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---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 39 | LW | 100.00 | 63 | 36 | 90 | 68 | 72 | 83 | 77 | 66 | 57 | 64 | 67 | 62 | 69 | 73 | 68 | 0 | 50 | 70 | 28 | 950,000$/1yrs | |||
![]() | 47 | LW | 100.00 | 86 | 40 | 87 | 61 | 83 | 77 | 88 | 59 | 53 | 58 | 60 | 63 | 57 | 64 | 66 | 0 | 50 | 69 | 25 | 804,000$/3yrs | |||
![]() | 23 | C | 100.00 | 63 | 36 | 92 | 65 | 70 | 84 | 71 | 65 | 77 | 67 | 63 | 62 | 65 | 70 | 72 | 0 | 50 | 69 | 30 | 750,000$/2yrs | |||
![]() | 32 | LW | 100.00 | 90 | 85 | 68 | 61 | 96 | 75 | 74 | 59 | 55 | 63 | 57 | 58 | 62 | 69 | 71 | 0 | 50 | 69 | 29 | 1,080,400$/5yrs | |||
![]() | 51 | C | 100.00 | 73 | 40 | 83 | 64 | 77 | 75 | 72 | 63 | 78 | 62 | 56 | 64 | 63 | 66 | 68 | 0 | 50 | 68 | 27 | 800,000$/2yrs | |||
![]() | 22 | C | 100.00 | 62 | 36 | 93 | 64 | 72 | 91 | 67 | 63 | 68 | 62 | 59 | 62 | 64 | 66 | 68 | 0 | 50 | 67 | 27 | 750,000$/2yrs | |||
![]() | 74 | RW | 100.00 | 68 | 35 | 93 | 59 | 77 | 75 | 72 | 63 | 56 | 58 | 62 | 57 | 63 | 65 | 64 | 0 | 50 | 66 | 25 | 850,000$/1yrs | |||
![]() | 87 | C | 100.00 | 61 | 43 | 84 | 58 | 82 | 73 | 77 | 57 | 70 | 59 | 58 | 62 | 59 | 78 | 65 | 0 | 50 | 66 | 32 | 750,000$/1yrs | |||
![]() | 17 | RW | 100.00 | 60 | 33 | 82 | 59 | 69 | 77 | 82 | 61 | 58 | 60 | 62 | 57 | 63 | 71 | 66 | 0 | 50 | 66 | 27 | 750,000$/1yrs | |||
![]() | 19 | RW | 100.00 | 59 | 36 | 91 | 62 | 69 | 80 | 79 | 61 | 63 | 59 | 60 | 61 | 64 | 69 | 71 | 0 | 50 | 66 | 30 | 879,000$/2yrs | |||
![]() | 61 | LW | 100.00 | 72 | 38 | 73 | 56 | 74 | 78 | 85 | 57 | 60 | 58 | 59 | 56 | 58 | 62 | 64 | 0 | 50 | 65 | 23 | 813,333$/3yrs | |||
![]() | 16 | C | 100.00 | 68 | 39 | 78 | 58 | 77 | 74 | 75 | 57 | 66 | 59 | 56 | 57 | 54 | 65 | 67 | 0 | 50 | 64 | 26 | 800,000$/1yrs | |||
![]() | 44 | D | 100.00 | 64 | 38 | 92 | 69 | 80 | 82 | 73 | 67 | 30 | 71 | 59 | 61 | 52 | 64 | 66 | 0 | 50 | 70 | 25 | 883,333$/3yrs | |||
![]() | 52 | D | 100.00 | 81 | 70 | 83 | 61 | 93 | 71 | 68 | 62 | 30 | 64 | 58 | 68 | 49 | 77 | 70 | 0 | 50 | 70 | 31 | 1,119,000$/1yrs | |||
![]() | 86 | D | 100.00 | 66 | 39 | 86 | 65 | 78 | 80 | 73 | 61 | 30 | 67 | 58 | 62 | 51 | 67 | 69 | 0 | 50 | 68 | 28 | 837,500$/2yrs | |||
![]() | 26 | D | 100.00 | 73 | 41 | 76 | 59 | 88 | 77 | 84 | 57 | 30 | 58 | 56 | 63 | 45 | 64 | 67 | 0 | 50 | 67 | 25 | 840,000$/4yrs | |||
![]() | 41 | D | 100.00 | 59 | 38 | 87 | 61 | 68 | 73 | 78 | 63 | 30 | 60 | 53 | 59 | 46 | 71 | 66 | 0 | 50 | 65 | 27 | 750,000$/1yrs | |||
![]() | 56 | D | 100.00 | 83 | 74 | 59 | 51 | 92 | 65 | 74 | 51 | 30 | 52 | 54 | 59 | 51 | 66 | 68 | 0 | 50 | 64 | 26 | 750,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 18 | C/LW/RW | 100.00 | 58 | 35 | 92 | 58 | 60 | 79 | 84 | 56 | 54 | 57 | 58 | 53 | 57 | 69 | 65 | 0 | 50 | 63 | 27 | 962,000$/1yrs | |||
![]() | 2 | D | 100.00 | 55 | 37 | 82 | 59 | 64 | 77 | 88 | 58 | 30 | 62 | 56 | 54 | 48 | 66 | 68 | 0 | 50 | 64 | 27 | 868,000$/2yrs | |||
![]() | 3 | D | 100.00 | 59 | 37 | 81 | 60 | 69 | 72 | 83 | 57 | 30 | 56 | 54 | 53 | 45 | 63 | 65 | 0 | 50 | 63 | 23 | 850,000$/3yrs | |||
![]() | 14 | D | 100.00 | 69 | 38 | 91 | 53 | 78 | 65 | 63 | 52 | 30 | 55 | 51 | 53 | 45 | 61 | 63 | 0 | 50 | 61 | 22 | 925,000$/3yrs | |||
![]() | 24 | D | 100.00 | 71 | 38 | 85 | 53 | 80 | 65 | 63 | 52 | 30 | 53 | 54 | 55 | 45 | 63 | 65 | 0 | 50 | 61 | 23 | 850,000$/3yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 1 | 100.00 | 78 | 82 | 85 | 94 | 77 | 76 | 78 | 77 | 76 | 78 | 77 | 74 | 78 | 0 | 50 | 81 | 28 | 900,000$/1yrs |
![]() | 35 | 100.00 | 72 | 74 | 73 | 76 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 63 | 69 | 0 | 50 | 73 | 24 | 1,050,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 60 | 100.00 | 62 | 78 | 80 | 71 | 61 | 60 | 62 | 61 | 60 | 62 | 61 | 69 | 73 | 0 | 50 | 67 | 26 | 840,000$/1yrs |
![]() | 45 | 100.00 | 64 | 66 | 67 | 74 | 63 | 62 | 64 | 63 | 62 | 64 | 63 | 62 | 67 | 0 | 50 | 66 | 22 | 925,000$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter Bondra | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Urk | 54 | 5 | 0$ |
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 | Dennis Cholowski | ![]() | D | 11 | 0 | 12 | 12 | 4 | 4 | 0 | 19 | 21 | 13 | 9 | 0.00% | 26 | 25.56 | 0 | 3 | 3 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 0 | 0 | 1.09 | 0 | 0 | 1.09 | |||
2 | Beck Malenstyn | ![]() | LW | 11 | 4 | 7 | 11 | 1 | 16 | 0 | 32 | 45 | 10 | 21 | 8.89% | 4 | 23.72 | 1 | 2 | 3 | 0 | 0 | 0 | 29 | 0 | 0 | 56.16% | 0 | 0 | 1.00 | 0 | 0 | 0.89 | |||
3 | Rourke Chartier | ![]() | C | 11 | 2 | 7 | 9 | 3 | 2 | 0 | 5 | 22 | 6 | 22 | 9.09% | 1 | 16.77 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 54.55% | 0 | 0 | 0.82 | 0 | 0 | 0.78 | |||
4 | Johnathan Kovacevic | ![]() | D | 11 | 5 | 3 | 8 | -1 | 2 | 0 | 12 | 14 | 4 | 12 | 35.71% | 23 | 20.93 | 2 | 0 | 2 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0.73 | 0 | 0 | 0.70 | |||
5 | Ross Johnston | ![]() | LW | 11 | 3 | 5 | 8 | 1 | 6 | 0 | 41 | 29 | 10 | 19 | 10.34% | 1 | 18.57 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 63.64% | 0 | 0 | 0.73 | 0 | 0 | 0.79 | |||
6 | Mathias Brome | ![]() | LW | 11 | 5 | 3 | 8 | -1 | 0 | 0 | 3 | 58 | 22 | 44 | 8.62% | 4 | 23.59 | 1 | 0 | 1 | 0 | 0 | 0 | 34 | 1 | 0 | 45.45% | 0 | 0 | 0.73 | 0 | 0 | 0.95 | |||
7 | Martin Marincin | ![]() | D | 11 | 2 | 5 | 7 | -6 | 29 | 5 | 26 | 20 | 7 | 13 | 10.00% | 23 | 19.12 | 1 | 2 | 3 | 0 | 0 | 0 | 25 | 0 | 0 | 0.00% | 0 | 0 | 0.64 | 0 | 0 | 0.10 | |||
8 | Michael Sgarbossa | ![]() | C | 11 | 2 | 4 | 6 | -5 | 4 | 0 | 4 | 45 | 14 | 40 | 4.44% | 6 | 16.96 | 1 | 3 | 4 | 0 | 0 | 0 | 9 | 1 | 0 | 46.75% | 0 | 0 | 0.55 | 0 | 0 | 0.56 | |||
9 | Dmitry Sokolov | ![]() | RW | 11 | 1 | 5 | 6 | 0 | 2 | 0 | 1 | 27 | 8 | 16 | 3.70% | 4 | 15.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52.94% | 0 | 0 | 0.55 | 0 | 0 | 0.58 | |||
10 | Mike Vecchione | ![]() | RW | 11 | 4 | 2 | 6 | 2 | 0 | 0 | 3 | 28 | 8 | 16 | 14.29% | 0 | 16.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 60.00% | 0 | 0 | 0.55 | 0 | 0 | 0.68 | |||
11 | Christian Wolanin | ![]() | D | 11 | 0 | 5 | 5 | -6 | 8 | 0 | 17 | 19 | 10 | 12 | 0.00% | 21 | 24.74 | 0 | 3 | 3 | 0 | 0 | 0 | 37 | 0 | 0 | 0.00% | 0 | 0 | 0.45 | 0 | 0 | 0.26 | |||
12 | Drew Shore | ![]() | C | 11 | 2 | 2 | 4 | -5 | 17 | 5 | 8 | 37 | 11 | 16 | 5.41% | 8 | 19.11 | 1 | 0 | 1 | 0 | 0 | 0 | 30 | 1 | 0 | 53.82% | 0 | 0 | 0.36 | 0 | 0 | 0.15 | |||
13 | Dmitry Osipov | ![]() | D | 11 | 1 | 2 | 3 | 1 | 16 | 0 | 36 | 6 | 2 | 7 | 16.67% | 12 | 15.47 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0.27 | 0 | 0 | 0.16 | |||
14 | J.C. Beaudin | ![]() | C | 11 | 2 | 0 | 2 | 1 | 2 | 0 | 1 | 12 | 5 | 5 | 16.67% | 1 | 8.60 | 0 | 0 | 0 | 0 | 0 | 0 | 40 | 0 | 0 | 45.95% | 1 | 0 | 0.18 | 0 | 0 | 0.22 | |||
15 | Cole Reinhardt | ![]() | LW | 11 | 0 | 0 | 0 | -5 | 2 | 0 | 27 | 11 | 3 | 12 | 0.00% | 3 | 13.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41.67% | 0 | 0 | 0.00 | 0 | 0 | -0.02 | |||
16 | Julius Honka | ![]() | D | 11 | 0 | 0 | 0 | 2 | 2 | 0 | 13 | 6 | 3 | 3 | 0.00% | 10 | 13.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.15 | |||
17 | Robert Lantosi | ![]() | RW | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
18 | Clark Bishop | ![]() | C | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
Team Total or Average | 198 | 33 | 62 | 95 | -14 | 112 | 10 | 248 | 400 | 136 | 267 | 8.25% | 147 | 16.26 | 7 | 14 | 21 | 292 | 0 | 0 | 0 | 293 | 4 | 1 | 51.57% | 1020 | 0 | 0 | 1 | 0 | 0.59 | 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 | Marcus Hogberg | ![]() | 11 | 4 | 6 | 0 | 0.901 | 4.02 | 552 | 0 | 0 | 37 | 372 | 0 | 0 | 0 | 0.000 | 0 | 11 | 0 | 1 | 1 | 2 |
2 | Kyle Keyser | ![]() | 3 | 0 | 1 | 0 | 0.983 | 0.57 | 105 | 0 | 0 | 1 | 60 | 0 | 0 | 0 | 0.000 | 0 | 0 | 11 | 0 | 0 | 0 |
Team Total or Average | 14 | 4 | 7 | 0 | 0.912 | 3.47 | 658 | 0 | 0 | 38 | 432 | 0 | 0 | 0 | 0.000 | 0 | 11 | 11 | 1 | 1 | 2 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Beck Malenstyn ![]() | LW | 25 | 804,000$ | 887,000$ | 762,500$ | 762,500$ | UFA | ||||
Christian Wolanin ![]() | D | 28 | 837,500$ | 925,000$ | 750,000$ | UFA | |||||
Clark Bishop ![]() | C | 27 | 800,000$ | 850,000$ | 750,000$ | UFA | |||||
Cole Reinhardt ![]() | LW | 23 | 813,333$ | 813,333$ | 813,333$ | 813,333$ | ![]() | ||||
Colten Ellis ![]() | G | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | ![]() | ||||
Dennis Cholowski ![]() | D | 25 | 883,333$ | 1,125,000$ | 762,500$ | 762,500$ | UFA | ||||
Dmitry Osipov ![]() | D | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Dmitry Sokolov ![]() | RW | 25 | 850,000$ | 850,000$ | ![]() | ||||||
Drew Shore ![]() | C | 32 | 750,000$ | 750,000$ | UFA | ||||||
Emil Larmi ![]() | G | 26 | 840,000$ | 840,000$ | ![]() | ||||||
J.C. Beaudin ![]() | C | 26 | 800,000$ | 800,000$ | ![]() | ||||||
Joe Hicketts ![]() | D | 27 | 868,000$ | 986,000$ | 750,000$ | UFA | |||||
Johnathan Kovacevic ![]() | D | 25 | 840,000$ | 1,060,000$ | 766,667$ | 766,667$ | 766,667$ | UFA | |||
Julius Honka ![]() | D | 27 | 750,000$ | 700,000$ | UFA | ||||||
Kyle Keyser ![]() | G | 24 | 1,050,000$ | 1,350,000$ | 750,000$ | ![]() | |||||
Layton Ahac ![]() | D | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | ![]() | ||||
Marc Del Gaizo ![]() | D | 23 | 850,000$ | 700,000$ | 925,000$ | 925,000$ | ![]() | ||||
Marcus Hogberg ![]() | G | 28 | 900,000$ | 900,000$ | UFA | ||||||
Martin Marincin ![]() | D | 31 | 1,119,000$ | 1,119,000$ | UFA | ||||||
Mathias Brome ![]() | LW | 28 | 950,000$ | 950,000$ | UFA | ||||||
Michael Callahan ![]() | D | 23 | 850,000$ | 700,000$ | 925,000$ | 925,000$ | ![]() | ||||
Michael Sgarbossa ![]() | C | 30 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Mike Vecchione ![]() | RW | 30 | 879,000$ | 1,008,000$ | 750,000$ | UFA | |||||
Patrick Newell ![]() | C/LW/RW | 27 | 962,000$ | 962,000$ | UFA | ||||||
Robert Lantosi ![]() | RW | 27 | 750,000$ | 727,000$ | UFA | ||||||
Ross Johnston ![]() | LW | 29 | 1,080,400$ | 1,002,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA | ||
Rourke Chartier ![]() | C | 27 | 750,000$ | 750,000$ | 750,000$ | UFA |
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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 | ![]() | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 21 | 20 | 1 | 8 | 0.571 | 21 | 38 | 59 | 0 | 0 | 16 | 6 | 11 | 0 | 249 | 134 | 127 | 139 | 0 | 281 | 98 | 74 | 154 | 24 | 4 | 16.67% | 26 | 5 | 80.77% | 0 | 214 | 417 | 51.32% | 226 | 433 | 52.19% | 86 | 170 | 50.59% | 273 | 192 | 252 | 77 | 133 | 68 | 53.1% | 8.4% | 92.9% | 101.3 | DULL |
2 | ![]() | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 18 | -6 | 0 | 0.000 | 12 | 24 | 36 | 0 | 0 | 16 | 6 | 11 | 0 | 151 | 134 | 127 | 139 | 0 | 151 | 49 | 38 | 94 | 13 | 3 | 23.08% | 18 | 4 | 77.78% | 0 | 214 | 417 | 51.32% | 226 | 433 | 52.19% | 86 | 170 | 50.59% | 273 | 192 | 252 | 77 | 133 | 68 | 39.1% | 7.9% | 88.1% | 96.0 | Unlucky |
_Vs Division | 11 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 33 | 38 | -5 | 8 | 0.364 | 33 | 62 | 95 | 0 | 0 | 16 | 6 | 11 | 0 | 400 | 134 | 127 | 139 | 0 | 432 | 147 | 112 | 248 | 37 | 7 | 18.92% | 44 | 9 | 79.55% | 0 | 214 | 417 | 51.32% | 226 | 433 | 52.19% | 86 | 170 | 50.59% | 273 | 192 | 252 | 77 | 133 | 68 | 47.3% | 8.3% | 91.2% | 99.5 | DULL | |
_Vs Conference | 11 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 33 | 38 | -5 | 8 | 0.364 | 33 | 62 | 95 | 0 | 0 | 16 | 6 | 11 | 0 | 400 | 134 | 127 | 139 | 0 | 432 | 147 | 112 | 248 | 37 | 7 | 18.92% | 44 | 9 | 79.55% | 0 | 214 | 417 | 51.32% | 226 | 433 | 52.19% | 86 | 170 | 50.59% | 273 | 192 | 252 | 77 | 133 | 68 | 47.3% | 8.3% | 91.2% | 99.5 | DULL | |
_Since Last GM Reset | 11 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 33 | 38 | -5 | 8 | 0.364 | 33 | 62 | 95 | 0 | 0 | 16 | 6 | 11 | 0 | 400 | 134 | 127 | 139 | 0 | 432 | 147 | 112 | 248 | 37 | 7 | 18.92% | 44 | 9 | 79.55% | 0 | 214 | 417 | 51.32% | 226 | 433 | 52.19% | 86 | 170 | 50.59% | 273 | 192 | 252 | 77 | 133 | 68 | 47.3% | 8.3% | 91.2% | 99.5 | DULL | |
Total | 11 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 33 | 38 | -5 | 8 | 0.364 | 33 | 62 | 95 | 0 | 0 | 16 | 6 | 11 | 0 | 400 | 134 | 127 | 139 | 0 | 432 | 147 | 112 | 248 | 37 | 7 | 18.92% | 44 | 9 | 79.55% | 0 | 214 | 417 | 51.32% | 226 | 433 | 52.19% | 86 | 170 | 50.59% | 273 | 192 | 252 | 77 | 133 | 68 | 47.3% | 8.3% | 91.2% | 99.5 | DULL |
Puck Time | |
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Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 22 |
Puck Time | |
---|---|
Offensive Zone Start | 417 |
Neutral Zone Start | 170 |
Defensive Zone Start | 433 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 526 |
Faceoffs Lost | 494 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 12.2 | 9.57 |
2nd Period | 23.7 | 20.31 |
3rd Period | 36.4 | 30.68 |
Overtime | 36.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.5 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 3.0 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 26 |
---|---|
PP Goal | 7 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 2 | 2 |
Lost | 4 | 3 |
Overtime Lost | 0 | 0 |
PP Attempt | 37 |
---|---|
PP Goal | 7 |
PK Attempt | 44 |
PK Goal Against | 9 |
Home | |
---|---|
Shots For | 36.4 |
Shots Against | 39.3 |
Goals For | 3.0 |
Goals Against | 3.5 |
Hits | 22.5 |
Shots Blocked | 13.4 |
Pim | 10.2 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Wed, Apr 19 | ![]() | @ | ![]() | CHW1,HER0 | RECAP | |||||||||
Fri, Apr 21 | ![]() | @ | ![]() | CHW4,HER5 | RECAP | |||||||||
Sun, Apr 23 | ![]() | @ | ![]() | HER4,CHW2 | RECAP | |||||||||
Tue, Apr 25 | ![]() | @ | ![]() | HER3,CHW1 | RECAP | |||||||||
Thu, Apr 27 | ![]() | @ | ![]() | CHW5,HER4 | RECAP | |||||||||
Sat, Apr 29 | ![]() | @ | ![]() | HER1,CHW4 | RECAP | |||||||||
Mon, May 1 | ![]() | @ | ![]() | CHW3,HER4 | RECAP | |||||||||
Wed, May 3 | ![]() | @ | ![]() | HER4,HAR5 | RECAP | |||||||||
Fri, May 5 | ![]() | @ | ![]() | HER2,HAR4 | RECAP | |||||||||
Sun, May 7 | ![]() | @ | ![]() | HAR4,HER2 | RECAP | |||||||||
Tue, May 9 | ![]() | @ | ![]() | HAR5,HER4 | RECAP |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,410,433$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
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![]() | Name | |
City | Hershey | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 2000 | 1000 | |||
Ticket Price | 30$ | 20$ | $ | $ | $ |
Attendance | 11962 | 4626 | |||
Attendance PCT | 99.68% | 77.10% | 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 |
35 | 2765 - 92.16% | 112,093$ | 672,558$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,410,433$ | 2,332,656$ | 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$ | 7 | 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 |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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