![]() | Chicago Wolves |
| GP: 3 | W: 2 | L: 0 | OTL: 1 | P: 5 GF: 15 | GA: 7 | PP%: 41.67% | PK%: 88.89% GM : Patrik Andersson | Morale : 51 | Team Overall : 57 Next Games #57 vs Utica Comets |
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Hamilton Hammers
0-2-1, 1pts
0
3
Chicago Wolves
2-0-1, 5pts
2026-09-20
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Team Stats
Goals For 5.00 GPG Rank #1 / 32 Shots For 22.33 Avg Rank #29 / 32 Power Play Percentage 41.7% Rank #1 / 32 Offensive Zone Start 37.9% Rank #25 / 32 Puck Time Control In Offensif Zone / GP 15.23 min Rank #21 / 32 Goals Against 2.33 GAA Rank #3 / 32 Shots Against 28.67 Avg Rank #20 / 32 Penalty Kill Percentage 88.9% Rank #7 / 32 Defensive Zone Start 38.3% Rank #14 / 32 Puck Time In Offensif Zone / Puck Time In Defensif Zone 0.96 Rank #20 / 32 |
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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 | Dominik Shine (C) | 65 | X | 100.00 | 72 | 63 | 94 | 66 | 60 | 55 | 74 | 66 | 48 | 63 | 68 | 63 | 60 | 64 | 55 | 0 | 54 | 61 | 0 | 33 | 2 | 875,000$ | ||||
| 2 | Patrick Brown (A) | 38 | X | 100.00 | 70 | 56 | 85 | 63 | 61 | 50 | 90 | 62 | 75 | 63 | 63 | 70 | 56 | 64 | 55 | 0 | 51 | 60 | 0 | 34 | 1 | 1,075,000$ | ||||
| 3 | Laurent Dauphin | 47 | X | 100.00 | 66 | 55 | 87 | 66 | 59 | 50 | 81 | 64 | 75 | 70 | 63 | 64 | 57 | 60 | 53 | 0 | 51 | 60 | 0 | 31 | 1 | 1,075,000$ | ||||
| 4 | Dominic Toninato | 21 | X | 100.00 | 70 | 57 | 83 | 64 | 60 | 50 | 80 | 64 | 75 | 64 | 64 | 56 | 57 | 62 | 54 | 0 | 51 | 59 | 0 | 32 | 1 | 975,000$ | ||||
| 5 | Justin Robidas (A) | 45 | X | 100.00 | 60 | 34 | 93 | 65 | 53 | 50 | 83 | 64 | 75 | 66 | 66 | 62 | 58 | 45 | 45 | 0 | 51 | 58 | 0 | 23 | 1 | 850,000$ | ||||
| 6 | Walker Duehr | 71 | X | X | 100.00 | 64 | 36 | 93 | 61 | 61 | 50 | 85 | 62 | 55 | 58 | 62 | 61 | 55 | 54 | 50 | 0 | 51 | 57 | 0 | 28 | 2 | 875,000$ | |||
| 7 | Jack Becker | 27 | X | X | 100.00 | 66 | 55 | 87 | 60 | 62 | 50 | 90 | 61 | 55 | 61 | 59 | 65 | 53 | 54 | 50 | 0 | 51 | 57 | 0 | 29 | 1 | 1,075,000$ | |||
| 8 | Quentin Musty | 13 | X | 100.00 | 71 | 57 | 85 | 63 | 63 | 50 | 85 | 63 | 45 | 61 | 64 | 55 | 57 | 42 | 42 | 0 | 51 | 57 | 0 | 20 | 2 | 909,166$ | ||||
| 9 | Lucas Mercuri | 11 | X | X | 100.00 | 81 | 68 | 75 | 58 | 65 | 50 | 88 | 59 | 55 | 56 | 58 | 67 | 52 | 48 | 47 | 0 | 48 | 57 | 0 | 25 | 1 | 913,750$ | |||
| 10 | Mike Hardman | 86 | X | X | 100.00 | 63 | 35 | 93 | 58 | 62 | 50 | 83 | 57 | 55 | 56 | 60 | 56 | 52 | 52 | 49 | 0 | 51 | 55 | 0 | 27 | 1 | 850,000$ | |||
| 11 | Gracyn Sawchyn | 59 | X | X | 100.00 | 57 | 31 | 91 | 61 | 53 | 50 | 72 | 63 | 55 | 63 | 58 | 58 | 54 | 43 | 43 | 0 | 51 | 55 | 0 | 21 | 2 | 934,166$ | |||
| 12 | Matthew Barbolini | 28 | X | X | 100.00 | 66 | 37 | 93 | 58 | 63 | 50 | 85 | 61 | 55 | 59 | 55 | 56 | 51 | 48 | 47 | 0 | 51 | 55 | 0 | 26 | 1 | 850,000$ | |||
| 13 | Cale Fleury | 80 | X | 100.00 | 88 | 68 | 96 | 60 | 73 | 68 | 63 | 55 | 25 | 58 | 57 | 79 | 36 | 50 | 45 | 0 | 51 | 63 | 0 | 27 | 1 | 890,000$ | ||||
| 14 | Zayne Parekh | 89 | X | 100.00 | 68 | 36 | 94 | 69 | 69 | 71 | 71 | 70 | 25 | 61 | 66 | 72 | 45 | 43 | 40 | 0 | 51 | 63 | 0 | 20 | 2 | 953,750$ | ||||
| 15 | Juuso Valimaki | 40 | X | 100.00 | 67 | 36 | 89 | 68 | 62 | 50 | 68 | 68 | 25 | 61 | 57 | 71 | 55 | 52 | 49 | 0 | 51 | 60 | 0 | 27 | 1 | 900,000$ | ||||
| 16 | Carter Yakemchuk | 26 | X | 100.00 | 66 | 55 | 87 | 65 | 61 | 50 | 81 | 62 | 25 | 61 | 55 | 59 | 52 | 42 | 42 | 0 | 51 | 55 | 0 | 20 | 3 | 941,667$ | ||||
| 17 | Sean Day | 74 | X | 100.00 | 67 | 38 | 97 | 57 | 64 | 50 | 85 | 54 | 25 | 53 | 49 | 68 | 46 | 54 | 50 | 0 | 51 | 55 | 0 | 28 | 1 | 850,000$ | ||||
| 18 | Calen Addison | 33 | X | 100.00 | 63 | 34 | 89 | 61 | 55 | 50 | 87 | 58 | 25 | 57 | 53 | 61 | 49 | 50 | 48 | 0 | 51 | 54 | 0 | 26 | 1 | 1,150,000$ | ||||
| Scratches | ||||||||||||||||||||||||||||||
| 1 | Michal Kunc | 16 | X | X | 100.00 | 67 | 37 | 93 | 58 | 62 | 50 | 76 | 60 | 55 | 56 | 58 | 58 | 53 | 48 | 47 | 0 | 47 | 55 | 0 | 25 | 1 | 850,000$ | |||
| 2 | Mitchell Stephens | 68 | X | 100.00 | 63 | 35 | 91 | 58 | 58 | 50 | 89 | 58 | 75 | 57 | 59 | 52 | 52 | 56 | 51 | 0 | 47 | 54 | 0 | 29 | 1 | 1,075,000$ | ||||
| 3 | Shawn Element | 17 | X | 100.00 | 67 | 54 | 85 | 54 | 56 | 50 | 72 | 54 | 75 | 52 | 57 | 56 | 50 | 50 | 48 | 0 | 47 | 53 | 0 | 26 | 1 | 850,000$ | ||||
| 4 | Aidan Fulp | 29 | X | 100.00 | 68 | 37 | 91 | 53 | 64 | 50 | 65 | 48 | 25 | 51 | 43 | 71 | 40 | 50 | 48 | 0 | 47 | 54 | 0 | 26 | 1 | 850,000$ | ||||
| 5 | Leo Loof | 7 | X | 100.00 | 65 | 54 | 87 | 54 | 59 | 50 | 78 | 51 | 25 | 50 | 48 | 68 | 44 | 46 | 46 | 0 | 47 | 53 | 0 | 24 | 0 | 0$ | ||||
| 6 | Joey Willis | 61 | X | 100.00 | 60 | 33 | 91 | 59 | 55 | 50 | 82 | 58 | 25 | 54 | 53 | 62 | 49 | 43 | 43 | 0 | 47 | 53 | 0 | 21 | 2 | 960,000$ | ||||
| 7 | Quinton Burns | 43 | X | 100.00 | 76 | 77 | 67 | 54 | 59 | 50 | 70 | 49 | 25 | 52 | 45 | 67 | 42 | 43 | 43 | 0 | 47 | 53 | 0 | 21 | 2 | 938,333$ | ||||
| TEAM AVERAGE | 100.00 | 68 | 47 | 89 | 61 | 61 | 52 | 79 | 60 | 47 | 59 | 58 | 63 | 51 | 51 | 48 | 0 | 50 | 57 | |||||||||||
| 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 | Pheonix Copley | 92 | 100.00 | 68 | 61 | 47 | 80 | 68 | 71 | 61 | 66 | 67 | 65 | 56 | 72 | 63 | 0 | 52 | 62 | 0 | 34 | 1 | 1,075,000$ | |
| 2 | Spencer Martin | 41 | 100.00 | 62 | 56 | 46 | 79 | 61 | 63 | 67 | 61 | 61 | 79 | 61 | 64 | 59 | 0 | 52 | 59 | 0 | 31 | 1 | 850,000$ | |
| Scratches | ||||||||||||||||||||||||
| 1 | Amir Miftakhov | 35 | 100.00 | 65 | 59 | 46 | 75 | 60 | 59 | 59 | 53 | 60 | 62 | 50 | 56 | 48 | 0 | 48 | 55 | 0 | 26 | 1 | 1,075,000$ | |
| TEAM AVERAGE | 100.00 | 65 | 59 | 46 | 78 | 63 | 64 | 62 | 60 | 63 | 69 | 56 | 64 | 57 | 0 | 51 | 59 | |||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Anders Sorensen | 64 | 69 | 64 | 74 | 70 | 67 | 1 | SWE | 51 | 1 | 2,010,000$ |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Player Name | Team Name | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Justin Robidas | Chicago Wolves (CAR) | C | 3 | 4 | 2 | 6 | 2 | 0 | 0 | 2 | 6 | 6 | 6 | 6 | 66.67% | 1 | 41 | 13.70 | 2 | 0 | 2 | 3 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.95% | 37 | 0 | 0 | 0 | 1 | 2.92 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
| 2 | Jack Becker | Chicago Wolves (CAR) | LW/RW | 3 | 3 | 1 | 4 | 0 | 0 | 0 | 2 | 2 | 5 | 3 | 1 | 60.00% | 0 | 49 | 16.53 | 1 | 1 | 2 | 2 | 7 | 1 | 0 | 1 | 1 | 6 | 1 | 0 | 66.67% | 6 | 0 | 0 | 0 | 0 | 1.61 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 3 | Laurent Dauphin | Chicago Wolves (CAR) | C | 3 | 0 | 4 | 4 | 1 | 0 | 0 | 1 | 7 | 4 | 0 | 5 | 0% | 0 | 54 | 18.25 | 0 | 2 | 2 | 1 | 8 | 0 | 1 | 1 | 0 | 6 | 0 | 0 | 61.73% | 81 | 0 | 0 | 0 | 0 | 1.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 4 | Zayne Parekh | Chicago Wolves (CAR) | D | 3 | 0 | 4 | 4 | 1 | 4 | 0 | 1 | 5 | 3 | 1 | 1 | 0% | 1 | 68 | 22.88 | 0 | 1 | 1 | 0 | 8 | 0 | 1 | 1 | 0 | 5 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 1.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 5 | Gracyn Sawchyn | Chicago Wolves (CAR) | LW/RW | 3 | 0 | 3 | 3 | 2 | 0 | 0 | 1 | 4 | 6 | 1 | 3 | 0% | 0 | 40 | 13.61 | 0 | 1 | 1 | 1 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 1.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 6 | Dominik Shine | Chicago Wolves (CAR) | RW | 3 | 1 | 2 | 3 | 0 | 5 | 5 | 5 | 0 | 7 | 3 | 6 | 14.29% | 0 | 53 | 17.85 | 1 | 1 | 2 | 5 | 7 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 20.00% | 5 | 0 | 0 | 0 | 0 | 1.12 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
| 7 | Calen Addison | Chicago Wolves (CAR) | D | 3 | 1 | 2 | 3 | 4 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 100.00% | 1 | 49 | 16.59 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 1.21 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 8 | Patrick Brown | Chicago Wolves (CAR) | C | 3 | 0 | 2 | 2 | 2 | 2 | 0 | 3 | 6 | 5 | 1 | 10 | 0% | 0 | 48 | 16.17 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 5 | 0 | 0 | 59.62% | 52 | 0 | 0 | 0 | 0 | 0.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 9 | Cale Fleury | Chicago Wolves (CAR) | D | 3 | 2 | 0 | 2 | 2 | 0 | 0 | 3 | 3 | 4 | 1 | 0 | 50.00% | 6 | 63 | 21.11 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 6 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 10 | Walker Duehr | Chicago Wolves (CAR) | LW/RW | 3 | 1 | 1 | 2 | 1 | 2 | 0 | 2 | 1 | 5 | 1 | 6 | 20.00% | 0 | 44 | 14.93 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 16.67% | 6 | 0 | 0 | 0 | 0 | 0.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 11 | Dominic Toninato | Chicago Wolves (CAR) | C | 3 | 1 | 1 | 2 | -2 | 0 | 0 | 2 | 5 | 6 | 2 | 2 | 16.67% | 1 | 48 | 16.15 | 0 | 1 | 1 | 0 | 7 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 47.17% | 53 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 12 | Sean Day | Chicago Wolves (CAR) | D | 3 | 0 | 2 | 2 | 4 | 2 | 0 | 4 | 3 | 1 | 0 | 0 | 0% | 4 | 50 | 16.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 13 | Juuso Valimaki | Chicago Wolves (CAR) | D | 3 | 1 | 0 | 1 | -1 | 4 | 0 | 1 | 5 | 2 | 2 | 1 | 50.00% | 7 | 59 | 19.91 | 1 | 0 | 1 | 1 | 7 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 14 | Carter Yakemchuk | Chicago Wolves (CAR) | D | 3 | 0 | 1 | 1 | 0 | 2 | 0 | 2 | 5 | 2 | 0 | 1 | 0% | 2 | 59 | 19.77 | 0 | 1 | 1 | 2 | 7 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 15 | Mike Hardman | Chicago Wolves (CAR) | LW/RW | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 0 | 1 | 25.00% | 0 | 39 | 13.18 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 16 | Matthew Barbolini | Chicago Wolves (CAR) | LW/RW | 3 | 0 | 1 | 1 | 3 | 0 | 0 | 2 | 2 | 3 | 0 | 3 | 0% | 0 | 34 | 11.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 17 | Quentin Musty | Chicago Wolves (CAR) | LW | 3 | 0 | 0 | 0 | 1 | 4 | 0 | 5 | 2 | 2 | 3 | 3 | 0% | 1 | 43 | 14.44 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 18 | Lucas Mercuri | Chicago Wolves (CAR) | LW/RW | 3 | 0 | 0 | 0 | 1 | 7 | 5 | 6 | 1 | 1 | 0 | 1 | 0% | 1 | 40 | 13.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0% | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
| Team Total or Average | 54 | 15 | 26 | 41 | 21 | 32 | 10 | 44 | 59 | 67 | 25 | 51 | 22.39% | 25 | 890 | 16.50 | 5 | 9 | 14 | 16 | 83 | 2 | 3 | 5 | 3 | 56 | 2 | 0 | 53.36% | 253 | 0 | 0 | 0 | 1 | 0.92 | 0 | 0 | 1 | 1 | 0 | 1 | 2 | 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 |
| # | 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 | Pheonix Copley | Chicago Wolves (CAR) | 3 | 2 | 0 | 1 | 0.919 | 2.30 | 183 | 0 | 1 | 7 | 86 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 0 | 0 |
| Team Total or Average | 3 | 2 | 0 | 1 | 0.919 | 2.30 | 183 | 0 | 1 | 7 | 86 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 0 | 0 | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Player Name | Team Name | POS | Age | Birthday | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aidan Fulp | Chicago Wolves (CAR) | D | 26 | 2000-02-29 | USA | No | 95 Kg | 191 CM | No | No | Assign Manually | No | No | 1 | 2026-08-26 | False | False | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Amir Miftakhov | Chicago Wolves (CAR) | G | 26 | 2000-04-26 | RUS | No | 83 Kg | 183 CM | No | No | Assign Manually | No | No | 1 | 2026-08-23 | False | False | Pro & Farm | 1,075,000$ | 1,075,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Cale Fleury (1 Way Contract) | Chicago Wolves (CAR) | D | 27 | 1998-11-19 | CAN | No | 93 Kg | 185 CM | No | No | N/A | Yes | Yes | 1 | 2025-06-26 | False | False | Pro & Farm | 890,000$ | 890,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Calen Addison (1 Way Contract) | Chicago Wolves (CAR) | D | 26 | 2000-04-11 | CAN | No | 80 Kg | 175 CM | No | No | Assign Manually | 2024-06-04 | Yes | Yes | 1 | 2024-08-24 | False | False | Pro & Farm | 1,150,000$ | 1,150,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
| Carter Yakemchuk | Chicago Wolves (CAR) | D | 20 | 2005-09-29 | CAN | No | 83 Kg | 188 CM | No | No | Draft | No | No | 3 | 2026-06-07 | False | False | Pro & Farm | 941,667$ | 941,667$ | 0$ | 0$ | No | 941,667$ | 941,667$ | - | - | - | - | - | - | - | 941,667$ | 941,667$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link / NHL Link | |
| Dominic Toninato | Chicago Wolves (CAR) | C | 32 | 1994-03-09 | USA | No | 82 Kg | 185 CM | No | No | Assign Manually | 2024-03-10 | No | No | 1 | 2025-08-23 | False | False | Pro & Farm | 975,000$ | 975,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
| Dominik Shine (1 Way Contract) | Chicago Wolves (CAR) | RW | 33 | 1993-04-18 | USA | No | 85 Kg | 180 CM | No | No | Assign Manually | Yes | Yes | 2 | 2026-06-07 | False | False | Pro & Farm | 875,000$ | 875,000$ | 0$ | 0$ | No | 875,000$ | - | - | - | - | - | - | - | - | 875,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Gracyn Sawchyn | Chicago Wolves (CAR) | LW/RW | 21 | 2005-01-19 | CAN | No | 67 Kg | 178 CM | No | No | Prospect | No | No | 2 | 2026-06-07 | False | False | Pro & Farm | 934,166$ | 934,166$ | 0$ | 0$ | No | 934,166$ | - | - | - | - | - | - | - | - | 934,166$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Jack Becker | Chicago Wolves (CAR) | LW/RW | 29 | 1997-06-24 | USA | No | 86 Kg | 191 CM | No | No | Assign Manually | No | No | 1 | 2026-08-23 | False | False | Pro & Farm | 1,075,000$ | 1,075,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Joey Willis | Chicago Wolves (CAR) | D | 21 | 2005-03-14 | USA | No | 77 Kg | 178 CM | No | No | Prospect | No | No | 2 | 2026-06-07 | False | False | Pro & Farm | 960,000$ | 960,000$ | 0$ | 0$ | No | 960,000$ | - | - | - | - | - | - | - | - | 960,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Justin Robidas | Chicago Wolves (CAR) | C | 23 | 2003-03-13 | USA | No | 79 Kg | 170 CM | No | No | Prospect | Yes | Yes | 1 | 2026-09-12 | False | False | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Juuso Valimaki (1 Way Contract) | Chicago Wolves (CAR) | D | 27 | 1998-10-06 | FIN | No | 91 Kg | 188 CM | No | No | Trade | 2025-06-11 | Yes | Yes | 1 | 2026-07-02 | False | False | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
| Laurent Dauphin | Chicago Wolves (CAR) | C | 31 | 1995-03-26 | CAN | No | 84 Kg | 183 CM | No | No | Assign Manually | No | No | 1 | 2026-08-22 | False | False | Pro & Farm | 1,075,000$ | 1,075,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Leo Loof | Chicago Wolves (CAR) | D | 24 | 2002-04-05 | SWE | No | 81 Kg | 185 CM | No | No | Prospect | No | No | 0 | 2024-06-05 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |||
| Lucas Mercuri | Chicago Wolves (CAR) | LW/RW | 25 | 2001-03-07 | CAN | No | 100 Kg | 191 CM | No | No | Prospect | Yes | Yes | 1 | 2026-06-07 | False | False | Pro & Farm | 913,750$ | 913,750$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Matthew Barbolini | Chicago Wolves (CAR) | LW/RW | 26 | 2000-06-01 | USA | No | 93 Kg | 188 CM | No | No | Assign Manually | No | No | 1 | 2026-08-25 | False | False | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Michal Kunc | Chicago Wolves (CAR) | LW/RW | 25 | 2000-10-31 | CZE | No | 94 Kg | 185 CM | No | No | Assign Manually | No | No | 1 | 2026-08-25 | False | False | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Mike Hardman | Chicago Wolves (CAR) | LW/RW | 27 | 1999-02-05 | USA | No | 86 Kg | 191 CM | No | No | Assign Manually | No | No | 1 | 2026-08-25 | False | False | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Mitchell Stephens | Chicago Wolves (CAR) | C | 29 | 1997-02-05 | CAN | No | 83 Kg | 180 CM | No | No | Assign Manually | Yes | Yes | 1 | 2026-08-25 | False | False | Pro & Farm | 1,075,000$ | 1,075,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Patrick Brown | Chicago Wolves (CAR) | C | 34 | 1992-05-29 | USA | No | 90 Kg | 185 CM | No | No | Assign Manually | 2025-12-02 | No | No | 1 | 2026-08-21 | False | False | Pro & Farm | 1,075,000$ | 1,075,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
| Pheonix Copley | Chicago Wolves (CAR) | G | 34 | 1992-01-18 | USA | No | 91 Kg | 193 CM | No | No | Assign Manually | 2025-03-09 | No | No | 1 | 2026-08-21 | False | False | Pro & Farm | 1,075,000$ | 1,075,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
| Quentin Musty | Chicago Wolves (CAR) | LW | 20 | 2005-07-06 | USA | No | 92 Kg | 188 CM | No | No | Prospect | No | No | 2 | 2026-06-07 | False | False | Pro & Farm | 909,166$ | 909,166$ | 0$ | 0$ | No | 909,166$ | - | - | - | - | - | - | - | - | 909,166$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Quinton Burns | Chicago Wolves (CAR) | D | 21 | 2005-04-14 | CAN | No | 77 Kg | 188 CM | No | No | Prospect | No | No | 2 | 2026-06-07 | False | False | Pro & Farm | 938,333$ | 938,333$ | 0$ | 0$ | No | 938,333$ | - | - | - | - | - | - | - | - | 938,333$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
| Sean Day | Chicago Wolves (CAR) | D | 28 | 1998-01-09 | CAN | No | 98 Kg | 188 CM | No | No | Assign Manually | No | No | 1 | 2026-08-30 | False | False | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
| Shawn Element | Chicago Wolves (CAR) | C | 26 | 2000-04-23 | CAN | No | 81 Kg | 178 CM | No | No | Assign Manually | No | No | 1 | 2026-08-26 | False | False | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Spencer Martin (1 Way Contract) | Chicago Wolves (CAR) | G | 31 | 1995-06-08 | CAN | No | 87 Kg | 191 CM | No | No | Trade | 2025-10-30 | Yes | Yes | 1 | 2026-06-07 | False | False | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link / NHL Link |
| Walker Duehr | Chicago Wolves (CAR) | LW/RW | 28 | 1997-11-23 | USA | No | 87 Kg | 185 CM | No | No | Assign Manually | Yes | Yes | 2 | 2026-06-17 | False | False | Pro & Farm | 875,000$ | 875,000$ | 0$ | 0$ | No | 875,000$ | - | - | - | - | - | - | - | - | 875,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link | |
| Zayne Parekh | Chicago Wolves (CAR) | D | 20 | 2006-02-15 | CAN | No | 81 Kg | 183 CM | No | No | Draft | No | No | 2 | 2026-06-07 | False | False | Pro & Farm | 953,750$ | 953,750$ | 0$ | 0$ | No | 953,750$ | - | - | - | - | - | - | - | - | 953,750$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link / NHL Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 28 | 26.43 | 86 Kg | 185 CM | 1.29 | 909,494$ |
| 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 | Hamilton Hammers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 4 | 3 | 8 | 0 | 14 | 22 | 15 | 29 | 1 | 28 | 8 | 9 | 15 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 56 | 94 | 59.57% | 42 | 95 | 44.21% | 37 | 59 | 62.71% | 69 | 45 | 72 | 24 | 41 | 20 |
| 2 | Hartford Wolf Pack | 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 | 7 | 11 | 0 | 0 | 4 | 3 | 8 | 0 | 23 | 22 | 15 | 29 | 1 | 33 | 11 | 14 | 9 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 1 | 56 | 94 | 59.57% | 42 | 95 | 44.21% | 37 | 59 | 62.71% | 69 | 45 | 72 | 24 | 41 | 20 |
| 3 | Lehigh Valley Phantoms | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 8 | 13 | 21 | 0 | 0 | 4 | 3 | 8 | 0 | 30 | 22 | 15 | 29 | 1 | 25 | 6 | 9 | 20 | 7 | 4 | 57.14% | 2 | 0 | 100.00% | 1 | 56 | 94 | 59.57% | 42 | 95 | 44.21% | 37 | 59 | 62.71% | 69 | 45 | 72 | 24 | 41 | 20 |
| Total | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 15 | 7 | 8 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 15 | 7 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0.833 | 15 | 26 | 41 | 0 | 1 | 4 | 3 | 8 | 0 | 67 | 22 | 15 | 29 | 1 | 86 | 25 | 32 | 44 | 12 | 5 | 41.67% | 9 | 1 | 88.89% | 2 | 56 | 94 | 59.57% | 42 | 95 | 44.21% | 37 | 59 | 62.71% | 69 | 45 | 72 | 24 | 41 | 20 | |
| _Since Last GM Reset | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 15 | 7 | 8 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 15 | 7 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0.833 | 15 | 26 | 41 | 0 | 1 | 4 | 3 | 8 | 0 | 67 | 22 | 15 | 29 | 1 | 86 | 25 | 32 | 44 | 12 | 5 | 41.67% | 9 | 1 | 88.89% | 2 | 56 | 94 | 59.57% | 42 | 95 | 44.21% | 37 | 59 | 62.71% | 69 | 45 | 72 | 24 | 41 | 20 | |
| _Vs Conference | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 15 | 7 | 8 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 15 | 7 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0.833 | 15 | 26 | 41 | 0 | 1 | 4 | 3 | 8 | 0 | 67 | 22 | 15 | 29 | 1 | 86 | 25 | 32 | 44 | 12 | 5 | 41.67% | 9 | 1 | 88.89% | 2 | 56 | 94 | 59.57% | 42 | 95 | 44.21% | 37 | 59 | 62.71% | 69 | 45 | 72 | 24 | 41 | 20 | |
| _Vs Division | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 15 | 7 | 8 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 15 | 7 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0.833 | 15 | 26 | 41 | 0 | 1 | 4 | 3 | 8 | 0 | 67 | 22 | 15 | 29 | 1 | 86 | 25 | 32 | 44 | 12 | 5 | 41.67% | 9 | 1 | 88.89% | 2 | 56 | 94 | 59.57% | 42 | 95 | 44.21% | 37 | 59 | 62.71% | 69 | 45 | 72 | 24 | 41 | 20 | |
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 3 | 5 | W1 | 15 | 26 | 41 | 67 | 86 | 25 | 32 | 44 | 0 | 1 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 3 | 2 | 0 | 0 | 1 | 0 | 0 | 15 | 7 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 3 | 2 | 0 | 0 | 1 | 0 | 0 | 15 | 7 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 2 | 0 | 0 | 1 | 0 | 0 |
| Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
|---|---|---|---|---|---|---|
| 12 | 5 | 41.67% | 9 | 1 | 88.89% | 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 |
|---|---|---|---|---|---|---|---|
| 22 | 15 | 29 | 1 | 4 | 3 | 8 | 0 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 56 | 94 | 59.57% | 42 | 95 | 44.21% | 37 | 59 | 62.71% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 69 | 45 | 72 | 24 | 41 | 20 |
| 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 |
| Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 - 2026-09-18 | 9 | Lehigh Valley Phantoms | 2 | Chicago Wolves | 8 | W | Box score | |||
| 2 - 2026-09-19 | 25 | Hartford Wolf Pack | 5 | Chicago Wolves | 4 | L | X | Box score | ||
| 3 - 2026-09-20 | 41 | Hamilton Hammers | 0 | Chicago Wolves | 3 | W | Box score | |||
| 4 - 2026-09-21 | 57 | Utica Comets | - | Chicago Wolves | - | |||||
| 5 - 2026-09-22 | 73 | Chicago Wolves | - | Cleveland Monsters | - | |||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
| 6 - 2026-09-23 | 89 | Chicago Wolves | - | Hershey Bears | - | |||||
| 7 - 2026-09-24 | 105 | Chicago Wolves | - | Wilkes-Barre/Scranton Penguins | - | |||||
| Arena Capacity - Ticket Price Attendance - % | ||
|---|---|---|
| Level 1 | Level 2 | |
| Capacity | 5000 | 2500 |
| 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 |
| 1 | 0 - 0.00% | 0$ | 0$ | 7500 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
| 0$ | 2,080,084$ | 2,080,084$ | 2,010,000$0$ |
| Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 4 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Curtis McKenzie | 212 | 59 | 88 | 147 | 27 | 159 | 401 | 280 | 629 | 9.38% | 60 | 3668 | 17.30 | 18 | 31 | 49 | 141 | 0 | 2 | 2 | 9 | 9 | 5 | 39.92% | 2 | 0.80 | 2 | 5 |
| 2 | Brandon Gignac | 216 | 53 | 87 | 140 | 18 | 72 | 234 | 497 | 519 | 10.21% | 38 | 3556 | 16.47 | 14 | 30 | 44 | 73 | 0 | 4 | 4 | 16 | 13 | 2 | 54.81% | 0 | 0.79 | 2 | 6 |
| 3 | Mackenzie MacEachern | 212 | 44 | 67 | 111 | 20 | 57 | 283 | 290 | 528 | 8.33% | 49 | 3432 | 16.19 | 9 | 22 | 31 | 81 | 0 | 0 | 0 | 6 | 11 | 4 | 39.48% | 0 | 0.65 | 1 | 4 |
| 4 | Christian Wolanin | 145 | 20 | 66 | 86 | 8 | 53 | 126 | 170 | 205 | 9.76% | 169 | 2919 | 20.13 | 9 | 23 | 32 | 88 | 1 | 0 | 1 | 5 | 6 | 2 | 50.00% | 0 | 0.59 | 0 | 0 |
| 5 | Jack Drury | 123 | 27 | 57 | 84 | 11 | 22 | 70 | 236 | 302 | 8.94% | 9 | 1872 | 15.22 | 7 | 24 | 31 | 107 | 0 | 0 | 0 | 3 | 4 | 2 | 49.80% | 0 | 0.90 | 0 | 0 |
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Eetu Makiniemi | 70 | 49 | 18 | 3 | 0.916 | 2.44 | 4232 | 4 | 6 | 172 | 2047 | 0 | 1 | 1 | 0.917 | 12 |
| 2 | Charlie Lindgren | 74 | 43 | 25 | 6 | 0.918 | 2.45 | 4474 | 10 | 4 | 183 | 2225 | 0 | 2 | 1 | 0.833 | 24 |
| 3 | Mads Sogaard | 72 | 37 | 28 | 7 | 0.921 | 2.73 | 4348 | 6 | 0 | 198 | 2503 | 1321 | 2 | 7 | 0.769 | 13 |
| 4 | Spencer Martin | 63 | 35 | 20 | 5 | 0.862 | 3.34 | 3687 | 2 | 2 | 205 | 1490 | 0 | 2 | 1 | 0.800 | 15 |
| 5 | Beck Warm | 40 | 22 | 11 | 7 | 0.901 | 2.38 | 2420 | 2 | 2 | 96 | 967 | 0 | 2 | 0 | 0.889 | 9 |
| 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2021 | 72 | 40 | 21 | 0 | 2 | 6 | 1 | 2 | 232 | 183 | 49 | 36 | 23 | 10 | 0 | 1 | 1 | 1 | 0 | 135 | 91 | 44 | 36 | 17 | 11 | 0 | 1 | 5 | 0 | 2 | 97 | 92 | 5 | 94 | 232 | 414 | 646 | 0 | 5 | 90 | 78 | 61 | 3 | 2091 | 694 | 648 | 734 | 27 | 1833 | 541 | 1215 | 1464 | 475 | 77 | 16.21% | 506 | 70 | 86.17% | 7 | 1342 | 2483 | 54.05% | 1289 | 2369 | 54.41% | 554 | 1069 | 51.82% | 1712 | 1130 | 1705 | 574 | 933 | 464 |
| 2022 | 72 | 38 | 19 | 0 | 7 | 3 | 4 | 1 | 246 | 184 | 62 | 36 | 16 | 11 | 0 | 6 | 1 | 1 | 1 | 124 | 99 | 25 | 36 | 22 | 8 | 0 | 1 | 2 | 3 | 0 | 122 | 85 | 37 | 102 | 246 | 439 | 685 | 1 | 6 | 90 | 70 | 75 | 14 | 2325 | 773 | 714 | 817 | 39 | 2112 | 629 | 667 | 1653 | 308 | 67 | 21.75% | 277 | 43 | 84.48% | 2 | 1324 | 2401 | 55.14% | 1290 | 2387 | 54.04% | 613 | 1134 | 54.06% | 1755 | 1197 | 1661 | 544 | 946 | 477 |
| 2023 | 72 | 36 | 24 | 0 | 3 | 5 | 4 | 0 | 221 | 174 | 47 | 36 | 22 | 9 | 0 | 2 | 0 | 3 | 0 | 115 | 76 | 39 | 36 | 14 | 15 | 0 | 1 | 5 | 1 | 0 | 106 | 98 | 8 | 91 | 221 | 385 | 606 | 1 | 4 | 93 | 66 | 55 | 9 | 2308 | 743 | 775 | 776 | 33 | 2162 | 619 | 752 | 1597 | 331 | 72 | 21.75% | 298 | 39 | 86.91% | 3 | 1258 | 2457 | 51.20% | 1192 | 2454 | 48.57% | 572 | 1110 | 51.53% | 1738 | 1177 | 1675 | 552 | 944 | 482 |
| 2024 | 72 | 29 | 28 | 0 | 5 | 6 | 3 | 1 | 206 | 206 | 0 | 36 | 15 | 14 | 0 | 2 | 3 | 1 | 1 | 103 | 106 | -3 | 36 | 14 | 14 | 0 | 3 | 3 | 2 | 0 | 103 | 100 | 3 | 81 | 206 | 345 | 551 | 7 | 0 | 38 | 79 | 81 | 10 | 2652 | 790 | 931 | 898 | 46 | 2510 | 814 | 439 | 1740 | 133 | 40 | 30.08% | 168 | 53 | 68.45% | 5 | 755 | 1521 | 49.64% | 818 | 1638 | 49.94% | 534 | 1022 | 52.25% | 1510 | 832 | 1476 | 679 | 1372 | 678 |
| 2025 | 72 | 37 | 22 | 0 | 3 | 5 | 3 | 2 | 274 | 240 | 34 | 36 | 17 | 12 | 0 | 1 | 4 | 2 | 0 | 142 | 130 | 12 | 36 | 20 | 10 | 0 | 2 | 1 | 1 | 2 | 132 | 110 | 22 | 93 | 274 | 489 | 763 | 1 | 2 | 103 | 94 | 71 | 9 | 2006 | 663 | 672 | 648 | 47 | 1719 | 523 | 888 | 1257 | 357 | 83 | 23.25% | 384 | 84 | 78.13% | 7 | 1289 | 2366 | 54.48% | 1237 | 2159 | 57.30% | 715 | 1231 | 58.08% | 1787 | 1206 | 1600 | 558 | 971 | 498 |
| Total Regular Season | 360 | 180 | 114 | 0 | 20 | 25 | 15 | 6 | 1179 | 987 | 192 | 180 | 93 | 56 | 0 | 12 | 9 | 8 | 2 | 619 | 502 | 117 | 180 | 87 | 58 | 0 | 8 | 16 | 7 | 4 | 560 | 485 | 75 | 461 | 1179 | 2072 | 3251 | 10 | 17 | 414 | 387 | 343 | 45 | 11382 | 3663 | 3740 | 3873 | 192 | 10336 | 3126 | 3961 | 7711 | 1604 | 339 | 21.13% | 1633 | 289 | 82.30% | 24 | 5968 | 11228 | 53.15% | 5826 | 11007 | 52.93% | 2988 | 5566 | 53.68% | 8504 | 5546 | 8119 | 2909 | 5167 | 2602 |
| Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2021 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 17 | -5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 2 | 12 | 23 | 35 | 0 | 0 | 4 | 6 | 1 | 1 | 183 | 56 | 54 | 58 | 15 | 163 | 44 | 105 | 136 | 31 | 5 | 16.13% | 49 | 8 | 83.67% | 0 | 117 | 216 | 54.17% | 116 | 205 | 56.59% | 39 | 72 | 54.17% | 129 | 83 | 132 | 44 | 70 | 34 |
| 2022 | 19 | 10 | 9 | 0 | 0 | 0 | 0 | 0 | 49 | 45 | 4 | 10 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 24 | 27 | -3 | 9 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 25 | 18 | 7 | 20 | 49 | 87 | 136 | 1 | 1 | 13 | 21 | 14 | 1 | 598 | 200 | 209 | 177 | 12 | 534 | 170 | 170 | 425 | 90 | 14 | 15.56% | 76 | 12 | 84.21% | 0 | 335 | 665 | 50.38% | 314 | 614 | 51.14% | 159 | 303 | 52.48% | 470 | 316 | 441 | 149 | 259 | 131 |
| 2023 | 14 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 39 | 36 | 3 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 13 | 10 | 3 | 8 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 26 | 26 | 0 | 14 | 39 | 74 | 113 | 1 | 1 | 14 | 9 | 14 | 2 | 469 | 139 | 152 | 158 | 20 | 385 | 106 | 110 | 311 | 75 | 14 | 18.67% | 40 | 8 | 80.00% | 0 | 256 | 526 | 48.67% | 250 | 454 | 55.07% | 107 | 214 | 50.00% | 349 | 240 | 319 | 109 | 188 | 96 |
| 2025 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 24 | 19 | 5 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 12 | 12 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 6 | 24 | 44 | 68 | 0 | 0 | 8 | 10 | 6 | 0 | 239 | 76 | 63 | 81 | 19 | 167 | 56 | 68 | 114 | 45 | 11 | 24.44% | 32 | 8 | 75.00% | 0 | 151 | 283 | 53.36% | 126 | 204 | 61.76% | 66 | 112 | 58.93% | 193 | 132 | 159 | 56 | 101 | 53 |
| Total Playoff | 45 | 21 | 24 | 0 | 0 | 0 | 0 | 0 | 124 | 117 | 7 | 23 | 9 | 14 | 0 | 0 | 0 | 0 | 0 | 58 | 59 | -1 | 22 | 12 | 10 | 0 | 0 | 0 | 0 | 0 | 66 | 58 | 8 | 42 | 124 | 228 | 352 | 2 | 2 | 39 | 46 | 35 | 4 | 1489 | 471 | 478 | 474 | 66 | 1249 | 376 | 453 | 986 | 241 | 44 | 18.26% | 197 | 36 | 81.73% | 0 | 859 | 1690 | 50.83% | 806 | 1477 | 54.57% | 371 | 701 | 52.92% | 1143 | 772 | 1053 | 360 | 619 | 315 |
| # | 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 | Vasili Ponomarev | 33 | 5 | 14 | 19 | 2 | 14 | 39 | 65 | 87 | 5.75% | 5 | 599 | 18.16 | 2 | 6 | 8 | 32 | 0 | 0 | 0 | 1 | 2 | 0 | 48.33% | 0 | 0.63 | 0 | 0 |
| 2 | Seth Jarvis | 18 | 14 | 4 | 18 | 6 | 0 | 23 | 22 | 73 | 19.18% | 3 | 301 | 16.73 | 4 | 1 | 5 | 19 | 0 | 0 | 0 | 0 | 4 | 0 | 54.95% | 0 | 1.20 | 0 | 0 |
| 3 | Curtis McKenzie | 33 | 9 | 9 | 18 | -4 | 18 | 70 | 43 | 92 | 9.78% | 7 | 601 | 18.23 | 2 | 5 | 7 | 20 | 0 | 0 | 0 | 2 | 2 | 0 | 39.47% | 0 | 0.60 | 0 | 0 |
| 4 | Vinnie Hinostroza | 14 | 5 | 12 | 17 | 0 | 0 | 4 | 26 | 47 | 10.64% | 0 | 280 | 20.06 | 3 | 7 | 10 | 21 | 0 | 0 | 0 | 1 | 1 | 0 | 16.67% | 1 | 1.21 | 0 | 0 |
| 5 | Mackenzie MacEachern | 33 | 9 | 7 | 16 | 0 | 21 | 59 | 52 | 82 | 10.98% | 8 | 513 | 15.56 | 4 | 5 | 9 | 12 | 0 | 0 | 0 | 1 | 2 | 0 | 36.00% | 0 | 0.62 | 0 | 0 |
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Eetu Makiniemi | 19 | 10 | 6 | 3 | 0.917 | 2.26 | 1170 | 0 | 1 | 44 | 533 | 0 | 0 | 1 | 0 | 0 |
| 2 | Charlie Lindgren | 14 | 7 | 7 | 0 | 0.905 | 2.54 | 826 | 2 | 1 | 35 | 367 | 0 | 0 | 1 | 0 | 0 |
| 3 | Spencer Martin | 7 | 3 | 1 | 3 | 0.886 | 2.52 | 452 | 0 | 0 | 19 | 167 | 0 | 0 | 0 | 0 | 0 |
| 4 | Max Lagace | 4 | 1 | 2 | 1 | 0.904 | 2.89 | 270 | 0 | 0 | 13 | 136 | 0 | 0 | 0 | 0 | 0 |
| 5 | Beck Warm | 1 | 0 | 1 | 0 | 0.852 | 4.07 | 59 | 0 | 0 | 4 | 27 | 0 | 0 | 0 | 0 | 0 |