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Full Scoreboard »» |
| Hartford Wolf Pack 3-3-0, 6pts · 13th 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 | 99.00 | 66 | 39 | 81 | 57 | 75 | 67 | 72 | 64 | 70 | 54 | 61 | 67 | 58 | 68 | 66 | 0 | 42 | 70 | 26 | 850,000$/2yrs | |||
Cedric Pare | 0 | C | 99.00 | 72 | 41 | 71 | 56 | 83 | 66 | 70 | 64 | 47 | 57 | 57 | 67 | 57 | 68 | 65 | 0 | 42 | 70 | 26 | 850,000$/1yrs | |||
Matthew Savoie | 0 | C | 100.00 | 64 | 38 | 83 | 61 | 67 | 67 | 69 | 59 | 44 | 62 | 59 | 62 | 60 | 59 | 58 | 0 | 42 | 70 | 21 | 918,333$/1yrs | |||
David Gustafsson | 19 | C | 100.00 | 63 | 37 | 96 | 55 | 84 | 71 | 77 | 57 | 78 | 58 | 58 | 61 | 57 | 66 | 66 | 0 | 42 | 69 | 25 | 800,000$/1yrs | |||
Roman Ahcan | 0 | LW | 99.00 | 69 | 39 | 76 | 54 | 64 | 65 | 70 | 64 | 37 | 54 | 57 | 67 | 55 | 68 | 66 | 0 | 40 | 69 | 26 | 800,000$/2yrs | |||
Nolan Burke (R) | 0 | C | 99.00 | 64 | 39 | 83 | 65 | 74 | 69 | 60 | 62 | 67 | 54 | 58 | 61 | 64 | 58 | 56 | 0 | 39 | 69 | 22 | 800,000$/2yrs | |||
Anthony Vincent | 0 | LW/RW | 100.00 | 81 | 41 | 56 | 52 | 74 | 65 | 67 | 66 | 41 | 53 | 54 | 70 | 54 | 71 | 67 | 0 | 40 | 69 | 28 | 800,000$/2yrs | |||
Matthew Maggio (R) | 0 | RW | 99.00 | 64 | 39 | 85 | 55 | 72 | 64 | 69 | 61 | 41 | 54 | 56 | 64 | 55 | 63 | 61 | 0 | 42 | 68 | 22 | 870,000$/1yrs | |||
Nathan Burke | 0 | LW/RW | 99.00 | 70 | 40 | 75 | 51 | 76 | 62 | 67 | 63 | 41 | 49 | 54 | 67 | 52 | 66 | 64 | 0 | 42 | 67 | 26 | 800,000$/1yrs | |||
Ben King (R) | 0 | C | 100.00 | 62 | 39 | 88 | 55 | 81 | 63 | 76 | 59 | 61 | 52 | 56 | 62 | 54 | 59 | 58 | 0 | 42 | 67 | 23 | 800,000$/1yrs | |||
Eetu Liukas (R) | 0 | LW | 99.00 | 69 | 40 | 75 | 53 | 83 | 62 | 67 | 61 | 47 | 52 | 53 | 65 | 52 | 63 | 60 | 0 | 42 | 67 | 23 | 867,500$/1yrs | |||
Max McCue (R) | 0 | LW | 100.00 | 99 | 45 | 50 | 53 | 73 | 62 | 65 | 61 | 50 | 53 | 51 | 64 | 52 | 61 | 56 | 0 | 40 | 67 | 22 | 800,000$/2yrs | |||
Kevin Korchinski | 0 | D | 99.00 | 58 | 32 | 89 | 57 | 74 | 88 | 79 | 51 | 30 | 59 | 58 | 58 | 55 | 59 | 58 | 0 | 42 | 69 | 21 | 918,333$/1yrs | |||
Matt Hellickson | 0 | D | 100.00 | 74 | 39 | 77 | 58 | 72 | 67 | 60 | 57 | 30 | 54 | 47 | 66 | 59 | 66 | 69 | 0 | 40 | 69 | 27 | 800,000$/2yrs | |||
Damien Carfagna | 0 | D | 99.00 | 54 | 38 | 94 | 56 | 72 | 66 | 90 | 55 | 30 | 59 | 55 | 66 | 57 | 61 | 60 | 0 | 38 | 69 | 22 | 862,500$/2yrs | |||
Bode Wilde | 52 | D | 100.00 | 56 | 38 | 92 | 60 | 79 | 66 | 60 | 57 | 30 | 54 | 46 | 64 | 58 | 61 | 60 | 0 | 42 | 68 | 25 | 800,000$/2yrs | |||
David Gucciardi | 0 | D | 100.00 | 82 | 41 | 62 | 53 | 79 | 65 | 89 | 53 | 30 | 55 | 55 | 67 | 55 | 61 | 57 | 0 | 47 | 68 | 23 | 855,000$/2yrs | |||
David Reinbacher (R) | 0 | D | 100.00 | 68 | 40 | 77 | 51 | 84 | 64 | 66 | 51 | 30 | 57 | 56 | 63 | 56 | 59 | 57 | 0 | 43 | 67 | 20 | 950,000$/1yrs | |||
Zach Metsa | 0 | D | 100.00 | 61 | 38 | 89 | 49 | 71 | 63 | 74 | 48 | 30 | 54 | 51 | 67 | 52 | 66 | 65 | 0 | 46 | 66 | 27 | 775,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Milos Kelemen | 0 | LW/RW | 100.00 | 82 | 43 | 55 | 57 | 86 | 67 | 68 | 64 | 37 | 57 | 58 | 67 | 58 | 68 | 64 | 0 | 34 | 71 | 26 | 900,000$/1yrs | |||
Dominik Bokk | 26 | LW/RW | 100.00 | 61 | 38 | 89 | 64 | 73 | 63 | 60 | 61 | 65 | 57 | 56 | 62 | 64 | 61 | 60 | 0 | 34 | 69 | 25 | ||||
Bobby Trivigno | 0 | LW | 100.00 | 66 | 38 | 81 | 52 | 60 | 62 | 84 | 62 | 36 | 54 | 50 | 66 | 52 | 64 | 62 | 0 | 34 | 66 | 26 | 775,000$/1yrs | |||
Mitchell Russell | 0 | C/RW | 100.00 | 55 | 38 | 99 | 53 | 75 | 61 | 65 | 61 | 72 | 45 | 58 | 64 | 52 | 61 | 61 | 0 | 37 | 66 | 24 | 800,000$/2yrs | |||
Ville Petman | 0 | C/LW | 100.00 | 61 | 38 | 88 | 52 | 69 | 61 | 87 | 62 | 73 | 52 | 50 | 65 | 51 | 62 | 61 | 0 | 34 | 66 | 25 | 850,000$/2yrs | |||
Jayden Grubbe (R) | 0 | C | 100.00 | 70 | 40 | 74 | 54 | 81 | 62 | 67 | 61 | 63 | 53 | 52 | 64 | 53 | 61 | 58 | 0 | 37 | 66 | 22 | 867,500$/1yrs | |||
Ryder Rolston (R) | 0 | C | 100.00 | 56 | 38 | 97 | 52 | 76 | 61 | 76 | 61 | 63 | 49 | 52 | 64 | 51 | 61 | 60 | 0 | 37 | 65 | 23 | 895,000$/1yrs | |||
Ryan Merkley (R) | 0 | D | 100.00 | 77 | 41 | 63 | 50 | 73 | 61 | 75 | 47 | 30 | 55 | 47 | 65 | 51 | 62 | 59 | 0 | 34 | 66 | 25 | 900,000$/2yrs | |||
Joe Fleming | 0 | D | 100.00 | 99 | 46 | 50 | 47 | 86 | 61 | 65 | 46 | 30 | 52 | 50 | 64 | 51 | 61 | 56 | 0 | 31 | 65 | 22 | 836,666$/1yrs | |||
Calle Sjalin | 0 | D | 100.00 | 65 | 39 | 82 | 44 | 72 | 60 | 77 | 44 | 30 | 49 | 49 | 66 | 49 | 64 | 62 | 0 | 34 | 63 | 26 | 800,000$/2yrs | |||
Zach Uens (R) | 0 | D | 100.00 | 76 | 40 | 64 | 44 | 72 | 58 | 69 | 43 | 30 | 49 | 47 | 64 | 48 | 61 | 57 | 0 | 37 | 62 | 24 | 800,000$/2yrs | |||
Kim Nousiainen (R) | 0 | D | 100.00 | 62 | 38 | 88 | 45 | 66 | 59 | 81 | 44 | 30 | 50 | 46 | 65 | 48 | 62 | 61 | 0 | 34 | 62 | 24 | 850,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jesper Vikman | 0 | 99.00 | 70 | 61 | 68 | 86 | 58 | 73 | 71 | 70 | 73 | 73 | 71 | 64 | 62 | 0 | 42 | 74 | 23 | 858,000$/1yrs |
Nolan Lalonde | 0 | 100.00 | 71 | 80 | 66 | 74 | 65 | 69 | 69 | 71 | 69 | 71 | 70 | 55 | 56 | 0 | 42 | 73 | 21 | 800,000$/1yrs |
| Scratches | ||||||||||||||||||||
Gabriel Carriere | 0 | 100.00 | 69 | 61 | 68 | 75 | 71 | 75 | 71 | 69 | 75 | 73 | 72 | 67 | 66 | 0 | 40 | 75 | 24 | 795,000$/1yrs |
Jiri Patera | 0 | 100.00 | 60 | 62 | 66 | 84 | 56 | 61 | 60 | 60 | 61 | 61 | 60 | 68 | 71 | 0 | 39 | 68 | 26 | 1,000,000$/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 | Wyatt Bongiovanni | C | 6 | 4 | 5 | 9 | 6 | 0 | 0 | 8 | 42 | 4 | 15 | 9.52% | 1 | 22.55 | 1 | 1 | 2 | 27 | 0 | 0 | 0 | 17 | 1 | 1 | 54.76% | 210 | 0 | 0 | 0 | 0 | 1.33 | 0 | 0 | ||
| 2 | Matthew Maggio | RW | 6 | 3 | 4 | 7 | 5 | 0 | 0 | 7 | 13 | 8 | 13 | 23.08% | 1 | 18.15 | 0 | 2 | 2 | 27 | 0 | 0 | 0 | 0 | 1 | 0 | 25.00% | 12 | 0 | 0 | 0 | 0 | 1.29 | 0 | 0 | ||
| 3 | Nathan Burke | LW/RW | 6 | 2 | 4 | 6 | 5 | 2 | 0 | 18 | 20 | 9 | 18 | 10.00% | 2 | 21.10 | 2 | 1 | 3 | 27 | 0 | 0 | 0 | 16 | 0 | 0 | 50.00% | 12 | 0 | 0 | 0 | 0 | 0.95 | 0 | 0 | ||
| 4 | Cedric Pare | C | 6 | 1 | 3 | 4 | 0 | 4 | 0 | 15 | 18 | 3 | 11 | 5.56% | 0 | 18.59 | 1 | 0 | 1 | 22 | 0 | 0 | 0 | 8 | 0 | 0 | 48.30% | 147 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | ||
| 5 | Bode Wilde | D | 6 | 1 | 2 | 3 | 2 | 0 | 0 | 1 | 5 | 2 | 6 | 20.00% | 6 | 21.24 | 0 | 0 | 0 | 22 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
| 6 | Kevin Korchinski | D | 6 | 1 | 2 | 3 | 3 | 0 | 0 | 11 | 19 | 4 | 5 | 5.26% | 5 | 25.00 | 0 | 2 | 2 | 29 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
| 7 | Eetu Liukas | LW | 6 | 1 | 2 | 3 | -1 | 8 | 0 | 14 | 15 | 5 | 7 | 6.67% | 2 | 18.71 | 0 | 1 | 1 | 22 | 0 | 0 | 0 | 9 | 0 | 0 | 72.73% | 11 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
| 8 | Damien Carfagna | D | 6 | 0 | 3 | 3 | 3 | 0 | 0 | 6 | 13 | 1 | 8 | 0.00% | 10 | 23.96 | 0 | 0 | 0 | 26 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
| 9 | 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 | ||
| 10 | David Reinbacher | D | 6 | 1 | 1 | 2 | 0 | 9 | 5 | 8 | 5 | 0 | 0 | 20.00% | 8 | 14.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
| 11 | David Gustafsson | C | 6 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 7 | 1 | 4 | 0.00% | 2 | 13.08 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 66.67% | 12 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
| 12 | Roman Ahcan | LW | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 5 | 7 | 4 | 2 | 14.29% | 0 | 18.67 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | ||
| 13 | Nolan Burke | C | 6 | 0 | 1 | 1 | 0 | 2 | 0 | 9 | 11 | 3 | 9 | 0.00% | 1 | 13.67 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 6 | 0 | 0 | 53.85% | 13 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | ||
| 14 | Zach Metsa | D | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 0 | 1.58 | 1 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 6.32 | 0 | 0 | ||
| 15 | Matthew Savoie | C | 6 | 0 | 1 | 1 | 0 | 0 | 0 | 5 | 8 | 2 | 10 | 0.00% | 1 | 11.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 29.58% | 71 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
| 16 | Jayden Grubbe | C | 4 | 1 | 0 | 1 | 0 | 4 | 0 | 2 | 2 | 2 | 4 | 50.00% | 0 | 10.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
| 17 | Anthony Vincent | LW/RW | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 1.45 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 6.90 | 0 | 0 | ||
| 18 | David Gucciardi | D | 6 | 1 | 0 | 1 | 1 | 10 | 0 | 22 | 11 | 2 | 7 | 9.09% | 8 | 20.49 | 0 | 0 | 0 | 21 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | ||
| 19 | 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 | ||
| 20 | Matt Hellickson | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 2 | 15.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | Ben King | C | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 6 | 2 | 4 | 0.00% | 0 | 6.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41.82% | 55 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 23 | Max McCue | LW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 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 | 110 | 18 | 32 | 50 | 23 | 53 | 5 | 148 | 222 | 54 | 131 | 8.11% | 52 | 16.01 | 5 | 9 | 14 | 260 | 0 | 0 | 0 | 129 | 3 | 1 | 48.38% | 556 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | 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 | Jesper Vikman | 2 | 2 | 0 | 0 | 0.927 | 2.00 | 120 | 0 | 0 | 4 | 55 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 1 | 0 | 0 | |
| 2 | Gabriel Carriere | 4 | 1 | 3 | 0 | 0.913 | 3.03 | 238 | 0 | 0 | 12 | 138 | 0 | 0 | 1 | 0.000 | 0 | 4 | 0 | 0 | 0 | 0 | |
| Team Total or Average | 6 | 3 | 3 | 0 | 0.917 | 2.68 | 358 | 0 | 0 | 16 | 193 | 0 | 0 | 1 | 0.000 | 0 | 6 | 0 | 1 | 0 | 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$ | |||||||
| David Reinbacher | D | 20 | 950,000$ | 950,000$ | RFA | ||||||
| Dominik Bokk | LW/RW | 25 | 0$ | ||||||||
| Eetu Liukas | LW | 23 | 867,500$ | 867,500$ | RFA | ||||||
| Gabriel Carriere | G | 24 | 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 | 24 | 850,000$ | 850,000$ | 850,000$ | ||||||
| Matt Hellickson | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Matthew Maggio | RW | 22 | 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 | 22 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
| 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 | 23 | 895,000$ | 895,000$ | RFA | ||||||
| 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$ |
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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 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 4 | 7 | 6 | 1 | 42 | 61 | 86 | 74 | 1 | 30 | 8 | 8 | 20 | 6 | 1 | 16.67% | 3 | 1 | 66.67% | 0 | 114 | 249 | 45.78% | 109 | 216 | 50.46% | 46 | 90 | 51.11% | 139 | 91 | 138 | 47 | 82 | 40 | 25.0% | 4.8% | 86.7% | 91.4 | Unlucky | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 4 | 7 | 6 | 1 | 43 | 61 | 86 | 74 | 1 | 32 | 13 | 10 | 17 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 114 | 249 | 45.78% | 109 | 216 | 50.46% | 46 | 90 | 51.11% | 139 | 91 | 138 | 47 | 82 | 40 | 50.0% | 2.3% | 93.8% | 96.1 | DULL | |
| 3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 4 | 7 | 6 | 1 | 22 | 61 | 86 | 74 | 1 | 22 | 9 | 9 | 41 | 2 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 114 | 249 | 45.78% | 109 | 216 | 50.46% | 46 | 90 | 51.11% | 139 | 91 | 138 | 47 | 82 | 40 | 80.0% | 18.2% | 86.4% | 104.5 | FUN | |
| 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 14 | 22 | 0 | 0 | 4 | 7 | 6 | 1 | 80 | 61 | 86 | 74 | 1 | 77 | 13 | 20 | 43 | 14 | 3 | 21.43% | 9 | 5 | 44.44% | 0 | 114 | 249 | 45.78% | 109 | 216 | 50.46% | 46 | 90 | 51.11% | 139 | 91 | 138 | 47 | 82 | 40 | 71.4% | 10.0% | 90.9% | 100.9 | FUN | |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 4 | 7 | 6 | 1 | 35 | 61 | 86 | 74 | 1 | 33 | 9 | 6 | 27 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 114 | 249 | 45.78% | 109 | 216 | 50.46% | 46 | 90 | 51.11% | 139 | 91 | 138 | 47 | 82 | 40 | 66.7% | 8.6% | 97.0% | 105.5 | DULL | |
| _Vs Division | 1 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 2 | 6 | 3.000 | 3 | 5 | 8 | 0 | 0 | 4 | 7 | 6 | 1 | 35 | 61 | 86 | 74 | 1 | 33 | 9 | 6 | 27 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 114 | 249 | 45.78% | 109 | 216 | 50.46% | 46 | 90 | 51.11% | 139 | 91 | 138 | 47 | 82 | 40 | 66.7% | 8.6% | 97.0% | 105.5 | DULL | |
| _Vs Conference | 6 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 18 | 17 | 1 | 6 | 0.500 | 18 | 32 | 50 | 1 | 0 | 4 | 7 | 6 | 1 | 222 | 61 | 86 | 74 | 1 | 194 | 52 | 53 | 148 | 28 | 5 | 17.86% | 21 | 9 | 57.14% | 0 | 114 | 249 | 45.78% | 109 | 216 | 50.46% | 46 | 90 | 51.11% | 139 | 91 | 138 | 47 | 82 | 40 | 61.9% | 8.1% | 91.2% | 99.3 | DULL | |
| _Since Last GM Reset | 6 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 18 | 17 | 1 | 6 | 0.500 | 18 | 32 | 50 | 1 | 0 | 4 | 7 | 6 | 1 | 222 | 61 | 86 | 74 | 1 | 194 | 52 | 53 | 148 | 28 | 5 | 17.86% | 21 | 9 | 57.14% | 0 | 114 | 249 | 45.78% | 109 | 216 | 50.46% | 46 | 90 | 51.11% | 139 | 91 | 138 | 47 | 82 | 40 | 61.9% | 8.1% | 91.2% | 99.3 | DULL | |
| Total | 6 | 2 | 3 | 0 | 1 | 0 | 0 | 0 | 18 | 17 | 1 | 6 | 0.500 | 18 | 32 | 50 | 1 | 0 | 4 | 7 | 6 | 1 | 222 | 61 | 86 | 74 | 1 | 194 | 52 | 53 | 148 | 28 | 5 | 17.86% | 21 | 9 | 57.14% | 0 | 114 | 249 | 45.78% | 109 | 216 | 50.46% | 46 | 90 | 51.11% | 139 | 91 | 138 | 47 | 82 | 40 | 61.9% | 8.1% | 91.2% | 99.3 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 249 |
| Neutral Zone Start | 90 |
| Defensive Zone Start | 216 |
| Puck Time | |
|---|---|
| With Puck | 29 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 269 |
| Faceoffs Lost | 286 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.2 | 9.57 |
| 2nd Period | 24.5 | 20.31 |
| 3rd Period | 36.8 | 30.68 |
| Overtime | 37.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.7 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.8 | 2.67 |
| Overtime | 3.0 | 2.83 |
| Even Strenght Goal | 12 |
|---|---|
| PP Goal | 5 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 2 | 1 |
| Lost | 2 | 1 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 28 |
|---|---|
| PP Goal | 5 |
| PK Attempt | 21 |
| PK Goal Against | 9 |
| Home | |
|---|---|
| Shots For | 37.0 |
| Shots Against | 32.3 |
| Goals For | 3.0 |
| Goals Against | 2.8 |
| Hits | 24.7 |
| Shots Blocked | 8.7 |
| Pim | 8.8 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,356,883$ | 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 |
| 32 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,356,883$ | 2,356,883$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 268,056$ | 13,094$ | 220,830$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 175 | 15,872$ | 2,587,136$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,587,136$ | 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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