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Full Scoreboard »» |
Boston Bruins 33-22-9, 75pts · 6th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 40 | C/LW/RW | 98.00 | 70 | 32 | 94 | 85 | 72 | 89 | 90 | 84 | 81 | 85 | 83 | 82 | 83 | 69 | 76 | 0 | 61 | 91 | 26 | 11,250,000$/8yrs | |||
![]() | 16 | RW | 98.00 | 64 | 32 | 90 | 86 | 71 | 91 | 87 | 81 | 58 | 90 | 79 | 83 | 80 | 72 | 82 | 0 | 51 | 91 | 27 | 10,500,000$/3yrs | |||
![]() | 14 | C/RW | 98.00 | 65 | 33 | 96 | 83 | 79 | 87 | 90 | 76 | 87 | 86 | 74 | 69 | 75 | 68 | 77 | 0 | 53 | 87 | 25 | 7,125,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 57 | 34 | 93 | 78 | 86 | 85 | 90 | 77 | 62 | 76 | 82 | 60 | 79 | 68 | 67 | 0 | 80 | 85 | 25 | 3,400,000$/1yrs | |||
![]() | 22 | LW/RW | 100.00 | 65 | 31 | 91 | 82 | 63 | 84 | 90 | 76 | 60 | 73 | 85 | 56 | 81 | 66 | 65 | 0 | 60 | 85 | 24 | 7,750,000$/7yrs | |||
![]() | 77 | LW/RW | 100.00 | 60 | 32 | 85 | 80 | 74 | 85 | 90 | 71 | 58 | 78 | 75 | 50 | 73 | 64 | 62 | 0 | 54 | 82 | 23 | 855,833$/7yrs | |||
![]() | 27 | LW/RW | 100.00 | 58 | 33 | 89 | 75 | 77 | 82 | 90 | 70 | 57 | 66 | 80 | 56 | 75 | 66 | 64 | 0 | 59 | 80 | 24 | 2,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 82 | 43 | 70 | 64 | 95 | 84 | 81 | 65 | 58 | 66 | 64 | 85 | 64 | 72 | 69 | 0 | 32 | 79 | 28 | 3,000,000$/1yrs | |||
![]() | 11 | C/LW | 100.00 | 62 | 32 | 64 | 74 | 72 | 86 | 82 | 70 | 74 | 75 | 72 | 56 | 71 | 64 | 60 | 0 | 56 | 79 | 23 | 5,750,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 58 | 37 | 86 | 71 | 81 | 81 | 90 | 69 | 86 | 69 | 72 | 61 | 71 | 66 | 65 | 0 | 30 | 78 | 24 | 2,900,000$/2yrs | |||
![]() | 25 | C/LW | 100.00 | 65 | 33 | 95 | 64 | 78 | 80 | 89 | 64 | 83 | 66 | 63 | 84 | 64 | 68 | 68 | 0 | 61 | 77 | 26 | 1,900,000$/2yrs | |||
![]() | 21 | LW/RW | 100.00 | 71 | 35 | 82 | 67 | 69 | 76 | 90 | 68 | 55 | 61 | 75 | 56 | 71 | 64 | 63 | 0 | 54 | 76 | 24 | 1,650,000$/1yrs | |||
![]() | 43 | D | 98.00 | 55 | 37 | 80 | 90 | 68 | 97 | 86 | 73 | 30 | 94 | 76 | 59 | 75 | 68 | 74 | 0 | 51 | 92 | 25 | 7,000,000$/2yrs | |||
![]() | 26 | D | 100.00 | 70 | 33 | 78 | 84 | 82 | 95 | 86 | 71 | 30 | 88 | 69 | 67 | 70 | 67 | 71 | 0 | 35 | 90 | 24 | 10,000,000$/8yrs | |||
![]() | 60 | D | 99.00 | 66 | 32 | 87 | 68 | 69 | 91 | 87 | 66 | 30 | 73 | 69 | 78 | 68 | 66 | 64 | 0 | 62 | 82 | 24 | 1,500,000$/2yrs | |||
![]() | 0 | D | 100.00 | 78 | 43 | 75 | 63 | 80 | 90 | 87 | 63 | 30 | 68 | 56 | 79 | 59 | 78 | 75 | 0 | 37 | 79 | 31 | 4,000,000$/1yrs | |||
![]() | 28 | D | 100.00 | 82 | 33 | 86 | 63 | 84 | 92 | 85 | 62 | 30 | 68 | 60 | 78 | 61 | 67 | 66 | 0 | 51 | 79 | 25 | 2,900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 70 | 35 | 85 | 63 | 70 | 90 | 90 | 64 | 30 | 67 | 58 | 77 | 61 | 65 | 64 | 0 | 53 | 78 | 24 | 3,375,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 5 | D | 100.00 | 59 | 32 | 99 | 64 | 73 | 82 | 88 | 59 | 30 | 66 | 57 | 69 | 58 | 66 | 66 | 0 | 62 | 75 | 24 | 1,500,000$/2yrs | |||
TEAM AVERAGE | 99.53 | 66 | 34 | 86 | 74 | 76 | 87 | 88 | 70 | 54 | 74 | 71 | 69 | 70 | 68 | 68 | 0 | 53 | 82 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 52 | 96.00 | 82 | 95 | 81 | 84 | 89 | 86 | 89 | 91 | 94 | 89 | 89 | 69 | 73 | 0 | 58 | 91 | 25 | 2,000,000$/3yrs |
![]() | 0 | 100.00 | 78 | 82 | 75 | 79 | 85 | 79 | 85 | 89 | 85 | 90 | 85 | 65 | 70 | 0 | 40 | 86 | 23 | 4,500,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.00 | 80 | 89 | 78 | 82 | 87 | 83 | 87 | 90 | 90 | 90 | 87 | 67 | 72 | 0 | 49 | 89 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jon Cooper | 91 | 86 | 96 | 79 | 82 | 77 | 83 | CAN | 55 | 5 | 1,000,000$ |
General Manager | Pierrick Côté |
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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 | Elias Pettersson | 40 | C/LW/RW | 64 | 28 | 46 | 74 | 15 | 29 | 5 | 128 | 323 | 89 | 231 | 8.67% | 22 | 21.61 | 6 | 13 | 19 | 248 | 2 | 0 | 2 | 127 | 6 | 1 | 49.92% | 1805 | 0 | 0 | 0 | 0 | 1.07 | 1 | 3 | |
2 | Mitchell Marner | 16 | RW | 64 | 34 | 35 | 69 | 15 | 12 | 0 | 95 | 233 | 66 | 212 | 14.59% | 19 | 21.82 | 5 | 11 | 16 | 265 | 0 | 1 | 1 | 132 | 2 | 0 | 44.44% | 117 | 0 | 0 | 0 | 1 | 0.99 | 0 | 3 | |
3 | Nick Suzuki | 14 | C/RW | 64 | 30 | 39 | 69 | 5 | 20 | 0 | 94 | 268 | 74 | 167 | 11.19% | 13 | 19.50 | 12 | 13 | 25 | 237 | 0 | 0 | 0 | 38 | 6 | 1 | 53.31% | 1602 | 0 | 0 | 0 | 0 | 1.11 | 1 | 3 | |
4 | Cole Caufield | 22 | LW/RW | 64 | 25 | 25 | 50 | 6 | 18 | 0 | 88 | 205 | 54 | 155 | 12.20% | 7 | 19.10 | 3 | 6 | 9 | 255 | 0 | 0 | 0 | 0 | 1 | 0 | 40.00% | 95 | 0 | 0 | 0 | 1 | 0.82 | 0 | 0 | |
5 | Quinn Hughes | 43 | D | 60 | 9 | 36 | 45 | -3 | 10 | 0 | 25 | 94 | 32 | 52 | 9.57% | 71 | 24.89 | 9 | 14 | 23 | 243 | 0 | 1 | 1 | 110 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | |
6 | Pavel Dorofeyev | 27 | LW/RW | 64 | 18 | 27 | 45 | 6 | 8 | 0 | 42 | 175 | 49 | 134 | 10.29% | 8 | 16.98 | 8 | 10 | 18 | 227 | 0 | 0 | 0 | 0 | 4 | 0 | 39.24% | 79 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 | |
7 | Jake McCabe | 0 | D | 62 | 6 | 28 | 34 | -2 | 56 | 0 | 136 | 67 | 36 | 63 | 8.96% | 93 | 21.29 | 4 | 9 | 13 | 212 | 0 | 0 | 0 | 169 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | |
8 | J.J. Moser | 0 | D | 64 | 6 | 24 | 30 | -2 | 59 | 5 | 78 | 70 | 23 | 58 | 8.57% | 89 | 21.31 | 3 | 8 | 11 | 204 | 0 | 1 | 1 | 142 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | |
9 | Jackson LaCombe | 60 | D | 64 | 5 | 23 | 28 | 11 | 44 | 0 | 79 | 38 | 16 | 37 | 13.16% | 72 | 15.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 136 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | |
10 | Barrett Hayton | 0 | C/LW | 62 | 8 | 19 | 27 | -19 | 2 | 0 | 28 | 124 | 46 | 100 | 6.45% | 9 | 17.68 | 3 | 3 | 6 | 188 | 0 | 0 | 0 | 2 | 0 | 0 | 55.03% | 1452 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | |
11 | Trevor Zegras | 11 | C/LW | 64 | 8 | 18 | 26 | -10 | 24 | 0 | 104 | 137 | 32 | 88 | 5.84% | 6 | 15.27 | 1 | 9 | 10 | 231 | 0 | 0 | 0 | 8 | 1 | 0 | 53.41% | 176 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
12 | Alexander Romanov | 28 | D | 64 | 5 | 20 | 25 | -5 | 57 | 5 | 123 | 46 | 25 | 37 | 10.87% | 73 | 19.97 | 1 | 3 | 4 | 121 | 0 | 0 | 0 | 157 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
13 | JJ Peterka | 77 | LW/RW | 64 | 6 | 17 | 23 | 10 | 12 | 0 | 61 | 90 | 41 | 65 | 6.67% | 0 | 18.97 | 2 | 6 | 8 | 250 | 0 | 0 | 0 | 0 | 2 | 0 | 34.78% | 69 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
14 | Rasmus Dahlin | 26 | D | 52 | 5 | 13 | 18 | -7 | 70 | 0 | 148 | 51 | 14 | 45 | 9.80% | 81 | 20.91 | 2 | 0 | 2 | 62 | 0 | 0 | 0 | 65 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | |
15 | Gabriel Vilardi | 0 | C/RW | 63 | 11 | 7 | 18 | 1 | 6 | 0 | 26 | 118 | 23 | 73 | 9.32% | 7 | 15.68 | 3 | 2 | 5 | 192 | 0 | 0 | 0 | 0 | 2 | 0 | 54.41% | 68 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
16 | Egor Zamula | 5 | D | 60 | 3 | 13 | 16 | 16 | 19 | 5 | 48 | 23 | 10 | 18 | 13.04% | 40 | 13.90 | 0 | 2 | 2 | 15 | 0 | 0 | 0 | 28 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | |
17 | Ryan Poehling | 25 | C/LW | 64 | 7 | 8 | 15 | -8 | 4 | 0 | 30 | 117 | 35 | 86 | 5.98% | 29 | 12.97 | 0 | 2 | 2 | 27 | 0 | 0 | 0 | 163 | 1 | 0 | 49.53% | 1058 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
18 | Jordan Greenway | 0 | LW/RW | 62 | 6 | 7 | 13 | -12 | 49 | 5 | 70 | 64 | 22 | 44 | 9.38% | 5 | 7.94 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 29 | 0 | 2 | 42.86% | 91 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | |
19 | Nils Hoglander | 21 | LW/RW | 64 | 5 | 3 | 8 | -5 | 10 | 0 | 43 | 44 | 8 | 35 | 11.36% | 1 | 7.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 1 | 0 | 45.76% | 59 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
Team Total or Average | 1189 | 225 | 408 | 633 | 12 | 509 | 25 | 1446 | 2287 | 695 | 1700 | 9.84% | 645 | 17.51 | 62 | 111 | 173 | 2986 | 2 | 3 | 5 | 1338 | 32 | 4 | 51.27% | 6671 | 0 | 0 | 0 | 2 | 0.61 | 2 | 9 |
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 | Pyotr Kochetkov | 46 | 21 | 19 | 4 | 0.903 | 3.03 | 2655 | 2 | 1 | 134 | 1376 | 0 | 1 | 0 | 0.667 | 6 | 45 | 17 | 5 | 3 | 1 | |
2 | Spencer Knight | 14 | 5 | 2 | 5 | 0.915 | 2.58 | 720 | 0 | 2 | 31 | 366 | 0 | 0 | 0 | 0.000 | 0 | 11 | 30 | 2 | 1 | 1 | |
Team Total or Average | 60 | 26 | 21 | 9 | 0.905 | 2.93 | 3376 | 2 | 3 | 165 | 1742 | 0 | 1 | 0 | 0.667 | 6 | 56 | 47 | 7 | 4 | 2 |
Projected Total Cap Hit | 85,920,044$ |
Projected Cap Space | 2,079,956$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 65,593,808$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Bruins Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Romanov ![]() | D | 25 | 2,900,000$ | 2,900,000$ | |||||||
Barrett Hayton ![]() | C/LW | 24 | 2,900,000$ | 2,900,000$ | 2,900,000$ | ||||||
Cole Caufield ![]() | LW/RW | 24 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | UFA |
Egor Zamula ![]() | D | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Elias Pettersson ![]() | C/LW/RW | 26 | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ |
Gabriel Vilardi ![]() | C/RW | 25 | 3,400,000$ | 3,400,000$ | |||||||
J.J. Moser ![]() | D | 24 | 3,375,000$ | 3,375,000$ | 3,375,000$ | ||||||
JJ Peterka ![]() | LW/RW | 23 | 855,833$ | 855,833$ | 7,325,000$ | 7,325,000$ | 7,325,000$ | 7,325,000$ | 7,325,000$ | 7,325,000$ | UFA |
Jackson LaCombe ![]() | D | 24 | 1,500,000$ | 1,500,000$ | 1,500,000$ | ||||||
Jake McCabe ![]() | D | 31 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Jordan Greenway ![]() | LW/RW | 28 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Mitchell Marner ![]() | RW | 27 | 10,500,000$ | 10,500,000$ | 10,500,000$ | 10,500,000$ | UFA | ||||
Nick Suzuki ![]() | C/RW | 25 | 7,125,000$ | 7,125,000$ | 7,125,000$ | 7,125,000$ | 7,125,000$ | UFA | |||
Nils Hoglander ![]() | LW/RW | 24 | 1,650,000$ | 1,650,000$ | RFA | ||||||
Pavel Dorofeyev ![]() | LW/RW | 24 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Pyotr Kochetkov | G | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | ||||
Quinn Hughes ![]() | D | 25 | 7,000,000$ | 7,000,000$ | 7,000,000$ | ||||||
Rasmus Dahlin ![]() | D | 24 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ |
Ryan Poehling ![]() | C/LW | 26 | 1,900,000$ | 1,900,000$ | 1,900,000$ | ||||||
Spencer Knight | G | 23 | 4,500,000$ | 4,500,000$ | 4,500,000$ | ||||||
Trevor Zegras ![]() | C/LW | 23 | 5,750,000$ | 5,750,000$ | 5,750,000$ |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Klapka ![]() | C/RW | 24 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Akira Schmid ![]() | G | 24 | 837,500$ | 837,500$ | 837,500$ | ![]() | |||||
Ben Gleason ![]() | D | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Brandon Scanlin ![]() | D | 25 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Coulson Pitre ![]() | RW | 20 | 860,000$ | 860,000$ | 860,000$ | 860,000$ | RFA | ||||
Cutter Gauthier ![]() | C/LW | 21 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
David Jiricek ![]() | D | 21 | 918,333$ | 918,333$ | 918,333$ | RFA | |||||
Dylan Duke ![]() | C/LW | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Easton Cowan ![]() | C/LW/RW | 19 | 935,833$ | 935,833$ | 935,833$ | RFA | |||||
Elias Pettersson ![]() | D | 21 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Ethen Frank ![]() | C | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Gavin Brindley ![]() | C/RW | 20 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Georgy Romanov ![]() | G | 25 | 910,000$ | 910,000$ | ![]() | ||||||
Hiroki Gojsic ![]() | RW | 18 | 865,000$ | 865,000$ | 865,000$ | 865,000$ | RFA | ||||
Hunter McKown ![]() | C | 22 | 950,000$ | 950,000$ | RFA | ||||||
Ivan Morozov ![]() | C | 24 | 800,000$ | 800,000$ | ![]() | ||||||
Jack Thompson ![]() | D | 22 | 828,333$ | 828,333$ | RFA | ||||||
Jacob Gaucher ![]() | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Jake Furlong ![]() | D | 21 | 870,833$ | 870,833$ | 870,833$ | RFA | |||||
Jett Luchanko ![]() | C | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | |||||
Joe Fleming ![]() | D | 21 | 859,167$ | 859,167$ | RFA | ||||||
Josh Filmon ![]() | LW | 20 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Liam Ohgren ![]() | LW | 21 | 886,667$ | 886,667$ | 886,667$ | 886,667$ | RFA | ||||
Luke Toporowski ![]() | LW | 23 | 870,000$ | 870,000$ | RFA | ||||||
Massimo Rizzo ![]() | C | 23 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
Niko Huuhtanen ![]() | RW | 21 | 867,500$ | 867,500$ | 867,500$ | 867,500$ | RFA | ||||
Nikolai Kovalenko ![]() | RW | 25 | 896,250$ | 896,250$ | ![]() | ||||||
Oscar Fisker Molgaard ![]() | C | 20 | 923,333$ | 923,333$ | 923,333$ | 923,333$ | RFA | ||||
Pierrick Dube ![]() | RW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Rutger McGroarty ![]() | C/LW/RW | 20 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Ryan McAllister ![]() | C | 23 | 896,667$ | 896,667$ | 896,667$ | RFA | |||||
Samuel Johannesson ![]() | D | 24 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Seamus Casey ![]() | D | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Tomas Suchanek ![]() | G | 21 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | RFA | ||||
Ty Smith ![]() | D | 24 | 800,000$ | 800,000$ | ![]() | ||||||
Viktor Neuchev ![]() | LW | 21 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
Vladislav Firstov ![]() | LW | 23 | 925,000$ | 925,000$ | RFA | ||||||
Xavier Simoneau ![]() | C/LW/RW | 23 | 855,000$ | 855,000$ | RFA |
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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 | 0 | 0 | 0 | 1 | 0 | 1 | 6 | 8 | -2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 3 | 0 | 73 | 24 | 13 | 30 | 9 | 78 | 29 | 20 | 36 | 9 | 1 | 11.11% | 9 | 4 | 55.56% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 50 | 36 | 51 | 14 | 24 | 11 | 55.6% | 8.2% | 89.7% | 98.0 | Unlucky | |
2 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 10 | 1 | 4 | 0.667 | 11 | 20 | 31 | 0 | 0 | 7 | 2 | 1 | 1 | 71 | 27 | 27 | 15 | 2 | 125 | 44 | 30 | 46 | 15 | 1 | 6.67% | 14 | 3 | 78.57% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 64 | 43 | 83 | 23 | 34 | 16 | 58.8% | 15.5% | 92.0% | 107.5 | LUCKY | |
3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 29 | 8 | 11 | 10 | 0 | 23 | 10 | 4 | 12 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 25 | 18 | 23 | 7 | 11 | 5 | 80.0% | 13.8% | 95.7% | 109.4 | LUCKY | |
4 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 5 | 8 | 6 | 1.000 | 13 | 23 | 36 | 0 | 0 | 5 | 5 | 3 | 0 | 104 | 28 | 43 | 33 | 0 | 81 | 18 | 24 | 61 | 10 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 76 | 56 | 66 | 20 | 36 | 18 | 76.5% | 12.5% | 93.8% | 106.3 | LUCKY | |
5 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 9 | 9 | 0 | 3 | 0.500 | 9 | 18 | 27 | 0 | 0 | 3 | 4 | 2 | 0 | 106 | 36 | 32 | 35 | 3 | 90 | 23 | 10 | 56 | 19 | 3 | 15.79% | 4 | 0 | 100.00% | 1 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 75 | 54 | 66 | 23 | 39 | 19 | 40.0% | 8.5% | 90.0% | 98.5 | Unlucky | |
6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 60 | 23 | 19 | 18 | 0 | 85 | 28 | 24 | 31 | 2 | 0 | 0.00% | 11 | 4 | 63.64% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 44 | 31 | 52 | 13 | 23 | 10 | 30.0% | 5.0% | 87.1% | 92.1 | Unlucky | |
7 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 3 | 2 | 1 | 2 | 65 | 21 | 25 | 19 | 3 | 62 | 16 | 18 | 37 | 15 | 3 | 20.00% | 8 | 1 | 87.50% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 53 | 36 | 44 | 15 | 26 | 13 | 40.0% | 10.8% | 88.7% | 99.5 | FUN | |
8 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 6 | 7 | 4 | 0.667 | 13 | 23 | 36 | 0 | 0 | 5 | 4 | 4 | 0 | 98 | 34 | 34 | 30 | 0 | 78 | 36 | 16 | 61 | 13 | 5 | 38.46% | 8 | 0 | 100.00% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 74 | 52 | 67 | 21 | 37 | 19 | 57.1% | 13.3% | 92.3% | 105.6 | LUCKY | |
9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 1 | 2 | 2 | 0 | 0 | 65 | 22 | 20 | 23 | 0 | 46 | 12 | 10 | 43 | 10 | 1 | 10.00% | 4 | 0 | 100.00% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 50 | 36 | 45 | 14 | 24 | 11 | 50.0% | 6.2% | 93.5% | 99.6 | DULL | |
10 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 2 | 1 | 4 | 0 | 89 | 37 | 20 | 31 | 1 | 61 | 12 | 10 | 35 | 8 | 3 | 37.50% | 5 | 1 | 80.00% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 49 | 35 | 47 | 14 | 25 | 12 | 44.4% | 7.9% | 90.2% | 98.0 | Unlucky | |
11 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 10 | -7 | 1 | 0.250 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 64 | 23 | 31 | 10 | 0 | 66 | 14 | 18 | 48 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 50 | 35 | 49 | 12 | 22 | 12 | 18.2% | 4.7% | 84.8% | 89.5 | Unlucky | |
12 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 4 | 0 | 1 | 0 | 53 | 25 | 12 | 16 | 0 | 56 | 22 | 15 | 46 | 9 | 3 | 33.33% | 5 | 1 | 80.00% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 47 | 32 | 46 | 14 | 25 | 13 | 33.3% | 9.4% | 91.1% | 100.5 | Unlucky | |
13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 7 | 4 | 1.000 | 8 | 14 | 22 | 0 | 1 | 3 | 2 | 3 | 0 | 69 | 19 | 19 | 31 | 0 | 37 | 10 | 4 | 30 | 9 | 1 | 11.11% | 2 | 0 | 100.00% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 55 | 41 | 39 | 14 | 24 | 13 | 87.5% | 11.6% | 97.3% | 108.9 | LUCKY | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 1.000 | 7 | 10 | 17 | 0 | 0 | 3 | 1 | 3 | 0 | 51 | 19 | 14 | 18 | 0 | 39 | 10 | 8 | 28 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 22 | 15 | 24 | 7 | 13 | 6 | 60.0% | 13.7% | 89.7% | 103.5 | FUN | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 3 | 3 | 1 | 0 | 79 | 24 | 36 | 19 | 0 | 48 | 13 | 10 | 33 | 13 | 3 | 23.08% | 5 | 0 | 100.00% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 56 | 40 | 37 | 13 | 25 | 14 | 57.1% | 8.9% | 93.8% | 102.6 | Unlucky | |
16 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 2 | 3 | 1 | 0 | 68 | 12 | 29 | 27 | 0 | 54 | 9 | 6 | 48 | 7 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 52 | 34 | 42 | 13 | 25 | 14 | 60.0% | 8.8% | 92.6% | 101.4 | DULL | |
17 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 14 | 21 | 0 | 0 | 3 | 2 | 1 | 1 | 60 | 13 | 22 | 24 | 1 | 70 | 16 | 18 | 48 | 8 | 2 | 25.00% | 9 | 2 | 77.78% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 45 | 31 | 51 | 15 | 24 | 11 | 71.4% | 11.7% | 94.3% | 106.0 | LUCKY | |
18 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 5 | 7 | -2 | 1 | 0.250 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 57 | 20 | 20 | 15 | 5 | 68 | 20 | 20 | 33 | 9 | 2 | 22.22% | 9 | 1 | 88.89% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 45 | 30 | 53 | 15 | 26 | 12 | 33.3% | 8.8% | 89.7% | 98.5 | Unlucky | |
19 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 5 | 0 | 1 | 0 | 53 | 19 | 19 | 15 | 0 | 68 | 20 | 18 | 45 | 7 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 46 | 32 | 48 | 14 | 24 | 12 | 54.5% | 11.3% | 91.2% | 102.5 | LUCKY | |
20 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 2 | 0.500 | 10 | 18 | 28 | 0 | 0 | 3 | 5 | 2 | 0 | 53 | 18 | 23 | 12 | 0 | 68 | 13 | 16 | 41 | 4 | 2 | 50.00% | 8 | 1 | 87.50% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 45 | 31 | 49 | 15 | 25 | 12 | 50.0% | 18.9% | 86.8% | 105.6 | FUN | |
21 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 29 | 12 | 7 | 10 | 0 | 31 | 7 | 2 | 25 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 22 | 15 | 24 | 7 | 12 | 6 | 80.0% | 13.8% | 96.8% | 110.6 | LUCKY | |
22 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 10 | 1 | 3 | 0.500 | 11 | 22 | 33 | 0 | 1 | 2 | 3 | 6 | 0 | 105 | 28 | 42 | 35 | 0 | 78 | 19 | 18 | 68 | 15 | 5 | 33.33% | 8 | 1 | 87.50% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 79 | 56 | 65 | 20 | 35 | 18 | 40.0% | 10.5% | 87.2% | 97.7 | FUN | |
23 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 4 | 0.667 | 10 | 18 | 28 | 0 | 0 | 3 | 3 | 4 | 0 | 92 | 35 | 25 | 32 | 0 | 102 | 33 | 12 | 62 | 15 | 4 | 26.67% | 6 | 1 | 83.33% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 71 | 48 | 68 | 21 | 39 | 19 | 40.0% | 10.9% | 90.2% | 101.1 | FUN | |
24 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 4 | 3 | 0 | 0 | 84 | 27 | 36 | 21 | 0 | 49 | 5 | 11 | 52 | 13 | 4 | 30.77% | 3 | 1 | 66.67% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 59 | 44 | 35 | 13 | 25 | 13 | 75.0% | 8.3% | 95.9% | 104.3 | DULL | |
25 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 1 | 0 | 22 | 2 | 11 | 9 | 0 | 31 | 2 | 0 | 21 | 3 | 1 | 33.33% | 0 | 0 | 0.00% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 25 | 17 | 21 | 7 | 13 | 6 | 50.0% | 9.1% | 96.8% | 105.9 | LUCKY | |
26 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 66 | 19 | 24 | 23 | 0 | 68 | 20 | 14 | 41 | 7 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 49 | 34 | 44 | 13 | 25 | 12 | 57.1% | 6.1% | 91.2% | 97.2 | DULL | |
27 | 4 | 0 | 2 | 0 | 0 | 2 | 0 | 0 | 10 | 15 | -5 | 2 | 0.250 | 10 | 17 | 27 | 0 | 0 | 3 | 4 | 3 | 0 | 128 | 50 | 40 | 38 | 0 | 136 | 41 | 24 | 76 | 17 | 1 | 5.88% | 11 | 2 | 81.82% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 95 | 68 | 94 | 28 | 50 | 24 | 40.9% | 7.8% | 89.0% | 96.8 | Unlucky | |
28 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 12 | 20 | 0 | 0 | 4 | 3 | 1 | 0 | 49 | 15 | 15 | 19 | 0 | 52 | 28 | 22 | 49 | 8 | 3 | 37.50% | 4 | 1 | 75.00% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 47 | 32 | 46 | 14 | 26 | 14 | 45.5% | 16.3% | 86.5% | 102.9 | FUN | |
29 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 1 | 3 | 0 | 47 | 16 | 10 | 21 | 0 | 29 | 4 | 6 | 19 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 26 | 19 | 20 | 6 | 12 | 6 | 57.1% | 10.6% | 89.7% | 100.3 | FUN | |
30 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 1 | 2 | 0 | 46 | 11 | 15 | 20 | 0 | 33 | 11 | 2 | 23 | 7 | 1 | 14.29% | 1 | 0 | 100.00% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 30 | 23 | 17 | 5 | 11 | 6 | 28.6% | 6.5% | 84.8% | 91.4 | Unlucky | |
31 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 2 | 2 | 3 | 0 | 73 | 24 | 26 | 23 | 0 | 58 | 25 | 14 | 38 | 12 | 1 | 8.33% | 7 | 1 | 85.71% | 1 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 53 | 38 | 42 | 14 | 23 | 12 | 60.0% | 9.6% | 91.4% | 101.0 | LUCKY | |
_Vs Division | 18 | 9 | 5 | 0 | 0 | 4 | 0 | 0 | 61 | 52 | 9 | 22 | 0.611 | 61 | 109 | 170 | 0 | 2 | 19 | 23 | 19 | 0 | 612 | 195 | 217 | 199 | 1 | 524 | 124 | 108 | 372 | 71 | 12 | 16.90% | 50 | 6 | 88.00% | 0 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 450 | 319 | 411 | 128 | 222 | 112 | 51.6% | 10.0% | 90.1% | 100.0 | FUN | |
_Vs Conference | 37 | 17 | 13 | 0 | 1 | 6 | 0 | 0 | 122 | 116 | 6 | 42 | 0.568 | 122 | 217 | 339 | 0 | 2 | 45 | 40 | 36 | 1 | 1181 | 396 | 411 | 368 | 6 | 1145 | 340 | 244 | 737 | 153 | 29 | 18.95% | 108 | 16 | 85.19% | 1 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 903 | 636 | 868 | 266 | 458 | 230 | 48.2% | 10.3% | 89.9% | 100.2 | FUN | |
_Since Last GM Reset | 64 | 30 | 22 | 0 | 2 | 7 | 1 | 2 | 212 | 184 | 28 | 75 | 0.586 | 212 | 375 | 587 | 0 | 3 | 86 | 63 | 60 | 4 | 2108 | 691 | 720 | 682 | 24 | 1970 | 570 | 424 | 1292 | 286 | 53 | 18.53% | 189 | 31 | 83.60% | 2 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 1595 | 1128 | 1475 | 460 | 797 | 403 | 51.0% | 10.1% | 90.7% | 100.7 | FUN | |
Total | 64 | 30 | 22 | 0 | 2 | 7 | 1 | 2 | 212 | 184 | 28 | 75 | 0.586 | 212 | 375 | 587 | 0 | 3 | 86 | 63 | 60 | 4 | 2108 | 691 | 720 | 682 | 24 | 1970 | 570 | 424 | 1292 | 286 | 53 | 18.53% | 189 | 31 | 83.60% | 2 | 1164 | 2337 | 49.81% | 1134 | 2227 | 50.92% | 514 | 1019 | 50.44% | 1595 | 1128 | 1475 | 460 | 797 | 403 | 51.0% | 10.1% | 90.7% | 100.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2337 |
Neutral Zone Start | 1019 |
Defensive Zone Start | 2227 |
Puck Time | |
---|---|
With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2812 |
Faceoffs Lost | 2771 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.8 | 9.57 |
2nd Period | 22.0 | 20.31 |
3rd Period | 32.7 | 30.68 |
Overtime | 33.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.3 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.3 | 2.83 |
Even Strenght Goal | 157 |
---|---|
PP Goal | 53 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 19 | 14 |
Lost | 10 | 12 |
Overtime Lost | 5 | 4 |
PP Attempt | 286 |
---|---|
PP Goal | 53 |
PK Attempt | 189 |
PK Goal Against | 31 |
Home | |
---|---|
Shots For | 32.9 |
Shots Against | 30.8 |
Goals For | 3.3 |
Goals Against | 2.9 |
Hits | 20.2 |
Shots Blocked | 8.9 |
Pim | 6.6 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-10 | @ | Bruins6,Panthers7 (OT) | RECAP | |||||||||||
2024-10-12 | @ | Canadiens3,Bruins5 | RECAP | |||||||||||
2024-10-14 | @ | Kings4,Bruins7 | RECAP | |||||||||||
2024-10-16 | @ | Panthers0,Bruins3 | RECAP | |||||||||||
2024-10-18 | @ | Bruins3,Avalanche4 | RECAP | |||||||||||
2024-10-21 | @ | Bruins4,Hockey Club5 | RECAP | |||||||||||
2024-10-24 | @ | Bruins7,Predators2 | RECAP | |||||||||||
2024-10-26 | @ | Stars4,Bruins3 | RECAP | |||||||||||
2024-10-28 | @ | Maple Leafs5,Bruins4 (OT) | RECAP | |||||||||||
2024-10-31 | @ | Flyers3,Bruins4 (OT) | RECAP | |||||||||||
2024-11-02 | @ | Bruins1,Hurricanes4 | RECAP | |||||||||||
2024-11-04 | @ | Bruins5,Flyers2 | RECAP | |||||||||||
2024-11-05 | @ | Kraken2,Bruins5 | RECAP | |||||||||||
2024-11-07 | @ | Bruins2,Maple Leafs3 | RECAP | |||||||||||
2024-11-09 | @ | Flames3,Bruins2 (OT) | RECAP | |||||||||||
2024-11-11 | @ | Senators2,Bruins3 | RECAP | |||||||||||
2024-11-14 | @ | Bruins2,Blues3 | RECAP | |||||||||||
2024-11-16 | @ | Bruins1,Stars2 | RECAP | |||||||||||
2024-11-18 | @ | Blues4,Bruins3 (SO) | RECAP | |||||||||||
2024-11-20 | @ | Blue Jackets4,Bruins6 | RECAP | |||||||||||
2024-11-23 | @ | Hockey Club1,Bruins2 | RECAP | |||||||||||
2024-11-25 | @ | Bruins2,Red Wings3 | RECAP | |||||||||||
2024-11-28 | @ | Canucks0,Bruins4 | RECAP | |||||||||||
2024-11-29 | @ | Bruins4,Islanders5 (OT) | RECAP | |||||||||||
2024-12-01 | @ | Penguins6,Bruins3 | RECAP | |||||||||||
2024-12-03 | @ | Canadiens3,Bruins2 (OT) | RECAP | |||||||||||
2024-12-05 | @ | Red Wings0,Bruins2 | RECAP | |||||||||||
2024-12-06 | @ | Bruins4,Blackhawks1 | RECAP | |||||||||||
2024-12-09 | @ | Flyers5,Bruins2 | RECAP | |||||||||||
2024-12-12 | @ | Bruins4,Jets1 | RECAP | |||||||||||
2024-12-14 | @ | Bruins2,Kraken3 | RECAP | |||||||||||
2024-12-16 | @ | Bruins4,Canucks1 | RECAP | |||||||||||
2024-12-19 | @ | Bruins4,Flames5 (SO) | RECAP | |||||||||||
2024-12-21 | @ | Bruins3,Oilers2 (OT) | RECAP | |||||||||||
2024-12-23 | @ | Sabres6,Bruins5 | RECAP | |||||||||||
2024-12-25 | @ | Capitals6,Bruins0 | RECAP | |||||||||||
2024-12-29 | @ | Bruins3,Blue Jackets1 | RECAP | |||||||||||
2024-12-30 | @ | Blue Jackets5,Bruins1 | RECAP | |||||||||||
2025-01-02 | @ | Bruins3,Capitals4 (OT) | RECAP | |||||||||||
2025-01-04 | @ | Bruins6,Rangers1 | RECAP | |||||||||||
2025-01-06 | @ | Bruins1,Maple Leafs3 | RECAP | |||||||||||
2025-01-07 | @ | Islanders1,Bruins3 | RECAP | |||||||||||
2025-01-09 | @ | Oilers2,Bruins4 | RECAP | |||||||||||
2025-01-11 | @ | Bruins4,Lightning3 | RECAP | |||||||||||
2025-01-13 | @ | Bruins2,Panthers3 | RECAP | |||||||||||
2025-01-16 | @ | Lightning1,Bruins2 | RECAP | |||||||||||
2025-01-20 | @ | Bruins6,Senators1 | RECAP | |||||||||||
2025-01-22 | @ | Sharks3,Bruins5 | RECAP | |||||||||||
2025-01-24 | @ | Bruins4,Devils1 | RECAP | |||||||||||
2025-01-25 | @ | Senators2,Bruins4 | RECAP | |||||||||||
2025-01-27 | @ | Avalanche3,Bruins4 (SO) | RECAP | |||||||||||
2025-01-30 | @ | Bruins5,Sabres3 | RECAP | |||||||||||
2025-02-01 | @ | Jets1,Bruins3 | RECAP | |||||||||||
2025-02-03 | @ | Rangers4,Bruins3 | RECAP | |||||||||||
2025-02-06 | @ | Wild4,Bruins5 | RECAP | |||||||||||
2025-02-07 | @ | Bruins4,Rangers1 | RECAP | |||||||||||
2025-02-10 | @ | Golden Knights5,Bruins3 | RECAP | |||||||||||
2025-02-24 | @ | Ducks1,Bruins2 | RECAP | |||||||||||
2025-02-27 | @ | Maple Leafs4,Bruins3 (OT) | RECAP | |||||||||||
2025-03-01 | @ | Islanders3,Bruins2 | RECAP | |||||||||||
2025-03-03 | @ | Bruins5,Penguins1 | RECAP | |||||||||||
2025-03-04 | @ | Bruins0,Wild1 | RECAP | |||||||||||
2025-03-06 | @ | Predators1,Bruins0 | RECAP | |||||||||||
2025-03-08 | @ | Bruins2,Hurricanes7 | RECAP | |||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-10 | @ | |||||||||||||
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2025-03-15 | @ | |||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
94,855,833$ | 0$ | 85,920,044$ | -6,855,833$ |
Arena | Goal Horn | About us | |
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![]() | Name | TD Garden | |
City | Boston | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 250$ | 175$ | 100$ | 80$ | 350$ |
Attendance | 81600 | 68000 | 27200 | 54400 | 15879 |
Attendance PCT | 40.00% | 40.00% | 40.00% | 40.00% | 46.70% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
7 | 7267 - 40.37% | 1,717,898$ | 58,408,545$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
94,855,833$ | 94,855,833$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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66,379,522$ | 483,958$ | 65,593,808$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
12,025,289$ | 42 | 489,060$ | 20,540,520$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
21,210,000$ | 94,855,833$ | 63,726,818$ | 54,542,107$ |
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 | Ronde 8 |
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2025 | ||||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
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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. |
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10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Aiden Fink | 2023 | 177 | |||
Alexander Pelevin | 2022 | 162 | |||
Alexander Perevalov | 2022 | 37 | |||
Alfons Freij | 2024 | 43 | |||
Arseni Gritsyuk | 2019 | 141 | 5.0 - 3.5 | ||
Artur Kayumov | 2016 | 50 | 6.5 - 6.5 | ||
Artyom Shchuchinov | 2024 | 216 | |||
Billy Constantinou | 2019 | 189 | 7.0 - 4.5 | ||
Christian Humphreys | 2024 | 145 | |||
Daniil Gutik | 2019 | 188 | 7.5 - 4.5 | ||
Dmitri Rashevsky | 2020 | 95 | |||
Dmitri Sheshin | 2020 | 197 | |||
Drew Fortescue | 2023 | 86 | |||
Elliot Ekmark | 2020 | 198 | |||
Ilya Kvochko | 2022 | 188 | |||
Kirill Dolzhenkov | 2022 | 103 | |||
Kirill Steklov | 2020 | 172 | |||
Luke Reid | 2020 | 155 | |||
Mac Swanson | 2024 | 155 | |||
Maddox Fleming | 2022 | 203 | |||
Matthew Morden | 2022 | 145 | |||
Michael Gildon | 2019 | 195 | 6.0 - 5.5 | ||
Mikhail Shalagin | 2019 | 196 | 5.5 - 3.5 | ||
Miroslav Satan | 2024 | 138 | |||
Mitchell Miller | |||||
Noel Fransen | 2024 | 82 | |||
Oscar Plandowski | 2021 | 138 | |||
Pavel Tyutnev | 2020 | 165 | |||
Tyler Thorpe | 2024 | 142 | |||
Vasili Atanasov | 2024 | 207 | |||
Viktor Persson | 2020 | 160 |
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