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Boston Bruins 40-13-3, 83pts · 1st in Eastern Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 27 | C/LW/RW | 100.00 | 72 | 60 | 71 | 73 | 93 | 86 | 88 | 72 | 58 | 74 | 71 | 68 | 73 | 70 | 72 | 36 | 75 | 0 | 29 | 4,500,050$/2yrs | |||
![]() | 13 | LW/RW | 100.00 | 71 | 38 | 93 | 81 | 88 | 91 | 80 | 79 | 53 | 80 | 82 | 84 | 78 | 73 | 75 | 70 | 75 | 0 | 29 | 5,800,000$/5yrs | |||
![]() | 37 | LW/RW | 100.00 | 80 | 39 | 70 | 82 | 79 | 88 | 83 | 84 | 59 | 81 | 78 | 66 | 82 | 67 | 70 | 88 | 75 | 0 | 24 | 7,750,000$/5yrs | |||
![]() | 17 | LW | 100.00 | 89 | 84 | 62 | 81 | 92 | 89 | 90 | 82 | 79 | 81 | 83 | 67 | 80 | 69 | 84 | 86 | 75 | 0 | 25 | 8,205,714$/4yrs | |||
![]() | 61 | RW | 100.00 | 65 | 37 | 90 | 76 | 86 | 90 | 78 | 81 | 50 | 83 | 77 | 87 | 75 | 78 | 90 | 30 | 75 | 0 | 32 | 9,500,000$/3yrs | |||
![]() | 19 | C/LW/RW | 100.00 | 63 | 34 | 91 | 68 | 72 | 86 | 78 | 66 | 75 | 71 | 67 | 70 | 65 | 72 | 73 | 38 | 75 | 0 | 31 | 1,260,000$/1yrs | |||
![]() | 10 | C | 100.00 | 68 | 35 | 95 | 77 | 75 | 88 | 89 | 76 | 78 | 75 | 73 | 68 | 77 | 62 | 70 | 91 | 75 | 0 | 22 | 897,500$/1yrs | |||
![]() | 18 | C/LW | 100.00 | 70 | 38 | 94 | 77 | 88 | 86 | 90 | 76 | 83 | 79 | 74 | 72 | 75 | 71 | 73 | 75 | 75 | 0 | 27 | 4,750,000$/3yrs | |||
![]() | 64 | C/LW/RW | 100.00 | 75 | 34 | 92 | 71 | 69 | 80 | 85 | 64 | 66 | 61 | 62 | 87 | 63 | 71 | 73 | 47 | 75 | 0 | 29 | 1,035,000$/1yrs | |||
![]() | 89 | LW/RW | 100.00 | 69 | 44 | 84 | 80 | 89 | 90 | 88 | 75 | 58 | 81 | 79 | 85 | 77 | 71 | 76 | 69 | 75 | 0 | 28 | 4,750,000$/3yrs | |||
![]() | 50 | C/LW/RW | 100.00 | 71 | 33 | 82 | 76 | 67 | 87 | 89 | 72 | 58 | 74 | 69 | 71 | 73 | 72 | 70 | 42 | 75 | 0 | 28 | 3,000,000$/1yrs | |||
![]() | 12 | C/LW | 100.00 | 66 | 37 | 89 | 83 | 86 | 88 | 89 | 81 | 84 | 79 | 83 | 77 | 82 | 71 | 78 | 60 | 75 | 0 | 28 | 8,450,000$/7yrs | |||
![]() | 6 | D | 100.00 | 80 | 75 | 65 | 63 | 93 | 86 | 82 | 62 | 30 | 64 | 60 | 84 | 50 | 71 | 73 | 39 | 75 | 0 | 31 | 1,150,000$/3yrs | |||
![]() | 14 | D | 100.00 | 73 | 42 | 85 | 71 | 94 | 92 | 89 | 72 | 30 | 78 | 70 | 85 | 57 | 83 | 76 | 33 | 75 | 0 | 34 | 6,250,000$/2yrs | |||
![]() | 38 | D | 100.00 | 68 | 35 | 95 | 69 | 73 | 88 | 85 | 67 | 30 | 72 | 62 | 70 | 54 | 80 | 74 | 26 | 75 | 0 | 33 | 930,000$/1yrs | |||
![]() | 42 | D | 100.00 | 71 | 38 | 84 | 70 | 73 | 93 | 90 | 69 | 30 | 78 | 71 | 90 | 56 | 70 | 72 | 49 | 75 | 0 | 28 | 5,750,000$/8yrs | |||
![]() | 47 | D | 100.00 | 70 | 35 | 92 | 74 | 76 | 95 | 90 | 72 | 30 | 83 | 69 | 92 | 56 | 72 | 71 | 48 | 75 | 0 | 30 | 6,875,000$/5yrs | |||
![]() | 28 | D | 100.00 | 70 | 35 | 86 | 67 | 75 | 84 | 71 | 65 | 30 | 64 | 59 | 83 | 51 | 70 | 68 | 64 | 75 | 0 | 28 | 825,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 92 | C/LW | 100.00 | 70 | 43 | 84 | 66 | 84 | 80 | 79 | 65 | 87 | 63 | 60 | 83 | 62 | 75 | 73 | 27 | 75 | 0 | 32 | 1,150,000$/1yrs | |||
![]() | 26 | RW | 100.00 | 66 | 35 | 85 | 67 | 80 | 76 | 85 | 67 | 58 | 67 | 66 | 60 | 64 | 60 | 60 | 85 | 75 | 0 | 26 | 950,000$/1yrs | |||
![]() | 74 | D | 100.00 | 65 | 37 | 87 | 67 | 72 | 88 | 75 | 64 | 30 | 72 | 58 | 75 | 52 | 68 | 70 | 50 | 75 | 0 | 27 | 2,062,500$/1yrs | |||
TEAM AVERAGE | 100.00 | 71 | 42 | 85 | 73 | 81 | 87 | 84 | 72 | 55 | 74 | 70 | 77 | 67 | 71 | 73 | 55 | 75 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 32 | 100.00 | 80 | 83 | 79 | 85 | 79 | 78 | 80 | 79 | 78 | 80 | 79 | 65 | 73 | 57 | 75 | 0 | 25 | 890,000$/2yrs |
![]() | 29 | 99.50 | 96 | 93 | 89 | 97 | 95 | 94 | 96 | 95 | 94 | 96 | 95 | 70 | 78 | 76 | 75 | 0 | 26 | 4,000,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.50 | 88 | 88 | 84 | 91 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 68 | 76 | 67 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Derek Lalonde | 85 | 82 | 88 | 87 | 78 | 73 | 72 | USA | 52 | 3 | 1,500,000$ |
General Manager | Alex Héroux |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mark Stone | 61 | RW | 56 | 32 | 42 | 74 | 19 | 20 | 0 | 7 | 212 | 65 | 144 | 15.09% | 21 | 18.02 | 12 | 17 | 29 | 194 | 0 | 0 | 0 | 15 | 6 | 2 | 42.42% | 66 | 0 | 0 | 0 | 1 | 1.47 | 0 | 0 | ||
2 | Roope Hintz | 12 | C/LW | 56 | 27 | 31 | 58 | 26 | 12 | 0 | 28 | 209 | 37 | 113 | 12.92% | 3 | 17.95 | 10 | 12 | 22 | 185 | 0 | 0 | 0 | 6 | 3 | 3 | 55.69% | 1361 | 0 | 0 | 0 | 0 | 1.15 | 0 | 1 | ||
3 | Alex Tuch | 89 | LW/RW | 56 | 23 | 30 | 53 | 14 | 18 | 0 | 47 | 197 | 69 | 125 | 11.68% | 8 | 17.33 | 7 | 8 | 15 | 183 | 0 | 0 | 0 | 0 | 6 | 2 | 40.00% | 60 | 0 | 0 | 0 | 1 | 1.09 | 1 | 1 | ||
4 | Brady Tkachuk | 17 | LW | 56 | 21 | 30 | 51 | 9 | 76 | 10 | 165 | 181 | 53 | 124 | 11.60% | 3 | 17.57 | 4 | 12 | 16 | 184 | 0 | 0 | 0 | 0 | 4 | 0 | 54.55% | 132 | 0 | 0 | 0 | 0 | 1.04 | 0 | 1 | ||
5 | Devon Toews | 47 | D | 54 | 12 | 32 | 44 | 15 | 24 | 0 | 51 | 110 | 37 | 71 | 10.91% | 76 | 23.66 | 7 | 13 | 20 | 186 | 0 | 0 | 0 | 154 | 3 | 0 | 0.00% | 0 | 0 | 0 | 1 | 0 | 0.69 | 0 | 0 | ||
6 | Mattias Ekholm | 14 | D | 56 | 7 | 36 | 43 | 12 | 72 | 0 | 111 | 88 | 25 | 55 | 7.95% | 68 | 22.92 | 4 | 16 | 20 | 154 | 0 | 1 | 1 | 159 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.67 | 0 | 0 | ||
7 | Gustav Forsling | 42 | D | 56 | 8 | 32 | 40 | 15 | 32 | 0 | 83 | 90 | 28 | 64 | 8.89% | 81 | 21.54 | 7 | 11 | 18 | 156 | 0 | 0 | 0 | 174 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.66 | 0 | 1 | ||
8 | Andrei Svechnikov | 37 | LW/RW | 51 | 14 | 24 | 38 | 11 | 24 | 0 | 102 | 162 | 47 | 106 | 8.64% | 2 | 16.22 | 0 | 8 | 8 | 140 | 0 | 0 | 0 | 0 | 1 | 1 | 41.79% | 67 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 | ||
9 | Mason Marchment | 27 | C/LW/RW | 56 | 17 | 20 | 37 | 16 | 45 | 5 | 92 | 86 | 23 | 53 | 19.77% | 8 | 15.07 | 2 | 5 | 7 | 103 | 0 | 0 | 0 | 32 | 3 | 2 | 45.61% | 114 | 0 | 0 | 0 | 1 | 0.88 | 0 | 0 | ||
10 | Andrew Mangiapane | 50 | C/LW/RW | 54 | 10 | 27 | 37 | 1 | 24 | 0 | 85 | 120 | 31 | 80 | 8.33% | 6 | 15.74 | 3 | 13 | 16 | 132 | 0 | 0 | 0 | 17 | 1 | 1 | 39.74% | 156 | 0 | 0 | 0 | 0 | 0.87 | 1 | 1 | ||
11 | Matty Beniers | 10 | C | 43 | 15 | 19 | 34 | 7 | 8 | 0 | 21 | 111 | 17 | 59 | 13.51% | 6 | 15.41 | 3 | 8 | 11 | 124 | 0 | 0 | 0 | 1 | 6 | 0 | 46.70% | 878 | 0 | 0 | 0 | 0 | 1.03 | 0 | 0 | ||
12 | Pavel Zacha | 18 | C/LW | 56 | 10 | 23 | 33 | 11 | 10 | 0 | 19 | 113 | 24 | 65 | 8.85% | 10 | 17.26 | 0 | 1 | 1 | 19 | 1 | 1 | 2 | 181 | 1 | 1 | 52.76% | 1412 | 0 | 0 | 0 | 0 | 0.68 | 0 | 0 | ||
13 | Valeri Nichushkin | 13 | LW/RW | 31 | 15 | 15 | 30 | -5 | 6 | 0 | 30 | 118 | 38 | 91 | 12.71% | 8 | 17.22 | 7 | 6 | 13 | 90 | 0 | 0 | 0 | 59 | 0 | 0 | 41.86% | 43 | 0 | 0 | 0 | 1 | 1.12 | 0 | 0 | ||
14 | Travis Dermott | 28 | D | 46 | 0 | 17 | 17 | 9 | 16 | 0 | 53 | 29 | 7 | 17 | 0.00% | 40 | 15.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
15 | Tyler Motte | 64 | C/LW/RW | 56 | 6 | 9 | 15 | 2 | 16 | 0 | 40 | 73 | 22 | 57 | 8.22% | 11 | 11.80 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 190 | 3 | 1 | 39.58% | 48 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
16 | Josh Brown | 6 | D | 33 | 1 | 9 | 10 | 2 | 32 | 0 | 75 | 15 | 6 | 13 | 6.67% | 32 | 14.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.43 | 0 | 0 | ||
17 | Nate Schmidt | 38 | D | 44 | 1 | 9 | 10 | 3 | 22 | 0 | 33 | 15 | 3 | 13 | 6.67% | 31 | 13.37 | 1 | 0 | 1 | 22 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | ||
18 | Travis Boyd | 19 | C/LW/RW | 51 | 4 | 6 | 10 | 7 | 6 | 0 | 20 | 40 | 12 | 20 | 10.00% | 4 | 10.56 | 0 | 0 | 0 | 8 | 1 | 0 | 1 | 53 | 0 | 0 | 51.20% | 250 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
19 | Ethan Bear | 74 | D | 55 | 1 | 8 | 9 | -6 | 36 | 0 | 38 | 26 | 13 | 23 | 3.85% | 65 | 16.59 | 0 | 1 | 1 | 29 | 0 | 0 | 0 | 121 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.20 | 0 | 0 | ||
20 | Tomas Nosek | 92 | C/LW | 54 | 4 | 3 | 7 | -1 | 2 | 0 | 20 | 45 | 16 | 28 | 8.89% | 7 | 9.80 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 160 | 1 | 0 | 53.78% | 649 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | ||
21 | Maxim Tsyplakov | 26 | RW | 5 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 2 | 2 | 3 | 0.00% | 0 | 7.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
Team Total or Average | 1025 | 228 | 422 | 650 | 166 | 501 | 15 | 1123 | 2042 | 575 | 1324 | 11.17% | 490 | 16.47 | 67 | 131 | 198 | 1919 | 2 | 3 | 5 | 1414 | 40 | 13 | 51.43% | 5236 | 0 | 0 | 1 | 4 | 0.77 | 2 | 5 |
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 | Jake Oettinger | Bruins | 47 | 32 | 9 | 3 | 0.915 | 2.66 | 2686 | 6 | 1 | 119 | 1399 | 0 | 3 | 0 | 1.000 | 3 | 45 | 11 | 3 | 0 | 0 |
2 | Cayden Primeau | Bruins | 14 | 8 | 4 | 0 | 0.894 | 2.90 | 684 | 4 | 1 | 33 | 310 | 0 | 0 | 0 | 0.000 | 0 | 11 | 45 | 1 | 1 | 0 |
Team Total or Average | 61 | 40 | 13 | 3 | 0.911 | 2.71 | 3370 | 10 | 2 | 152 | 1709 | 0 | 3 | 0 | 1.000 | 3 | 56 | 56 | 4 | 1 | 0 |
Projected Total Cap Hit | 87,877,616$ |
Projected Cap Space | 122,384$ |
Retains And Buyout Cap Hit | -1,708,333$ |
Salary Cap To Date | 57,645,021$ |
Players In Salary Cap | 28 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Tuch | LW/RW | 28 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | |||||
Andrei Svechnikov ![]() | LW/RW | 24 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | RFA | ||
Andrew Mangiapane | C/LW/RW | 28 | 3,000,000$ | 3,000,000$ | RFA | ||||||
Brady Tkachuk ![]() | LW | 25 | 8,205,714$ | 8,205,714$ | 8,205,714$ | 8,205,714$ | 8,205,714$ | RFA | |||
Cayden Primeau | D/G | 25 | 890,000$ | 890,000$ | 890,000$ | ||||||
Devon Toews ![]() | D | 30 | 6,875,000$ | 6,875,000$ | 6,875,000$ | 6,875,000$ | 6,875,000$ | 6,875,000$ | UFA | ||
Ethan Bear | D | 27 | 2,062,500$ | 2,062,500$ | RFA | ||||||
Gustav Forsling ![]() | D | 28 | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ | 5,750,000$ |
Jake Oettinger | LW/G | 26 | 4,000,000$ | 4,000,000$ | |||||||
Josh Brown ![]() | D | 31 | 1,150,000$ | 1,150,000$ | 1,150,000$ | 1,150,000$ | UFA | ||||
Mark Stone ![]() | RW | 32 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||||
Mason Marchment ![]() | C/LW/RW | 29 | 4,500,050$ | 4,500,050$ | 4,500,050$ | ||||||
Mattias Ekholm | D | 34 | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA | |||||
Matty Beniers ![]() | C | 22 | 897,500$ | 897,500$ | |||||||
Maxim Tsyplakov ![]() | RW | 26 | 950,000$ | 950,000$ | RFA | ||||||
Nate Schmidt ![]() | D | 33 | 930,000$ | 930,000$ | UFA | ||||||
Pavel Zacha ![]() | C/LW | 27 | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | |||||
Roope Hintz ![]() | C/LW | 28 | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | UFA |
Tomas Nosek ![]() | C/LW/G | 32 | 1,150,000$ | 1,150,000$ | |||||||
Travis Boyd ![]() | C/LW/RW | 31 | 1,260,000$ | 1,260,000$ | |||||||
Travis Dermott | D | 28 | 825,000$ | 825,000$ | RFA | ||||||
Tyler Motte ![]() | C/LW/RW | 29 | 1,035,000$ | 1,035,000$ | |||||||
Valeri Nichushkin ![]() | LW/RW | 29 | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | 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 |
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1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 18 | 28 | 0 | 0 | 2 | 3 | 5 | 0 | 77 | 34 | 20 | 23 | 0 | 80 | 19 | 30 | 35 | 6 | 4 | 66.67% | 12 | 2 | 83.33% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 46 | 30 | 46 | 15 | 27 | 14 | 60.0% | 13.0% | 92.5% | 105.5 | LUCKY | |
2 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 4 | 0.667 | 12 | 21 | 33 | 0 | 0 | 4 | 4 | 4 | 0 | 101 | 32 | 23 | 46 | 0 | 85 | 22 | 28 | 57 | 9 | 5 | 55.56% | 13 | 2 | 84.62% | 1 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 71 | 49 | 68 | 22 | 39 | 19 | 53.8% | 11.9% | 90.6% | 102.5 | FUN | |
3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 63 | 20 | 24 | 19 | 0 | 52 | 14 | 21 | 35 | 8 | 1 | 12.50% | 6 | 0 | 100.00% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 46 | 29 | 45 | 16 | 27 | 13 | 40.0% | 4.8% | 94.2% | 99.0 | DULL | |
4 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 8 | 4 | 6 | 1.000 | 12 | 21 | 33 | 0 | 0 | 6 | 3 | 2 | 1 | 126 | 50 | 37 | 38 | 1 | 90 | 21 | 28 | 60 | 11 | 1 | 9.09% | 14 | 2 | 85.71% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 74 | 51 | 67 | 21 | 37 | 18 | 64.7% | 9.5% | 91.1% | 100.6 | Unlucky | |
5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 0 | 1 | 0 | 24 | 11 | 3 | 10 | 0 | 17 | 6 | 2 | 17 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 25 | 18 | 20 | 7 | 13 | 6 | 66.7% | 16.7% | 88.2% | 104.9 | FUN | |
6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 25 | 9 | 7 | 9 | 0 | 28 | 8 | 10 | 15 | 3 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 24 | 16 | 23 | 7 | 12 | 6 | 40.0% | 8.0% | 85.7% | 93.7 | Unlucky | |
7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 3 | 8 | 4 | 1.000 | 11 | 21 | 32 | 0 | 0 | 3 | 3 | 5 | 0 | 65 | 24 | 10 | 31 | 0 | 48 | 15 | 10 | 49 | 9 | 5 | 55.56% | 5 | 1 | 80.00% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 52 | 37 | 41 | 15 | 25 | 13 | 75.0% | 16.9% | 93.8% | 110.7 | LUCKY | |
8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0.500 | 9 | 15 | 24 | 0 | 0 | 3 | 3 | 3 | 0 | 72 | 20 | 26 | 26 | 0 | 54 | 19 | 14 | 35 | 7 | 3 | 42.86% | 6 | 1 | 83.33% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 49 | 35 | 45 | 13 | 25 | 13 | 42.9% | 12.5% | 83.3% | 95.8 | FUN | |
9 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 5 | 1 | 3 | 0 | 68 | 23 | 22 | 23 | 0 | 65 | 14 | 10 | 35 | 10 | 5 | 50.00% | 4 | 1 | 75.00% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 46 | 33 | 47 | 17 | 25 | 12 | 44.4% | 13.2% | 90.8% | 104.0 | FUN | |
10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 3 | 7 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 6 | 3 | 1 | 0 | 88 | 23 | 38 | 27 | 0 | 59 | 11 | 8 | 39 | 9 | 4 | 44.44% | 4 | 0 | 100.00% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 52 | 37 | 43 | 13 | 24 | 13 | 66.7% | 11.4% | 94.9% | 106.3 | LUCKY | |
11 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 1 | 2 | 1 | 0 | 72 | 31 | 27 | 14 | 0 | 58 | 18 | 18 | 38 | 7 | 1 | 14.29% | 8 | 0 | 100.00% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 46 | 31 | 48 | 15 | 24 | 12 | 37.5% | 5.6% | 91.4% | 96.9 | DULL | |
12 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 4 | 1 | 3 | 1 | 74 | 22 | 26 | 23 | 3 | 66 | 18 | 12 | 42 | 7 | 2 | 28.57% | 6 | 1 | 83.33% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 49 | 34 | 46 | 14 | 25 | 13 | 58.3% | 12.2% | 90.9% | 103.1 | FUN | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30 | 8 | 8 | 14 | 0 | 28 | 13 | 8 | 10 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 24 | 17 | 23 | 6 | 11 | 5 | 0.0% | 0.0% | 89.3% | 89.3 | Unlucky | |
14 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 8 | 12 | 0 | 1 | 0 | 3 | 1 | 0 | 39 | 14 | 12 | 13 | 0 | 36 | 3 | 12 | 20 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 24 | 16 | 21 | 7 | 13 | 7 | 100.0% | 10.3% | 100.0% | 110.3 | LUCKY | |
15 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 1 | 2 | 0 | 28 | 12 | 7 | 9 | 0 | 51 | 12 | 14 | 23 | 2 | 1 | 50.00% | 6 | 0 | 100.00% | 1 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 20 | 13 | 27 | 7 | 11 | 5 | 60.0% | 14.3% | 96.1% | 110.4 | LUCKY | |
16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 21 | 5 | 4 | 12 | 0 | 27 | 4 | 14 | 19 | 3 | 1 | 33.33% | 6 | 0 | 100.00% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 24 | 15 | 21 | 8 | 14 | 7 | 0.0% | 4.8% | 92.6% | 97.4 | DULL | |
17 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 2 | 1 | 3 | 0 | 61 | 25 | 18 | 18 | 0 | 53 | 19 | 14 | 51 | 8 | 3 | 37.50% | 7 | 0 | 100.00% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 48 | 32 | 44 | 14 | 27 | 14 | 37.5% | 9.8% | 90.6% | 100.4 | FUN | |
18 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 4 | 2 | 3 | 1 | 62 | 22 | 22 | 16 | 2 | 81 | 21 | 20 | 36 | 9 | 3 | 33.33% | 10 | 3 | 70.00% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 44 | 28 | 51 | 15 | 27 | 13 | 70.0% | 16.1% | 92.6% | 108.7 | LUCKY | |
19 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 3 | 4 | 2 | 0 | 63 | 14 | 30 | 19 | 0 | 47 | 11 | 18 | 43 | 15 | 4 | 26.67% | 7 | 1 | 85.71% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 48 | 33 | 43 | 14 | 27 | 14 | 71.4% | 14.3% | 93.6% | 107.9 | LUCKY | |
20 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 6 | 1.000 | 8 | 15 | 23 | 0 | 1 | 3 | 1 | 4 | 0 | 95 | 26 | 37 | 32 | 0 | 78 | 29 | 32 | 59 | 9 | 2 | 22.22% | 15 | 1 | 93.33% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 69 | 47 | 71 | 22 | 38 | 18 | 85.7% | 8.4% | 97.4% | 105.9 | DULL | |
21 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 14 | 8 | 6 | 5 | 0.833 | 14 | 21 | 35 | 0 | 0 | 3 | 8 | 3 | 0 | 113 | 28 | 50 | 35 | 0 | 103 | 38 | 26 | 50 | 11 | 1 | 9.09% | 12 | 4 | 66.67% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 74 | 53 | 66 | 21 | 39 | 19 | 76.5% | 12.4% | 92.2% | 104.6 | LUCKY | |
22 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 9 | -3 | 1 | 0.250 | 6 | 12 | 18 | 0 | 0 | 3 | 3 | 0 | 0 | 71 | 29 | 28 | 14 | 0 | 64 | 16 | 20 | 40 | 9 | 2 | 22.22% | 8 | 3 | 62.50% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 48 | 31 | 45 | 14 | 27 | 14 | 40.0% | 8.5% | 85.9% | 94.4 | Unlucky | |
23 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 18 | 13 | 5 | 6 | 1.000 | 18 | 32 | 50 | 0 | 0 | 6 | 5 | 5 | 2 | 109 | 34 | 31 | 39 | 8 | 104 | 29 | 20 | 48 | 13 | 5 | 38.46% | 10 | 3 | 70.00% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 71 | 49 | 75 | 24 | 39 | 19 | 56.5% | 16.5% | 87.5% | 104.0 | FUN | |
24 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 2 | 1 | 1 | 0 | 34 | 14 | 15 | 5 | 0 | 33 | 5 | 8 | 25 | 3 | 1 | 33.33% | 3 | 0 | 100.00% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 22 | 14 | 24 | 7 | 13 | 6 | 60.0% | 11.8% | 93.9% | 105.7 | LUCKY | |
25 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 14 | 12 | 2 | 4 | 0.667 | 14 | 26 | 40 | 0 | 0 | 3 | 4 | 6 | 1 | 127 | 32 | 52 | 42 | 1 | 90 | 21 | 16 | 55 | 12 | 4 | 33.33% | 7 | 0 | 100.00% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 76 | 52 | 61 | 20 | 41 | 21 | 45.5% | 11.0% | 86.7% | 97.7 | FUN | |
26 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 7 | 13 | 20 | 0 | 0 | 4 | 1 | 2 | 0 | 85 | 29 | 24 | 32 | 0 | 56 | 15 | 14 | 39 | 7 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 48 | 34 | 47 | 14 | 23 | 11 | 58.3% | 8.2% | 89.3% | 97.5 | Unlucky | |
27 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0.000 | 5 | 8 | 13 | 0 | 0 | 0 | 2 | 3 | 0 | 68 | 17 | 22 | 29 | 0 | 67 | 22 | 21 | 39 | 9 | 1 | 11.11% | 8 | 3 | 62.50% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 43 | 28 | 50 | 15 | 25 | 12 | 50.0% | 7.4% | 89.6% | 96.9 | Unlucky | |
28 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 3 | 1 | 3 | 0 | 46 | 25 | 7 | 14 | 0 | 35 | 14 | 10 | 19 | 6 | 2 | 33.33% | 4 | 1 | 75.00% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 22 | 14 | 23 | 7 | 13 | 7 | 71.4% | 15.2% | 91.4% | 106.6 | LUCKY | |
29 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 6 | 4 | 3 | 0.750 | 10 | 19 | 29 | 0 | 0 | 4 | 3 | 3 | 0 | 59 | 22 | 19 | 18 | 0 | 54 | 17 | 21 | 38 | 9 | 3 | 33.33% | 7 | 2 | 71.43% | 0 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 46 | 31 | 47 | 15 | 27 | 14 | 63.6% | 16.9% | 88.9% | 105.8 | FUN | |
_Vs Division | 17 | 8 | 6 | 0 | 1 | 1 | 1 | 0 | 66 | 52 | 14 | 21 | 0.618 | 66 | 111 | 177 | 0 | 0 | 20 | 23 | 21 | 2 | 609 | 196 | 195 | 213 | 8 | 526 | 163 | 141 | 322 | 64 | 16 | 25.00% | 64 | 13 | 79.69% | 1 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 405 | 279 | 401 | 127 | 219 | 109 | 56.2% | 10.8% | 90.1% | 101.0 | FUN | |
_Vs Conference | 33 | 18 | 10 | 0 | 3 | 1 | 1 | 0 | 124 | 95 | 29 | 45 | 0.682 | 124 | 215 | 339 | 0 | 1 | 40 | 40 | 40 | 4 | 1175 | 367 | 399 | 402 | 10 | 992 | 297 | 281 | 622 | 125 | 31 | 24.80% | 127 | 20 | 84.25% | 2 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 794 | 548 | 766 | 241 | 426 | 214 | 55.4% | 10.6% | 90.4% | 101.0 | FUN | |
_Since Last GM Reset | 56 | 34 | 13 | 0 | 5 | 3 | 1 | 0 | 222 | 152 | 70 | 83 | 0.741 | 222 | 403 | 625 | 0 | 2 | 79 | 65 | 72 | 6 | 1966 | 655 | 649 | 650 | 15 | 1709 | 474 | 479 | 1071 | 215 | 64 | 29.77% | 208 | 34 | 83.65% | 2 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 1347 | 923 | 1292 | 417 | 733 | 371 | 57.2% | 11.3% | 91.1% | 102.4 | Unlucky | |
Total | 56 | 34 | 13 | 0 | 5 | 3 | 1 | 0 | 222 | 152 | 70 | 83 | 0.741 | 222 | 403 | 625 | 0 | 2 | 79 | 65 | 72 | 6 | 1966 | 655 | 649 | 650 | 15 | 1709 | 474 | 479 | 1071 | 215 | 64 | 29.77% | 208 | 34 | 83.65% | 2 | 1124 | 2168 | 51.85% | 1012 | 1985 | 50.98% | 511 | 937 | 54.54% | 1347 | 923 | 1292 | 417 | 733 | 371 | 57.2% | 11.3% | 91.1% | 102.4 | Unlucky |
Puck Time | |
---|---|
Offensive Zone | 24 |
Neutral Zone | 13 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 2168 |
Neutral Zone Start | 937 |
Defensive Zone Start | 1985 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 2647 |
Faceoffs Lost | 2443 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.7 | 9.57 |
2nd Period | 23.3 | 20.31 |
3rd Period | 34.9 | 30.68 |
Overtime | 35.2 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.4 | 0.64 |
2nd Period | 2.6 | 1.65 |
3rd Period | 3.9 | 2.67 |
Overtime | 4.0 | 2.83 |
Even Strenght Goal | 156 |
---|---|
PP Goal | 64 |
PK Goal | 2 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 19 | 21 |
Lost | 8 | 5 |
Overtime Lost | 2 | 1 |
PP Attempt | 215 |
---|---|
PP Goal | 64 |
PK Attempt | 208 |
PK Goal Against | 34 |
Home | |
---|---|
Shots For | 35.1 |
Shots Against | 30.5 |
Goals For | 4.0 |
Goals Against | 2.7 |
Hits | 19.1 |
Shots Blocked | 8.5 |
Pim | 8.6 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
2024-10-08 | @ | Bruins4,Panthers2 | RECAP | |||||||||||
2024-10-10 | @ | Canadiens3,Bruins5 | RECAP | |||||||||||
2024-10-12 | @ | Kings2,Bruins1 | RECAP | |||||||||||
2024-10-14 | @ | Panthers5,Bruins4 (OT) | RECAP | |||||||||||
2024-10-16 | @ | Bruins5,Avalanche3 | RECAP | |||||||||||
2024-10-19 | @ | Bruins4,Hockey Club5 (OT) | RECAP | |||||||||||
2024-10-22 | @ | Bruins4,Predators2 | RECAP | |||||||||||
2024-10-24 | @ | Stars2,Bruins7 | RECAP | |||||||||||
2024-10-26 | @ | Maple Leafs1,Bruins4 | RECAP | |||||||||||
2024-10-29 | @ | Flyers1,Bruins3 | RECAP | |||||||||||
2024-10-31 | @ | Bruins4,Hurricanes2 | RECAP | |||||||||||
2024-11-02 | @ | Bruins5,Flyers4 (OT) | RECAP | |||||||||||
2024-11-03 | @ | Kraken4,Bruins3 (OT) | RECAP | |||||||||||
2024-11-05 | @ | Bruins4,Maple Leafs5 | RECAP | |||||||||||
2024-11-07 | @ | Flames4,Bruins6 | RECAP | |||||||||||
2024-11-09 | @ | Senators4,Bruins5 (SO) | RECAP | |||||||||||
2024-11-12 | @ | Bruins8,Blues2 | RECAP | |||||||||||
2024-11-14 | @ | Bruins3,Stars1 | RECAP | |||||||||||
2024-11-16 | @ | Blues1,Bruins3 | RECAP | |||||||||||
2024-11-18 | @ | Blue Jackets0,Bruins1 | RECAP | |||||||||||
2024-11-21 | @ | Hockey Club4,Bruins2 | RECAP | |||||||||||
2024-11-23 | @ | Bruins2,Red Wings3 | RECAP | |||||||||||
2024-11-26 | @ | Canucks2,Bruins1 | RECAP | |||||||||||
2024-11-27 | @ | Bruins5,Islanders2 | RECAP | |||||||||||
2024-11-29 | @ | Penguins4,Bruins2 | RECAP | |||||||||||
2024-12-01 | @ | Canadiens2,Bruins1 | RECAP | |||||||||||
2024-12-03 | @ | Red Wings3,Bruins5 | RECAP | |||||||||||
2024-12-04 | @ | Bruins4,Blackhawks0 | RECAP | |||||||||||
2024-12-07 | @ | Flyers3,Bruins4 | RECAP | |||||||||||
2024-12-10 | @ | Bruins5,Jets3 | RECAP | |||||||||||
2024-12-12 | @ | Bruins7,Kraken2 | RECAP | |||||||||||
2024-12-14 | @ | Bruins2,Canucks1 | RECAP | |||||||||||
2024-12-17 | @ | Bruins3,Flames2 (OT) | RECAP | |||||||||||
2024-12-19 | @ | Bruins4,Oilers3 (OT) | RECAP | |||||||||||
2024-12-21 | @ | Sabres2,Bruins3 | RECAP | |||||||||||
2024-12-23 | @ | Capitals8,Bruins4 | RECAP | |||||||||||
2024-12-27 | @ | Bruins4,Blue Jackets1 | RECAP | |||||||||||
2024-12-28 | @ | Blue Jackets1,Bruins3 | RECAP | |||||||||||
2024-12-31 | @ | Bruins5,Capitals1 | RECAP | |||||||||||
2025-01-02 | @ | Bruins5,Rangers4 (OT) | RECAP | |||||||||||
2025-01-04 | @ | Bruins4,Maple Leafs2 | RECAP | |||||||||||
2025-01-05 | @ | Islanders1,Bruins4 | RECAP | |||||||||||
2025-01-07 | @ | Oilers3,Bruins6 | RECAP | |||||||||||
2025-01-09 | @ | Bruins3,Lightning4 | RECAP | |||||||||||
2025-01-11 | @ | Bruins6,Panthers1 | RECAP | |||||||||||
2025-01-14 | @ | Lightning3,Bruins2 | RECAP | |||||||||||
2025-01-18 | @ | Bruins8,Senators5 | RECAP | |||||||||||
2025-01-20 | @ | Sharks3,Bruins7 | RECAP | |||||||||||
2025-01-22 | @ | Bruins0,Devils3 | RECAP | |||||||||||
2025-01-23 | @ | Senators4,Bruins5 (OT) | RECAP | |||||||||||
2025-01-25 | @ | Avalanche3,Bruins5 | RECAP | |||||||||||
2025-01-28 | @ | Bruins1,Sabres3 | RECAP | |||||||||||
2025-01-30 | @ | Jets3,Bruins4 | RECAP | |||||||||||
2025-02-01 | @ | Rangers7,Bruins4 | RECAP | |||||||||||
2025-02-04 | @ | Wild2,Bruins4 | RECAP | |||||||||||
2025-02-05 | @ | Bruins5,Rangers1 | RECAP | |||||||||||
2025-02-08 | @ | |||||||||||||
2025-02-22 | @ | |||||||||||||
2025-02-25 | @ | |||||||||||||
2025-02-27 | @ | |||||||||||||
2025-03-01 | @ | |||||||||||||
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2025-03-04 | @ | |||||||||||||
2025-03-06 | @ | |||||||||||||
2025-03-08 | @ | |||||||||||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
2025-03-11 | @ | |||||||||||||
2025-03-13 | @ | |||||||||||||
2025-03-15 | @ | |||||||||||||
2025-03-17 | @ | |||||||||||||
2025-03-20 | @ | |||||||||||||
2025-03-22 | @ | |||||||||||||
2025-03-23 | @ | |||||||||||||
2025-03-26 | @ | |||||||||||||
2025-03-29 | @ | |||||||||||||
2025-04-01 | @ | |||||||||||||
2025-04-03 | @ | |||||||||||||
2025-04-05 | @ | |||||||||||||
2025-04-06 | @ | |||||||||||||
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2025-04-15 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
94,953,264$ | -1,708,333$ | 87,877,616$ | 122,384$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | TD Garden | |
City | Boston | ||
Capacity | 17565 | ||
Season Ticket Holders | 65% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 6000 | 5060 | 1615 | 3700 | 1190 |
Ticket Price | 140$ | 110$ | 75$ | 45$ | 200$ |
Attendance | 139179 | 118414 | 46835 | 107300 | 33818 |
Attendance PCT | 79.99% | 80.70% | 100.00% | 100.00% | 97.99% |
Income | |||||
---|---|---|---|---|---|
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
12 | 15364 - 87.47% | 2,052,385$ | 59,519,156$ | 17565 | 110 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
94,953,264$ | 90,730,768$ | 0$ | -1,708,333$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
60,645,552$ | 462,912$ | 57,645,021$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
24,628,616$ | 69 | 492,108$ | 33,955,452$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
34,751,324$ | 87,877,616$ | 142,855,576$ | 134,481,634$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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2027 | |||||||
2028 | |||||||
2029 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Adam Kleber | 2024 | 47 | |||
Aidar Suniev | 2023 | 57 | |||
Albert Wikman | 2023 | 133 | |||
Alexander Rykov | 2023 | 131 | |||
Andrew Strathmann | 2023 | 84 | |||
Carey Terrance | 2023 | 69 | |||
Carter Sotheran | 2023 | 120 | |||
Christian Humphreys | 2024 | 112 | |||
Connor Kurth | 2022 | 137 | |||
Drew Fortescue | 2023 | 119 | |||
Hampton Slukynsky | 2024 | 118 | |||
Ian Moore | 2020 | 93 | |||
Jacob Julien | 2024 | 152 | |||
Jaden Lipinski | 2023 | 127 | |||
Kasper Pikkarainen | 2024 | 130 | |||
Kim Saarinen | 2024 | 98 | ELC 2024-25 | Link | |
Mac Swanson | 2024 | 134 | |||
Melvin Fernstrom | 2024 | 102 | |||
Michael Fisher | 2022 | 127 | |||
Ryder Ritchie | 2024 | 34 | |||
Samuel Rinzel | 2022 | 40 | |||
Stian Solberg | 2024 | 22 | ELC 2024-25 | Link | |
Tristan Bertucci | 2023 | 89 | ELC | Link | |
Ty Young | 2022 | 197 | ELC 2024-25 | Link | |
William Whitelaw | 2023 | 66 | |||
Yegor Zavragin | 2024 | 113 |
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