![]() | Chicago Wolves |
| GP: 34 | W: 11 | L: 16 | OTL: 7 | P: 29 GF: 151 | GA: 159 | PP%: 28.21% | PK%: 65.59% GM : Jason Pelletier | Morale : 50 | Team Overall : 61 Next Games #556 vs Calgary Wranglers |
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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 | Jansen Harkins | X | X | X | 100.00 | 81 | 45 | 84 | 73 | 80 | 80 | 82 | 68 | 66 | 64 | 62 | 70 | 68 | 73 | 63 | 0 | 50 | 70 | 0 | 28 | 1 | 787,500$ | ||
| 2 | Colin White | X | X | X | 100.00 | 62 | 42 | 74 | 66 | 69 | 73 | 72 | 64 | 60 | 60 | 58 | 59 | 62 | 80 | 58 | 0 | 50 | 63 | 0 | 28 | 1 | 775,000$ | ||
| 3 | Nolan Foote | X | X | 100.00 | 59 | 42 | 71 | 66 | 71 | 70 | 64 | 65 | 43 | 61 | 60 | 57 | 64 | 64 | 52 | 0 | 50 | 62 | 0 | 25 | 1 | 775,000$ | |||
| 4 | Clark Bishop | X | 100.00 | 59 | 45 | 66 | 65 | 63 | 70 | 69 | 63 | 61 | 59 | 58 | 59 | 62 | 59 | 54 | 0 | 50 | 61 | 0 | 29 | 1 | 775,000$ | ||||
| 5 | Jordan Dumais | X | 100.00 | 57 | 40 | 67 | 62 | 58 | 59 | 57 | 57 | 41 | 55 | 54 | 55 | 58 | 50 | 50 | 0 | 50 | 57 | 0 | 21 | 2 | 860,000$ | ||||
| 6 | Calen Addison | X | 100.00 | 58 | 45 | 65 | 70 | 66 | 74 | 72 | 69 | 40 | 69 | 58 | 60 | 66 | 65 | 52 | 0 | 50 | 65 | 0 | 25 | 1 | 775,000$ | ||||
| 7 | Ville Ottavainen | X | 100.00 | 68 | 43 | 67 | 63 | 71 | 64 | 62 | 64 | 40 | 59 | 56 | 67 | 61 | 50 | 50 | 0 | 50 | 63 | 0 | 23 | 1 | 867,500$ | ||||
| 8 | Colton White | X | 100.00 | 57 | 43 | 68 | 65 | 64 | 71 | 69 | 62 | 40 | 59 | 55 | 63 | 61 | 70 | 52 | 0 | 50 | 62 | 0 | 28 | 1 | 775,000$ | ||||
| 9 | Leo Loof | X | 100.00 | 59 | 45 | 64 | 65 | 63 | 64 | 63 | 59 | 40 | 59 | 51 | 64 | 58 | 51 | 50 | 0 | 50 | 61 | 0 | 23 | 1 | 867,500$ | ||||
| 10 | Dyllan Gill | X | 100.00 | 59 | 40 | 67 | 62 | 61 | 59 | 57 | 57 | 40 | 54 | 55 | 59 | 58 | 50 | 50 | 0 | 50 | 58 | 0 | 21 | 2 | 870,000$ | ||||
| Scratches | |||||||||||||||||||||||||||||
| 1 | Aidan McDonough | X | 100.00 | 61 | 41 | 71 | 65 | 67 | 65 | 61 | 60 | 42 | 53 | 56 | 59 | 60 | 53 | 50 | 0 | 50 | 59 | 0 | 26 | 0 | 0$ | ||||
| 2 | Ole Julian Bjorgvik-Holm | X | 100.00 | 61 | 43 | 61 | 62 | 64 | 62 | 61 | 58 | 40 | 54 | 55 | 61 | 58 | 51 | 50 | 0 | 50 | 59 | 0 | 23 | 0 | 0$ | ||||
| 3 | Eamon Powell | X | 100.00 | 55 | 40 | 66 | 64 | 57 | 59 | 57 | 55 | 40 | 54 | 54 | 60 | 58 | 51 | 50 | 0 | 50 | 58 | 0 | 23 | 0 | 0$ | ||||
| TEAM AVERAGE | 100.00 | 61 | 43 | 69 | 65 | 66 | 67 | 65 | 62 | 46 | 58 | 56 | 61 | 61 | 59 | 52 | 0 | 50 | 61 | ||||||||||
| 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 | Matthew Murray | 100.00 | 74 | 67 | 72 | 64 | 71 | 72 | 74 | 72 | 73 | 73 | 63 | 55 | 50 | 0 | 50 | 65 | 0 | 27 | 2 | 775,000$ | |
| 2 | Matt Tomkins | 100.00 | 71 | 69 | 70 | 64 | 69 | 69 | 71 | 69 | 69 | 70 | 67 | 65 | 58 | 0 | 50 | 64 | 0 | 31 | 2 | 775,000$ | |
| Scratches | |||||||||||||||||||||||
| 1 | Marcus Hogberg | 100.00 | 68 | 71 | 69 | 86 | 68 | 65 | 61 | 63 | 66 | 68 | 65 | 77 | 68 | 0 | 50 | 64 | 0 | 31 | 1 | 775,000$ | |
| 2 | Mitch Gibson | 100.00 | 68 | 57 | 56 | 65 | 63 | 63 | 64 | 63 | 64 | 62 | 51 | 53 | 50 | 0 | 50 | 58 | 0 | 26 | 0 | 0$ | |
| 3 | Mack Guzda | 100.00 | 55 | 49 | 49 | 64 | 56 | 54 | 54 | 51 | 54 | 54 | 45 | 51 | 50 | 0 | 50 | 51 | 0 | 24 | 0 | 0$ | |
| TEAM AVERAGE | 100.00 | 67 | 63 | 63 | 69 | 65 | 65 | 65 | 64 | 65 | 65 | 58 | 60 | 55 | 0 | 50 | 60 | ||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Rod Brind'Amour | 1 | 1 | 1 | 1 | 1 | 1 | 1 | CAN | 54 | 5 | 1$ |
| 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 | Ville Ottavainen | Chicago Wolves (CAR) | D | 34 | 10 | 34 | 44 | -1 | 32 | 0 | 123 | 84 | 78 | 40 | 67 | 12.82% | 79 | 769 | 22.63 | 3 | 5 | 8 | 24 | 56 | 0 | 0 | 0 | 1 | 47 | 1 | 0 | 100.00% | 5 | 0 | 0 | 0 | 0 | 1.14 | 0 | 1 | 0 | 0 | 0 | 1 | 4 | 7 |
| 2 | Colton White | Chicago Wolves (CAR) | D | 34 | 9 | 34 | 43 | -5 | 24 | 0 | 80 | 69 | 80 | 34 | 64 | 11.25% | 68 | 719 | 21.17 | 4 | 4 | 8 | 27 | 58 | 0 | 0 | 0 | 0 | 59 | 1 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 1.19 | 0 | 1 | 0 | 0 | 0 | 3 | 3 | 2 |
| 3 | Jordan Dumais | Chicago Wolves (CAR) | RW | 34 | 12 | 17 | 29 | 2 | 6 | 0 | 46 | 83 | 108 | 30 | 89 | 11.11% | 10 | 540 | 15.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 32 | 1 | 0 | 41.38% | 58 | 0 | 0 | 0 | 0 | 1.07 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 2 |
| 4 | Dyllan Gill | Chicago Wolves (CAR) | D | 34 | 4 | 23 | 27 | 11 | 24 | 0 | 62 | 44 | 40 | 13 | 37 | 10.00% | 40 | 551 | 16.21 | 0 | 1 | 1 | 2 | 7 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.98 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 |
| 5 | Jansen Harkins | Chicago Wolves (CAR) | C/LW/RW | 16 | 9 | 17 | 26 | 9 | 14 | 0 | 42 | 71 | 99 | 25 | 79 | 9.09% | 8 | 363 | 22.71 | 0 | 2 | 2 | 13 | 22 | 0 | 0 | 0 | 2 | 19 | 1 | 0 | 64.14% | 555 | 0 | 0 | 0 | 0 | 1.43 | 1 | 2 | 0 | 0 | 0 | 2 | 2 | 0 |
| 6 | Clark Bishop | Chicago Wolves (CAR) | C | 15 | 14 | 6 | 20 | 2 | 8 | 0 | 40 | 50 | 83 | 23 | 59 | 16.87% | 5 | 345 | 23.06 | 1 | 1 | 2 | 7 | 20 | 0 | 0 | 0 | 1 | 21 | 1 | 0 | 56.70% | 358 | 0 | 0 | 0 | 0 | 1.16 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 0 |
| 7 | Colin White | Chicago Wolves (CAR) | C/LW/RW | 16 | 7 | 12 | 19 | 7 | 6 | 0 | 17 | 28 | 72 | 19 | 51 | 9.72% | 0 | 363 | 22.73 | 0 | 3 | 3 | 9 | 22 | 0 | 0 | 0 | 1 | 23 | 2 | 1 | 57.58% | 33 | 0 | 0 | 0 | 0 | 1.04 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 2 |
| Team Total or Average | 183 | 65 | 143 | 208 | 25 | 114 | 0 | 410 | 429 | 560 | 184 | 446 | 11.61% | 210 | 3653 | 19.97 | 8 | 16 | 24 | 82 | 186 | 0 | 0 | 0 | 6 | 221 | 7 | 1 | 60.12% | 1013 | 0 | 0 | 0 | 0 | 1.14 | 1 | 7 | 0 | 0 | 0 | 12 | 15 | 16 | |||
| 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 | Matt Tomkins | Chicago Wolves (CAR) | 11 | 6 | 3 | 2 | 0.903 | 3.48 | 673 | 0 | 0 | 39 | 403 | 0 | 0 | 2 | 0.333 | 3 | 11 | 0 | 0 | 0 | 1 |
| 2 | Marcus Hogberg | Chicago Wolves (CAR) | 6 | 1 | 3 | 2 | 0.892 | 3.92 | 367 | 0 | 1 | 24 | 222 | 0 | 0 | 1 | 0.667 | 3 | 6 | 17 | 1 | 0 | 0 |
| Team Total or Average | 17 | 7 | 6 | 4 | 0.899 | 3.64 | 1040 | 0 | 1 | 63 | 625 | 0 | 0 | 3 | 6 | 17 | 17 | 1 | 0 | 1 | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aidan McDonough | Chicago Wolves (CAR) | LW | 26 | 1999-11-06 | USA | No | 201 Lbs | 6 ft2 | No | No | Fantasy Draft | No | No | 0 | 2025-07-22 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
| Calen Addison | Chicago Wolves (CAR) | D | 25 | 2000-04-11 | CAN | No | 181 Lbs | 5 ft11 | No | No | Assign Manually | No | No | 1 | 2025-07-02 | False | False | Pro & Farm | 775,000$ | 407,203$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |
| Clark Bishop | Chicago Wolves (CAR) | C | 29 | 1996-03-29 | CAN | No | 198 Lbs | 6 ft1 | No | No | Fantasy Draft | No | No | 1 | 2025-07-02 | False | False | Pro & Farm | 775,000$ | 407,203$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |
| Colin White | Chicago Wolves (CAR) | C/LW/RW | 28 | 1997-01-30 | USA | No | 196 Lbs | 6 ft1 | No | No | Fantasy Draft | No | No | 1 | 2025-07-02 | False | False | Pro & Farm | 775,000$ | 407,203$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |
| Colton White | Chicago Wolves (CAR) | D | 28 | 1997-05-03 | CAN | No | 187 Lbs | 6 ft1 | No | No | Fantasy Draft | No | No | 1 | 2025-05-26 | False | False | Pro & Farm | 775,000$ | 407,203$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |
| Dyllan Gill | Chicago Wolves (CAR) | D | 21 | 2004-06-07 | CAN | No | 179 Lbs | 6 ft2 | No | No | Fantasy Draft | No | No | 2 | 2025-05-26 | False | False | Pro & Farm | 870,000$ | 457,119$ | 0$ | 0$ | No | 870,000$ | - | - | - | - | - | - | - | - | 870,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Eamon Powell | Chicago Wolves (CAR) | D | 23 | 2002-05-10 | USA | No | 165 Lbs | 5 ft11 | No | No | Fantasy Draft | No | No | 0 | 2025-07-22 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||
| Jansen Harkins | Chicago Wolves (CAR) | C/LW/RW | 28 | 1997-05-23 | USA | No | 199 Lbs | 6 ft1 | No | No | Fantasy Draft | No | No | 1 | 2025-05-26 | False | False | Pro & Farm | 787,500$ | 413,771$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |
| Jordan Dumais | Chicago Wolves (CAR) | RW | 21 | 2004-04-15 | CAN | No | 174 Lbs | 5 ft9 | No | No | Assign Manually | No | No | 2 | 2025-05-26 | False | False | Pro & Farm | 860,000$ | 451,864$ | 0$ | 0$ | No | 860,000$ | - | - | - | - | - | - | - | - | 860,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Leo Loof | Chicago Wolves (CAR) | D | 23 | 2002-04-25 | SWE | No | 176 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 1 | 2025-05-26 | False | False | Pro & Farm | 867,500$ | 455,805$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Mack Guzda | Chicago Wolves (CAR) | G | 24 | 2001-01-11 | USA | No | 215 Lbs | 6 ft5 | No | No | Fantasy Draft | No | No | 0 | 2025-07-22 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
| Marcus Hogberg | Chicago Wolves (CAR) | G | 31 | 1994-11-25 | SWE | No | 234 Lbs | 6 ft5 | No | No | Fantasy Draft | No | No | 1 | 2025-05-26 | False | False | Pro & Farm | 775,000$ | 407,203$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Matt Tomkins | Chicago Wolves (CAR) | G | 31 | 1994-06-19 | CAN | No | 192 Lbs | 6 ft4 | No | No | Fantasy Draft | No | No | 2 | 2025-07-02 | False | False | Pro & Farm | 775,000$ | 407,203$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | |
| Matthew Murray | Chicago Wolves (CAR) | G | 27 | 1998-02-02 | CAN | No | 194 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 2 | 2025-06-29 | False | False | Pro & Farm | 775,000$ | 407,203$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Mitch Gibson | Chicago Wolves (CAR) | G | 26 | 1999-06-25 | USA | No | 205 Lbs | 6 ft2 | No | No | Fantasy Draft | No | No | 0 | 2025-07-22 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |||
| Nolan Foote | Chicago Wolves (CAR) | LW/RW | 25 | 2000-11-29 | CAN | No | 196 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 1 | 2025-07-02 | False | False | Pro & Farm | 775,000$ | 407,203$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |
| Ole Julian Bjorgvik-Holm | Chicago Wolves (CAR) | D | 23 | 2002-05-23 | NOR | No | 198 Lbs | 6 ft4 | No | No | Fantasy Draft | No | No | 0 | 2025-07-22 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||
| Ville Ottavainen | Chicago Wolves (CAR) | D | 23 | 2002-08-12 | FIN | No | 216 Lbs | 6 ft5 | No | No | Assign Manually | No | No | 1 | 2025-05-26 | False | False | Pro & Farm | 867,500$ | 455,805$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 18 | 25.67 | 195 Lbs | 6 ft2 | 0.94 | 580,694$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 30 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | Jordan Dumais | 25 | 1 | 2 | 2 | ||
| 4 | 15 | 1 | 2 | 2 | |||
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Ville Ottavainen | 30 | 1 | 2 | 2 | ||
| 2 | Colton White | 30 | 1 | 2 | 2 | ||
| 3 | Dyllan Gill | 25 | 1 | 2 | 2 | ||
| 4 | Ville Ottavainen | 15 | 1 | 2 | 2 | ||
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 50 | 1 | 2 | 2 | |||
| 2 | 50 | 1 | 2 | 2 | |||
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | Ville Ottavainen | 50 | 1 | 2 | 2 | ||
| 2 | Colton White | 50 | 1 | 2 | 2 | ||
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 50 | 1 | 2 | 2 | ||
| 2 | 50 | 1 | 2 | 2 | ||
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Ville Ottavainen | 50 | 1 | 2 | 2 | |
| 2 | Colton White | 50 | 1 | 2 | 2 | |
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 50 | 1 | 2 | 2 | Ville Ottavainen | 50 | 1 | 2 | 2 | ||
| 2 | 50 | 1 | 2 | 2 | Colton White | 50 | 1 | 2 | 2 | ||
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 50 | 1 | 2 | 2 | ||
| 2 | 50 | 1 | 2 | 2 | ||
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | Ville Ottavainen | 50 | 1 | 2 | 2 | |
| 2 | Colton White | 50 | 1 | 2 | 2 | |
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Ville Ottavainen | ||||
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Ville Ottavainen | ||||
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Jordan Dumais, , | Jordan Dumais, | |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Dyllan Gill, Colton White, | Dyllan Gill | Colton White, |
| Penalty Shots |
|---|
| , , , , |
| Goalie |
|---|
| #1 : , #2 : |
| Custom OT Lines Forwards |
|---|
| , , , , , Jordan Dumais, , , , |
| Custom OT Lines Defensemen |
|---|
| , Ville Ottavainen, Colton White, , Dyllan Gill |
| 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | 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 | Bakersfield Condors | 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 | 10 | 15 | 0 | 0 | 55 | 51 | 42 | 4 | 44 | 430 | 408 | 450 | 25 | 30 | 9 | 8 | 15 | 5 | 2 | 40.00% | 4 | 1 | 75.00% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 |
| 2 | Belleville Senators | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 4 | 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 6 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 4 | 1.000 | 11 | 18 | 29 | 0 | 1 | 55 | 51 | 42 | 4 | 66 | 430 | 408 | 450 | 25 | 67 | 24 | 19 | 40 | 2 | 1 | 50.00% | 7 | 1 | 85.71% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 |
| 3 | Bridgeport Islanders | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 55 | 51 | 42 | 4 | 37 | 430 | 408 | 450 | 25 | 39 | 11 | 17 | 34 | 3 | 1 | 33.33% | 6 | 4 | 33.33% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 |
| 4 | Calgary Wranglers | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 55 | 51 | 42 | 4 | 46 | 430 | 408 | 450 | 25 | 30 | 7 | 2 | 17 | 9 | 1 | 11.11% | 1 | 1 | 0.00% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 |
| 5 | Cleveland Monsters | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 55 | 51 | 42 | 4 | 45 | 430 | 408 | 450 | 25 | 41 | 13 | 2 | 29 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 |
| 6 | Coachella Valley Firebirds | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 12 | 20 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 12 | -4 | 0 | 0.000 | 12 | 22 | 34 | 0 | 0 | 55 | 51 | 42 | 4 | 98 | 430 | 408 | 450 | 25 | 133 | 43 | 18 | 64 | 6 | 2 | 33.33% | 10 | 6 | 40.00% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 |
| 7 | Colorado Eagles | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 13 | 12 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 3 | 0.500 | 13 | 21 | 34 | 1 | 0 | 55 | 51 | 42 | 4 | 123 | 430 | 408 | 450 | 25 | 114 | 27 | 16 | 77 | 8 | 2 | 25.00% | 8 | 2 | 75.00% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 |
| 8 | Henderson Silver Knights | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 55 | 51 | 42 | 4 | 76 | 430 | 408 | 450 | 25 | 79 | 28 | 12 | 42 | 4 | 1 | 25.00% | 6 | 2 | 66.67% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 |
| 9 | Lehigh Valley Phantoms | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 2 | 1.000 | 8 | 15 | 23 | 0 | 0 | 55 | 51 | 42 | 4 | 60 | 430 | 408 | 450 | 25 | 46 | 15 | 2 | 20 | 4 | 2 | 50.00% | 1 | 1 | 0.00% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 |
| 10 | Manitoba Moose | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 6 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 4 | 1.000 | 11 | 20 | 31 | 0 | 0 | 55 | 51 | 42 | 4 | 71 | 430 | 408 | 450 | 25 | 65 | 17 | 6 | 46 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 |
| 11 | Milwaukee Admirals | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 9 | 12 | -3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 6 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 1 | 0.250 | 9 | 16 | 25 | 1 | 0 | 55 | 51 | 42 | 4 | 83 | 430 | 408 | 450 | 25 | 72 | 16 | 6 | 48 | 2 | 1 | 50.00% | 3 | 2 | 33.33% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 |
| 12 | Rockford IceHogs | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 14 | -5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 9 | 17 | 26 | 1 | 0 | 55 | 51 | 42 | 4 | 97 | 430 | 408 | 450 | 25 | 114 | 39 | 18 | 53 | 5 | 1 | 20.00% | 8 | 3 | 62.50% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 |
| 13 | San Diego Gulls | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 5 | 10 | 15 | 0 | 0 | 55 | 51 | 42 | 4 | 37 | 430 | 408 | 450 | 25 | 53 | 22 | 8 | 23 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 |
| 14 | San Jose Barracuda | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 13 | -2 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 13 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.500 | 11 | 22 | 33 | 0 | 0 | 55 | 51 | 42 | 4 | 91 | 430 | 408 | 450 | 25 | 63 | 24 | 14 | 60 | 4 | 1 | 25.00% | 7 | 2 | 71.43% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 |
| 15 | Texas Stars | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 20 | 19 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 11 | 10 | 1 | 5 | 0.625 | 20 | 37 | 57 | 1 | 0 | 55 | 51 | 42 | 4 | 175 | 430 | 408 | 450 | 25 | 159 | 35 | 22 | 100 | 14 | 5 | 35.71% | 9 | 2 | 77.78% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 |
| 16 | Toronto Marlies | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 55 | 51 | 42 | 4 | 21 | 430 | 408 | 450 | 25 | 36 | 8 | 10 | 25 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 |
| 17 | Tucson Roadrunners | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 21 | 13 | 8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 7 | 3 | 5 | 0.625 | 21 | 38 | 59 | 1 | 0 | 55 | 51 | 42 | 4 | 134 | 430 | 408 | 450 | 25 | 151 | 35 | 29 | 95 | 6 | 1 | 16.67% | 11 | 2 | 81.82% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 |
| Total | 34 | 8 | 16 | 0 | 3 | 4 | 0 | 3 | 151 | 159 | -8 | 17 | 4 | 7 | 0 | 1 | 3 | 0 | 2 | 79 | 79 | 0 | 17 | 4 | 9 | 0 | 2 | 1 | 0 | 1 | 72 | 80 | -8 | 29 | 0.426 | 151 | 277 | 428 | 5 | 1 | 55 | 51 | 42 | 4 | 1304 | 430 | 408 | 450 | 25 | 1292 | 373 | 209 | 788 | 78 | 22 | 28.21% | 93 | 32 | 65.59% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 | |
| _Since Last GM Reset | 34 | 8 | 16 | 0 | 3 | 4 | 0 | 3 | 151 | 159 | -8 | 17 | 4 | 7 | 0 | 1 | 3 | 0 | 2 | 79 | 79 | 0 | 17 | 4 | 9 | 0 | 2 | 1 | 0 | 1 | 72 | 80 | -8 | 29 | 0.426 | 151 | 277 | 428 | 5 | 1 | 55 | 51 | 42 | 4 | 1304 | 430 | 408 | 450 | 25 | 1292 | 373 | 209 | 788 | 78 | 22 | 28.21% | 93 | 32 | 65.59% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 | |
| _Vs Conference | 28 | 6 | 14 | 0 | 2 | 3 | 0 | 3 | 122 | 133 | -11 | 15 | 3 | 7 | 0 | 1 | 2 | 0 | 2 | 69 | 74 | -5 | 13 | 3 | 7 | 0 | 1 | 1 | 0 | 1 | 53 | 59 | -6 | 22 | 0.393 | 122 | 225 | 347 | 5 | 0 | 55 | 51 | 42 | 4 | 1075 | 430 | 408 | 450 | 25 | 1063 | 302 | 159 | 640 | 67 | 18 | 26.87% | 73 | 25 | 65.75% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 | |
| _Vs Division | 18 | 6 | 7 | 0 | 1 | 2 | 0 | 2 | 83 | 76 | 7 | 9 | 3 | 4 | 0 | 0 | 1 | 0 | 1 | 41 | 37 | 4 | 9 | 3 | 3 | 0 | 1 | 1 | 0 | 1 | 42 | 39 | 3 | 18 | 0.500 | 83 | 149 | 232 | 5 | 0 | 55 | 51 | 42 | 4 | 683 | 430 | 408 | 450 | 25 | 675 | 169 | 97 | 419 | 38 | 11 | 28.95% | 42 | 12 | 71.43% | 0 | 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% | 775 | 545 | 867 | 247 | 429 | 206 | |
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 34 | 29 | L2 | 151 | 277 | 428 | 1304 | 1292 | 373 | 209 | 788 | 5 | 1 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 34 | 8 | 16 | 3 | 4 | 0 | 3 | 151 | 159 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 17 | 4 | 7 | 1 | 3 | 0 | 2 | 79 | 79 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 17 | 4 | 9 | 2 | 1 | 0 | 1 | 72 | 80 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 2 | 6 | 0 | 1 | 0 | 1 |
| Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
|---|---|---|---|---|---|---|
| 78 | 22 | 28.21% | 93 | 32 | 65.59% | 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 |
|---|---|---|---|---|---|---|---|
| 430 | 408 | 450 | 25 | 55 | 51 | 42 | 4 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 652 | 1231 | 52.97% | 667 | 1257 | 53.06% | 343 | 634 | 54.10% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 775 | 545 | 867 | 247 | 429 | 206 |
| 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 | 6000 | 3000 |
| Ticket Price | 50 | 25 |
| Attendance | 99,224 | 48,939 |
| Attendance PCT | 97.28% | 95.96% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
| 18 | 8715 - 96.84% | 436,565$ | 7,421,610$ | 9000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
| 482,112$ | 1,045,250$ | 1,045,250$ | 1$0$ |
| Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|
| 0$ | 482,112$ | 0 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 7,858,175$ | 93 | 5,905$ | 549,165$ |
| # | 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 |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|