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Full Scoreboard »» |
![]() | Hartford Wolf Pack 46-10-2, 94pts · 1st in Conference 1 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Carl Grundstrom | 0 | RW | 100.00 | 85 | 42 | 85 | 73 | 80 | 79 | 84 | 73 | 40 | 66 | 66 | 65 | 71 | 76 | 66 | 1 | 50 | 69 | 27 | 2,198,500$/2yrs | |||
Michael Pezzetta | 0 | LW | 100.00 | 91 | 71 | 70 | 71 | 85 | 73 | 75 | 68 | 44 | 64 | 62 | 67 | 67 | 63 | 53 | 1 | 50 | 67 | 27 | 1,275,000$/1yrs | |||
Oskar Back (R) | 0 | C | 100.00 | 67 | 40 | 87 | 71 | 78 | 75 | 71 | 67 | 71 | 69 | 60 | 70 | 66 | 54 | 50 | 1 | 50 | 66 | 25 | 975,000$/3yrs | |||
Ivan Miroshnichenko | 0 | LW/RW | 100.00 | 69 | 40 | 77 | 74 | 78 | 78 | 63 | 67 | 40 | 63 | 62 | 63 | 67 | 55 | 50 | 1 | 50 | 64 | 21 | 975,000$/2yrs | |||
Brian Pinho | 0 | C/LW/RW | 100.00 | 53 | 41 | 74 | 64 | 62 | 72 | 70 | 65 | 44 | 63 | 60 | 51 | 63 | 63 | 55 | 1 | 50 | 61 | 30 | 1,300,000$/1yrs | |||
Devin Kaplan (R) | 0 | RW | 100.00 | 56 | 40 | 69 | 67 | 75 | 75 | 59 | 62 | 40 | 59 | 59 | 59 | 63 | 51 | 50 | 1 | 50 | 60 | 21 | 921,667$/2yrs | |||
Logan Brown | 0 | C | 100.00 | 61 | 41 | 71 | 59 | 74 | 67 | 64 | 60 | 56 | 58 | 55 | 58 | 58 | 75 | 55 | 1 | 50 | 60 | 27 | 1,280,000$/2yrs | |||
Taylor Ward | 0 | RW | 100.00 | 63 | 47 | 63 | 63 | 66 | 69 | 67 | 63 | 43 | 61 | 56 | 62 | 60 | 55 | 50 | 1 | 50 | 60 | 27 | 1,100,000$/2yrs | |||
William Stromgren (R) | 0 | LW | 100.00 | 58 | 41 | 73 | 65 | 64 | 65 | 63 | 63 | 43 | 64 | 56 | 55 | 61 | 50 | 50 | 1 | 50 | 59 | 22 | 975,000$/3yrs | |||
Reid Schaefer | 0 | LW | 100.00 | 68 | 42 | 66 | 60 | 72 | 59 | 56 | 59 | 42 | 55 | 54 | 60 | 58 | 50 | 50 | 1 | 50 | 58 | 21 | 975,000$/2yrs | |||
Dalibor Dvorsky (R) | 0 | RW | 100.00 | 60 | 41 | 67 | 62 | 63 | 58 | 57 | 62 | 42 | 61 | 60 | 55 | 62 | 50 | 50 | 1 | 50 | 58 | 20 | 975,000$/3yrs | |||
Zac Jones (C) | 0 | D | 100.00 | 64 | 40 | 79 | 76 | 75 | 82 | 76 | 69 | 40 | 68 | 63 | 71 | 69 | 67 | 58 | 1 | 50 | 69 | 24 | 975,000$/1yrs | |||
Gustav Lindström | 0 | D | 100.00 | 66 | 43 | 72 | 70 | 70 | 74 | 70 | 63 | 40 | 59 | 59 | 69 | 64 | 70 | 54 | 1 | 50 | 65 | 26 | 1,000,000$/3yrs | |||
Mark Friedman | 0 | D | 100.00 | 63 | 44 | 72 | 69 | 66 | 74 | 69 | 64 | 40 | 61 | 57 | 69 | 63 | 75 | 56 | 1 | 50 | 65 | 29 | 1,425,000$/2yrs | |||
Tobie Bisson | 0 | D | 100.00 | 62 | 43 | 69 | 67 | 64 | 69 | 68 | 62 | 40 | 58 | 56 | 67 | 61 | 57 | 50 | 1 | 50 | 62 | 28 | 1,000,000$/3yrs | |||
Luke Rowe | 0 | D | 100.00 | 63 | 42 | 66 | 65 | 64 | 65 | 63 | 58 | 40 | 53 | 54 | 66 | 59 | 53 | 50 | 1 | 50 | 60 | 26 | 1,000,000$/3yrs | |||
Jack Millar | 0 | D | 100.00 | 66 | 41 | 68 | 59 | 67 | 63 | 62 | 60 | 40 | 57 | 53 | 65 | 57 | 51 | 50 | 1 | 50 | 60 | 24 | 1,000,000$/3yrs | |||
Donovan Sebrango | 0 | D | 100.00 | 61 | 50 | 60 | 67 | 65 | 62 | 60 | 60 | 40 | 55 | 56 | 65 | 61 | 51 | 50 | 1 | 50 | 60 | 23 | 975,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Oskar Olausson | 0 | RW | 100.00 | 60 | 42 | 71 | 65 | 63 | 62 | 60 | 62 | 43 | 58 | 56 | 56 | 61 | 50 | 50 | 1 | 50 | 58 | 22 | 975,000$/1yrs | |||
Michael Milne | 0 | LW | 100.00 | 56 | 43 | 67 | 65 | 63 | 62 | 60 | 62 | 43 | 56 | 56 | 52 | 61 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/1yrs | |||
Noah Laba (R) | 0 | C/LW/RW | 100.00 | 61 | 40 | 66 | 61 | 62 | 58 | 56 | 56 | 40 | 54 | 54 | 55 | 57 | 50 | 50 | 1 | 50 | 56 | 21 | 975,000$/1yrs | |||
Lucas Edmonds | 0 | RW | 100.00 | 56 | 41 | 72 | 67 | 58 | 63 | 61 | 58 | 42 | 53 | 53 | 55 | 59 | 52 | 50 | 1 | 50 | 56 | 24 | 975,000$/1yrs | |||
Ryder Korczak | 0 | C | 100.00 | 57 | 41 | 71 | 65 | 59 | 62 | 60 | 59 | 43 | 55 | 52 | 54 | 59 | 50 | 50 | 1 | 50 | 56 | 22 | 975,000$/1yrs | |||
Raivis Ansons | 0 | RW | 100.00 | 62 | 42 | 64 | 63 | 65 | 60 | 58 | 55 | 40 | 50 | 51 | 56 | 56 | 51 | 50 | 1 | 50 | 55 | 23 | 975,000$/1yrs | |||
Matt Filipe | 0 | LW | 100.00 | 54 | 41 | 59 | 54 | 57 | 58 | 57 | 53 | 40 | 51 | 52 | 52 | 53 | 54 | 50 | 1 | 50 | 53 | 27 | 975,000$/2yrs | |||
Daniil Chayka | 0 | D | 100.00 | 58 | 41 | 68 | 63 | 66 | 60 | 58 | 55 | 40 | 51 | 51 | 57 | 56 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/1yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Isaac Poulter | 0 | 99.00 | 72 | 63 | 65 | 62 | 67 | 69 | 72 | 68 | 70 | 68 | 59 | 51 | 50 | 1 | 50 | 62 | 23 | 1,435,000$/2yrs |
Nick Grabko | 0 | 100.00 | 61 | 58 | 57 | 62 | 59 | 56 | 56 | 54 | 56 | 59 | 54 | 52 | 50 | 1 | 50 | 53 | 25 | 1,000,000$/1yrs |
| Scratches | ||||||||||||||||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Dan Lambert | 75 | 73 | 68 | 74 | 61 | 57 | 1 | CAN | 55 | 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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Carl Grundstrom | Wolf Pack (NYR) | RW | 58 | 41 | 37 | 78 | 24 | 4 | 0 | 95 | 260 | 85 | 158 | 15.77% | 27 | 20.93 | 13 | 12 | 25 | 1 | 0 | 1 | 46 | 9 | 1 | 43.37% | 1 | 3 | 1.34 | 0 | 5 | 1.56 | |||
| 2 | Oskar Back | Wolf Pack (NYR) | C | 58 | 21 | 54 | 75 | 33 | 28 | 10 | 77 | 184 | 63 | 106 | 11.41% | 36 | 21.69 | 7 | 17 | 24 | 0 | 0 | 0 | 111 | 3 | 0 | 54.87% | 0 | 1 | 1.29 | 1 | 4 | 1.35 | |||
| 3 | Michael Pezzetta | Wolf Pack (NYR) | LW | 58 | 25 | 33 | 58 | 30 | 65 | 25 | 120 | 194 | 46 | 113 | 12.89% | 36 | 21.14 | 6 | 13 | 19 | 1 | 0 | 1 | 123 | 2 | 0 | 44.95% | 0 | 1 | 1.00 | 1 | 5 | 1.06 | |||
| 4 | Ivan Miroshnichenko | Wolf Pack (NYR) | LW/RW | 58 | 26 | 27 | 53 | 17 | 4 | 0 | 99 | 204 | 60 | 131 | 12.75% | 21 | 17.98 | 5 | 8 | 13 | 0 | 0 | 0 | 88 | 8 | 1 | 35.71% | 0 | 0 | 0.91 | 2 | 4 | 1.10 | |||
| 5 | Zac Jones | Wolf Pack (NYR) | D | 58 | 7 | 40 | 47 | 31 | 18 | 0 | 68 | 140 | 57 | 53 | 5.00% | 84 | 27.09 | 5 | 5 | 10 | 0 | 2 | 2 | 139 | 2 | 1 | 0.00% | 0 | 0 | 0.81 | 0 | 1 | 0.97 | |||
| 6 | Brian Pinho | Wolf Pack (NYR) | C/LW/RW | 49 | 20 | 22 | 42 | 23 | 18 | 0 | 71 | 126 | 34 | 72 | 15.87% | 19 | 17.89 | 4 | 7 | 11 | 1 | 1 | 2 | 60 | 2 | 0 | 46.78% | 0 | 0 | 0.86 | 0 | 1 | 0.96 | |||
| 7 | William Stromgren | Wolf Pack (NYR) | LW | 58 | 15 | 23 | 38 | 21 | 28 | 10 | 84 | 132 | 34 | 77 | 11.36% | 14 | 12.74 | 0 | 0 | 0 | 1 | 1 | 2 | 19 | 3 | 0 | 46.67% | 0 | 0 | 0.66 | 0 | 0 | 0.75 | |||
| 8 | Gustav Lindström | Wolf Pack (NYR) | D | 58 | 2 | 31 | 33 | 29 | 57 | 5 | 102 | 90 | 36 | 36 | 2.22% | 81 | 25.60 | 0 | 8 | 8 | 0 | 2 | 2 | 124 | 2 | 0 | 0.00% | 0 | 0 | 0.57 | 0 | 0 | 0.59 | |||
| 9 | Taylor Ward | Wolf Pack (NYR) | RW | 58 | 18 | 13 | 31 | 29 | 20 | 0 | 69 | 122 | 35 | 71 | 14.75% | 11 | 11.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 35.29% | 0 | 0 | 0.53 | 1 | 1 | 0.72 | |||
| 10 | Devin Kaplan | Wolf Pack (NYR) | RW | 58 | 14 | 16 | 30 | 15 | 32 | 10 | 69 | 114 | 37 | 83 | 12.28% | 20 | 14.31 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 2 | 1 | 45.71% | 0 | 0 | 0.52 | 1 | 2 | 0.58 | |||
| 11 | Mark Friedman | Wolf Pack (NYR) | D | 58 | 4 | 24 | 28 | 23 | 20 | 0 | 55 | 64 | 32 | 29 | 6.25% | 38 | 19.63 | 0 | 3 | 3 | 0 | 0 | 0 | 87 | 0 | 0 | 0.00% | 1 | 0 | 0.48 | 0 | 0 | 0.54 | |||
| 12 | Logan Brown | Wolf Pack (NYR) | C | 58 | 7 | 11 | 18 | 11 | 26 | 10 | 76 | 53 | 16 | 43 | 13.21% | 13 | 14.09 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 1 | 0 | 53.89% | 0 | 0 | 0.31 | 0 | 0 | 0.31 | |||
| 13 | Tobie Bisson | Wolf Pack (NYR) | D | 58 | 3 | 15 | 18 | 23 | 30 | 10 | 60 | 59 | 21 | 22 | 5.08% | 53 | 19.78 | 3 | 1 | 4 | 0 | 0 | 0 | 103 | 1 | 0 | 0.00% | 0 | 0 | 0.31 | 0 | 0 | 0.39 | |||
| 14 | Dalibor Dvorsky | Wolf Pack (NYR) | RW | 58 | 10 | 4 | 14 | 2 | 12 | 0 | 59 | 72 | 28 | 38 | 13.89% | 4 | 11.59 | 2 | 3 | 5 | 0 | 0 | 0 | 0 | 3 | 0 | 37.50% | 0 | 0 | 0.24 | 0 | 0 | 0.29 | |||
| 15 | Ryder Korczak | Wolf Pack (NYR) | C | 39 | 5 | 6 | 11 | 18 | 6 | 0 | 34 | 50 | 14 | 34 | 10.00% | 4 | 9.89 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 0 | 41.96% | 0 | 0 | 0.28 | 0 | 0 | 0.47 | |||
| 16 | Reid Schaefer | Wolf Pack (NYR) | LW | 58 | 3 | 6 | 9 | 10 | 10 | 0 | 62 | 54 | 13 | 20 | 5.56% | 6 | 8.36 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 23.08% | 0 | 0 | 0.16 | 0 | 0 | 0.24 | |||
| 17 | Jack Millar | Wolf Pack (NYR) | D | 58 | 1 | 6 | 7 | 24 | 12 | 0 | 34 | 23 | 11 | 10 | 4.35% | 17 | 12.99 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.12 | 0 | 0 | 0.24 | |||
| 18 | Luke Rowe | Wolf Pack (NYR) | D | 58 | 1 | 5 | 6 | 25 | 16 | 0 | 38 | 35 | 8 | 17 | 2.86% | 26 | 13.79 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 0 | 0 | 100.00% | 0 | 0 | 0.10 | 0 | 0 | 0.25 | |||
| 19 | Donovan Sebrango | Wolf Pack (NYR) | D | 19 | 0 | 1 | 1 | 1 | 2 | 0 | 4 | 1 | 1 | 1 | 0.00% | 3 | 5.41 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0.05 | 0 | 0 | 0.05 | |||
| 20 | Michael Milne | Wolf Pack (NYR) | LW | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| Team Total or Average | 1044 | 223 | 374 | 597 | 389 | 408 | 80 | 1276 | 1977 | 631 | 1114 | 11.28% | 513 | 16.49 | 46 | 77 | 123 | 1219 | 4 | 6 | 10 | 1006 | 43 | 6 | 51.06% | 3196 | 441 | 286 | 2 | 5 | 0.69 | 6 | 23 |
| 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 | Isaac Poulter | Wolf Pack (NYR) | 8 | 8 | 0 | 0 | 0.926 | 1.75 | 480 | 0 | 1 | 14 | 188 | 102 | 1 | 0 | 0.000 | 0 | 8 | 50 | 0 | 1 | 0 |
| Team Total or Average | 8 | 8 | 0 | 0 | 0.926 | 1.75 | 480 | 0 | 1 | 14 | 188 | 102 | 1 | 0 | 0.000 | 0 | 8 | 50 | 0 | 1 | 0 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Brian Pinho | C/LW/RW | 30 | 1,300,000$ | 1,300,000$ | UFA | ||||||
| Carl Grundstrom | RW | 27 | 2,198,500$ | 2,198,500$ | 2,198,500$ | UFA | |||||
| Dalibor Dvorsky | RW | 20 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Daniil Chayka | D | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Devin Kaplan | RW | 21 | 921,667$ | 975,000$ | 975,000$ | RFA | |||||
| Donovan Sebrango | D | 23 | 975,000$ | 975,000$ | |||||||
| Gustav Lindström | D | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Isaac Poulter | G | 23 | 1,435,000$ | 1,435,000$ | 1,435,000$ | ||||||
| Ivan Miroshnichenko | LW/RW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Jack Millar | D | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Logan Brown | C | 27 | 1,280,000$ | 1,280,000$ | 1,280,000$ | UFA | |||||
| Lucas Edmonds | RW | 24 | 975,000$ | 975,000$ | |||||||
| Luke Rowe | D | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Mark Friedman | D | 29 | 1,425,000$ | 1,425,000$ | 1,425,000$ | UFA | |||||
| Matt Filipe | LW | 27 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
| Michael Milne | LW | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Michael Pezzetta | LW | 27 | 1,275,000$ | 1,275,000$ | UFA | ||||||
| Nick Grabko | G | 25 | 1,000,000$ | 1,000,000$ | |||||||
| Noah Laba | C/LW/RW | 21 | 975,000$ | 975,000$ | RFA | ||||||
| Oskar Back | C | 25 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
| Oskar Olausson | RW | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Raivis Ansons | RW | 23 | 975,000$ | 975,000$ | |||||||
| Reid Schaefer | LW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Ryder Korczak | C | 22 | 975,000$ | 975,000$ | RFA | ||||||
| Taylor Ward | RW | 27 | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | |||||
| Tobie Bisson | D | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| William Stromgren | LW | 22 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
| Zac Jones | D | 24 | 975,000$ | 975,000$ |
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| Goalies | |||||||
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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 | Moose | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 52 | 86 | 83 | 7 | 77 | 571 | 709 | 689 | 30 | 47 | 12 | 10 | 51 | 4 | 2 | 50.00% | 5 | 0 | 100.00% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 33.3% | 5.2% | 91.5% | 96.7 | DULL |
| 2 | Bruins | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 19 | 12 | 7 | 6 | 0.750 | 19 | 32 | 51 | 0 | 0 | 52 | 86 | 83 | 7 | 132 | 571 | 709 | 689 | 30 | 121 | 50 | 24 | 74 | 10 | 3 | 30.00% | 12 | 3 | 75.00% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 64.0% | 14.4% | 90.1% | 104.5 | FUN |
| 3 | Americans | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 7 | -2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 52 | 86 | 83 | 7 | 71 | 571 | 709 | 689 | 30 | 58 | 20 | 8 | 46 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 45.5% | 7.0% | 87.9% | 95.0 | Unlucky |
| 4 | Heat | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 15 | 24 | 0 | 1 | 52 | 86 | 83 | 7 | 70 | 571 | 709 | 689 | 30 | 34 | 12 | 10 | 61 | 8 | 2 | 25.00% | 5 | 0 | 100.00% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 77.8% | 12.9% | 94.1% | 107.0 | LUCKY |
| 5 | Wolves | 5 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 19 | 9 | 10 | 8 | 0.800 | 19 | 30 | 49 | 0 | 0 | 52 | 86 | 83 | 7 | 159 | 571 | 709 | 689 | 30 | 154 | 63 | 30 | 102 | 13 | 4 | 30.77% | 15 | 2 | 86.67% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 68.2% | 11.9% | 94.2% | 106.1 | LUCKY |
| 6 | IceHogs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 52 | 86 | 83 | 7 | 66 | 571 | 709 | 689 | 30 | 65 | 23 | 9 | 43 | 6 | 2 | 33.33% | 2 | 1 | 50.00% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 33.3% | 7.6% | 89.2% | 96.8 | Unlucky |
| 7 | Eagles | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 52 | 86 | 83 | 7 | 36 | 571 | 709 | 689 | 30 | 23 | 9 | 4 | 14 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 50.0% | 16.7% | 82.6% | 99.3 | FUN |
| 8 | Monsters | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 52 | 86 | 83 | 7 | 33 | 571 | 709 | 689 | 30 | 16 | 6 | 14 | 11 | 0 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 100.0% | 12.1% | 87.5% | 99.6 | FUN |
| 9 | Stars | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 3 | 8 | 4 | 1.000 | 11 | 19 | 30 | 0 | 0 | 52 | 86 | 83 | 7 | 78 | 571 | 709 | 689 | 30 | 44 | 12 | 12 | 42 | 8 | 1 | 12.50% | 6 | 1 | 83.33% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 83.3% | 14.1% | 93.2% | 107.3 | LUCKY |
| 10 | Griffins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 52 | 86 | 83 | 7 | 78 | 571 | 709 | 689 | 30 | 75 | 20 | 17 | 35 | 3 | 1 | 33.33% | 6 | 1 | 83.33% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 46.2% | 9.0% | 89.3% | 98.3 | FUN |
| 11 | Condors | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 3 | 4 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 52 | 86 | 83 | 7 | 81 | 571 | 709 | 689 | 30 | 45 | 11 | 32 | 40 | 7 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 70.0% | 8.6% | 93.3% | 102.0 | DULL |
| 12 | Checkers 1 | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 5 | 12 | 8 | 1.000 | 17 | 30 | 47 | 0 | 1 | 52 | 86 | 83 | 7 | 108 | 571 | 709 | 689 | 30 | 55 | 20 | 22 | 103 | 12 | 3 | 25.00% | 6 | 1 | 83.33% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 77.8% | 15.7% | 90.9% | 106.6 | FUN |
| 13 | Reign | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 52 | 86 | 83 | 7 | 44 | 571 | 709 | 689 | 30 | 19 | 3 | 2 | 19 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 80.0% | 11.4% | 94.7% | 106.1 | LUCKY |
| 14 | Wild | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 52 | 86 | 83 | 7 | 79 | 571 | 709 | 689 | 30 | 33 | 5 | 23 | 40 | 7 | 1 | 14.29% | 4 | 1 | 75.00% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 55.6% | 7.6% | 84.8% | 92.4 | Unlucky |
| 15 | Admirals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 52 | 86 | 83 | 7 | 45 | 571 | 709 | 689 | 30 | 18 | 11 | 7 | 17 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 100.0% | 6.7% | 94.4% | 101.1 | DULL |
| 16 | Comets | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 1 | 52 | 86 | 83 | 7 | 83 | 571 | 709 | 689 | 30 | 27 | 13 | 8 | 57 | 5 | 3 | 60.00% | 4 | 1 | 75.00% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 62.5% | 9.6% | 85.2% | 94.8 | FUN |
| 17 | Islanders | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 10 | 8 | 6 | 0.750 | 18 | 30 | 48 | 0 | 1 | 52 | 86 | 83 | 7 | 121 | 571 | 709 | 689 | 30 | 75 | 23 | 18 | 100 | 13 | 5 | 38.46% | 9 | 2 | 77.78% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 61.9% | 14.9% | 86.7% | 101.5 | FUN |
| 18 | Belleville Senators | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 52 | 86 | 83 | 7 | 59 | 571 | 709 | 689 | 30 | 50 | 26 | 14 | 44 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 1 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 66.7% | 11.9% | 92.0% | 103.9 | LUCKY |
| 19 | Phantoms | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 5 | 7 | 6 | 1.000 | 12 | 21 | 33 | 0 | 1 | 52 | 86 | 83 | 7 | 111 | 571 | 709 | 689 | 30 | 67 | 23 | 22 | 73 | 10 | 4 | 40.00% | 6 | 0 | 100.00% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 61.5% | 10.8% | 92.5% | 103.3 | LUCKY |
| 20 | Roadrunners | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 52 | 86 | 83 | 7 | 31 | 571 | 709 | 689 | 30 | 27 | 8 | 6 | 18 | 3 | 2 | 66.67% | 3 | 1 | 66.67% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 66.7% | 12.9% | 92.6% | 105.5 | LUCKY |
| 21 | Penguins | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 10 | -2 | 2 | 0.333 | 8 | 10 | 18 | 1 | 0 | 52 | 86 | 83 | 7 | 92 | 571 | 709 | 689 | 30 | 105 | 43 | 42 | 63 | 14 | 2 | 14.29% | 11 | 3 | 72.73% | 2 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 46.2% | 8.7% | 90.5% | 99.2 | Unlucky |
| 22 | Barracuda | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 52 | 86 | 83 | 7 | 29 | 571 | 709 | 689 | 30 | 27 | 6 | 4 | 27 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 100.0% | 6.9% | 96.3% | 103.2 | DULL |
| 23 | Thunderbirds | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 52 | 86 | 83 | 7 | 77 | 571 | 709 | 689 | 30 | 72 | 34 | 10 | 29 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 64.3% | 13.0% | 93.1% | 106.0 | LUCKY |
| 24 | Crunch | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 52 | 86 | 83 | 7 | 36 | 571 | 709 | 689 | 30 | 34 | 14 | 4 | 19 | 4 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 60.0% | 16.7% | 85.3% | 102.0 | FUN |
| 25 | Canucks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 52 | 86 | 83 | 7 | 27 | 571 | 709 | 689 | 30 | 30 | 10 | 13 | 24 | 1 | 1 | 100.00% | 4 | 0 | 100.00% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 75.0% | 14.8% | 96.7% | 111.5 | LUCKY |
| 26 | Hershey Bears | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 16 | 4 | 12 | 8 | 1.000 | 16 | 26 | 42 | 0 | 1 | 52 | 86 | 83 | 7 | 127 | 571 | 709 | 689 | 30 | 73 | 27 | 37 | 102 | 15 | 4 | 26.67% | 11 | 1 | 90.91% | 0 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 80.0% | 12.6% | 94.5% | 107.1 | LUCKY |
| 27 | Checkers 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 4 | 8 | 0 | 0 | 52 | 86 | 83 | 7 | 27 | 571 | 709 | 689 | 30 | 35 | 9 | 10 | 22 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 1 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 75.0% | 14.8% | 94.3% | 109.1 | LUCKY |
| _Vs Division | 15 | 20 | 5 | 0 | 1 | 0 | 1 | 0 | 61 | 41 | 20 | 44 | 1.467 | 61 | 104 | 165 | 0 | 1 | 52 | 86 | 83 | 7 | 484 | 571 | 709 | 689 | 30 | 393 | 150 | 89 | 321 | 37 | 8 | 21.62% | 36 | 8 | 77.78% | 1 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 61.6% | 12.6% | 89.6% | 102.2 | FUN | |
| _Vs Conference | 36 | 26 | 5 | 0 | 2 | 0 | 1 | 2 | 143 | 78 | 65 | 60 | 0.833 | 143 | 236 | 379 | 1 | 5 | 52 | 86 | 83 | 7 | 1159 | 571 | 709 | 689 | 30 | 865 | 338 | 256 | 818 | 105 | 30 | 28.57% | 97 | 18 | 81.44% | 3 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 65.3% | 12.3% | 91.0% | 103.3 | FUN | |
| _Since Last GM Reset | 58 | 41 | 10 | 0 | 2 | 0 | 3 | 2 | 226 | 126 | 100 | 94 | 0.810 | 226 | 374 | 600 | 1 | 6 | 52 | 86 | 83 | 7 | 1977 | 571 | 709 | 689 | 30 | 1429 | 513 | 412 | 1276 | 168 | 46 | 27.38% | 150 | 26 | 82.67% | 4 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 64.3% | 11.4% | 91.2% | 102.6 | LUCKY | |
| Total | 58 | 41 | 10 | 0 | 2 | 0 | 3 | 2 | 226 | 126 | 100 | 94 | 0.810 | 226 | 374 | 600 | 1 | 6 | 52 | 86 | 83 | 7 | 1977 | 571 | 709 | 689 | 30 | 1429 | 513 | 412 | 1276 | 168 | 46 | 27.38% | 150 | 26 | 82.67% | 4 | 643 | 1286 | 50.00% | 563 | 1090 | 51.65% | 426 | 806 | 52.85% | 1258 | 687 | 1088 | 570 | 1158 | 559 | 64.3% | 11.4% | 91.2% | 102.6 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 21 |
| Neutral Zone | 19 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1286 |
| Neutral Zone Start | 806 |
| Defensive Zone Start | 1090 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 1632 |
| Faceoffs Lost | 1550 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.8 | 9.57 |
| 2nd Period | 22.1 | 20.31 |
| 3rd Period | 33.9 | 30.68 |
| Overtime | 34.5 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.9 | 0.64 |
| 2nd Period | 2.4 | 1.65 |
| 3rd Period | 3.8 | 2.67 |
| Overtime | 3.9 | 2.83 |
| Even Strenght Goal | 175 |
|---|---|
| PP Goal | 46 |
| PK Goal | 4 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 23 | 23 |
| Lost | 5 | 5 |
| Overtime Lost | 1 | 1 |
| PP Attempt | 168 |
|---|---|
| PP Goal | 46 |
| PK Attempt | 150 |
| PK Goal Against | 26 |
| Home | |
|---|---|
| Shots For | 34.1 |
| Shots Against | 24.6 |
| Goals For | 3.9 |
| Goals Against | 2.2 |
| Hits | 22.0 |
| Shots Blocked | 8.8 |
| Pim | 7.1 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,061,350$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Hartford | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| 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 |
| 12 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,061,350$ | 3,061,350$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,578,630$ | 0$ | 2,229,468$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 74 | 21,073$ | 1,074,723$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,074,723$ | 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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