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![]() | Hartford Wolf Pack 3-4-0, 6pts · 2nd 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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$/1yrs | |||
Joshua Roy | 0 | LW/RW | 100.00 | 62 | 41 | 76 | 70 | 69 | 69 | 62 | 65 | 42 | 62 | 62 | 62 | 65 | 52 | 50 | 1 | 50 | 62 | 21 | 975,000$/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$/3yrs | |||
Niko Huuhtanen (R) | 0 | RW | 100.00 | 64 | 42 | 62 | 62 | 64 | 61 | 60 | 60 | 42 | 57 | 55 | 62 | 59 | 50 | 50 | 1 | 50 | 58 | 22 | 867,500$/2yrs | |||
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$/1yrs | |||
Noah Laba (R) | 0 | C/LW/RW | 100.00 | 61 | 40 | 66 | 61 | 62 | 58 | 56 | 56 | 40 | 54 | 54 | 55 | 57 | 50 | 50 | 1 | 50 | 56 | 21 | 975,000$/1yrs | |||
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 | ||||||||||||||||||||||||||
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$/1yrs | |||
Lucas Edmonds | 0 | RW | 100.00 | 56 | 41 | 72 | 67 | 58 | 63 | 61 | 58 | 42 | 53 | 53 | 55 | 59 | 52 | 50 | 1 | 50 | 56 | 24 | 975,000$/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 | 100.00 | 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 | Michael Pezzetta | Wolf Pack (NYR) | LW | 7 | 4 | 2 | 6 | 1 | 19 | 5 | 15 | 24 | 7 | 15 | 16.67% | 0 | 23.15 | 2 | 1 | 3 | 0 | 0 | 0 | 10 | 1 | 0 | 29.41% | 0 | 0 | 0.86 | 0 | 0 | 0.53 | |||
| 2 | Taylor Ward | Wolf Pack (NYR) | RW | 7 | 1 | 3 | 4 | 3 | 2 | 0 | 15 | 14 | 4 | 4 | 7.14% | 1 | 19.96 | 0 | 3 | 3 | 0 | 0 | 0 | 1 | 1 | 0 | 55.17% | 0 | 0 | 0.57 | 0 | 0 | 0.70 | |||
| 3 | Brian Pinho | Wolf Pack (NYR) | C/LW/RW | 7 | 2 | 1 | 3 | 1 | 2 | 0 | 10 | 13 | 4 | 9 | 15.38% | 2 | 23.09 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 0 | 0 | 56.25% | 0 | 0 | 0.43 | 0 | 0 | 0.51 | |||
| 4 | Gustav Lindström | Wolf Pack (NYR) | D | 7 | 0 | 3 | 3 | 2 | 11 | 5 | 2 | 7 | 3 | 3 | 0.00% | 7 | 25.20 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.43 | 0 | 0 | 0.20 | |||
| 5 | Joshua Roy | Wolf Pack (NYR) | LW/RW | 7 | 1 | 1 | 2 | -1 | 0 | 0 | 8 | 5 | 2 | 4 | 20.00% | 0 | 22.07 | 1 | 0 | 1 | 0 | 0 | 0 | 12 | 0 | 0 | 51.33% | 0 | 0 | 0.29 | 0 | 0 | 0.22 | |||
| 6 | Logan Brown | Wolf Pack (NYR) | C | 7 | 0 | 2 | 2 | 2 | 2 | 0 | 9 | 2 | 2 | 2 | 0.00% | 0 | 19.92 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 67.35% | 0 | 0 | 0.29 | 0 | 0 | 0.30 | |||
| 7 | Devin Kaplan | Wolf Pack (NYR) | RW | 7 | 0 | 1 | 1 | -1 | 4 | 0 | 11 | 6 | 1 | 3 | 0.00% | 1 | 17.40 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.14 | 0 | 0 | 0.04 | |||
| 8 | Mark Friedman | Wolf Pack (NYR) | D | 7 | 0 | 1 | 1 | 1 | 9 | 5 | 8 | 10 | 2 | 3 | 0.00% | 2 | 27.25 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | 0.04 | |||
| 9 | William Stromgren | Wolf Pack (NYR) | LW | 7 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 8 | 2 | 7 | 12.50% | 0 | 18.94 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 0 | 0.00% | 0 | 0 | 0.14 | 0 | 0 | 0.21 | |||
| 10 | Luke Rowe | Wolf Pack (NYR) | D | 7 | 0 | 0 | 0 | 0 | 2 | 0 | 4 | 3 | 0 | 0 | 0.00% | 2 | 19.63 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.03 | |||
| 11 | Reid Schaefer | Wolf Pack (NYR) | LW | 7 | 0 | 0 | 0 | 0 | 2 | 0 | 6 | 0 | 0 | 0 | 0.00% | 1 | 15.38 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 33.33% | 0 | 0 | 0.00 | 0 | 0 | -0.04 | |||
| 12 | Dalibor Dvorsky | Wolf Pack (NYR) | RW | 7 | 0 | 0 | 0 | -2 | 0 | 0 | 6 | 3 | 0 | 2 | 0.00% | 1 | 8.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.05 | |||
| 13 | Jack Millar | Wolf Pack (NYR) | D | 7 | 0 | 0 | 0 | -1 | 2 | 0 | 7 | 2 | 1 | 1 | 0.00% | 2 | 19.92 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 0 | 0 | 0.00 | 0 | 0 | -0.05 | |||
| 14 | Niko Huuhtanen | Wolf Pack (NYR) | RW | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| 15 | Noah Laba | Wolf Pack (NYR) | C/LW/RW | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 1 | 1 | 0.00% | 0 | 9.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62.50% | 0 | 0 | 0.00 | 0 | 0 | 0.02 | |||
| 16 | Tobie Bisson | Wolf Pack (NYR) | D | 7 | 0 | 0 | 0 | -1 | 2 | 0 | 7 | 2 | 0 | 2 | 0.00% | 0 | 18.12 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.07 | |||
| 17 | Donovan Sebrango | Wolf Pack (NYR) | D | 7 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 1 | 0 | 1 | 0.00% | 3 | 13.49 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.09 | |||
| 18 | Oskar Olausson | Wolf Pack (NYR) | RW | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| Team Total or Average | 126 | 9 | 14 | 23 | 5 | 57 | 15 | 123 | 101 | 29 | 57 | 8.91% | 22 | 16.89 | 4 | 6 | 10 | 141 | 0 | 0 | 0 | 92 | 3 | 0 | 53.26% | 261 | 27 | 31 | 0 | 0 | 0.22 | 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 | Isaac Poulter | Wolf Pack (NYR) | 7 | 3 | 3 | 1 | 0.911 | 0.98 | 429 | 0 | 1 | 7 | 79 | 41 | 0 | 1 | 0.000 | 0 | 7 | 0 | 0 | 0 | 1 |
| Team Total or Average | 7 | 3 | 3 | 1 | 0.911 | 0.98 | 429 | 0 | 1 | 7 | 79 | 41 | 0 | 1 | 0.000 | 0 | 7 | 0 | 0 | 0 | 1 |
| 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 | ||||||
| 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$ | ||||||
| Jack Millar | D | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Joshua Roy | LW/RW | 21 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| 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$ | |||||||
| Niko Huuhtanen | RW | 22 | 867,500$ | 975,000$ | 975,000$ | RFA | |||||
| Noah Laba | C/LW/RW | 21 | 975,000$ | 975,000$ | RFA | ||||||
| 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$ |
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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 | Americans | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 6 | 0.429 | 9 | 14 | 23 | 1 | 1 | 2 | 3 | 3 | 1 | 101 | 21 | 22 | 55 | 3 | 80 | 22 | 57 | 123 | 18 | 4 | 22.22% | 16 | 4 | 75.00% | 0 | 59 | 109 | 54.13% | 57 | 99 | 57.58% | 23 | 53 | 43.40% | 124 | 43 | 119 | 82 | 185 | 93 | 55.6% | 8.9% | 90.0% | 98.9 | Unlucky |
| _Vs Division | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 0 | 0.000 | 9 | 14 | 23 | 1 | 1 | 2 | 3 | 3 | 1 | 101 | 21 | 22 | 55 | 3 | 80 | 22 | 57 | 123 | 18 | 4 | 22.22% | 16 | 4 | 75.00% | 0 | 59 | 109 | 54.13% | 57 | 99 | 57.58% | 23 | 53 | 43.40% | 124 | 43 | 119 | 82 | 185 | 93 | 55.6% | 8.9% | 90.0% | 98.9 | Unlucky | |
| _Vs Conference | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 6 | 0.429 | 9 | 14 | 23 | 1 | 1 | 2 | 3 | 3 | 1 | 101 | 21 | 22 | 55 | 3 | 80 | 22 | 57 | 123 | 18 | 4 | 22.22% | 16 | 4 | 75.00% | 0 | 59 | 109 | 54.13% | 57 | 99 | 57.58% | 23 | 53 | 43.40% | 124 | 43 | 119 | 82 | 185 | 93 | 55.6% | 8.9% | 90.0% | 98.9 | Unlucky | |
| _Since Last GM Reset | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 6 | 0.429 | 9 | 14 | 23 | 1 | 1 | 2 | 3 | 3 | 1 | 101 | 21 | 22 | 55 | 3 | 80 | 22 | 57 | 123 | 18 | 4 | 22.22% | 16 | 4 | 75.00% | 0 | 59 | 109 | 54.13% | 57 | 99 | 57.58% | 23 | 53 | 43.40% | 124 | 43 | 119 | 82 | 185 | 93 | 55.6% | 8.9% | 90.0% | 98.9 | Unlucky | |
| Total | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 6 | 0.429 | 9 | 14 | 23 | 1 | 1 | 2 | 3 | 3 | 1 | 101 | 21 | 22 | 55 | 3 | 80 | 22 | 57 | 123 | 18 | 4 | 22.22% | 16 | 4 | 75.00% | 0 | 59 | 109 | 54.13% | 57 | 99 | 57.58% | 23 | 53 | 43.40% | 124 | 43 | 119 | 82 | 185 | 93 | 55.6% | 8.9% | 90.0% | 98.9 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 17 |
| Neutral Zone | 26 |
| Defensive Zone | 17 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 109 |
| Neutral Zone Start | 53 |
| Defensive Zone Start | 99 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 139 |
| Faceoffs Lost | 122 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 3.0 | 9.57 |
| 2nd Period | 6.1 | 20.31 |
| 3rd Period | 14.0 | 30.68 |
| Overtime | 14.4 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.3 | 0.64 |
| 2nd Period | 0.7 | 1.65 |
| 3rd Period | 1.1 | 2.67 |
| Overtime | 1.3 | 2.83 |
| Even Strenght Goal | 4 |
|---|---|
| PP Goal | 4 |
| PK Goal | 0 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 1 | 2 |
| Lost | 3 | 1 |
| Overtime Lost | 0 | 0 |
| PP Attempt | 18 |
|---|---|
| PP Goal | 4 |
| PK Attempt | 16 |
| PK Goal Against | 4 |
| Home | |
|---|---|
| Shots For | 14.4 |
| Shots Against | 11.4 |
| Goals For | 1.3 |
| Goals Against | 1.1 |
| Hits | 17.6 |
| Shots Blocked | 3.1 |
| Pim | 8.1 |
| Date | Matchup | Result | Detail | ||
|---|---|---|---|---|---|
| Wed, Oct 8 | BUF | @ | NYR | BUF0,NYR2 | RECAP |
| Thu, Oct 9 | BUF | @ | NYR | BUF1,NYR0 (OT) | RECAP |
| Fri, Oct 10 | NYR | @ | BUF | NYR4,BUF1 | RECAP |
| Sat, Oct 11 | NYR | @ | BUF | NYR0,BUF1 | RECAP |
| Sun, Oct 12 | BUF | @ | NYR | BUF2,NYR0 | RECAP |
| Mon, Oct 13 | NYR | @ | BUF | NYR2,BUF1 (OT) | RECAP |
| Tue, Oct 14 | BUF | @ | NYR | BUF2,NYR1 | RECAP |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,744,000$ | 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 |
| 37 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,744,000$ | 2,744,000$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 0$ | 0$ | 0$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 6 | 0$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 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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