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Full Scoreboard »» |
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Full Scoreboard »» |
Winnipeg Jets 0-0-0, 0pts · 12th in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 21 | C | 100.00 | 57 | 34 | 95 | 83 | 70 | 89 | 90 | 82 | 80 | 78 | 89 | 60 | 85 | 74 | 74 | 0 | 45 | 89 | 29 | 9,000,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 64 | 34 | 82 | 73 | 79 | 87 | 90 | 69 | 59 | 75 | 71 | 66 | 70 | 79 | 77 | 0 | 46 | 81 | 31 | 9,500,000$/3yrs | |||
![]() | 0 | LW | 100.00 | 81 | 36 | 81 | 71 | 83 | 83 | 90 | 69 | 55 | 69 | 73 | 65 | 71 | 63 | 61 | 0 | 47 | 80 | 22 | 925,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 70 | 33 | 83 | 72 | 77 | 84 | 90 | 70 | 58 | 70 | 73 | 57 | 71 | 64 | 62 | 0 | 31 | 79 | 23 | 3,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 62 | 33 | 95 | 65 | 77 | 81 | 90 | 64 | 57 | 64 | 68 | 64 | 66 | 76 | 76 | 0 | 46 | 76 | 30 | 4,750,000$/2yrs | |||
![]() | 10 | C/RW | 100.00 | 69 | 33 | 91 | 60 | 80 | 79 | 88 | 63 | 62 | 63 | 66 | 61 | 64 | 73 | 73 | 0 | 45 | 74 | 28 | 1,250,000$/1yrs | |||
![]() | 0 | C | 100.00 | 66 | 33 | 93 | 62 | 77 | 73 | 78 | 59 | 76 | 57 | 70 | 55 | 65 | 73 | 72 | 0 | 47 | 73 | 28 | 900,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 57 | 38 | 95 | 56 | 77 | 69 | 68 | 67 | 50 | 62 | 56 | 71 | 59 | 75 | 75 | 0 | 33 | 73 | 29 | 775,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 62 | 31 | 90 | 58 | 57 | 76 | 76 | 61 | 60 | 60 | 64 | 56 | 62 | 69 | 68 | 0 | 46 | 71 | 26 | 1,500,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 79 | 32 | 94 | 61 | 74 | 74 | 71 | 57 | 55 | 62 | 59 | 57 | 58 | 60 | 59 | 0 | 36 | 71 | 21 | 950,000$/2yrs | |||
![]() | 0 | LW | 100.00 | 74 | 35 | 92 | 58 | 75 | 72 | 83 | 56 | 77 | 58 | 58 | 58 | 57 | 68 | 67 | 0 | 32 | 70 | 26 | 900,000$/2yrs | |||
![]() | 0 | C | 100.00 | 69 | 32 | 92 | 56 | 71 | 74 | 69 | 59 | 57 | 59 | 62 | 55 | 60 | 67 | 66 | 0 | 54 | 70 | 25 | 925,000$/1yrs | |||
![]() | 98 | D | 99.00 | 66 | 33 | 85 | 74 | 84 | 97 | 82 | 69 | 30 | 77 | 66 | 81 | 67 | 70 | 69 | 0 | 45 | 85 | 26 | 8,500,000$/7yrs | |||
![]() | 6 | D | 100.00 | 66 | 34 | 75 | 66 | 86 | 92 | 89 | 60 | 30 | 70 | 71 | 64 | 65 | 70 | 68 | 0 | 46 | 79 | 27 | 4,600,000$/1yrs | |||
![]() | 0 | D | 100.00 | 69 | 33 | 90 | 58 | 77 | 87 | 86 | 56 | 30 | 62 | 56 | 64 | 56 | 68 | 67 | 0 | 46 | 73 | 25 | 3,750,000$/1yrs | |||
![]() | 0 | D | 100.00 | 68 | 36 | 88 | 55 | 76 | 84 | 87 | 55 | 30 | 63 | 57 | 64 | 56 | 82 | 81 | 0 | 46 | 73 | 33 | 5,950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 76 | 33 | 79 | 55 | 79 | 81 | 81 | 53 | 30 | 61 | 59 | 59 | 56 | 79 | 77 | 0 | 46 | 72 | 32 | 1,900,000$/1yrs | |||
![]() | 0 | D | 100.00 | 74 | 58 | 56 | 55 | 99 | 81 | 79 | 54 | 30 | 61 | 54 | 66 | 54 | 70 | 65 | 0 | 46 | 72 | 26 | 1,000,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | RW | 100.00 | 92 | 33 | 86 | 55 | 81 | 75 | 78 | 59 | 59 | 61 | 59 | 80 | 59 | 88 | 87 | 0 | 19 | 75 | 37 | 1,700,000$/2yrs | |||
![]() | 23 | RW | 100.00 | 66 | 38 | 86 | 65 | 70 | 72 | 60 | 63 | 50 | 58 | 58 | 65 | 66 | 67 | 68 | 0 | 19 | 72 | 26 | 800,000$/1yrs | |||
![]() | 0 | C/LW/RW | 100.00 | 66 | 32 | 93 | 55 | 71 | 74 | 72 | 56 | 75 | 58 | 58 | 60 | 57 | 69 | 69 | 0 | 20 | 69 | 26 | 2,500,000$/1yrs | |||
TEAM AVERAGE | 99.95 | 69 | 35 | 87 | 63 | 77 | 80 | 81 | 62 | 53 | 64 | 64 | 63 | 63 | 72 | 71 | 0 | 40 | 75 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 84 | 95 | 83 | 89 | 87 | 79 | 88 | 92 | 88 | 93 | 88 | 69 | 74 | 0 | 50 | 90 | 26 | 5,000,000$/4yrs |
Scratches | ||||||||||||||||||||
![]() | 0 | 98.00 | 72 | 71 | 70 | 85 | 74 | 69 | 77 | 80 | 77 | 80 | 77 | 75 | 79 | 0 | 42 | 80 | 30 | 4,000,000$/1yrs |
![]() | 0 | 100.00 | 74 | 74 | 71 | 89 | 61 | 77 | 73 | 74 | 77 | 78 | 75 | 58 | 66 | 0 | 50 | 78 | 20 | 878,333$/3yrs |
TEAM AVERAGE | 99.33 | 77 | 80 | 75 | 88 | 74 | 75 | 79 | 82 | 81 | 84 | 80 | 67 | 73 | 0 | 47 | 83 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Craig Berube | 83 | 84 | 88 | 76 | 75 | 85 | 79 | CAN | 57 | 5 | 1,000,000$ |
General Manager | Nathan Mourot |
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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 |
---|---|---|
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 | 25 |
LTIR Players | 0 |
Jets Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
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Adam Gaudette ![]() | C | 28 | 900,000$ | 900,000$ | UFA | ||||||
Alexis Lafreniere ![]() | LW | 23 | 3,000,000$ | 3,000,000$ | 3,000,000$ | RFA | |||||
Brayden Point ![]() | C | 29 | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA | ||||
Cal Clutterbuck ![]() | RW | 37 | 1,700,000$ | 1,700,000$ | 1,700,000$ | UFA | |||||
Colin Miller ![]() | D | 32 | 1,900,000$ | 1,900,000$ | UFA | ||||||
Damian Clara ![]() | G | 20 | 878,333$ | 878,333$ | 878,333$ | 878,333$ | RFA | ||||
Dillon Dube ![]() | C/LW/RW | 26 | 2,500,000$ | 2,500,000$ | |||||||
Gage Quinney ![]() | C/LW/RW | 29 | 775,000$ | 775,000$ | UFA | ||||||
Henri Jokiharju ![]() | D | 25 | 3,750,000$ | 3,750,000$ | |||||||
Ilya Mikheyev ![]() | LW/RW | 30 | 4,750,000$ | 4,750,000$ | 4,750,000$ | UFA | |||||
Ivan Miroshnichenko ![]() | LW | 21 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Jakob Chychrun ![]() | D | 27 | 4,600,000$ | 4,600,000$ | |||||||
Jonathan Huberdeau ![]() | LW | 31 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA | ||||
Kailer Yamamoto ![]() | RW | 26 | 1,500,000$ | 1,500,000$ | |||||||
Kyle MacLean ![]() | LW | 26 | 900,000$ | 900,000$ | 900,000$ | ||||||
Linus Karlsson ![]() | C | 25 | 925,000$ | 925,000$ | |||||||
Logan Stanley ![]() | D | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
Matthew Knies ![]() | LW | 22 | 925,000$ | 925,000$ | RFA | ||||||
Michael Amadio ![]() | C/RW | 28 | 1,250,000$ | 1,250,000$ | UFA | ||||||
Mikhail Sergachev ![]() | D | 26 | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA |
Nate Schmidt ![]() | D | 33 | 5,950,000$ | 5,950,000$ | UFA | ||||||
Ukko-Pekka Luukkonen ![]() | G | 26 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Ville Husso | G | 30 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Will Bitten ![]() | RW | 26 | 800,000$ | 800,000$ |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Ales Stezka ![]() | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
Alex Laferriere ![]() | RW | 23 | 875,000$ | 875,000$ | RFA | ||||||
Brogan Rafferty ![]() | D | 29 | 800,000$ | 800,000$ | UFA | ||||||
Cole Bardreau ![]() | C | 31 | 775,000$ | 775,000$ | UFA | ||||||
Dylan Ferguson ![]() | G | 26 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Dylan McIlrath ![]() | D | 33 | 800,000$ | 800,000$ | UFA | ||||||
Eduard Sale ![]() | RW | 20 | 775,000$ | 775,000$ | RFA | ||||||
Erik Kallgren ![]() | G | 28 | 775,000$ | 775,000$ | UFA | ||||||
Ethan Prow ![]() | D | 32 | 775,000$ | 775,000$ | UFA | ||||||
Fabian Lysell ![]() | RW | 22 | 894,167$ | 894,167$ | RFA | ||||||
Fyodor Svechkov ![]() | C | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Gage Alexander ![]() | G | 22 | 0$ | RFA | |||||||
Givani Smith ![]() | LW/RW | 27 | 800,000$ | 800,000$ | ![]() | ||||||
Jayson Megna ![]() | C | 35 | 775,000$ | 775,000$ | UFA | ||||||
Josh Maniscalco ![]() | D | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Kaden Fulcher ![]() | G | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Kevin Hancock ![]() | LW | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Kirill Tyutyayev ![]() | LW | 24 | 0$ | RFA | |||||||
Lucas Johansen ![]() | D | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Magnus Hellberg ![]() | G | 34 | 775,000$ | 775,000$ | UFA | ||||||
Matt Martin ![]() | LW/RW | 35 | 2,000,000$ | 2,000,000$ | UFA | ||||||
Matthew Strome ![]() | LW | 26 | 775,000$ | 775,000$ | ![]() | ||||||
Michal Teply ![]() | RW | 23 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Miko Matikka ![]() | C/LW/RW | 21 | 0$ | RFA | |||||||
Nils Aman ![]() | C | 25 | 950,000$ | 950,000$ | 950,000$ | ![]() | |||||
Robin Lehner ![]() | G | 33 | 5,000,000$ | 5,000,000$ | UFA | ||||||
Sam Dickinson ![]() | D | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
Tobie Paquette-Bisson ![]() | D | 28 | 775,000$ | 775,000$ | UFA | ||||||
Tuukka Tieksola ![]() | RW | 23 | 0$ | RFA | |||||||
Vasili Ponomaryov ![]() | C | 23 | 795,000$ | 795,000$ | RFA | ||||||
Ville Heinola ![]() | D | 24 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Zack MacEwen ![]() | C/RW | 28 | 775,000$ | 775,000$ | 775,000$ | 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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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 |
74,953,333$ | 0$ | 0$ | 13,046,667$ |
Arena | Goal Horn | About us | |
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![]() | Name | Bell MTS Centre | |
City | Winnipeg | ||
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 |
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 |
74,953,333$ | 74,953,333$ | 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$ | 12 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 74,953,333$ | 72,456,463$ | 72,456,463$ |
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 |
---|---|---|---|---|---|
Abram Wiebe | 2022 | 222 | |||
Artur Cholach | 2021 | 206 | |||
Austin Burnevik | 2024 | 199 | |||
Ben Brinkman | 2019 | 167 | |||
Carter Yakemchuk | 2024 | 12 | |||
David Ma | 2020 | 169 | |||
Kalle Loponen | 2019 | 213 | 5.5 - 3.5 | ||
Lucas Mercuri | |||||
Lucas Ramberg | 2020 | 189 | |||
Matthew Wood | 2023 | 14 | |||
Nathan Villeneuve | 2024 | 74 | |||
Ryan Leonard | 2023 | 7 | |||
Stepan Zvyagin | 2023 | 210 | |||
Trevor Hoskin | 2024 | 135 | |||
Valentin Nussbaumer | 2019 | 190 |