Columbus Blue Jackets | |
GP: 22 | W: 12 | L: 8 | OTL: 2 | P: 26 GF: 71 | GA: 66 | PP%: 28.77% | PK%: 83.91% GM : Alexandre Fyfe | Morale : 54 | Team Overall : N/A Next Games #390 vs Chicago Blackhawks |
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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 | 52 | 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 | 49 | 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 | 48 | 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 | 59 | 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 | 45 | 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 | 59 | 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 | 59 | 0 | 0 | 30 | 1 | 2,450,000$ | |||
8 | Kirby Dach | X | X | 100.00 | 62 | 44 | 79 | 76 | 89 | 87 | 47 | 75 | 70 | 73 | 67 | 71 | 75 | 63 | 65 | 89 | 60 | 0 | 0 | 23 | 1 | 2,500,000$ | |||
9 | Alexander Holtz (R) | X | 100.00 | 64 | 37 | 93 | 70 | 73 | 82 | 81 | 67 | 59 | 61 | 68 | 64 | 73 | 62 | 65 | 87 | 43 | 0 | 0 | 22 | 1 | 925,000$ | ||||
10 | Cole Smith | X | X | 100.00 | 85 | 70 | 74 | 66 | 82 | 80 | 88 | 63 | 54 | 65 | 60 | 83 | 58 | 69 | 72 | 36 | 57 | 0 | 0 | 28 | 4 | 775,000$ | |||
11 | Cole Sillinger (R) | X | 100.00 | 73 | 42 | 83 | 68 | 77 | 85 | 89 | 66 | 75 | 65 | 62 | 74 | 67 | 63 | 65 | 85 | 59 | 0 | 0 | 21 | 2 | 925,000$ | ||||
12 | Juraj Slafkovsky (R) | X | X | 100.00 | 75 | 49 | 77 | 71 | 89 | 87 | 83 | 73 | 59 | 72 | 69 | 65 | 71 | 62 | 70 | 94 | 59 | 0 | 0 | 20 | 1 | 950,000$ | |||
13 | Ryan Suter | X | 100.00 | 70 | 36 | 90 | 67 | 78 | 92 | 90 | 65 | 30 | 74 | 55 | 77 | 50 | 94 | 80 | 34 | 59 | 0 | 0 | 39 | 3 | 2,000,000$ | ||||
14 | Jake Walman | X | 100.00 | 66 | 39 | 77 | 72 | 81 | 90 | 84 | 71 | 30 | 70 | 73 | 89 | 58 | 69 | 71 | 53 | 49 | 0 | 0 | 28 | 2 | 750,000$ | ||||
15 | Moritz Seider | X | 100.00 | 82 | 56 | 82 | 75 | 84 | 93 | 90 | 74 | 30 | 80 | 64 | 93 | 55 | 65 | 72 | 87 | 59 | 0 | 0 | 23 | 2 | 832,500$ | ||||
16 | Cale Makar | X | 100.00 | 67 | 34 | 90 | 85 | 72 | 95 | 86 | 82 | 30 | 95 | 81 | 93 | 63 | 68 | 70 | 85 | 59 | 0 | 0 | 25 | 3 | 9,000,000$ | ||||
17 | Jake Sanderson | X | 100.00 | 64 | 39 | 93 | 75 | 81 | 93 | 89 | 71 | 30 | 78 | 65 | 89 | 55 | 63 | 70 | 89 | 59 | 0 | 0 | 22 | 1 | 925,000$ | ||||
18 | Pavel Mintyukov (R) | X | 100.00 | 68 | 35 | 88 | 71 | 76 | 89 | 72 | 67 | 30 | 73 | 59 | 68 | 53 | 60 | 65 | 86 | 48 | 0 | 0 | 20 | 2 | 950,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Leon Draisaitl | X | X | X | 87.03 | 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 | Chad Ruhwedel | X | 100.00 | 77 | 34 | 93 | 63 | 71 | 83 | 78 | 58 | 30 | 62 | 54 | 79 | 47 | 75 | 74 | 23 | 34 | 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 | 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$ | ||||
7 | 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$ | ||||
8 | 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$ | ||||
9 | 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 | 99.55 | 70 | 44 | 83 | 71 | 77 | 86 | 84 | 68 | 50 | 70 | 66 | 73 | 63 | 71 | 72 | 63 | 51 | 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 | Linus Ullmark | 100.00 | 84 | 98 | 82 | 89 | 85 | 89 | 90 | 91 | 91 | 77 | 97 | 76 | 85 | 54 | 65 | 0 | 0 | 31 | 1 | 3,500,000$ | |
2 | Dennis Hildeby (R) | 100.00 | 58 | 95 | 74 | 91 | 59 | 62 | 62 | 62 | 62 | 51 | 70 | 63 | 69 | 58 | 55 | 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 | 77 | 81 | 70 | 69 | 69 | 69 | 70 | 58 | 79 | 69 | 78 | 51 | 52 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Cale Makar | Columbus Blue Jackets | D | 22 | 8 | 26 | 34 | -1 | 26 | 0 | 33 | 28 | 64 | 15 | 34 | 12.50% | 29 | 552 | 25.11 | 4 | 8 | 12 | 35 | 59 | 0 | 0 | 0 | 0 | 65 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 1.23 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 1 |
2 | Moritz Seider | Columbus Blue Jackets | D | 22 | 5 | 15 | 20 | -1 | 28 | 0 | 46 | 17 | 30 | 15 | 21 | 16.67% | 22 | 498 | 22.64 | 2 | 7 | 9 | 18 | 59 | 1 | 0 | 1 | 2 | 56 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 |
3 | Elias Pettersson | Columbus Blue Jackets | C/LW/RW | 14 | 10 | 9 | 19 | 9 | 8 | 0 | 17 | 33 | 49 | 13 | 42 | 20.41% | 1 | 277 | 19.85 | 2 | 3 | 5 | 9 | 44 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 47.37% | 19 | 0 | 0 | 0 | 1 | 1.37 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 1 |
4 | Anze Kopitar | Columbus Blue Jackets | C | 23 | 7 | 9 | 16 | -12 | 2 | 0 | 13 | 49 | 62 | 20 | 37 | 11.29% | 2 | 422 | 18.37 | 1 | 5 | 6 | 6 | 38 | 0 | 0 | 0 | 0 | 36 | 0 | 0 | 54.79% | 522 | 0 | 0 | 0 | 1 | 0.76 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 1 |
5 | Alex Tuch | Columbus Blue Jackets | LW/RW | 22 | 10 | 6 | 16 | -7 | 8 | 0 | 27 | 31 | 67 | 20 | 61 | 14.93% | 6 | 422 | 19.21 | 4 | 2 | 6 | 12 | 57 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 34.38% | 32 | 0 | 0 | 0 | 0 | 0.76 | 1 | 1 | 0 | 0 | 0 | 2 | 2 | 0 |
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 | 20 | 8 | 6 | 14 | 0 | 6 | 0 | 19 | 23 | 37 | 10 | 21 | 21.62% | 1 | 280 | 14.03 | 1 | 4 | 5 | 6 | 24 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 51.54% | 324 | 0 | 0 | 0 | 0 | 1.00 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 |
8 | David Pastrnak | Columbus Blue Jackets | LW/RW | 20 | 6 | 5 | 11 | -8 | 6 | 0 | 40 | 27 | 83 | 29 | 53 | 7.23% | 2 | 384 | 19.24 | 3 | 0 | 3 | 15 | 53 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 26.19% | 42 | 0 | 0 | 0 | 0 | 0.57 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 |
9 | Juraj Slafkovsky | Columbus Blue Jackets | LW/RW | 22 | 5 | 6 | 11 | 9 | 20 | 0 | 44 | 11 | 36 | 10 | 26 | 13.89% | 0 | 428 | 19.48 | 3 | 1 | 4 | 8 | 51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53.13% | 32 | 0 | 0 | 0 | 0 | 0.51 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 |
10 | Ryan Suter | Columbus Blue Jackets | D | 22 | 2 | 5 | 7 | -4 | 10 | 0 | 22 | 14 | 20 | 4 | 10 | 10.00% | 32 | 381 | 17.36 | 0 | 3 | 3 | 10 | 56 | 0 | 0 | 0 | 0 | 26 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
11 | Alex Iafallo | Columbus Blue Jackets | C/LW | 22 | 2 | 4 | 6 | -1 | 8 | 0 | 11 | 21 | 31 | 12 | 35 | 6.45% | 4 | 324 | 14.77 | 0 | 1 | 1 | 0 | 4 | 0 | 1 | 1 | 1 | 92 | 0 | 0 | 46.51% | 86 | 0 | 0 | 0 | 0 | 0.37 | 2 | 2 | 0 | 0 | 0 | 0 | 1 | 0 |
12 | Jake Sanderson | Columbus Blue Jackets | D | 22 | 1 | 5 | 6 | 0 | 2 | 0 | 7 | 19 | 13 | 3 | 12 | 7.69% | 25 | 435 | 19.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 83 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
13 | Pavel Mintyukov | Columbus Blue Jackets | D | 18 | 0 | 5 | 5 | -1 | 6 | 0 | 16 | 8 | 7 | 3 | 6 | 0% | 13 | 275 | 15.30 | 0 | 3 | 3 | 5 | 50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Andrew Cogliano | Columbus Blue Jackets | C/LW/RW | 20 | 1 | 3 | 4 | 0 | 4 | 0 | 8 | 23 | 14 | 11 | 16 | 7.14% | 7 | 226 | 11.33 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 1 | 78 | 0 | 0 | 46.80% | 203 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Jake Walman | Columbus Blue Jackets | D | 22 | 1 | 3 | 4 | 3 | 20 | 0 | 33 | 22 | 10 | 6 | 14 | 10.00% | 29 | 450 | 20.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64 | 0 | 1 | 0% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Cole Smith | Columbus Blue Jackets | LW/RW | 22 | 1 | 3 | 4 | 3 | 38 | 10 | 37 | 12 | 25 | 4 | 14 | 4.00% | 5 | 216 | 9.84 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 46 | 0 | 0 | 33.33% | 12 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 |
17 | Cole Sillinger | Columbus Blue Jackets | C | 22 | 1 | 2 | 3 | -1 | 2 | 0 | 12 | 19 | 22 | 4 | 13 | 4.55% | 1 | 222 | 10.13 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 34 | 0 | 0 | 48.11% | 264 | 0 | 0 | 0 | 0 | 0.27 | 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 | 22 | 0 | 1 | 1 | 2 | 4 | 0 | 4 | 9 | 10 | 4 | 7 | 0% | 1 | 146 | 6.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 29 | 0 | 0 | 36.84% | 19 | 0 | 0 | 0 | 0 | 0.14 | 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 | 11 | 0 | 0 | 0 | -6 | 2 | 0 | 7 | 4 | 12 | 1 | 3 | 0% | 0 | 155 | 14.18 | 0 | 0 | 0 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 15 | 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 |
Team Total or Average | 397 | 73 | 124 | 197 | -16 | 204 | 10 | 423 | 401 | 649 | 189 | 471 | 11.25% | 183 | 6506 | 16.39 | 21 | 39 | 60 | 136 | 557 | 1 | 2 | 3 | 9 | 621 | 10 | 4 | 49.77% | 1931 | 0 | 0 | 0 | 2 | 0.61 | 4 | 12 | 0 | 0 | 2 | 10 | 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 | Linus Ullmark | Columbus Blue Jackets | 17 | 11 | 4 | 2 | 0.911 | 2.49 | 1038 | 2 | 1 | 43 | 484 | 0 | 0 | 0 | 0.714 | 14 | 17 | 4 | 0 | 2 | 3 |
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 | 9 | 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 | 22 | 12 | 8 | 2 | 0.900 | 2.87 | 1338 | 4 | 1 | 64 | 641 | 0 | 1 | 1 | 14 | 22 | 22 | 0 | 2 | 3 |
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$ | 1,728,680$ | 2,450,000$ | 1,728,680$ | 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$ | 3,351,523$ | 4,750,000$ | 3,351,523$ | 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$ | 652,665$ | 925,000$ | 652,665$ | 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$ | 705,584$ | 1,000,000$ | 705,584$ | 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$ | 4,939,086$ | 7,000,000$ | 4,939,086$ | 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$ | 6,350,254$ | 9,000,000$ | 6,350,254$ | 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$ | 564,467$ | 800,000$ | 564,467$ | 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$ | 652,665$ | 925,000$ | 652,665$ | 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$ | 546,827$ | 775,000$ | 546,827$ | No | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | 600,000$ | 600,000$ | 600,000$ | - | - | - | - | - | - | No | No | 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$ | 2,822,335$ | 4,000,000$ | 2,822,335$ | 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$ | 599,746$ | 850,000$ | 599,746$ | 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$ | 5,503,553$ | 7,800,000$ | 5,503,553$ | 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$ | 652,665$ | 925,000$ | 652,665$ | 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$ | 529,188$ | 750,000$ | 529,188$ | 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$ | 670,305$ | 950,000$ | 670,305$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Kirby Dach | 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$ | 1,763,959$ | 2,500,000$ | 1,763,959$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 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$ | 6,350,254$ | 0$ | 0$ | Yes | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Linus Ullmark | Columbus Blue Jackets | G | 31 | 1993-07-31 | SWE | No | 213 Lbs | 6 ft4 | No | No | Trade | 2024-05-31 | No | No | 1 | False | False | Pro & Farm | 3,500,000$ | 2,469,543$ | 3,500,000$ | 2,469,543$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | 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$ | 1,940,355$ | 2,750,000$ | 1,940,355$ | 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$ | 587,398$ | 832,500$ | 587,398$ | 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$ | 670,305$ | 950,000$ | 670,305$ | 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$ | 1,411,168$ | 2,000,000$ | 1,411,168$ | 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 | 27.41 | 202 Lbs | 6 ft2 | 2.00 | 2,928,750$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
64,432,500$ | 39,332,500$ | 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 | Kirby Dach | 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 | Kirby Dach | 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 : Linus Ullmark, #2 : Dennis Hildeby |
Custom OT Lines Forwards |
---|
David Pastrnak, Elias Pettersson, Anze Kopitar, Alex Tuch, Kirby Dach, 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 24 | 17 | 22 | 7 | 13 | 6 |
6 | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 28 | 20 | 19 | 7 | 12 | 6 |
7 | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 29 | 21 | 19 | 5 | 10 | 5 |
8 | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 24 | 16 | 24 | 7 | 11 | 5 |
9 | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 21 | 15 | 24 | 7 | 13 | 6 |
10 | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 49 | 34 | 47 | 14 | 26 | 13 |
11 | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 50 | 34 | 44 | 13 | 25 | 11 |
12 | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 23 | 16 | 24 | 6 | 11 | 5 |
13 | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 22 | 15 | 24 | 6 | 12 | 5 |
14 | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 23 | 15 | 22 | 7 | 13 | 6 |
15 | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 25 | 18 | 22 | 6 | 12 | 5 |
16 | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 26 | 18 | 20 | 7 | 13 | 6 |
17 | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 30 | 22 | 18 | 6 | 10 | 6 |
18 | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 25 | 17 | 26 | 8 | 12 | 6 |
19 | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 25 | 17 | 26 | 8 | 13 | 7 |
20 | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 25 | 18 | 27 | 8 | 12 | 5 |
Total | 22 | 9 | 8 | 0 | 1 | 1 | 2 | 1 | 71 | 66 | 5 | 12 | 6 | 3 | 0 | 1 | 0 | 1 | 1 | 41 | 31 | 10 | 10 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 30 | 35 | -5 | 26 | 0.591 | 71 | 124 | 195 | 1 | 1 | 22 | 24 | 22 | 5 | 649 | 216 | 219 | 208 | 19 | 642 | 184 | 206 | 429 | 73 | 21 | 28.77% | 87 | 14 | 83.91% | 1 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 551 | 387 | 511 | 159 | 277 | 138 | |
_Since Last GM Reset | 22 | 9 | 8 | 0 | 1 | 1 | 2 | 1 | 71 | 66 | 5 | 12 | 6 | 3 | 0 | 1 | 0 | 1 | 1 | 41 | 31 | 10 | 10 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 30 | 35 | -5 | 26 | 0.591 | 71 | 124 | 195 | 1 | 1 | 22 | 24 | 22 | 5 | 649 | 216 | 219 | 208 | 19 | 642 | 184 | 206 | 429 | 73 | 21 | 28.77% | 87 | 14 | 83.91% | 1 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 551 | 387 | 511 | 159 | 277 | 138 | |
_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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 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 | 391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% | 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 |
22 | 26 | W1 | 71 | 124 | 195 | 649 | 642 | 184 | 206 | 429 | 1 | 1 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
22 | 9 | 8 | 1 | 1 | 2 | 1 | 71 | 66 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
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 |
10 | 3 | 5 | 0 | 1 | 1 | 0 | 30 | 35 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
5 | 5 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
73 | 21 | 28.77% | 87 | 14 | 83.91% | 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 |
---|---|---|---|---|---|---|---|
216 | 219 | 208 | 19 | 22 | 24 | 22 | 5 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
391 | 760 | 51.45% | 388 | 770 | 50.39% | 164 | 344 | 47.67% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
551 | 387 | 511 | 159 | 277 | 138 |
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 |
19,189,508$ | 64,432,500$ | 60,357,500$ | 4,200,000$0$ | 4,500,000$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
281,383$ | 17,135,715$ | 0$ | 21 | 1 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
51,584,973$ | 139 | 348,388$ | 48,425,932$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
49,105,932$ | 133,048,278$ | 137,773,261$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
60,747,952$ | 22,752,048$ | 83,500,000$ | -952,048$ |
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 | STL | DET | CBJ | 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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