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Full Scoreboard »» |
Boston Bruins 9-12-0, 18pts · 14th in Conference Est |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | C/LW | 100.00 | 69 | 43 | 84 | 80 | 74 | 72 | 78 | 82 | 74 | 76 | 72 | 67 | 75 | 55 | 55 | 73 | 50 | 0 | 19 | 894,167$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 40 | 93 | 76 | 63 | 67 | 77 | 71 | 40 | 75 | 72 | 59 | 75 | 55 | 55 | 71 | 50 | 0 | 19 | 1,850,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 67 | 41 | 89 | 90 | 63 | 76 | 95 | 83 | 33 | 79 | 74 | 65 | 80 | 60 | 60 | 76 | 50 | 0 | 20 | 925,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 63 | 40 | 98 | 84 | 59 | 78 | 77 | 86 | 25 | 67 | 96 | 59 | 80 | 58 | 59 | 81 | 50 | 0 | 21 | 880,833$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 63 | 52 | 90 | 83 | 76 | 78 | 94 | 72 | 88 | 79 | 60 | 80 | 63 | 73 | 76 | 71 | 50 | 0 | 28 | 5,625,000$/5yrs | |||
![]() | 0 | C/LW | 100.00 | 76 | 44 | 83 | 85 | 71 | 80 | 98 | 92 | 91 | 87 | 89 | 65 | 61 | 84 | 90 | 84 | 50 | 0 | 32 | 8,500,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 71 | 44 | 88 | 85 | 82 | 75 | 99 | 64 | 91 | 77 | 72 | 89 | 76 | 79 | 84 | 77 | 50 | 0 | 30 | 5,250,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 71 | 43 | 83 | 74 | 77 | 69 | 76 | 67 | 91 | 73 | 60 | 85 | 25 | 69 | 69 | 70 | 50 | 0 | 32 | 1,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 79 | 55 | 90 | 81 | 78 | 68 | 91 | 64 | 94 | 63 | 71 | 84 | 25 | 63 | 65 | 73 | 50 | 0 | 27 | 2,000,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 75 | 43 | 84 | 93 | 68 | 87 | 91 | 97 | 35 | 83 | 96 | 63 | 77 | 63 | 64 | 86 | 50 | 0 | 25 | 9,000,000$/4yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 71 | 43 | 86 | 86 | 74 | 75 | 97 | 80 | 34 | 83 | 71 | 62 | 66 | 77 | 79 | 74 | 50 | 0 | 29 | 5,900,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 71 | 42 | 93 | 84 | 65 | 72 | 98 | 79 | 36 | 75 | 76 | 65 | 25 | 68 | 68 | 75 | 50 | 0 | 27 | 5,400,000$/4yrs | |||
![]() | 0 | D | 100.00 | 61 | 42 | 90 | 78 | 82 | 89 | 77 | 74 | 25 | 68 | 48 | 75 | 75 | 55 | 55 | 65 | 50 | 0 | 19 | 916,667$/2yrs | |||
![]() | 0 | D | 100.00 | 76 | 56 | 80 | 74 | 72 | 91 | 78 | 88 | 25 | 73 | 60 | 87 | 63 | 70 | 71 | 74 | 50 | 0 | 28 | 4,875,000$/4yrs | |||
![]() | 0 | D | 100.00 | 67 | 53 | 88 | 77 | 76 | 78 | 69 | 59 | 25 | 51 | 48 | 87 | 25 | 77 | 83 | 62 | 50 | 0 | 35 | 5,250,000$/2yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 96 | 84 | 70 | 76 | 91 | 70 | 25 | 52 | 50 | 76 | 25 | 72 | 72 | 65 | 50 | 0 | 31 | 5,950,000$/3yrs | |||
![]() | 0 | D | 100.00 | 99 | 88 | 73 | 75 | 76 | 71 | 84 | 59 | 25 | 50 | 48 | 87 | 25 | 64 | 65 | 64 | 50 | 0 | 25 | 2,000,000$/4yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 87 | 85 | 70 | 80 | 96 | 83 | 25 | 71 | 58 | 73 | 38 | 77 | 80 | 70 | 50 | 0 | 31 | 4,500,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/RW | 100.00 | 85 | 79 | 68 | 69 | 71 | 63 | 78 | 68 | 37 | 65 | 59 | 69 | 25 | 49 | 49 | 66 | 50 | 0 | 26 | 800,000$/2yrs | |||
TEAM AVERAGE | 100.00 | 71 | 49 | 86 | 81 | 72 | 76 | 87 | 76 | 48 | 71 | 67 | 74 | 53 | 67 | 68 | 72 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 67 | 84 | 82 | 81 | 68 | 66 | 80 | 67 | 65 | 67 | 72 | 69 | 69 | 70 | 50 | 0 | 29 | 6,400,000$/3yrs |
![]() | 0 | 97.00 | 71 | 55 | 55 | 73 | 78 | 64 | 84 | 73 | 78 | 71 | 95 | 55 | 55 | 72 | 50 | 0 | 27 | 1,500,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 98.50 | 69 | 70 | 69 | 77 | 73 | 65 | 82 | 70 | 72 | 69 | 84 | 62 | 62 | 71 | 50 | 0 |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW | 100.00 | 80 | 55 | 86 | 72 | 67 | 62 | 77 | 66 | 31 | 65 | 59 | 78 | 25 | 58 | 58 | 67 | 57 | 0 | 24 | 758,333$/2yrs | |||
![]() | 0 | D | 100.00 | 65 | 41 | 88 | 68 | 67 | 57 | 71 | 59 | 25 | 53 | 60 | 67 | 25 | 45 | 45 | 64 | 57 | 0 | 23 | 800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 84 | 99 | 68 | 63 | 78 | 65 | 86 | 62 | 25 | 50 | 48 | 68 | 25 | 46 | 46 | 59 | 57 | 0 | 22 | 808,333$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 42 | 95 | 73 | 72 | 61 | 60 | 69 | 25 | 53 | 47 | 63 | 25 | 57 | 57 | 59 | 57 | 0 | 24 | 762,500$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 70 | 89 | 64 | 70 | 61 | 64 | 52 | 25 | 50 | 39 | 62 | 37 | 44 | 44 | 54 | 57 | 0 | 20 | 902,500$/3yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 76 | 72 | 85 | 76 | 72 | 79 | 83 | 64 | 80 | 56 | 65 | 70 | 62 | 63 | 64 | 68 | 23 | 0 | 28 | 750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 78 | 73 | 88 | 65 | 73 | 73 | 79 | 51 | 25 | 45 | 41 | 63 | 39 | 46 | 46 | 55 | 23 | 0 | 27 | 750,000$/1yrs | |||
![]() | 0 | LWD | 100.00 | 85 | 99 | 67 | 69 | 90 | 48 | 68 | 55 | 25 | 49 | 47 | 70 | 25 | 62 | 62 | 58 | 23 | 0 | 28 | 987,500$/2yrs | |||
![]() | 0 | D | 100.00 | 79 | 75 | 87 | 72 | 75 | 52 | 54 | 49 | 25 | 43 | 39 | 63 | 37 | 44 | 44 | 53 | 23 | 0 | 27 | 750,000$/1yrs |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | ||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 63 | 48 | 60 | 77 | 68 | 63 | 61 | 68 | 65 | 64 | 30 | 45 | 45 | 62 | 57 | 0 | 24 | 766,667$/3yrs | ||||||
![]() | 0 | 100.00 | 48 | 41 | 51 | 72 | 49 | 47 | 50 | 53 | 49 | 49 | 30 | 44 | 44 | 48 | 57 | 0 | 24 | 750,000$/1yrs | ||||||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | 100.00 | 60 | 55 | 54 | 80 | 65 | 54 | 72 | 61 | 65 | 60 | 75 | 49 | 49 | 62 | 23 | 0 | 28 | 750,000$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|
General Manager | Joel Bourque |
---|
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 | Kirill Kaprizov | 0 | LW | 21 | 9 | 13 | 22 | 4 | 15 | 5 | 39 | 100 | 32 | 59 | 9.00% | 12 | 19.99 | 2 | 4 | 6 | 57 | 0 | 0 | 0 | 7 | 1 | 0 | 38.24% | 34 | 23 | 10 | 0 | 0 | 1.05 | 0 | 0 | ||
2 | Steven Stamkos | 0 | C/LW | 21 | 9 | 12 | 21 | 2 | 12 | 0 | 44 | 68 | 34 | 57 | 13.24% | 12 | 19.50 | 2 | 4 | 6 | 57 | 0 | 0 | 0 | 0 | 1 | 0 | 49.54% | 539 | 13 | 12 | 0 | 0 | 1.03 | 0 | 0 | ||
3 | Jonathan Huberdeau | 0 | C/LW/RW | 21 | 6 | 9 | 15 | 0 | 6 | 0 | 31 | 67 | 23 | 39 | 8.96% | 3 | 17.87 | 1 | 2 | 3 | 57 | 0 | 0 | 0 | 0 | 1 | 1 | 25.00% | 24 | 13 | 10 | 0 | 0 | 0.80 | 0 | 0 | ||
4 | Lucas Raymond | 0 | LW/RW | 21 | 7 | 5 | 12 | 1 | 9 | 5 | 36 | 71 | 22 | 38 | 9.86% | 7 | 17.10 | 1 | 1 | 2 | 42 | 0 | 0 | 0 | 0 | 1 | 1 | 22.22% | 18 | 25 | 9 | 0 | 0 | 0.67 | 1 | 1 | ||
5 | Oliver Bjorkstrand | 0 | LW/RW | 21 | 5 | 6 | 11 | 0 | 0 | 0 | 23 | 40 | 11 | 30 | 12.50% | 7 | 12.54 | 2 | 1 | 3 | 43 | 0 | 0 | 0 | 0 | 1 | 0 | 62.50% | 8 | 13 | 4 | 0 | 0 | 0.84 | 0 | 0 | ||
6 | Mason McTavish | 0 | C/LW | 21 | 4 | 4 | 8 | -5 | 4 | 0 | 28 | 29 | 12 | 28 | 13.79% | 7 | 11.97 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 3 | 2 | 0 | 33.33% | 12 | 7 | 6 | 0 | 0 | 0.64 | 0 | 0 | ||
7 | Michael Matheson | 0 | D | 21 | 3 | 5 | 8 | -3 | 10 | 0 | 31 | 26 | 8 | 7 | 11.54% | 26 | 22.43 | 2 | 1 | 3 | 60 | 0 | 0 | 0 | 41 | 0 | 0 | 0.00% | 0 | 8 | 16 | 0 | 0 | 0.34 | 0 | 0 | ||
8 | Andrew Copp | 0 | C/LW/RW | 21 | 2 | 5 | 7 | 0 | 8 | 0 | 21 | 30 | 5 | 26 | 6.67% | 13 | 16.76 | 0 | 2 | 2 | 43 | 0 | 0 | 0 | 40 | 0 | 0 | 49.40% | 249 | 6 | 7 | 0 | 0 | 0.40 | 0 | 0 | ||
9 | Charlie Coyle | 0 | C/RW | 21 | 3 | 4 | 7 | -5 | 7 | 5 | 20 | 27 | 8 | 14 | 11.11% | 6 | 15.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41 | 0 | 0 | 54.50% | 200 | 7 | 7 | 1 | 0 | 0.44 | 0 | 0 | ||
10 | Kent Johnson | 0 | C/LW | 21 | 2 | 4 | 6 | -6 | 2 | 0 | 5 | 51 | 8 | 18 | 3.92% | 4 | 10.16 | 0 | 1 | 1 | 41 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 2 | 11 | 3 | 0 | 0 | 0.56 | 0 | 0 | ||
11 | Cole Caufield | 0 | LW | 21 | 3 | 3 | 6 | 1 | 0 | 0 | 27 | 41 | 13 | 31 | 7.32% | 12 | 19.68 | 0 | 0 | 0 | 60 | 0 | 0 | 0 | 0 | 0 | 0 | 46.15% | 26 | 9 | 4 | 0 | 0 | 0.29 | 1 | 1 | ||
12 | Derek Grant | 0 | C/LW | 21 | 3 | 3 | 6 | -4 | 2 | 0 | 20 | 22 | 11 | 13 | 13.64% | 5 | 10.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 0.00% | 4 | 2 | 9 | 0 | 0 | 0.55 | 0 | 0 | ||
13 | Jeremy Lauzon | 0 | D | 21 | 0 | 5 | 5 | -4 | 51 | 15 | 34 | 14 | 5 | 9 | 0.00% | 29 | 18.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 0 | 0 | 0.00% | 0 | 1 | 15 | 0 | 0 | 0.25 | 0 | 0 | ||
14 | Tyson Barrie | 0 | D | 21 | 0 | 5 | 5 | -3 | 11 | 5 | 17 | 16 | 11 | 8 | 0.00% | 15 | 19.62 | 0 | 0 | 0 | 41 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 2 | 18 | 0 | 0 | 0.24 | 0 | 0 | ||
15 | Nico Sturm | 0 | C | 21 | 1 | 3 | 4 | -3 | 0 | 0 | 23 | 16 | 7 | 11 | 6.25% | 4 | 10.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42 | 0 | 0 | 60.87% | 92 | 7 | 1 | 0 | 0 | 0.37 | 0 | 0 | ||
16 | Alec Martinez | 0 | D | 21 | 0 | 3 | 3 | 0 | 20 | 10 | 11 | 11 | 6 | 5 | 0.00% | 29 | 19.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0 | 0 | 0.00% | 0 | 0 | 14 | 0 | 0 | 0.15 | 0 | 0 | ||
17 | Nate Schmidt | 0 | D | 21 | 1 | 2 | 3 | 3 | 5 | 5 | 14 | 12 | 8 | 8 | 8.33% | 22 | 18.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44 | 0 | 0 | 0.00% | 0 | 2 | 13 | 0 | 0 | 0.16 | 0 | 0 | ||
18 | Owen Power | 0 | D | 21 | 0 | 2 | 2 | 1 | 2 | 0 | 6 | 9 | 9 | 8 | 0.00% | 17 | 16.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 7 | 0 | 0 | 0.12 | 0 | 0 | ||
Team Total or Average | 378 | 58 | 93 | 151 | -21 | 164 | 50 | 430 | 650 | 233 | 409 | 8.92% | 230 | 16.46 | 10 | 16 | 26 | 509 | 0 | 0 | 0 | 358 | 8 | 2 | 49.67% | 1208 | 149 | 165 | 1 | 0 | 0.49 | 2 | 2 |
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 | Kevin Lankinen | 17 | 7 | 10 | 0 | 0.917 | 2.72 | 1016 | 2 | 0 | 46 | 551 | 328 | 1 | 3 | 0.000 | 0 | 17 | 4 | 0 | 0 | 3 | |
2 | John Gibson | 4 | 2 | 2 | 0 | 0.886 | 3.67 | 245 | 0 | 0 | 15 | 132 | 78 | 0 | 0 | 1.000 | 2 | 4 | 17 | 1 | 0 | 0 | |
Team Total or Average | 21 | 9 | 12 | 0 | 0.911 | 2.90 | 1261 | 2 | 0 | 61 | 683 | 406 | 1 | 3 | 1.000 | 2 | 21 | 21 | 1 | 0 | 3 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 56 | 21 | 17 | 18 | 0 | 74 | 18 | 6 | 51 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 43 | 25 | 40 | 17 | 35 | 17 | 35.7% | 8.9% | 86.5% | 95.4 | Unlucky | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 4 | 0 | 0 | 59 | 16 | 24 | 19 | 0 | 50 | 14 | 21 | 37 | 4 | 1 | 25.00% | 8 | 2 | 75.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 42 | 24 | 42 | 18 | 35 | 16 | 50.0% | 6.8% | 90.0% | 96.8 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 29 | 9 | 6 | 14 | 0 | 28 | 13 | 2 | 23 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 21 | 12 | 19 | 8 | 18 | 9 | 33.3% | 3.4% | 92.9% | 96.3 | DULL | |
4 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 10 | 10 | 0 | 4 | 0.667 | 10 | 17 | 27 | 1 | 0 | 3 | 2 | 4 | 2 | 114 | 35 | 26 | 53 | 2 | 96 | 33 | 15 | 56 | 9 | 2 | 22.22% | 5 | 2 | 60.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 72 | 44 | 60 | 24 | 52 | 27 | 50.0% | 8.8% | 89.6% | 98.4 | Unlucky | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 36 | 10 | 9 | 17 | 0 | 36 | 17 | 2 | 21 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 22 | 13 | 21 | 8 | 16 | 8 | 42.9% | 8.3% | 88.9% | 97.2 | Unlucky | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 2 | 3 | 0 | 0 | 33 | 10 | 17 | 6 | 0 | 35 | 8 | 0 | 19 | 3 | 1 | 33.33% | 0 | 0 | 0.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 22 | 13 | 20 | 8 | 17 | 9 | 66.7% | 15.2% | 94.3% | 109.4 | LUCKY | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 8 | 14 | 0 | 0 | 2 | 1 | 3 | 0 | 34 | 11 | 11 | 12 | 0 | 37 | 14 | 6 | 18 | 4 | 3 | 75.00% | 3 | 0 | 100.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 21 | 13 | 22 | 7 | 15 | 8 | 60.0% | 17.6% | 94.6% | 112.2 | LUCKY | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 6 | 11 | 0 | 0 | 1 | 2 | 2 | 0 | 31 | 9 | 14 | 8 | 0 | 33 | 17 | 10 | 16 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 22 | 14 | 22 | 8 | 14 | 6 | 66.7% | 16.1% | 90.9% | 107.0 | FUN | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 37 | 17 | 8 | 12 | 0 | 36 | 5 | 8 | 25 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 22 | 14 | 21 | 9 | 16 | 7 | 66.7% | 10.8% | 91.7% | 102.5 | LUCKY | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 20 | 6 | 8 | 6 | 0 | 38 | 10 | 18 | 22 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 17 | 8 | 23 | 10 | 18 | 9 | 25.0% | 5.0% | 92.1% | 97.1 | DULL | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 32 | 14 | 8 | 10 | 0 | 36 | 12 | 2 | 24 | 2 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 21 | 12 | 20 | 8 | 17 | 9 | 50.0% | 6.3% | 91.7% | 97.9 | DULL | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 2 | 0 | 1 | 0 | 25 | 11 | 6 | 8 | 0 | 33 | 9 | 6 | 22 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 19 | 10 | 24 | 9 | 16 | 8 | 66.7% | 12.0% | 97.0% | 109.0 | LUCKY | |
13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 2 | 0 | 2 | 0 | 63 | 30 | 12 | 21 | 0 | 60 | 24 | 20 | 42 | 6 | 1 | 16.67% | 5 | 2 | 60.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 47 | 28 | 38 | 17 | 34 | 18 | 30.0% | 6.3% | 85.0% | 91.3 | Unlucky | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 6 | 9 | 6 | 0 | 30 | 8 | 15 | 17 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 20 | 11 | 22 | 9 | 16 | 7 | 0.0% | 0.0% | 90.0% | 90.0 | Unlucky | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0.500 | 6 | 9 | 15 | 1 | 0 | 2 | 3 | 1 | 0 | 60 | 22 | 16 | 22 | 0 | 64 | 28 | 35 | 37 | 8 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 44 | 25 | 41 | 19 | 33 | 16 | 66.7% | 10.0% | 93.8% | 103.8 | LUCKY | |
_Vs Division | 10 | 4 | 5 | 0 | 0 | 0 | 1 | 0 | 30 | 33 | -3 | 10 | 0.500 | 30 | 51 | 81 | 2 | 0 | 8 | 11 | 10 | 2 | 342 | 118 | 96 | 128 | 2 | 313 | 101 | 66 | 200 | 28 | 5 | 17.86% | 23 | 7 | 69.57% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 228 | 137 | 204 | 86 | 172 | 88 | 49.0% | 8.8% | 89.5% | 98.2 | Unlucky | |
_Vs Conference | 13 | 5 | 7 | 0 | 0 | 0 | 1 | 0 | 36 | 39 | -3 | 12 | 0.462 | 36 | 59 | 95 | 2 | 0 | 10 | 12 | 13 | 2 | 428 | 152 | 116 | 160 | 2 | 410 | 135 | 76 | 269 | 36 | 6 | 16.67% | 28 | 8 | 71.43% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 291 | 173 | 268 | 113 | 224 | 115 | 49.2% | 8.4% | 90.5% | 98.9 | Unlucky | |
_Since Last GM Reset | 21 | 8 | 12 | 0 | 0 | 0 | 1 | 0 | 59 | 64 | -5 | 18 | 0.429 | 59 | 93 | 152 | 3 | 0 | 17 | 20 | 21 | 2 | 650 | 227 | 191 | 232 | 2 | 686 | 230 | 166 | 430 | 61 | 10 | 16.39% | 53 | 12 | 77.36% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 462 | 272 | 443 | 187 | 359 | 181 | 48.5% | 9.1% | 90.7% | 99.7 | FUN | |
Total | 21 | 8 | 12 | 0 | 0 | 0 | 1 | 0 | 59 | 64 | -5 | 18 | 0.429 | 59 | 93 | 152 | 3 | 0 | 17 | 20 | 21 | 2 | 650 | 227 | 191 | 232 | 2 | 686 | 230 | 166 | 430 | 61 | 10 | 16.39% | 53 | 12 | 77.36% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 462 | 272 | 443 | 187 | 359 | 181 | 48.5% | 9.1% | 90.7% | 99.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 469 |
Neutral Zone Start | 308 |
Defensive Zone Start | 429 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 600 |
Faceoffs Lost | 606 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.8 | 9.57 |
2nd Period | 19.9 | 20.31 |
3rd Period | 31.0 | 30.68 |
Overtime | 31.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 46 |
---|---|
PP Goal | 10 |
PK Goal | 0 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 4 | 5 |
Lost | 5 | 7 |
Overtime Lost | 0 | 0 |
PP Attempt | 61 |
---|---|
PP Goal | 10 |
PK Attempt | 53 |
PK Goal Against | 12 |
Home | |
---|---|
Shots For | 31.0 |
Shots Against | 32.7 |
Goals For | 2.8 |
Goals Against | 3.0 |
Hits | 20.5 |
Shots Blocked | 11.0 |
Pim | 7.9 |
Projected Total Cap Hit | 79,916,667$ |
Projected Cap Space | 2,583,333$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 20,811,650$ |
Players In Salary Cap | 21 |
LTIR Players | 0 |
Bruins Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alec Martinez ![]() | D | 35 | 5,250,000$ | 5,250,000$ | 5,250,000$ | ||||||
Andrew Copp ![]() | C/LW/RW | 28 | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | 5,625,000$ | |||
Charlie Coyle ![]() | C/RW | 30 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | ||||
Cole Caufield ![]() | LW | 21 | 880,833$ | 880,833$ | |||||||
Derek Grant ![]() | C/LW | 32 | 1,500,000$ | 1,500,000$ | |||||||
Jeremy Lauzon ![]() | D | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||
John Gibson ![]() | G | 29 | 6,400,000$ | 6,400,000$ | 6,400,000$ | 6,400,000$ | |||||
Jonathan Huberdeau ![]() | C/LW/RW | 29 | 5,900,000$ | 5,900,000$ | |||||||
Kent Johnson ![]() | C/LW | 19 | 1,850,000$ | 1,850,000$ | 1,850,000$ | ||||||
Kevin Lankinen ![]() | G | 27 | 1,500,000$ | 1,500,000$ | |||||||
Kirill Kaprizov ![]() | LW | 25 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | ||||
Lucas Raymond ![]() | LW/RW | 20 | 925,000$ | 925,000$ | 925,000$ | ||||||
Mason McTavish ![]() | C/LW | 19 | 894,167$ | 894,167$ | 894,167$ | 894,167$ | |||||
Michael Eyssimont ![]() | C/RW | 26 | 800,000$ | 800,000$ | 800,000$ | ||||||
Michael Matheson ![]() | D | 28 | 4,875,000$ | 4,875,000$ | 4,875,000$ | 4,875,000$ | 4,875,000$ | ||||
Nate Schmidt ![]() | D | 31 | 5,950,000$ | 5,950,000$ | 5,950,000$ | 5,950,000$ | |||||
Nico Sturm ![]() | C | 27 | 2,000,000$ | 2,000,000$ | 2,000,000$ | 2,000,000$ | |||||
Oliver Bjorkstrand ![]() | LW/RW | 27 | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | 5,400,000$ | ||||
Owen Power ![]() | D | 19 | 916,667$ | 916,667$ | 916,667$ | ||||||
Steven Stamkos ![]() | C/LW | 32 | 8,500,000$ | 8,500,000$ | 8,500,000$ | ||||||
Tyson Barrie ![]() | D | 31 | 4,500,000$ | 4,500,000$ | 4,500,000$ |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 2 | 2 | 1 | 0 | 56 | 21 | 17 | 18 | 0 | 74 | 18 | 6 | 51 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 43 | 25 | 40 | 17 | 35 | 17 | 35.7% | 8.9% | 86.5% | 95.4 | Unlucky | |
2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 7 | 11 | 0 | 0 | 0 | 4 | 0 | 0 | 59 | 16 | 24 | 19 | 0 | 50 | 14 | 21 | 37 | 4 | 1 | 25.00% | 8 | 2 | 75.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 42 | 24 | 42 | 18 | 35 | 16 | 50.0% | 6.8% | 90.0% | 96.8 | Unlucky | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 29 | 9 | 6 | 14 | 0 | 28 | 13 | 2 | 23 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 21 | 12 | 19 | 8 | 18 | 9 | 33.3% | 3.4% | 92.9% | 96.3 | DULL | |
4 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 10 | 10 | 0 | 4 | 0.667 | 10 | 17 | 27 | 1 | 0 | 3 | 2 | 4 | 2 | 114 | 35 | 26 | 53 | 2 | 96 | 33 | 15 | 56 | 9 | 2 | 22.22% | 5 | 2 | 60.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 72 | 44 | 60 | 24 | 52 | 27 | 50.0% | 8.8% | 89.6% | 98.4 | Unlucky | |
5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 36 | 10 | 9 | 17 | 0 | 36 | 17 | 2 | 21 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 22 | 13 | 21 | 8 | 16 | 8 | 42.9% | 8.3% | 88.9% | 97.2 | Unlucky | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 2 | 3 | 0 | 0 | 33 | 10 | 17 | 6 | 0 | 35 | 8 | 0 | 19 | 3 | 1 | 33.33% | 0 | 0 | 0.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 22 | 13 | 20 | 8 | 17 | 9 | 66.7% | 15.2% | 94.3% | 109.4 | LUCKY | |
7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 2 | 1.000 | 6 | 8 | 14 | 0 | 0 | 2 | 1 | 3 | 0 | 34 | 11 | 11 | 12 | 0 | 37 | 14 | 6 | 18 | 4 | 3 | 75.00% | 3 | 0 | 100.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 21 | 13 | 22 | 7 | 15 | 8 | 60.0% | 17.6% | 94.6% | 112.2 | LUCKY | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 6 | 11 | 0 | 0 | 1 | 2 | 2 | 0 | 31 | 9 | 14 | 8 | 0 | 33 | 17 | 10 | 16 | 3 | 1 | 33.33% | 5 | 1 | 80.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 22 | 14 | 22 | 8 | 14 | 6 | 66.7% | 16.1% | 90.9% | 107.0 | FUN | |
9 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 1 | 0 | 3 | 0 | 37 | 17 | 8 | 12 | 0 | 36 | 5 | 8 | 25 | 1 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 22 | 14 | 21 | 9 | 16 | 7 | 66.7% | 10.8% | 91.7% | 102.5 | LUCKY | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 20 | 6 | 8 | 6 | 0 | 38 | 10 | 18 | 22 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 17 | 8 | 23 | 10 | 18 | 9 | 25.0% | 5.0% | 92.1% | 97.1 | DULL | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 0 | 32 | 14 | 8 | 10 | 0 | 36 | 12 | 2 | 24 | 2 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 21 | 12 | 20 | 8 | 17 | 9 | 50.0% | 6.3% | 91.7% | 97.9 | DULL | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 2 | 0 | 1 | 0 | 25 | 11 | 6 | 8 | 0 | 33 | 9 | 6 | 22 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 19 | 10 | 24 | 9 | 16 | 8 | 66.7% | 12.0% | 97.0% | 109.0 | LUCKY | |
13 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 2 | 0 | 2 | 0 | 63 | 30 | 12 | 21 | 0 | 60 | 24 | 20 | 42 | 6 | 1 | 16.67% | 5 | 2 | 60.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 47 | 28 | 38 | 17 | 34 | 18 | 30.0% | 6.3% | 85.0% | 91.3 | Unlucky | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21 | 6 | 9 | 6 | 0 | 30 | 8 | 15 | 17 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 20 | 11 | 22 | 9 | 16 | 7 | 0.0% | 0.0% | 90.0% | 90.0 | Unlucky | |
15 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0.500 | 6 | 9 | 15 | 1 | 0 | 2 | 3 | 1 | 0 | 60 | 22 | 16 | 22 | 0 | 64 | 28 | 35 | 37 | 8 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 44 | 25 | 41 | 19 | 33 | 16 | 66.7% | 10.0% | 93.8% | 103.8 | LUCKY | |
_Vs Division | 10 | 4 | 5 | 0 | 0 | 0 | 1 | 0 | 30 | 33 | -3 | 10 | 0.500 | 30 | 51 | 81 | 2 | 0 | 8 | 11 | 10 | 2 | 342 | 118 | 96 | 128 | 2 | 313 | 101 | 66 | 200 | 28 | 5 | 17.86% | 23 | 7 | 69.57% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 228 | 137 | 204 | 86 | 172 | 88 | 49.0% | 8.8% | 89.5% | 98.2 | Unlucky | |
_Vs Conference | 13 | 5 | 7 | 0 | 0 | 0 | 1 | 0 | 36 | 39 | -3 | 12 | 0.462 | 36 | 59 | 95 | 2 | 0 | 10 | 12 | 13 | 2 | 428 | 152 | 116 | 160 | 2 | 410 | 135 | 76 | 269 | 36 | 6 | 16.67% | 28 | 8 | 71.43% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 291 | 173 | 268 | 113 | 224 | 115 | 49.2% | 8.4% | 90.5% | 98.9 | Unlucky | |
_Since Last GM Reset | 21 | 8 | 12 | 0 | 0 | 0 | 1 | 0 | 59 | 64 | -5 | 18 | 0.429 | 59 | 93 | 152 | 3 | 0 | 17 | 20 | 21 | 2 | 650 | 227 | 191 | 232 | 2 | 686 | 230 | 166 | 430 | 61 | 10 | 16.39% | 53 | 12 | 77.36% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 462 | 272 | 443 | 187 | 359 | 181 | 48.5% | 9.1% | 90.7% | 99.7 | FUN | |
Total | 21 | 8 | 12 | 0 | 0 | 0 | 1 | 0 | 59 | 64 | -5 | 18 | 0.429 | 59 | 93 | 152 | 3 | 0 | 17 | 20 | 21 | 2 | 650 | 227 | 191 | 232 | 2 | 686 | 230 | 166 | 430 | 61 | 10 | 16.39% | 53 | 12 | 77.36% | 0 | 232 | 469 | 49.47% | 216 | 429 | 50.35% | 152 | 308 | 49.35% | 462 | 272 | 443 | 187 | 359 | 181 | 48.5% | 9.1% | 90.7% | 99.7 | FUN |
Puck Time | |
---|---|
Offensive Zone | 22 |
Neutral Zone | 17 |
Defensive Zone | 21 |
Puck Time | |
---|---|
Offensive Zone Start | 469 |
Neutral Zone Start | 308 |
Defensive Zone Start | 429 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 29 |
Faceoffs | |
---|---|
Faceoffs Won | 600 |
Faceoffs Lost | 606 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 10.8 | 9.57 |
2nd Period | 19.9 | 20.31 |
3rd Period | 31.0 | 30.68 |
Overtime | 31.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 46 |
---|---|
PP Goal | 10 |
PK Goal | 0 |
Empty Net Goal | 3 |
Home | Away | |
---|---|---|
Win | 4 | 5 |
Lost | 5 | 7 |
Overtime Lost | 0 | 0 |
PP Attempt | 61 |
---|---|
PP Goal | 10 |
PK Attempt | 53 |
PK Goal Against | 12 |
Home | |
---|---|
Shots For | 31.0 |
Shots Against | 32.7 |
Goals For | 2.8 |
Goals Against | 3.0 |
Hits | 20.5 |
Shots Blocked | 11.0 |
Pim | 7.9 |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-10-07 | @ | Blackhawks3,Bruins1 | RECAP | ||
2023-10-10 | @ | Predators3,Bruins5 | RECAP | ||
2023-10-15 | @ | Bruins1,Sharks3 | RECAP | ||
2023-10-17 | @ | Bruins0,Kings3 | RECAP | ||
2023-10-18 | @ | Bruins3,Ducks4 | RECAP | ||
2023-10-20 | @ | Bruins5,Blackhawks1 | RECAP | ||
2023-10-22 | @ | Ducks6,Bruins2 | RECAP | ||
2023-10-24 | @ | Red Wings4,Bruins5 (SO) | RECAP | ||
2023-10-26 | @ | Panthers4,Bruins1 | RECAP | ||
2023-10-29 | @ | Maple Leafs2,Bruins5 | RECAP | ||
2023-10-31 | @ | Bruins3,Red Wings2 | RECAP | ||
2023-11-02 | @ | Bruins6,Stars2 | RECAP | ||
2023-11-05 | @ | Islanders2,Bruins1 | RECAP | ||
2023-11-07 | @ | Bruins2,Canadiens4 | RECAP | ||
2023-11-10 | @ | Bruins4,Sabres3 | RECAP | ||
2023-11-14 | @ | Canadiens1,Bruins2 | RECAP | ||
2023-11-16 | @ | Bruins3,Lightning4 | RECAP | ||
2023-11-18 | @ | Bruins3,Panthers5 | RECAP | ||
2023-11-20 | @ | Red Wings4,Bruins2 | RECAP | ||
2023-11-21 | @ | Bruins2,Rangers3 | RECAP | ||
2023-11-23 | @ | Bruins3,Blue Jackets1 | RECAP | ||
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2024-03-23 | @ | ||||
2024-03-26 | @ | ||||
2024-03-29 | @ | ||||
2024-03-31 | @ | ||||
2024-04-02 | @ | ||||
2024-04-05 | @ | ||||
2024-04-09 | @ | ||||
2024-04-11 | @ | ||||
2024-04-12 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
79,916,667$ | 0$ | 79,916,667$ | 2,583,333$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | 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 | 100$ | 60$ | 35$ | 25$ | 200$ |
Attendance | 50381 | 42122 | 16869 | 33758 | 8715 |
Attendance PCT | 93.30% | 93.60% | 93.72% | 93.77% | 96.83% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
32 | 16872 - 93.73% | 608,758$ | 5,478,820$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
79,916,667$ | 79,916,667$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
20,811,650$ | 79,916,667$ | 20,811,650$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
19,480,249$ | 142 | 416,233$ | 59,105,086$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
64,944,845$ | 79,916,667$ | -467,926,530$ | -513,391,126$ |
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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2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
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 |
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 |
---|---|---|---|---|---|
1 ballo mtl 2023 | |||||
Adam Ingram | 2022 | 63 | |||
Alex Pharand | 2023 | 101 | |||
Alexander Campbell | 2019 | 51 | |||
Andrej Sekera | Link | ||||
Antoine Keller | 2023 | 170 | |||
Antoine Roussel | Link | ||||
Arttu Karki | 2023 | 105 | |||
Cameron Crotty | |||||
Carsen Musser | 2023 | 167 | |||
Christopher Gibson | Link | ||||
David Farrance | 2017 | Link | |||
Devin Kaplan | 2022 | 78 | |||
Dustyn McFaul | |||||
Eric Ciccolini | 2019 | 205 | |||
Evan Vierling | 2020 | 104 | |||
Gage Alexander | 2021 | 143 | |||
Jake Gardiner | Link | ||||
Jakub Malek | 2021 | 93 | |||
James Malatesta | 2021 | 111 | |||
John Moore | Link | ||||
Juha Jatkola | 2023 | 103 | |||
Kaden Fulcher | Link | ||||
Kalle Kangas | 2023 | 193 | |||
Karl Henriksson | 2019 | 80 | |||
Liam Ohgren | 2022 | 20 | |||
Luca Pinelli | 2023 | 97 | |||
Lucas Mercuri | 2020 | 151 | |||
Markus Nurmi | |||||
Martin Pospisil | 2018 | 86 | |||
Mason Beaupit | 2022 | 75 | |||
Mathieu Cataford | 2023 | 65 | |||
Maveric Lamoureux | 2022 | 23 | |||
Michael Buchinger | 2022 | 76 | |||
Mike Callahan | |||||
Mikhail Abramov | 2019 | 78 | |||
Mitchell Hoelscher | |||||
Nick Capone | 2020 | 120 | |||
Niklas Kokko | 2022 | 54 | |||
Noel Hefenmayer | |||||
Olof Glifford | 2023 | 145 | |||
Owen Beckner | 2023 | 197 | |||
Ruslan Khazheyev | 2023 | 165 | |||
Ryder Donovan | 2019 | 104 | |||
Sam Harris | 2023 | 133 | |||
Sasha Mutala | 2019 | 135 | |||
Timofei Spitserov | 2020 | 204 | |||
Tomas Hamara | 2022 | 69 | |||
Viktor Persson | 2020 | 172 | |||
Vladimir Nikitin | 2023 | 177 | |||
Vladislav Yeryomenko | |||||
Will Francis | 2019 | 164 | |||
Wyatte Wylie | |||||
Yegor Naumov | 2021 | 199 | |||
Zachary Fucale | 2013 | Link |
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