

































Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C | 100.00 | 65 | 37 | 91 | 74 | 86 | 90 | 80 | 78 | 92 | 79 | 77 | 85 | 76 | 78 | 80 | 0 | 80 | 30 | 7,894,889$/9yrs | |||||
![]() | C | 100.00 | 65 | 36 | 78 | 85 | 77 | 90 | 88 | 78 | 86 | 79 | 77 | 68 | 79 | 70 | 83 | 0 | 79 | 26 | 7,903,200$/10yrs | |||||
![]() | LW/RW | 100.00 | 70 | 58 | 79 | 73 | 77 | 90 | 81 | 75 | 60 | 78 | 84 | 71 | 73 | 68 | 70 | 0 | 78 | 28 | 3,408,500$/2yrs | |||||
![]() | LW/RW | 100.00 | 57 | 34 | 90 | 77 | 68 | 88 | 82 | 76 | 69 | 78 | 71 | 85 | 72 | 80 | 73 | 0 | 78 | 33 | 5,219,500$/2yrs | |||||
![]() | LW | 100.00 | 58 | 35 | 89 | 82 | 74 | 85 | 81 | 76 | 59 | 73 | 82 | 62 | 79 | 68 | 71 | 0 | 76 | 27 | 3,835,333$/3yrs | |||||
![]() | LW/RW | 100.00 | 83 | 36 | 74 | 72 | 88 | 84 | 83 | 69 | 62 | 77 | 71 | 64 | 67 | 66 | 68 | 0 | 76 | 27 | 3,906,800$/5yrs | |||||
![]() | LW/RW | 100.00 | 67 | 35 | 92 | 72 | 76 | 85 | 90 | 73 | 58 | 71 | 74 | 64 | 73 | 68 | 70 | 0 | 74 | 27 | 4,441,666$/3yrs | |||||
![]() | C/RW | 100.00 | 71 | 40 | 84 | 66 | 85 | 84 | 83 | 65 | 78 | 69 | 64 | 80 | 65 | 69 | 71 | 0 | 74 | 29 | 2,409,500$/2yrs | |||||
![]() | C/LW | 100.00 | 73 | 36 | 91 | 69 | 78 | 83 | 85 | 69 | 82 | 70 | 67 | 64 | 73 | 76 | 66 | 0 | 73 | 35 | 2,659,500$/2yrs | |||||
![]() | C | 100.00 | 64 | 33 | 87 | 74 | 63 | 80 | 88 | 69 | 83 | 67 | 63 | 74 | 68 | 65 | 66 | 0 | 72 | 25 | 2,241,667$/3yrs | |||||
![]() | C | 100.00 | 81 | 40 | 89 | 62 | 90 | 83 | 80 | 63 | 73 | 61 | 64 | 65 | 63 | 65 | 66 | 0 | 71 | 24 | 1,775,000$/2yrs | |||||
![]() | D | 100.00 | 79 | 82 | 68 | 75 | 91 | 94 | 86 | 72 | 30 | 78 | 76 | 88 | 59 | 70 | 68 | 0 | 81 | 28 | 8,514,556$/9yrs | |||||
![]() | D | 100.00 | 66 | 39 | 73 | 75 | 84 | 94 | 86 | 74 | 30 | 78 | 76 | 72 | 61 | 66 | 67 | 0 | 78 | 25 | 3,756,750$/4yrs | |||||
![]() | D | 100.00 | 73 | 38 | 88 | 70 | 72 | 88 | 89 | 68 | 30 | 75 | 65 | 69 | 55 | 73 | 68 | 0 | 74 | 28 | 2,153,000$/3yrs | |||||
![]() | D | 100.00 | 64 | 36 | 87 | 62 | 81 | 89 | 87 | 59 | 30 | 72 | 57 | 82 | 51 | 76 | 72 | 0 | 73 | 33 | 3,421,000$/1yrs | |||||
![]() | D | 100.00 | 79 | 54 | 75 | 60 | 88 | 86 | 82 | 59 | 30 | 70 | 58 | 75 | 50 | 65 | 66 | 0 | 72 | 27 | 1,442,188$/2yrs | |||||
![]() | D | 100.00 | 72 | 36 | 84 | 67 | 79 | 95 | 89 | 65 | 30 | 73 | 56 | 67 | 50 | 67 | 66 | 0 | 72 | 27 | 3,764,631$/4yrs | |||||
![]() | D | 100.00 | 56 | 33 | 84 | 73 | 66 | 86 | 78 | 67 | 30 | 71 | 55 | 72 | 50 | 65 | 64 | 0 | 70 | 24 | 834,500$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | C/LW/RW | 100.00 | 72 | 36 | 87 | 65 | 66 | 82 | 77 | 67 | 72 | 66 | 62 | 68 | 63 | 69 | 71 | 0 | 70 | 28 | 903,000$/2yrs | |||||
![]() | LW/RW | 100.00 | 71 | 77 | 58 | 61 | 80 | 76 | 81 | 59 | 56 | 62 | 57 | 63 | 59 | 64 | 66 | 0 | 67 | 26 | 837,500$/2yrs | |||||
![]() | D | 100.00 | 62 | 39 | 87 | 65 | 72 | 80 | 78 | 63 | 30 | 68 | 62 | 64 | 53 | 65 | 67 | 0 | 69 | 25 | 883,000$/2yrs | |||||
TEAM AVERAGE | 100.00 | 69 | 42 | 83 | 70 | 78 | 86 | 84 | 69 | 56 | 72 | 68 | 72 | 64 | 69 | 69 | 0 | 74 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 93 | 94 | 90 | 77 | 92 | 91 | 93 | 92 | 91 | 93 | 92 | 66 | 75 | 0 | 90 | 27 | 2,768,750$/4yrs | |
![]() | 0 | 100.00 | 82 | 94 | 88 | 74 | 81 | 80 | 82 | 81 | 80 | 82 | 81 | 73 | 77 | 0 | 82 | 28 | 4,877,000$/4yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 88 | 94 | 89 | 76 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 70 | 76 | 0 | 86 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Alain Vigneault | 79 | 74 | 77 | 80 | 91 | 84 | 55 | CAN | 61 | 4 | 0$ |
General Manager | Jean-Luc Alluisi |
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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 |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG |
---|
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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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 |
![]() | |
Projected Total Cap Hit | 0$ |
Projected Cap Space | 82,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 23 |
Contracts | 52/50 |
LTIR Players | 0 |
Red Wings Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Blake Lizotte ![]() | C | 25 | 2,241,667$ | 3,375,000$ | 1,675,000$ | 1,675,000$ | UFA | ||||
Brandon Duhaime ![]() | LW/RW | 26 | 837,500$ | 925,000$ | 750,000$ | UFA | |||||
Calvin Petersen ![]() | G | 28 | 4,877,000$ | 4,508,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||
Danny DeKeyser ![]() | D | 33 | 3,421,000$ | 3,421,000$ | UFA | ||||||
Darnell Nurse ![]() | D | 28 | 8,514,556$ | 2,631,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ | 9,250,000$ |
Derick Brassard ![]() | C/LW | 35 | 2,659,500$ | 4,569,000$ | 750,000$ | UFA | |||||
Dominik Kubalik ![]() | LW/RW | 27 | 4,441,666$ | 8,325,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
Drake Caggiula ![]() | C/LW/RW | 28 | 903,000$ | 1,056,000$ | 750,000$ | UFA | |||||
Dylan Larkin ![]() | C | 26 | 7,903,200$ | 3,332,000$ | 6,100,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ |
Gustav Nyquist ![]() | LW/RW | 33 | 5,219,500$ | 4,939,000$ | 5,500,000$ | UFA | |||||
Jakob Chychrun ![]() | D | 25 | 3,756,750$ | 1,227,000$ | 4,600,000$ | 4,600,000$ | 4,600,000$ | UFA | |||
Jakub Vrana ![]() | LW | 27 | 3,835,333$ | 1,006,000$ | 5,250,000$ | 5,250,000$ | UFA | ||||
Lucas Carlsson ![]() | D | 25 | 883,000$ | 966,000$ | 800,000$ | ![]() | |||||
Marcus Pettersson ![]() | D | 27 | 3,764,631$ | 2,983,000$ | 4,025,175$ | 4,025,175$ | 4,025,175$ | UFA | |||
Mason Marchment ![]() | LW/RW | 27 | 3,906,800$ | 1,534,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA | ||
Morgan Barron ![]() | C | 24 | 1,775,000$ | 1,775,000$ | 1,775,000$ | ![]() | |||||
Niko Mikkola ![]() | D | 27 | 1,442,188$ | 984,375$ | 1,900,000$ | UFA | |||||
Oskar Sundqvist ![]() | C/RW | 29 | 2,409,500$ | 2,069,000$ | 2,750,000$ | UFA | |||||
Sean Couturier ![]() | C | 30 | 7,894,889$ | 9,054,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ | 7,750,000$ |
Sean Walker ![]() | D | 28 | 2,153,000$ | 1,159,000$ | 2,650,000$ | 2,650,000$ | UFA | ||||
Tyler Bertuzzi ![]() | LW/RW | 28 | 3,408,500$ | 2,067,000$ | 4,750,000$ | UFA | |||||
Victor Mete ![]() | D | 24 | 834,500$ | 919,000$ | 750,000$ | ![]() | |||||
Vitek Vanecek ![]() | G | 27 | 2,768,750$ | 875,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Angello ![]() | RW | 27 | 852,000$ | 954,000$ | 750,000$ | UFA | |||||
Brian Pinho ![]() | C | 28 | 854,000$ | 958,000$ | 750,000$ | UFA | |||||
Cameron Hughes ![]() | C | 26 | 788,000$ | 839,000$ | 762,500$ | 762,500$ | UFA | ||||
Chase Priskie ![]() | D | 27 | 1,287,500$ | 1,775,000$ | 800,000$ | UFA | |||||
Christopher Wilkie ![]() | RW | 26 | 925,000$ | 925,000$ | ![]() | ||||||
Collin Adams ![]() | LW | 25 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Daniel Walcott ![]() | LW | 29 | 825,500$ | 901,000$ | 750,000$ | UFA | |||||
Dylan Sikura ![]() | C | 27 | 945,500$ | 1,141,000$ | 750,000$ | UFA | |||||
Filip Berglund ![]() | D | 26 | 925,000$ | 925,000$ | ![]() | ||||||
Hunter Drew ![]() | D | 24 | 793,333$ | 793,333$ | 793,333$ | ![]() | |||||
Hunter Miska ![]() | G | 27 | 1,019,000$ | 1,019,000$ | UFA | ||||||
Hunter Shepard ![]() | G | 27 | 925,000$ | 1,100,000$ | 750,000$ | UFA | |||||
Jacob Peterson ![]() | C | 23 | 925,000$ | 925,000$ | 925,000$ | ![]() | |||||
James Hamblin ![]() | LW | 24 | 788,333$ | 750,000$ | 807,500$ | 807,500$ | ![]() | ||||
Jeff Malott ![]() | LW | 26 | 783,000$ | 824,000$ | 762,500$ | 762,500$ | UFA | ||||
Joseph Duszak ![]() | D | 25 | 1,530,000$ | 1,530,000$ | ![]() | ||||||
Justin Bailey ![]() | RW | 27 | 823,000$ | 896,000$ | 750,000$ | UFA | |||||
Max McCormick ![]() | LW | 31 | 794,000$ | 857,000$ | 762,500$ | 762,500$ | UFA | ||||
Mitch Reinke ![]() | D | 27 | 912,000$ | 912,000$ | UFA | ||||||
Mitchell Chaffee ![]() | RW | 25 | 875,000$ | 999,999$ | 750,000$ | ![]() | |||||
Olivier Rodrigue ![]() | G | 22 | 910,833$ | 910,833$ | 910,833$ | RFA | |||||
Patrick Harper ![]() | C | 24 | 925,000$ | 925,000$ | ![]() | ||||||
Ryan Murphy ![]() | D | 30 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Sasha Chmelevski ![]() | C | 23 | 927,500$ | 927,500$ | ![]() | ||||||
Slater Koekkoek ![]() | D | 29 | 1,059,000$ | 1,193,000$ | 925,000$ | UFA | |||||
Tanner Laczynski ![]() | C | 25 | 816,667$ | 925,000$ | 762,500$ | 762,500$ | UFA | ||||
Timur Ibragimov ![]() | LW | 22 | 820,000$ | 820,000$ | 820,000$ | RFA | |||||
Tyler Ennis ![]() | LW/RW | 33 | 3,450,000$ | 3,450,000$ | UFA | ||||||
William Lagesson ![]() | D | 27 | 750,000$ | 719,000$ | 750,000$ | UFA |
Forward Lines | |||||||
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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 |
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
63,699,375$ | 0$ | 0$ | 82,500,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Little Caesars Arena | |
City | Detroit | ||
Capacity | 17000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 75$ | 38$ | 27$ | 14$ | 140$ |
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$ | 17000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
63,699,375$ | 79,851,430$ | 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$ | 7 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 11,786,144$ | 11,786,144$ |
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 |
---|---|---|---|---|---|---|---|
2023 | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | |
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 |
---|---|---|---|---|---|
Arvid Costmar | ![]() | 2020 | 131 | ||
Bulat Shafigulin | ![]() | 2019 | 84 | ||
Dennis Smirnov | ![]() | 2018 | 129 | ||
Elmer Soderblom | ![]() | 2020 | 141 | ||
Filip Sveningsson | ![]() | 2018 | 153 | ||
Jeremie Poirier | ![]() | 2021 | 38 | ||
Kirill Tyutyayev | ![]() | 2020 | 213 | ||
Kristian Roykas-Marthinsen | ![]() | 2018 | 124 | ||
Nick Campoli | ![]() | 2018 | 151 | ||
Nico Gross | ![]() | 2019 | 113 | ||
Niklas Nordgren | ![]() | 2019 | 54 | ||
Patrick Virta | ![]() | 2018 | 125 | ||
Tomas Vomacka | ![]() | 2018 | 199 |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2023 | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | |
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 |
---|---|---|---|---|---|
Arvid Costmar | ![]() | 2020 | 131 | ||
Bulat Shafigulin | ![]() | 2019 | 84 | ||
Dennis Smirnov | ![]() | 2018 | 129 | ||
Elmer Soderblom | ![]() | 2020 | 141 | ||
Filip Sveningsson | ![]() | 2018 | 153 | ||
Jeremie Poirier | ![]() | 2021 | 38 | ||
Kirill Tyutyayev | ![]() | 2020 | 213 | ||
Kristian Roykas-Marthinsen | ![]() | 2018 | 124 | ||
Nick Campoli | ![]() | 2018 | 151 | ||
Nico Gross | ![]() | 2019 | 113 | ||
Niklas Nordgren | ![]() | 2019 | 54 | ||
Patrick Virta | ![]() | 2018 | 125 | ||
Tomas Vomacka | ![]() | 2018 | 199 |