LeHigh Valley Phantoms | |
GP: 27 | W: 8 | L: 19 | OTL: 0 | P: 16 GF: 56 | GA: 104 | PP%: 6.52% | PK%: 74.42% GM : Jonathan Girard | Morale : 50 | Team Overall : N/A Next Games #407 vs Chicago Wolves |
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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 | Ross Johnston | X | 100.00 | 78 | 85 | 57 | 56 | 96 | 72 | 75 | 55 | 61 | 54 | 51 | 57 | 53 | 71 | 70 | 35 | 50 | 0 | 0 | 30 | 2 | 1,100,000$ | ||||
2 | Julien Gauthier | X | 100.00 | 82 | 40 | 95 | 69 | 92 | 77 | 79 | 64 | 57 | 60 | 68 | 62 | 67 | 69 | 71 | 70 | 50 | 0 | 0 | 26 | 2 | 775,000$ | ||||
3 | Oliver Wahlstrom | X | X | 100.00 | 72 | 42 | 81 | 67 | 80 | 79 | 72 | 68 | 57 | 66 | 64 | 61 | 69 | 64 | 65 | 83 | 50 | 0 | 0 | 24 | 4 | 874,125$ | |||
4 | Vitali Kravtsov (R) | X | X | 100.00 | 40 | 35 | 40 | 67 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 63 | 64 | 11 | 50 | 0 | 0 | 24 | 1 | 875,000$ | |||
5 | Nathan Smith (R) | X | 100.00 | 66 | 38 | 79 | 59 | 70 | 73 | 71 | 57 | 66 | 58 | 56 | 60 | 55 | 66 | 68 | 60 | 50 | 0 | 0 | 25 | 3 | 775,000$ | ||||
6 | Marc Michaelis | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 29 | 1 | 700,000$ | ||||
7 | Jack Drury (R) | X | 100.00 | 60 | 42 | 86 | 65 | 67 | 84 | 88 | 63 | 85 | 67 | 61 | 66 | 63 | 65 | 68 | 72 | 50 | 0 | 0 | 24 | 1 | 925,000$ | ||||
8 | Ethen Frank (R) | X | 100.00 | 60 | 36 | 92 | 63 | 69 | 92 | 83 | 64 | 61 | 59 | 65 | 58 | 63 | 66 | 68 | 42 | 50 | 0 | 0 | 26 | 2 | 775,000$ | ||||
9 | Matt Irwin | X | 100.00 | 76 | 53 | 83 | 62 | 80 | 78 | 84 | 57 | 30 | 60 | 56 | 68 | 48 | 78 | 79 | 20 | 50 | 0 | 0 | 36 | 1 | 750,000$ | ||||
10 | Robbie Russo | X | 100.00 | 64 | 39 | 84 | 62 | 73 | 72 | 86 | 57 | 30 | 61 | 53 | 56 | 47 | 71 | 73 | 49 | 50 | 0 | 0 | 31 | 1 | 1,000,000$ | ||||
11 | Kurtis MacDermid | X | 100.00 | 77 | 89 | 64 | 59 | 96 | 69 | 76 | 58 | 63 | 55 | 57 | 64 | 56 | 71 | 73 | 35 | 50 | 0 | 0 | 30 | 1 | 975,000$ | ||||
12 | Donovan Sebrango (R) | X | 100.00 | 66 | 44 | 69 | 54 | 75 | 62 | 73 | 53 | 30 | 55 | 52 | 56 | 45 | 62 | 64 | 68 | 50 | 0 | 0 | 22 | 2 | 867,500$ | ||||
13 | Egor Zamula (R) | X | 100.00 | 72 | 39 | 88 | 67 | 83 | 82 | 83 | 66 | 30 | 72 | 61 | 63 | 53 | 64 | 66 | 43 | 48 | 0 | 0 | 24 | 1 | 750,000$ | ||||
14 | Brandon Scanlin (R) | X | 100.00 | 77 | 41 | 82 | 59 | 90 | 75 | 83 | 58 | 30 | 57 | 56 | 60 | 49 | 65 | 67 | 42 | 50 | 0 | 0 | 25 | 3 | 775,000$ | ||||
15 | Justin Barron (R) | X | 100.00 | 72 | 38 | 89 | 69 | 81 | 86 | 87 | 67 | 30 | 70 | 68 | 64 | 55 | 63 | 64 | 81 | 50 | 0 | 0 | 22 | 2 | 925,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Joseph Duszak (R) | X | 100.00 | 56 | 40 | 70 | 62 | 65 | 71 | 70 | 58 | 30 | 65 | 56 | 55 | 49 | 67 | 69 | 37 | 50 | 0 | 0 | 27 | 2 | 750,000$ | ||||
2 | Filip Johansson (R) | X | 100.00 | 64 | 37 | 95 | 59 | 73 | 71 | 69 | 58 | 30 | 57 | 54 | 53 | 46 | 64 | 66 | 79 | 50 | 0 | 0 | 24 | 2 | 925,000$ | ||||
TEAM AVERAGE | 100.00 | 66 | 45 | 76 | 61 | 74 | 77 | 80 | 58 | 43 | 59 | 56 | 58 | 52 | 64 | 66 | 49 | 50 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | |||||||||||||||||||||||
1 | Clay Stevenson (R) | 100.00 | 62 | 95 | 73 | 85 | 63 | 62 | 63 | 62 | 63 | 53 | 78 | 65 | 73 | 42 | 50 | 0 | 0 | 25 | 4 | 867,500$ | |
2 | Jakub Dobes (R) | 100.00 | 59 | 95 | 76 | 87 | 60 | 60 | 61 | 60 | 61 | 50 | 76 | 63 | 70 | 56 | 50 | 0 | 0 | 23 | 2 | 925,000$ | |
TEAM AVERAGE | 100.00 | 61 | 95 | 75 | 86 | 62 | 61 | 62 | 61 | 62 | 52 | 77 | 64 | 72 | 49 | 50 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | 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 | Robbie Russo | LeHigh Valley Phantoms (PHI) | D | 27 | 8 | 6 | 14 | -9 | 32 | 0 | 102 | 29 | 34 | 11 | 24 | 23.53% | 36 | 424 | 15.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.66 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
2 | Joseph Duszak | LeHigh Valley Phantoms (PHI) | D | 22 | 2 | 3 | 5 | -7 | 8 | 0 | 51 | 23 | 17 | 6 | 8 | 11.76% | 18 | 243 | 11.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 49 | 10 | 9 | 19 | -16 | 40 | 0 | 153 | 52 | 51 | 17 | 32 | 19.61% | 54 | 668 | 13.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 1 | 2 | 0 | 0 | 0 | 1 | 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 |
# | 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 |
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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 | 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 |
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Brandon Scanlin | LeHigh Valley Phantoms (PHI) | D | 25 | 1999-06-02 | CAN | Yes | 218 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 3 | 2024-08-20 | False | False | Pro & Farm | 775,000$ | 539,304$ | 0$ | 0$ | No | 775,000$ | 775,000$ | - | - | - | - | - | - | - | 600,000$ | 600,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
Clay Stevenson | LeHigh Valley Phantoms (PHI) | G | 25 | 1999-03-03 | CAN | Yes | 195 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 4 | 2024-08-20 | False | False | Pro & Farm | 867,500$ | 603,673$ | 0$ | 0$ | No | 867,500$ | 867,500$ | 867,500$ | - | - | - | - | - | - | 600,000$ | 600,000$ | 600,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | |
Donovan Sebrango | LeHigh Valley Phantoms (PHI) | D | 22 | 2002-01-12 | CAN | Yes | 189 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 2 | 2024-08-20 | False | False | Pro & Farm | 867,500$ | 603,673$ | 0$ | 0$ | No | 867,500$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Egor Zamula | LeHigh Valley Phantoms (PHI) | D | 24 | 2000-03-30 | RUS | Yes | 200 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 521,907$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Ethen Frank | LeHigh Valley Phantoms (PHI) | C | 26 | 1998-02-05 | USA | Yes | 185 Lbs | 5 ft11 | No | No | Assign Manually | No | No | 2 | 2024-08-20 | False | False | Pro & Farm | 775,000$ | 539,304$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Filip Johansson | LeHigh Valley Phantoms (PHI) | D | 24 | 2000-03-23 | SWE | Yes | 176 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 2 | 2024-08-20 | False | False | Pro & Farm | 925,000$ | 643,686$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Jack Drury | LeHigh Valley Phantoms (PHI) | C | 24 | 2000-02-03 | USA | Yes | 174 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 643,686$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Jakub Dobes | LeHigh Valley Phantoms (PHI) | G | 23 | 2001-05-27 | CZE | Yes | 205 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 2 | 2024-08-20 | False | False | Pro & Farm | 925,000$ | 643,686$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Joseph Duszak | LeHigh Valley Phantoms (PHI) | D | 27 | 1997-07-22 | USA | Yes | 176 Lbs | 5 ft9 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 521,907$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | 702,020$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Julien Gauthier | LeHigh Valley Phantoms (PHI) | RW | 26 | 1997-10-15 | CAN | No | 226 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 775,000$ | 539,304$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Justin Barron | LeHigh Valley Phantoms (PHI) | D | 22 | 2001-11-15 | CAN | Yes | 202 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 2 | 2024-08-20 | False | False | Pro & Farm | 925,000$ | 643,686$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Kurtis MacDermid | LeHigh Valley Phantoms (PHI) | D | 30 | 1994-03-25 | CAN | No | 233 Lbs | 6 ft5 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 975,000$ | 678,479$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Marc Michaelis | LeHigh Valley Phantoms (PHI) | LW | 29 | 1995-07-31 | DEU | No | 187 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 487,113$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Matt Irwin | LeHigh Valley Phantoms (PHI) | D | 36 | 1987-11-29 | CAN | No | 200 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 521,907$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Nathan Smith | LeHigh Valley Phantoms (PHI) | C | 25 | 1998-10-19 | USA | Yes | 177 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 3 | 2024-08-20 | False | False | Pro & Farm | 775,000$ | 539,304$ | 0$ | 0$ | No | 775,000$ | 775,000$ | - | - | - | - | - | - | - | 600,000$ | 600,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
Oliver Wahlstrom | LeHigh Valley Phantoms (PHI) | LW/RW | 24 | 2000-06-13 | USA | No | 200 Lbs | 6 ft2 | No | No | N/A | No | No | 4 | 2024-05-19 | False | False | Pro & Farm | 874,125$ | 608,283$ | 0$ | 0$ | No | 874,125$ | 874,125$ | 874,125$ | - | - | - | - | - | - | 874,125$ | 874,125$ | 874,125$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | |
Robbie Russo | LeHigh Valley Phantoms (PHI) | D | 31 | 1993-02-15 | USA | No | 191 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,000,000$ | 695,876$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Ross Johnston | LeHigh Valley Phantoms (PHI) | LW | 30 | 1994-02-18 | CAN | No | 234 Lbs | 6 ft5 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,100,000$ | 765,464$ | 0$ | 0$ | No | 1,100,000$ | - | - | - | - | - | - | - | - | 1,100,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Vitali Kravtsov | LeHigh Valley Phantoms (PHI) | LW/RW | 24 | 1999-12-23 | RUS | Yes | 186 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 875,000$ | 608,892$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
19 | 26.16 | 198 Lbs | 6 ft2 | 1.95 | 858,375$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 38 | 1 | 2 | 2 | |||
2 | Robbie Russo | 30 | 1 | 2 | 2 | ||
3 | 22 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | Robbie Russo | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Robbie Russo | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | Robbie Russo | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Robbie Russo | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , |
Penalty Shots |
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, , , , |
Goalie |
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#1 : , #2 : |
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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 | Abbotsford Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 25 | 15 | 12 | 4 | 9 | 309 | 260 | 239 | 16 | 54 | 13 | 10 | 10 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 |
2 | Bakersfield Condors | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 25 | 15 | 12 | 4 | 53 | 309 | 260 | 239 | 16 | 19 | 2 | 4 | 25 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 |
3 | Bridgeport Islanders | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 10 | 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 4 | 0.667 | 12 | 24 | 36 | 0 | 0 | 25 | 15 | 12 | 4 | 131 | 309 | 260 | 239 | 16 | 83 | 20 | 10 | 75 | 5 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 |
4 | Calgary Wranglers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 25 | 15 | 12 | 4 | 56 | 309 | 260 | 239 | 16 | 18 | 5 | 0 | 23 | 1 | 0 | 0.00% | 0 | 0 | 0% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 |
5 | Charlotte Checkers | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 25 | 15 | 12 | 4 | 71 | 309 | 260 | 239 | 16 | 61 | 13 | 8 | 71 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 |
6 | Colorado Eagles | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 25 | 15 | 12 | 4 | 18 | 309 | 260 | 239 | 16 | 53 | 11 | 6 | 26 | 2 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 |
7 | Grand Rapids Griffins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 25 | 15 | 12 | 4 | 61 | 309 | 260 | 239 | 16 | 82 | 23 | 6 | 38 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 |
8 | Hershey Bears | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 25 | 15 | 12 | 4 | 75 | 309 | 260 | 239 | 16 | 58 | 13 | 4 | 54 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 |
9 | Iowa Wild | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 11 | -9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 11 | -9 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 25 | 15 | 12 | 4 | 23 | 309 | 260 | 239 | 16 | 81 | 18 | 10 | 21 | 6 | 1 | 16.67% | 5 | 1 | 80.00% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 |
10 | Laval Rocket | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 25 | 15 | 12 | 4 | 18 | 309 | 260 | 239 | 16 | 24 | 7 | 6 | 17 | 1 | 1 | 100.00% | 3 | 1 | 66.67% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 |
11 | Providence Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 25 | 15 | 12 | 4 | 15 | 309 | 260 | 239 | 16 | 45 | 18 | 2 | 23 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 |
12 | Rockford IceHogs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 25 | 15 | 12 | 4 | 48 | 309 | 260 | 239 | 16 | 31 | 7 | 2 | 33 | 0 | 0 | 0% | 1 | 0 | 100.00% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 |
13 | San Diego Gulls | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1.000 | 6 | 12 | 18 | 0 | 0 | 25 | 15 | 12 | 4 | 78 | 309 | 260 | 239 | 16 | 59 | 23 | 2 | 40 | 3 | 0 | 0.00% | 0 | 0 | 0% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 |
14 | Springfield Thunderbirds | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 25 | 15 | 12 | 4 | 23 | 309 | 260 | 239 | 16 | 64 | 16 | 9 | 24 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 |
15 | Syracuse Crunch | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 25 | 15 | 12 | 4 | 54 | 309 | 260 | 239 | 16 | 88 | 28 | 14 | 17 | 5 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 |
16 | Toronto Marlies | 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 | 25 | 15 | 12 | 4 | 63 | 309 | 260 | 239 | 16 | 24 | 7 | 2 | 31 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 |
17 | Utica Comets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 25 | 15 | 12 | 4 | 16 | 309 | 260 | 239 | 16 | 41 | 6 | 0 | 16 | 4 | 0 | 0.00% | 0 | 0 | 0% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 |
18 | Wilkes-Barre/Scranton Penguins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 25 | 15 | 12 | 4 | 9 | 309 | 260 | 239 | 16 | 30 | 10 | 4 | 3 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 |
Total | 27 | 4 | 19 | 0 | 3 | 0 | 1 | 0 | 56 | 104 | -48 | 12 | 4 | 6 | 0 | 1 | 0 | 1 | 0 | 30 | 40 | -10 | 15 | 0 | 13 | 0 | 2 | 0 | 0 | 0 | 26 | 64 | -38 | 16 | 0.296 | 56 | 108 | 164 | 2 | 0 | 25 | 15 | 12 | 4 | 821 | 309 | 260 | 239 | 16 | 915 | 240 | 99 | 547 | 46 | 3 | 6.52% | 43 | 11 | 74.42% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 | |
_Since Last GM Reset | 27 | 4 | 19 | 0 | 3 | 0 | 1 | 0 | 56 | 104 | -48 | 12 | 4 | 6 | 0 | 1 | 0 | 1 | 0 | 30 | 40 | -10 | 15 | 0 | 13 | 0 | 2 | 0 | 0 | 0 | 26 | 64 | -38 | 16 | 0.296 | 56 | 108 | 164 | 2 | 0 | 25 | 15 | 12 | 4 | 821 | 309 | 260 | 239 | 16 | 915 | 240 | 99 | 547 | 46 | 3 | 6.52% | 43 | 11 | 74.42% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 | |
_Vs Conference | 14 | 2 | 9 | 0 | 3 | 0 | 0 | 0 | 33 | 54 | -21 | 5 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 15 | 17 | -2 | 9 | 0 | 7 | 0 | 2 | 0 | 0 | 0 | 18 | 37 | -19 | 10 | 0.357 | 33 | 64 | 97 | 0 | 0 | 25 | 15 | 12 | 4 | 452 | 309 | 260 | 239 | 16 | 454 | 122 | 50 | 307 | 24 | 1 | 4.17% | 23 | 6 | 73.91% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 | |
_Vs Division | 9 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 20 | 39 | -19 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 7 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 16 | 33 | -17 | 4 | 0.222 | 20 | 39 | 59 | 0 | 0 | 25 | 15 | 12 | 4 | 282 | 309 | 260 | 239 | 16 | 324 | 96 | 38 | 197 | 13 | 1 | 7.69% | 17 | 5 | 70.59% | 0 | 281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% | 609 | 451 | 729 | 170 | 295 | 142 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
27 | 16 | W1 | 56 | 108 | 164 | 821 | 915 | 240 | 99 | 547 | 2 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
27 | 4 | 19 | 3 | 0 | 1 | 0 | 56 | 104 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
12 | 4 | 6 | 1 | 0 | 1 | 0 | 30 | 40 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
15 | 0 | 13 | 2 | 0 | 0 | 0 | 26 | 64 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
2 | 7 | 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 |
---|---|---|---|---|---|---|
46 | 3 | 6.52% | 43 | 11 | 74.42% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
309 | 260 | 239 | 16 | 25 | 15 | 12 | 4 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
281 | 665 | 42.26% | 244 | 633 | 38.55% | 179 | 418 | 42.82% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
609 | 451 | 729 | 170 | 295 | 142 |
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 | |
Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 22,825 | 11,476 |
Attendance PCT | 95.10% | 95.63% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
24 | 2858 - 95.28% | 95,483$ | 1,145,797$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
517,349$ | 1,630,912$ | 1,325,114$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
8,407$ | 517,349$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
2,291,594$ | 135 | 8,407$ | 1,134,945$ |
# | 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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