![]() | Tucson Roadrunners |
| GP: 21 | W: 10 | L: 10 | OTL: 1 | P: 21 GF: 85 | GA: 86 | PP%: 25.30% | PK%: 80.39% GM : Adam D-S | Morale : 50 | Team Overall : 63 Next Games #345 vs Charlotte Checkers |
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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 | Matej Blumel | X | 100.00 | 56 | 63 | 70 | 72 | 67 | 70 | 68 | 72 | 57 | 66 | 72 | 68 | 59 | 61 | 56 | 0 | 50 | 68 | 0 | 25 | 1 | 900,000$ | ||||
| 2 | Fedor Svechkov | X | 100.00 | 72 | 42 | 89 | 77 | 71 | 59 | 69 | 65 | 62 | 67 | 69 | 67 | 56 | 56 | 58 | 0 | 50 | 68 | 0 | 22 | 2 | 975,000$ | ||||
| 3 | David Gustafsson | X | 100.00 | 75 | 68 | 95 | 70 | 76 | 49 | 70 | 60 | 80 | 64 | 62 | 79 | 56 | 58 | 58 | 0 | 50 | 66 | 0 | 25 | 1 | 900,000$ | ||||
| 4 | Samuel Fagemo | X | 100.00 | 57 | 66 | 69 | 69 | 69 | 70 | 68 | 66 | 57 | 61 | 68 | 65 | 59 | 61 | 56 | 0 | 50 | 65 | 0 | 25 | 1 | 930,000$ | ||||
| 5 | Ryan Winterton | X | 100.00 | 61 | 56 | 76 | 67 | 69 | 67 | 66 | 64 | 58 | 63 | 63 | 69 | 57 | 56 | 55 | 0 | 50 | 65 | 0 | 21 | 2 | 875,000$ | ||||
| 6 | Filip Bystedt | X | 100.00 | 57 | 60 | 70 | 62 | 70 | 67 | 65 | 63 | 57 | 62 | 61 | 66 | 56 | 54 | 52 | 0 | 50 | 63 | 0 | 21 | 2 | 975,000$ | ||||
| 7 | Jack Williams (R) | X | 100.00 | 59 | 42 | 79 | 69 | 69 | 70 | 57 | 56 | 52 | 61 | 55 | 65 | 56 | 54 | 58 | 0 | 50 | 61 | 0 | 23 | 2 | 625,000$ | ||||
| 8 | Otto Stenberg (R) | X | 100.00 | 56 | 59 | 72 | 59 | 67 | 64 | 63 | 60 | 57 | 60 | 58 | 65 | 56 | 52 | 51 | 0 | 50 | 60 | 0 | 20 | 3 | 975,000$ | ||||
| 9 | Julian Lutz (R) | X | 100.00 | 56 | 56 | 71 | 58 | 71 | 66 | 64 | 59 | 57 | 59 | 57 | 64 | 56 | 54 | 52 | 0 | 50 | 60 | 0 | 21 | 3 | 925,000$ | ||||
| 10 | Gabriel Landeskog | X | X | X | 100.00 | 57 | 56 | 72 | 56 | 73 | 56 | 56 | 56 | 57 | 56 | 56 | 61 | 56 | 75 | 64 | 0 | 50 | 58 | 0 | 32 | 1 | 900,000$ | ||
| 11 | Helge Grans | X | 100.00 | 58 | 60 | 70 | 64 | 80 | 72 | 69 | 61 | 43 | 63 | 60 | 68 | 57 | 58 | 55 | 0 | 50 | 64 | 0 | 23 | 1 | 925,000$ | ||||
| 12 | Yan Kuznetsov | X | 100.00 | 57 | 57 | 69 | 62 | 80 | 72 | 69 | 61 | 42 | 61 | 58 | 70 | 56 | 57 | 54 | 0 | 50 | 64 | 0 | 23 | 1 | 750,000$ | ||||
| 13 | Ryan O'Rourke | X | 100.00 | 57 | 56 | 68 | 59 | 67 | 69 | 67 | 59 | 42 | 59 | 57 | 65 | 56 | 61 | 56 | 0 | 50 | 61 | 0 | 23 | 1 | 925,000$ | ||||
| 14 | Calle Odelius (R) | X | 100.00 | 56 | 56 | 70 | 59 | 69 | 69 | 67 | 59 | 42 | 60 | 56 | 62 | 56 | 54 | 52 | 0 | 50 | 60 | 0 | 21 | 3 | 925,000$ | ||||
| 15 | Ryan Chesley (R) | X | 100.00 | 56 | 56 | 72 | 56 | 69 | 57 | 57 | 57 | 42 | 57 | 56 | 61 | 56 | 54 | 52 | 0 | 50 | 58 | 0 | 21 | 3 | 925,000$ | ||||
| Scratches | |||||||||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 59 | 57 | 74 | 64 | 71 | 65 | 65 | 61 | 54 | 61 | 61 | 66 | 57 | 58 | 55 | 0 | 50 | 63 | ||||||||||
| 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 | Drew Commesso | 100.00 | 73 | 76 | 76 | 64 | 72 | 72 | 71 | 76 | 65 | 73 | 76 | 61 | 55 | 0 | 50 | 71 | 0 | 22 | 1 | 925,000$ | |
| 2 | Calle Clang | 100.00 | 67 | 73 | 73 | 65 | 70 | 60 | 69 | 71 | 64 | 72 | 64 | 61 | 55 | 0 | 50 | 67 | 0 | 23 | 1 | 875,000$ | |
| Scratches | |||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 70 | 75 | 75 | 65 | 71 | 66 | 70 | 74 | 65 | 73 | 70 | 61 | 55 | 0 | 50 | 69 | ||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|
| 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 | Yan Kuznetsov | Tucson Roadrunners (UTA) | D | 21 | 5 | 17 | 22 | -5 | 38 | 0 | 61 | 48 | 27 | 14 | 27 | 18.52% | 34 | 407 | 19.42 | 2 | 0 | 2 | 8 | 8 | 0 | 0 | 0 | 1 | 7 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 1.08 | 0 | 2 | 0 | 0 | 0 | 2 | 5 | 4 |
| 2 | Ryan Winterton | Tucson Roadrunners (UTA) | C | 21 | 12 | 6 | 18 | -4 | 16 | 0 | 34 | 80 | 83 | 22 | 66 | 14.46% | 2 | 362 | 17.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 55.31% | 461 | 0 | 0 | 0 | 0 | 0.99 | 0 | 2 | 0 | 0 | 0 | 6 | 0 | 3 |
| 3 | Helge Grans | Tucson Roadrunners (UTA) | D | 21 | 5 | 11 | 16 | -9 | 36 | 10 | 41 | 56 | 76 | 18 | 41 | 6.58% | 17 | 454 | 21.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 34.78% | 23 | 0 | 0 | 0 | 0 | 0.70 | 2 | 2 | 1 | 1 | 0 | 1 | 5 | 3 |
| Team Total or Average | 63 | 22 | 34 | 56 | -18 | 90 | 10 | 136 | 184 | 186 | 54 | 134 | 11.83% | 53 | 1224 | 19.44 | 2 | 0 | 2 | 8 | 8 | 0 | 0 | 0 | 1 | 8 | 1 | 0 | 54.32% | 486 | 0 | 0 | 0 | 0 | 0.91 | 2 | 6 | 1 | 1 | 0 | 9 | 10 | 10 | |||
| 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 |
|---|
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Calle Clang | Tucson Roadrunners (UTA) | G | 23 | 2002-05-20 | SWE | No | 194 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 875,000$ | 656,250$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
| Calle Odelius | Tucson Roadrunners (UTA) | D | 21 | 2004-05-30 | SWE | Yes | 192 Lbs | 6 ft0 | No | No | Trade | 2025-10-10 | No | No | 3 | 2025-07-27 | False | False | Pro & Farm | 925,000$ | 693,750$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link |
| David Gustafsson | Tucson Roadrunners (UTA) | C | 25 | 2000-04-11 | SWE | No | 195 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | 2025-08-27 | False | False | Pro & Farm | 900,000$ | 675,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Drew Commesso | Tucson Roadrunners (UTA) | G | 22 | 2002-07-19 | USA | No | 180 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 1 | 2024-11-23 | False | False | Pro & Farm | 925,000$ | 693,750$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Fedor Svechkov | Tucson Roadrunners (UTA) | C | 22 | 2003-04-05 | RUS | No | 187 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 2 | 2025-09-28 | False | False | Pro & Farm | 975,000$ | 731,250$ | 0$ | 0$ | No | 975,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Filip Bystedt | Tucson Roadrunners (UTA) | C | 21 | 2004-02-04 | SWE | No | 187 Lbs | 6 ft2 | No | No | Prospect | No | No | 2 | 2024-07-20 | False | False | Pro & Farm | 975,000$ | 731,250$ | 0$ | 0$ | No | 975,000$ | - | - | - | - | - | - | - | - | 975,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Gabriel Landeskog | Tucson Roadrunners (UTA) | C/LW/RW | 32 | 1992-11-23 | SWE | No | 216 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | 2025-04-02 | False | False | Pro & Farm | 900,000$ | 675,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Helge Grans | Tucson Roadrunners (UTA) | D | 23 | 2002-05-10 | SWE | No | 204 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 693,750$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
| Jack Williams | Tucson Roadrunners (UTA) | RW | 23 | 2002-03-02 | USA | Yes | 184 Lbs | 5 ft10 | No | No | Draft | No | No | 2 | 2025-07-05 | False | False | Pro & Farm | 625,000$ | 468,750$ | 0$ | 0$ | No | 625,000$ | - | - | - | - | - | - | - | - | 625,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Julian Lutz | Tucson Roadrunners (UTA) | C | 21 | 2004-02-29 | GER | Yes | 194 Lbs | 6 ft2 | No | No | Prospect | No | No | 3 | 2025-07-05 | False | False | Pro & Farm | 925,000$ | 693,750$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
| Matej Blumel | Tucson Roadrunners (UTA) | C | 25 | 2000-05-31 | CZE | No | 195 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | 2025-08-27 | False | False | Pro & Farm | 900,000$ | 675,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Otto Stenberg | Tucson Roadrunners (UTA) | C | 20 | 2005-05-29 | SWE | Yes | 187 Lbs | 6 ft0 | No | No | Prospect | No | No | 3 | 2025-07-05 | False | False | Pro & Farm | 975,000$ | 731,250$ | 0$ | 0$ | No | 975,000$ | 975,000$ | - | - | - | - | - | - | - | 975,000$ | 975,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
| Ryan Chesley | Tucson Roadrunners (UTA) | D | 21 | 2004-02-27 | USA | Yes | 194 Lbs | 6 ft0 | No | No | Prospect | No | No | 3 | 2025-07-05 | False | False | Pro & Farm | 925,000$ | 693,750$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
| Ryan O'Rourke | Tucson Roadrunners (UTA) | D | 23 | 2002-05-16 | CAN | No | 192 Lbs | 6 ft1 | No | No | Prospect | No | No | 1 | 2024-07-20 | False | False | Pro & Farm | 925,000$ | 693,750$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Ryan Winterton | Tucson Roadrunners (UTA) | C | 21 | 2003-09-04 | CAN | No | 173 Lbs | 6 ft2 | No | No | Prospect | No | No | 2 | 2024-07-20 | False | False | Pro & Farm | 875,000$ | 656,250$ | 0$ | 0$ | No | 875,000$ | - | - | - | - | - | - | - | - | 875,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Samuel Fagemo | Tucson Roadrunners (UTA) | LW | 25 | 2000-03-14 | SWE | No | 201 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | 2024-08-11 | False | False | Pro & Farm | 930,000$ | 697,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Yan Kuznetsov | Tucson Roadrunners (UTA) | D | 23 | 2002-03-09 | RUS | No | 220 Lbs | 6 ft5 | No | No | N/A | No | No | 1 | 2024-08-11 | False | False | Pro & Farm | 750,000$ | 562,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 17 | 23.00 | 194 Lbs | 6 ft1 | 1.71 | 895,882$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 35 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 25 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 35 | 1 | 2 | 2 | |||
| 2 | Yan Kuznetsov | 30 | 1 | 2 | 2 | ||
| 3 | Helge Grans | 25 | 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 | Yan Kuznetsov | 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 | Yan Kuznetsov | 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 | Yan Kuznetsov | 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 | Yan Kuznetsov | 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 |
| Ryan Winterton, , | Ryan Winterton, | |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| Helge Grans, , | Helge Grans | , |
| Penalty Shots |
|---|
| , , , , |
| Goalie |
|---|
| #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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | 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 | Bobcaygeon Bullets | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 32 | 32 | 19 | 3 | 70 | 252 | 273 | 285 | 14 | 84 | 30 | 18 | 41 | 6 | 1 | 16.67% | 6 | 2 | 66.67% | 0 | 378 | 776 | 48.71% | 402 | 836 | 48.09% | 180 | 355 | 50.70% | 491 | 349 | 536 | 148 | 246 | 118 |
| 2 | Charlotte Checkers | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 0 | 0.000 | 7 | 14 | 21 | 0 | 0 | 32 | 32 | 19 | 3 | 67 | 252 | 273 | 285 | 14 | 77 | 19 | 18 | 51 | 7 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 378 | 776 | 48.71% | 402 | 836 | 48.09% | 180 | 355 | 50.70% | 491 | 349 | 536 | 148 | 246 | 118 |
| 3 | Grand Rapids Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 32 | 32 | 19 | 3 | 52 | 252 | 273 | 285 | 14 | 44 | 9 | 6 | 26 | 7 | 1 | 14.29% | 2 | 0 | 100.00% | 0 | 378 | 776 | 48.71% | 402 | 836 | 48.09% | 180 | 355 | 50.70% | 491 | 349 | 536 | 148 | 246 | 118 |
| 4 | Hamilton Bulldogs | 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 | 4 | 7 | 1 | 0 | 32 | 32 | 19 | 3 | 37 | 252 | 273 | 285 | 14 | 46 | 13 | 23 | 34 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 378 | 776 | 48.71% | 402 | 836 | 48.09% | 180 | 355 | 50.70% | 491 | 349 | 536 | 148 | 246 | 118 |
| 5 | Kimberley Dynamiters | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 32 | 32 | 19 | 3 | 87 | 252 | 273 | 285 | 14 | 84 | 28 | 24 | 39 | 11 | 4 | 36.36% | 12 | 2 | 83.33% | 0 | 378 | 776 | 48.71% | 402 | 836 | 48.09% | 180 | 355 | 50.70% | 491 | 349 | 536 | 148 | 246 | 118 |
| 6 | Ontario Reign | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 32 | 32 | 19 | 3 | 38 | 252 | 273 | 285 | 14 | 35 | 6 | 14 | 21 | 1 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 378 | 776 | 48.71% | 402 | 836 | 48.09% | 180 | 355 | 50.70% | 491 | 349 | 536 | 148 | 246 | 118 |
| 7 | Palm Springs Navigators | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 6 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 32 | 32 | 19 | 3 | 76 | 252 | 273 | 285 | 14 | 97 | 17 | 26 | 64 | 7 | 3 | 42.86% | 12 | 1 | 91.67% | 0 | 378 | 776 | 48.71% | 402 | 836 | 48.09% | 180 | 355 | 50.70% | 491 | 349 | 536 | 148 | 246 | 118 |
| 8 | Prince George Cougars | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 32 | 32 | 19 | 3 | 38 | 252 | 273 | 285 | 14 | 45 | 9 | 6 | 32 | 7 | 3 | 42.86% | 3 | 1 | 66.67% | 0 | 378 | 776 | 48.71% | 402 | 836 | 48.09% | 180 | 355 | 50.70% | 491 | 349 | 536 | 148 | 246 | 118 |
| 9 | San Diego Gulls | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 32 | 32 | 19 | 3 | 29 | 252 | 273 | 285 | 14 | 34 | 8 | 10 | 24 | 1 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 378 | 776 | 48.71% | 402 | 836 | 48.09% | 180 | 355 | 50.70% | 491 | 349 | 536 | 148 | 246 | 118 |
| 10 | Stouffville Clippers | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 32 | 32 | 19 | 3 | 41 | 252 | 273 | 285 | 14 | 52 | 21 | 12 | 34 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 378 | 776 | 48.71% | 402 | 836 | 48.09% | 180 | 355 | 50.70% | 491 | 349 | 536 | 148 | 246 | 118 |
| 11 | Syracuse Crunch | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 9 | 4 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 9 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 1.000 | 13 | 25 | 38 | 0 | 0 | 32 | 32 | 19 | 3 | 142 | 252 | 273 | 285 | 14 | 124 | 31 | 42 | 70 | 12 | 3 | 25.00% | 19 | 4 | 78.95% | 1 | 378 | 776 | 48.71% | 402 | 836 | 48.09% | 180 | 355 | 50.70% | 491 | 349 | 536 | 148 | 246 | 118 |
| 12 | Vancouver Millionaires | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 32 | 32 | 19 | 3 | 68 | 252 | 273 | 285 | 14 | 71 | 11 | 16 | 45 | 8 | 1 | 12.50% | 8 | 2 | 75.00% | 0 | 378 | 776 | 48.71% | 402 | 836 | 48.09% | 180 | 355 | 50.70% | 491 | 349 | 536 | 148 | 246 | 118 |
| 13 | Victoria Grizzlies | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 10 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 0.500 | 12 | 21 | 33 | 0 | 0 | 32 | 32 | 19 | 3 | 72 | 252 | 273 | 285 | 14 | 84 | 29 | 25 | 45 | 10 | 4 | 40.00% | 10 | 2 | 80.00% | 1 | 378 | 776 | 48.71% | 402 | 836 | 48.09% | 180 | 355 | 50.70% | 491 | 349 | 536 | 148 | 246 | 118 |
| Total | 21 | 8 | 10 | 0 | 1 | 0 | 1 | 1 | 85 | 86 | -1 | 10 | 5 | 4 | 0 | 1 | 0 | 0 | 0 | 40 | 36 | 4 | 11 | 3 | 6 | 0 | 0 | 0 | 1 | 1 | 45 | 50 | -5 | 21 | 0.500 | 85 | 157 | 242 | 1 | 0 | 32 | 32 | 19 | 3 | 817 | 252 | 273 | 285 | 14 | 877 | 231 | 240 | 526 | 83 | 21 | 25.30% | 102 | 20 | 80.39% | 2 | 378 | 776 | 48.71% | 402 | 836 | 48.09% | 180 | 355 | 50.70% | 491 | 349 | 536 | 148 | 246 | 118 | |
| _Since Last GM Reset | 21 | 8 | 10 | 0 | 1 | 0 | 1 | 1 | 85 | 86 | -1 | 10 | 5 | 4 | 0 | 1 | 0 | 0 | 0 | 40 | 36 | 4 | 11 | 3 | 6 | 0 | 0 | 0 | 1 | 1 | 45 | 50 | -5 | 21 | 0.500 | 85 | 157 | 242 | 1 | 0 | 32 | 32 | 19 | 3 | 817 | 252 | 273 | 285 | 14 | 877 | 231 | 240 | 526 | 83 | 21 | 25.30% | 102 | 20 | 80.39% | 2 | 378 | 776 | 48.71% | 402 | 836 | 48.09% | 180 | 355 | 50.70% | 491 | 349 | 536 | 148 | 246 | 118 | |
| _Vs Conference | 11 | 5 | 5 | 0 | 0 | 0 | 1 | 0 | 47 | 43 | 4 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 21 | 21 | 0 | 6 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 26 | 22 | 4 | 12 | 0.545 | 47 | 84 | 131 | 0 | 0 | 32 | 32 | 19 | 3 | 408 | 252 | 273 | 285 | 14 | 450 | 108 | 121 | 270 | 45 | 15 | 33.33% | 56 | 11 | 80.36% | 1 | 378 | 776 | 48.71% | 402 | 836 | 48.09% | 180 | 355 | 50.70% | 491 | 349 | 536 | 148 | 246 | 118 | |
| _Vs Division | 6 | 5 | 5 | 0 | 0 | 0 | 1 | 0 | 22 | 21 | 1 | 3 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 3 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 12 | 10 | 2 | 12 | 1.000 | 22 | 40 | 62 | 0 | 0 | 32 | 32 | 19 | 3 | 211 | 252 | 273 | 285 | 14 | 237 | 42 | 66 | 154 | 17 | 4 | 23.53% | 31 | 6 | 80.65% | 0 | 378 | 776 | 48.71% | 402 | 836 | 48.09% | 180 | 355 | 50.70% | 491 | 349 | 536 | 148 | 246 | 118 | |
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 21 | 21 | L2 | 85 | 157 | 242 | 817 | 877 | 231 | 240 | 526 | 1 | 0 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 21 | 8 | 10 | 1 | 0 | 1 | 1 | 85 | 86 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 10 | 5 | 4 | 1 | 0 | 0 | 0 | 40 | 36 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 11 | 3 | 6 | 0 | 0 | 1 | 1 | 45 | 50 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 4 | 5 | 0 | 0 | 0 | 1 |
| Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
|---|---|---|---|---|---|---|
| 83 | 21 | 25.30% | 102 | 20 | 80.39% | 2 |
| Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
|---|---|---|---|---|---|---|---|
| 252 | 273 | 285 | 14 | 32 | 32 | 19 | 3 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 378 | 776 | 48.71% | 402 | 836 | 48.09% | 180 | 355 | 50.70% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 491 | 349 | 536 | 148 | 246 | 118 |
| 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 | 0 | 0 |
| Attendance PCT | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
| 31 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
| 404,038$ | 1,523,000$ | 1,523,000$ | 0$ |
| Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|
| 0$ | 404,038$ | 0 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 141 | 8,101$ | 1,142,241$ |
| # | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Yan Kuznetsov | 176 | 33 | 91 | 124 | -35 | 206 | 362 | 249 | 378 | 8.73% | 264 | 3827 | 21.75 | 23 | 26 | 49 | 214 | 0 | 1 | 1 | 4 | 1 | 0 | 28.57% | 1 | 0.65 | 2 | 6 |
| 2 | Luke Toporowski | 154 | 50 | 72 | 122 | -3 | 100 | 210 | 315 | 609 | 8.21% | 28 | 2558 | 16.61 | 8 | 18 | 26 | 96 | 1 | 0 | 1 | 1 | 6 | 4 | 52.73% | 1 | 0.95 | 0 | 5 |
| 3 | Kyle Capobianco | 122 | 36 | 71 | 107 | -50 | 183 | 283 | 245 | 362 | 9.94% | 229 | 2850 | 23.37 | 27 | 25 | 52 | 227 | 0 | 0 | 0 | 2 | 1 | 1 | 0% | 0 | 0.75 | 0 | 0 |
| 4 | Helge Grans | 161 | 21 | 82 | 103 | -6 | 190 | 310 | 209 | 247 | 8.50% | 186 | 2845 | 17.67 | 6 | 6 | 12 | 47 | 0 | 0 | 0 | 1 | 2 | 2 | 34.78% | 0 | 0.72 | 2 | 2 |
| 5 | Alex Beaucage | 116 | 35 | 56 | 91 | 2 | 74 | 190 | 221 | 295 | 11.86% | 19 | 1886 | 16.26 | 12 | 27 | 39 | 90 | 0 | 0 | 0 | 2 | 5 | 1 | 50.79% | 0 | 0.96 | 1 | 2 |
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Calle Clang | 35 | 14 | 17 | 4 | 0.895 | 3.95 | 2111 | 2 | 0 | 139 | 1324 | 0 | 1 | 2 | 0.600 | 10 |
| 2 | Lukas Parik | 40 | 11 | 24 | 5 | 0.880 | 4.26 | 2393 | 2 | 0 | 170 | 1414 | 0 | 2 | 0 | 0.625 | 16 |
| 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 |
| Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2023 | 82 | 23 | 46 | 0 | 1 | 1 | 2 | 9 | 281 | 355 | -74 | 41 | 11 | 24 | 0 | 0 | 0 | 2 | 4 | 147 | 182 | -35 | 41 | 12 | 22 | 0 | 1 | 1 | 0 | 5 | 134 | 173 | -39 | 62 | 281 | 518 | 799 | 3 | 0 | 107 | 110 | 61 | 7 | 2858 | 897 | 966 | 963 | 73 | 2959 | 804 | 896 | 1919 | 376 | 80 | 21.28% | 386 | 99 | 74.35% | 0 | 1533 | 2944 | 52.07% | 1366 | 2870 | 47.60% | 740 | 1448 | 51.10% | 1989 | 1387 | 1959 | 594 | 1027 | 515 |
| 2024 | 82 | 29 | 35 | 0 | 1 | 6 | 6 | 5 | 295 | 300 | -5 | 41 | 19 | 16 | 0 | 0 | 2 | 3 | 1 | 148 | 133 | 15 | 41 | 10 | 19 | 0 | 1 | 4 | 3 | 4 | 147 | 167 | -20 | 83 | 295 | 528 | 823 | 3 | 4 | 120 | 97 | 71 | 13 | 3036 | 1001 | 989 | 1020 | 70 | 2894 | 839 | 913 | 1884 | 342 | 76 | 22.22% | 386 | 90 | 76.68% | 3 | 1679 | 3081 | 54.50% | 1532 | 2919 | 52.48% | 748 | 1393 | 53.70% | 2094 | 1489 | 1886 | 569 | 1006 | 511 |
| 2025 | 21 | 8 | 10 | 0 | 1 | 0 | 1 | 1 | 85 | 86 | -1 | 10 | 5 | 4 | 0 | 1 | 0 | 0 | 0 | 40 | 36 | 4 | 11 | 3 | 6 | 0 | 0 | 0 | 1 | 1 | 45 | 50 | -5 | 21 | 85 | 157 | 242 | 1 | 0 | 32 | 32 | 19 | 3 | 817 | 252 | 273 | 285 | 14 | 877 | 231 | 240 | 526 | 83 | 21 | 25.30% | 102 | 20 | 80.39% | 2 | 378 | 776 | 48.71% | 402 | 836 | 48.09% | 180 | 355 | 50.70% | 491 | 349 | 536 | 148 | 246 | 118 |
| Total Regular Season | 185 | 60 | 91 | 0 | 3 | 7 | 9 | 15 | 661 | 741 | -80 | 92 | 35 | 44 | 0 | 1 | 2 | 5 | 5 | 335 | 351 | -16 | 93 | 25 | 47 | 0 | 2 | 5 | 4 | 10 | 326 | 390 | -64 | 166 | 661 | 1203 | 1864 | 7 | 4 | 259 | 239 | 151 | 23 | 6711 | 2150 | 2228 | 2268 | 157 | 6730 | 1874 | 2049 | 4329 | 801 | 177 | 22.10% | 874 | 209 | 76.09% | 5 | 3590 | 6801 | 52.79% | 3300 | 6625 | 49.81% | 1668 | 3196 | 52.19% | 4575 | 3226 | 4382 | 1311 | 2280 | 1146 |
| Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Total Playoff | 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 | 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 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
| # | 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 |
|---|