|
|
|
|
Full Scoreboard »» |
|
|
|
|
Full Scoreboard »» |
| Hartford Wolf Pack 10-12-4, 24pts · 14th in Eastern |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Wyatt Bongiovanni | 0 | C | 100.00 | 66 | 39 | 81 | 57 | 75 | 67 | 72 | 64 | 70 | 54 | 61 | 67 | 58 | 68 | 66 | 0 | 39 | 70 | 26 | 850,000$/2yrs | |||
Cedric Pare | 0 | C | 100.00 | 72 | 41 | 71 | 56 | 83 | 66 | 70 | 64 | 47 | 57 | 57 | 67 | 57 | 68 | 65 | 0 | 39 | 70 | 26 | 850,000$/1yrs | |||
Matthew Savoie | 0 | C | 100.00 | 64 | 38 | 83 | 61 | 67 | 67 | 69 | 59 | 44 | 62 | 59 | 62 | 60 | 59 | 58 | 0 | 38 | 70 | 21 | 918,333$/1yrs | |||
David Gustafsson | 19 | C | 100.00 | 63 | 37 | 96 | 55 | 84 | 71 | 77 | 57 | 78 | 58 | 58 | 61 | 57 | 66 | 66 | 0 | 38 | 69 | 25 | 800,000$/1yrs | |||
Roman Ahcan | 0 | LW | 100.00 | 69 | 39 | 76 | 54 | 64 | 65 | 70 | 64 | 37 | 54 | 57 | 67 | 55 | 68 | 66 | 0 | 35 | 69 | 26 | 800,000$/2yrs | |||
Nolan Burke (R) | 0 | C | 100.00 | 64 | 39 | 83 | 65 | 74 | 69 | 60 | 62 | 67 | 54 | 58 | 61 | 64 | 58 | 56 | 0 | 35 | 69 | 23 | 800,000$/2yrs | |||
Anthony Vincent | 0 | LW/RW | 100.00 | 81 | 41 | 56 | 52 | 74 | 65 | 67 | 66 | 41 | 53 | 54 | 70 | 54 | 71 | 67 | 0 | 35 | 69 | 28 | 800,000$/2yrs | |||
Matthew Maggio (R) | 0 | RW | 100.00 | 64 | 39 | 85 | 55 | 72 | 64 | 69 | 61 | 41 | 54 | 56 | 64 | 55 | 63 | 61 | 0 | 38 | 68 | 23 | 870,000$/1yrs | |||
Nathan Burke | 0 | LW/RW | 96.00 | 70 | 40 | 75 | 51 | 76 | 62 | 67 | 63 | 41 | 49 | 54 | 67 | 52 | 66 | 64 | 0 | 36 | 67 | 26 | 800,000$/1yrs | |||
Ben King (R) | 0 | C | 100.00 | 62 | 39 | 88 | 55 | 81 | 63 | 76 | 59 | 61 | 52 | 56 | 62 | 54 | 59 | 58 | 0 | 38 | 67 | 23 | 800,000$/1yrs | |||
Eetu Liukas (R) | 0 | LW | 100.00 | 69 | 40 | 75 | 53 | 83 | 62 | 67 | 61 | 47 | 52 | 53 | 65 | 52 | 63 | 60 | 0 | 38 | 67 | 23 | 867,500$/1yrs | |||
Max McCue (R) | 0 | LW | 100.00 | 99 | 45 | 50 | 53 | 73 | 62 | 65 | 61 | 50 | 53 | 51 | 64 | 52 | 61 | 56 | 0 | 35 | 67 | 22 | 800,000$/2yrs | |||
Jayden Grubbe (R) | 0 | C | 100.00 | 70 | 40 | 74 | 54 | 81 | 62 | 67 | 61 | 63 | 53 | 52 | 64 | 53 | 61 | 58 | 0 | 27 | 66 | 22 | 867,500$/1yrs | |||
Kevin Korchinski | 0 | D | 100.00 | 58 | 32 | 89 | 57 | 74 | 88 | 79 | 51 | 30 | 59 | 58 | 58 | 55 | 59 | 58 | 0 | 38 | 69 | 21 | 918,333$/1yrs | |||
Matt Hellickson | 0 | D | 100.00 | 74 | 39 | 77 | 58 | 72 | 67 | 60 | 57 | 30 | 54 | 47 | 66 | 59 | 66 | 69 | 0 | 36 | 69 | 27 | 800,000$/2yrs | |||
Damien Carfagna | 0 | D | 99.00 | 54 | 38 | 94 | 56 | 72 | 66 | 90 | 55 | 30 | 59 | 55 | 66 | 57 | 61 | 60 | 0 | 33 | 69 | 22 | 862,500$/2yrs | |||
Bode Wilde | 52 | D | 100.00 | 56 | 38 | 92 | 60 | 79 | 66 | 60 | 57 | 30 | 54 | 46 | 64 | 58 | 61 | 60 | 0 | 38 | 68 | 25 | 800,000$/2yrs | |||
David Gucciardi | 0 | D | 100.00 | 82 | 41 | 62 | 53 | 79 | 65 | 89 | 53 | 30 | 55 | 55 | 67 | 55 | 61 | 57 | 0 | 43 | 68 | 23 | 855,000$/2yrs | |||
Zach Metsa | 0 | D | 100.00 | 61 | 38 | 89 | 49 | 71 | 63 | 74 | 48 | 30 | 54 | 51 | 67 | 52 | 66 | 65 | 0 | 42 | 66 | 27 | 775,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Milos Kelemen | 0 | LW/RW | 100.00 | 82 | 43 | 55 | 57 | 86 | 67 | 68 | 64 | 37 | 57 | 58 | 67 | 58 | 68 | 64 | 0 | 20 | 71 | 26 | 900,000$/1yrs | |||
Dominik Bokk | 26 | LW/RW | 100.00 | 61 | 38 | 89 | 64 | 73 | 63 | 60 | 61 | 65 | 57 | 56 | 62 | 64 | 61 | 60 | 0 | 20 | 69 | 25 | ||||
Bobby Trivigno | 0 | LW | 100.00 | 66 | 38 | 81 | 52 | 60 | 62 | 84 | 62 | 36 | 54 | 50 | 66 | 52 | 64 | 62 | 0 | 20 | 66 | 26 | 775,000$/1yrs | |||
Mitchell Russell | 0 | C/RW | 100.00 | 55 | 38 | 99 | 53 | 75 | 61 | 65 | 61 | 72 | 45 | 58 | 64 | 52 | 61 | 61 | 0 | 20 | 66 | 24 | 800,000$/2yrs | |||
Ville Petman | 0 | C/LW | 100.00 | 61 | 38 | 88 | 52 | 69 | 61 | 87 | 62 | 73 | 52 | 50 | 65 | 51 | 62 | 61 | 0 | 20 | 66 | 25 | 850,000$/2yrs | |||
Ryder Rolston (R) | 0 | C | 100.00 | 56 | 38 | 97 | 52 | 76 | 61 | 76 | 61 | 63 | 49 | 52 | 64 | 51 | 61 | 60 | 0 | 20 | 65 | 24 | 895,000$/1yrs | |||
Ryan Merkley (R) | 0 | D | 100.00 | 77 | 41 | 63 | 50 | 73 | 61 | 75 | 47 | 30 | 55 | 47 | 65 | 51 | 62 | 59 | 0 | 20 | 66 | 25 | 900,000$/2yrs | |||
Joe Fleming | 0 | D | 100.00 | 99 | 46 | 50 | 47 | 86 | 61 | 65 | 46 | 30 | 52 | 50 | 64 | 51 | 61 | 56 | 0 | 19 | 65 | 22 | 836,666$/1yrs | |||
Calle Sjalin | 0 | D | 100.00 | 65 | 39 | 82 | 44 | 72 | 60 | 77 | 44 | 30 | 49 | 49 | 66 | 49 | 64 | 62 | 0 | 20 | 63 | 26 | 800,000$/2yrs | |||
Zach Uens (R) | 0 | D | 100.00 | 76 | 40 | 64 | 44 | 72 | 58 | 69 | 43 | 30 | 49 | 47 | 64 | 48 | 61 | 57 | 0 | 20 | 62 | 24 | 800,000$/2yrs | |||
Kim Nousiainen (R) | 0 | D | 100.00 | 62 | 38 | 88 | 45 | 66 | 59 | 81 | 44 | 30 | 50 | 46 | 65 | 48 | 62 | 61 | 0 | 20 | 62 | 25 | 850,000$/2yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Gabriel Carriere | 0 | 97.00 | 69 | 61 | 68 | 75 | 71 | 75 | 71 | 69 | 75 | 73 | 72 | 67 | 66 | 0 | 31 | 75 | 25 | 795,000$/1yrs |
Jesper Vikman | 0 | 100.00 | 70 | 61 | 68 | 86 | 58 | 73 | 71 | 70 | 73 | 73 | 71 | 64 | 62 | 0 | 42 | 74 | 23 | 858,000$/1yrs |
| Scratches | ||||||||||||||||||||
Nolan Lalonde | 0 | 100.00 | 71 | 80 | 66 | 74 | 65 | 69 | 69 | 71 | 69 | 71 | 70 | 55 | 56 | 0 | 36 | 73 | 21 | 800,000$/1yrs |
Jiri Patera | 0 | 100.00 | 60 | 62 | 66 | 84 | 56 | 61 | 60 | 60 | 61 | 61 | 60 | 68 | 71 | 0 | 29 | 68 | 26 | 1,000,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jessica Campbell | 65 | 68 | 75 | 70 | 53 | 48 | 84 | CAN | 33 | 4 | 500,000$ |
| General Manager |
|---|
| 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 | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Matthew Maggio | RW | 26 | 8 | 17 | 25 | 2 | 0 | 0 | 15 | 80 | 26 | 61 | 10.00% | 2 | 19.43 | 3 | 4 | 7 | 91 | 0 | 0 | 0 | 0 | 2 | 0 | 34.69% | 49 | 0 | 0 | 0 | 0 | 0.99 | 1 | 4 | ||
| 2 | Nathan Burke | LW/RW | 26 | 11 | 7 | 18 | 2 | 2 | 0 | 48 | 85 | 20 | 56 | 12.94% | 8 | 21.66 | 4 | 2 | 6 | 89 | 0 | 0 | 0 | 62 | 0 | 1 | 28.57% | 49 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
| 3 | Matthew Savoie | C | 26 | 8 | 9 | 17 | -2 | 0 | 0 | 37 | 68 | 22 | 66 | 11.76% | 3 | 16.74 | 1 | 3 | 4 | 49 | 0 | 0 | 0 | 0 | 0 | 0 | 36.59% | 399 | 0 | 0 | 0 | 0 | 0.78 | 0 | 2 | ||
| 4 | Cedric Pare | C | 26 | 7 | 9 | 16 | -4 | 19 | 5 | 68 | 91 | 15 | 73 | 7.69% | 6 | 20.04 | 2 | 2 | 4 | 81 | 0 | 0 | 0 | 31 | 0 | 1 | 48.68% | 682 | 0 | 0 | 0 | 0 | 0.61 | 0 | 4 | ||
| 5 | Damien Carfagna | D | 26 | 2 | 14 | 16 | -4 | 18 | 0 | 32 | 40 | 13 | 36 | 5.00% | 43 | 23.58 | 1 | 2 | 3 | 90 | 0 | 0 | 0 | 51 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
| 6 | Bode Wilde | D | 26 | 2 | 13 | 15 | 2 | 0 | 0 | 2 | 29 | 9 | 24 | 6.90% | 33 | 21.17 | 1 | 4 | 5 | 81 | 0 | 0 | 0 | 55 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
| 7 | Wyatt Bongiovanni | C | 25 | 4 | 11 | 15 | 6 | 4 | 0 | 19 | 65 | 7 | 30 | 6.15% | 1 | 10.20 | 1 | 2 | 3 | 41 | 0 | 0 | 0 | 28 | 1 | 1 | 54.26% | 352 | 0 | 0 | 0 | 0 | 1.18 | 0 | 0 | ||
| 8 | Kevin Korchinski | D | 26 | 2 | 10 | 12 | -3 | 10 | 0 | 56 | 48 | 19 | 17 | 4.17% | 28 | 24.68 | 0 | 4 | 4 | 98 | 0 | 0 | 0 | 61 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
| 9 | Anthony Vincent | LW/RW | 22 | 4 | 7 | 11 | -2 | 6 | 0 | 49 | 38 | 16 | 34 | 10.53% | 6 | 12.46 | 0 | 2 | 2 | 7 | 0 | 0 | 0 | 1 | 0 | 0 | 39.30% | 285 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | ||
| 10 | David Gucciardi | D | 26 | 5 | 6 | 11 | 1 | 36 | 0 | 73 | 41 | 11 | 27 | 12.20% | 36 | 20.39 | 2 | 2 | 4 | 79 | 0 | 0 | 0 | 40 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
| 11 | Nolan Burke | C | 26 | 4 | 6 | 10 | -2 | 12 | 0 | 41 | 69 | 9 | 44 | 5.80% | 5 | 19.46 | 1 | 1 | 2 | 62 | 0 | 0 | 0 | 44 | 1 | 1 | 46.40% | 125 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
| 12 | Eetu Liukas | LW | 26 | 4 | 6 | 10 | -5 | 12 | 0 | 38 | 58 | 22 | 39 | 6.90% | 5 | 19.85 | 0 | 3 | 3 | 80 | 0 | 0 | 0 | 35 | 1 | 0 | 54.35% | 46 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
| 13 | Zach Metsa | D | 20 | 3 | 4 | 7 | 1 | 4 | 0 | 5 | 11 | 2 | 8 | 27.27% | 11 | 11.58 | 1 | 0 | 1 | 9 | 0 | 0 | 0 | 13 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | ||
| 14 | David Gustafsson | C | 26 | 3 | 1 | 4 | 0 | 0 | 0 | 15 | 43 | 5 | 23 | 6.98% | 6 | 12.67 | 1 | 0 | 1 | 11 | 0 | 0 | 0 | 18 | 1 | 0 | 56.00% | 75 | 0 | 0 | 0 | 0 | 0.24 | 0 | 1 | ||
| 15 | Roman Ahcan | LW | 22 | 2 | 2 | 4 | -1 | 10 | 0 | 31 | 49 | 18 | 28 | 4.08% | 2 | 17.24 | 0 | 1 | 1 | 10 | 0 | 0 | 0 | 14 | 0 | 0 | 43.33% | 30 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | ||
| 16 | Matt Hellickson | D | 22 | 1 | 3 | 4 | -1 | 11 | 5 | 41 | 10 | 9 | 3 | 10.00% | 13 | 15.24 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | ||
| 17 | Ben King | C | 26 | 2 | 2 | 4 | -1 | 2 | 0 | 16 | 30 | 6 | 14 | 6.67% | 1 | 6.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 51.15% | 217 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
| 18 | Mitchell Russell | C/RW | 4 | 0 | 2 | 2 | -2 | 0 | 0 | 0 | 13 | 1 | 6 | 0.00% | 1 | 16.35 | 0 | 1 | 1 | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 8 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
| 19 | Jayden Grubbe | C | 20 | 1 | 0 | 1 | 0 | 4 | 0 | 2 | 2 | 2 | 4 | 50.00% | 0 | 2.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
| 20 | Zach Uens | D | 4 | 0 | 0 | 0 | 0 | 12 | 0 | 5 | 1 | 0 | 1 | 0.00% | 1 | 13.72 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 21 | Ryder Rolston | C | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 1 | 0 | 0.00% | 1 | 7.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 22 | Max McCue | LW | 22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 0.03 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 477 | 73 | 129 | 202 | -13 | 162 | 10 | 595 | 875 | 233 | 595 | 8.34% | 212 | 15.82 | 18 | 33 | 51 | 906 | 0 | 0 | 0 | 465 | 9 | 5 | 46.03% | 2320 | 0 | 0 | 0 | 0 | 0.54 | 1 | 11 |
| 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 | Gabriel Carriere | 20 | 6 | 10 | 4 | 0.907 | 2.93 | 1187 | 2 | 0 | 58 | 627 | 0 | 0 | 1 | 0.667 | 12 | 20 | 0 | 2 | 1 | 0 | |
| 2 | Jesper Vikman | 7 | 4 | 2 | 0 | 0.903 | 2.92 | 390 | 0 | 0 | 19 | 195 | 0 | 0 | 0 | 0.000 | 0 | 6 | 16 | 1 | 0 | 0 | |
| Team Total or Average | 27 | 10 | 12 | 4 | 0.906 | 2.93 | 1577 | 2 | 0 | 77 | 822 | 0 | 0 | 1 | 0.667 | 12 | 26 | 16 | 3 | 1 | 0 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Anthony Vincent | LW/RW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Ben King | C | 23 | 800,000$ | 800,000$ | RFA | ||||||
| Bobby Trivigno | LW | 26 | 775,000$ | 775,000$ | |||||||
| Bode Wilde | D | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Calle Sjalin | D | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Cedric Pare | C | 26 | 850,000$ | 850,000$ | |||||||
| Damien Carfagna | D | 22 | 862,500$ | 862,500$ | 862,500$ | RFA | |||||
| David Gucciardi | D | 23 | 855,000$ | 855,000$ | 855,000$ | ||||||
| David Gustafsson | C | 25 | 800,000$ | 800,000$ | |||||||
| Dominik Bokk | LW/RW | 25 | 0$ | ||||||||
| Eetu Liukas | LW | 23 | 867,500$ | 867,500$ | RFA | ||||||
| Gabriel Carriere | G | 25 | 795,000$ | 795,000$ | |||||||
| Jayden Grubbe | C | 22 | 867,500$ | 867,500$ | RFA | ||||||
| Jesper Vikman | G | 23 | 858,000$ | 858,000$ | RFA | ||||||
| Jiri Patera | G | 26 | 1,000,000$ | 1,000,000$ | |||||||
| Joe Fleming | D | 22 | 836,666$ | 836,666$ | RFA | ||||||
| Kevin Korchinski | D | 21 | 918,333$ | 918,333$ | RFA | ||||||
| Kim Nousiainen | D | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
| Matt Hellickson | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Matthew Maggio | RW | 23 | 870,000$ | 870,000$ | RFA | ||||||
| Matthew Savoie | C | 21 | 918,333$ | 918,333$ | RFA | ||||||
| Max McCue | LW | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
| Milos Kelemen | LW/RW | 26 | 900,000$ | 900,000$ | |||||||
| Mitchell Russell | C/RW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Nathan Burke | LW/RW | 26 | 800,000$ | 800,000$ | |||||||
| Nolan Burke | C | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Nolan Lalonde | G | 21 | 800,000$ | 800,000$ | RFA | ||||||
| Roman Ahcan | LW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Ryan Merkley | D | 25 | 900,000$ | 900,000$ | 900,000$ | ||||||
| Ryder Rolston | C | 24 | 895,000$ | 895,000$ | |||||||
| Ville Petman | C/LW | 25 | 850,000$ | 850,000$ | 850,000$ | ||||||
| Wyatt Bongiovanni | C | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
| Zach Metsa | D | 27 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
| Zach Uens | D | 24 | 800,000$ | 800,000$ | 800,000$ |
| Forward Lines | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
|
| |||||
|
|
| |||||
|
|
| |||||
| Defensive Pairings | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
|
| ||||||
|
| ||||||
| 1st Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
| ||||||
| 2nd Power Play Unit | |||||||
|---|---|---|---|---|---|---|---|
|
|
| |||||
|
| ||||||
| Goalies | |||||||
|---|---|---|---|---|---|---|---|
|
| ||||||
| 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 |
| # | VS Team | 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 | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 29 | 26 | 18 | 2 | 40 | 273 | 296 | 303 | 22 | 29 | 8 | 8 | 25 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 57.1% | 12.5% | 89.7% | 102.2 | FUN | |
| 2 | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 7 | 9 | -2 | 3 | 0.500 | 7 | 12 | 19 | 1 | 0 | 29 | 26 | 18 | 2 | 107 | 273 | 296 | 303 | 22 | 87 | 25 | 20 | 63 | 22 | 3 | 13.64% | 9 | 3 | 66.67% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 40.0% | 6.5% | 89.7% | 96.2 | Unlucky | |
| 3 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 6 | -2 | 1 | 0.250 | 4 | 6 | 10 | 0 | 0 | 29 | 26 | 18 | 2 | 71 | 273 | 296 | 303 | 22 | 77 | 24 | 16 | 35 | 6 | 1 | 16.67% | 7 | 2 | 71.43% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 42.9% | 5.6% | 92.2% | 97.8 | DULL | |
| 4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 29 | 26 | 18 | 2 | 58 | 273 | 296 | 303 | 22 | 61 | 15 | 8 | 44 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 37.5% | 5.2% | 90.2% | 95.3 | Unlucky | |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 29 | 26 | 18 | 2 | 41 | 273 | 296 | 303 | 22 | 38 | 13 | 2 | 26 | 6 | 2 | 33.33% | 1 | 0 | 100.00% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 66.7% | 9.8% | 97.4% | 107.1 | LUCKY | |
| 6 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 7 | 7 | 0 | 3 | 0.750 | 7 | 12 | 19 | 0 | 0 | 29 | 26 | 18 | 2 | 63 | 273 | 296 | 303 | 22 | 50 | 19 | 13 | 68 | 8 | 1 | 12.50% | 3 | 3 | 0.00% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 60.0% | 11.1% | 86.0% | 97.1 | FUN | |
| 7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 29 | 26 | 18 | 2 | 42 | 273 | 296 | 303 | 22 | 32 | 3 | 6 | 20 | 6 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 0.0% | 0.0% | 93.8% | 93.8 | DULL | |
| 8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 29 | 26 | 18 | 2 | 22 | 273 | 296 | 303 | 22 | 38 | 7 | 8 | 24 | 0 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 33.3% | 9.1% | 89.5% | 98.6 | FUN | |
| 9 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 2 | 0.333 | 11 | 20 | 31 | 0 | 0 | 29 | 26 | 18 | 2 | 106 | 273 | 296 | 303 | 22 | 115 | 21 | 33 | 60 | 18 | 4 | 22.22% | 13 | 6 | 53.85% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 58.3% | 10.4% | 90.4% | 100.8 | FUN | |
| 10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 29 | 26 | 18 | 2 | 35 | 273 | 296 | 303 | 22 | 33 | 9 | 6 | 27 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 66.7% | 8.6% | 97.0% | 105.5 | DULL | |
| 11 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 29 | 26 | 18 | 2 | 61 | 273 | 296 | 303 | 22 | 57 | 16 | 10 | 49 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 61.5% | 13.1% | 91.2% | 104.3 | LUCKY | |
| 12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 29 | 26 | 18 | 2 | 27 | 273 | 296 | 303 | 22 | 37 | 4 | 8 | 28 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 33.3% | 7.4% | 86.5% | 93.9 | Unlucky | |
| 13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 29 | 26 | 18 | 2 | 27 | 273 | 296 | 303 | 22 | 39 | 14 | 12 | 15 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 28.6% | 11.1% | 84.6% | 95.7 | FUN | |
| 14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 29 | 26 | 18 | 2 | 86 | 273 | 296 | 303 | 22 | 54 | 15 | 11 | 45 | 10 | 3 | 30.00% | 3 | 0 | 100.00% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 41.7% | 9.3% | 87.0% | 96.3 | FUN | |
| 15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 29 | 26 | 18 | 2 | 31 | 273 | 296 | 303 | 22 | 30 | 12 | 6 | 25 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 50.0% | 3.2% | 93.3% | 96.6 | DULL | |
| 16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 29 | 26 | 18 | 2 | 34 | 273 | 296 | 303 | 22 | 19 | 7 | 2 | 29 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 57.1% | 14.7% | 84.2% | 98.9 | FUN | |
| 17 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 29 | 26 | 18 | 2 | 32 | 273 | 296 | 303 | 22 | 27 | 11 | 4 | 23 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 50.0% | 6.3% | 88.9% | 95.1 | Unlucky | |
| _Vs Division | 5 | 3 | 6 | 0 | 1 | 0 | 1 | 3 | 14 | 17 | -3 | 13 | 1.300 | 14 | 25 | 39 | 0 | 0 | 29 | 26 | 18 | 2 | 152 | 273 | 296 | 303 | 22 | 185 | 47 | 36 | 120 | 14 | 4 | 28.57% | 17 | 2 | 88.24% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 40.0% | 9.2% | 90.8% | 100.0 | FUN | |
| _Vs Conference | 17 | 4 | 8 | 0 | 1 | 0 | 1 | 3 | 51 | 57 | -6 | 15 | 0.441 | 51 | 89 | 140 | 1 | 0 | 29 | 26 | 18 | 2 | 585 | 273 | 296 | 303 | 22 | 568 | 151 | 129 | 391 | 78 | 16 | 20.51% | 52 | 16 | 69.23% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 46.1% | 8.7% | 90.0% | 98.7 | Unlucky | |
| _Since Last GM Reset | 26 | 8 | 12 | 0 | 1 | 1 | 1 | 3 | 75 | 81 | -6 | 24 | 0.462 | 75 | 131 | 206 | 1 | 0 | 29 | 26 | 18 | 2 | 883 | 273 | 296 | 303 | 22 | 823 | 223 | 173 | 606 | 105 | 18 | 17.14% | 72 | 19 | 73.61% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 47.9% | 8.5% | 90.2% | 98.7 | Unlucky | |
| Total | 26 | 8 | 12 | 0 | 1 | 1 | 1 | 3 | 75 | 81 | -6 | 24 | 0.462 | 75 | 131 | 206 | 1 | 0 | 29 | 26 | 18 | 2 | 883 | 273 | 296 | 303 | 22 | 823 | 223 | 173 | 606 | 105 | 18 | 17.14% | 72 | 19 | 73.61% | 0 | 441 | 976 | 45.18% | 444 | 905 | 49.06% | 183 | 401 | 45.64% | 624 | 415 | 596 | 206 | 359 | 176 | 47.9% | 8.5% | 90.2% | 98.7 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 13 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 976 |
| Neutral Zone Start | 401 |
| Defensive Zone Start | 905 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1068 |
| Faceoffs Lost | 1214 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.5 | 9.57 |
| 2nd Period | 21.9 | 20.31 |
| 3rd Period | 33.5 | 30.68 |
| Overtime | 34.4 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 2.1 | 1.65 |
| 3rd Period | 2.8 | 2.67 |
| Overtime | 2.9 | 2.83 |
| Even Strenght Goal | 56 |
|---|---|
| PP Goal | 18 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 7 | 3 |
| Lost | 4 | 8 |
| Overtime Lost | 2 | 2 |
| PP Attempt | 105 |
|---|---|
| PP Goal | 18 |
| PK Attempt | 72 |
| PK Goal Against | 19 |
| Home | |
|---|---|
| Shots For | 34.0 |
| Shots Against | 31.7 |
| Goals For | 2.9 |
| Goals Against | 3.1 |
| Hits | 23.3 |
| Shots Blocked | 8.6 |
| Pim | 6.7 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Thunderbirds4,Wolf Pack6 | RECAP | |||||||||||
| 2025-10-13 | @ | Phantoms4,Wolf Pack2 | RECAP | |||||||||||
| 2025-10-16 | @ | Wolf Pack2,Thunderbirds3 | RECAP | |||||||||||
| 2025-10-18 | @ | Islanders2,Wolf Pack1 | RECAP | |||||||||||
| 2025-10-21 | @ | Bruins1,Wolf Pack3 | RECAP | |||||||||||
| 2025-10-24 | @ | Wolf Pack4,Bears3 (OT) | RECAP | |||||||||||
| 2025-10-25 | @ | Wranglers3,Wolf Pack5 | RECAP | |||||||||||
| 2025-10-28 | @ | Wolf Pack3,Penguins4 | RECAP | |||||||||||
| 2025-10-29 | @ | Wolf Pack2,Checkers5 | RECAP | |||||||||||
| 2025-10-30 | @ | Penguins3,Wolf Pack5 | RECAP | |||||||||||
| 2025-11-01 | @ | Wolf Pack1,Eagles3 | RECAP | |||||||||||
| 2025-11-03 | @ | Islanders4,Wolf Pack3 (SO) | RECAP | |||||||||||
| 2025-11-09 | @ | Bears4,Wolf Pack3 (SO) | RECAP | |||||||||||
| 2025-11-11 | @ | Wolf Pack0,Admirals2 | RECAP | |||||||||||
| 2025-11-14 | @ | IceHogs2,Wolf Pack3 | RECAP | |||||||||||
| 2025-11-16 | @ | Wolf Pack5,IceHogs3 | RECAP | |||||||||||
| 2025-11-18 | @ | Wolf Pack3,Marlies6 | RECAP | |||||||||||
| 2025-11-19 | @ | Crunch4,Wolf Pack2 | RECAP | |||||||||||
| 2025-11-22 | @ | Wolf Pack3,Thunderbirds4 | RECAP | |||||||||||
| 2025-11-24 | @ | Wolf Pack3,Phantoms4 (SO) | RECAP | |||||||||||
| 2025-11-26 | @ | Griffins1,Wolf Pack4 | RECAP | |||||||||||
| 2025-11-29 | @ | Wolf Pack5,Silver Knights3 | RECAP | |||||||||||
| 2025-12-01 | @ | Phantoms1,Wolf Pack2 (SO) | RECAP | |||||||||||
| 2025-12-03 | @ | Wolf Pack2,Firebirds3 (OT) | RECAP | |||||||||||
| 2025-12-05 | @ | Barracuda2,Wolf Pack1 | RECAP | |||||||||||
| 2025-12-08 | @ | Wolf Pack2,Eagles3 | RECAP | |||||||||||
| 2025-12-12 | @ | |||||||||||||
| 2025-12-14 | @ | |||||||||||||
| 2025-12-17 | @ | |||||||||||||
| 2025-12-20 | @ | |||||||||||||
| 2025-12-21 | @ | |||||||||||||
| 2025-12-24 | @ | |||||||||||||
| 2025-12-26 | @ | |||||||||||||
| 2025-12-28 | @ | |||||||||||||
| 2025-12-29 | @ | |||||||||||||
| 2025-12-31 | @ | |||||||||||||
| 2026-01-03 | @ | |||||||||||||
| 2026-01-05 | @ | |||||||||||||
| 2026-01-08 | @ | |||||||||||||
| 2026-01-09 | @ | |||||||||||||
| 2026-01-12 | @ | |||||||||||||
| 2026-01-14 | @ | |||||||||||||
| 2026-01-16 | @ | |||||||||||||
| 2026-01-18 | @ | |||||||||||||
| 2026-01-20 | @ | |||||||||||||
| 2026-01-22 | @ | |||||||||||||
| 2026-01-27 | @ | |||||||||||||
| 2026-01-31 | @ | |||||||||||||
| 2026-02-02 | @ | |||||||||||||
| 2026-02-03 | @ | |||||||||||||
| 2026-02-06 | @ | |||||||||||||
| 2026-02-08 | @ | |||||||||||||
| 2026-02-13 | @ | |||||||||||||
| 2026-02-17 | @ | |||||||||||||
| 2026-02-19 | @ | |||||||||||||
| 2026-02-22 | @ | |||||||||||||
| 2026-02-24 | @ | |||||||||||||
| 2026-02-28 | @ | |||||||||||||
| 2026-03-04 | @ | |||||||||||||
| 2026-03-05 | @ | |||||||||||||
| 2026-03-07 | @ | |||||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-09 | @ | |||||||||||||
| 2026-03-11 | @ | |||||||||||||
| 2026-03-12 | @ | |||||||||||||
| 2026-03-13 | @ | |||||||||||||
| 2026-03-14 | @ | |||||||||||||
| 2026-03-19 | @ | |||||||||||||
| 2026-03-21 | @ | |||||||||||||
| 2026-03-24 | @ | |||||||||||||
| 2026-03-25 | @ | |||||||||||||
| 2026-03-31 | @ | |||||||||||||
| 2026-04-03 | @ | |||||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,261,883$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Hartford | |
| Capacity | 3000 | |
| Season Ticket Holders | 0% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 0$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
![]() |
![]() |
![]() |
![]() |
![]() |
|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 23 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,261,883$ | 2,261,883$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 979,322$ | 12,566$ | 804,309$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 129 | 15,344$ | 1,795,248$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,795,248$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
|---|---|---|
|
|
|
|
| Defense #1 | Defense #2 | Goalie |
|---|---|---|
|
|
|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||

