![]() | Marlies |
| GP: 41 | W: 19 | L: 18 | OTL: 4 | P: 42 GF: 131 | GA: 142 | PP%: 15.90% | PK%: 82.01% GM : Joël Durocher | Morale : 90 | Team Overall : 54 Next Games #625 vs Twins |
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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 | Valtteri Puustinen (R) | X | 100.00 | 57 | 45 | 90 | 80 | 51 | 50 | 40 | 51 | 30 | 44 | 58 | 65 | 65 | 85 | 72 | 0 | 90 | 56 | 0 | 26 | 1 | 900,000$ | ||||
| 2 | Andreas Athanasiou | X | 100.00 | 52 | 45 | 95 | 77 | 63 | 50 | 40 | 47 | 30 | 40 | 54 | 65 | 50 | 90 | 77 | 0 | 90 | 55 | X | 0 | 31 | 1 | 2,250,000$ | |||
| 3 | Jesse Ylonen | X | 100.00 | 50 | 45 | 89 | 77 | 67 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 84 | 71 | 0 | 90 | 53 | 0 | 25 | 4 | 900,000$ | ||||
| 4 | Tim Washe (R) | X | 100.00 | 50 | 45 | 95 | 74 | 79 | 50 | 40 | 45 | 30 | 40 | 50 | 57 | 50 | 83 | 70 | 0 | 90 | 53 | 0 | 24 | 4 | 3,000,000$ | ||||
| 5 | Alexander Nylander | X | 100.00 | 50 | 45 | 90 | 75 | 69 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 87 | 74 | 0 | 90 | 53 | 0 | 27 | 4 | 900,000$ | ||||
| 6 | Oskar Lindblom | X | 100.00 | 50 | 45 | 95 | 77 | 63 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 87 | 76 | 0 | 90 | 53 | 0 | 29 | 1 | 2,800,000$ | ||||
| 7 | Tyler Benson | X | 100.00 | 50 | 45 | 95 | 77 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 85 | 72 | 0 | 90 | 52 | 0 | 27 | 1 | 850,000$ | ||||
| 8 | Justin Richards (R) | X | 100.00 | 50 | 45 | 95 | 77 | 59 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 85 | 73 | 0 | 90 | 52 | 0 | 27 | 2 | 775,000$ | ||||
| 9 | Fredrik Karlstrom (R) | X | 100.00 | 50 | 45 | 95 | 76 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 85 | 72 | 0 | 90 | 52 | 0 | 27 | 3 | 775,000$ | ||||
| 10 | Chase Bradley (R) | X | 100.00 | 50 | 45 | 95 | 78 | 52 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 83 | 70 | 0 | 90 | 52 | 0 | 23 | 5 | 900,000$ | ||||
| 11 | Arnaud Durandeau (R) | X | 100.00 | 50 | 45 | 95 | 78 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 84 | 74 | 0 | 90 | 52 | 0 | 26 | 1 | 2,000,000$ | ||||
| 12 | Hunter McKown (R) | X | 100.00 | 50 | 45 | 95 | 76 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 80 | 69 | 0 | 90 | 52 | 0 | 23 | 5 | 900,000$ | ||||
| 13 | Brandon Gignac (R) | X | 100.00 | 50 | 45 | 95 | 80 | 48 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 86 | 75 | 0 | 90 | 52 | 0 | 27 | 2 | 775,000$ | ||||
| 14 | Marc Staal | X | 98.00 | 50 | 45 | 84 | 76 | 72 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 97 | 85 | 0 | 90 | 58 | 0 | 38 | 1 | 1,200,000$ | ||||
| 15 | Caleb Jones | X | 100.00 | 57 | 45 | 92 | 77 | 58 | 52 | 40 | 45 | 30 | 40 | 50 | 56 | 50 | 87 | 75 | 0 | 90 | 57 | 0 | 28 | 1 | 1,500,000$ | ||||
| 16 | Mattias Norlinder (R) | X | 100.00 | 50 | 45 | 95 | 78 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 83 | 70 | 0 | 90 | 56 | 0 | 25 | 2 | 900,000$ | ||||
| 17 | Filip Roos (R) | X | 100.00 | 50 | 45 | 95 | 77 | 63 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 85 | 74 | 0 | 90 | 56 | 0 | 26 | 5 | 800,000$ | ||||
| Scratches | |||||||||||||||||||||||||||||
| 1 | Lucas Condotta | X | 100.00 | 57 | 45 | 95 | 73 | 75 | 50 | 40 | 47 | 30 | 40 | 54 | 61 | 50 | 87 | 74 | 0 | 90 | 55 | 0 | 27 | 5 | 800,000$ | ||||
| 2 | German Rubtsov (R) | X | 100.00 | 50 | 45 | 95 | 79 | 59 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 85 | 72 | 0 | 90 | 52 | 0 | 27 | 2 | 775,000$ | ||||
| TEAM AVERAGE | 99.89 | 51 | 45 | 93 | 77 | 62 | 50 | 40 | 46 | 30 | 40 | 51 | 57 | 51 | 86 | 73 | 0 | 90 | 54 | ||||||||||
| 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 | Joel Blomqvist (R) | 100.00 | 70 | 50 | 71 | 88 | 70 | 70 | 70 | 70 | 70 | 70 | 70 | 83 | 73 | 0 | 90 | 62 | 0 | 23 | 4 | 975,000$ | |
| 2 | Hugo Alnefelt (R) | 100.00 | 70 | 40 | 40 | 81 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 80 | 67 | 0 | 90 | 57 | 0 | 24 | 3 | 850,000$ | |
| 3 | Michael Dipietro (R) | 100.00 | 70 | 40 | 40 | 86 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 82 | 69 | 0 | 90 | 57 | 0 | 26 | 5 | 900,000$ | |
| Scratches | |||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 70 | 43 | 50 | 85 | 67 | 67 | 67 | 67 | 67 | 67 | 67 | 82 | 70 | 0 | 90 | 59 | ||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Manny Malhotra | 65 | 65 | 65 | 65 | 77 | 82 | 86 | CAN | 46 | 2 | 2,500,000$ |
| 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 | Marc Staal | Marlies (TOR) | D | 41 | 7 | 13 | 20 | 9 | 34 | 0 | 55 | 33 | 49 | 18 | 27 | 14.29% | 43 | 818 | 19.97 | 2 | 3 | 5 | 28 | 100 | 0 | 0 | 0 | 0 | 83 | 2 | 1 | 39.39% | 33 | 0 | 0 | 0 | 0 | 0.49 | 1 | 1 | 0 | 0 | 0 | 4 | 6 | 5 |
| 2 | Lucas Condotta | Marlies (TOR) | LW | 36 | 6 | 8 | 14 | -2 | 23 | 5 | 39 | 71 | 51 | 14 | 39 | 11.76% | 5 | 612 | 17.01 | 1 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 0 | 22 | 1 | 0 | 41.06% | 414 | 0 | 0 | 0 | 0 | 0.46 | 0 | 3 | 0 | 0 | 1 | 5 | 3 | 5 |
| 3 | Jacob Moverare | Toronto Maple Leafs | D | 26 | 1 | 11 | 12 | -7 | 8 | 0 | 29 | 27 | 50 | 14 | 35 | 2.00% | 22 | 552 | 21.27 | 0 | 4 | 4 | 24 | 87 | 0 | 0 | 0 | 0 | 76 | 0 | 0 | 29.55% | 44 | 0 | 0 | 0 | 0 | 0.43 | 0 | 2 | 0 | 0 | 0 | 4 | 4 | 4 |
| 4 | Andreas Athanasiou | Marlies (TOR) | RW | 21 | 3 | 6 | 9 | -8 | 8 | 0 | 20 | 48 | 39 | 13 | 22 | 7.69% | 4 | 356 | 16.98 | 0 | 3 | 3 | 7 | 27 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 48.78% | 287 | 0 | 0 | 0 | 0 | 0.50 | 1 | 1 | 0 | 0 | 0 | 3 | 0 | 2 |
| 5 | Jesse Ylonen | Marlies (TOR) | RW | 32 | 2 | 6 | 8 | -7 | 18 | 0 | 36 | 28 | 29 | 6 | 25 | 6.90% | 18 | 531 | 16.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 31.82% | 22 | 0 | 0 | 0 | 0 | 0.30 | 0 | 1 | 0 | 0 | 0 | 1 | 5 | 4 |
| Team Total or Average | 156 | 19 | 44 | 63 | -15 | 91 | 5 | 179 | 207 | 218 | 65 | 148 | 8.72% | 92 | 2871 | 18.41 | 3 | 10 | 13 | 60 | 219 | 0 | 0 | 0 | 0 | 190 | 3 | 1 | 42.88% | 800 | 0 | 0 | 0 | 0 | 0.44 | 2 | 8 | 0 | 0 | 1 | 17 | 18 | 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 |
| # | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alexander Nylander | Marlies (TOR) | LW | 27 | 1998-03-02 | SWE | No | 192 Lbs | 6 ft1 | No | No | Trade | 2025-03-30 | No | No | 4 | 2026-03-08 | False | False | Pro & Farm | 900,000$ | 491,667$ | 0$ | 0$ | No | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | - | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |
| Andreas Athanasiou | Marlies (TOR) | RW | 31 | 1994-08-06 | CAN | No | 190 Lbs | 6 ft2 | No | Yes | Assign Manually | No | No | 1 | 2026-03-08 | False | False | Pro & Farm | 2,250,000$ | 1,229,167$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |
| Arnaud Durandeau | Marlies (TOR) | LW | 26 | 1999-01-14 | CAN | Yes | 185 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | 2026-03-08 | False | False | Pro & Farm | 2,000,000$ | 1,092,593$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Brandon Gignac | Marlies (TOR) | C | 27 | 1997-11-07 | CAN | Yes | 170 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | 2026-03-08 | False | False | Pro & Farm | 775,000$ | 423,380$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | |
| Caleb Jones | Marlies (TOR) | D | 28 | 1997-06-06 | USA | No | 194 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | 2026-03-08 | False | False | Pro & Farm | 1,500,000$ | 819,444$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | |
| Chase Bradley | Marlies (TOR) | LW | 23 | 2002-01-09 | USA | Yes | 180 Lbs | 5 ft11 | No | No | Prospect | No | No | 5 | 2026-03-08 | False | False | Pro & Farm | 900,000$ | 491,667$ | 0$ | 0$ | No | 900,000$ | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | 900,000$ | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | NHL Link | |
| Filip Roos | Marlies (TOR) | D | 26 | 1999-01-05 | SWE | Yes | 190 Lbs | 6 ft4 | No | No | Trade | 2025-11-14 | No | No | 5 | 2026-03-08 | False | False | Pro & Farm | 800,000$ | 437,037$ | 0$ | 0$ | No | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | NHL Link |
| Fredrik Karlstrom | Marlies (TOR) | C | 27 | 1998-01-12 | SWE | Yes | 200 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | 2026-03-08 | False | False | Pro & Farm | 775,000$ | 423,380$ | 0$ | 0$ | No | 775,000$ | 775,000$ | - | - | - | - | - | - | - | 775,000$ | 775,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | NHL Link | |
| German Rubtsov | Marlies (TOR) | C | 27 | 1998-06-27 | RUS | Yes | 178 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | 2026-03-08 | False | False | Pro & Farm | 775,000$ | 423,380$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Hugo Alnefelt | Marlies (TOR) | G | 24 | 2001-06-04 | SWE | Yes | 177 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | 2026-03-08 | False | False | Pro & Farm | 850,000$ | 464,352$ | 0$ | 0$ | No | 850,000$ | 850,000$ | - | - | - | - | - | - | - | 850,000$ | 850,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Hunter McKown | Marlies (TOR) | C | 23 | 2002-08-18 | USA | Yes | 205 Lbs | 6 ft1 | No | No | Trade | 2025-03-20 | No | No | 5 | 2026-03-08 | False | False | Pro & Farm | 900,000$ | 491,667$ | 0$ | 0$ | No | 900,000$ | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | 900,000$ | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | NHL Link |
| Jesse Ylonen | Marlies (TOR) | RW | 25 | 1999-10-03 | FIN | No | 200 Lbs | 6 ft1 | No | No | Trade | 2025-03-20 | No | No | 4 | 2026-03-08 | False | False | Pro & Farm | 900,000$ | 491,667$ | 0$ | 0$ | No | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | - | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | NHL Link |
| Joel Blomqvist | Marlies (TOR) | G | 23 | 2002-01-10 | FIN | Yes | 200 Lbs | 6 ft3 | No | No | Trade | 2025-09-18 | No | No | 4 | 2026-03-08 | False | False | Pro & Farm | 975,000$ | 532,639$ | 0$ | 0$ | No | 975,000$ | 975,000$ | 975,000$ | - | - | - | - | - | - | 975,000$ | 975,000$ | 975,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | NHL Link |
| Justin Richards | Marlies (TOR) | C | 27 | 1998-03-17 | USA | Yes | 190 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | 2026-03-08 | False | False | Pro & Farm | 775,000$ | 423,380$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Lucas Condotta | Marlies (TOR) | LW | 27 | 1997-11-06 | CAN | No | 217 Lbs | 6 ft1 | No | No | N/A | No | No | 5 | 2026-03-08 | False | False | Pro & Farm | 800,000$ | 437,037$ | 0$ | 0$ | No | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | 800,000$ | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | NHL Link | |
| Marc Staal | Marlies (TOR) | D | 38 | 1987-01-13 | CAN | No | 208 Lbs | 6 ft4 | No | No | Trade | 2025-06-08 | No | No | 1 | 2026-03-08 | False | False | Pro & Farm | 1,200,000$ | 655,556$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link |
| Mattias Norlinder | Marlies (TOR) | D | 25 | 2000-04-12 | SWE | Yes | 185 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 2 | 2026-03-08 | False | False | Pro & Farm | 900,000$ | 491,667$ | 0$ | 0$ | No | 900,000$ | - | - | - | - | - | - | - | - | 900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Michael Dipietro | Marlies (TOR) | G | 26 | 1999-06-09 | CAN | Yes | 200 Lbs | 6 ft0 | No | No | Trade | 2025-03-20 | No | No | 5 | 2026-03-08 | False | False | Pro & Farm | 900,000$ | 491,667$ | 0$ | 0$ | No | 900,000$ | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | 900,000$ | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | NHL Link |
| Oskar Lindblom | Marlies (TOR) | RW | 29 | 1996-08-15 | SWE | No | 191 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | 2026-03-08 | False | False | Pro & Farm | 2,800,000$ | 1,529,630$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Tim Washe | Marlies (TOR) | C | 24 | 2001-08-25 | USA | Yes | 215 Lbs | 6 ft3 | No | No | Trade | 2025-11-18 | No | No | 4 | 2026-03-08 | False | False | Pro & Farm | 3,000,000$ | 1,638,889$ | 0$ | 0$ | No | 3,000,000$ | 3,000,000$ | 3,000,000$ | - | - | - | - | - | - | 3,000,000$ | 3,000,000$ | 3,000,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | NHL Link |
| Tyler Benson | Marlies (TOR) | RW | 27 | 1998-03-15 | CAN | No | 190 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | 2026-03-08 | False | False | Pro & Farm | 850,000$ | 464,352$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Valtteri Puustinen | Marlies (TOR) | RW | 26 | 1999-06-04 | FIN | Yes | 183 Lbs | 5 ft9 | No | No | Trade | 2025-03-20 | No | No | 1 | 2026-03-08 | False | False | Pro & Farm | 900,000$ | 491,667$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 22 | 26.64 | 193 Lbs | 6 ft1 | 2.82 | 1,201,136$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 30 | 0 | 1 | 4 | |||
| 2 | 30 | 1 | 1 | 3 | |||
| 3 | 25 | 1 | 1 | 3 | |||
| 4 | 15 | 1 | 1 | 3 | |||
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 35 | 1 | 3 | 1 | |||
| 2 | Marc Staal | 35 | 1 | 3 | 1 | ||
| 3 | 30 | 1 | 4 | 0 | |||
| 4 | 0 | 0 | 5 | 0 | |||
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 55 | 0 | 0 | 5 | |||
| 2 | 45 | 0 | 0 | 5 | |||
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 55 | 0 | 4 | 1 | |||
| 2 | Marc Staal | 45 | 0 | 4 | 1 | ||
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 55 | 0 | 4 | 1 | ||
| 2 | 45 | 0 | 4 | 1 | ||
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 55 | 1 | 4 | 0 | ||
| 2 | Marc Staal | 45 | 1 | 4 | 0 | |
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 55 | 0 | 5 | 0 | 55 | 0 | 5 | 0 | |||
| 2 | 45 | 0 | 5 | 0 | Marc Staal | 45 | 0 | 5 | 0 | ||
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 55 | 0 | 2 | 3 | ||
| 2 | 45 | 0 | 2 | 3 | ||
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 55 | 0 | 3 | 2 | ||
| 2 | Marc Staal | 45 | 0 | 3 | 2 | |
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , , | , | |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , , | , | |
| Penalty Shots |
|---|
| , , , , |
| 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 | RI |
| 1 | Bandits | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 45 | 42 | 40 | 6 | 32 | 477 | 459 | 510 | 30 | 36 | 5 | 16 | 18 | 5 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 2 | Bayou | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 45 | 42 | 40 | 6 | 31 | 477 | 459 | 510 | 30 | 30 | 6 | 13 | 17 | 5 | 2 | 40.00% | 4 | 0 | 100.00% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 3 | Chiwawa | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 11 | 5 | 6 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 3 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 6 | 1.000 | 11 | 18 | 29 | 0 | 0 | 45 | 42 | 40 | 6 | 116 | 477 | 459 | 510 | 30 | 73 | 12 | 37 | 57 | 15 | 2 | 13.33% | 9 | 1 | 88.89% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 4 | CoolFm | 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 | 45 | 42 | 40 | 6 | 46 | 477 | 459 | 510 | 30 | 30 | 8 | 2 | 28 | 5 | 3 | 60.00% | 0 | 0 | 0% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 5 | Goons | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 11 | 17 | 0 | 1 | 45 | 42 | 40 | 6 | 72 | 477 | 459 | 510 | 30 | 42 | 12 | 39 | 47 | 8 | 1 | 12.50% | 10 | 0 | 100.00% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 6 | Grizzlies | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 45 | 42 | 40 | 6 | 89 | 477 | 459 | 510 | 30 | 80 | 24 | 27 | 49 | 8 | 2 | 25.00% | 11 | 2 | 81.82% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 7 | Hunters | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 8 | 15 | 23 | 0 | 0 | 45 | 42 | 40 | 6 | 48 | 477 | 459 | 510 | 30 | 33 | 8 | 8 | 31 | 7 | 3 | 42.86% | 2 | 0 | 100.00% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 8 | Husky | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 45 | 42 | 40 | 6 | 34 | 477 | 459 | 510 | 30 | 16 | 5 | 8 | 31 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 9 | Igloos | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 45 | 42 | 40 | 6 | 77 | 477 | 459 | 510 | 30 | 60 | 20 | 21 | 66 | 14 | 2 | 14.29% | 7 | 3 | 57.14% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 10 | Outlaws | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 13 | 15 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 9 | 14 | -5 | 4 | 0.500 | 13 | 21 | 34 | 0 | 0 | 45 | 42 | 40 | 6 | 131 | 477 | 459 | 510 | 30 | 147 | 48 | 52 | 108 | 26 | 4 | 15.38% | 25 | 4 | 84.00% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 11 | Predateurs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 45 | 42 | 40 | 6 | 75 | 477 | 459 | 510 | 30 | 57 | 20 | 16 | 39 | 7 | 2 | 28.57% | 8 | 1 | 87.50% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 12 | Raptors | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 45 | 42 | 40 | 6 | 27 | 477 | 459 | 510 | 30 | 40 | 12 | 14 | 18 | 4 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 13 | Sags | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 45 | 42 | 40 | 6 | 32 | 477 | 459 | 510 | 30 | 18 | 7 | 14 | 19 | 3 | 2 | 66.67% | 7 | 1 | 85.71% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 14 | Scorpions | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 8 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 8 | -4 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 45 | 42 | 40 | 6 | 67 | 477 | 459 | 510 | 30 | 60 | 16 | 16 | 46 | 6 | 1 | 16.67% | 8 | 3 | 62.50% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 15 | Smirnoff Ice | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 45 | 42 | 40 | 6 | 25 | 477 | 459 | 510 | 30 | 19 | 7 | 8 | 17 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 16 | Snowbirds | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 45 | 42 | 40 | 6 | 45 | 477 | 459 | 510 | 30 | 43 | 12 | 14 | 29 | 5 | 1 | 20.00% | 7 | 1 | 85.71% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 17 | Spartans | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 45 | 42 | 40 | 6 | 30 | 477 | 459 | 510 | 30 | 42 | 12 | 12 | 24 | 2 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 18 | Supreme | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 45 | 42 | 40 | 6 | 41 | 477 | 459 | 510 | 30 | 28 | 12 | 12 | 32 | 5 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 19 | Thugs | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 10 | 13 | -3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 6 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 1 | 0.250 | 10 | 18 | 28 | 1 | 0 | 45 | 42 | 40 | 6 | 86 | 477 | 459 | 510 | 30 | 77 | 22 | 14 | 47 | 14 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 20 | TigersCats | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 5 | 8 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 45 | 42 | 40 | 6 | 61 | 477 | 459 | 510 | 30 | 78 | 25 | 20 | 49 | 12 | 1 | 8.33% | 10 | 3 | 70.00% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 21 | Twins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 45 | 42 | 40 | 6 | 34 | 477 | 459 | 510 | 30 | 35 | 4 | 18 | 28 | 4 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 22 | Vandals | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 8 | 8 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 5 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 3 | 0.500 | 8 | 16 | 24 | 0 | 0 | 45 | 42 | 40 | 6 | 104 | 477 | 459 | 510 | 30 | 72 | 18 | 43 | 62 | 10 | 1 | 10.00% | 12 | 2 | 83.33% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 23 | Vipers | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 45 | 42 | 40 | 6 | 74 | 477 | 459 | 510 | 30 | 57 | 15 | 41 | 34 | 17 | 3 | 17.65% | 10 | 3 | 70.00% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 24 | Warriors | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 45 | 42 | 40 | 6 | 36 | 477 | 459 | 510 | 30 | 16 | 4 | 2 | 14 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| 25 | Wolves | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 45 | 42 | 40 | 6 | 51 | 477 | 459 | 510 | 30 | 90 | 17 | 30 | 46 | 7 | 0 | 0.00% | 15 | 4 | 73.33% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | |
| Total | 41 | 15 | 18 | 0 | 3 | 2 | 1 | 2 | 131 | 142 | -11 | 19 | 8 | 7 | 0 | 0 | 1 | 1 | 2 | 68 | 67 | 1 | 22 | 7 | 11 | 0 | 3 | 1 | 0 | 0 | 63 | 75 | -12 | 42 | 0.512 | 131 | 244 | 375 | 1 | 1 | 45 | 42 | 40 | 6 | 1464 | 477 | 459 | 510 | 30 | 1279 | 351 | 497 | 956 | 195 | 31 | 15.90% | 189 | 34 | 82.01% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | ||
| _Since Last GM Reset | 41 | 15 | 18 | 0 | 3 | 2 | 1 | 2 | 131 | 142 | -11 | 19 | 8 | 7 | 0 | 0 | 1 | 1 | 2 | 68 | 67 | 1 | 22 | 7 | 11 | 0 | 3 | 1 | 0 | 0 | 63 | 75 | -12 | 42 | 0.512 | 131 | 244 | 375 | 1 | 1 | 45 | 42 | 40 | 6 | 1464 | 477 | 459 | 510 | 30 | 1279 | 351 | 497 | 956 | 195 | 31 | 15.90% | 189 | 34 | 82.01% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | ||
| _Vs Conference | 14 | 6 | 5 | 0 | 2 | 1 | 0 | 0 | 45 | 42 | 3 | 7 | 4 | 2 | 0 | 0 | 1 | 0 | 0 | 27 | 22 | 5 | 7 | 2 | 3 | 0 | 2 | 0 | 0 | 0 | 18 | 20 | -2 | 17 | 0.607 | 45 | 88 | 133 | 0 | 1 | 45 | 42 | 40 | 6 | 520 | 477 | 459 | 510 | 30 | 410 | 118 | 151 | 350 | 65 | 13 | 20.00% | 56 | 10 | 82.14% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | ||
| _Vs Division | 6 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 16 | 20 | -4 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | -2 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 8 | -2 | 6 | 0.500 | 16 | 32 | 48 | 0 | 0 | 45 | 42 | 40 | 6 | 211 | 477 | 459 | 510 | 30 | 193 | 60 | 57 | 129 | 25 | 4 | 16.00% | 26 | 6 | 76.92% | 0 | 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% | 1001 | 718 | 995 | 288 | 484 | 239 | ||
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 41 | 42 | W1 | 131 | 244 | 375 | 1464 | 1279 | 351 | 497 | 956 | 1 | 1 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 41 | 15 | 18 | 3 | 2 | 1 | 2 | 131 | 142 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 19 | 8 | 7 | 0 | 1 | 1 | 2 | 68 | 67 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 22 | 7 | 11 | 3 | 1 | 0 | 0 | 63 | 75 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 6 | 2 | 1 | 1 | 0 | 0 |
| Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
|---|---|---|---|---|---|---|
| 195 | 31 | 15.90% | 189 | 34 | 82.01% | 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 |
|---|---|---|---|---|---|---|---|
| 477 | 459 | 510 | 30 | 45 | 42 | 40 | 6 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 749 | 1499 | 49.97% | 688 | 1386 | 49.64% | 310 | 656 | 47.26% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 1001 | 718 | 995 | 288 | 484 | 239 |
| 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 | 45 | 25 |
| Attendance | 37,580 | 13,173 |
| Attendance PCT | 98.89% | 69.33% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 22 | 2671 - 89.04% | 127,606$ | 2,424,510$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
| 2,331,616$ | 2,642,500$ | 2,642,500$ | 2,500,000$0$ |
| Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|
| 0$ | 1,197,335$ | 0 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 2,807,327$ | 59 | 47,616$ | 2,809,344$ |
| # | 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| # | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|