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Full Scoreboard »» |
![]() | Hartford Wolf Pack 24-4-2, 50pts · 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$/3yrs | |||
Ryder Korczak | 0 | C | 100.00 | 57 | 41 | 71 | 65 | 59 | 62 | 60 | 59 | 43 | 55 | 52 | 54 | 59 | 50 | 50 | 1 | 50 | 56 | 22 | 975,000$/1yrs | |||
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 | |||
| 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 | |||
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 | |||
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$/1yrs | |||
Daniil Chayka | 0 | D | 100.00 | 58 | 41 | 68 | 63 | 66 | 60 | 58 | 55 | 40 | 51 | 51 | 57 | 56 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Lyon | 0 | 98.00 | 83 | 85 | 86 | 78 | 87 | 84 | 79 | 82 | 82 | 85 | 79 | 79 | 72 | 1 | 50 | 76 | 32 | 2,450,000$/1yrs |
Isaac Poulter | 0 | 100.00 | 72 | 63 | 65 | 62 | 67 | 69 | 72 | 68 | 70 | 68 | 59 | 51 | 50 | 1 | 50 | 62 | 23 | 1,435,000$/2yrs |
| 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 | 30 | 23 | 21 | 44 | 21 | 4 | 0 | 41 | 143 | 47 | 80 | 16.08% | 11 | 19.15 | 5 | 6 | 11 | 0 | 0 | 0 | 0 | 3 | 1 | 39.53% | 0 | 2 | 1.47 | 0 | 4 | 1.75 | |||
| 2 | Oskar Back | Wolf Pack (NYR) | C | 30 | 11 | 31 | 42 | 21 | 7 | 5 | 42 | 103 | 36 | 60 | 10.68% | 22 | 23.04 | 5 | 7 | 12 | 0 | 0 | 0 | 67 | 1 | 0 | 52.93% | 0 | 1 | 1.40 | 1 | 4 | 1.52 | |||
| 3 | Michael Pezzetta | Wolf Pack (NYR) | LW | 30 | 14 | 21 | 35 | 19 | 34 | 10 | 63 | 99 | 26 | 61 | 14.14% | 21 | 21.33 | 3 | 9 | 12 | 0 | 0 | 0 | 58 | 2 | 0 | 41.07% | 0 | 0 | 1.17 | 0 | 4 | 1.21 | |||
| 4 | Ivan Miroshnichenko | Wolf Pack (NYR) | LW/RW | 30 | 12 | 15 | 27 | 8 | 0 | 0 | 47 | 105 | 39 | 62 | 11.43% | 15 | 17.76 | 2 | 4 | 6 | 0 | 0 | 0 | 46 | 3 | 0 | 33.33% | 0 | 0 | 0.90 | 2 | 4 | 1.09 | |||
| 5 | Zac Jones | Wolf Pack (NYR) | D | 30 | 3 | 22 | 25 | 22 | 8 | 0 | 39 | 63 | 37 | 30 | 4.76% | 49 | 26.98 | 2 | 2 | 4 | 0 | 0 | 0 | 68 | 1 | 0 | 0.00% | 0 | 0 | 0.83 | 0 | 1 | 1.05 | |||
| 6 | Gustav Lindström | Wolf Pack (NYR) | D | 30 | 2 | 19 | 21 | 21 | 18 | 0 | 65 | 47 | 18 | 18 | 4.26% | 42 | 26.95 | 0 | 5 | 5 | 0 | 0 | 0 | 62 | 2 | 0 | 0.00% | 0 | 0 | 0.70 | 0 | 0 | 0.83 | |||
| 7 | William Stromgren | Wolf Pack (NYR) | LW | 30 | 6 | 14 | 20 | 10 | 5 | 5 | 48 | 75 | 21 | 41 | 8.00% | 11 | 12.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 58.33% | 0 | 0 | 0.67 | 0 | 0 | 0.82 | |||
| 8 | Brian Pinho | Wolf Pack (NYR) | C/LW/RW | 21 | 11 | 7 | 18 | 12 | 6 | 0 | 32 | 65 | 20 | 29 | 16.92% | 7 | 17.71 | 2 | 2 | 4 | 0 | 0 | 0 | 30 | 1 | 0 | 46.61% | 0 | 0 | 0.86 | 0 | 1 | 1.07 | |||
| 9 | Mark Friedman | Wolf Pack (NYR) | D | 30 | 2 | 15 | 17 | 15 | 10 | 0 | 26 | 34 | 13 | 17 | 5.88% | 19 | 19.76 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 0 | 0 | 0.00% | 0 | 0 | 0.57 | 0 | 0 | 0.62 | |||
| 10 | Taylor Ward | Wolf Pack (NYR) | RW | 30 | 12 | 4 | 16 | 16 | 12 | 0 | 38 | 66 | 15 | 39 | 18.18% | 5 | 11.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 42.86% | 0 | 0 | 0.53 | 0 | 0 | 0.74 | |||
| 11 | Devin Kaplan | Wolf Pack (NYR) | RW | 30 | 9 | 6 | 15 | 2 | 13 | 5 | 37 | 63 | 21 | 54 | 14.29% | 13 | 13.95 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 0 | 46.43% | 0 | 0 | 0.50 | 1 | 2 | 0.56 | |||
| 12 | Dalibor Dvorsky | Wolf Pack (NYR) | RW | 30 | 7 | 3 | 10 | 13 | 8 | 0 | 30 | 45 | 14 | 23 | 15.56% | 4 | 12.68 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 3 | 0 | 27.27% | 0 | 0 | 0.33 | 0 | 0 | 0.50 | |||
| 13 | Tobie Bisson | Wolf Pack (NYR) | D | 30 | 2 | 8 | 10 | 14 | 16 | 10 | 33 | 37 | 12 | 13 | 5.41% | 28 | 19.89 | 2 | 0 | 2 | 0 | 0 | 0 | 53 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.45 | |||
| 14 | Logan Brown | Wolf Pack (NYR) | C | 30 | 3 | 6 | 9 | 0 | 11 | 5 | 44 | 24 | 9 | 24 | 12.50% | 8 | 14.54 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0 | 0 | 53.13% | 0 | 0 | 0.30 | 0 | 0 | 0.25 | |||
| 15 | Ryder Korczak | Wolf Pack (NYR) | C | 29 | 2 | 4 | 6 | 13 | 6 | 0 | 32 | 36 | 10 | 27 | 5.56% | 2 | 10.37 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 41.18% | 0 | 0 | 0.21 | 0 | 0 | 0.40 | |||
| 16 | Reid Schaefer | Wolf Pack (NYR) | LW | 30 | 0 | 5 | 5 | 11 | 4 | 0 | 35 | 32 | 8 | 10 | 0.00% | 2 | 8.76 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 12.50% | 0 | 0 | 0.17 | 0 | 0 | 0.33 | |||
| 17 | Jack Millar | Wolf Pack (NYR) | D | 30 | 1 | 3 | 4 | 11 | 6 | 0 | 20 | 16 | 5 | 7 | 6.25% | 13 | 13.19 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.13 | 0 | 0 | 0.25 | |||
| 18 | Luke Rowe | Wolf Pack (NYR) | D | 30 | 0 | 2 | 2 | 11 | 12 | 0 | 18 | 18 | 6 | 10 | 0.00% | 15 | 13.71 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 100.00% | 0 | 0 | 0.07 | 0 | 0 | 0.18 | |||
| 19 | Donovan Sebrango | Wolf Pack (NYR) | D | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 1 | 10.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.43 | |||
| 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 | 540 | 120 | 206 | 326 | 241 | 180 | 40 | 691 | 1071 | 357 | 605 | 11.20% | 288 | 16.54 | 22 | 37 | 59 | 636 | 0 | 0 | 0 | 488 | 22 | 3 | 49.82% | 1686 | 250 | 150 | 0 | 3 | 0.73 | 4 | 20 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Alex Lyon | Wolf Pack (NYR) | 29 | 23 | 4 | 2 | 0.916 | 2.05 | 1758 | 4 | 4 | 60 | 717 | 343 | 5 | 0 | 0.800 | 20 | 29 | 1 | 2 | 1 | 2 |
| 2 | Isaac Poulter | Wolf Pack (NYR) | 1 | 1 | 0 | 0 | 0.962 | 1.00 | 60 | 0 | 0 | 1 | 26 | 14 | 0 | 0 | 0.000 | 0 | 1 | 29 | 0 | 1 | 0 |
| Team Total or Average | 30 | 24 | 4 | 2 | 0.918 | 2.01 | 1818 | 4 | 4 | 61 | 743 | 357 | 5 | 0 | 0.800 | 20 | 30 | 30 | 2 | 2 | 2 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Lyon | G | 32 | 2,450,000$ | 2,450,000$ | UFA | ||||||
| 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$ | RFA | ||||||
| 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 | ||||||
| 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$ | RFA | ||||||
| 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 | 32 | 41 | 47 | 4 | 77 | 320 | 367 | 379 | 25 | 47 | 12 | 10 | 51 | 4 | 2 | 50.00% | 5 | 0 | 100.00% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 33.3% | 5.2% | 91.5% | 96.7 | DULL |
| 2 | Bruins | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 9 | 5 | 4 | 0.667 | 14 | 24 | 38 | 0 | 0 | 32 | 41 | 47 | 4 | 98 | 320 | 367 | 379 | 25 | 85 | 30 | 20 | 57 | 7 | 2 | 28.57% | 10 | 2 | 80.00% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 63.2% | 14.3% | 89.4% | 103.7 | FUN |
| 3 | Americans | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 7 | -2 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 32 | 41 | 47 | 4 | 71 | 320 | 367 | 379 | 25 | 58 | 20 | 8 | 46 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 45.5% | 7.0% | 87.9% | 95.0 | Unlucky |
| 4 | Heat | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 32 | 41 | 47 | 4 | 36 | 320 | 367 | 379 | 25 | 18 | 7 | 4 | 27 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 71.4% | 16.7% | 88.9% | 105.6 | FUN |
| 5 | Wolves | 4 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 18 | 7 | 11 | 8 | 1.000 | 18 | 28 | 46 | 0 | 0 | 32 | 41 | 47 | 4 | 134 | 320 | 367 | 379 | 25 | 115 | 50 | 22 | 83 | 12 | 4 | 33.33% | 11 | 1 | 90.91% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 70.0% | 13.4% | 93.9% | 107.3 | LUCKY |
| 6 | IceHogs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 32 | 41 | 47 | 4 | 32 | 320 | 367 | 379 | 25 | 31 | 10 | 7 | 23 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 33.3% | 3.1% | 93.5% | 96.7 | DULL |
| 7 | Stars | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 32 | 41 | 47 | 4 | 35 | 320 | 367 | 379 | 25 | 24 | 6 | 6 | 24 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 71.4% | 17.1% | 91.7% | 108.8 | LUCKY |
| 8 | Griffins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 32 | 41 | 47 | 4 | 43 | 320 | 367 | 379 | 25 | 39 | 11 | 11 | 20 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 66.7% | 9.3% | 92.3% | 101.6 | LUCKY |
| 9 | Wild | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 32 | 41 | 47 | 4 | 44 | 320 | 367 | 379 | 25 | 14 | 2 | 2 | 26 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 66.7% | 11.4% | 85.7% | 97.1 | FUN |
| 10 | Admirals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 32 | 41 | 47 | 4 | 45 | 320 | 367 | 379 | 25 | 18 | 11 | 7 | 17 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 100.0% | 6.7% | 94.4% | 101.1 | DULL |
| 11 | Comets | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 4 | 4 | 4 | 1.000 | 8 | 15 | 23 | 0 | 1 | 32 | 41 | 47 | 4 | 83 | 320 | 367 | 379 | 25 | 27 | 13 | 8 | 57 | 5 | 3 | 60.00% | 4 | 1 | 75.00% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 62.5% | 9.6% | 85.2% | 94.8 | FUN |
| 12 | Islanders | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 4 | 8 | 4 | 1.000 | 12 | 22 | 34 | 0 | 1 | 32 | 41 | 47 | 4 | 71 | 320 | 367 | 379 | 25 | 34 | 14 | 8 | 46 | 6 | 2 | 33.33% | 4 | 1 | 75.00% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 76.9% | 16.9% | 88.2% | 105.1 | FUN |
| 13 | Phantoms | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 4 | 1.000 | 8 | 13 | 21 | 0 | 1 | 32 | 41 | 47 | 4 | 73 | 320 | 367 | 379 | 25 | 47 | 18 | 18 | 51 | 6 | 2 | 33.33% | 4 | 0 | 100.00% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 75.0% | 11.0% | 95.7% | 106.7 | LUCKY |
| 14 | Penguins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 32 | 41 | 47 | 4 | 39 | 320 | 367 | 379 | 25 | 32 | 19 | 4 | 22 | 5 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 50.0% | 5.1% | 90.6% | 95.8 | Unlucky |
| 15 | Barracuda | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 32 | 41 | 47 | 4 | 29 | 320 | 367 | 379 | 25 | 27 | 6 | 4 | 27 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 100.0% | 6.9% | 96.3% | 103.2 | DULL |
| 16 | Thunderbirds | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 32 | 41 | 47 | 4 | 31 | 320 | 367 | 379 | 25 | 31 | 20 | 8 | 13 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 66.7% | 12.9% | 93.5% | 106.5 | LUCKY |
| 17 | Crunch | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 32 | 41 | 47 | 4 | 36 | 320 | 367 | 379 | 25 | 34 | 14 | 4 | 19 | 4 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 60.0% | 16.7% | 85.3% | 102.0 | FUN |
| 18 | Hershey Bears | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 3 | 11 | 6 | 1.000 | 14 | 23 | 37 | 0 | 1 | 32 | 41 | 47 | 4 | 94 | 320 | 367 | 379 | 25 | 62 | 25 | 33 | 82 | 15 | 4 | 26.67% | 9 | 0 | 100.00% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 76.9% | 14.9% | 95.2% | 110.1 | LUCKY |
| _Vs Division | 7 | 12 | 2 | 0 | 0 | 0 | 1 | 0 | 29 | 24 | 5 | 26 | 1.857 | 29 | 50 | 79 | 0 | 0 | 32 | 41 | 47 | 4 | 248 | 320 | 367 | 379 | 25 | 216 | 75 | 43 | 142 | 14 | 2 | 14.29% | 18 | 5 | 72.22% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 58.7% | 11.7% | 88.9% | 100.6 | FUN | |
| _Vs Conference | 20 | 15 | 2 | 0 | 0 | 0 | 1 | 2 | 87 | 44 | 43 | 34 | 0.850 | 87 | 148 | 235 | 0 | 4 | 32 | 41 | 47 | 4 | 699 | 320 | 367 | 379 | 25 | 494 | 203 | 125 | 463 | 62 | 17 | 27.42% | 49 | 8 | 83.67% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 66.0% | 12.4% | 91.1% | 103.5 | Unlucky | |
| _Since Last GM Reset | 30 | 22 | 4 | 0 | 0 | 0 | 2 | 2 | 122 | 63 | 59 | 50 | 0.833 | 122 | 206 | 328 | 0 | 4 | 32 | 41 | 47 | 4 | 1071 | 320 | 367 | 379 | 25 | 743 | 288 | 184 | 691 | 89 | 22 | 24.72% | 71 | 11 | 84.51% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 65.8% | 11.4% | 91.5% | 102.9 | LUCKY | |
| Total | 30 | 22 | 4 | 0 | 0 | 0 | 2 | 2 | 122 | 63 | 59 | 50 | 0.833 | 122 | 206 | 328 | 0 | 4 | 32 | 41 | 47 | 4 | 1071 | 320 | 367 | 379 | 25 | 743 | 288 | 184 | 691 | 89 | 22 | 24.72% | 71 | 11 | 84.51% | 0 | 327 | 667 | 49.03% | 292 | 573 | 50.96% | 221 | 434 | 50.92% | 663 | 366 | 561 | 292 | 595 | 290 | 65.8% | 11.4% | 91.5% | 102.9 | LUCKY |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 19 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 667 |
| Neutral Zone Start | 434 |
| Defensive Zone Start | 573 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 840 |
| Faceoffs Lost | 834 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 10.7 | 9.57 |
| 2nd Period | 22.9 | 20.31 |
| 3rd Period | 35.5 | 30.68 |
| Overtime | 36.4 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.1 | 0.64 |
| 2nd Period | 2.4 | 1.65 |
| 3rd Period | 4.0 | 2.67 |
| Overtime | 4.1 | 2.83 |
| Even Strenght Goal | 100 |
|---|---|
| PP Goal | 22 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 12 | 12 |
| Lost | 2 | 2 |
| Overtime Lost | 1 | 1 |
| PP Attempt | 89 |
|---|---|
| PP Goal | 22 |
| PK Attempt | 71 |
| PK Goal Against | 11 |
| Home | |
|---|---|
| Shots For | 35.7 |
| Shots Against | 24.8 |
| Goals For | 4.1 |
| Goals Against | 2.1 |
| Hits | 23.0 |
| Shots Blocked | 9.6 |
| Pim | 6.1 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Wed, Oct 8 | CAR | @ | NYR | CAR3,NYR5 | RECAP | |||||||||
| Fri, Oct 10 | NYR | @ | WAS | NYR3,WAS0 | RECAP | |||||||||
| Mon, Oct 13 | WAS | @ | NYR | WAS2,NYR7 | RECAP | |||||||||
| Wed, Oct 15 | NYR | @ | BOS | NYR3,BOS6 | RECAP | |||||||||
| Fri, Oct 17 | BOS | @ | NYR | BOS1,NYR5 | RECAP | |||||||||
| Sun, Oct 19 | NYR | @ | BUF | NYR2,BUF3 (SO) | RECAP | |||||||||
| Tue, Oct 21 | NYR | @ | NYI | NYR4,NYI0 | RECAP | |||||||||
| Thu, Oct 23 | NYR | @ | WPG | NYR3,WPG2 (SO) | RECAP | |||||||||
| Fri, Oct 24 | CAR | @ | NYR | CAR1,NYR2 (SO) | RECAP | |||||||||
| Mon, Oct 27 | CHI | @ | NYR | CHI2,NYR1 | RECAP | |||||||||
| Wed, Oct 29 | NYR | @ | PHI | NYR4,PHI0 | RECAP | |||||||||
| Fri, Oct 31 | NYI | @ | NYR | NYI4,NYR8 | RECAP | |||||||||
| Sun, Nov 2 | NYR | @ | PIT | NYR2,PIT3 | RECAP | |||||||||
| Mon, Nov 3 | WAS | @ | NYR | WAS1,NYR4 | RECAP | |||||||||
| Thu, Nov 6 | WPG | @ | NYR | WPG2,NYR1 | RECAP | |||||||||
| Sun, Nov 9 | NYR | @ | CAR | NYR5,CAR2 | RECAP | |||||||||
| Mon, Nov 10 | S J | @ | NYR | S J1,NYR2 | RECAP | |||||||||
| Wed, Nov 12 | CAR | @ | NYR | CAR1,NYR6 | RECAP | |||||||||
| Fri, Nov 14 | NYR | @ | MIN | NYR5,MIN2 | RECAP | |||||||||
| Sun, Nov 16 | NYR | @ | DAL | NYR6,DAL2 | RECAP | |||||||||
| Mon, Nov 17 | NYR | @ | BOS | NYR6,BOS2 | RECAP | |||||||||
| Wed, Nov 19 | BUF | @ | NYR | BUF4,NYR3 (SO) | RECAP | |||||||||
| Sat, Nov 22 | NYR | @ | NAS | NYR3,NAS1 | RECAP | |||||||||
| Sun, Nov 23 | PHI | @ | NYR | PHI2,NYR4 | RECAP | |||||||||
| Wed, Nov 26 | NYR | @ | NJD | NYR5,NJD4 | RECAP | |||||||||
| Thu, Nov 27 | NJD | @ | NYR | NJD0,NYR3 | RECAP | |||||||||
| Sat, Nov 29 | CAL | @ | NYR | CAL2,NYR6 | RECAP | |||||||||
| Mon, Dec 1 | NYR | @ | TAM | NYR6,TAM5 | RECAP | |||||||||
| Wed, Dec 3 | STL | @ | NYR | STL2,NYR4 | RECAP | |||||||||
| Sat, Dec 6 | NYR | @ | DET | NYR4,DET3 | RECAP | |||||||||
| Mon, Dec 8 | OTT | @ | NYR | |||||||||||
| Wed, Dec 10 | NYR | @ | EDM | |||||||||||
| Fri, Dec 12 | NYR | @ | STL | |||||||||||
| Sat, Dec 13 | MIN | @ | NYR | |||||||||||
| Tue, Dec 16 | NYR | @ | CAL | |||||||||||
| Wed, Dec 17 | DET | @ | NYR | |||||||||||
| Fri, Dec 19 | NYR | @ | PIT | |||||||||||
| Sun, Dec 21 | FLO | @ | NYR | |||||||||||
| Wed, Dec 24 | NYR | @ | PHI | |||||||||||
| Fri, Dec 26 | DAL | @ | NYR | |||||||||||
| Sun, Dec 28 | NYR | @ | FLO | |||||||||||
| Tue, Dec 30 | CHI | @ | NYR | |||||||||||
| Thu, Jan 1 | NYR | @ | CAR | |||||||||||
| Sun, Jan 4 | PIT | @ | NYR | |||||||||||
| Tue, Jan 6 | NYR | @ | SEA | |||||||||||
| Thu, Jan 8 | FLO | @ | NYR | |||||||||||
| Sun, Jan 11 | LOS | @ | NYR | |||||||||||
| Mon, Jan 12 | NYR | @ | NYI | |||||||||||
| Thu, Jan 15 | WAS | @ | NYR | |||||||||||
| Sat, Jan 17 | NYR | @ | PHO | |||||||||||
| Sun, Jan 18 | COL | @ | NYR | |||||||||||
| Wed, Jan 21 | NYR | @ | VAN | |||||||||||
| Fri, Jan 23 | EDM | @ | NYR | |||||||||||
| Sun, Jan 25 | NYR | @ | FLO | |||||||||||
| Mon, Jan 26 | NYR | @ | CLB | |||||||||||
| Wed, Jan 28 | NYI | @ | NYR | |||||||||||
| Fri, Jan 30 | BOS | @ | NYR | |||||||||||
| Sun, Feb 1 | NYR | @ | OTT | |||||||||||
| Wed, Feb 4 | ANA | @ | NYR | |||||||||||
| Thu, Feb 5 | NYR | @ | WPG | |||||||||||
| Sat, Feb 7 | NYR | @ | TOR | |||||||||||
| Mon, Feb 9 | TAM | @ | NYR | |||||||||||
| Wed, Feb 11 | PIT | @ | NYR | |||||||||||
| Sat, Feb 14 | NYR | @ | COL | |||||||||||
| Sun, Feb 15 | NYR | @ | CHI | |||||||||||
| Mon, Feb 16 | NYR | @ | LOS | |||||||||||
| Wed, Feb 18 | PHI | @ | NYR | |||||||||||
| Fri, Feb 20 | CHI | @ | NYR | |||||||||||
| Mon, Feb 23 | NYR | @ | S J | |||||||||||
| Tue, Feb 24 | MTL | @ | NYR | |||||||||||
| Thu, Feb 26 | NYR | @ | MTL | |||||||||||
| Sat, Feb 28 | CLB | @ | NYR | |||||||||||
| Tue, Mar 3 | NYR | @ | WAS | |||||||||||
| Wed, Mar 4 | TOR | @ | NYR | |||||||||||
| Sat, Mar 7 | PHO | @ | NYR | |||||||||||
| Sun, Mar 8 | NYR | @ | CHI | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Thu, Mar 12 | NAS | @ | NYR | |||||||||||
| Sun, Mar 15 | VAN | @ | NYR | |||||||||||
| Mon, Mar 16 | NYR | @ | WAS | |||||||||||
| Fri, Mar 20 | SEA | @ | NYR | |||||||||||
| Mon, Mar 23 | NYR | @ | ANA | |||||||||||
| Tue, Mar 24 | NYR | @ | BUF | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,206,350$ | 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 |
| 26 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,206,350$ | 3,206,350$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,337,143$ | 0$ | 1,156,644$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 131 | 21,931$ | 2,368,548$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 2,368,548$ | 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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