Columbus Blue Jackets | |
GP: 23 | W: 13 | L: 8 | OTL: 2 | P: 28 GF: 74 | GA: 68 | PP%: 28.95% | PK%: 83.52% GM : Alexandre Fyfe | Morale : 56 | Team Overall : N/A Next Games #404 vs Calgary Flames |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Anze Kopitar | X | 100.00 | 65 | 38 | 95 | 74 | 88 | 92 | 90 | 78 | 85 | 82 | 77 | 87 | 76 | 92 | 96 | 38 | 55 | 0 | 0 | 37 | 2 | 7,000,000$ | ||||
2 | Andrew Cogliano | X | X | X | 100.00 | 64 | 33 | 88 | 69 | 66 | 79 | 89 | 65 | 62 | 63 | 61 | 87 | 64 | 91 | 77 | 37 | 51 | 0 | 0 | 37 | 2 | 1,000,000$ | ||
3 | David Pastrnak (A) | X | X | 100.00 | 70 | 38 | 84 | 88 | 74 | 92 | 87 | 89 | 57 | 86 | 93 | 66 | 91 | 75 | 74 | 67 | 50 | 0 | 0 | 28 | 1 | 4,000,000$ | |||
4 | Matt Nieto | X | X | 100.00 | 64 | 34 | 94 | 67 | 72 | 82 | 79 | 65 | 59 | 62 | 63 | 77 | 64 | 79 | 73 | 43 | 62 | 0 | 0 | 31 | 3 | 2,750,000$ | |||
5 | Elias Pettersson (C) | X | X | X | 100.00 | 72 | 35 | 95 | 83 | 76 | 91 | 90 | 82 | 77 | 87 | 84 | 86 | 81 | 69 | 77 | 84 | 48 | 0 | 0 | 25 | 3 | 7,800,000$ | ||
6 | Alex Tuch | X | X | 100.00 | 69 | 44 | 84 | 80 | 89 | 90 | 88 | 75 | 58 | 81 | 79 | 85 | 77 | 71 | 76 | 69 | 62 | 0 | 0 | 28 | 2 | 4,750,000$ | |||
7 | Alex Iafallo | X | X | 100.00 | 63 | 35 | 95 | 72 | 75 | 86 | 87 | 69 | 57 | 71 | 67 | 81 | 68 | 75 | 77 | 34 | 62 | 0 | 0 | 30 | 1 | 2,450,000$ | |||
8 | Alexander Holtz (R) | X | 100.00 | 64 | 37 | 93 | 70 | 73 | 82 | 81 | 67 | 59 | 61 | 68 | 64 | 73 | 62 | 65 | 87 | 45 | 0 | 0 | 22 | 1 | 925,000$ | ||||
9 | Cole Smith | X | X | 100.00 | 85 | 70 | 74 | 66 | 82 | 80 | 88 | 63 | 54 | 65 | 60 | 83 | 58 | 69 | 72 | 36 | 60 | 0 | 0 | 28 | 4 | 775,000$ | |||
10 | Cole Sillinger (R) | X | 100.00 | 73 | 42 | 83 | 68 | 77 | 85 | 89 | 66 | 75 | 65 | 62 | 74 | 67 | 63 | 65 | 85 | 62 | 0 | 0 | 21 | 2 | 925,000$ | ||||
11 | Juraj Slafkovsky (R) | X | X | 100.00 | 75 | 49 | 77 | 71 | 89 | 87 | 83 | 73 | 59 | 72 | 69 | 65 | 71 | 62 | 70 | 94 | 62 | 0 | 0 | 20 | 1 | 950,000$ | |||
12 | Ryan Suter | X | 100.00 | 70 | 36 | 90 | 67 | 78 | 92 | 90 | 65 | 30 | 74 | 55 | 77 | 50 | 94 | 80 | 34 | 62 | 0 | 0 | 39 | 3 | 2,000,000$ | ||||
13 | Jake Walman | X | 100.00 | 66 | 39 | 77 | 72 | 81 | 90 | 84 | 71 | 30 | 70 | 73 | 89 | 58 | 69 | 71 | 53 | 52 | 0 | 0 | 28 | 2 | 750,000$ | ||||
14 | Moritz Seider | X | 100.00 | 82 | 56 | 82 | 75 | 84 | 93 | 90 | 74 | 30 | 80 | 64 | 93 | 55 | 65 | 72 | 87 | 62 | 0 | 0 | 23 | 2 | 832,500$ | ||||
15 | Cale Makar | X | 99.00 | 67 | 34 | 90 | 85 | 72 | 95 | 86 | 82 | 30 | 95 | 81 | 93 | 63 | 68 | 70 | 85 | 62 | 0 | 0 | 25 | 3 | 9,000,000$ | ||||
16 | Jake Sanderson | X | 100.00 | 64 | 39 | 93 | 75 | 81 | 93 | 89 | 71 | 30 | 78 | 65 | 89 | 55 | 63 | 70 | 89 | 62 | 0 | 0 | 22 | 1 | 925,000$ | ||||
17 | Pavel Mintyukov (R) | X | 100.00 | 68 | 35 | 88 | 71 | 76 | 89 | 72 | 67 | 30 | 73 | 59 | 68 | 53 | 60 | 65 | 86 | 51 | 0 | 0 | 20 | 2 | 950,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Leon Draisaitl | X | X | X | 89.03 | 67 | 36 | 80 | 85 | 82 | 92 | 90 | 89 | 88 | 92 | 90 | 66 | 89 | 77 | 78 | 72 | 47 | 0 | 0 | 28 | 1 | 9,000,000$ | ||
2 | Kirby Dach | X | X | 58.99 | 62 | 44 | 79 | 76 | 89 | 87 | 47 | 75 | 70 | 73 | 67 | 71 | 75 | 63 | 65 | 89 | 52 | 0 | 0 | 23 | 1 | 2,500,000$ | |||
3 | Chad Ruhwedel | X | 100.00 | 77 | 34 | 93 | 63 | 71 | 83 | 78 | 58 | 30 | 62 | 54 | 79 | 47 | 75 | 74 | 23 | 33 | 0 | 0 | 34 | 5 | 800,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Danick Martel | X | 100.00 | 40 | 35 | 40 | 58 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 69 | 71 | 11 | 47 | 0 | 0 | 29 | 2 | 950,000$ | ||||
2 | Phillip Di Giuseppe | X | X | 100.00 | 73 | 41 | 79 | 65 | 73 | 87 | 82 | 63 | 66 | 65 | 64 | 71 | 66 | 72 | 74 | 59 | 43 | 0 | 0 | 30 | 4 | 775,000$ | |||
3 | Michael Pezzetta | X | X | 100.00 | 93 | 78 | 70 | 65 | 81 | 73 | 83 | 63 | 58 | 62 | 59 | 61 | 64 | 66 | 67 | 48 | 47 | 0 | 0 | 26 | 4 | 800,000$ | |||
4 | Dylan Holloway (R) | X | X | 100.00 | 76 | 42 | 81 | 66 | 79 | 81 | 82 | 64 | 60 | 61 | 67 | 62 | 68 | 63 | 65 | 83 | 47 | 0 | 0 | 23 | 1 | 925,000$ | |||
5 | Vasily Podkolzin (R) | X | 100.00 | 76 | 38 | 89 | 66 | 75 | 86 | 84 | 64 | 63 | 60 | 62 | 61 | 62 | 63 | 65 | 85 | 47 | 0 | 0 | 23 | 2 | 925,000$ | ||||
6 | Kent Johnson (R) | X | X | 100.00 | 60 | 36 | 95 | 72 | 70 | 84 | 85 | 74 | 73 | 71 | 69 | 63 | 75 | 62 | 66 | 88 | 49 | 0 | 0 | 21 | 1 | 925,000$ | |||
7 | Alexander Petrovic | X | 100.00 | 81 | 71 | 77 | 60 | 91 | 78 | 86 | 59 | 30 | 58 | 57 | 61 | 48 | 73 | 74 | 47 | 50 | 0 | 0 | 32 | 2 | 900,000$ | ||||
8 | Andreas Englund | X | 100.00 | 81 | 73 | 69 | 63 | 86 | 79 | 87 | 61 | 30 | 65 | 58 | 67 | 49 | 68 | 70 | 62 | 47 | 0 | 0 | 28 | 1 | 700,000$ | ||||
9 | Dennis Cholowski (R) | X | 100.00 | 67 | 38 | 93 | 63 | 82 | 80 | 86 | 62 | 30 | 60 | 55 | 59 | 48 | 66 | 68 | 78 | 50 | 0 | 0 | 26 | 1 | 750,000$ | ||||
10 | Jordan Spence | X | 100.00 | 66 | 41 | 89 | 67 | 68 | 83 | 85 | 65 | 30 | 73 | 59 | 63 | 50 | 63 | 65 | 62 | 45 | 0 | 0 | 23 | 1 | 750,000$ | ||||
TEAM AVERAGE | 98.23 | 70 | 43 | 84 | 71 | 77 | 86 | 84 | 69 | 51 | 70 | 66 | 73 | 63 | 70 | 72 | 64 | 52 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor Ingram (R) | 100.00 | 82 | 97 | 81 | 80 | 83 | 83 | 84 | 84 | 85 | 71 | 90 | 67 | 77 | 54 | 64 | 0 | 0 | 27 | 2 | 750,000$ | |
2 | Dennis Hildeby (R) | 100.00 | 58 | 95 | 74 | 91 | 59 | 62 | 62 | 62 | 62 | 51 | 70 | 63 | 69 | 58 | 58 | 0 | 0 | 23 | 1 | 850,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Scott Wedgewood | 100.00 | 77 | 98 | 75 | 81 | 78 | 78 | 79 | 78 | 79 | 66 | 88 | 74 | 86 | 50 | 46 | 0 | 0 | 32 | 1 | 700,000$ | |
2 | Cale Morris | 100.00 | 59 | 95 | 67 | 75 | 60 | 52 | 52 | 52 | 53 | 44 | 64 | 68 | 81 | 36 | 50 | 0 | 0 | 28 | 1 | 750,000$ | |
3 | Jet Greaves (R) | 100.00 | 69 | 99 | 85 | 71 | 70 | 65 | 64 | 64 | 65 | 53 | 76 | 63 | 69 | 58 | 45 | 0 | 0 | 23 | 2 | 775,000$ | |
TEAM AVERAGE | 100.00 | 69 | 97 | 76 | 80 | 70 | 68 | 68 | 68 | 69 | 57 | 78 | 67 | 76 | 51 | 53 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bruce Cassidy | 88 | 91 | 90 | 89 | 88 | 82 | 58 | CAN | 59 | 2 | 4,200,000$ |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
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1 | Cale Makar | Columbus Blue Jackets | D | 23 | 8 | 28 | 36 | 0 | 26 | 0 | 33 | 28 | 66 | 18 | 35 | 12.12% | 31 | 579 | 25.18 | 4 | 9 | 13 | 35 | 61 | 0 | 0 | 0 | 1 | 69 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 1.24 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 1 |
2 | Moritz Seider | Columbus Blue Jackets | D | 23 | 6 | 15 | 21 | -1 | 30 | 0 | 51 | 20 | 32 | 16 | 22 | 18.75% | 24 | 519 | 22.60 | 3 | 7 | 10 | 20 | 61 | 1 | 0 | 1 | 2 | 59 | 1 | 1 | 0% | 0 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |
3 | Elias Pettersson | Columbus Blue Jackets | C/LW/RW | 15 | 11 | 9 | 20 | 10 | 8 | 0 | 17 | 35 | 57 | 16 | 43 | 19.30% | 1 | 298 | 19.88 | 2 | 3 | 5 | 10 | 47 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 45.00% | 20 | 0 | 0 | 0 | 1 | 1.34 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 1 |
4 | Alex Tuch | Columbus Blue Jackets | LW/RW | 23 | 10 | 8 | 18 | -6 | 10 | 0 | 27 | 32 | 69 | 21 | 63 | 14.49% | 6 | 440 | 19.14 | 4 | 3 | 7 | 12 | 59 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 33.33% | 33 | 0 | 0 | 0 | 0 | 0.82 | 1 | 1 | 0 | 0 | 0 | 2 | 2 | 0 |
5 | Anze Kopitar | Columbus Blue Jackets | C | 24 | 8 | 9 | 17 | -11 | 2 | 0 | 13 | 50 | 66 | 21 | 38 | 12.12% | 2 | 442 | 18.42 | 1 | 5 | 6 | 6 | 41 | 0 | 0 | 0 | 0 | 36 | 0 | 0 | 54.91% | 550 | 0 | 0 | 0 | 1 | 0.77 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 1 |
6 | Leon Draisaitl | Columbus Blue Jackets | C/LW/RW | 12 | 5 | 9 | 14 | 4 | 2 | 0 | 13 | 25 | 53 | 4 | 41 | 9.43% | 2 | 255 | 21.27 | 1 | 2 | 3 | 9 | 38 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 49.71% | 348 | 0 | 0 | 0 | 0 | 1.10 | 1 | 3 | 0 | 0 | 0 | 0 | 2 | 0 |
7 | Kirby Dach | Columbus Blue Jackets | C/RW | 21 | 8 | 6 | 14 | 0 | 6 | 0 | 19 | 24 | 37 | 10 | 21 | 21.62% | 1 | 286 | 13.64 | 1 | 4 | 5 | 6 | 25 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 51.52% | 328 | 0 | 0 | 0 | 0 | 0.98 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 |
8 | David Pastrnak | Columbus Blue Jackets | LW/RW | 21 | 6 | 7 | 13 | -6 | 6 | 0 | 42 | 29 | 84 | 31 | 57 | 7.14% | 2 | 404 | 19.26 | 3 | 0 | 3 | 16 | 56 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 25.00% | 44 | 0 | 0 | 0 | 0 | 0.64 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 |
9 | Juraj Slafkovsky | Columbus Blue Jackets | LW/RW | 23 | 5 | 6 | 11 | 9 | 20 | 0 | 46 | 11 | 38 | 10 | 29 | 13.16% | 0 | 447 | 19.44 | 3 | 1 | 4 | 8 | 53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55.88% | 34 | 0 | 0 | 0 | 0 | 0.49 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
10 | Ryan Suter | Columbus Blue Jackets | D | 23 | 2 | 5 | 7 | -4 | 12 | 0 | 25 | 14 | 22 | 5 | 10 | 9.09% | 33 | 397 | 17.30 | 0 | 3 | 3 | 12 | 59 | 0 | 0 | 0 | 0 | 28 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
11 | Alex Iafallo | Columbus Blue Jackets | C/LW | 23 | 2 | 4 | 6 | -1 | 8 | 0 | 11 | 22 | 32 | 12 | 36 | 6.25% | 5 | 336 | 14.63 | 0 | 1 | 1 | 0 | 4 | 0 | 1 | 1 | 1 | 97 | 0 | 0 | 45.83% | 96 | 0 | 0 | 0 | 0 | 0.36 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 0 |
12 | Jake Sanderson | Columbus Blue Jackets | D | 23 | 1 | 5 | 6 | 0 | 2 | 0 | 8 | 20 | 15 | 3 | 12 | 6.67% | 32 | 455 | 19.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 87 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
13 | Pavel Mintyukov | Columbus Blue Jackets | D | 19 | 0 | 5 | 5 | -1 | 6 | 0 | 16 | 8 | 9 | 3 | 6 | 0% | 13 | 290 | 15.27 | 0 | 3 | 3 | 6 | 53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Andrew Cogliano | Columbus Blue Jackets | C/LW/RW | 21 | 1 | 3 | 4 | -1 | 4 | 0 | 9 | 25 | 14 | 13 | 18 | 7.14% | 7 | 237 | 11.29 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 1 | 81 | 0 | 0 | 46.73% | 214 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Jake Walman | Columbus Blue Jackets | D | 23 | 1 | 3 | 4 | 3 | 22 | 0 | 34 | 22 | 10 | 6 | 14 | 10.00% | 30 | 471 | 20.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66 | 0 | 1 | 0% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Cole Smith | Columbus Blue Jackets | LW/RW | 23 | 1 | 3 | 4 | 2 | 38 | 10 | 37 | 12 | 25 | 4 | 15 | 4.00% | 5 | 229 | 9.99 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 51 | 0 | 0 | 42.86% | 14 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 |
17 | Cole Sillinger | Columbus Blue Jackets | C | 23 | 1 | 2 | 3 | -1 | 2 | 0 | 14 | 20 | 22 | 4 | 14 | 4.55% | 1 | 230 | 10.02 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 34 | 0 | 0 | 48.53% | 272 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Phillip Di Giuseppe | Cleveland Monsters (CBJ) | LW/RW | 11 | 0 | 2 | 2 | -2 | 2 | 0 | 11 | 5 | 3 | 1 | 5 | 0% | 0 | 80 | 7.34 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 38.46% | 13 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
19 | Matt Nieto | Columbus Blue Jackets | LW/RW | 23 | 0 | 1 | 1 | 1 | 4 | 0 | 5 | 9 | 12 | 4 | 9 | 0% | 1 | 156 | 6.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 31 | 0 | 0 | 35.00% | 20 | 0 | 0 | 0 | 0 | 0.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
20 | Chad Ruhwedel | Columbus Blue Jackets | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0% | 0 | 4 | 2.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
21 | Alexander Holtz | Columbus Blue Jackets | RW | 12 | 0 | 0 | 0 | -6 | 2 | 0 | 7 | 5 | 12 | 1 | 3 | 0% | 0 | 173 | 14.48 | 0 | 0 | 0 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43.75% | 32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
22 | Jordan Spence | Cleveland Monsters (CBJ) | D | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0% | 1 | 62 | 15.53 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
23 | Kent Johnson | Cleveland Monsters (CBJ) | C/LW | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0% | 0 | 8 | 8.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 416 | 76 | 130 | 206 | -13 | 212 | 10 | 441 | 417 | 681 | 203 | 492 | 11.16% | 197 | 6807 | 16.36 | 22 | 41 | 63 | 143 | 582 | 1 | 2 | 3 | 10 | 651 | 11 | 5 | 49.68% | 2019 | 0 | 0 | 0 | 2 | 0.61 | 4 | 12 | 0 | 0 | 2 | 11 | 11 | 9 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Connor Ingram | Columbus Blue Jackets | 13 | 7 | 2 | 2 | 0.898 | 3.14 | 689 | 0 | 1 | 36 | 353 | 0 | 0 | 0 | 0.667 | 6 | 11 | 16 | 2 | 1 | 0 |
2 | Dennis Hildeby | Columbus Blue Jackets | 2 | 1 | 1 | 0 | 0.881 | 3.50 | 120 | 0 | 0 | 7 | 59 | 0 | 1 | 0 | 0 | 0 | 2 | 10 | 0 | 0 | 0 |
3 | Scott Wedgewood | Cleveland Monsters (CBJ) | 1 | 0 | 1 | 0 | 0.927 | 3.00 | 60 | 2 | 0 | 3 | 41 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 0 | 0 | 0 |
4 | Jet Greaves | Cleveland Monsters (CBJ) | 2 | 0 | 2 | 0 | 0.807 | 5.55 | 119 | 0 | 0 | 11 | 57 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | 0 | 0 | 0 |
Team Total or Average | 18 | 8 | 6 | 2 | 0.888 | 3.46 | 989 | 2 | 1 | 57 | 510 | 0 | 1 | 1 | 6 | 16 | 35 | 2 | 1 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Player Name | Team Name | POS | Age | Birthday | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Iafallo | Columbus Blue Jackets | C/LW | 30 | 1993-12-21 | USA | No | 201 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 2,450,000$ | 1,716,244$ | 2,450,000$ | 1,716,244$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Alex Tuch | Columbus Blue Jackets | LW/RW | 28 | 1996-05-10 | USA | No | 215 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 4,750,000$ | 3,327,411$ | 4,750,000$ | 3,327,411$ | No | 4,750,000$ | - | - | - | - | - | - | - | - | 4,750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Alexander Holtz | Columbus Blue Jackets | RW | 22 | 2002-01-23 | SWE | Yes | 195 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 925,000$ | 647,970$ | 925,000$ | 647,970$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Andrew Cogliano | Columbus Blue Jackets | C/LW/RW | 37 | 1987-07-28 | CAN | No | 179 Lbs | 5 ft10 | No | No | N/A | No | No | 2 | False | False | Pro Only | 1,000,000$ | 700,508$ | 1,000,000$ | 700,508$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Anze Kopitar | Columbus Blue Jackets | C | 37 | 1987-07-28 | SVN | No | 225 Lbs | 6 ft3 | No | No | Trade | 2024-10-15 | No | No | 2 | 2024-05-19 | False | False | Pro & Farm | 7,000,000$ | 4,903,553$ | 7,000,000$ | 4,903,553$ | No | 7,000,000$ | - | - | - | - | - | - | - | - | 7,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link |
Cale Makar | Columbus Blue Jackets | D | 25 | 1998-10-30 | CAN | No | 187 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 9,000,000$ | 6,304,569$ | 9,000,000$ | 6,304,569$ | No | 9,000,000$ | 9,000,000$ | - | - | - | - | - | - | - | 9,000,000$ | 9,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Chad Ruhwedel | Columbus Blue Jackets | D | 34 | 1990-05-07 | USA | No | 191 Lbs | 5 ft11 | No | No | N/A | No | No | 5 | 2024-05-19 | False | False | Pro & Farm | 800,000$ | 560,406$ | 800,000$ | 560,406$ | No | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Link | |
Cole Sillinger | Columbus Blue Jackets | C | 21 | 2003-05-16 | CAN | Yes | 199 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | 2024-05-19 | False | False | Pro & Farm | 925,000$ | 647,970$ | 925,000$ | 647,970$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Cole Smith | Columbus Blue Jackets | LW/RW | 28 | 1995-10-28 | USA | No | 195 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 4 | 2024-08-27 | False | False | Pro & Farm | 775,000$ | 542,893$ | 775,000$ | 542,893$ | No | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | 600,000$ | 600,000$ | 600,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | |
Connor Ingram | Columbus Blue Jackets | G | 27 | 1997-03-31 | CAN | Yes | 196 Lbs | 6 ft2 | No | No | Trade | 2024-11-21 | No | No | 2 | False | False | Pro & Farm | 750,000$ | 525,381$ | 750,000$ | 525,381$ | No | 750,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
David Pastrnak | Columbus Blue Jackets | LW/RW | 28 | 1996-05-25 | CZE | No | 196 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 4,000,000$ | 2,802,030$ | 4,000,000$ | 2,802,030$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Dennis Hildeby | Columbus Blue Jackets | G | 23 | 2001-08-19 | SWE | Yes | 209 Lbs | 6 ft5 | No | No | Trade | 2024-09-14 | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 850,000$ | 595,431$ | 850,000$ | 595,431$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link |
Elias Pettersson | Columbus Blue Jackets | C/LW/RW | 25 | 1998-11-12 | SWE | No | 176 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 7,800,000$ | 5,463,959$ | 7,800,000$ | 5,463,959$ | No | 7,800,000$ | 7,800,000$ | - | - | - | - | - | - | - | 7,800,000$ | 7,800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Jake Sanderson | Columbus Blue Jackets | D | 22 | 2002-07-08 | USA | No | 203 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 647,970$ | 925,000$ | 647,970$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Jake Walman | Columbus Blue Jackets | D | 28 | 1996-02-20 | CAN | No | 218 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 525,381$ | 750,000$ | 525,381$ | No | 750,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Juraj Slafkovsky | Columbus Blue Jackets | LW/RW | 20 | 2004-03-30 | SVK | Yes | 230 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 950,000$ | 665,482$ | 950,000$ | 665,482$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Kirby Dach (Out of Payroll) | Columbus Blue Jackets | C/RW | 23 | 2001-01-21 | CAN | No | 212 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 2,500,000$ | 1,751,269$ | 0$ | 0$ | Yes | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Leon Draisaitl (Out of Payroll) | Columbus Blue Jackets | C/LW/RW | 28 | 1995-10-27 | DEU | No | 209 Lbs | 6 ft2 | No | No | Trade | 2024-05-31 | No | No | 1 | False | False | Pro & Farm | 9,000,000$ | 6,304,569$ | 0$ | 0$ | Yes | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Matt Nieto | Columbus Blue Jackets | LW/RW | 31 | 1992-11-05 | USA | No | 187 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 2,750,000$ | 1,926,396$ | 2,750,000$ | 1,926,396$ | No | 2,750,000$ | 2,750,000$ | - | - | - | - | - | - | - | 600,000$ | 600,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Moritz Seider | Columbus Blue Jackets | D | 23 | 2001-04-06 | DEU | No | 205 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | 2024-05-19 | False | False | Pro & Farm | 832,500$ | 583,173$ | 832,500$ | 583,173$ | No | 832,500$ | - | - | - | - | - | - | - | - | 832,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Pavel Mintyukov | Columbus Blue Jackets | D | 20 | 2003-11-25 | RUS | Yes | 195 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 2 | 2024-08-20 | False | False | Pro & Farm | 950,000$ | 665,482$ | 950,000$ | 665,482$ | No | 950,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Ryan Suter | Columbus Blue Jackets | D | 39 | 1985-07-28 | USA | No | 201 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 2,000,000$ | 1,401,015$ | 2,000,000$ | 1,401,015$ | No | 2,000,000$ | 2,000,000$ | - | - | - | - | - | - | - | 2,000,000$ | 2,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
22 | 27.23 | 201 Lbs | 6 ft2 | 2.05 | 2,803,750$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
61,682,500$ | 40,082,500$ | 23,125,000$ | 1,575,000$ | 800,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Elias Pettersson | Juraj Slafkovsky | 40 | 0 | 1 | 4 | |
2 | David Pastrnak | Anze Kopitar | Alex Tuch | 36 | 0 | 2 | 3 |
3 | Alex Iafallo | Cole Sillinger | Alexander Holtz | 18 | 0 | 3 | 2 |
4 | Cole Smith | Andrew Cogliano | Matt Nieto | 6 | 0 | 4 | 1 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Cale Makar | Jake Walman | 38 | 0 | 3 | 2 | |
2 | Jake Sanderson | Moritz Seider | 32 | 0 | 4 | 1 | |
3 | Pavel Mintyukov | Ryan Suter | 24 | 0 | 4 | 1 | |
4 | Cale Makar | Moritz Seider | 6 | 0 | 4 | 1 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Elias Pettersson | Anze Kopitar | David Pastrnak | 75 | 0 | 0 | 5 |
2 | Juraj Slafkovsky | Alex Tuch | 25 | 0 | 1 | 4 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Cale Makar | Moritz Seider | 70 | 0 | 1 | 4 | |
2 | Pavel Mintyukov | Ryan Suter | 30 | 0 | 2 | 3 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Alex Iafallo | Cole Smith | 60 | 1 | 4 | 0 |
2 | Andrew Cogliano | Matt Nieto | 40 | 1 | 4 | 0 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Jake Sanderson | Jake Walman | 55 | 1 | 4 | 0 |
2 | Cale Makar | Moritz Seider | 45 | 1 | 4 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Anze Kopitar | 55 | 1 | 4 | 0 | Jake Sanderson | Jake Walman | 55 | 1 | 4 | 0 |
2 | Andrew Cogliano | 45 | 1 | 4 | 0 | Cale Makar | Moritz Seider | 45 | 1 | 4 | 0 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Anze Kopitar | David Pastrnak | 60 | 0 | 1 | 4 |
2 | Anze Kopitar | Alex Tuch | 40 | 0 | 1 | 4 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Jake Sanderson | Jake Walman | 60 | 0 | 3 | 2 |
2 | Cale Makar | Moritz Seider | 40 | 0 | 3 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Elias Pettersson | Anze Kopitar | David Pastrnak | Cale Makar | Moritz Seider |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Alex Iafallo | Anze Kopitar | Elias Pettersson | Cale Makar | Jake Sanderson |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Alexander Holtz, Juraj Slafkovsky, David Pastrnak | Alex Tuch, Cole Sillinger | Matt Nieto |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Moritz Seider, Cale Makar, Jake Sanderson | Jake Sanderson | Cale Makar, Jake Sanderson |
Penalty Shots |
---|
David Pastrnak, Anze Kopitar, Juraj Slafkovsky, Alex Tuch, Cale Makar |
Goalie |
---|
#1 : , #2 : Dennis Hildeby |
Custom OT Lines Forwards |
---|
David Pastrnak, Elias Pettersson, Anze Kopitar, Alex Tuch, , Juraj Slafkovsky, Juraj Slafkovsky, Cole Sillinger, Alex Iafallo, Matt Nieto, Cole Smith |
Custom OT Lines Defensemen |
---|
Cale Makar, Moritz Seider, Jake Sanderson, Jake Walman, Ryan Suter |
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# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
1 | Anaheim Ducks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 26 | 9 | 9 | 8 | 0 | 32 | 14 | 6 | 8 | 3 | 2 | 66.67% | 3 | 1 | 66.67% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 23 | 16 | 23 | 6 | 12 | 6 |
2 | Boston Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 2 | 0 | 20 | 3 | 6 | 11 | 0 | 32 | 11 | 10 | 21 | 3 | 2 | 66.67% | 5 | 2 | 60.00% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 23 | 15 | 23 | 6 | 13 | 6 |
3 | Buffalo Sabres | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 1 | 1 | 1 | 0 | 27 | 12 | 7 | 8 | 0 | 14 | 3 | 4 | 22 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 25 | 17 | 21 | 6 | 12 | 6 |
4 | Calgary Flames | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 26 | 4 | 10 | 12 | 0 | 27 | 7 | 13 | 23 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 1 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 22 | 15 | 25 | 8 | 12 | 5 |
5 | Carolina Hurricanes | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 19 | 5 | 7 | 7 | 0 | 27 | 10 | 25 | 13 | 2 | 1 | 50.00% | 5 | 0 | 100.00% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 24 | 17 | 22 | 7 | 13 | 6 |
6 | Chicago Blackhawks | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 0 | 1 | 1 | 30 | 8 | 9 | 12 | 1 | 28 | 14 | 8 | 18 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 25 | 18 | 23 | 6 | 11 | 5 |
7 | Colorado Avalanche | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 1 | 3 | 1 | 0 | 43 | 12 | 17 | 14 | 0 | 17 | 9 | 8 | 19 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 28 | 20 | 19 | 7 | 12 | 6 |
8 | Edmonton Oilers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 2 | 0 | 44 | 17 | 15 | 12 | 0 | 26 | 9 | 12 | 27 | 6 | 2 | 33.33% | 5 | 0 | 100.00% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 29 | 21 | 19 | 5 | 10 | 5 |
9 | Florida Panthers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 25 | 11 | 8 | 6 | 0 | 37 | 9 | 10 | 25 | 4 | 1 | 25.00% | 5 | 1 | 80.00% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 24 | 16 | 24 | 7 | 11 | 5 |
10 | Los Angeles Kings | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 0 | 2 | 0 | 22 | 11 | 4 | 7 | 0 | 27 | 3 | 6 | 32 | 2 | 2 | 100.00% | 3 | 1 | 66.67% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 21 | 15 | 24 | 7 | 13 | 6 |
11 | Minnesota Wild | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 | 5 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 3 | 0.750 | 5 | 10 | 15 | 0 | 0 | 0 | 1 | 3 | 1 | 65 | 18 | 27 | 18 | 2 | 71 | 21 | 14 | 37 | 11 | 1 | 9.09% | 5 | 0 | 100.00% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 49 | 34 | 47 | 14 | 26 | 13 |
12 | Montreal Canadiens | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 0 | 2 | 0 | 61 | 19 | 19 | 23 | 0 | 61 | 14 | 24 | 35 | 4 | 2 | 50.00% | 11 | 2 | 81.82% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 50 | 34 | 44 | 13 | 25 | 11 |
13 | Nashville Predators | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 33 | 12 | 15 | 6 | 0 | 41 | 10 | 10 | 13 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 23 | 16 | 24 | 6 | 11 | 5 |
14 | New York Islanders | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 2 | 2 | 0 | 26 | 9 | 8 | 9 | 0 | 42 | 7 | 4 | 20 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 22 | 15 | 24 | 6 | 12 | 5 |
15 | Pittsburgh Penguins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 29 | 9 | 8 | 12 | 0 | 27 | 5 | 14 | 14 | 3 | 1 | 33.33% | 7 | 0 | 100.00% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 23 | 15 | 22 | 7 | 13 | 6 |
16 | San Jose Sharks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 1 | 1 | 1 | 0 | 35 | 13 | 11 | 11 | 0 | 26 | 14 | 4 | 17 | 3 | 2 | 66.67% | 2 | 1 | 50.00% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 25 | 18 | 22 | 6 | 12 | 5 |
17 | Seattle Kraken | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 33 | 17 | 7 | 9 | 0 | 19 | 10 | 6 | 17 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 26 | 18 | 20 | 7 | 13 | 6 |
18 | Tampa Bay Lightning | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 2 | 2 | 0 | 0 | 31 | 14 | 11 | 6 | 0 | 27 | 4 | 6 | 24 | 6 | 1 | 16.67% | 3 | 2 | 33.33% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 30 | 22 | 18 | 6 | 10 | 6 |
19 | Toronto Maple Leafs | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 2 | 1 | 3 | 0 | 0 | 1 | 0 | 0 | 3 | 29 | 11 | 7 | 10 | 9 | 25 | 9 | 14 | 20 | 2 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 25 | 17 | 26 | 8 | 12 | 6 |
20 | Washington Capitals | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 3 | 6 | 0 | 0 | 0 | 1 | 1 | 1 | 30 | 7 | 11 | 10 | 5 | 33 | 10 | 8 | 26 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 25 | 17 | 26 | 8 | 13 | 7 |
21 | Winnipeg Jets | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 25 | 3 | 12 | 9 | 3 | 31 | 5 | 8 | 16 | 3 | 1 | 33.33% | 4 | 0 | 100.00% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 25 | 18 | 27 | 8 | 12 | 5 |
Total | 23 | 9 | 8 | 0 | 2 | 1 | 2 | 1 | 74 | 68 | 6 | 12 | 6 | 3 | 0 | 1 | 0 | 1 | 1 | 41 | 31 | 10 | 11 | 3 | 5 | 0 | 1 | 1 | 1 | 0 | 33 | 37 | -4 | 28 | 0.609 | 74 | 130 | 204 | 1 | 1 | 23 | 24 | 23 | 6 | 679 | 224 | 228 | 220 | 20 | 670 | 198 | 214 | 447 | 76 | 22 | 28.95% | 91 | 15 | 83.52% | 1 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 577 | 405 | 534 | 165 | 288 | 144 | |
_Since Last GM Reset | 23 | 9 | 8 | 0 | 2 | 1 | 2 | 1 | 74 | 68 | 6 | 12 | 6 | 3 | 0 | 1 | 0 | 1 | 1 | 41 | 31 | 10 | 11 | 3 | 5 | 0 | 1 | 1 | 1 | 0 | 33 | 37 | -4 | 28 | 0.609 | 74 | 130 | 204 | 1 | 1 | 23 | 24 | 23 | 6 | 679 | 224 | 228 | 220 | 20 | 670 | 198 | 214 | 447 | 76 | 22 | 28.95% | 91 | 15 | 83.52% | 1 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 577 | 405 | 534 | 165 | 288 | 144 | |
_Vs Conference | 11 | 4 | 5 | 0 | 0 | 0 | 2 | 0 | 34 | 32 | 2 | 8 | 4 | 3 | 0 | 0 | 0 | 1 | 0 | 28 | 23 | 5 | 3 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 6 | 9 | -3 | 12 | 0.545 | 34 | 56 | 90 | 0 | 1 | 10 | 11 | 11 | 4 | 297 | 100 | 92 | 102 | 14 | 325 | 82 | 119 | 220 | 32 | 9 | 28.13% | 49 | 8 | 83.67% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 275 | 191 | 256 | 80 | 138 | 69 | |
_Vs Division | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 16 | 14 | 2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 4 | 0.500 | 16 | 27 | 43 | 0 | 0 | 5 | 5 | 5 | 1 | 104 | 30 | 34 | 38 | 5 | 129 | 32 | 51 | 73 | 10 | 3 | 30.00% | 16 | 0 | 100.00% | 0 | 401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% | 96 | 66 | 96 | 30 | 52 | 26 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
23 | 28 | OTW1 | 74 | 130 | 204 | 679 | 670 | 198 | 214 | 447 | 1 | 1 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
23 | 9 | 8 | 2 | 1 | 2 | 1 | 74 | 68 |
Home Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
12 | 6 | 3 | 1 | 0 | 1 | 1 | 41 | 31 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
11 | 3 | 5 | 1 | 1 | 1 | 0 | 33 | 37 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
4 | 5 | 1 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
76 | 22 | 28.95% | 91 | 15 | 83.52% | 1 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
224 | 228 | 220 | 20 | 23 | 24 | 23 | 6 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
401 | 793 | 50.57% | 409 | 807 | 50.68% | 174 | 360 | 48.33% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
577 | 405 | 534 | 165 | 288 | 144 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 6000 | 5100 | 3000 | 4500 | 1400 |
Ticket Price | 100 | 60 | 35 | 20 | 200 |
Attendance | 59,082 | 59,912 | 35,922 | 51,901 | 14,110 |
Attendance PCT | 82.06% | 97.90% | 99.78% | 96.11% | 83.99% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
29 | 18411 - 92.05% | 1,778,792$ | 21,345,506$ | 20000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
19,525,206$ | 59,182,500$ | 54,957,500$ | 4,200,000$0$ | 5,558,375$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
254,734$ | 17,404,408$ | 0$ | 20 | 2 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
51,584,973$ | 138 | 321,739$ | 44,399,982$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
45,139,377$ | 132,707,580$ | 141,399,118$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
58,116,075$ | 25,383,925$ | 83,500,000$ | -3,583,925$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Last Trade Date | Link |
---|---|---|---|---|---|---|
Adam Jiricek | Columbus Blue Jackets | 0 | 0 | |||
Anton Burdasov | Columbus Blue Jackets | 0 | 0 | |||
Artyom Shchuchinov | Columbus Blue Jackets | 0 | 0 | |||
Beckett Sennecke | Columbus Blue Jackets | 0 | 0 | |||
Carter Yakemchuk | Columbus Blue Jackets | 0 | 0 | |||
Charlie Stramel | Columbus Blue Jackets | 0 | 0 | |||
Chaz Lucius | Columbus Blue Jackets | 0 | 0 | |||
Cutter Gauthier | Columbus Blue Jackets | 0 | 0 | |||
Dmitri Simashev | Columbus Blue Jackets | 0 | 0 | |||
Elias Pettersson | Columbus Blue Jackets | 0 | 0 | |||
Evan Gardner | Columbus Blue Jackets | 0 | 0 | |||
Filip Mesar | Columbus Blue Jackets | 0 | 0 | |||
Igor Chernyshov | Columbus Blue Jackets | 0 | 0 | |||
Jonathan Lekkerimaki | Columbus Blue Jackets | 0 | 0 | |||
Kari Lehtonen | Columbus Blue Jackets | 0 | 0 | |||
Konsta Helenius | Columbus Blue Jackets | 0 | 0 | |||
Liam Ohgren | Columbus Blue Jackets | 0 | 0 | |||
Linus Nassen | Columbus Blue Jackets | 0 | 0 | |||
Marcus Sylvegard | Columbus Blue Jackets | 0 | 0 | |||
Michael Brandsegg-Nygard | Columbus Blue Jackets | 0 | 0 | |||
Mirco Mueller | Columbus Blue Jackets | 0 | 0 | |||
Timur Kol | Columbus Blue Jackets | 0 | 0 | 2024-10-15 | ||
Yegor Surin | Columbus Blue Jackets | 0 | 0 | |||
Zach Bolduc | Columbus Blue Jackets | 0 | 0 |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
---|---|---|---|---|---|---|---|
22 | CBJ | DET | CBJ | ||||
23 | CBJ | CBJ | CBJ | CBJ | CBJ | CBJ | CBJ |
24 | CBJ | CBJ | CBJ | CBJ | CBJ | CBJ | CBJ |
25 | CBJ | CBJ | CBJ | CBJ | CBJ | CBJ | CBJ |
26 | CBJ | CBJ | CBJ | CBJ | CBJ | CBJ | CBJ |
Conditional Draft Picks |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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