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Boston Bruins 0-0-0, 0pts · 5th in Eastern |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 16 | RW | 100.00 | 64 | 32 | 92 | 86 | 71 | 91 | 88 | 80 | 58 | 91 | 77 | 79 | 79 | 73 | 72 | 0 | 78 | 90 | 28 | 10,500,000$/2yrs | |||
![]() | 14 | C/RW | 100.00 | 65 | 33 | 96 | 84 | 79 | 88 | 90 | 77 | 87 | 85 | 78 | 67 | 78 | 69 | 77 | 0 | 77 | 88 | 25 | 7,125,000$/3yrs | |||
![]() | 40 | C/LW/RW | 100.00 | 72 | 32 | 93 | 78 | 72 | 88 | 88 | 77 | 83 | 80 | 76 | 76 | 77 | 70 | 69 | 0 | 80 | 86 | 26 | 11,250,000$/7yrs | |||
![]() | 0 | C/RW | 100.00 | 58 | 34 | 92 | 77 | 86 | 85 | 87 | 75 | 62 | 76 | 79 | 60 | 77 | 68 | 67 | 0 | 84 | 84 | 25 | 6,000,000$/5yrs | |||
![]() | 22 | LW/RW | 100.00 | 65 | 31 | 93 | 82 | 63 | 85 | 90 | 75 | 59 | 73 | 83 | 56 | 79 | 66 | 65 | 0 | 80 | 84 | 24 | 7,750,000$/6yrs | |||
![]() | 77 | LW/RW | 100.00 | 59 | 32 | 84 | 82 | 74 | 85 | 89 | 73 | 57 | 78 | 77 | 51 | 75 | 64 | 62 | 0 | 78 | 83 | 23 | 7,325,000$/6yrs | |||
![]() | 27 | LW/RW | 100.00 | 58 | 33 | 87 | 74 | 77 | 82 | 90 | 69 | 57 | 64 | 82 | 56 | 76 | 66 | 65 | 0 | 80 | 80 | 24 | 2,000,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 83 | 47 | 63 | 63 | 95 | 83 | 81 | 63 | 58 | 65 | 63 | 84 | 63 | 73 | 69 | 0 | 59 | 78 | 28 | ||||
![]() | 0 | C/LW | 100.00 | 59 | 36 | 81 | 70 | 81 | 81 | 90 | 68 | 85 | 69 | 71 | 62 | 69 | 67 | 65 | 0 | 57 | 78 | 25 | 2,900,000$/1yrs | |||
![]() | 11 | C/LW | 100.00 | 67 | 37 | 85 | 72 | 72 | 84 | 83 | 65 | 61 | 71 | 69 | 57 | 67 | 65 | 64 | 0 | 79 | 78 | 24 | 5,750,000$/1yrs | |||
![]() | 25 | C/LW | 100.00 | 63 | 33 | 94 | 65 | 78 | 80 | 88 | 64 | 83 | 66 | 65 | 81 | 64 | 69 | 69 | 0 | 80 | 77 | 26 | 1,900,000$/1yrs | |||
![]() | 46 | C/RW | 100.00 | 93 | 43 | 68 | 63 | 98 | 71 | 75 | 61 | 59 | 60 | 68 | 66 | 64 | 66 | 63 | 0 | 73 | 75 | 24 | 925,000$/1yrs | |||
![]() | 43 | D | 100.00 | 57 | 34 | 84 | 87 | 68 | 98 | 88 | 73 | 30 | 92 | 71 | 59 | 72 | 68 | 75 | 0 | 79 | 91 | 25 | 7,000,000$/1yrs | |||
![]() | 26 | D | 100.00 | 72 | 33 | 75 | 81 | 82 | 95 | 88 | 69 | 30 | 84 | 72 | 67 | 70 | 67 | 71 | 0 | 63 | 88 | 25 | 10,000,000$/7yrs | |||
![]() | 60 | D | 100.00 | 67 | 32 | 87 | 67 | 69 | 92 | 88 | 67 | 30 | 72 | 69 | 80 | 68 | 66 | 65 | 0 | 80 | 82 | 24 | 1,500,000$/1yrs | |||
![]() | 0 | D | 100.00 | 83 | 40 | 76 | 59 | 80 | 91 | 87 | 63 | 30 | 68 | 59 | 76 | 61 | 78 | 76 | 0 | 64 | 79 | 31 | ||||
![]() | 28 | D | 100.00 | 82 | 33 | 89 | 61 | 84 | 92 | 85 | 61 | 30 | 66 | 58 | 77 | 59 | 67 | 66 | 0 | 74 | 78 | 25 | ||||
![]() | 0 | D | 100.00 | 68 | 34 | 85 | 62 | 70 | 89 | 86 | 61 | 30 | 66 | 57 | 72 | 59 | 66 | 65 | 0 | 80 | 76 | 25 | 3,375,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | C/LW | 100.00 | 66 | 33 | 91 | 74 | 76 | 80 | 78 | 63 | 59 | 68 | 71 | 59 | 67 | 60 | 59 | 0 | 75 | 77 | 21 | 950,000$/1yrs | |||
![]() | 21 | LW/RW | 100.00 | 70 | 34 | 84 | 65 | 69 | 76 | 89 | 64 | 55 | 63 | 69 | 55 | 66 | 65 | 64 | 0 | 68 | 74 | 24 | ||||
![]() | 5 | D | 100.00 | 59 | 32 | 96 | 60 | 73 | 82 | 85 | 56 | 30 | 63 | 57 | 67 | 56 | 67 | 66 | 0 | 45 | 73 | 25 | 1,500,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 68 | 35 | 85 | 72 | 77 | 86 | 86 | 68 | 54 | 72 | 70 | 67 | 69 | 68 | 67 | 0 | 73 | 81 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
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5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 52 | 100.00 | 77 | 93 | 80 | 84 | 86 | 84 | 87 | 89 | 92 | 88 | 87 | 69 | 73 | 0 | 79 | 89 | 25 | 2,000,000$/2yrs |
![]() | 0 | 100.00 | 74 | 86 | 77 | 79 | 85 | 83 | 85 | 87 | 91 | 86 | 85 | 66 | 70 | 0 | 73 | 86 | 24 | 4,500,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 76 | 90 | 79 | 82 | 86 | 84 | 86 | 88 | 92 | 87 | 86 | 68 | 72 | 0 | 76 | 88 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jon Cooper | 77 | 84 | 96 | 83 | 81 | 89 | 83 | CAN | 56 | 4 | 1,000,000$ |
General Manager | Pierrick Côté |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
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 |
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Projected Total Cap Hit | 0$ |
Projected Cap Space | 88,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 19 |
LTIR Players | 0 |
Bruins Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Klapka ![]() | C/RW | 24 | 925,000$ | 925,000$ | RFA | ||||||
Alexander Romanov ![]() | D | 25 | 0$ | ||||||||
Barrett Hayton ![]() | C/LW | 25 | 2,900,000$ | 2,900,000$ | |||||||
Cole Caufield ![]() | LW/RW | 24 | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | UFA | |
Cutter Gauthier ![]() | C/LW | 21 | 950,000$ | 950,000$ | RFA | ||||||
Egor Zamula ![]() | D | 25 | 1,500,000$ | 1,500,000$ | |||||||
Elias Pettersson ![]() | C/LW/RW | 26 | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | 11,250,000$ | UFA |
Gabriel Vilardi ![]() | C/RW | 25 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||
J.J. Moser ![]() | D | 25 | 3,375,000$ | 3,375,000$ | |||||||
JJ Peterka ![]() | LW/RW | 23 | 7,325,000$ | 7,325,000$ | 7,325,000$ | 7,325,000$ | 7,325,000$ | 7,325,000$ | 7,325,000$ | UFA | |
Jackson LaCombe ![]() | D | 24 | 1,500,000$ | 1,500,000$ | RFA | ||||||
Jake McCabe ![]() | D | 31 | 0$ | UFA | |||||||
Jordan Greenway ![]() | LW/RW | 28 | 0$ | UFA | |||||||
Mitchell Marner ![]() | RW | 28 | 10,500,000$ | 10,500,000$ | 10,500,000$ | UFA | |||||
Nick Suzuki ![]() | C/RW | 25 | 7,125,000$ | 7,125,000$ | 7,125,000$ | 7,125,000$ | |||||
Nils Hoglander ![]() | LW/RW | 24 | 0$ | RFA | |||||||
Pavel Dorofeyev ![]() | LW/RW | 24 | 2,000,000$ | 2,000,000$ | RFA | ||||||
Pyotr Kochetkov | G | 25 | 2,000,000$ | 2,000,000$ | 2,000,000$ | ||||||
Quinn Hughes ![]() | D | 25 | 7,000,000$ | 7,000,000$ | |||||||
Rasmus Dahlin ![]() | D | 25 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | UFA |
Ryan Poehling ![]() | C/LW | 26 | 1,900,000$ | 1,900,000$ | |||||||
Spencer Knight | G | 24 | 4,500,000$ | 4,500,000$ | RFA | ||||||
Trevor Zegras ![]() | C/LW | 24 | 5,750,000$ | 5,750,000$ | RFA |
Non-Roster | Pos | Age | Cap Hit | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 | 2032-33 |
---|---|---|---|---|---|---|---|---|---|---|---|
Akira Schmid ![]() | G | 25 | 837,500$ | 837,500$ | ![]() | ||||||
Arseni Gritsyuk ![]() | C | 25 | 925,000$ | 925,000$ | ![]() | ||||||
Ben Gleason ![]() | D | 27 | 0$ | ![]() | |||||||
Brandon Scanlin ![]() | D | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Coulson Pitre ![]() | RW | 20 | 860,000$ | 860,000$ | 860,000$ | RFA | |||||
David Jiricek ![]() | D | 21 | 918,333$ | 918,333$ | RFA | ||||||
Dylan Duke ![]() | C/LW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Easton Cowan ![]() | C/LW/RW | 20 | 935,833$ | 935,833$ | RFA | ||||||
Elias Pettersson ![]() | D | 21 | 870,000$ | 870,000$ | RFA | ||||||
Ethen Frank ![]() | C | 27 | 0$ | ![]() | |||||||
Gavin Brindley ![]() | C/RW | 20 | 950,000$ | 950,000$ | RFA | ||||||
Georgy Romanov ![]() | G | 25 | 0$ | ![]() | |||||||
Hiroki Gojsic ![]() | RW | 19 | 865,000$ | 865,000$ | 865,000$ | RFA | |||||
Hunter McKown ![]() | C | 22 | 0$ | RFA | |||||||
Ivan Morozov ![]() | C | 25 | 0$ | ![]() | |||||||
Jack Thompson ![]() | D | 23 | 0$ | RFA | |||||||
Jacob Gaucher ![]() | C | 24 | 0$ | RFA | |||||||
Jake Furlong ![]() | D | 21 | 870,833$ | 870,833$ | RFA | ||||||
Jett Luchanko ![]() | C | 18 | 975,000$ | 975,000$ | 975,000$ | ||||||
Joe Fleming ![]() | D | 21 | 0$ | RFA | |||||||
Josh Filmon ![]() | LW | 21 | 870,000$ | 870,000$ | RFA | ||||||
Liam Ohgren ![]() | LW | 21 | 886,667$ | 886,667$ | 886,667$ | RFA | |||||
Luke Toporowski ![]() | LW | 24 | 0$ | RFA | |||||||
Massimo Rizzo ![]() | C | 24 | 925,000$ | 925,000$ | RFA | ||||||
Niko Huuhtanen ![]() | RW | 21 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
Nikolai Kovalenko ![]() | RW | 25 | 0$ | ![]() | |||||||
Oscar Fisker Molgaard ![]() | C | 20 | 923,333$ | 923,333$ | 923,333$ | RFA | |||||
Pierrick Dube ![]() | RW | 24 | 0$ | RFA | |||||||
Rutger McGroarty ![]() | C/LW/RW | 21 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Ryan McAllister ![]() | C | 23 | 896,667$ | 896,667$ | RFA | ||||||
Samuel Johannesson ![]() | D | 24 | 950,000$ | 950,000$ | RFA | ||||||
Seamus Casey ![]() | D | 21 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Tomas Suchanek ![]() | G | 22 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Ty Smith ![]() | D | 25 | 0$ | ![]() | |||||||
Viktor Neuchev ![]() | LW | 21 | 870,000$ | 870,000$ | RFA | ||||||
Vladislav Firstov ![]() | LW | 23 | 0$ | RFA | |||||||
Xavier Simoneau ![]() | C/LW/RW | 24 | 0$ | RFA |
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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 |
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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 | |
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Offensive Zone | NAN |
Neutral Zone | NAN |
Defensive Zone | NAN |
Puck Time | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
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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 |
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PP Goal | 0 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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Shots For | nan |
Shots Against | nan |
Goals For | nan |
Goals Against | nan |
Hits | nan |
Shots Blocked | nan |
Pim | nan |
Date | Matchup | Result | Detail |
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
94,250,000$ | 0$ | 0$ | -6,250,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | TD Garden | |
City | Boston | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 250$ | 175$ | 100$ | 80$ | 350$ |
Attendance | 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 |
41 | 0 - 0.00% | 0$ | 0$ | 18000 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
94,250,000$ | 94,250,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 94,250,000$ | 63,044,590$ | 63,044,590$ |
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 | Ronde 8 |
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2025 | ||||||||
2026 | ||||||||
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 |
---|---|---|---|---|---|
Aiden Fink | 2023 | 177 | |||
Alexander Pelevin | 2022 | 162 | |||
Alexander Perevalov | 2022 | 37 | |||
Alfons Freij | 2024 | 43 | |||
Artur Kayumov | 2016 | 50 | 6.5 - 6.5 | ||
Artyom Shchuchinov | 2024 | 216 | |||
Billy Constantinou | 2019 | 189 | 7.0 - 4.5 | ||
Christian Humphreys | 2024 | 145 | |||
Daniil Gutik | 2019 | 188 | 7.5 - 4.5 | ||
Dmitri Rashevsky | 2020 | 95 | |||
Dmitri Sheshin | 2020 | 197 | |||
Drew Fortescue | 2023 | 86 | |||
Elliot Ekmark | 2020 | 198 | |||
Ilya Kvochko | 2022 | 188 | |||
Kirill Dolzhenkov | 2022 | 103 | |||
Kirill Steklov | 2020 | 172 | |||
Luke Reid | 2020 | 155 | |||
Mac Swanson | 2024 | 155 | |||
Maddox Fleming | 2022 | 203 | |||
Matthew Morden | 2022 | 145 | |||
Michael Gildon | 2019 | 195 | 6.0 - 5.5 | ||
Mikhail Shalagin | 2019 | 196 | 5.5 - 3.5 | ||
Miroslav Satan | 2024 | 138 | |||
Mitchell Miller | |||||
Noel Fransen | 2024 | 82 | |||
Oscar Plandowski | 2021 | 138 | |||
Pavel Tyutnev | 2020 | 165 | |||
Tyler Thorpe | 2024 | 142 | |||
Vasili Atanasov | 2024 | 207 | |||
Viktor Persson | 2020 | 160 |