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Full Scoreboard »» |
| Hartford Wolf Pack 20-25-6, 46pts · 15th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Matthew Savoie | 0 | C | 99.00 | 55 | 32 | 90 | 66 | 67 | 77 | 90 | 59 | 61 | 61 | 66 | 68 | 62 | 61 | 60 | 0 | 38 | 72 | 22 | 918,333$/1yrs | |||
Lukas Reichel | 0 | C/LW | 99.00 | 58 | 32 | 92 | 62 | 67 | 75 | 84 | 58 | 73 | 63 | 62 | 56 | 60 | 64 | 63 | 0 | 14 | 71 | 23 | 1,200,000$/1yrs | |||
Wyatt Bongiovanni | 0 | C | 100.00 | 66 | 39 | 81 | 58 | 75 | 67 | 85 | 62 | 65 | 55 | 62 | 65 | 59 | 65 | 63 | 0 | 39 | 70 | 26 | 850,000$/2yrs | |||
Cedric Pare | 0 | C | 100.00 | 72 | 41 | 71 | 56 | 86 | 65 | 85 | 62 | 68 | 56 | 57 | 65 | 56 | 64 | 62 | 0 | 39 | 69 | 27 | 850,000$/1yrs | |||
Roman Ahcan | 0 | LW | 100.00 | 69 | 38 | 76 | 56 | 64 | 65 | 87 | 62 | 71 | 55 | 58 | 65 | 57 | 64 | 62 | 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 | |||
David Gustafsson | 19 | C | 100.00 | 62 | 40 | 93 | 55 | 84 | 70 | 73 | 56 | 77 | 59 | 57 | 56 | 56 | 67 | 67 | 0 | 38 | 68 | 25 | 800,000$/1yrs | |||
Anthony Vincent | 0 | LW/RW | 100.00 | 79 | 40 | 59 | 53 | 68 | 64 | 88 | 64 | 43 | 53 | 54 | 68 | 54 | 68 | 64 | 0 | 35 | 68 | 28 | 800,000$/2yrs | |||
Ryder Rolston (R) | 0 | C | 100.00 | 59 | 38 | 92 | 58 | 76 | 65 | 86 | 60 | 63 | 57 | 57 | 63 | 57 | 61 | 60 | 0 | 17 | 68 | 24 | 895,000$/1yrs | |||
Ben King (R) | 0 | C | 100.00 | 71 | 41 | 72 | 57 | 81 | 64 | 81 | 59 | 63 | 56 | 56 | 62 | 56 | 59 | 56 | 0 | 39 | 68 | 23 | 800,000$/1yrs | |||
Nathan Burke | 0 | LW/RW | 100.00 | 70 | 40 | 75 | 51 | 76 | 62 | 67 | 63 | 41 | 49 | 54 | 67 | 52 | 66 | 64 | 0 | 32 | 67 | 27 | 800,000$/1yrs | |||
Max McCue (R) | 0 | LW | 100.00 | 99 | 45 | 50 | 54 | 73 | 61 | 78 | 59 | 35 | 54 | 51 | 62 | 53 | 57 | 52 | 0 | 30 | 66 | 22 | 800,000$/2yrs | |||
Zach Metsa | 0 | D | 100.00 | 59 | 38 | 92 | 60 | 71 | 69 | 85 | 56 | 30 | 67 | 54 | 67 | 60 | 66 | 66 | 0 | 42 | 73 | 27 | 775,000$/2yrs | |||
Matt Hellickson | 0 | D | 100.00 | 74 | 39 | 77 | 58 | 72 | 67 | 60 | 57 | 30 | 54 | 47 | 66 | 59 | 66 | 69 | 0 | 36 | 69 | 27 | 800,000$/2yrs | |||
Bode Wilde | 52 | D | 100.00 | 56 | 38 | 92 | 60 | 79 | 66 | 60 | 57 | 30 | 54 | 46 | 64 | 58 | 61 | 60 | 0 | 38 | 68 | 26 | 800,000$/2yrs | |||
David Gucciardi | 0 | D | 100.00 | 83 | 42 | 53 | 51 | 79 | 64 | 70 | 50 | 30 | 57 | 53 | 63 | 55 | 59 | 54 | 0 | 43 | 67 | 23 | 855,000$/2yrs | |||
Damien Carfagna | 0 | D | 100.00 | 61 | 38 | 90 | 51 | 72 | 63 | 70 | 50 | 30 | 57 | 53 | 63 | 55 | 59 | 58 | 0 | 33 | 67 | 23 | 862,500$/2yrs | |||
Kevin Korchinski | 0 | D | 100.00 | 54 | 32 | 83 | 55 | 74 | 83 | 68 | 50 | 30 | 56 | 58 | 54 | 54 | 60 | 58 | 0 | 38 | 66 | 21 | 918,333$/1yrs | |||
| 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$/1yrs | |||
Dominik Bokk | 26 | LW/RW | 100.00 | 61 | 38 | 89 | 64 | 73 | 63 | 60 | 61 | 65 | 57 | 56 | 62 | 64 | 61 | 60 | 0 | 20 | 69 | 26 | ||||
Matthew Maggio (R) | 0 | RW | 100.00 | 64 | 38 | 84 | 58 | 71 | 64 | 86 | 59 | 45 | 59 | 54 | 62 | 57 | 59 | 58 | 0 | 34 | 68 | 23 | 870,000$/1yrs | |||
Shane Lachance (R) | 0 | LW | 100.00 | 60 | 39 | 91 | 57 | 80 | 63 | 71 | 58 | 41 | 57 | 53 | 61 | 55 | 57 | 56 | 0 | 25 | 67 | 22 | ||||
Bobby Trivigno | 0 | LW | 100.00 | 66 | 38 | 81 | 52 | 60 | 62 | 84 | 62 | 36 | 54 | 50 | 66 | 52 | 64 | 62 | 0 | 20 | 66 | 27 | 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 | 26 | 850,000$/2yrs | |||
Jayden Grubbe (R) | 0 | C | 100.00 | 69 | 40 | 76 | 55 | 82 | 62 | 80 | 58 | 66 | 56 | 51 | 62 | 53 | 57 | 55 | 0 | 24 | 66 | 23 | 867,500$/1yrs | |||
Eetu Liukas (R) | 0 | LW | 100.00 | 68 | 40 | 77 | 55 | 79 | 62 | 82 | 59 | 39 | 54 | 54 | 62 | 54 | 59 | 57 | 0 | 30 | 66 | 23 | 867,500$/1yrs | |||
Tyson Jugnauth (R) | 0 | D | 100.00 | 69 | 39 | 76 | 62 | 72 | 68 | 71 | 58 | 30 | 69 | 55 | 61 | 62 | 56 | 53 | 0 | 25 | 73 | 21 | ||||
Ryan Merkley (R) | 0 | D | 100.00 | 77 | 41 | 63 | 50 | 73 | 61 | 75 | 47 | 30 | 55 | 47 | 65 | 51 | 62 | 59 | 0 | 20 | 66 | 25 | 900,000$/2yrs | |||
Joe Fleming | 0 | D | 100.00 | 99 | 45 | 50 | 48 | 86 | 61 | 78 | 47 | 30 | 54 | 51 | 62 | 52 | 57 | 52 | 0 | 18 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jiri Patera | 0 | 98.00 | 69 | 62 | 68 | 83 | 64 | 76 | 70 | 69 | 76 | 75 | 72 | 65 | 64 | 0 | 20 | 75 | 26 | 1,000,000$/1yrs |
Gabriel Carriere | 0 | 100.00 | 68 | 70 | 67 | 75 | 69 | 75 | 68 | 68 | 75 | 75 | 70 | 63 | 63 | 0 | 29 | 74 | 25 | 795,000$/1yrs |
| Scratches | ||||||||||||||||||||
Nolan Lalonde | 0 | 100.00 | 71 | 80 | 66 | 74 | 65 | 69 | 69 | 71 | 69 | 71 | 70 | 55 | 56 | 0 | 33 | 73 | 21 | 800,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jessica Campbell | 65 | 68 | 75 | 70 | 53 | 48 | 84 | CAN | 33 | 4 | 500,000$ |
| 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 | 46 | 13 | 24 | 37 | 7 | 4 | 0 | 27 | 131 | 41 | 91 | 9.92% | 4 | 20.17 | 4 | 6 | 10 | 156 | 0 | 0 | 0 | 38 | 3 | 0 | 41.25% | 80 | 0 | 0 | 0 | 0 | 0.80 | 1 | 5 | ||
| 2 | Cedric Pare | C | 51 | 18 | 18 | 36 | -1 | 37 | 5 | 123 | 172 | 34 | 145 | 10.47% | 9 | 20.27 | 6 | 3 | 9 | 154 | 0 | 0 | 0 | 64 | 1 | 3 | 49.39% | 1318 | 0 | 0 | 2 | 0 | 0.70 | 0 | 5 | ||
| 3 | Matthew Savoie | C | 51 | 18 | 14 | 32 | -17 | 4 | 0 | 68 | 156 | 47 | 125 | 11.54% | 8 | 18.67 | 5 | 5 | 10 | 126 | 0 | 0 | 0 | 18 | 1 | 0 | 44.29% | 919 | 0 | 0 | 0 | 0 | 0.67 | 0 | 3 | ||
| 4 | Bode Wilde | D | 51 | 4 | 25 | 29 | -6 | 0 | 0 | 4 | 53 | 18 | 42 | 7.55% | 62 | 21.46 | 1 | 10 | 11 | 154 | 0 | 0 | 0 | 119 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
| 5 | Damien Carfagna | D | 51 | 5 | 21 | 26 | -7 | 28 | 0 | 60 | 70 | 22 | 59 | 7.14% | 79 | 23.45 | 2 | 5 | 7 | 167 | 0 | 0 | 0 | 107 | 0 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.43 | 0 | 0 | ||
| 6 | Anthony Vincent | LW/RW | 47 | 12 | 13 | 25 | -1 | 28 | 0 | 146 | 94 | 28 | 70 | 12.77% | 9 | 14.43 | 0 | 4 | 4 | 14 | 0 | 0 | 0 | 6 | 2 | 0 | 44.02% | 727 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | ||
| 7 | Wyatt Bongiovanni | C | 50 | 6 | 15 | 21 | 6 | 12 | 0 | 31 | 107 | 20 | 54 | 5.61% | 5 | 10.39 | 1 | 2 | 3 | 45 | 0 | 0 | 0 | 33 | 1 | 1 | 53.70% | 378 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | ||
| 8 | Nathan Burke | LW/RW | 48 | 12 | 8 | 20 | 3 | 6 | 0 | 59 | 112 | 27 | 62 | 10.71% | 11 | 16.13 | 4 | 2 | 6 | 122 | 0 | 0 | 0 | 81 | 0 | 2 | 30.00% | 60 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | ||
| 9 | Zach Metsa | D | 45 | 4 | 14 | 18 | 0 | 8 | 0 | 12 | 38 | 6 | 21 | 10.53% | 31 | 13.70 | 1 | 0 | 1 | 20 | 0 | 0 | 0 | 30 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
| 10 | Kevin Korchinski | D | 44 | 2 | 16 | 18 | -7 | 24 | 0 | 84 | 59 | 24 | 27 | 3.39% | 52 | 23.10 | 0 | 6 | 6 | 133 | 0 | 0 | 0 | 81 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
| 11 | Eetu Liukas | LW | 38 | 7 | 11 | 18 | -7 | 20 | 0 | 53 | 90 | 32 | 60 | 7.78% | 6 | 19.76 | 0 | 5 | 5 | 114 | 0 | 0 | 0 | 52 | 1 | 0 | 49.28% | 69 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
| 12 | David Gucciardi | D | 51 | 5 | 13 | 18 | -7 | 48 | 0 | 157 | 70 | 20 | 45 | 7.14% | 72 | 20.74 | 2 | 4 | 6 | 150 | 0 | 0 | 0 | 95 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
| 13 | Nolan Burke | C | 51 | 8 | 9 | 17 | -17 | 18 | 0 | 84 | 140 | 21 | 114 | 5.71% | 8 | 20.36 | 1 | 2 | 3 | 131 | 0 | 0 | 0 | 110 | 3 | 1 | 54.58% | 306 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
| 14 | Matt Hellickson | D | 47 | 3 | 13 | 16 | -4 | 31 | 5 | 115 | 30 | 24 | 15 | 10.00% | 43 | 17.26 | 1 | 1 | 2 | 50 | 0 | 0 | 0 | 45 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | ||
| 15 | David Gustafsson | C | 51 | 6 | 6 | 12 | -8 | 0 | 0 | 23 | 72 | 15 | 41 | 8.33% | 10 | 13.46 | 4 | 1 | 5 | 66 | 0 | 0 | 0 | 43 | 2 | 0 | 57.53% | 146 | 0 | 0 | 0 | 0 | 0.35 | 0 | 1 | ||
| 16 | Roman Ahcan | LW | 47 | 5 | 5 | 10 | -1 | 18 | 0 | 63 | 100 | 39 | 78 | 5.00% | 8 | 17.14 | 0 | 1 | 1 | 15 | 0 | 0 | 0 | 30 | 0 | 0 | 53.45% | 58 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
| 17 | Lukas Reichel | C/LW | 13 | 2 | 6 | 8 | 2 | 0 | 0 | 7 | 42 | 15 | 19 | 4.76% | 2 | 20.89 | 0 | 2 | 2 | 38 | 0 | 0 | 0 | 18 | 0 | 0 | 68.42% | 19 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | ||
| 18 | Ben King | C | 51 | 3 | 4 | 7 | -10 | 7 | 5 | 38 | 56 | 10 | 39 | 5.36% | 6 | 7.68 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 0 | 0 | 1 | 51.60% | 407 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
| 19 | Mitchell Russell | C/RW | 7 | 0 | 2 | 2 | -2 | 0 | 0 | 0 | 14 | 1 | 6 | 0.00% | 1 | 9.86 | 0 | 1 | 1 | 19 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 8 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
| 20 | Joe Fleming | D | 7 | 0 | 2 | 2 | 2 | 12 | 0 | 26 | 3 | 1 | 1 | 0.00% | 11 | 16.65 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
| 21 | Jayden Grubbe | C | 38 | 1 | 0 | 1 | 0 | 4 | 0 | 3 | 2 | 2 | 4 | 50.00% | 0 | 1.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
| 22 | 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 | ||
| 23 | Ryder Rolston | C | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 1 | 0 | 0.00% | 1 | 1.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 24 | Max McCue | LW | 41 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 0 | 0.05 | 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 | 947 | 134 | 239 | 373 | -75 | 321 | 15 | 1191 | 1616 | 448 | 1120 | 8.29% | 439 | 15.78 | 32 | 60 | 92 | 1699 | 0 | 0 | 0 | 986 | 19 | 9 | 48.42% | 4498 | 0 | 0 | 3 | 0 | 0.50 | 1 | 14 |
| 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 | 29 | 11 | 13 | 5 | 0.910 | 2.73 | 1734 | 2 | 1 | 79 | 881 | 0 | 0 | 1 | 0.643 | 14 | 29 | 11 | 3 | 2 | 0 | |
| 2 | Nolan Lalonde | 2 | 2 | 0 | 0 | 0.953 | 1.50 | 120 | 2 | 0 | 3 | 64 | 0 | 0 | 0 | 0.000 | 0 | 2 | 9 | 1 | 0 | 0 | |
| 3 | Jiri Patera | 11 | 1 | 10 | 0 | 0.901 | 3.29 | 656 | 0 | 0 | 36 | 365 | 0 | 0 | 1 | 0.000 | 0 | 11 | 6 | 0 | 0 | 1 | |
| Team Total or Average | 42 | 14 | 23 | 5 | 0.910 | 2.82 | 2511 | 4 | 1 | 118 | 1310 | 0 | 0 | 2 | 0.643 | 14 | 42 | 26 | 4 | 2 | 1 |
| 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 | 27 | 775,000$ | 775,000$ | UFA | ||||||
| Bode Wilde | D | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Calle Sjalin | D | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Cedric Pare | C | 27 | 850,000$ | 850,000$ | UFA | ||||||
| Damien Carfagna | D | 23 | 862,500$ | 862,500$ | 862,500$ | ||||||
| David Gucciardi | D | 23 | 855,000$ | 855,000$ | 855,000$ | ||||||
| David Gustafsson | C | 25 | 800,000$ | 800,000$ | |||||||
| Dominik Bokk | LW/RW | 26 | 0$ | ||||||||
| Eetu Liukas | LW | 23 | 867,500$ | 867,500$ | RFA | ||||||
| Gabriel Carriere | G | 25 | 795,000$ | 795,000$ | |||||||
| Jayden Grubbe | C | 23 | 867,500$ | 867,500$ | 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$ | ||||||
| Lukas Reichel | C/LW | 23 | 1,200,000$ | 1,200,000$ | RFA | ||||||
| Matt Hellickson | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Matthew Maggio | RW | 23 | 870,000$ | 870,000$ | RFA | ||||||
| Matthew Savoie | C | 22 | 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 | 27 | 800,000$ | 800,000$ | UFA | ||||||
| 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$ | |||||||
| Shane Lachance | LW | 22 | 0$ | RFA | |||||||
| Tyson Jugnauth | D | 21 | 0$ | RFA | |||||||
| Ville Petman | C/LW | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
| 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$ |
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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 |
| # | 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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 14 | 21 | 1 | 0 | 52 | 43 | 37 | 4 | 69 | 512 | 538 | 552 | 36 | 57 | 13 | 17 | 50 | 5 | 2 | 40.00% | 4 | 0 | 100.00% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 41.7% | 10.1% | 87.7% | 97.9 | FUN | |
| 2 | 4 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 10 | 13 | -3 | 3 | 0.375 | 10 | 18 | 28 | 1 | 0 | 52 | 43 | 37 | 4 | 135 | 512 | 538 | 552 | 36 | 121 | 39 | 20 | 79 | 25 | 4 | 16.00% | 9 | 3 | 66.67% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 37.5% | 7.4% | 89.3% | 96.7 | Unlucky | |
| 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 52 | 43 | 37 | 4 | 38 | 512 | 538 | 552 | 36 | 24 | 6 | 4 | 17 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 60.0% | 10.5% | 91.7% | 102.2 | LUCKY | |
| 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 52 | 43 | 37 | 4 | 23 | 512 | 538 | 552 | 36 | 36 | 9 | 8 | 19 | 6 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 75.0% | 13.0% | 97.2% | 110.3 | LUCKY | |
| 5 | 4 | 0 | 1 | 0 | 1 | 0 | 0 | 2 | 9 | 11 | -2 | 4 | 0.500 | 9 | 16 | 25 | 0 | 0 | 52 | 43 | 37 | 4 | 133 | 512 | 538 | 552 | 36 | 131 | 40 | 30 | 92 | 9 | 2 | 22.22% | 14 | 2 | 85.71% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 43.8% | 6.8% | 91.6% | 98.4 | DULL | |
| 6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 52 | 43 | 37 | 4 | 58 | 512 | 538 | 552 | 36 | 61 | 15 | 8 | 44 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 37.5% | 5.2% | 90.2% | 95.3 | Unlucky | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 52 | 43 | 37 | 4 | 41 | 512 | 538 | 552 | 36 | 38 | 13 | 2 | 26 | 6 | 2 | 33.33% | 1 | 0 | 100.00% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 66.7% | 9.8% | 97.4% | 107.1 | LUCKY | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 52 | 43 | 37 | 4 | 33 | 512 | 538 | 552 | 36 | 24 | 8 | 6 | 26 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 100.0% | 6.1% | 100.0% | 106.1 | DULL | |
| 9 | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 9 | 10 | -1 | 3 | 0.500 | 9 | 16 | 25 | 0 | 0 | 52 | 43 | 37 | 4 | 92 | 512 | 538 | 552 | 36 | 76 | 20 | 21 | 86 | 11 | 2 | 18.18% | 7 | 4 | 42.86% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 53.8% | 9.8% | 86.8% | 96.6 | FUN | |
| 10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 52 | 43 | 37 | 4 | 26 | 512 | 538 | 552 | 36 | 31 | 8 | 8 | 15 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 0.0% | 0.0% | 96.8% | 96.8 | DULL | |
| 11 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 52 | 43 | 37 | 4 | 30 | 512 | 538 | 552 | 36 | 49 | 12 | 12 | 25 | 3 | 1 | 33.33% | 6 | 1 | 83.33% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 42.9% | 13.3% | 89.8% | 103.1 | FUN | |
| 12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 52 | 43 | 37 | 4 | 42 | 512 | 538 | 552 | 36 | 32 | 3 | 6 | 20 | 6 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 0.0% | 0.0% | 93.8% | 93.8 | DULL | |
| 13 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 52 | 43 | 37 | 4 | 45 | 512 | 538 | 552 | 36 | 71 | 17 | 10 | 56 | 6 | 1 | 16.67% | 4 | 0 | 100.00% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 41.7% | 13.3% | 90.1% | 103.5 | FUN | |
| 14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 52 | 43 | 37 | 4 | 42 | 512 | 538 | 552 | 36 | 39 | 13 | 8 | 24 | 4 | 1 | 25.00% | 4 | 1 | 75.00% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 33.3% | 7.1% | 87.2% | 94.3 | Unlucky | |
| 15 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 13 | 14 | -1 | 2 | 0.250 | 13 | 23 | 36 | 0 | 0 | 52 | 43 | 37 | 4 | 142 | 512 | 538 | 552 | 36 | 144 | 27 | 37 | 82 | 22 | 4 | 18.18% | 14 | 6 | 57.14% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 52.9% | 9.2% | 90.3% | 99.4 | FUN | |
| 16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 52 | 43 | 37 | 4 | 17 | 512 | 538 | 552 | 36 | 42 | 14 | 12 | 25 | 6 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 33.3% | 5.9% | 88.1% | 94.0 | Unlucky | |
| 17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 52 | 43 | 37 | 4 | 57 | 512 | 538 | 552 | 36 | 75 | 19 | 26 | 49 | 5 | 1 | 20.00% | 12 | 1 | 91.67% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 50.0% | 7.0% | 94.7% | 101.7 | DULL | |
| 18 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 52 | 43 | 37 | 4 | 64 | 512 | 538 | 552 | 36 | 57 | 8 | 10 | 44 | 14 | 2 | 14.29% | 5 | 0 | 100.00% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 25.0% | 6.3% | 89.5% | 95.7 | Unlucky | |
| 19 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 52 | 43 | 37 | 4 | 61 | 512 | 538 | 552 | 36 | 57 | 16 | 10 | 49 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 61.5% | 13.1% | 91.2% | 104.3 | LUCKY | |
| 20 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 4 | 0.667 | 10 | 17 | 27 | 0 | 0 | 52 | 43 | 37 | 4 | 100 | 512 | 538 | 552 | 36 | 84 | 33 | 18 | 77 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 52.9% | 10.0% | 88.1% | 98.1 | FUN | |
| 21 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 52 | 43 | 37 | 4 | 19 | 512 | 538 | 552 | 36 | 35 | 7 | 10 | 24 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 25.0% | 5.3% | 91.4% | 96.7 | DULL | |
| 22 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 52 | 43 | 37 | 4 | 34 | 512 | 538 | 552 | 36 | 28 | 7 | 2 | 28 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 66.7% | 14.7% | 92.9% | 107.6 | LUCKY | |
| 23 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 52 | 43 | 37 | 4 | 34 | 512 | 538 | 552 | 36 | 36 | 11 | 0 | 26 | 4 | 1 | 25.00% | 0 | 0 | 0.00% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 0.0% | 2.9% | 94.4% | 97.4 | DULL | |
| 24 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 52 | 43 | 37 | 4 | 27 | 512 | 538 | 552 | 36 | 39 | 14 | 12 | 15 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 28.6% | 11.1% | 84.6% | 95.7 | FUN | |
| 25 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 14 | 14 | 0 | 4 | 0.400 | 14 | 24 | 38 | 0 | 1 | 52 | 43 | 37 | 4 | 165 | 512 | 538 | 552 | 36 | 139 | 48 | 25 | 127 | 18 | 4 | 22.22% | 10 | 1 | 90.00% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 43.5% | 8.5% | 89.9% | 98.4 | Unlucky | |
| 26 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 52 | 43 | 37 | 4 | 31 | 512 | 538 | 552 | 36 | 30 | 12 | 6 | 25 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 50.0% | 3.2% | 93.3% | 96.6 | DULL | |
| 27 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 52 | 43 | 37 | 4 | 34 | 512 | 538 | 552 | 36 | 19 | 7 | 2 | 29 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 57.1% | 14.7% | 84.2% | 98.9 | FUN | |
| 28 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 52 | 43 | 37 | 4 | 32 | 512 | 538 | 552 | 36 | 27 | 11 | 4 | 23 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 50.0% | 6.3% | 88.9% | 95.1 | Unlucky | |
| _Vs Division | 13 | 6 | 12 | 0 | 2 | 0 | 1 | 4 | 36 | 35 | 1 | 22 | 0.846 | 36 | 62 | 98 | 0 | 1 | 52 | 43 | 37 | 4 | 390 | 512 | 538 | 552 | 36 | 424 | 121 | 92 | 312 | 50 | 8 | 16.00% | 43 | 4 | 90.70% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 47.5% | 9.2% | 91.7% | 101.0 | LUCKY | |
| _Vs Conference | 34 | 11 | 15 | 0 | 3 | 0 | 1 | 4 | 95 | 99 | -4 | 34 | 0.500 | 95 | 166 | 261 | 1 | 2 | 52 | 43 | 37 | 4 | 1095 | 512 | 538 | 552 | 36 | 1059 | 301 | 229 | 795 | 139 | 25 | 17.99% | 98 | 20 | 79.59% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 47.0% | 8.7% | 90.7% | 99.3 | Unlucky | |
| _Since Last GM Reset | 51 | 16 | 25 | 0 | 3 | 2 | 1 | 4 | 136 | 150 | -14 | 46 | 0.451 | 136 | 241 | 377 | 2 | 2 | 52 | 43 | 37 | 4 | 1624 | 512 | 538 | 552 | 36 | 1602 | 450 | 334 | 1202 | 196 | 32 | 16.33% | 145 | 28 | 80.69% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 46.0% | 8.4% | 90.6% | 99.0 | Unlucky | |
| Total | 51 | 16 | 25 | 0 | 3 | 2 | 1 | 4 | 136 | 150 | -14 | 46 | 0.451 | 136 | 241 | 377 | 2 | 2 | 52 | 43 | 37 | 4 | 1624 | 512 | 538 | 552 | 36 | 1602 | 450 | 334 | 1202 | 196 | 32 | 16.33% | 145 | 28 | 80.69% | 0 | 900 | 1837 | 48.99% | 900 | 1811 | 49.70% | 378 | 796 | 47.49% | 1204 | 796 | 1188 | 406 | 701 | 348 | 46.0% | 8.4% | 90.6% | 99.0 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1837 |
| Neutral Zone Start | 796 |
| Defensive Zone Start | 1811 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2178 |
| Faceoffs Lost | 2266 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.0 | 9.57 |
| 2nd Period | 20.6 | 20.31 |
| 3rd Period | 31.4 | 30.68 |
| Overtime | 32.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 1.9 | 1.65 |
| 3rd Period | 2.6 | 2.67 |
| Overtime | 2.7 | 2.83 |
| Even Strenght Goal | 102 |
|---|---|
| PP Goal | 32 |
| PK Goal | 0 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 11 | 9 |
| Lost | 12 | 13 |
| Overtime Lost | 2 | 4 |
| PP Attempt | 196 |
|---|---|
| PP Goal | 32 |
| PK Attempt | 145 |
| PK Goal Against | 28 |
| Home | |
|---|---|
| Shots For | 31.8 |
| Shots Against | 31.4 |
| Goals For | 2.7 |
| Goals Against | 2.9 |
| Hits | 23.6 |
| Shots Blocked | 8.8 |
| Pim | 6.5 |
| 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 | @ | Rocket0,Wolf Pack2 | RECAP | |||||||||||
| 2025-12-14 | @ | Canucks1,Wolf Pack0 | RECAP | |||||||||||
| 2025-12-17 | @ | Wolf Pack2,Islanders3 (SO) | RECAP | |||||||||||
| 2025-12-20 | @ | Wolf Pack4,Comets2 | RECAP | |||||||||||
| 2025-12-21 | @ | Americans3,Wolf Pack0 | RECAP | |||||||||||
| 2025-12-24 | @ | Wolf Pack4,Americans3 (OT) | RECAP | |||||||||||
| 2025-12-26 | @ | Penguins4,Wolf Pack3 | RECAP | |||||||||||
| 2025-12-28 | @ | Wolf Pack4,Crunch3 | RECAP | |||||||||||
| 2025-12-29 | @ | Wolf Pack4,Checkers3 | RECAP | |||||||||||
| 2025-12-31 | @ | Penguins0,Wolf Pack2 | RECAP | |||||||||||
| 2026-01-03 | @ | Islanders2,Wolf Pack3 (OT) | RECAP | |||||||||||
| 2026-01-05 | @ | Wolf Pack4,Reign5 (OT) | RECAP | |||||||||||
| 2026-01-08 | @ | Wolf Pack1,Moose3 | RECAP | |||||||||||
| 2026-01-09 | @ | Condors5,Wolf Pack3 | RECAP | |||||||||||
| 2026-01-12 | @ | Wolf Pack1,Roadrunners5 | RECAP | |||||||||||
| 2026-01-14 | @ | Wolf Pack1,Penguins3 | RECAP | |||||||||||
| 2026-01-16 | @ | Gulls2,Wolf Pack5 | RECAP | |||||||||||
| 2026-01-18 | @ | Wolf Pack3,Senators1 | RECAP | |||||||||||
| 2026-01-20 | @ | Wolf Pack3,Phantoms4 | RECAP | |||||||||||
| 2026-01-22 | @ | Bruins3,Wolf Pack1 | RECAP | |||||||||||
| 2026-01-27 | @ | Bears3,Wolf Pack2 | RECAP | |||||||||||
| 2026-01-31 | @ | Thunderbirds3,Wolf Pack2 | RECAP | |||||||||||
| 2026-02-02 | @ | Wolf Pack4,Checkers2 | RECAP | |||||||||||
| 2026-02-03 | @ | Wranglers4,Wolf Pack2 | RECAP | |||||||||||
| 2026-02-06 | @ | Wolf Pack1,Stars2 | RECAP | |||||||||||
| 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 |
| 2,296,083$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Hartford | |
| Capacity | 3000 | |
| Season Ticket Holders | 0% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 0$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 11 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,296,083$ | 2,296,083$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,906,068$ | 12,756$ | 1,564,386$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 69 | 15,534$ | 885,438$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 885,438$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
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| Defense #1 | Defense #2 | Goalie |
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