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Full Scoreboard »» |
![]() | Hartford Wolf Pack 3-1-0, 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 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$/2yrs | |||
![]() | 0 | LW | 99.00 | 91 | 71 | 70 | 71 | 85 | 73 | 75 | 68 | 44 | 64 | 62 | 67 | 67 | 63 | 53 | 1 | 50 | 67 | 27 | 1,275,000$/1yrs | |||
![]() | 0 | C | 99.00 | 67 | 40 | 87 | 71 | 78 | 75 | 71 | 67 | 71 | 69 | 60 | 70 | 66 | 54 | 50 | 1 | 50 | 66 | 25 | 975,000$/3yrs | |||
![]() | 0 | LW/RW | 99.00 | 69 | 40 | 77 | 74 | 78 | 78 | 63 | 67 | 40 | 63 | 62 | 63 | 67 | 55 | 50 | 1 | 50 | 64 | 21 | 975,000$/2yrs | |||
![]() | 0 | RW | 99.00 | 56 | 40 | 69 | 67 | 75 | 75 | 59 | 62 | 40 | 59 | 59 | 59 | 63 | 51 | 50 | 1 | 50 | 60 | 21 | 921,667$/2yrs | |||
![]() | 0 | C | 99.00 | 61 | 41 | 71 | 59 | 74 | 67 | 64 | 60 | 56 | 58 | 55 | 58 | 58 | 75 | 55 | 1 | 50 | 60 | 27 | 1,280,000$/2yrs | |||
![]() | 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$/2yrs | |||
![]() | 0 | LW | 100.00 | 58 | 41 | 73 | 65 | 64 | 65 | 63 | 63 | 43 | 64 | 56 | 55 | 61 | 50 | 50 | 1 | 50 | 59 | 22 | 975,000$/3yrs | |||
![]() | 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$/2yrs | |||
![]() | 0 | RW | 100.00 | 60 | 41 | 67 | 62 | 63 | 58 | 57 | 62 | 42 | 61 | 60 | 55 | 62 | 50 | 50 | 1 | 50 | 58 | 20 | 975,000$/3yrs | |||
![]() | 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$/1yrs | |||
![]() | 0 | C | 100.00 | 57 | 41 | 71 | 65 | 59 | 62 | 60 | 59 | 43 | 55 | 52 | 54 | 59 | 50 | 50 | 1 | 50 | 56 | 22 | 975,000$/1yrs | |||
![]() | 0 | D | 99.00 | 64 | 40 | 79 | 76 | 75 | 82 | 76 | 69 | 40 | 68 | 63 | 71 | 69 | 67 | 58 | 1 | 50 | 69 | 24 | 975,000$/1yrs | |||
![]() | 0 | D | 99.00 | 66 | 43 | 72 | 70 | 70 | 74 | 70 | 63 | 40 | 59 | 59 | 69 | 64 | 70 | 54 | 1 | 50 | 65 | 26 | 1,000,000$/3yrs | |||
![]() | 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$/2yrs | |||
![]() | 0 | D | 100.00 | 62 | 43 | 69 | 67 | 64 | 69 | 68 | 62 | 40 | 58 | 56 | 67 | 61 | 57 | 50 | 1 | 50 | 62 | 28 | 1,000,000$/3yrs | |||
![]() | 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$/3yrs | |||
![]() | 0 | D | 100.00 | 66 | 41 | 68 | 59 | 67 | 63 | 62 | 60 | 40 | 57 | 53 | 65 | 57 | 51 | 50 | 1 | 50 | 60 | 24 | 1,000,000$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 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$/1yrs | |||
![]() | 0 | RW | 100.00 | 60 | 42 | 71 | 65 | 63 | 62 | 60 | 62 | 43 | 58 | 56 | 56 | 61 | 50 | 50 | 1 | 50 | 58 | 22 | 975,000$/1yrs | |||
![]() | 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$/1yrs | |||
![]() | 0 | RW | 100.00 | 56 | 41 | 72 | 67 | 58 | 63 | 61 | 58 | 42 | 53 | 53 | 55 | 59 | 52 | 50 | 1 | 50 | 56 | 24 | 975,000$/1yrs | |||
![]() | 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$/1yrs | |||
![]() | 0 | LW | 100.00 | 54 | 41 | 59 | 54 | 57 | 58 | 57 | 53 | 40 | 51 | 52 | 52 | 53 | 54 | 50 | 1 | 50 | 53 | 27 | 975,000$/2yrs | |||
![]() | 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$/1yrs | |||
![]() | 0 | D | 100.00 | 58 | 41 | 68 | 63 | 66 | 60 | 58 | 55 | 40 | 51 | 51 | 57 | 56 | 50 | 50 | 1 | 50 | 57 | 22 | 975,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 97.00 | 83 | 85 | 86 | 78 | 87 | 84 | 79 | 82 | 82 | 85 | 79 | 79 | 72 | 1 | 50 | 76 | 32 | 2,450,000$/1yrs |
![]() | 0 | 100.00 | 72 | 63 | 65 | 62 | 67 | 69 | 72 | 68 | 70 | 68 | 59 | 51 | 50 | 1 | 50 | 62 | 23 | 1,435,000$/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 |
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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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Carl Grundstrom | ![]() | RW | 4 | 5 | 5 | 10 | 3 | 0 | 0 | 5 | 16 | 10 | 10 | 31.25% | 1 | 17.38 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 2 | 0 | 33.33% | 0 | 0 | 2.50 | 0 | 0 | 2.48 | |||
2 | Oskar Back | ![]() | C | 4 | 4 | 5 | 9 | 4 | 0 | 0 | 6 | 14 | 5 | 10 | 28.57% | 3 | 25.38 | 1 | 2 | 3 | 0 | 0 | 0 | 14 | 0 | 0 | 52.67% | 0 | 1 | 2.25 | 0 | 0 | 2.29 | |||
3 | Michael Pezzetta | ![]() | LW | 4 | 1 | 5 | 6 | 3 | 11 | 5 | 7 | 12 | 3 | 6 | 8.33% | 1 | 20.23 | 0 | 2 | 2 | 0 | 0 | 0 | 11 | 0 | 0 | 40.00% | 0 | 0 | 1.50 | 0 | 0 | 1.10 | |||
4 | William Stromgren | ![]() | LW | 4 | 2 | 2 | 4 | 3 | 0 | 0 | 8 | 12 | 7 | 3 | 16.67% | 1 | 13.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | 1.30 | |||
5 | Gustav Lindström | ![]() | D | 4 | 0 | 3 | 3 | 2 | 0 | 0 | 6 | 4 | 2 | 1 | 0.00% | 5 | 27.38 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0.00% | 0 | 0 | 0.75 | 0 | 0 | 0.79 | |||
6 | Mark Friedman | ![]() | D | 4 | 1 | 2 | 3 | -3 | 2 | 0 | 3 | 7 | 2 | 0 | 14.29% | 2 | 19.70 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 0 | 0.75 | 0 | 0 | 0.30 | |||
7 | Ivan Miroshnichenko | ![]() | LW/RW | 4 | 1 | 1 | 2 | -3 | 0 | 0 | 4 | 13 | 5 | 6 | 7.69% | 3 | 18.58 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.45 | |||
8 | Taylor Ward | ![]() | RW | 4 | 1 | 1 | 2 | 4 | 8 | 0 | 9 | 5 | 1 | 5 | 20.00% | 2 | 14.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.55 | |||
9 | Brian Pinho | ![]() | C/LW/RW | 1 | 1 | 0 | 1 | 1 | 2 | 0 | 0 | 5 | 0 | 4 | 20.00% | 1 | 20.47 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 58.33% | 0 | 0 | 1.00 | 0 | 0 | 1.27 | |||
10 | Luke Rowe | ![]() | D | 4 | 0 | 1 | 1 | 4 | 0 | 0 | 2 | 0 | 0 | 1 | 0.00% | 2 | 10.51 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.54 | |||
11 | Reid Schaefer | ![]() | LW | 4 | 0 | 1 | 1 | 1 | 0 | 0 | 5 | 0 | 1 | 2 | 0.00% | 0 | 7.28 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.29 | |||
12 | Dalibor Dvorsky | ![]() | RW | 4 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 33.33% | 0 | 6.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.31 | |||
13 | Devin Kaplan | ![]() | RW | 4 | 0 | 1 | 1 | -3 | 7 | 5 | 9 | 4 | 4 | 11 | 0.00% | 4 | 15.89 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 66.67% | 0 | 0 | 0.25 | 0 | 0 | -0.15 | |||
14 | Jack Millar | ![]() | D | 4 | 0 | 1 | 1 | 4 | 4 | 0 | 3 | 2 | 0 | 0 | 0.00% | 0 | 11.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.37 | |||
15 | Logan Brown | ![]() | C | 4 | 1 | 0 | 1 | -4 | 0 | 0 | 12 | 4 | 2 | 0 | 25.00% | 1 | 18.09 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 54.90% | 0 | 0 | 0.25 | 0 | 0 | -0.01 | |||
16 | Zac Jones | ![]() | D | 4 | 0 | 1 | 1 | 3 | 2 | 0 | 4 | 12 | 4 | 7 | 0.00% | 10 | 27.97 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0.25 | 0 | 0 | 0.75 | |||
17 | Ryder Korczak | ![]() | C | 3 | 0 | 1 | 1 | 2 | 4 | 0 | 4 | 2 | 0 | 2 | 0.00% | 0 | 13.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55.00% | 0 | 0 | 0.33 | 0 | 0 | 0.30 | |||
18 | Tobie Bisson | ![]() | D | 4 | 0 | 0 | 0 | -3 | 0 | 0 | 4 | 2 | 1 | 0 | 0.00% | 7 | 20.16 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.14 | |||
19 | Donovan Sebrango | ![]() | 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 | ![]() | LW | 3 | 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 | 72 | 18 | 30 | 48 | 20 | 40 | 10 | 92 | 117 | 47 | 68 | 15.38% | 44 | 16.25 | 3 | 5 | 8 | 50 | 0 | 0 | 0 | 108 | 3 | 0 | 51.68% | 238 | 40 | 21 | 0 | 1 | 0.82 | 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 | Alex Lyon | ![]() | 4 | 3 | 1 | 0 | 0.900 | 2.75 | 240 | 0 | 1 | 11 | 110 | 55 | 0 | 0 | 0.000 | 0 | 4 | 0 | 1 | 0 | 0 |
Team Total or Average | 4 | 3 | 1 | 0 | 0.900 | 2.75 | 240 | 0 | 1 | 11 | 110 | 55 | 0 | 0 | 0.000 | 0 | 4 | 0 | 1 | 0 | 0 |
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$ | |||||
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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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 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 5 | 5 | 8 | 0 | 24 | 44 | 35 | 38 | 0 | 35 | 11 | 8 | 19 | 0 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 41 | 84 | 48.81% | 51 | 85 | 60.00% | 31 | 69 | 44.93% | 80 | 40 | 80 | 39 | 78 | 37 | 33.3% | 12.5% | 82.9% | 95.4 | FUN |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 5 | 5 | 8 | 0 | 30 | 44 | 35 | 38 | 0 | 35 | 13 | 8 | 21 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 41 | 84 | 48.81% | 51 | 85 | 60.00% | 31 | 69 | 44.93% | 80 | 40 | 80 | 39 | 78 | 37 | 62.5% | 16.7% | 91.4% | 108.1 | LUCKY |
3 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 2 | 8 | 4 | 1.000 | 10 | 17 | 27 | 0 | 1 | 5 | 5 | 8 | 0 | 63 | 44 | 35 | 38 | 0 | 40 | 20 | 24 | 52 | 9 | 3 | 33.33% | 7 | 0 | 100.00% | 0 | 41 | 84 | 48.81% | 51 | 85 | 60.00% | 31 | 69 | 44.93% | 80 | 40 | 80 | 39 | 78 | 37 | 77.8% | 15.9% | 95.0% | 110.9 | LUCKY |
_Vs Division | 1 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 6 | 3.000 | 3 | 6 | 9 | 0 | 0 | 5 | 5 | 8 | 0 | 24 | 44 | 35 | 38 | 0 | 35 | 11 | 8 | 19 | 0 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 41 | 84 | 48.81% | 51 | 85 | 60.00% | 31 | 69 | 44.93% | 80 | 40 | 80 | 39 | 78 | 37 | 33.3% | 12.5% | 82.9% | 95.4 | FUN | |
_Vs Conference | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 11 | 7 | 6 | 0.750 | 18 | 30 | 48 | 0 | 1 | 5 | 5 | 8 | 0 | 117 | 44 | 35 | 38 | 0 | 110 | 44 | 40 | 92 | 11 | 3 | 27.27% | 15 | 0 | 100.00% | 0 | 41 | 84 | 48.81% | 51 | 85 | 60.00% | 31 | 69 | 44.93% | 80 | 40 | 80 | 39 | 78 | 37 | 57.7% | 15.4% | 90.0% | 105.4 | FUN | |
_Since Last GM Reset | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 11 | 7 | 6 | 0.750 | 18 | 30 | 48 | 0 | 1 | 5 | 5 | 8 | 0 | 117 | 44 | 35 | 38 | 0 | 110 | 44 | 40 | 92 | 11 | 3 | 27.27% | 15 | 0 | 100.00% | 0 | 41 | 84 | 48.81% | 51 | 85 | 60.00% | 31 | 69 | 44.93% | 80 | 40 | 80 | 39 | 78 | 37 | 57.7% | 15.4% | 90.0% | 105.4 | FUN | |
Total | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 11 | 7 | 6 | 0.750 | 18 | 30 | 48 | 0 | 1 | 5 | 5 | 8 | 0 | 117 | 44 | 35 | 38 | 0 | 110 | 44 | 40 | 92 | 11 | 3 | 27.27% | 15 | 0 | 100.00% | 0 | 41 | 84 | 48.81% | 51 | 85 | 60.00% | 31 | 69 | 44.93% | 80 | 40 | 80 | 39 | 78 | 37 | 57.7% | 15.4% | 90.0% | 105.4 | FUN |
Puck Time | |
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Offensive Zone | 20 |
Neutral Zone | 19 |
Defensive Zone | 20 |
Puck Time | |
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Offensive Zone Start | 84 |
Neutral Zone Start | 69 |
Defensive Zone Start | 85 |
Puck Time | |
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With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
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Faceoffs Won | 123 |
Faceoffs Lost | 115 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.0 | 9.57 |
2nd Period | 19.8 | 20.31 |
3rd Period | 29.3 | 30.68 |
Overtime | 29.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 4.5 | 2.67 |
Overtime | 4.5 | 2.83 |
Even Strenght Goal | 15 |
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PP Goal | 3 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 1 |
Lost | 0 | 1 |
Overtime Lost | 0 | 0 |
PP Attempt | 11 |
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PP Goal | 3 |
PK Attempt | 15 |
PK Goal Against | 0 |
Home | |
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Shots For | 29.3 |
Shots Against | 27.5 |
Goals For | 4.5 |
Goals Against | 2.8 |
Hits | 23.0 |
Shots Blocked | 11.0 |
Pim | 10.0 |
Date | Matchup | Result | Detail | |||||||||||
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Wed, Oct 8 | ![]() | @ | ![]() | CAR3,NYR5 | RECAP | |||||||||
Fri, Oct 10 | ![]() | @ | ![]() | NYR3,WAS0 | RECAP | |||||||||
Mon, Oct 13 | ![]() | @ | ![]() | WAS2,NYR7 | RECAP | |||||||||
Wed, Oct 15 | ![]() | @ | ![]() | NYR3,BOS6 | RECAP | |||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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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 |
39 | 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 |
---|---|---|---|
174,800$ | 0$ | 151,128$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 184 | 21,931$ | 3,530,891$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
3,530,891$ | 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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