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Full Scoreboard »» |
Carolina Hurricanes 0-0-0, 0pts · 11th 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 14 | C | 100.00 | 72 | 39 | 86 | 74 | 72 | 81 | 90 | 73 | 85 | 71 | 75 | 72 | 74 | 78 | 71 | 0 | 46 | 83 | 31 | 5,825,000$/4yrs | |||
![]() | 0 | C/LW | 100.00 | 59 | 42 | 88 | 76 | 78 | 81 | 83 | 74 | 71 | 73 | 68 | 65 | 74 | 78 | 71 | 0 | 27 | 82 | 30 | 4,500,000$/1yrs | |||
![]() | 0 | C | 100.00 | 68 | 39 | 85 | 67 | 77 | 83 | 88 | 69 | 87 | 72 | 68 | 82 | 66 | 85 | 79 | 0 | 26 | 82 | 35 | 5,750,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 56 | 39 | 87 | 74 | 76 | 82 | 87 | 73 | 56 | 72 | 69 | 66 | 73 | 75 | 69 | 0 | 41 | 81 | 29 | 3,900,000$/3yrs | |||
![]() | 63 | LW/RW | 100.00 | 78 | 37 | 82 | 76 | 62 | 73 | 82 | 72 | 54 | 69 | 71 | 57 | 72 | 79 | 69 | 0 | 37 | 81 | 31 | 1,000,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 70 | 41 | 83 | 69 | 79 | 82 | 87 | 68 | 56 | 67 | 74 | 62 | 71 | 79 | 73 | 0 | 37 | 80 | 31 | 4,950,000$/2yrs | |||
![]() | 42 | C | 100.00 | 53 | 42 | 92 | 71 | 84 | 74 | 67 | 74 | 82 | 69 | 74 | 60 | 74 | 63 | 62 | 0 | 47 | 80 | 21 | 894,167$/2yrs | |||
![]() | 43 | LW/RW | 100.00 | 79 | 49 | 81 | 67 | 88 | 78 | 82 | 68 | 53 | 67 | 62 | 71 | 69 | 70 | 68 | 0 | 45 | 79 | 26 | 2,500,000$/2yrs | |||
![]() | 0 | C/RW | 100.00 | 76 | 43 | 87 | 70 | 78 | 73 | 77 | 66 | 71 | 64 | 62 | 69 | 66 | 82 | 74 | 0 | 41 | 79 | 34 | 1,500,000$/2yrs | |||
![]() | 21 | LW | 100.00 | 72 | 42 | 84 | 68 | 67 | 79 | 87 | 67 | 53 | 64 | 66 | 72 | 69 | 75 | 68 | 0 | 26 | 78 | 29 | 1,500,000$/1yrs | |||
![]() | 92 | LW/RW | 100.00 | 56 | 39 | 84 | 70 | 76 | 81 | 83 | 68 | 56 | 69 | 65 | 61 | 70 | 63 | 64 | 0 | 35 | 77 | 23 | 863,333$/1yrs | |||
![]() | 76 | D | 100.00 | 84 | 45 | 75 | 72 | 85 | 87 | 89 | 71 | 30 | 74 | 69 | 80 | 56 | 71 | 67 | 0 | 44 | 84 | 27 | 5,250,000$/4yrs | |||
![]() | 17 | D | 100.00 | 81 | 45 | 75 | 73 | 71 | 89 | 83 | 72 | 30 | 78 | 70 | 66 | 53 | 65 | 63 | 0 | 42 | 83 | 23 | 714,166$/1yrs | |||
![]() | 0 | D | 100.00 | 75 | 46 | 65 | 74 | 78 | 89 | 83 | 73 | 30 | 75 | 70 | 72 | 58 | 79 | 74 | 0 | 28 | 83 | 31 | 4,800,000$/4yrs | |||
![]() | 0 | D | 100.00 | 88 | 52 | 69 | 63 | 88 | 87 | 83 | 62 | 30 | 71 | 56 | 79 | 51 | 76 | 69 | 0 | 42 | 81 | 29 | 4,100,000$/2yrs | |||
![]() | 0 | D | 100.00 | 81 | 46 | 76 | 63 | 89 | 85 | 87 | 62 | 30 | 69 | 53 | 86 | 45 | 75 | 69 | 0 | 22 | 81 | 29 | 3,000,000$/1yrs | |||
![]() | 0 | D | 100.00 | 81 | 45 | 83 | 64 | 78 | 83 | 80 | 63 | 30 | 71 | 59 | 62 | 53 | 71 | 66 | 0 | 35 | 77 | 27 | 1,850,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 0 | LW | 100.00 | 86 | 58 | 71 | 57 | 89 | 84 | 83 | 56 | 52 | 54 | 55 | 59 | 56 | 67 | 64 | 0 | 38 | 72 | 25 | 700,000$/1yrs | |||
![]() | 82 | C | 100.00 | 63 | 43 | 87 | 60 | 79 | 78 | 77 | 58 | 56 | 57 | 59 | 61 | 58 | 63 | 62 | 0 | 19 | 71 | 23 | 736,666$/1yrs | |||
![]() | 92 | LW | 100.00 | 54 | 49 | 85 | 60 | 72 | 87 | 89 | 58 | 55 | 56 | 59 | 54 | 58 | 65 | 63 | 0 | 19 | 69 | 24 | 925,000$/1yrs | |||
TEAM AVERAGE | 100.00 | 72 | 44 | 81 | 68 | 78 | 82 | 83 | 67 | 53 | 68 | 65 | 68 | 63 | 73 | 68 | 0 | 35 | 79 |
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 |
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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 | 79 | 70 | 68 | 83 | 78 | 77 | 79 | 78 | 77 | 79 | 78 | 67 | 71 | 0 | 46 | 79 | 24 | 1,150,000$/1yrs |
![]() | 33 | 100.00 | 77 | 71 | 69 | 93 | 76 | 75 | 77 | 76 | 75 | 77 | 76 | 63 | 67 | 0 | 37 | 78 | 22 | 925,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 78 | 71 | 69 | 88 | 77 | 76 | 78 | 77 | 76 | 78 | 77 | 65 | 69 | 0 | 42 | 79 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rick Bowness | 82 | 93 | 78 | 83 | 98 | 91 | 45 | CAN | 65 | 3 | 1,000,000$ |
General Manager | Mathieu Sergerie |
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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 ) |
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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. |
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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 |
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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 | 81,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 22 |
LTIR Players | 0 |
Hurricanes Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
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Adam Henrique | C | 31 | 5,825,000$ | 5,825,000$ | 5,825,000$ | 5,825,000$ | 5,825,000$ | UFA | |||
Alex Nylander ![]() | LW/RW | 23 | 863,333$ | 863,333$ | RFA | ||||||
Brady Skjei | D | 27 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||
Brett Kulak | D | 27 | 1,850,000$ | 1,850,000$ | 1,850,000$ | UFA | |||||
Connor Bunnaman ![]() | C | 23 | 736,666$ | 736,666$ | RFA | ||||||
Craig Smith | RW | 31 | 4,950,000$ | 4,950,000$ | 4,950,000$ | UFA | |||||
Evan Polei ![]() | LW | 25 | 700,000$ | 700,000$ | ![]() | ||||||
Filip Hronek ![]() | D | 23 | 714,166$ | 714,166$ | RFA | ||||||
Gabriel Vilardi ![]() | C | 21 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Jake Oettinger ![]() | G | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Joonas Donskoi | LW/RW | 29 | 3,900,000$ | 3,900,000$ | 3,900,000$ | 3,900,000$ | UFA | ||||
Josh Manson | D | 29 | 4,100,000$ | 4,100,000$ | 4,100,000$ | UFA | |||||
Kaapo Kahkonen ![]() | G | 24 | 1,150,000$ | 1,150,000$ | ![]() | ||||||
Marcus Johansson | C/LW | 30 | 4,500,000$ | 4,500,000$ | UFA | ||||||
Marcus Sorensen | LW | 29 | 1,500,000$ | 1,500,000$ | UFA | ||||||
P.K. Subban | D | 31 | 4,800,000$ | 4,800,000$ | 4,800,000$ | 4,800,000$ | 4,800,000$ | UFA | |||
Patrik Nemeth | D | 29 | 3,000,000$ | 3,000,000$ | UFA | ||||||
Rem Pitlick ![]() | LW | 24 | 925,000$ | 925,000$ | ![]() | ||||||
Travis Zajac | C | 35 | 5,750,000$ | 5,750,000$ | UFA | ||||||
Trevor Lewis | C/RW | 34 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Tyler Ennis ![]() | LW/RW | 31 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Valeri Nichushkin | LW/RW | 26 | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
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Alex Barre-Boulet ![]() | C | 23 | 759,258$ | 759,258$ | ![]() | ||||||
Alex Turcotte ![]() | C | 20 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Boris Katchouk ![]() | LW | 22 | 833,333$ | 833,333$ | RFA | ||||||
Cale Fleury ![]() | D | 22 | 771,666$ | 771,666$ | RFA | ||||||
Callum Booth ![]() | G | 23 | 750,000$ | 750,000$ | 750,000$ | ![]() | |||||
Casey Mittelstadt ![]() | C/LW/RW | 22 | 1,250,000$ | 1,250,000$ | 1,250,000$ | RFA | |||||
Conor Timmins ![]() | D | 22 | 925,000$ | 925,000$ | RFA | ||||||
Dalton Prout ![]() | D | 31 | 700,000$ | 700,000$ | UFA | ||||||
Dylan Gambrell ![]() | C | 24 | 700,000$ | 700,000$ | 700,000$ | ![]() | |||||
Emil Johansson ![]() | D | 24 | 700,000$ | 700,000$ | ![]() | ||||||
Jack Studnicka ![]() | C | 22 | 769,167$ | 769,167$ | 769,167$ | RFA | |||||
Jan Drozg ![]() | RW | 22 | 700,000$ | 700,000$ | RFA | ||||||
Jordan Bellerive ![]() | C | 21 | 733,333$ | 733,333$ | 733,333$ | RFA | |||||
Keaton Middleton ![]() | D | 23 | 700,000$ | 700,000$ | RFA | ||||||
Kieffer Bellows ![]() | LW | 22 | 894,166$ | 894,166$ | RFA | ||||||
Matthew Highmore ![]() | C | 25 | 900,000$ | 900,000$ | 900,000$ | ![]() | |||||
Noah Juulsen ![]() | D | 24 | 900,000$ | 900,000$ | ![]() | ||||||
Olivier Rodrigue ![]() | G | 20 | 795,000$ | 795,000$ | 795,000$ | 795,000$ | RFA | ||||
Phillip Di Giuseppe ![]() | LW/RW | 27 | 900,000$ | 900,000$ | 900,000$ | UFA | |||||
Pierre-Olivier Joseph ![]() | D | 21 | 863,333$ | 863,333$ | 863,333$ | RFA | |||||
Sebastian Repo ![]() | C/RW | 24 | 750,000$ | 750,000$ | ![]() | ||||||
Shane Gersich ![]() | C/LW | 24 | 700,000$ | 700,000$ | ![]() | ||||||
Spencer Martin ![]() | G | 25 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Taylor Raddysh ![]() | RW | 23 | 833,333$ | 833,333$ | RFA | ||||||
Tim Gettinger ![]() | LW/RW | 23 | 730,000$ | 730,000$ | RFA | ||||||
Tobias Geisser ![]() | D | 22 | 803,333$ | 803,333$ | RFA | ||||||
Tyler Wotherspoon ![]() | D | 28 | 700,000$ | 700,000$ | UFA | ||||||
Vitali Kravtsov ![]() | RW | 21 | 925,000$ | 925,000$ | 925,000$ | RFA |
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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 ) |
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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 |
# | 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 |
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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 |
57,333,332$ | 0$ | 0$ | 24,166,668$ |
Arena | Goal Horn | About us | |
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![]() | Name | PNC Center | |
City | Carolina | ||
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 |
57,333,332$ | 57,333,332$ | 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$ | 10 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 57,333,332$ | 42,849,264$ | 42,849,264$ |
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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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2021 | |||||||
2022 | |||||||
2023 | |||||||
2024 | |||||||
2025 |
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 |
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Adam Raska | 2020 | 180 | |||
Alec Bélanger | 2020 | 211 | |||
Alexander Holtz | 2020 | 6 | |||
Artemi Knyazev | 2019 | 67 | 6.5 - 5.5 | ||
Brett Berard | 2020 | 86 | |||
Carter Berger | 2019 | 115 | 5.5 - 4.5 | ||
Cross Hanas | 2020 | 120 | |||
Damien Giroux | 6.0 - 7.0 | ||||
David Farrance | 2017 | 92 | 6.8 - 7.7 | ||
Filip Kral | 6.0 - 4.0 | ||||
Filip Westerlund | 4.0 - 5.5 | ||||
Helge Grans | 2020 | 27 | |||
Jake Ratzlaff | 2020 | 111 | |||
Jakob Pelletier | 2019 | 28 | 8.0 - 7.5 | ||
Jan Bednar | 2020 | 82 | |||
Jett Woo | 8.0 - 8.5 | ||||
Jonatan Berggren | 6.5 - 7.5 | ||||
Jonathan Tychonick | |||||
Justin Bergeron | 2019 | 187 | |||
Kaedan Korczak | 2019 | 53 | 5.0 - 6.5 | ||
Karel Plasek | 2019 | 177 | 6.0 - 3.0 | ||
Linus Arnesson | 6B | ||||
Mark Kastelic | 2019 | 142 | |||
Matt Kessel | |||||
Matthew Gleason | 2020 | 185 | |||
Nikola Pasic | 2019 | 208 | 5.0 - 5.0 | ||
Owen Pederson | 2020 | 149 | |||
Shane Pinto | 2019 | 63 | 7.0 - 7.0 | ||
Tyler Bauer | |||||
Tyson Foerster | 2020 | 40 | |||
Zach Gallant | 4.0- 2.0 |