| Belleville Senators 9-8-3, 21pts · 13th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nathan Legare | 0 | RW | 100.00 | 82 | 42 | 55 | 54 | 80 | 64 | 69 | 62 | 36 | 52 | 56 | 66 | 54 | 64 | 60 | 0 | 41 | 68 | 24 | 800,000$/2yrs | |||
Danila Klimovich | 0 | RW | 100.00 | 73 | 41 | 70 | 57 | 80 | 65 | 70 | 60 | 50 | 54 | 59 | 63 | 57 | 61 | 58 | 0 | 40 | 68 | 22 | 833,333$/1yrs | |||
Chase Bradley (R) | 0 | LW | 100.00 | 69 | 39 | 76 | 55 | 70 | 64 | 67 | 61 | 46 | 53 | 57 | 64 | 55 | 63 | 60 | 0 | 40 | 68 | 23 | 900,000$/2yrs | |||
Alexei Toropchenko | 32 | RW | 100.00 | 71 | 42 | 73 | 52 | 92 | 62 | 66 | 62 | 35 | 53 | 51 | 66 | 52 | 64 | 62 | 0 | 37 | 67 | 26 | 1,700,000$/1yrs | |||
Oskar Back | 0 | C | 100.00 | 58 | 39 | 94 | 55 | 81 | 63 | 87 | 61 | 63 | 58 | 50 | 65 | 54 | 63 | 62 | 0 | 40 | 67 | 25 | 825,000$/2yrs | |||
Filip Mesar (R) | 0 | C/RW | 100.00 | 63 | 38 | 86 | 56 | 70 | 63 | 66 | 59 | 43 | 58 | 53 | 62 | 55 | 59 | 58 | 0 | 40 | 67 | 21 | 918,333$/1yrs | |||
Lucas Ciona (R) | 0 | LW | 100.00 | 81 | 42 | 57 | 54 | 83 | 62 | 67 | 60 | 46 | 53 | 53 | 64 | 53 | 61 | 57 | 0 | 37 | 67 | 22 | 830,000$/1yrs | |||
Matyas Sapovaliv (R) | 0 | C | 100.00 | 61 | 39 | 90 | 55 | 83 | 62 | 67 | 59 | 50 | 53 | 55 | 63 | 54 | 59 | 58 | 0 | 40 | 67 | 21 | 803,334$/2yrs | |||
Jakub Stancl (R) | 0 | LW | 100.00 | 66 | 40 | 80 | 58 | 80 | 64 | 86 | 54 | 48 | 57 | 57 | 60 | 57 | 57 | 55 | 0 | 40 | 67 | 20 | 835,778$/3yrs | |||
Martin Misiak (R) | 0 | LW/RW | 100.00 | 57 | 39 | 91 | 56 | 80 | 64 | 87 | 53 | 30 | 57 | 57 | 61 | 57 | 57 | 57 | 0 | 40 | 66 | 21 | 878,333$/3yrs | |||
Mark Duarte | 0 | RW | 100.00 | 68 | 40 | 78 | 51 | 78 | 61 | 65 | 62 | 40 | 50 | 50 | 65 | 50 | 62 | 60 | 0 | 40 | 65 | 23 | 800,000$/2yrs | |||
Morgan Adams-Moisan | 0 | RW | 100.00 | 99 | 47 | 50 | 53 | 85 | 63 | 60 | 51 | 38 | 46 | 46 | 65 | 54 | 68 | 73 | 0 | 40 | 64 | 28 | 800,000$/2yrs | |||
Kyle Capobianco | 22 | D | 100.00 | 73 | 41 | 70 | 58 | 78 | 69 | 68 | 55 | 30 | 65 | 54 | 70 | 59 | 72 | 69 | 0 | 39 | 73 | 28 | 800,000$/1yrs | |||
Mattias Havelid (R) | 0 | D | 100.00 | 61 | 37 | 92 | 62 | 67 | 68 | 73 | 59 | 30 | 65 | 55 | 66 | 60 | 59 | 59 | 0 | 40 | 73 | 21 | 905,000$/3yrs | |||
Parker Wotherspoon | 27 | D | 100.00 | 76 | 40 | 85 | 55 | 75 | 86 | 80 | 55 | 30 | 61 | 52 | 69 | 54 | 71 | 69 | 0 | 43 | 72 | 28 | 800,000$/2yrs | |||
Jacob Bryson | 0 | D | 100.00 | 59 | 32 | 92 | 55 | 66 | 80 | 78 | 55 | 30 | 62 | 52 | 60 | 54 | 70 | 70 | 0 | 40 | 70 | 28 | 900,000$/1yrs | |||
Jonathan Aspirot | 48 | D | 100.00 | 76 | 41 | 65 | 53 | 79 | 66 | 67 | 51 | 30 | 59 | 53 | 68 | 56 | 68 | 65 | 0 | 27 | 69 | 26 | 800,000$/1yrs | |||
Dmitri Simashev (R) | 0 | D | 100.00 | 57 | 39 | 97 | 55 | 84 | 64 | 86 | 53 | 30 | 56 | 52 | 65 | 54 | 57 | 57 | 0 | 40 | 68 | 20 | 950,000$/3yrs | |||
Ty Nelson (R) | 0 | D | 100.00 | 68 | 39 | 77 | 52 | 74 | 64 | 66 | 51 | 30 | 58 | 53 | 63 | 55 | 59 | 57 | 0 | 40 | 67 | 21 | 867,500$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Alexander Chmelevski | 89 | C/RW | 100.00 | 70 | 39 | 74 | 68 | 71 | 66 | 60 | 66 | 65 | 62 | 59 | 61 | 68 | 63 | 61 | 0 | 20 | 72 | 26 | ||||
Linus Weissbach | 0 | LW | 100.00 | 69 | 39 | 76 | 57 | 65 | 67 | 87 | 63 | 35 | 57 | 59 | 66 | 58 | 66 | 64 | 0 | 20 | 70 | 27 | 1,000,000$/1yrs | |||
Mikhail Abramov (R) | 0 | C | 100.00 | 61 | 38 | 88 | 56 | 66 | 64 | 85 | 60 | 65 | 55 | 56 | 63 | 55 | 61 | 60 | 0 | 20 | 67 | 24 | 900,000$/1yrs | |||
Jasper Weatherby | 0 | C/LW | 100.00 | 68 | 41 | 77 | 51 | 90 | 62 | 89 | 63 | 75 | 51 | 52 | 67 | 51 | 66 | 64 | 0 | 20 | 67 | 27 | 800,000$/1yrs | |||
Dmitri Ovchinnikov (R) | 0 | C/LW/RW | 100.00 | 58 | 37 | 94 | 53 | 65 | 61 | 69 | 60 | 65 | 48 | 56 | 63 | 52 | 59 | 58 | 0 | 20 | 65 | 23 | 900,000$/1yrs | |||
Dillon Hamaliuk (R) | 58 | LW | 100.00 | 55 | 38 | 99 | 47 | 78 | 58 | 66 | 62 | 43 | 48 | 45 | 65 | 46 | 62 | 62 | 0 | 21 | 63 | 25 | 800,000$/2yrs | |||
Zachary Gallant | 0 | C | 100.00 | 69 | 37 | 62 | 58 | 78 | 72 | 60 | 57 | 62 | 48 | 45 | 55 | 54 | 63 | 65 | 0 | 31 | 63 | 26 | 800,000$/2yrs | |||
Maxime Lajoie | 58 | D | 100.00 | 71 | 40 | 73 | 54 | 72 | 66 | 85 | 52 | 30 | 60 | 51 | 68 | 56 | 68 | 65 | 0 | 20 | 70 | 28 | 1,000,000$/1yrs | |||
Artem Guryev (R) | 0 | D | 100.00 | 99 | 47 | 50 | 47 | 87 | 61 | 65 | 47 | 30 | 52 | 52 | 64 | 52 | 61 | 56 | 0 | 20 | 65 | 22 | 860,000$/1yrs | |||
Marek Alscher (R) | 0 | D | 100.00 | 69 | 40 | 77 | 48 | 80 | 61 | 65 | 47 | 30 | 53 | 51 | 63 | 52 | 59 | 57 | 0 | 23 | 65 | 26 | 865,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Calle Clang | 0 | 100.00 | 72 | 72 | 70 | 79 | 68 | 74 | 73 | 72 | 74 | 74 | 73 | 64 | 64 | 0 | 35 | 76 | 23 | 900,000$/2yrs |
Tyler Brennan | 0 | 100.00 | 68 | 50 | 65 | 77 | 60 | 71 | 67 | 68 | 71 | 72 | 68 | 58 | 63 | 0 | 45 | 71 | 22 | 870,000$/1yrs |
| Scratches | ||||||||||||||||||||
Joe Vrbetic | 0 | 100.00 | 68 | 68 | 65 | 80 | 57 | 70 | 67 | 68 | 70 | 70 | 68 | 60 | 67 | 0 | 30 | 72 | 23 | 800,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ken Hitchcock | 74 | 67 | 69 | 72 | 99 | 92 | 39 | CAN | 73 | 3 | 500,000$ |
| General Manager |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Mattias Havelid | D | 20 | 4 | 8 | 12 | -1 | 6 | 0 | 15 | 21 | 10 | 20 | 19.05% | 27 | 20.74 | 3 | 1 | 4 | 56 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
| 2 | Parker Wotherspoon | D | 20 | 4 | 7 | 11 | 4 | 29 | 5 | 63 | 23 | 12 | 12 | 17.39% | 29 | 20.84 | 0 | 0 | 0 | 13 | 0 | 0 | 0 | 46 | 2 | 1 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.53 | 0 | 0 | ||
| 3 | Jacob Bryson | D | 20 | 2 | 9 | 11 | -2 | 10 | 0 | 25 | 25 | 8 | 12 | 8.00% | 19 | 21.66 | 2 | 2 | 4 | 61 | 0 | 0 | 0 | 51 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
| 4 | Nathan Legare | RW | 20 | 6 | 5 | 11 | 3 | 28 | 10 | 65 | 52 | 18 | 44 | 11.54% | 8 | 14.89 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 32.00% | 25 | 0 | 0 | 0 | 0 | 0.74 | 0 | 2 | ||
| 5 | Matyas Sapovaliv | C | 20 | 2 | 9 | 11 | -10 | 2 | 0 | 13 | 45 | 7 | 35 | 4.44% | 1 | 15.84 | 1 | 6 | 7 | 58 | 0 | 0 | 0 | 1 | 0 | 0 | 45.78% | 391 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | ||
| 6 | Dmitri Simashev | D | 20 | 4 | 7 | 11 | -4 | 4 | 0 | 12 | 27 | 3 | 12 | 14.81% | 24 | 22.11 | 2 | 3 | 5 | 59 | 0 | 0 | 0 | 24 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | ||
| 7 | Alexei Toropchenko | RW | 20 | 3 | 6 | 9 | -10 | 8 | 0 | 46 | 55 | 11 | 37 | 5.45% | 3 | 15.68 | 1 | 5 | 6 | 53 | 0 | 0 | 0 | 0 | 2 | 0 | 50.00% | 22 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | ||
| 8 | Danila Klimovich | RW | 20 | 3 | 5 | 8 | 0 | 6 | 0 | 32 | 41 | 10 | 37 | 7.32% | 1 | 16.30 | 0 | 2 | 2 | 35 | 0 | 0 | 0 | 2 | 0 | 0 | 44.04% | 109 | 0 | 0 | 0 | 0 | 0.49 | 1 | 2 | ||
| 9 | Oskar Back | C | 20 | 4 | 4 | 8 | 5 | 0 | 0 | 0 | 30 | 13 | 40 | 13.33% | 6 | 17.77 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 45 | 1 | 0 | 52.37% | 443 | 0 | 0 | 1 | 0 | 0.45 | 0 | 2 | ||
| 10 | Filip Mesar | C/RW | 20 | 2 | 6 | 8 | 2 | 0 | 0 | 7 | 41 | 12 | 30 | 4.88% | 3 | 11.70 | 1 | 2 | 3 | 61 | 0 | 0 | 0 | 11 | 0 | 1 | 44.59% | 305 | 0 | 0 | 0 | 0 | 0.68 | 0 | 1 | ||
| 11 | Chase Bradley | LW | 20 | 2 | 5 | 7 | -1 | 8 | 0 | 23 | 40 | 12 | 44 | 5.00% | 3 | 16.81 | 0 | 3 | 3 | 37 | 0 | 0 | 0 | 13 | 0 | 0 | 42.50% | 40 | 0 | 0 | 0 | 0 | 0.42 | 0 | 1 | ||
| 12 | Kyle Capobianco | D | 19 | 2 | 4 | 6 | -6 | 14 | 0 | 53 | 14 | 6 | 9 | 14.29% | 26 | 17.20 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 32 | 0 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
| 13 | Ty Nelson | D | 20 | 2 | 3 | 5 | -5 | 12 | 0 | 29 | 15 | 5 | 16 | 13.33% | 18 | 18.12 | 2 | 1 | 3 | 54 | 0 | 0 | 0 | 42 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | ||
| 14 | Martin Misiak | LW/RW | 20 | 3 | 2 | 5 | -1 | 0 | 0 | 5 | 27 | 4 | 19 | 11.11% | 3 | 9.44 | 2 | 1 | 3 | 54 | 0 | 0 | 0 | 1 | 1 | 0 | 20.00% | 20 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
| 15 | Jakub Stancl | LW | 20 | 2 | 3 | 5 | -5 | 2 | 0 | 9 | 32 | 14 | 25 | 6.25% | 5 | 15.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0 | 0 | 56.25% | 32 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
| 16 | Lucas Ciona | LW | 20 | 2 | 1 | 3 | -2 | 21 | 5 | 40 | 46 | 15 | 33 | 4.35% | 3 | 15.71 | 0 | 0 | 0 | 32 | 0 | 0 | 0 | 2 | 0 | 0 | 33.33% | 30 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | ||
| 17 | Zachary Gallant | C | 14 | 0 | 2 | 2 | 0 | 4 | 0 | 10 | 15 | 5 | 8 | 0.00% | 1 | 17.18 | 0 | 0 | 0 | 3 | 0 | 1 | 1 | 37 | 0 | 0 | 53.07% | 309 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | ||
| 18 | Mark Duarte | RW | 20 | 1 | 1 | 2 | -2 | 0 | 0 | 14 | 31 | 7 | 15 | 3.23% | 3 | 11.77 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 46 | 0 | 0 | 34.78% | 23 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | ||
| 19 | Jonathan Aspirot | D | 6 | 0 | 0 | 0 | 1 | 2 | 0 | 2 | 0 | 0 | 0 | 0.00% | 0 | 2.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 20 | Morgan Adams-Moisan | RW | 20 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 0 | 2 | 0.00% | 0 | 1.22 | 0 | 0 | 0 | 24 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 21 | Marek Alscher | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 380 | 48 | 87 | 135 | -34 | 156 | 20 | 472 | 584 | 172 | 450 | 8.22% | 183 | 15.57 | 14 | 26 | 40 | 620 | 1 | 1 | 2 | 411 | 9 | 5 | 47.69% | 1755 | 0 | 0 | 2 | 0 | 0.46 | 1 | 8 |
| 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 | Tyler Brennan | 10 | 5 | 2 | 1 | 0.931 | 2.22 | 514 | 2 | 1 | 19 | 277 | 0 | 1 | 0 | 0.800 | 5 | 8 | 12 | 2 | 1 | 0 | |
| 2 | Calle Clang | 12 | 4 | 6 | 2 | 0.904 | 2.93 | 696 | 0 | 0 | 34 | 356 | 0 | 0 | 0 | 0.333 | 3 | 12 | 8 | 1 | 0 | 1 | |
| Team Total or Average | 22 | 9 | 8 | 3 | 0.916 | 2.63 | 1210 | 2 | 1 | 53 | 633 | 0 | 1 | 0 | 0.625 | 8 | 20 | 20 | 3 | 1 | 1 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alexander Chmelevski | C/RW | 26 | 0$ | ||||||||
| Alexei Toropchenko | RW | 26 | 1,700,000$ | 1,700,000$ | |||||||
| Artem Guryev | D | 22 | 860,000$ | 860,000$ | RFA | ||||||
| Calle Clang | G | 23 | 900,000$ | 900,000$ | 900,000$ | ||||||
| Chase Bradley | LW | 23 | 900,000$ | 900,000$ | 900,000$ | ||||||
| Danila Klimovich | RW | 22 | 833,333$ | 833,333$ | RFA | ||||||
| Dillon Hamaliuk | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Dmitri Ovchinnikov | C/LW/RW | 23 | 900,000$ | 900,000$ | RFA | ||||||
| Dmitri Simashev | D | 20 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
| Filip Mesar | C/RW | 21 | 918,333$ | 918,333$ | RFA | ||||||
| Jacob Bryson | D | 28 | 900,000$ | 900,000$ | UFA | ||||||
| Jakub Stancl | LW | 20 | 835,778$ | 835,778$ | 835,778$ | 835,778$ | RFA | ||||
| Jasper Weatherby | C/LW | 27 | 800,000$ | 800,000$ | UFA | ||||||
| Joe Vrbetic | G | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Jonathan Aspirot | D | 26 | 800,000$ | 800,000$ | |||||||
| Kyle Capobianco | D | 28 | 800,000$ | 800,000$ | UFA | ||||||
| Linus Weissbach | LW | 27 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Lucas Ciona | LW | 22 | 830,000$ | 830,000$ | RFA | ||||||
| Marek Alscher | D | 26 | 865,000$ | 865,000$ | 865,000$ | UFA | |||||
| Mark Duarte | RW | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Martin Misiak | LW/RW | 21 | 878,333$ | 878,333$ | 878,333$ | 878,333$ | RFA | ||||
| Mattias Havelid | D | 21 | 905,000$ | 905,000$ | 905,000$ | 905,000$ | RFA | ||||
| Matyas Sapovaliv | C | 21 | 803,334$ | 803,334$ | 803,334$ | RFA | |||||
| Maxime Lajoie | D | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Mikhail Abramov | C | 24 | 900,000$ | 900,000$ | |||||||
| Morgan Adams-Moisan | RW | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Nathan Legare | RW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Oskar Back | C | 25 | 825,000$ | 825,000$ | 825,000$ | ||||||
| Parker Wotherspoon | D | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Ty Nelson | D | 21 | 867,500$ | 867,500$ | RFA | ||||||
| Tyler Brennan | G | 22 | 870,000$ | 870,000$ | RFA | ||||||
| Zachary Gallant | C | 26 | 800,000$ | 800,000$ | 800,000$ | 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 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 14 | 14 | 20 | 1 | 55 | 181 | 211 | 187 | 13 | 59 | 18 | 12 | 49 | 7 | 2 | 28.57% | 6 | 3 | 50.00% | 0 | 338 | 717 | 47.14% | 359 | 732 | 49.04% | 140 | 290 | 48.28% | 483 | 321 | 455 | 156 | 272 | 139 | 25.0% | 5.5% | 89.8% | 95.3 | Unlucky | |
| 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 14 | 14 | 20 | 1 | 27 | 181 | 211 | 187 | 13 | 29 | 9 | 6 | 23 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 338 | 717 | 47.14% | 359 | 732 | 49.04% | 140 | 290 | 48.28% | 483 | 321 | 455 | 156 | 272 | 139 | 42.9% | 11.1% | 86.2% | 97.3 | FUN | |
| 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 14 | 14 | 20 | 1 | 45 | 181 | 211 | 187 | 13 | 69 | 24 | 14 | 47 | 9 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 338 | 717 | 47.14% | 359 | 732 | 49.04% | 140 | 290 | 48.28% | 483 | 321 | 455 | 156 | 272 | 139 | 42.9% | 6.7% | 92.8% | 99.4 | DULL | |
| 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 14 | 14 | 20 | 1 | 25 | 181 | 211 | 187 | 13 | 42 | 16 | 6 | 19 | 4 | 2 | 50.00% | 3 | 0 | 100.00% | 0 | 338 | 717 | 47.14% | 359 | 732 | 49.04% | 140 | 290 | 48.28% | 483 | 321 | 455 | 156 | 272 | 139 | 60.0% | 20.0% | 95.2% | 115.2 | LUCKY | |
| 5 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 14 | 14 | 20 | 1 | 27 | 181 | 211 | 187 | 13 | 37 | 14 | 6 | 25 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 1 | 338 | 717 | 47.14% | 359 | 732 | 49.04% | 140 | 290 | 48.28% | 483 | 321 | 455 | 156 | 272 | 139 | 40.0% | 11.1% | 89.2% | 100.3 | FUN | |
| 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 14 | 14 | 20 | 1 | 38 | 181 | 211 | 187 | 13 | 39 | 6 | 2 | 27 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 338 | 717 | 47.14% | 359 | 732 | 49.04% | 140 | 290 | 48.28% | 483 | 321 | 455 | 156 | 272 | 139 | 33.3% | 5.3% | 89.7% | 95.0 | Unlucky | |
| 7 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 1 | 3 | 0.750 | 4 | 8 | 12 | 0 | 0 | 14 | 14 | 20 | 1 | 60 | 181 | 211 | 187 | 13 | 50 | 19 | 19 | 47 | 5 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 338 | 717 | 47.14% | 359 | 732 | 49.04% | 140 | 290 | 48.28% | 483 | 321 | 455 | 156 | 272 | 139 | 57.1% | 6.7% | 94.0% | 100.7 | DULL | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 14 | 14 | 20 | 1 | 35 | 181 | 211 | 187 | 13 | 41 | 15 | 6 | 24 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 338 | 717 | 47.14% | 359 | 732 | 49.04% | 140 | 290 | 48.28% | 483 | 321 | 455 | 156 | 272 | 139 | 66.7% | 5.7% | 97.6% | 103.3 | DULL | |
| 9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 14 | 14 | 20 | 1 | 20 | 181 | 211 | 187 | 13 | 20 | 4 | 4 | 20 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 338 | 717 | 47.14% | 359 | 732 | 49.04% | 140 | 290 | 48.28% | 483 | 321 | 455 | 156 | 272 | 139 | 20.0% | 5.0% | 80.0% | 85.0 | Unlucky | |
| 10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | -9 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 14 | 14 | 20 | 1 | 46 | 181 | 211 | 187 | 13 | 64 | 17 | 22 | 50 | 8 | 0 | 0.00% | 10 | 3 | 70.00% | 0 | 338 | 717 | 47.14% | 359 | 732 | 49.04% | 140 | 290 | 48.28% | 483 | 321 | 455 | 156 | 272 | 139 | 0.0% | 0.0% | 85.9% | 85.9 | Unlucky | |
| 11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 1.000 | 3 | 6 | 9 | 0 | 1 | 14 | 14 | 20 | 1 | 34 | 181 | 211 | 187 | 13 | 28 | 11 | 5 | 19 | 4 | 1 | 25.00% | 0 | 0 | 0.00% | 0 | 338 | 717 | 47.14% | 359 | 732 | 49.04% | 140 | 290 | 48.28% | 483 | 321 | 455 | 156 | 272 | 139 | 100.0% | 8.8% | 100.0% | 108.8 | DULL | |
| 12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 14 | 14 | 20 | 1 | 27 | 181 | 211 | 187 | 13 | 19 | 1 | 9 | 23 | 6 | 2 | 33.33% | 2 | 0 | 100.00% | 0 | 338 | 717 | 47.14% | 359 | 732 | 49.04% | 140 | 290 | 48.28% | 483 | 321 | 455 | 156 | 272 | 139 | 50.0% | 11.1% | 94.7% | 105.8 | LUCKY | |
| 13 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 14 | 14 | 20 | 1 | 40 | 181 | 211 | 187 | 13 | 30 | 7 | 17 | 23 | 6 | 2 | 33.33% | 6 | 2 | 66.67% | 0 | 338 | 717 | 47.14% | 359 | 732 | 49.04% | 140 | 290 | 48.28% | 483 | 321 | 455 | 156 | 272 | 139 | 100.0% | 10.0% | 93.3% | 103.3 | LUCKY | |
| 14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 14 | 14 | 20 | 1 | 34 | 181 | 211 | 187 | 13 | 51 | 9 | 16 | 25 | 3 | 1 | 33.33% | 6 | 2 | 66.67% | 0 | 338 | 717 | 47.14% | 359 | 732 | 49.04% | 140 | 290 | 48.28% | 483 | 321 | 455 | 156 | 272 | 139 | 40.0% | 8.8% | 90.2% | 99.0 | Unlucky | |
| 15 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 14 | 14 | 20 | 1 | 71 | 181 | 211 | 187 | 13 | 55 | 13 | 14 | 51 | 8 | 3 | 37.50% | 6 | 0 | 100.00% | 0 | 338 | 717 | 47.14% | 359 | 732 | 49.04% | 140 | 290 | 48.28% | 483 | 321 | 455 | 156 | 272 | 139 | 54.5% | 12.7% | 90.9% | 103.6 | FUN | |
| _Vs Division | 5 | 4 | 6 | 0 | 0 | 0 | 0 | 1 | 15 | 12 | 3 | 9 | 0.900 | 15 | 27 | 42 | 0 | 0 | 14 | 14 | 20 | 1 | 153 | 181 | 211 | 187 | 13 | 133 | 32 | 35 | 123 | 21 | 7 | 33.33% | 14 | 3 | 78.57% | 0 | 338 | 717 | 47.14% | 359 | 732 | 49.04% | 140 | 290 | 48.28% | 483 | 321 | 455 | 156 | 272 | 139 | 47.1% | 9.8% | 91.0% | 100.8 | FUN | |
| _Vs Conference | 15 | 7 | 7 | 0 | 0 | 0 | 0 | 1 | 34 | 40 | -6 | 15 | 0.500 | 34 | 63 | 97 | 0 | 1 | 14 | 14 | 20 | 1 | 417 | 181 | 211 | 187 | 13 | 457 | 132 | 121 | 350 | 56 | 11 | 19.64% | 46 | 9 | 80.43% | 0 | 338 | 717 | 47.14% | 359 | 732 | 49.04% | 140 | 290 | 48.28% | 483 | 321 | 455 | 156 | 272 | 139 | 42.6% | 8.2% | 91.2% | 99.4 | DULL | |
| _Since Last GM Reset | 20 | 9 | 8 | 0 | 0 | 1 | 0 | 2 | 48 | 55 | -7 | 21 | 0.525 | 48 | 87 | 135 | 0 | 1 | 14 | 14 | 20 | 1 | 584 | 181 | 211 | 187 | 13 | 633 | 183 | 158 | 472 | 74 | 14 | 18.92% | 61 | 12 | 80.33% | 1 | 338 | 717 | 47.14% | 359 | 732 | 49.04% | 140 | 290 | 48.28% | 483 | 321 | 455 | 156 | 272 | 139 | 44.2% | 8.2% | 91.3% | 99.5 | DULL | |
| Total | 20 | 9 | 8 | 0 | 0 | 1 | 0 | 2 | 48 | 55 | -7 | 21 | 0.525 | 48 | 87 | 135 | 0 | 1 | 14 | 14 | 20 | 1 | 584 | 181 | 211 | 187 | 13 | 633 | 183 | 158 | 472 | 74 | 14 | 18.92% | 61 | 12 | 80.33% | 1 | 338 | 717 | 47.14% | 359 | 732 | 49.04% | 140 | 290 | 48.28% | 483 | 321 | 455 | 156 | 272 | 139 | 44.2% | 8.2% | 91.3% | 99.5 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 13 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 717 |
| Neutral Zone Start | 290 |
| Defensive Zone Start | 732 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 837 |
| Faceoffs Lost | 902 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.1 | 9.57 |
| 2nd Period | 19.6 | 20.31 |
| 3rd Period | 29.0 | 30.68 |
| Overtime | 29.6 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.7 | 0.64 |
| 2nd Period | 1.4 | 1.65 |
| 3rd Period | 2.4 | 2.67 |
| Overtime | 2.5 | 2.83 |
| Even Strenght Goal | 33 |
|---|---|
| PP Goal | 14 |
| PK Goal | 1 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 6 | 3 |
| Lost | 4 | 4 |
| Overtime Lost | 1 | 2 |
| PP Attempt | 74 |
|---|---|
| PP Goal | 14 |
| PK Attempt | 61 |
| PK Goal Against | 12 |
| Home | |
|---|---|
| Shots For | 29.2 |
| Shots Against | 31.7 |
| Goals For | 2.4 |
| Goals Against | 2.8 |
| Hits | 23.6 |
| Shots Blocked | 9.2 |
| Pim | 7.9 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-10 | @ | Griffins1,Senators3 | RECAP | |||||||||||
| 2025-10-13 | @ | Americans5,Senators0 | RECAP | |||||||||||
| 2025-10-16 | @ | Senators0,Griffins4 | RECAP | |||||||||||
| 2025-10-17 | @ | Senators3,Marlies5 | RECAP | |||||||||||
| 2025-10-18 | @ | Senators3,Monsters1 | RECAP | |||||||||||
| 2025-10-20 | @ | Crunch2,Senators1 (SO) | RECAP | |||||||||||
| 2025-10-23 | @ | Comets3,Senators2 | RECAP | |||||||||||
| 2025-10-25 | @ | Senators1,Comets3 | RECAP | |||||||||||
| 2025-10-27 | @ | Rocket2,Senators5 | RECAP | |||||||||||
| 2025-10-29 | @ | Senators3,Canucks4 (OT) | RECAP | |||||||||||
| 2025-10-30 | @ | Checkers0,Senators3 | RECAP | |||||||||||
| 2025-11-01 | @ | Senators0,Americans4 | RECAP | |||||||||||
| 2025-11-04 | @ | Crunch1,Senators3 | RECAP | |||||||||||
| 2025-11-10 | @ | Gulls2,Senators4 | RECAP | |||||||||||
| 2025-11-13 | @ | Senators4,Penguins2 | RECAP | |||||||||||
| 2025-11-15 | @ | Penguins3,Senators5 | RECAP | |||||||||||
| 2025-11-17 | @ | Senators3,Eagles4 (SO) | RECAP | |||||||||||
| 2025-11-19 | @ | Reign4,Senators2 | RECAP | |||||||||||
| 2025-11-22 | @ | Senators2,Condors1 | RECAP | |||||||||||
| 2025-11-24 | @ | Thunderbirds4,Senators1 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,204,160$ | 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 |
| 25 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,204,160$ | 2,204,160$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 759,988$ | 12,245$ | 618,310$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 141 | 15,023$ | 1,937,967$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,937,967$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
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| Defense #1 | Defense #2 | Goalie |
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