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Full Scoreboard »» |
| Belleville Senators 28-26-7, 63pts · 11th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Tristen Nielsen | 0 | C | 100.00 | 72 | 40 | 72 | 59 | 72 | 66 | 87 | 61 | 66 | 57 | 60 | 64 | 58 | 63 | 60 | 0 | 46 | 70 | 26 | 800,000$/2yrs | |||
Nathan Legare | 0 | RW | 100.00 | 86 | 43 | 50 | 56 | 79 | 64 | 87 | 60 | 40 | 53 | 57 | 63 | 55 | 61 | 56 | 0 | 48 | 68 | 25 | 800,000$/2yrs | |||
Zachary Gallant | 0 | C | 100.00 | 79 | 41 | 60 | 55 | 76 | 64 | 71 | 62 | 70 | 55 | 54 | 65 | 55 | 64 | 60 | 0 | 19 | 68 | 26 | 800,000$/2yrs | |||
Danila Klimovich | 0 | RW | 100.00 | 73 | 41 | 69 | 59 | 81 | 65 | 87 | 58 | 61 | 55 | 60 | 61 | 58 | 57 | 54 | 0 | 47 | 68 | 23 | 833,333$/1yrs | |||
Sam O'Reilly (R) | 0 | C/RW | 99.00 | 68 | 39 | 78 | 60 | 75 | 65 | 88 | 55 | 44 | 58 | 58 | 63 | 58 | 56 | 53 | 0 | 44 | 68 | 19 | 931,945$/3yrs | |||
Alexei Toropchenko | 32 | RW | 99.00 | 71 | 42 | 73 | 52 | 92 | 62 | 66 | 62 | 35 | 53 | 51 | 66 | 52 | 64 | 62 | 0 | 44 | 67 | 26 | 1,700,000$/1yrs | |||
Oskar Back | 0 | C | 100.00 | 58 | 39 | 94 | 55 | 81 | 63 | 87 | 61 | 63 | 58 | 50 | 65 | 54 | 63 | 62 | 0 | 47 | 67 | 25 | 825,000$/2yrs | |||
Filip Mesar (R) | 0 | C/RW | 99.00 | 62 | 38 | 87 | 58 | 70 | 63 | 82 | 57 | 67 | 59 | 53 | 60 | 56 | 56 | 54 | 0 | 47 | 67 | 22 | 918,333$/1yrs | |||
Lucas Ciona (R) | 0 | LW | 100.00 | 80 | 43 | 58 | 56 | 89 | 62 | 87 | 58 | 35 | 55 | 54 | 61 | 54 | 57 | 53 | 0 | 44 | 67 | 23 | 830,000$/1yrs | |||
Chase Bradley (R) | 0 | LW | 100.00 | 71 | 39 | 72 | 56 | 70 | 63 | 83 | 59 | 37 | 53 | 57 | 62 | 55 | 59 | 56 | 0 | 47 | 67 | 24 | 900,000$/2yrs | |||
Mark Duarte | 0 | RW | 100.00 | 59 | 38 | 92 | 56 | 78 | 63 | 70 | 59 | 44 | 54 | 55 | 62 | 55 | 59 | 58 | 0 | 33 | 67 | 23 | 800,000$/2yrs | |||
Matyas Sapovaliv (R) | 0 | C | 100.00 | 60 | 39 | 92 | 57 | 83 | 62 | 89 | 57 | 59 | 54 | 55 | 60 | 54 | 56 | 55 | 0 | 47 | 66 | 22 | 803,334$/2yrs | |||
Jakub Stancl (R) | 0 | LW | 100.00 | 58 | 38 | 94 | 58 | 80 | 62 | 71 | 56 | 37 | 53 | 57 | 59 | 55 | 54 | 53 | 0 | 47 | 66 | 20 | 835,778$/3yrs | |||
Kyle Capobianco | 22 | D | 99.00 | 59 | 33 | 83 | 55 | 80 | 75 | 69 | 53 | 30 | 61 | 57 | 57 | 55 | 72 | 70 | 0 | 45 | 70 | 28 | 800,000$/1yrs | |||
Jacob Bryson | 0 | D | 99.00 | 58 | 32 | 92 | 55 | 66 | 77 | 80 | 52 | 30 | 60 | 53 | 57 | 52 | 71 | 71 | 0 | 47 | 69 | 28 | 900,000$/1yrs | |||
Ty Nelson (R) | 0 | D | 100.00 | 67 | 39 | 78 | 54 | 74 | 64 | 88 | 52 | 30 | 60 | 53 | 61 | 57 | 56 | 53 | 0 | 47 | 68 | 21 | 867,500$/1yrs | |||
Jonathan Aspirot | 48 | D | 100.00 | 76 | 33 | 83 | 55 | 77 | 81 | 69 | 50 | 30 | 50 | 57 | 66 | 53 | 69 | 67 | 0 | 33 | 68 | 26 | 800,000$/1yrs | |||
Mattias Havelid (R) | 0 | D | 99.00 | 68 | 39 | 77 | 54 | 67 | 63 | 69 | 51 | 30 | 59 | 52 | 61 | 56 | 56 | 53 | 0 | 50 | 67 | 22 | 905,000$/3yrs | |||
Marek Alscher (R) | 0 | D | 100.00 | 69 | 40 | 75 | 50 | 80 | 62 | 83 | 49 | 30 | 55 | 52 | 61 | 54 | 55 | 53 | 0 | 19 | 65 | 26 | 865,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Alexander Chmelevski | 89 | C/RW | 100.00 | 70 | 39 | 74 | 68 | 71 | 66 | 60 | 66 | 65 | 62 | 59 | 61 | 68 | 63 | 61 | 0 | 20 | 72 | 26 | ||||
Linus Weissbach | 0 | LW | 100.00 | 69 | 39 | 76 | 57 | 65 | 67 | 87 | 63 | 35 | 57 | 59 | 66 | 58 | 66 | 64 | 0 | 20 | 70 | 27 | 1,000,000$/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$/1yrs | |||
Jasper Weatherby | 0 | C/LW | 100.00 | 68 | 41 | 77 | 51 | 90 | 62 | 89 | 63 | 75 | 51 | 52 | 67 | 51 | 66 | 64 | 0 | 20 | 67 | 28 | 800,000$/1yrs | |||
Jackson Kunz (R) | 0 | LW | 100.00 | 55 | 39 | 99 | 54 | 90 | 61 | 69 | 60 | 48 | 55 | 50 | 63 | 52 | 59 | 59 | 0 | 20 | 66 | 23 | ||||
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$/1yrs | |||
Martin Misiak (R) | 0 | LW/RW | 100.00 | 65 | 40 | 83 | 54 | 80 | 60 | 70 | 58 | 43 | 51 | 52 | 61 | 51 | 55 | 54 | 0 | 44 | 65 | 21 | 878,333$/3yrs | |||
Morgan Adams-Moisan | 0 | RW | 100.00 | 99 | 47 | 50 | 53 | 85 | 63 | 60 | 51 | 38 | 46 | 46 | 65 | 54 | 68 | 73 | 0 | 19 | 64 | 28 | 800,000$/2yrs | |||
Dillon Hamaliuk (R) | 58 | LW | 100.00 | 55 | 38 | 99 | 47 | 78 | 58 | 66 | 62 | 43 | 48 | 45 | 65 | 46 | 62 | 62 | 0 | 20 | 63 | 25 | 800,000$/2yrs | |||
Maxime Lajoie | 58 | D | 100.00 | 64 | 39 | 84 | 57 | 72 | 67 | 82 | 54 | 30 | 64 | 52 | 68 | 58 | 68 | 66 | 0 | 20 | 72 | 28 | 1,000,000$/1yrs | |||
Ethan Edwards (R) | 0 | D | 100.00 | 74 | 40 | 68 | 52 | 76 | 63 | 74 | 50 | 30 | 57 | 52 | 63 | 55 | 59 | 56 | 0 | 20 | 67 | 23 | ||||
Artem Guryev (R) | 0 | D | 100.00 | 99 | 47 | 50 | 47 | 87 | 61 | 65 | 47 | 30 | 52 | 52 | 64 | 52 | 61 | 56 | 0 | 21 | 65 | 22 | 860,000$/1yrs | |||
Dmitri Simashev (R) | 0 | D | 100.00 | 58 | 33 | 74 | 55 | 81 | 80 | 70 | 50 | 30 | 54 | 50 | 53 | 50 | 59 | 56 | 0 | 45 | 65 | 21 | 950,000$/3yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Calle Clang | 0 | 100.00 | 70 | 71 | 68 | 78 | 67 | 75 | 69 | 70 | 75 | 76 | 72 | 60 | 60 | 0 | 46 | 75 | 23 | 900,000$/2yrs |
Tyler Brennan | 0 | 97.00 | 68 | 50 | 65 | 77 | 60 | 71 | 67 | 68 | 71 | 72 | 68 | 58 | 63 | 0 | 61 | 71 | 22 | 870,000$/1yrs |
| Scratches | ||||||||||||||||||||
Joe Vrbetic | 0 | 100.00 | 68 | 68 | 65 | 80 | 57 | 70 | 67 | 68 | 70 | 70 | 68 | 60 | 67 | 0 | 20 | 72 | 23 | 800,000$/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 | Oskar Back | C | 61 | 13 | 20 | 33 | 4 | 0 | 0 | 13 | 124 | 44 | 104 | 10.48% | 19 | 18.09 | 0 | 0 | 0 | 6 | 1 | 0 | 1 | 172 | 1 | 0 | 51.78% | 1379 | 0 | 0 | 1 | 0 | 0.60 | 1 | 5 | ||
| 2 | Matyas Sapovaliv | C | 61 | 8 | 20 | 28 | -13 | 4 | 0 | 32 | 128 | 27 | 100 | 6.25% | 5 | 15.46 | 3 | 10 | 13 | 169 | 0 | 0 | 0 | 3 | 1 | 1 | 45.45% | 1188 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | ||
| 3 | Mattias Havelid | D | 61 | 12 | 16 | 28 | -4 | 21 | 5 | 65 | 81 | 28 | 45 | 14.81% | 65 | 20.08 | 5 | 3 | 8 | 156 | 0 | 0 | 0 | 14 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
| 4 | Jacob Bryson | D | 61 | 8 | 18 | 26 | -1 | 22 | 0 | 52 | 72 | 22 | 40 | 11.11% | 55 | 21.35 | 6 | 4 | 10 | 180 | 0 | 0 | 0 | 171 | 1 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
| 5 | Alexei Toropchenko | RW | 61 | 11 | 14 | 25 | -15 | 34 | 0 | 115 | 151 | 28 | 103 | 7.28% | 11 | 16.11 | 2 | 8 | 10 | 166 | 0 | 0 | 0 | 0 | 4 | 0 | 44.29% | 70 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
| 6 | Danila Klimovich | RW | 61 | 11 | 14 | 25 | 7 | 24 | 0 | 113 | 143 | 27 | 100 | 7.69% | 5 | 16.08 | 0 | 2 | 2 | 35 | 0 | 0 | 0 | 2 | 2 | 1 | 46.55% | 550 | 0 | 0 | 0 | 0 | 0.51 | 3 | 5 | ||
| 7 | Chase Bradley | LW | 61 | 8 | 17 | 25 | -4 | 20 | 0 | 98 | 132 | 33 | 112 | 6.06% | 12 | 16.57 | 1 | 5 | 6 | 56 | 0 | 0 | 0 | 131 | 1 | 0 | 37.06% | 286 | 0 | 0 | 0 | 0 | 0.49 | 0 | 2 | ||
| 8 | Filip Mesar | C/RW | 61 | 6 | 16 | 22 | 1 | 2 | 0 | 14 | 114 | 39 | 78 | 5.26% | 5 | 12.19 | 4 | 5 | 9 | 171 | 0 | 0 | 0 | 20 | 1 | 2 | 46.75% | 924 | 0 | 0 | 0 | 0 | 0.59 | 0 | 2 | ||
| 9 | Jakub Stancl | LW | 61 | 9 | 12 | 21 | -3 | 10 | 0 | 30 | 108 | 31 | 75 | 8.33% | 13 | 17.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 164 | 2 | 0 | 44.68% | 94 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | ||
| 10 | Kyle Capobianco | D | 60 | 4 | 16 | 20 | -7 | 54 | 0 | 138 | 46 | 14 | 31 | 8.70% | 77 | 17.96 | 0 | 2 | 2 | 23 | 0 | 0 | 0 | 66 | 0 | 2 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
| 11 | Nathan Legare | RW | 61 | 10 | 10 | 20 | -7 | 46 | 10 | 140 | 116 | 46 | 90 | 8.62% | 18 | 12.53 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 2 | 0 | 40.82% | 49 | 0 | 0 | 0 | 0 | 0.52 | 0 | 5 | ||
| 12 | Lucas Ciona | LW | 61 | 9 | 11 | 20 | 3 | 59 | 5 | 153 | 150 | 34 | 91 | 6.00% | 10 | 15.47 | 1 | 1 | 2 | 104 | 0 | 0 | 0 | 7 | 3 | 1 | 37.78% | 90 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | ||
| 13 | Dmitri Simashev | D | 57 | 8 | 11 | 19 | -3 | 22 | 0 | 71 | 57 | 9 | 37 | 14.04% | 70 | 21.91 | 2 | 3 | 5 | 123 | 0 | 0 | 0 | 133 | 2 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | ||
| 14 | Ty Nelson | D | 61 | 4 | 10 | 14 | 1 | 50 | 0 | 82 | 43 | 19 | 46 | 9.30% | 67 | 18.71 | 2 | 3 | 5 | 153 | 0 | 0 | 0 | 148 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.25 | 0 | 0 | ||
| 15 | Sam O'Reilly | C/RW | 24 | 5 | 9 | 14 | 7 | 12 | 0 | 68 | 64 | 26 | 44 | 7.81% | 4 | 16.88 | 0 | 5 | 5 | 66 | 0 | 0 | 0 | 12 | 0 | 0 | 31.11% | 45 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | ||
| 16 | Martin Misiak | LW/RW | 57 | 6 | 6 | 12 | -3 | 4 | 0 | 14 | 70 | 18 | 45 | 8.57% | 7 | 9.67 | 4 | 3 | 7 | 157 | 0 | 0 | 0 | 1 | 1 | 0 | 26.92% | 52 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
| 17 | Mark Duarte | RW | 50 | 2 | 8 | 10 | 6 | 0 | 0 | 22 | 75 | 14 | 63 | 2.67% | 7 | 12.87 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 116 | 0 | 0 | 40.00% | 55 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
| 18 | Tristen Nielsen | C | 15 | 3 | 3 | 6 | 0 | 2 | 0 | 13 | 33 | 8 | 22 | 9.09% | 6 | 14.35 | 0 | 1 | 1 | 38 | 0 | 0 | 0 | 52 | 1 | 0 | 52.60% | 173 | 0 | 0 | 0 | 1 | 0.56 | 0 | 1 | ||
| 19 | Artem Guryev | D | 10 | 1 | 2 | 3 | 3 | 26 | 0 | 45 | 7 | 3 | 6 | 14.29% | 7 | 13.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
| 20 | Jonathan Aspirot | D | 47 | 0 | 2 | 2 | -1 | 2 | 0 | 13 | 9 | 1 | 3 | 0.00% | 14 | 3.23 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 60 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
| 21 | Zachary Gallant | C | 18 | 0 | 2 | 2 | 0 | 4 | 0 | 10 | 15 | 5 | 8 | 0.00% | 1 | 13.41 | 0 | 0 | 0 | 4 | 0 | 1 | 1 | 37 | 0 | 0 | 53.23% | 310 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | ||
| 22 | Marek Alscher | D | 5 | 1 | 1 | 2 | 2 | 4 | 0 | 4 | 1 | 1 | 1 | 100.00% | 2 | 11.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | ||
| 23 | Morgan Adams-Moisan | RW | 37 | 0 | 1 | 1 | 0 | 0 | 0 | 18 | 10 | 3 | 4 | 0.00% | 0 | 1.86 | 0 | 1 | 1 | 68 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 7 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
| Team Total or Average | 1112 | 139 | 239 | 378 | -27 | 422 | 20 | 1323 | 1749 | 480 | 1248 | 7.95% | 480 | 15.28 | 30 | 56 | 86 | 1694 | 2 | 1 | 3 | 1323 | 24 | 9 | 47.10% | 5274 | 0 | 0 | 1 | 1 | 0.44 | 4 | 20 |
| 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 | Calle Clang | 36 | 17 | 16 | 3 | 0.916 | 2.59 | 2129 | 0 | 4 | 92 | 1098 | 0 | 0 | 0 | 0.500 | 6 | 36 | 25 | 6 | 1 | 1 | |
| 2 | Tyler Brennan | 28 | 11 | 10 | 4 | 0.924 | 2.42 | 1563 | 4 | 2 | 63 | 826 | 0 | 2 | 3 | 0.714 | 14 | 25 | 36 | 4 | 3 | 1 | |
| Team Total or Average | 64 | 28 | 26 | 7 | 0.919 | 2.52 | 3692 | 4 | 6 | 155 | 1924 | 0 | 2 | 3 | 0.650 | 20 | 61 | 61 | 10 | 4 | 2 |
| 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 | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
| Danila Klimovich | RW | 23 | 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 | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
| Ethan Edwards | D | 23 | 0$ | RFA | |||||||
| Filip Mesar | C/RW | 22 | 918,333$ | 918,333$ | RFA | ||||||
| Jackson Kunz | LW | 23 | 0$ | 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 | 28 | 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 | 23 | 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 | 22 | 905,000$ | 905,000$ | 905,000$ | 905,000$ | |||||
| Matyas Sapovaliv | C | 22 | 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 | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Oskar Back | C | 25 | 825,000$ | 825,000$ | 825,000$ | ||||||
| Sam O'Reilly | C/RW | 19 | 931,945$ | 931,945$ | 931,945$ | 931,945$ | RFA | ||||
| Tristen Nielsen | C | 26 | 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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 51 | 39 | 52 | 7 | 35 | 586 | 593 | 630 | 33 | 26 | 8 | 4 | 35 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 60.0% | 11.4% | 92.3% | 103.7 | LUCKY | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 51 | 39 | 52 | 7 | 22 | 586 | 593 | 630 | 33 | 33 | 14 | 4 | 19 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 33.3% | 9.1% | 87.9% | 97.0 | FUN | |
| 3 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 10 | 3 | 6 | 0.600 | 13 | 23 | 36 | 0 | 0 | 51 | 39 | 52 | 7 | 158 | 586 | 593 | 630 | 33 | 149 | 34 | 32 | 124 | 20 | 5 | 25.00% | 14 | 4 | 71.43% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 57.1% | 8.2% | 93.3% | 101.5 | DULL | |
| 4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 7 | -3 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 51 | 39 | 52 | 7 | 59 | 586 | 593 | 630 | 33 | 82 | 21 | 24 | 29 | 6 | 0 | 0.00% | 12 | 3 | 75.00% | 1 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 50.0% | 6.8% | 91.5% | 98.2 | DULL | |
| 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 51 | 39 | 52 | 7 | 44 | 586 | 593 | 630 | 33 | 22 | 9 | 6 | 27 | 5 | 2 | 40.00% | 3 | 1 | 66.67% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | nan% | 4.5% | 95.5% | 100.0 | DULL | |
| 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 51 | 39 | 52 | 7 | 27 | 586 | 593 | 630 | 33 | 29 | 9 | 6 | 23 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 42.9% | 11.1% | 86.2% | 97.3 | FUN | |
| 7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 51 | 39 | 52 | 7 | 36 | 586 | 593 | 630 | 33 | 23 | 5 | 12 | 19 | 4 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 25.0% | 2.8% | 87.0% | 89.7 | Unlucky | |
| 8 | 6 | 1 | 2 | 0 | 1 | 1 | 0 | 1 | 9 | 14 | -5 | 6 | 0.500 | 9 | 15 | 24 | 0 | 0 | 51 | 39 | 52 | 7 | 177 | 586 | 593 | 630 | 33 | 211 | 63 | 48 | 153 | 22 | 1 | 4.55% | 24 | 4 | 83.33% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 44.4% | 5.1% | 93.4% | 98.4 | DULL | |
| 9 | 5 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 10 | 16 | -6 | 3 | 0.300 | 10 | 19 | 29 | 2 | 0 | 51 | 39 | 52 | 7 | 142 | 586 | 593 | 630 | 33 | 173 | 48 | 36 | 93 | 20 | 5 | 25.00% | 17 | 3 | 82.35% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 27.8% | 7.0% | 90.8% | 97.8 | Unlucky | |
| 10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 51 | 39 | 52 | 7 | 56 | 586 | 593 | 630 | 33 | 54 | 21 | 24 | 48 | 5 | 2 | 40.00% | 11 | 2 | 81.82% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 42.9% | 8.9% | 88.9% | 97.8 | Unlucky | |
| 11 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 51 | 39 | 52 | 7 | 26 | 586 | 593 | 630 | 33 | 27 | 5 | 4 | 24 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 71.4% | 19.2% | 92.6% | 111.8 | LUCKY | |
| 12 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 4 | 7 | 0 | 0 | 51 | 39 | 52 | 7 | 27 | 586 | 593 | 630 | 33 | 37 | 14 | 6 | 25 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 1 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 40.0% | 11.1% | 89.2% | 100.3 | FUN | |
| 13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 51 | 39 | 52 | 7 | 38 | 586 | 593 | 630 | 33 | 39 | 6 | 2 | 27 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 33.3% | 5.3% | 89.7% | 95.0 | Unlucky | |
| 14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 10 | 16 | 0 | 0 | 51 | 39 | 52 | 7 | 36 | 586 | 593 | 630 | 33 | 24 | 11 | 4 | 28 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 71.4% | 16.7% | 91.7% | 108.3 | LUCKY | |
| 15 | 5 | 1 | 2 | 0 | 0 | 1 | 0 | 1 | 8 | 14 | -6 | 4 | 0.400 | 8 | 16 | 24 | 0 | 0 | 51 | 39 | 52 | 7 | 129 | 586 | 593 | 630 | 33 | 155 | 42 | 39 | 119 | 14 | 0 | 0.00% | 16 | 2 | 87.50% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 40.0% | 6.2% | 91.0% | 97.2 | Unlucky | |
| 16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 51 | 39 | 52 | 7 | 35 | 586 | 593 | 630 | 33 | 41 | 15 | 6 | 24 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 66.7% | 5.7% | 97.6% | 103.3 | DULL | |
| 17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 51 | 39 | 52 | 7 | 43 | 586 | 593 | 630 | 33 | 52 | 12 | 12 | 48 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 40.0% | 9.3% | 88.5% | 97.8 | FUN | |
| 18 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 51 | 39 | 52 | 7 | 51 | 586 | 593 | 630 | 33 | 82 | 17 | 24 | 36 | 4 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 41.7% | 9.8% | 87.8% | 97.6 | FUN | |
| 19 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 4 | 1.000 | 5 | 9 | 14 | 0 | 2 | 51 | 39 | 52 | 7 | 52 | 586 | 593 | 630 | 33 | 64 | 26 | 12 | 59 | 6 | 2 | 33.33% | 6 | 0 | 100.00% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 100.0% | 9.6% | 100.0% | 109.6 | LUCKY | |
| 20 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 5 | 13 | -8 | 2 | 0.333 | 5 | 9 | 14 | 0 | 0 | 51 | 39 | 52 | 7 | 80 | 586 | 593 | 630 | 33 | 106 | 26 | 30 | 72 | 11 | 1 | 9.09% | 14 | 3 | 78.57% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 28.6% | 6.3% | 87.7% | 94.0 | Unlucky | |
| 21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 51 | 39 | 52 | 7 | 27 | 586 | 593 | 630 | 33 | 32 | 16 | 8 | 30 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 100.0% | 3.7% | 100.0% | 103.7 | DULL | |
| 22 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 4 | 1.000 | 6 | 11 | 17 | 0 | 1 | 51 | 39 | 52 | 7 | 72 | 586 | 593 | 630 | 33 | 48 | 16 | 7 | 43 | 10 | 1 | 10.00% | 1 | 0 | 100.00% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 71.4% | 8.3% | 95.8% | 104.2 | DULL | |
| 23 | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 13 | 8 | 5 | 6 | 0.750 | 13 | 23 | 36 | 1 | 0 | 51 | 39 | 52 | 7 | 128 | 586 | 593 | 630 | 33 | 102 | 28 | 19 | 89 | 17 | 4 | 23.53% | 7 | 2 | 71.43% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 60.0% | 10.2% | 92.2% | 102.3 | LUCKY | |
| 24 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 51 | 39 | 52 | 7 | 45 | 586 | 593 | 630 | 33 | 26 | 7 | 4 | 21 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 60.0% | 6.7% | 92.3% | 99.0 | DULL | |
| 25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 51 | 39 | 52 | 7 | 40 | 586 | 593 | 630 | 33 | 30 | 7 | 17 | 23 | 6 | 2 | 33.33% | 6 | 2 | 66.67% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 100.0% | 10.0% | 93.3% | 103.3 | LUCKY | |
| 26 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 51 | 39 | 52 | 7 | 28 | 586 | 593 | 630 | 33 | 25 | 7 | 6 | 19 | 1 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 50.0% | 7.1% | 88.0% | 95.1 | Unlucky | |
| 27 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 6 | 17 | -11 | 0 | 0.000 | 6 | 10 | 16 | 0 | 0 | 51 | 39 | 52 | 7 | 116 | 586 | 593 | 630 | 33 | 150 | 34 | 53 | 106 | 13 | 1 | 7.69% | 21 | 10 | 52.38% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 41.7% | 5.2% | 88.7% | 93.8 | Unlucky | |
| 28 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 4 | 1.000 | 9 | 16 | 25 | 0 | 0 | 51 | 39 | 52 | 7 | 71 | 586 | 593 | 630 | 33 | 55 | 13 | 14 | 51 | 8 | 3 | 37.50% | 6 | 0 | 100.00% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 54.5% | 12.7% | 90.9% | 103.6 | FUN | |
| 29 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 6 | 10 | 0 | 1 | 51 | 39 | 52 | 7 | 22 | 586 | 593 | 630 | 33 | 30 | 11 | 12 | 26 | 1 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 100.0% | 18.2% | 100.0% | 118.2 | LUCKY | |
| _Vs Division | 18 | 8 | 16 | 0 | 2 | 2 | 1 | 3 | 49 | 44 | 5 | 27 | 0.750 | 49 | 86 | 135 | 1 | 0 | 51 | 39 | 52 | 7 | 574 | 586 | 593 | 630 | 33 | 520 | 145 | 135 | 406 | 67 | 16 | 23.88% | 61 | 12 | 80.33% | 1 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 50.8% | 8.5% | 91.5% | 100.1 | DULL | |
| _Vs Conference | 46 | 16 | 22 | 0 | 2 | 2 | 1 | 3 | 100 | 125 | -25 | 43 | 0.467 | 100 | 179 | 279 | 3 | 3 | 51 | 39 | 52 | 7 | 1341 | 586 | 593 | 630 | 33 | 1457 | 403 | 366 | 1072 | 161 | 25 | 15.53% | 161 | 33 | 79.50% | 1 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 44.9% | 7.5% | 91.4% | 98.9 | DULL | |
| _Since Last GM Reset | 61 | 24 | 26 | 0 | 3 | 3 | 1 | 4 | 146 | 162 | -16 | 63 | 0.516 | 146 | 257 | 403 | 3 | 5 | 51 | 39 | 52 | 7 | 1822 | 586 | 593 | 630 | 33 | 1927 | 545 | 475 | 1440 | 204 | 32 | 15.69% | 210 | 41 | 80.48% | 2 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 48.5% | 8.0% | 91.6% | 99.6 | DULL | |
| Total | 61 | 24 | 26 | 0 | 3 | 3 | 1 | 4 | 146 | 162 | -16 | 63 | 0.516 | 146 | 257 | 403 | 3 | 5 | 51 | 39 | 52 | 7 | 1822 | 586 | 593 | 630 | 33 | 1927 | 545 | 475 | 1440 | 204 | 32 | 15.69% | 210 | 41 | 80.48% | 2 | 1014 | 2148 | 47.21% | 1035 | 2187 | 47.33% | 435 | 902 | 48.23% | 1430 | 950 | 1438 | 474 | 828 | 413 | 48.5% | 8.0% | 91.6% | 99.6 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2148 |
| Neutral Zone Start | 902 |
| Defensive Zone Start | 2187 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2484 |
| Faceoffs Lost | 2753 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.6 | 9.57 |
| 2nd Period | 19.3 | 20.31 |
| 3rd Period | 29.7 | 30.68 |
| Overtime | 30.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.8 | 0.64 |
| 2nd Period | 1.5 | 1.65 |
| 3rd Period | 2.3 | 2.67 |
| Overtime | 2.4 | 2.83 |
| Even Strenght Goal | 109 |
|---|---|
| PP Goal | 32 |
| PK Goal | 2 |
| Empty Net Goal | 3 |
| Home | Away | |
|---|---|---|
| Win | 14 | 14 |
| Lost | 13 | 13 |
| Overtime Lost | 3 | 4 |
| PP Attempt | 204 |
|---|---|
| PP Goal | 32 |
| PK Attempt | 210 |
| PK Goal Against | 41 |
| Home | |
|---|---|
| Shots For | 29.9 |
| Shots Against | 31.6 |
| Goals For | 2.4 |
| Goals Against | 2.7 |
| Hits | 23.6 |
| Shots Blocked | 8.9 |
| Pim | 7.8 |
| 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 | |||||||||||
| 2025-11-29 | @ | Senators1,Bears4 | RECAP | |||||||||||
| 2025-11-30 | @ | Moose2,Senators3 (OT) | RECAP | |||||||||||
| 2025-12-03 | @ | Senators3,Thunderbirds2 | RECAP | |||||||||||
| 2025-12-05 | @ | Senators2,Phantoms4 | RECAP | |||||||||||
| 2025-12-06 | @ | Rocket2,Senators0 | RECAP | |||||||||||
| 2025-12-11 | @ | Checkers2,Senators3 | RECAP | |||||||||||
| 2025-12-13 | @ | Senators0,Rocket4 | RECAP | |||||||||||
| 2025-12-15 | @ | Comets1,Senators3 | RECAP | |||||||||||
| 2025-12-18 | @ | Senators1,Crunch2 (OT) | RECAP | |||||||||||
| 2025-12-20 | @ | Rocket4,Senators3 (SO) | RECAP | |||||||||||
| 2025-12-21 | @ | Senators4,Wranglers2 | RECAP | |||||||||||
| 2025-12-25 | @ | Islanders4,Senators3 | RECAP | |||||||||||
| 2025-12-27 | @ | Senators3,Monsters2 (SO) | RECAP | |||||||||||
| 2025-12-29 | @ | Monsters1,Senators5 | RECAP | |||||||||||
| 2026-01-02 | @ | Senators1,Griffins3 | RECAP | |||||||||||
| 2026-01-03 | @ | Stars3,Senators2 | RECAP | |||||||||||
| 2026-01-08 | @ | Bruins0,Senators1 | RECAP | |||||||||||
| 2026-01-11 | @ | Senators2,Wolves1 | RECAP | |||||||||||
| 2026-01-13 | @ | Comets1,Senators4 | RECAP | |||||||||||
| 2026-01-17 | @ | Senators2,Rocket4 | RECAP | |||||||||||
| 2026-01-18 | @ | Wolf Pack3,Senators1 | RECAP | |||||||||||
| 2026-01-21 | @ | Senators1,Islanders3 | RECAP | |||||||||||
| 2026-01-23 | @ | Senators0,Marlies2 | RECAP | |||||||||||
| 2026-01-24 | @ | Griffins1,Senators2 (OT) | RECAP | |||||||||||
| 2026-01-27 | @ | Senators3,Comets2 | RECAP | |||||||||||
| 2026-01-29 | @ | Marlies5,Senators2 | RECAP | |||||||||||
| 2026-01-31 | @ | Senators0,Griffins1 (SO) | RECAP | |||||||||||
| 2026-02-02 | @ | Senators5,Americans4 (OT) | RECAP | |||||||||||
| 2026-02-03 | @ | Bears2,Senators4 | RECAP | |||||||||||
| 2026-02-06 | @ | Senators0,Crunch2 | RECAP | |||||||||||
| 2026-02-07 | @ | Griffins4,Senators3 (OT) | RECAP | |||||||||||
| 2026-02-09 | @ | Senators4,Barracuda0 | RECAP | |||||||||||
| 2026-02-11 | @ | Senators1,Marlies5 | RECAP | |||||||||||
| 2026-02-13 | @ | Senators6,Admirals2 | RECAP | |||||||||||
| 2026-02-15 | @ | Crunch7,Senators3 | RECAP | |||||||||||
| 2026-02-17 | @ | Senators4,Bruins0 | RECAP | |||||||||||
| 2026-02-19 | @ | Senators1,IceHogs0 | RECAP | |||||||||||
| 2026-02-20 | @ | Roadrunners4,Senators3 | RECAP | |||||||||||
| 2026-02-24 | @ | Senators5,Wild2 | RECAP | |||||||||||
| 2026-02-25 | @ | Roadrunners6,Senators2 | RECAP | |||||||||||
| 2026-03-01 | @ | Monsters4,Senators2 | RECAP | |||||||||||
| 2026-03-04 | @ | |||||||||||||
| 2026-03-06 | @ | |||||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| 2026-03-10 | @ | |||||||||||||
| 2026-03-11 | @ | |||||||||||||
| 2026-03-14 | @ | |||||||||||||
| 2026-03-15 | @ | |||||||||||||
| 2026-03-16 | @ | |||||||||||||
| 2026-03-21 | @ | |||||||||||||
| 2026-03-22 | @ | |||||||||||||
| 2026-03-27 | @ | |||||||||||||
| 2026-04-01 | @ | |||||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,297,354$ | 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 |
| 6 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,297,354$ | 2,297,354$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,199,474$ | 12,763$ | 1,796,666$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 47 | 15,541$ | 543,935$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 543,935$ | 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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