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Boston Bruins Team Overall:73 0-0-0, 0pts · 4th in Conférence Scotty Bowman |
# | Player | Position | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||||
0 | ![]() | RW | 6' 1" | 195 | 26 | 73 | 40 | 81 | 92 | 76 | 82 | 91 | 87 | 55 | 87 | 96 | 67 | 63 | 73 | 65 | 0 | 40 | 86 | 100.00 | 6,666,666$/3yrs | |
0 | ![]() | C | 6' 1" | 175 | 23 | 69 | 40 | 91 | 85 | 66 | 82 | 88 | 78 | 85 | 87 | 77 | 77 | 54 | 67 | 73 | 0 | 40 | 81 | 100.00 | 7,250,000$/3yrs | |
0 | ![]() | C/LW | 6' 0" | 193 | 20 | 71 | 40 | 74 | 68 | 77 | 86 | 89 | 82 | 64 | 86 | 84 | 69 | 71 | 61 | 58 | 0 | 40 | 80 | 100.00 | 3,425,000$/1yrs | |
0 | ![]() | LW | 6' 0" | 197 | 25 | 74 | 40 | 86 | 76 | 79 | 75 | 85 | 73 | 53 | 78 | 82 | 76 | 72 | 67 | 59 | 0 | 40 | 79 | 100.00 | 4,000,000$/1yrs | |
0 | ![]() | C/LW/RW | 5' 9" | 176 | 34 | 73 | 40 | 64 | 80 | 72 | 80 | 88 | 76 | 60 | 86 | 71 | 71 | 57 | 85 | 70 | 0 | 40 | 78 | 100.00 | 6,125,000$/1yrs | |
0 | ![]() | C/RW | 6' 1" | 196 | 24 | 69 | 40 | 85 | 82 | 77 | 78 | 90 | 76 | 54 | 81 | 82 | 66 | 63 | 62 | 58 | 0 | 40 | 78 | 100.00 | 2,800,000$/3yrs | |
0 | ![]() | LW | 5' 11" | 179 | 27 | 79 | 40 | 81 | 74 | 71 | 84 | 86 | 73 | 53 | 78 | 73 | 72 | 54 | 70 | 59 | 0 | 40 | 77 | 100.00 | 4,500,000$/3yrs | |
0 | ![]() | C | 6' 0" | 192 | 36 | 67 | 40 | 85 | 76 | 76 | 77 | 77 | 73 | 73 | 85 | 69 | 65 | 58 | 88 | 74 | 0 | 40 | 76 | 100.00 | 3,000,000$/1yrs | |
0 | ![]() | C/LW | 6' 4" | 199 | 25 | 73 | 40 | 88 | 74 | 74 | 74 | 90 | 71 | 68 | 82 | 71 | 71 | 56 | 69 | 59 | 0 | 40 | 76 | 100.00 | 3,500,000$/3yrs | |
0 | ![]() | C/LW/RW | 6' 2" | 207 | 23 | 68 | 40 | 84 | 74 | 81 | 69 | 79 | 64 | 74 | 74 | 68 | 75 | 54 | 59 | 58 | 0 | 40 | 73 | 100.00 | 798,000$/3yrs | |
0 | ![]() | C/LW/RW | 5' 10" | 175 | 20 | 81 | 40 | 90 | 73 | 70 | 74 | 88 | 65 | 55 | 78 | 67 | 71 | 54 | 59 | 58 | 0 | 40 | 73 | 100.00 | 1,394,167$/2yrs | |
0 | ![]() | C | 6' 1" | 185 | 21 | 72 | 64 | 79 | 73 | 71 | 74 | 83 | 65 | 71 | 76 | 68 | 74 | 83 | 59 | 58 | 0 | 40 | 73 | 100.00 | 1,775,000$/2yrs | |
0 | ![]() | C/LW/RW | 5' 8" | 153 | 24 | 76 | 40 | 82 | 70 | 60 | 75 | 85 | 64 | 55 | 76 | 67 | 73 | 54 | 62 | 58 | 0 | 40 | 72 | 100.00 | 3,100,000$/1yrs | |
0 | ![]() | C/LW | 6' 3" | 205 | 30 | 72 | 67 | 81 | 69 | 79 | 65 | 85 | 61 | 88 | 73 | 63 | 82 | 54 | 67 | 59 | 0 | 40 | 72 | 100.00 | 1,250,000$/1yrs | |
0 | ![]() | C | 5' 11" | 184 | 24 | 68 | 40 | 85 | 70 | 73 | 71 | 83 | 64 | 74 | 76 | 66 | 69 | 54 | 63 | 58 | 0 | 40 | 71 | 100.00 | 825,000$/3yrs | |
0 | ![]() | RW | 6' 2" | 205 | 24 | 86 | 67 | 86 | 70 | 80 | 66 | 74 | 60 | 52 | 70 | 66 | 68 | 54 | 56 | 58 | 0 | 40 | 70 | 100.00 | 1,137,500$/1yrs | |
0 | ![]() | C/LW | 5' 11" | 198 | 37 | 74 | 66 | 88 | 68 | 81 | 62 | 90 | 58 | 79 | 71 | 60 | 74 | 54 | 76 | 60 | 0 | 40 | 69 | 100.00 | 1,266,667$/1yrs | |
0 | ![]() | RW | 6' 2" | 225 | 35 | 82 | 76 | 90 | 61 | 91 | 57 | 88 | 59 | 53 | 72 | 61 | 71 | 54 | 81 | 60 | 0 | 40 | 69 | 100.00 | 1,750,000$/1yrs | |
0 | ![]() | C | 6' 1" | 190 | 25 | 71 | 41 | 90 | 60 | 73 | 58 | 60 | 55 | 73 | 68 | 58 | 69 | 54 | 56 | 58 | 0 | 40 | 65 | 100.00 | 925,000$/1yrs | |
0 | ![]() | LW/RW | 6' 0" | 196 | 22 | 63 | 62 | 73 | 59 | 70 | 59 | 59 | 58 | 54 | 62 | 61 | 67 | 54 | 56 | 55 | 0 | 40 | 63 | 100.00 | 871,667$/3yrs | |
0 | ![]() | LW/RW | 6' 1" | 194 | 21 | 56 | 50 | 72 | 58 | 66 | 63 | 58 | 59 | 63 | 61 | 65 | 63 | 66 | 56 | 55 | 0 | 40 | 63 | 100.00 | 925,000$/2yrs | |
0 | ![]() | C | 6' 2" | 214 | 23 | 55 | 55 | 66 | 58 | 69 | 65 | 63 | 58 | 55 | 56 | 58 | 59 | 54 | 59 | 55 | 0 | 40 | 61 | 100.00 | 925,000$/2yrs | |
0 | ![]() | D | 6' 1" | 209 | 24 | 73 | 40 | 72 | 89 | 84 | 89 | 88 | 73 | 40 | 85 | 62 | 84 | 58 | 67 | 59 | 0 | 40 | 80 | 100.00 | 4,900,000$/3yrs | |
0 | ![]() | D | 6' 7" | 244 | 31 | 68 | 40 | 81 | 90 | 93 | 92 | 91 | 70 | 40 | 83 | 64 | 75 | 58 | 86 | 70 | 0 | 40 | 79 | 100.00 | 7,875,000$/1yrs | |
0 | ![]() | D | 6' 3" | 210 | 28 | 70 | 40 | 76 | 78 | 81 | 87 | 86 | 62 | 40 | 75 | 63 | 92 | 54 | 69 | 59 | 0 | 40 | 77 | 100.00 | 5,750,000$/1yrs | |
0 | ![]() | D | 6' 3" | 207 | 28 | 73 | 40 | 91 | 79 | 80 | 88 | 90 | 63 | 40 | 76 | 62 | 88 | 57 | 73 | 68 | 0 | 40 | 77 | 100.00 | 5,300,000$/3yrs | |
0 | ![]() | D | 6' 0" | 212 | 33 | 71 | 40 | 76 | 70 | 87 | 82 | 90 | 63 | 40 | 77 | 60 | 86 | 59 | 83 | 66 | 0 | 40 | 76 | 100.00 | 3,900,000$/1yrs | |
0 | ![]() | D | 6' 0" | 195 | 23 | 86 | 40 | 82 | 72 | 78 | 87 | 90 | 60 | 40 | 74 | 60 | 88 | 54 | 60 | 58 | 0 | 40 | 76 | 100.00 | 1,000,000$/3yrs | |
0 | ![]() | D | 5' 11" | 182 | 22 | 75 | 68 | 84 | 87 | 72 | 82 | 83 | 66 | 40 | 78 | 63 | 76 | 54 | 59 | 58 | 0 | 40 | 75 | 100.00 | 1,400,000$/3yrs | |
0 | ![]() | D | 5' 11" | 190 | 27 | 80 | 70 | 79 | 73 | 77 | 78 | 91 | 61 | 40 | 75 | 61 | 83 | 54 | 62 | 58 | 0 | 40 | 74 | 100.00 | 1,000,000$/3yrs | |
0 | ![]() | D | 6' 2" | 200 | 28 | 68 | 40 | 77 | 69 | 78 | 71 | 87 | 59 | 40 | 73 | 59 | 83 | 54 | 63 | 59 | 0 | 40 | 71 | 100.00 | 1,233,333$/1yrs | |
0 | ![]() | D | 5' 9" | 176 | 24 | 67 | 40 | 89 | 75 | 72 | 70 | 82 | 58 | 40 | 72 | 58 | 83 | 54 | 60 | 58 | 0 | 40 | 71 | 100.00 | 925,000$/1yrs | |
0 | ![]() | D | 6' 1" | 201 | 25 | 69 | 40 | 86 | 77 | 80 | 67 | 60 | 56 | 40 | 72 | 58 | 79 | 54 | 56 | 58 | 0 | 40 | 70 | 100.00 | 1,137,500$/2yrs | |
0 | ![]() | D | 6' 2" | 197 | 26 | 71 | 81 | 76 | 73 | 76 | 69 | 61 | 58 | 40 | 71 | 61 | 77 | 54 | 55 | 58 | 0 | 40 | 70 | 100.00 | 1,350,000$/1yrs | |
0 | ![]() | D | 6' 3" | 205 | 21 | 55 | 54 | 67 | 60 | 68 | 67 | 64 | 59 | 40 | 60 | 57 | 65 | 54 | 55 | 53 | 0 | 40 | 62 | 100.00 | 1,296,042$/2yrs | |
0 | ![]() | D | 6' 2" | 190 | 24 | 57 | 51 | 70 | 60 | 64 | 63 | 60 | 56 | 40 | 60 | 56 | 64 | 54 | 59 | 56 | 0 | 40 | 61 | 100.00 | 925,000$/2yrs |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie | Height | Weight | Age | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | Overall | Condition | Contract |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
0 | ![]() | 6' 2" | 194 | 23 | 88 | 78 | 79 | 78 | 89 | 88 | 59 | 57 | 0 | 40 | 83 | 100.00 | 1,050,000$/1yrs | |||||||
0 | ![]() | 6' 5" | 220 | 40 | 85 | 75 | 80 | 80 | 80 | 80 | 80 | 80 | 0 | 40 | 80 | 100.00 | 2,200,000$/1yrs | |||||||
0 | ![]() | 6' 5" | 205 | 22 | 88 | 65 | 65 | 74 | 87 | 86 | 56 | 55 | 0 | 40 | 78 | 100.00 | 925,000$/2yrs | |||||||
0 | ![]() | 5' 11" | 170 | 35 | 75 | 72 | 71 | 73 | 84 | 74 | 64 | 57 | 0 | 40 | 77 | 100.00 | 750,000$/3yrs | |||||||
0 | ![]() | 6' 5" | 195 | 23 | 59 | 63 | 62 | 59 | 68 | 64 | 58 | 54 | 0 | 40 | 64 | 100.00 | 750,000$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bob Hartley | 84 | 86 | 88 | 94 | 87 | 93 | 1 | CAN | 62 | 3 | 6,300,000$ |
General Manager | Pierre-Etienne Francoeur |
---|
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 |
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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 |
# | 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 |
---|
Projected Total Cap Hit | 0$ |
Projected Cap Space | 91,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 41 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2022-2023 | 2023-2024 | 2024-2025 | 2025-2026 | 2026-2027 | 2027-2028 | 2028-2029 | 2029-2030 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Pelech ![]() | D | 28 | 5,750,000$ | 5,750,000$ | |||||||
Akira Schmid ![]() | RW | 22 | 925,000$ | 925,000$ | 925,000$ | ||||||
Alex Stalock ![]() | C | 35 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Anton Lundell ![]() | C | 21 | 1,775,000$ | 1,775,000$ | 1,775,000$ | ||||||
Artturi Lehkonen ![]() | LW | 27 | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | |||||
Brad Marchand ![]() | C/LW/RW | 34 | 6,125,000$ | 6,125,000$ | |||||||
Charlie McAvoy ![]() | D | 24 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | |||||
Connor Clifton ![]() | D | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Connor MacKey ![]() | D | 26 | 1,350,000$ | 1,350,000$ | |||||||
David Krejci ![]() | C | 36 | 3,000,000$ | 3,000,000$ | |||||||
David Pastrnak ![]() | RW | 26 | 6,666,666$ | 6,666,666$ | 6,666,666$ | 6,666,666$ | |||||
Ilya Lyubushkin ![]() | D | 28 | 1,350,000$ | 1,350,000$ | |||||||
Ivan Prosvetov ![]() | D | 23 | 750,000$ | 750,000$ | 750,000$ | 750,000$ | |||||
Jaccob Slavin ![]() | D | 28 | 5,300,000$ | 5,300,000$ | 5,300,000$ | 5,300,000$ | |||||
Jacob Bryson ![]() | D | 24 | 925,000$ | 925,000$ | |||||||
Jake Debrusk ![]() | LW | 25 | 4,000,000$ | 4,000,000$ | |||||||
Jakub Lauko ![]() | LW/RW | 22 | 871,667$ | 871,667$ | 871,667$ | 871,667$ | |||||
Jakub Zboril ![]() | D | 25 | 1,137,500$ | 1,137,500$ | 1,137,500$ | ||||||
Jeremy Swayman ![]() | C | 23 | 1,050,000$ | 1,050,000$ | |||||||
Jordan Kyrou ![]() | C/RW | 24 | 2,800,000$ | 2,800,000$ | 2,800,000$ | 2,800,000$ | |||||
Kailer Yamamoto ![]() | C/LW/RW | 24 | 3,100,000$ | 3,100,000$ | |||||||
Kevin Shattenkirk ![]() | D | 33 | 3,900,000$ | 3,900,000$ | |||||||
Mike Smith ![]() | D | 40 | 2,200,000$ | 2,200,000$ | |||||||
Mikey Anderson ![]() | D | 23 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | |||||
Nico Hischier ![]() | C | 23 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | |||||
Pavel Dorofeyev ![]() | LW/RW | 21 | 925,000$ | 925,000$ | 925,000$ | ||||||
Pavel Zacha ![]() | C/LW | 25 | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | |||||
Pierre-Edouard Bellemare ![]() | C/LW | 37 | 1,000,000$ | 1,000,000$ | |||||||
Rasmus Sandin ![]() | D | 22 | 1,400,000$ | 1,400,000$ | 1,400,000$ | 1,400,000$ | |||||
Robin Salo ![]() | D | 24 | 925,000$ | 925,000$ | 925,000$ | ||||||
Ryan McLeod ![]() | C/LW/RW | 23 | 798,000$ | 798,000$ | 798,000$ | 798,000$ | |||||
Ryan Reaves ![]() | RW | 35 | 1,750,000$ | 1,750,000$ | |||||||
Sam Steel ![]() | C | 24 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | |||||
Scott Reedy ![]() | C | 23 | 925,000$ | 925,000$ | 925,000$ | ||||||
Seth Jarvis ![]() | C/LW/RW | 20 | 1,394,167$ | 1,394,167$ | 1,394,167$ | ||||||
Tanner Laczynski ![]() | C | 25 | 925,000$ | 925,000$ | |||||||
Thomas Harley ![]() | D | 21 | 1,288,333$ | 1,288,333$ | 1,288,333$ | ||||||
Tim Stutzle ![]() | C/LW | 20 | 3,425,000$ | 3,425,000$ | |||||||
Tomas Nosek ![]() | C/LW | 30 | 1,250,000$ | 1,250,000$ | |||||||
Victor Hedman ![]() | D | 31 | 7,875,000$ | 7,875,000$ | |||||||
Wade Allison ![]() | RW | 24 | 1,137,500$ | 1,137,500$ |
Forward Lines | |||||||
---|---|---|---|---|---|---|---|
Defensive Pairings | |||||||
---|---|---|---|---|---|---|---|
1st Power Play Unit | |||||||
---|---|---|---|---|---|---|---|
2nd Power Play Unit | |||||||
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Goalies | |||||||
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | nan% | nan% | nan% | nan | Unlucky |
Puck Time | |
---|---|
Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
---|---|
Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
---|---|
With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
---|---|
Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | nan | 9.57 |
2nd Period | nan | 20.31 |
3rd Period | nan | 30.68 |
Overtime | nan | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | nan | 0.64 |
2nd Period | nan | 1.65 |
3rd Period | nan | 2.67 |
Overtime | nan | 2.83 |
Even Strenght Goal | 0 |
---|---|
PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
---|---|
PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
---|---|
Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail | ||
---|---|---|---|---|---|
2023-10-14 | @ | ||||
2023-10-15 | @ | ||||
2023-10-16 | @ | ||||
2023-10-18 | @ | ||||
2023-10-19 | @ | ||||
2023-10-20 | @ | ||||
2023-10-21 | @ | ||||
2023-10-23 | @ | ||||
2023-10-24 | @ | ||||
2023-10-25 | @ |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
106,318,833$ | 0$ | 0$ | 91,500,000$ |
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 | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
5 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
106,318,833$ | 101,876,542$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 15 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 10,000,000$ | 10,000,000$ |
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DEFENSE | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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 Engstrom | |||||
Aku Koskenvuo | |||||
Anttoni Honka | |||||
Ben Boyd | |||||
Brandt Clarke | |||||
Brett Berard | |||||
Brett Harrison | |||||
Carson Lambos | |||||
Cole Spicer | |||||
Connor McClennon | |||||
Dans Locmelis | |||||
Dmitri Buchelnikov | |||||
Fabian Lysell | |||||
Gavin White | |||||
Jack Bar | |||||
Jiri Kulich | |||||
John Beecher | |||||
Kirill Marchenko | |||||
Liam Ohgren | |||||
Marcus Kallionkieli | |||||
Mason Lohrei | |||||
Matthew Poitras | |||||
Matyas Sapovaliv | |||||
Mitchell Miller | |||||
Olivier Nadeau | |||||
Oscar Jellvik | |||||
Owen Zellweger | |||||
Patrik Puistola | |||||
Pavel Novak | |||||
Ryan Francis | |||||
Ryan Mast | |||||
Sergei Ivanov | |||||
Tyler Tullio |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 |
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 Engstrom | |||||
Aku Koskenvuo | |||||
Anttoni Honka | |||||
Ben Boyd | |||||
Brandt Clarke | |||||
Brett Berard | |||||
Brett Harrison | |||||
Carson Lambos | |||||
Cole Spicer | |||||
Connor McClennon | |||||
Dans Locmelis | |||||
Dmitri Buchelnikov | |||||
Fabian Lysell | |||||
Gavin White | |||||
Jack Bar | |||||
Jiri Kulich | |||||
John Beecher | |||||
Kirill Marchenko | |||||
Liam Ohgren | |||||
Marcus Kallionkieli | |||||
Mason Lohrei | |||||
Matthew Poitras | |||||
Matyas Sapovaliv | |||||
Mitchell Miller | |||||
Olivier Nadeau | |||||
Oscar Jellvik | |||||
Owen Zellweger | |||||
Patrik Puistola | |||||
Pavel Novak | |||||
Ryan Francis | |||||
Ryan Mast | |||||
Sergei Ivanov | |||||
Tyler Tullio |