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Full Scoreboard »» |
Belleville Senators 6-13-2, 14pts · 15th 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 | LW/RW | 100.00 | 58 | 34 | 83 | 73 | 85 | 84 | 79 | 73 | 57 | 87 | 63 | 64 | 68 | 83 | 81 | 0 | 22 | 83 | 34 | 8,250,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 59 | 38 | 94 | 66 | 71 | 74 | 88 | 66 | 77 | 70 | 67 | 66 | 68 | 72 | 73 | 0 | 21 | 77 | 28 | 775,000$/2yrs | |||
![]() | 32 | RW | 100.00 | 79 | 37 | 90 | 62 | 92 | 75 | 80 | 64 | 58 | 64 | 67 | 74 | 66 | 65 | 64 | 0 | 35 | 77 | 24 | 775,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 99 | 45 | 50 | 58 | 86 | 71 | 84 | 58 | 76 | 61 | 61 | 70 | 61 | 75 | 80 | 0 | 35 | 75 | 30 | 775,000$/1yrs | |||
![]() | 0 | LW | 99.00 | 69 | 40 | 82 | 57 | 81 | 72 | 88 | 59 | 39 | 63 | 61 | 74 | 62 | 81 | 82 | 0 | 35 | 75 | 33 | 775,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 75 | 39 | 76 | 65 | 67 | 72 | 88 | 63 | 50 | 67 | 66 | 65 | 66 | 67 | 69 | 0 | 34 | 75 | 25 | 1,000,000$/3yrs | |||
![]() | 0 | C | 99.00 | 58 | 38 | 96 | 62 | 81 | 69 | 88 | 62 | 68 | 65 | 59 | 65 | 62 | 63 | 63 | 0 | 35 | 73 | 23 | 850,833$/1yrs | |||
![]() | 0 | C | 100.00 | 69 | 39 | 83 | 60 | 81 | 70 | 83 | 59 | 66 | 59 | 62 | 65 | 60 | 66 | 68 | 0 | 35 | 72 | 25 | 775,000$/1yrs | |||
![]() | 0 | C | 100.00 | 61 | 37 | 92 | 63 | 66 | 69 | 86 | 62 | 66 | 65 | 61 | 62 | 63 | 61 | 62 | 0 | 35 | 72 | 22 | 809,444$/1yrs | |||
![]() | 0 | RW | 100.00 | 74 | 33 | 88 | 55 | 78 | 69 | 66 | 60 | 30 | 50 | 71 | 67 | 65 | 68 | 67 | 0 | 29 | 72 | 26 | 775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 79 | 40 | 71 | 61 | 79 | 67 | 86 | 58 | 48 | 61 | 60 | 61 | 61 | 61 | 64 | 0 | 35 | 72 | 22 | 789,767$/1yrs | |||
![]() | 0 | RW | 100.00 | 74 | 40 | 77 | 64 | 81 | 68 | 87 | 60 | 67 | 62 | 63 | 61 | 62 | 58 | 60 | 0 | 27 | 72 | 20 | 833,333$/3yrs | |||
![]() | 52 | D | 99.00 | 75 | 39 | 78 | 64 | 78 | 76 | 82 | 63 | 30 | 69 | 63 | 70 | 65 | 70 | 72 | 0 | 36 | 78 | 27 | 1,000,000$/1yrs | |||
![]() | 93 | D | 100.00 | 99 | 41 | 50 | 62 | 58 | 72 | 89 | 61 | 30 | 68 | 61 | 68 | 65 | 72 | 77 | 0 | 21 | 78 | 28 | 775,000$/1yrs | |||
![]() | 27 | D | 99.00 | 95 | 42 | 55 | 62 | 76 | 72 | 78 | 61 | 30 | 67 | 55 | 69 | 61 | 68 | 72 | 0 | 35 | 77 | 26 | 775,000$/2yrs | |||
![]() | 0 | D | 100.00 | 63 | 38 | 89 | 61 | 74 | 72 | 89 | 62 | 30 | 67 | 57 | 71 | 62 | 75 | 76 | 0 | 26 | 76 | 30 | 775,000$/1yrs | |||
![]() | 55 | D | 100.00 | 58 | 32 | 77 | 65 | 75 | 78 | 66 | 65 | 30 | 71 | 50 | 70 | 57 | 59 | 56 | 0 | 32 | 76 | 20 | 925,000$/1yrs | |||
![]() | 48 | D | 99.00 | 91 | 42 | 56 | 62 | 80 | 69 | 80 | 61 | 42 | 65 | 60 | 64 | 62 | 65 | 69 | 0 | 35 | 75 | 24 | 775,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 89 | C/RW | 100.00 | 70 | 39 | 74 | 68 | 71 | 66 | 73 | 66 | 65 | 70 | 67 | 61 | 68 | 63 | 61 | 0 | 16 | 76 | 24 | 1,000,000$/2yrs | |||
![]() | 64 | LW | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 20 | 10 | 27 | ||||
![]() | 27 | C | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 20 | 10 | 26 | ||||
![]() | 58 | D | 91.65 | 70 | 39 | 82 | 64 | 77 | 73 | 85 | 62 | 30 | 69 | 60 | 68 | 64 | 68 | 70 | 0 | 24 | 77 | 26 | 1,000,000$/3yrs | |||
![]() | 22 | D | 100.00 | 67 | 33 | 74 | 61 | 78 | 81 | 74 | 58 | 30 | 66 | 64 | 67 | 61 | 68 | 66 | 0 | 20 | 75 | 26 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 92 | 43 | 50 | 53 | 77 | 61 | 72 | 56 | 65 | 59 | 55 | 70 | 57 | 75 | 70 | 0 | 28 | 73 | 31 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 70 | 40 | 80 | 57 | 74 | 70 | 79 | 56 | 30 | 60 | 54 | 67 | 57 | 63 | 64 | 0 | 28 | 72 | 23 | 805,000$/3yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 49 | 99.00 | 89 | 66 | 68 | 81 | 79 | 69 | 80 | 78 | 80 | 75 | 80 | 76 | 80 | 0 | 29 | 81 | 30 | 1,000,000$/2yrs |
![]() | 0 | 100.00 | 69 | 77 | 69 | 77 | 74 | 74 | 74 | 69 | 74 | 69 | 72 | 83 | 85 | 0 | 30 | 78 | 34 | 775,000$/1yrs |
Scratches | ||||||||||||||||||||
![]() | 35 | 100.00 | 60 | 60 | 65 | 73 | 51 | 60 | 60 | 61 | 60 | 72 | 60 | 64 | 67 | 0 | 26 | 67 | 26 | 775,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Ken Hitchcock | 79 | 72 | 74 | 72 | 99 | 92 | 39 | CAN | 71 | 5 | 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 | Darren Raddysh | D | 21 | 2 | 14 | 16 | 3 | 21 | 5 | 23 | 35 | 14 | 21 | 5.71% | 36 | 21.91 | 1 | 3 | 4 | 44 | 1 | 0 | 1 | 64 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
2 | Oskar Back | C | 19 | 5 | 9 | 14 | -2 | 0 | 0 | 0 | 50 | 15 | 29 | 10.00% | 1 | 19.77 | 1 | 2 | 3 | 39 | 0 | 0 | 0 | 50 | 1 | 0 | 55.24% | 458 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | ||
3 | Jakub Voracek | LW/RW | 19 | 3 | 10 | 13 | 1 | 2 | 0 | 15 | 57 | 20 | 41 | 5.26% | 1 | 18.55 | 1 | 2 | 3 | 53 | 0 | 0 | 0 | 2 | 0 | 0 | 41.67% | 24 | 0 | 0 | 0 | 0 | 0.74 | 1 | 1 | ||
4 | Alexei Toropchenko | RW | 19 | 8 | 4 | 12 | 1 | 8 | 0 | 38 | 65 | 8 | 48 | 12.31% | 8 | 17.54 | 2 | 2 | 4 | 41 | 0 | 0 | 0 | 0 | 0 | 0 | 36.84% | 19 | 0 | 0 | 0 | 0 | 0.72 | 0 | 1 | ||
5 | Maxime Lajoie | D | 19 | 4 | 6 | 10 | 3 | 0 | 0 | 7 | 18 | 4 | 10 | 22.22% | 24 | 21.33 | 1 | 1 | 2 | 11 | 0 | 0 | 0 | 66 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | ||
6 | Parker Wotherspoon | D | 19 | 2 | 8 | 10 | 0 | 26 | 0 | 61 | 14 | 7 | 8 | 14.29% | 24 | 17.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 47 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | ||
7 | Joseph LaBate | LW/RW | 19 | 4 | 4 | 8 | -3 | 36 | 0 | 68 | 35 | 12 | 28 | 11.43% | 2 | 17.77 | 1 | 2 | 3 | 40 | 0 | 0 | 0 | 5 | 1 | 0 | 52.94% | 34 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
8 | Tim Schaller | LW | 19 | 3 | 4 | 7 | -2 | 0 | 0 | 1 | 38 | 10 | 34 | 7.89% | 2 | 17.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51 | 0 | 0 | 35.29% | 17 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
9 | Mikhail Abramov | C | 19 | 2 | 3 | 5 | 2 | 4 | 0 | 1 | 24 | 14 | 23 | 8.33% | 1 | 11.38 | 1 | 1 | 2 | 42 | 0 | 0 | 0 | 2 | 0 | 0 | 47.32% | 224 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
10 | Connor Bunnaman | C | 19 | 2 | 2 | 4 | -6 | 0 | 0 | 6 | 31 | 4 | 16 | 6.45% | 6 | 13.16 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 71 | 0 | 0 | 54.47% | 369 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
11 | Kasper Bjorkqvist | RW | 21 | 2 | 2 | 4 | -2 | 23 | 5 | 24 | 51 | 15 | 28 | 3.92% | 3 | 12.07 | 1 | 0 | 1 | 58 | 0 | 0 | 0 | 0 | 0 | 0 | 35.29% | 17 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | ||
12 | Danila Klimovich | RW | 15 | 1 | 3 | 4 | -1 | 2 | 0 | 1 | 9 | 1 | 8 | 11.11% | 0 | 3.94 | 1 | 2 | 3 | 39 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.36 | 0 | 0 | ||
13 | Linus Weissbach | LW | 19 | 2 | 2 | 4 | -4 | 2 | 0 | 38 | 61 | 12 | 40 | 3.28% | 6 | 20.31 | 0 | 0 | 0 | 15 | 0 | 0 | 0 | 68 | 0 | 0 | 31.91% | 47 | 0 | 0 | 0 | 0 | 0.21 | 1 | 1 | ||
14 | Edward Wittchow | D | 9 | 1 | 2 | 3 | 1 | 8 | 0 | 23 | 5 | 0 | 4 | 20.00% | 8 | 14.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
15 | Brandt Clarke | D | 12 | 1 | 2 | 3 | 0 | 2 | 0 | 7 | 4 | 2 | 3 | 25.00% | 8 | 10.77 | 0 | 0 | 0 | 14 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
16 | Jake Lucchini | LW | 7 | 1 | 1 | 2 | 0 | 2 | 0 | 2 | 17 | 4 | 7 | 5.88% | 0 | 15.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 56.91% | 123 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
17 | Alexander Chmelevski | C/RW | 2 | 0 | 2 | 2 | 2 | 2 | 0 | 4 | 2 | 0 | 1 | 0.00% | 0 | 15.91 | 0 | 1 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 44.00% | 50 | 0 | 0 | 0 | 0 | 1.26 | 0 | 0 | ||
18 | Jonathan Aspirot | D | 19 | 0 | 2 | 2 | -10 | 36 | 0 | 61 | 12 | 3 | 4 | 0.00% | 14 | 15.51 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 24 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.14 | 0 | 0 | ||
19 | Jacob Bernard-Docker | D | 12 | 1 | 1 | 2 | -3 | 2 | 0 | 4 | 10 | 5 | 10 | 10.00% | 17 | 19.73 | 0 | 0 | 0 | 36 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | ||
20 | Robbie Russo | D | 7 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 6 | 1 | 3 | 0.00% | 5 | 15.66 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | ||
21 | Nathan Legare | RW | 19 | 0 | 1 | 1 | -5 | 4 | 0 | 30 | 16 | 7 | 15 | 0.00% | 1 | 9.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.31% | 26 | 0 | 0 | 0 | 0 | 0.11 | 0 | 0 | ||
22 | Nikolas Brouillard | D | 7 | 0 | 1 | 1 | -4 | 8 | 0 | 21 | 8 | 1 | 9 | 0.00% | 5 | 14.73 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | ||
23 | Kyle Capobianco | D | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 1 | 0 | 0 | 0.00% | 3 | 17.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 343 | 44 | 84 | 128 | -29 | 188 | 10 | 446 | 569 | 159 | 390 | 7.73% | 175 | 15.92 | 10 | 16 | 26 | 455 | 1 | 0 | 1 | 521 | 4 | 0 | 51.49% | 1408 | 0 | 0 | 0 | 0 | 0.47 | 2 | 3 |
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 | Keith Kinkaid | 11 | 4 | 4 | 1 | 0.904 | 2.62 | 596 | 0 | 0 | 26 | 270 | 0 | 0 | 0 | 0.000 | 0 | 9 | 10 | 2 | 1 | 0 | |
2 | Alex Lyon | 11 | 2 | 7 | 1 | 0.898 | 3.26 | 553 | 0 | 1 | 30 | 294 | 0 | 0 | 1 | 1.000 | 2 | 10 | 9 | 1 | 1 | 0 | |
Team Total or Average | 22 | 6 | 11 | 2 | 0.901 | 2.92 | 1150 | 0 | 1 | 56 | 564 | 0 | 0 | 1 | 1.000 | 2 | 19 | 19 | 3 | 2 | 0 |
Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Lyon | G | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Alexander Chmelevski | C/RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
Alexei Toropchenko | RW | 24 | 775,000$ | 775,000$ | 775,000$ | ||||||
Brandt Clarke | D | 20 | 925,000$ | 925,000$ | RFA | ||||||
Calvin Thurkauf | C | 26 | 0$ | ||||||||
Connor Bunnaman | C | 25 | 775,000$ | 775,000$ | |||||||
Danila Klimovich | RW | 20 | 833,333$ | 833,333$ | 833,333$ | 833,333$ | RFA | ||||
Darren Raddysh | D | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Edward Wittchow | D | 31 | 775,000$ | 775,000$ | UFA | ||||||
Jacob Bernard-Docker | D | 23 | 805,000$ | 805,000$ | 805,000$ | 805,000$ | |||||
Jake Lucchini | LW | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Jakub Voracek | LW/RW | 34 | 8,250,000$ | 8,250,000$ | UFA | ||||||
Jeremiah Addison | LW | 27 | 0$ | UFA | |||||||
Jonathan Aspirot | D | 24 | 775,000$ | 775,000$ | |||||||
Joseph LaBate | LW/RW | 30 | 775,000$ | 775,000$ | UFA | ||||||
Kasper Bjorkqvist | RW | 26 | 775,000$ | 775,000$ | |||||||
Keith Kinkaid | G | 34 | 775,000$ | 775,000$ | UFA | ||||||
Kyle Capobianco | D | 26 | 775,000$ | 775,000$ | |||||||
Linus Weissbach | LW | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Maxime Lajoie | D | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
Mikhail Abramov | C | 22 | 809,444$ | 809,444$ | RFA | ||||||
Nathan Legare | RW | 22 | 789,767$ | 789,767$ | RFA | ||||||
Nikolas Brouillard | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Oskar Back | C | 23 | 850,833$ | 850,833$ | RFA | ||||||
Parker Wotherspoon | D | 26 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Robbie Russo | D | 30 | 775,000$ | 775,000$ | UFA | ||||||
Tim Schaller | LW | 33 | 775,000$ | 775,000$ | UFA | ||||||
Veini Vehvilainen | G | 26 | 775,000$ | 775,000$ |
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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 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 13 | -7 | 0 | 0.000 | 6 | 10 | 16 | 0 | 0 | 30 | 7 | 11 | 2 | 57 | 230 | 175 | 202 | 10 | 113 | 32 | 16 | 44 | 6 | 1 | 16.67% | 7 | 2 | 71.43% | 1 | 364 | 716 | 50.84% | 353 | 727 | 48.56% | 159 | 338 | 47.04% | 483 | 328 | 518 | 161 | 269 | 130 | 31.3% | 10.5% | 88.5% | 99.0 | FUN | |
2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 30 | 7 | 11 | 2 | 34 | 230 | 175 | 202 | 10 | 31 | 9 | 6 | 29 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 364 | 716 | 50.84% | 353 | 727 | 48.56% | 159 | 338 | 47.04% | 483 | 328 | 518 | 161 | 269 | 130 | 50.0% | 5.9% | 90.3% | 96.2 | Unlucky | |
3 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 30 | 7 | 11 | 2 | 34 | 230 | 175 | 202 | 10 | 34 | 11 | 4 | 30 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 364 | 716 | 50.84% | 353 | 727 | 48.56% | 159 | 338 | 47.04% | 483 | 328 | 518 | 161 | 269 | 130 | 60.0% | 8.8% | 94.1% | 102.9 | DULL | |
4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 30 | 7 | 11 | 2 | 41 | 230 | 175 | 202 | 10 | 28 | 8 | 10 | 18 | 1 | 1 | 100.00% | 5 | 4 | 20.00% | 0 | 364 | 716 | 50.84% | 353 | 727 | 48.56% | 159 | 338 | 47.04% | 483 | 328 | 518 | 161 | 269 | 130 | 40.0% | 7.3% | 75.0% | 82.3 | Unlucky | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 30 | 7 | 11 | 2 | 34 | 230 | 175 | 202 | 10 | 25 | 8 | 10 | 18 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 364 | 716 | 50.84% | 353 | 727 | 48.56% | 159 | 338 | 47.04% | 483 | 328 | 518 | 161 | 269 | 130 | 50.0% | 8.8% | 80.0% | 88.8 | Unlucky | |
6 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 4 | 0.667 | 7 | 14 | 21 | 0 | 1 | 30 | 7 | 11 | 2 | 94 | 230 | 175 | 202 | 10 | 101 | 29 | 43 | 62 | 8 | 0 | 0.00% | 13 | 0 | 100.00% | 0 | 364 | 716 | 50.84% | 353 | 727 | 48.56% | 159 | 338 | 47.04% | 483 | 328 | 518 | 161 | 269 | 130 | 70.0% | 7.4% | 97.0% | 104.5 | DULL | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | -8 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 30 | 7 | 11 | 2 | 20 | 230 | 175 | 202 | 10 | 65 | 25 | 13 | 18 | 4 | 1 | 25.00% | 3 | 1 | 66.67% | 0 | 364 | 716 | 50.84% | 353 | 727 | 48.56% | 159 | 338 | 47.04% | 483 | 328 | 518 | 161 | 269 | 130 | 0.0% | 5.0% | 86.2% | 91.2 | Unlucky | |
8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 30 | 7 | 11 | 2 | 35 | 230 | 175 | 202 | 10 | 17 | 7 | 2 | 18 | 5 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 364 | 716 | 50.84% | 353 | 727 | 48.56% | 159 | 338 | 47.04% | 483 | 328 | 518 | 161 | 269 | 130 | 40.0% | 5.7% | 82.4% | 88.1 | Unlucky | |
9 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 30 | 7 | 11 | 2 | 40 | 230 | 175 | 202 | 10 | 24 | 9 | 6 | 27 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 364 | 716 | 50.84% | 353 | 727 | 48.56% | 159 | 338 | 47.04% | 483 | 328 | 518 | 161 | 269 | 130 | 40.0% | 5.0% | 87.5% | 92.5 | Unlucky | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 30 | 7 | 11 | 2 | 24 | 230 | 175 | 202 | 10 | 28 | 12 | 20 | 24 | 1 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 364 | 716 | 50.84% | 353 | 727 | 48.56% | 159 | 338 | 47.04% | 483 | 328 | 518 | 161 | 269 | 130 | 66.7% | 8.3% | 85.7% | 94.0 | Unlucky | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 30 | 7 | 11 | 2 | 43 | 230 | 175 | 202 | 10 | 51 | 11 | 16 | 37 | 7 | 2 | 28.57% | 8 | 0 | 100.00% | 0 | 364 | 716 | 50.84% | 353 | 727 | 48.56% | 159 | 338 | 47.04% | 483 | 328 | 518 | 161 | 269 | 130 | 28.6% | 9.3% | 90.2% | 99.5 | FUN | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 30 | 7 | 11 | 2 | 59 | 230 | 175 | 202 | 10 | 68 | 16 | 32 | 56 | 5 | 1 | 20.00% | 14 | 3 | 78.57% | 0 | 364 | 716 | 50.84% | 353 | 727 | 48.56% | 159 | 338 | 47.04% | 483 | 328 | 518 | 161 | 269 | 130 | 57.1% | 8.5% | 91.2% | 99.7 | DULL | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 1 | 0 | 30 | 7 | 11 | 2 | 36 | 230 | 175 | 202 | 10 | 32 | 8 | 8 | 27 | 6 | 1 | 16.67% | 4 | 1 | 75.00% | 0 | 364 | 716 | 50.84% | 353 | 727 | 48.56% | 159 | 338 | 47.04% | 483 | 328 | 518 | 161 | 269 | 130 | 25.0% | 5.6% | 87.5% | 93.1 | Unlucky | |
14 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 30 | 7 | 11 | 2 | 32 | 230 | 175 | 202 | 10 | 60 | 19 | 12 | 53 | 5 | 1 | 20.00% | 6 | 1 | 83.33% | 0 | 364 | 716 | 50.84% | 353 | 727 | 48.56% | 159 | 338 | 47.04% | 483 | 328 | 518 | 161 | 269 | 130 | 50.0% | 12.5% | 93.3% | 105.8 | LUCKY | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 30 | 7 | 11 | 2 | 31 | 230 | 175 | 202 | 10 | 27 | 3 | 2 | 14 | 6 | 2 | 33.33% | 1 | 0 | 100.00% | 0 | 364 | 716 | 50.84% | 353 | 727 | 48.56% | 159 | 338 | 47.04% | 483 | 328 | 518 | 161 | 269 | 130 | 20.0% | 9.7% | 85.2% | 94.9 | FUN | |
_Vs Division | 9 | 5 | 5 | 0 | 0 | 2 | 0 | 0 | 23 | 44 | -21 | 12 | 0.667 | 23 | 40 | 63 | 0 | 0 | 30 | 7 | 11 | 2 | 276 | 230 | 175 | 202 | 10 | 366 | 104 | 83 | 209 | 28 | 6 | 21.43% | 35 | 11 | 68.57% | 1 | 364 | 716 | 50.84% | 353 | 727 | 48.56% | 159 | 338 | 47.04% | 483 | 328 | 518 | 161 | 269 | 130 | 34.0% | 8.3% | 88.0% | 96.3 | Unlucky | |
_Vs Conference | 19 | 5 | 11 | 0 | 0 | 2 | 1 | 0 | 45 | 68 | -23 | 14 | 0.368 | 45 | 82 | 127 | 0 | 1 | 30 | 7 | 11 | 2 | 543 | 230 | 175 | 202 | 10 | 655 | 192 | 190 | 430 | 54 | 9 | 16.67% | 80 | 17 | 78.75% | 1 | 364 | 716 | 50.84% | 353 | 727 | 48.56% | 159 | 338 | 47.04% | 483 | 328 | 518 | 161 | 269 | 130 | 41.4% | 8.3% | 89.6% | 97.9 | Unlucky | |
_Since Last GM Reset | 21 | 5 | 13 | 0 | 0 | 2 | 1 | 0 | 49 | 75 | -26 | 14 | 0.333 | 49 | 90 | 139 | 1 | 1 | 30 | 7 | 11 | 2 | 614 | 230 | 175 | 202 | 10 | 704 | 207 | 200 | 475 | 65 | 10 | 15.38% | 84 | 18 | 78.57% | 1 | 364 | 716 | 50.84% | 353 | 727 | 48.56% | 159 | 338 | 47.04% | 483 | 328 | 518 | 161 | 269 | 130 | 40.6% | 8.0% | 89.3% | 97.3 | Unlucky | |
Total | 21 | 5 | 13 | 0 | 0 | 2 | 1 | 0 | 49 | 75 | -26 | 14 | 0.333 | 49 | 90 | 139 | 1 | 1 | 30 | 7 | 11 | 2 | 614 | 230 | 175 | 202 | 10 | 704 | 207 | 200 | 475 | 65 | 10 | 15.38% | 84 | 18 | 78.57% | 1 | 364 | 716 | 50.84% | 353 | 727 | 48.56% | 159 | 338 | 47.04% | 483 | 328 | 518 | 161 | 269 | 130 | 40.6% | 8.0% | 89.3% | 97.3 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 716 |
Neutral Zone Start | 338 |
Defensive Zone Start | 727 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 876 |
Faceoffs Lost | 905 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.0 | 9.57 |
2nd Period | 19.3 | 20.31 |
3rd Period | 28.9 | 30.68 |
Overtime | 29.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.3 | 2.67 |
Overtime | 2.4 | 2.83 |
Even Strenght Goal | 37 |
---|---|
PP Goal | 10 |
PK Goal | 1 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 4 | 2 |
Lost | 7 | 6 |
Overtime Lost | 1 | 1 |
PP Attempt | 65 |
---|---|
PP Goal | 10 |
PK Attempt | 84 |
PK Goal Against | 18 |
Home | |
---|---|
Shots For | 29.2 |
Shots Against | 33.5 |
Goals For | 2.3 |
Goals Against | 3.6 |
Hits | 22.6 |
Shots Blocked | 9.9 |
Pim | 9.5 |
Date | Matchup | Result | Detail | |||||||||||
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2023-10-14 | @ | Senators1,Bears9 | RECAP | |||||||||||
2023-10-15 | @ | Senators3,Phantoms9 | RECAP | |||||||||||
2023-10-21 | @ | Rocket0,Senators3 | RECAP | |||||||||||
2023-10-25 | @ | Admirals3,Senators2 | RECAP | |||||||||||
2023-10-27 | @ | Marlies1,Senators2 | RECAP | |||||||||||
2023-10-28 | @ | Marlies3,Senators2 | RECAP | |||||||||||
2023-11-03 | @ | Senators2,Thunderbirds4 | RECAP | |||||||||||
2023-11-04 | @ | Senators3,Penguins4 | RECAP | |||||||||||
2023-11-08 | @ | Crunch3,Senators2 (OT) | RECAP | |||||||||||
2023-11-10 | @ | Monsters4,Senators2 | RECAP | |||||||||||
2023-11-12 | @ | Monsters2,Senators3 | RECAP | |||||||||||
2023-11-15 | @ | Senators4,Rocket1 | RECAP | |||||||||||
2023-11-17 | @ | Moose4,Senators2 | RECAP | |||||||||||
2023-11-18 | @ | Phantoms4,Senators3 | RECAP | |||||||||||
2023-11-25 | @ | Senators3,Wolf Pack7 | RECAP | |||||||||||
2023-11-26 | @ | Senators3,Islanders2 (SO) | RECAP | |||||||||||
2023-11-29 | @ | Senators2,Comets3 (OT) | RECAP | |||||||||||
2023-12-01 | @ | Americans1,Senators3 | RECAP | |||||||||||
2023-12-02 | @ | Americans4,Senators1 | RECAP | |||||||||||
2023-12-06 | @ | Senators0,Rocket2 | RECAP | |||||||||||
2023-12-08 | @ | Griffins5,Senators3 | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
1,908,837$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
![]() | Name | |
City | Belleville | |
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 |
24 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
1,908,837$ | 1,908,837$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
750,487$ | 9,789$ | 596,647$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 132 | 12,353$ | 1,667,655$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
1,667,655$ | 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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