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Full Scoreboard »» |
Hartford Wolf Pack 15-7-0, 30pts · 3rd 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C | 96.00 | 62 | 38 | 85 | 70 | 66 | 73 | 89 | 66 | 68 | 69 | 67 | 63 | 68 | 56 | 55 | 0 | 50 | 76 | 19 | 918,333$/3yrs | |||
![]() | 0 | RW | 100.00 | 78 | 34 | 95 | 62 | 90 | 71 | 82 | 64 | 59 | 63 | 67 | 62 | 65 | 68 | 67 | 0 | 57 | 75 | 26 | 1,000,000$/2yrs | |||
![]() | 0 | C | 98.00 | 77 | 40 | 73 | 67 | 72 | 72 | 86 | 64 | 66 | 68 | 66 | 62 | 67 | 61 | 64 | 0 | 56 | 75 | 22 | 894,167$/1yrs | |||
![]() | 0 | LW | 99.00 | 66 | 37 | 86 | 62 | 60 | 70 | 77 | 62 | 49 | 66 | 60 | 66 | 63 | 65 | 66 | 0 | 59 | 73 | 24 | 925,000$/1yrs | |||
![]() | 0 | C/RW | 97.00 | 66 | 39 | 86 | 66 | 75 | 71 | 92 | 62 | 61 | 65 | 65 | 63 | 65 | 60 | 58 | 0 | 61 | 73 | 22 | 836,667$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 63 | 38 | 89 | 63 | 69 | 70 | 77 | 60 | 72 | 63 | 62 | 65 | 63 | 63 | 64 | 0 | 58 | 73 | 23 | 884,000$/1yrs | |||
![]() | 0 | C | 99.00 | 68 | 39 | 78 | 67 | 71 | 70 | 79 | 64 | 64 | 67 | 63 | 60 | 65 | 56 | 54 | 0 | 59 | 73 | 20 | 828,333$/3yrs | |||
![]() | 26 | LW/RW | 100.00 | 61 | 38 | 89 | 64 | 73 | 63 | 71 | 61 | 65 | 65 | 64 | 62 | 64 | 61 | 60 | 0 | 59 | 72 | 23 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 71 | 39 | 80 | 61 | 75 | 68 | 75 | 61 | 72 | 58 | 65 | 62 | 62 | 65 | 67 | 0 | 51 | 72 | 24 | 802,500$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 74 | 43 | 73 | 62 | 85 | 70 | 74 | 60 | 49 | 62 | 64 | 62 | 64 | 65 | 65 | 0 | 59 | 72 | 24 | 817,500$/1yrs | |||
![]() | 0 | C | 100.00 | 81 | 41 | 62 | 65 | 80 | 70 | 90 | 59 | 69 | 68 | 61 | 63 | 64 | 58 | 54 | 0 | 56 | 72 | 20 | 867,500$/3yrs | |||
![]() | 19 | C | 100.00 | 61 | 33 | 95 | 55 | 78 | 72 | 73 | 57 | 76 | 66 | 50 | 73 | 53 | 63 | 63 | 0 | 40 | 71 | 23 | 975,000$/1yrs | |||
![]() | 0 | D | 99.00 | 61 | 32 | 66 | 80 | 72 | 89 | 65 | 68 | 30 | 82 | 50 | 58 | 59 | 59 | 55 | 0 | 36 | 79 | 20 | 870,000$/1yrs | |||
![]() | 0 | D | 100.00 | 77 | 38 | 72 | 65 | 72 | 72 | 77 | 59 | 30 | 68 | 56 | 62 | 60 | 63 | 65 | 0 | 54 | 75 | 23 | 900,000$/1yrs | |||
![]() | 0 | D | 99.00 | 70 | 37 | 77 | 66 | 74 | 74 | 76 | 61 | 30 | 69 | 55 | 64 | 60 | 61 | 62 | 0 | 59 | 75 | 22 | 863,333$/1yrs | |||
![]() | 0 | D | 99.00 | 83 | 40 | 67 | 63 | 74 | 70 | 75 | 59 | 30 | 66 | 60 | 64 | 63 | 59 | 63 | 0 | 59 | 75 | 21 | 856,667$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 39 | 80 | 68 | 78 | 69 | 87 | 60 | 30 | 70 | 58 | 62 | 64 | 54 | 52 | 0 | 50 | 75 | 19 | 950,000$/3yrs | |||
![]() | 0 | D | 100.00 | 62 | 39 | 84 | 67 | 74 | 69 | 89 | 60 | 30 | 67 | 57 | 61 | 63 | 54 | 53 | 0 | 59 | 73 | 19 | 918,333$/3yrs | |||
![]() | 0 | D | 100.00 | 71 | 40 | 80 | 59 | 86 | 67 | 81 | 56 | 30 | 61 | 57 | 64 | 59 | 61 | 63 | 0 | 48 | 72 | 22 | 850,333$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/RW | 100.00 | 54 | 37 | 94 | 62 | 67 | 65 | 78 | 59 | 50 | 62 | 59 | 58 | 60 | 54 | 53 | 0 | 20 | 69 | 19 | 950,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 60 | 38 | 93 | 61 | 73 | 66 | 85 | 58 | 37 | 61 | 59 | 59 | 60 | 57 | 57 | 0 | 20 | 69 | 20 | 990,833$/3yrs | |||
![]() | 0 | D | 100.00 | 66 | 33 | 95 | 60 | 81 | 78 | 73 | 62 | 30 | 67 | 50 | 70 | 56 | 75 | 74 | 0 | 34 | 76 | 30 | 3,250,000$/2yrs | |||
![]() | 52 | D | 100.00 | 56 | 38 | 92 | 60 | 79 | 66 | 83 | 57 | 30 | 62 | 54 | 64 | 58 | 61 | 60 | 0 | 20 | 71 | 23 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 82 | 40 | 68 | 59 | 77 | 66 | 68 | 55 | 30 | 61 | 56 | 61 | 59 | 61 | 64 | 0 | 20 | 71 | 22 | 859,167$/2yrs | |||
![]() | 0 | D | 100.00 | 71 | 39 | 80 | 57 | 72 | 68 | 72 | 54 | 30 | 58 | 61 | 66 | 59 | 65 | 67 | 0 | 20 | 71 | 24 | 855,000$/1yrs | |||
![]() | 0 | D | 100.00 | 58 | 37 | 95 | 56 | 66 | 66 | 71 | 55 | 30 | 59 | 57 | 63 | 58 | 63 | 63 | 0 | 20 | 70 | 23 | 859,167$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 73 | 71 | 71 | 83 | 70 | 72 | 73 | 72 | 74 | 72 | 73 | 65 | 68 | 0 | 44 | 77 | 24 | 800,000$/1yrs |
![]() | 31 | 97.00 | 61 | 65 | 67 | 91 | 63 | 65 | 68 | 83 | 67 | 83 | 68 | 70 | 74 | 0 | 46 | 76 | 28 | 775,000$/2yrs |
Scratches |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Van Ryn | 65 | 70 | 73 | 68 | 64 | 59 | 83 | CAN | 44 | 1 | 500,000$ |
General Manager |
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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 |
# | 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 | Mitchell Russell | C/RW | 22 | 9 | 19 | 28 | 2 | 20 | 10 | 30 | 83 | 13 | 34 | 10.84% | 6 | 20.15 | 2 | 6 | 8 | 65 | 0 | 0 | 0 | 33 | 1 | 1 | 47.46% | 630 | 0 | 0 | 0 | 0 | 1.26 | 1 | 4 | ||
2 | Dominik Bokk | LW/RW | 22 | 14 | 9 | 23 | 12 | 2 | 0 | 10 | 65 | 19 | 61 | 21.54% | 7 | 16.10 | 1 | 0 | 1 | 48 | 0 | 0 | 0 | 8 | 1 | 1 | 37.50% | 32 | 0 | 0 | 0 | 0 | 1.30 | 1 | 1 | ||
3 | Victor Soderstrom | D | 22 | 4 | 14 | 18 | 6 | 4 | 0 | 14 | 25 | 7 | 17 | 16.00% | 32 | 20.55 | 1 | 2 | 3 | 55 | 0 | 0 | 0 | 31 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | ||
4 | Connor Zary | C | 16 | 6 | 9 | 15 | 11 | 0 | 0 | 38 | 45 | 11 | 38 | 13.33% | 1 | 18.24 | 1 | 1 | 2 | 19 | 0 | 0 | 0 | 1 | 2 | 0 | 49.43% | 350 | 0 | 0 | 0 | 0 | 1.03 | 1 | 3 | ||
5 | Matthew Savoie | C | 16 | 5 | 10 | 15 | 7 | 2 | 0 | 9 | 53 | 15 | 38 | 9.43% | 1 | 20.68 | 2 | 3 | 5 | 26 | 0 | 0 | 0 | 14 | 1 | 0 | 45.45% | 33 | 0 | 0 | 0 | 0 | 0.91 | 0 | 3 | ||
6 | Julien Gauthier | RW | 22 | 9 | 5 | 14 | 1 | 10 | 0 | 43 | 61 | 21 | 54 | 14.75% | 6 | 20.69 | 2 | 0 | 2 | 50 | 0 | 0 | 0 | 1 | 0 | 1 | 47.06% | 102 | 0 | 0 | 0 | 0 | 0.62 | 1 | 2 | ||
7 | Ryan Merkley | D | 22 | 7 | 7 | 14 | 8 | 35 | 5 | 54 | 33 | 12 | 22 | 21.21% | 30 | 21.70 | 3 | 1 | 4 | 50 | 0 | 0 | 0 | 16 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 1 | 0.59 | 0 | 1 | ||
8 | Bobby Trivigno | LW | 22 | 4 | 9 | 13 | 0 | 4 | 0 | 23 | 62 | 17 | 53 | 6.45% | 8 | 18.84 | 0 | 3 | 3 | 68 | 0 | 0 | 0 | 35 | 1 | 0 | 41.46% | 41 | 0 | 0 | 0 | 0 | 0.63 | 2 | 3 | ||
9 | Stanislav Svozil | D | 13 | 2 | 10 | 12 | 2 | 6 | 0 | 8 | 19 | 8 | 9 | 10.53% | 20 | 24.24 | 0 | 3 | 3 | 40 | 0 | 0 | 0 | 26 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | ||
10 | David Reinbacher | D | 23 | 2 | 10 | 12 | 6 | 24 | 0 | 44 | 24 | 7 | 15 | 8.33% | 15 | 17.93 | 1 | 2 | 3 | 39 | 0 | 0 | 0 | 29 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 1 | ||
11 | William Trudeau | D | 22 | 2 | 9 | 11 | 6 | 12 | 0 | 63 | 38 | 4 | 23 | 5.26% | 35 | 20.63 | 1 | 2 | 3 | 57 | 0 | 0 | 0 | 34 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | ||
12 | Denton Mateychuk | D | 22 | 3 | 8 | 11 | 6 | 4 | 0 | 22 | 15 | 5 | 5 | 20.00% | 25 | 15.89 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 15 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
13 | Ryan Winterton | C | 22 | 4 | 7 | 11 | 0 | 10 | 0 | 49 | 57 | 21 | 51 | 7.02% | 5 | 18.39 | 0 | 0 | 0 | 67 | 0 | 0 | 0 | 36 | 0 | 0 | 46.85% | 540 | 0 | 0 | 0 | 0 | 0.54 | 1 | 3 | ||
14 | Ville Petman | C/LW | 22 | 5 | 5 | 10 | 1 | 2 | 0 | 21 | 54 | 12 | 37 | 9.26% | 4 | 20.05 | 0 | 0 | 0 | 40 | 0 | 0 | 0 | 18 | 1 | 0 | 52.27% | 44 | 0 | 0 | 0 | 0 | 0.45 | 2 | 2 | ||
15 | Wyatt Bongiovanni | C | 16 | 4 | 2 | 6 | 8 | 2 | 0 | 17 | 13 | 3 | 6 | 30.77% | 1 | 11.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 10 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | ||
16 | Milos Kelemen | LW/RW | 22 | 2 | 3 | 5 | 4 | 0 | 0 | 12 | 28 | 4 | 28 | 7.14% | 0 | 8.15 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 1 | 0 | 58.33% | 12 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
17 | Ryan Murray | D | 3 | 0 | 2 | 2 | 1 | 0 | 0 | 2 | 4 | 1 | 2 | 0.00% | 4 | 20.33 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | ||
18 | Jayden Grubbe | C | 21 | 0 | 1 | 1 | 2 | 2 | 0 | 11 | 14 | 3 | 10 | 0.00% | 0 | 2.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 55.00% | 80 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
19 | David Gustafsson | C | 13 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0.00% | 1 | 1.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 100.00% | 5 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
20 | Michael Vukojevic | D | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0.00% | 2 | 0.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 377 | 82 | 139 | 221 | 83 | 139 | 15 | 473 | 693 | 183 | 504 | 11.83% | 203 | 16.19 | 14 | 23 | 37 | 640 | 0 | 0 | 0 | 326 | 12 | 4 | 48.00% | 1879 | 0 | 0 | 0 | 1 | 0.72 | 9 | 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 | Jiri Patera | 16 | 9 | 5 | 0 | 0.905 | 3.04 | 850 | 0 | 2 | 43 | 453 | 0 | 0 | 0 | 0.750 | 4 | 16 | 11 | 2 | 0 | 0 | |
2 | Jonas Johansson | 6 | 3 | 2 | 0 | 0.932 | 2.77 | 303 | 0 | 0 | 14 | 207 | 0 | 0 | 0 | 0.917 | 12 | 3 | 11 | 0 | 1 | 0 | |
Team Total or Average | 22 | 12 | 7 | 0 | 0.914 | 2.96 | 1154 | 0 | 2 | 57 | 660 | 0 | 0 | 0 | 0.875 | 16 | 19 | 22 | 2 | 1 | 0 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Bobby Trivigno | LW | 24 | 925,000$ | 925,000$ | |||||||
Bode Wilde | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Calle Sjalin | D | 24 | 855,000$ | 855,000$ | |||||||
Connor Zary | C | 22 | 894,167$ | 894,167$ | RFA | ||||||
David Gustafsson | C | 23 | 975,000$ | 975,000$ | RFA | ||||||
David Reinbacher | D | 19 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Denton Mateychuk | D | 19 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Dominik Bokk | LW/RW | 23 | 775,000$ | 775,000$ | RFA | ||||||
Jayden Grubbe | C | 20 | 867,500$ | 867,500$ | 867,500$ | 867,500$ | RFA | ||||
Jiri Patera | G | 24 | 800,000$ | 800,000$ | |||||||
Jonas Johansson | G | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Jonathan Lekkerimaki | C/RW | 19 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Julien Gauthier | RW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Kim Nousiainen | D | 23 | 859,167$ | 859,167$ | 859,167$ | ||||||
Matthew Savoie | C | 19 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Michael Vukojevic | D | 22 | 850,333$ | 850,333$ | RFA | ||||||
Milos Kelemen | LW/RW | 24 | 817,500$ | 817,500$ | |||||||
Mitchell Russell | C/RW | 22 | 836,667$ | 836,667$ | 836,667$ | RFA | |||||
Ryan Merkley | D | 23 | 900,000$ | 900,000$ | RFA | ||||||
Ryan Murray | D | 30 | 3,250,000$ | 3,250,000$ | 3,250,000$ | UFA | |||||
Ryan Winterton | C | 20 | 828,333$ | 828,333$ | 828,333$ | 828,333$ | RFA | ||||
Stanislav Svozil | D | 20 | 870,000$ | 870,000$ | RFA | ||||||
Victor Soderstrom | D | 22 | 863,333$ | 863,333$ | RFA | ||||||
Ville Petman | C/LW | 23 | 884,000$ | 884,000$ | RFA | ||||||
William Stromgren | LW | 20 | 990,833$ | 990,833$ | 990,833$ | 990,833$ | RFA | ||||
William Trudeau | D | 21 | 856,667$ | 856,667$ | 856,667$ | RFA | |||||
Wyatt Bongiovanni | C | 24 | 802,500$ | 802,500$ | 802,500$ | ||||||
Zach Uens | D | 22 | 859,167$ | 859,167$ | 859,167$ | RFA |
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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 |
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1 | 5 | 2 | 1 | 0 | 0 | 0 | 2 | 0 | 18 | 15 | 3 | 8 | 0.800 | 18 | 27 | 45 | 0 | 0 | 32 | 25 | 23 | 11 | 151 | 210 | 249 | 234 | 37 | 177 | 54 | 27 | 121 | 20 | 2 | 10.00% | 10 | 4 | 60.00% | 0 | 383 | 756 | 50.66% | 382 | 803 | 47.57% | 162 | 374 | 43.32% | 527 | 366 | 527 | 163 | 285 | 143 | 59.3% | 11.9% | 91.5% | 103.4 | LUCKY | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 32 | 25 | 23 | 11 | 23 | 210 | 249 | 234 | 37 | 42 | 11 | 4 | 16 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 383 | 756 | 50.66% | 382 | 803 | 47.57% | 162 | 374 | 43.32% | 527 | 366 | 527 | 163 | 285 | 143 | 66.7% | 17.4% | 92.9% | 110.2 | LUCKY | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 2 | 1.000 | 7 | 14 | 21 | 0 | 0 | 32 | 25 | 23 | 11 | 28 | 210 | 249 | 234 | 37 | 41 | 11 | 2 | 16 | 5 | 4 | 80.00% | 1 | 1 | 0.00% | 0 | 383 | 756 | 50.66% | 382 | 803 | 47.57% | 162 | 374 | 43.32% | 527 | 366 | 527 | 163 | 285 | 143 | 60.0% | 25.0% | 92.7% | 117.7 | LUCKY | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 32 | 25 | 23 | 11 | 31 | 210 | 249 | 234 | 37 | 35 | 8 | 4 | 24 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 383 | 756 | 50.66% | 382 | 803 | 47.57% | 162 | 374 | 43.32% | 527 | 366 | 527 | 163 | 285 | 143 | 33.3% | 9.7% | 82.9% | 92.5 | FUN | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 32 | 25 | 23 | 11 | 34 | 210 | 249 | 234 | 37 | 55 | 6 | 16 | 21 | 2 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 383 | 756 | 50.66% | 382 | 803 | 47.57% | 162 | 374 | 43.32% | 527 | 366 | 527 | 163 | 285 | 143 | 50.0% | 8.8% | 90.9% | 99.7 | Unlucky | |
6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 16 | 26 | 0 | 0 | 32 | 25 | 23 | 11 | 60 | 210 | 249 | 234 | 37 | 54 | 17 | 6 | 32 | 9 | 1 | 11.11% | 3 | 1 | 66.67% | 0 | 383 | 756 | 50.66% | 382 | 803 | 47.57% | 162 | 374 | 43.32% | 527 | 366 | 527 | 163 | 285 | 143 | 75.0% | 16.7% | 92.6% | 109.3 | LUCKY | |
7 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 16 | 10 | 6 | 6 | 0.750 | 16 | 28 | 44 | 0 | 1 | 32 | 25 | 23 | 11 | 142 | 210 | 249 | 234 | 37 | 141 | 35 | 20 | 95 | 12 | 2 | 16.67% | 9 | 3 | 66.67% | 0 | 383 | 756 | 50.66% | 382 | 803 | 47.57% | 162 | 374 | 43.32% | 527 | 366 | 527 | 163 | 285 | 143 | 66.7% | 11.3% | 92.9% | 104.2 | LUCKY | |
8 | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 14 | 12 | 2 | 4 | 0.500 | 14 | 27 | 41 | 0 | 0 | 32 | 25 | 23 | 11 | 136 | 210 | 249 | 234 | 37 | 126 | 43 | 29 | 100 | 15 | 1 | 6.67% | 11 | 3 | 72.73% | 0 | 383 | 756 | 50.66% | 382 | 803 | 47.57% | 162 | 374 | 43.32% | 527 | 366 | 527 | 163 | 285 | 143 | 59.1% | 10.3% | 90.5% | 100.8 | FUN | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 32 | 25 | 23 | 11 | 27 | 210 | 249 | 234 | 37 | 29 | 6 | 8 | 20 | 4 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 383 | 756 | 50.66% | 382 | 803 | 47.57% | 162 | 374 | 43.32% | 527 | 366 | 527 | 163 | 285 | 143 | nan% | 0.0% | 89.7% | 89.7 | Unlucky | |
10 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 4 | 6 | 4 | 1.000 | 10 | 17 | 27 | 0 | 1 | 32 | 25 | 23 | 11 | 74 | 210 | 249 | 234 | 37 | 68 | 13 | 21 | 42 | 8 | 3 | 37.50% | 4 | 0 | 100.00% | 0 | 383 | 756 | 50.66% | 382 | 803 | 47.57% | 162 | 374 | 43.32% | 527 | 366 | 527 | 163 | 285 | 143 | 63.6% | 13.5% | 94.1% | 107.6 | LUCKY | |
_Vs Division | 8 | 6 | 5 | 0 | 1 | 0 | 4 | 0 | 34 | 24 | 10 | 22 | 1.375 | 34 | 62 | 96 | 0 | 0 | 32 | 25 | 23 | 11 | 258 | 210 | 249 | 234 | 37 | 276 | 77 | 53 | 169 | 31 | 6 | 19.35% | 22 | 7 | 68.18% | 0 | 383 | 756 | 50.66% | 382 | 803 | 47.57% | 162 | 374 | 43.32% | 527 | 366 | 527 | 163 | 285 | 143 | 62.2% | 13.2% | 91.3% | 104.5 | LUCKY | |
_Vs Conference | 22 | 10 | 7 | 0 | 1 | 0 | 4 | 0 | 85 | 65 | 20 | 30 | 0.682 | 85 | 146 | 231 | 0 | 2 | 32 | 25 | 23 | 11 | 706 | 210 | 249 | 234 | 37 | 768 | 204 | 137 | 487 | 79 | 13 | 16.46% | 53 | 18 | 66.04% | 0 | 383 | 756 | 50.66% | 382 | 803 | 47.57% | 162 | 374 | 43.32% | 527 | 366 | 527 | 163 | 285 | 143 | 60.5% | 12.0% | 91.5% | 103.6 | LUCKY | |
_Since Last GM Reset | 22 | 10 | 7 | 0 | 1 | 0 | 4 | 0 | 85 | 65 | 20 | 30 | 0.682 | 85 | 146 | 231 | 0 | 2 | 32 | 25 | 23 | 11 | 706 | 210 | 249 | 234 | 37 | 768 | 204 | 137 | 487 | 79 | 13 | 16.46% | 53 | 18 | 66.04% | 0 | 383 | 756 | 50.66% | 382 | 803 | 47.57% | 162 | 374 | 43.32% | 527 | 366 | 527 | 163 | 285 | 143 | 60.5% | 12.0% | 91.5% | 103.6 | LUCKY | |
Total | 22 | 10 | 7 | 0 | 1 | 0 | 4 | 0 | 85 | 65 | 20 | 30 | 0.682 | 85 | 146 | 231 | 0 | 2 | 32 | 25 | 23 | 11 | 706 | 210 | 249 | 234 | 37 | 768 | 204 | 137 | 487 | 79 | 13 | 16.46% | 53 | 18 | 66.04% | 0 | 383 | 756 | 50.66% | 382 | 803 | 47.57% | 162 | 374 | 43.32% | 527 | 366 | 527 | 163 | 285 | 143 | 60.5% | 12.0% | 91.5% | 103.6 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 756 |
Neutral Zone Start | 374 |
Defensive Zone Start | 803 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 927 |
Faceoffs Lost | 1006 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.5 | 9.57 |
2nd Period | 20.9 | 20.31 |
3rd Period | 31.5 | 30.68 |
Overtime | 33.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.6 | 1.65 |
3rd Period | 3.6 | 2.67 |
Overtime | 4.1 | 2.83 |
Even Strenght Goal | 72 |
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PP Goal | 13 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 8 |
Lost | 4 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 79 |
---|---|
PP Goal | 13 |
PK Attempt | 53 |
PK Goal Against | 18 |
Home | |
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Shots For | 32.1 |
Shots Against | 34.9 |
Goals For | 3.9 |
Goals Against | 3.0 |
Hits | 22.1 |
Shots Blocked | 9.3 |
Pim | 6.2 |
Date | Matchup | Result | Detail | |||||||||||
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2023-10-13 | @ | Wolf Pack3,Bruins4 | RECAP | |||||||||||
2023-10-14 | @ | Wolf Pack4,Thunderbirds0 | RECAP | |||||||||||
2023-10-20 | @ | Penguins0,Wolf Pack5 | RECAP | |||||||||||
2023-10-21 | @ | Phantoms4,Wolf Pack2 | RECAP | |||||||||||
2023-10-27 | @ | Thunderbirds2,Wolf Pack5 | RECAP | |||||||||||
2023-10-28 | @ | Wolf Pack5,Penguins4 (SO) | RECAP | |||||||||||
2023-10-29 | @ | Wolf Pack4,Phantoms2 | RECAP | |||||||||||
2023-11-03 | @ | Wolf Pack4,Phantoms3 (SO) | RECAP | |||||||||||
2023-11-04 | @ | Wolf Pack4,Comets3 | RECAP | |||||||||||
2023-11-10 | @ | Wolf Pack3,Islanders6 | RECAP | |||||||||||
2023-11-11 | @ | Bruins4,Wolf Pack5 (OT) | RECAP | |||||||||||
2023-11-12 | @ | Wolf Pack5,Bruins2 | RECAP | |||||||||||
2023-11-15 | @ | Thunderbirds3,Wolf Pack1 | RECAP | |||||||||||
2023-11-17 | @ | Wolf Pack3,Crunch1 | RECAP | |||||||||||
2023-11-18 | @ | Crunch3,Wolf Pack7 | RECAP | |||||||||||
2023-11-22 | @ | Bruins2,Wolf Pack1 | RECAP | |||||||||||
2023-11-24 | @ | Wolf Pack6,Thunderbirds5 (SO) | RECAP | |||||||||||
2023-11-25 | @ | Senators3,Wolf Pack7 | RECAP | |||||||||||
2023-12-01 | @ | Phantoms2,Wolf Pack3 | RECAP | |||||||||||
2023-12-02 | @ | Phantoms4,Wolf Pack5 (SO) | RECAP | |||||||||||
2023-12-06 | @ | Monsters3,Wolf Pack0 | RECAP | |||||||||||
2023-12-08 | @ | Wolf Pack3,Rocket5 | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,359,683$ | 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 |
25 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,359,683$ | 2,359,683$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
876,295$ | 12,101$ | 722,455$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 132 | 14,665$ | 1,979,775$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,979,775$ | 0$ | 0$ | 0$ |
Sponsors | |||
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TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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