































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 | 82 | 40 | 74 | 79 | 79 | 84 | 92 | 74 | 80 | 73 | 76 | 77 | 62 | 69 | 67 | 0 | 77 | 28 | 5,250,000$/6yrs | |||||
![]() | RW | 100.00 | 70 | 40 | 87 | 71 | 82 | 80 | 89 | 76 | 59 | 73 | 80 | 66 | 57 | 68 | 59 | 0 | 75 | 28 | 6,650,000$/2yrs | |||||
![]() | LW/RW | 100.00 | 66 | 40 | 91 | 73 | 78 | 72 | 82 | 72 | 51 | 70 | 77 | 67 | 66 | 58 | 58 | 0 | 72 | 29 | 5,500,000$/2yrs | |||||
![]() | LW | 100.00 | 66 | 40 | 91 | 78 | 68 | 74 | 83 | 72 | 53 | 76 | 69 | 72 | 54 | 58 | 58 | 0 | 72 | 24 | 3,425,000$/3yrs | |||||
![]() | C/LW/RW | 100.00 | 76 | 40 | 85 | 71 | 75 | 77 | 91 | 69 | 54 | 69 | 72 | 65 | 70 | 76 | 60 | 0 | 71 | 31 | 5,000,000$/5yrs | |||||
![]() | C/RW | 100.00 | 68 | 67 | 71 | 75 | 73 | 75 | 91 | 67 | 70 | 70 | 66 | 65 | 57 | 78 | 65 | 0 | 70 | 31 | 5,000,000$/5yrs | |||||
![]() | C/LW | 100.00 | 72 | 40 | 89 | 70 | 69 | 72 | 88 | 64 | 73 | 65 | 69 | 76 | 66 | 62 | 58 | 0 | 69 | 28 | 1,600,000$/2yrs | |||||
![]() | C | 100.00 | 74 | 47 | 88 | 72 | 80 | 71 | 86 | 60 | 88 | 64 | 65 | 74 | 54 | 62 | 58 | 0 | 69 | 29 | 2,000,000$/2yrs | |||||
![]() | LW | 100.00 | 71 | 40 | 76 | 77 | 83 | 74 | 73 | 60 | 55 | 67 | 69 | 65 | 60 | 80 | 71 | 0 | 69 | 33 | 6,000,000$/1yrs | |||||
![]() | C/LW | 100.00 | 85 | 48 | 84 | 73 | 83 | 66 | 82 | 62 | 63 | 66 | 66 | 69 | 58 | 57 | 58 | 0 | 69 | 25 | 775,000$/2yrs | |||||
![]() | LW/RW | 100.00 | 68 | 46 | 81 | 68 | 65 | 70 | 64 | 68 | 54 | 69 | 69 | 68 | 55 | 56 | 57 | 0 | 68 | 22 | 894,176$/10yrs | |||||
![]() | LW/RW | 100.00 | 63 | 61 | 79 | 69 | 67 | 70 | 73 | 61 | 55 | 59 | 65 | 63 | 55 | 74 | 62 | 0 | 65 | 35 | 5,875,000$/2yrs | |||||
![]() | D | 100.00 | 70 | 57 | 75 | 72 | 77 | 75 | 89 | 56 | 40 | 63 | 57 | 83 | 54 | 64 | 59 | 0 | 68 | 31 | 2,750,000$/1yrs | |||||
![]() | D | 100.00 | 75 | 77 | 65 | 72 | 88 | 71 | 70 | 59 | 41 | 64 | 60 | 74 | 55 | 57 | 58 | 0 | 68 | 24 | 828,333$/3yrs | |||||
![]() | D | 100.00 | 60 | 61 | 75 | 69 | 69 | 77 | 68 | 60 | 41 | 62 | 59 | 74 | 55 | 54 | 56 | 0 | 66 | 21 | 918,333$/3yrs | |||||
![]() | D | 100.00 | 61 | 45 | 80 | 60 | 76 | 77 | 58 | 58 | 41 | 60 | 60 | 75 | 55 | 59 | 58 | 0 | 65 | 27 | 775,000$/3yrs | |||||
![]() | D | 100.00 | 61 | 44 | 80 | 63 | 66 | 70 | 61 | 57 | 40 | 62 | 58 | 73 | 55 | 56 | 57 | 0 | 64 | 24 | 812,500$/2yrs | |||||
![]() | D | 100.00 | 62 | 49 | 71 | 67 | 70 | 72 | 64 | 59 | 41 | 62 | 57 | 72 | 55 | 56 | 56 | 0 | 64 | 23 | 897,500$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | LW/RW | 100.00 | 61 | 48 | 76 | 69 | 72 | 69 | 61 | 61 | 56 | 63 | 61 | 63 | 55 | 61 | 59 | 0 | 64 | 27 | 775,000$/2yrs | |||||
![]() | LW | 100.00 | 60 | 51 | 73 | 67 | 70 | 65 | 61 | 62 | 55 | 63 | 64 | 62 | 57 | 66 | 59 | 0 | 64 | 29 | 5,250,000$/1yrs | |||||
TEAM AVERAGE | 100.00 | 69 | 49 | 80 | 71 | 75 | 73 | 76 | 64 | 56 | 66 | 66 | 70 | 58 | 64 | 60 | 0 | 68 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 79 | 79 | 79 | 76 | 78 | 72 | 82 | 69 | 89 | 76 | 87 | 72 | 66 | 0 | 78 | 33 | 5,900,000$/4yrs | |
![]() | 0 | 100.00 | 72 | 73 | 73 | 83 | 81 | 68 | 79 | 66 | 88 | 79 | 90 | 62 | 55 | 0 | 75 | 32 | 2,750,000$/2yrs | |
Scratches | ||||||||||||||||||||
![]() | 0 | 100.00 | 61 | 60 | 60 | 75 | 66 | 60 | 70 | 60 | 65 | 65 | 63 | 70 | 63 | 0 | 64 | 30 | 6,250,000$/1yrs | |
TEAM AVERAGE | 100.00 | 71 | 71 | 71 | 78 | 75 | 67 | 77 | 65 | 81 | 73 | 80 | 68 | 61 | 0 | 72 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Hynes | 84 | 86 | 82 | 80 | 74 | 72 | 1 | USA | 49 | 2 | 0$ |
General Manager | Martin Savoie |
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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 | 89,700,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 23 |
Contracts | 56/50 |
LTIR Players | 0 |
Red Wings Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alex Nylander ![]() ![]() | LW/RW | 27 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Andrei Kuzmenko ![]() | LW/RW | 29 | 5,500,000$ | 5,500,000$ | 5,500,000$ | UFA | |||||
Anton Forsberg ![]() | G | 32 | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||||
Arber Xhekaj ![]() | D | 24 | 828,333$ | 828,333$ | 1,300,000$ | 1,300,000$ | RFA | ||||
Brock Boeser ![]() | RW | 28 | 6,650,000$ | 6,650,000$ | 6,650,000$ | ![]() | |||||
Cam Atkinson ![]() | LW/RW | 35 | 5,875,000$ | 5,875,000$ | 5,875,000$ | UFA | |||||
Daniil Miromanov ![]() | D | 27 | 775,000$ | 775,000$ | 1,250,000$ | 1,250,000$ | ![]() | ||||
Dylan Guenther ![]() | LW/RW | 22 | 894,176$ | 894,176$ | 894,176$ | 7,142,875$ | 7,142,875$ | 7,142,875$ | 7,142,875$ | 7,142,875$ | 7,142,875$ |
Ilya Lyubushkin ![]() | D | 31 | 2,750,000$ | 2,750,000$ | UFA | ||||||
Jakub Vrana ![]() | LW | 29 | 5,250,000$ | 5,250,000$ | ![]() | ||||||
Joel Eriksson Ek ![]() | C | 28 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |
Matias Maccelli ![]() | LW | 24 | 3,425,000$ | 3,425,000$ | 3,425,000$ | 3,425,000$ | RFA | ||||
Matt Murray ![]() | G | 30 | 6,250,000$ | 6,250,000$ | UFA | ||||||
Nico Sturm ![]() | C | 29 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Paul Cotter ![]() | C/LW | 25 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Philipp Grubauer ![]() | G | 33 | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | 5,900,000$ | UFA | |||
Pius Suter ![]() | C/LW | 28 | 1,600,000$ | 1,600,000$ | 1,600,000$ | UFA | |||||
Rickard Rakell ![]() | C/LW/RW | 31 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
Ryan Strome ![]() | C/RW | 31 | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | ||
Ryker Evans ![]() | D | 23 | 897,500$ | 897,500$ | 897,500$ | RFA | |||||
Simon Nemec ![]() | D | 21 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Taylor Hall ![]() | LW | 33 | 6,000,000$ | 6,000,000$ | UFA | ||||||
Zac Jones ![]() | D | 24 | 812,500$ | 812,500$ | 812,500$ | RFA |
Non-Roster | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Beckman ![]() | LW | 23 | 894,167$ | 894,167$ | 775,000$ | RFA | |||||
Adam Sykora ![]() | LW/RW | 20 | 838,333$ | 838,333$ | 838,333$ | 838,333$ | |||||
Adam Wilsby ![]() | D | 24 | 842,500$ | 842,500$ | 775,000$ | 775,000$ | 775,000$ | ![]() | |||
Alex Laferriere ![]() | RW | 23 | 875,000$ | 875,000$ | 875,000$ | RFA | |||||
Alex-Olivier Voyer ![]() | RW | 26 | 775,000$ | 775,000$ | RFA | ||||||
Carter Savoie ![]() | C/LW | 23 | 925,000$ | 925,000$ | RFA | ||||||
Casey Fitzgerald ![]() | D | 28 | 775,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | ||||
Collin Graf ![]() | RW | 22 | 941,667$ | 941,667$ | 941,667$ | 941,667$ | RFA | ||||
Connor Dewar ![]() | C/LW | 25 | 800,000$ | 800,000$ | 1,180,000$ | ![]() | |||||
Damien Giroux ![]() | C | 25 | 775,000$ | 775,000$ | RFA | ||||||
Daniil Chayka ![]() | D | 22 | 825,000$ | 825,000$ | 825,000$ | 825,000$ | RFA | ||||
Danil Gushchin ![]() | LW | 23 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Dustin Wolf ![]() | G | 24 | 813,333$ | 813,333$ | RFA | ||||||
Florian Xhekaj ![]() | C | 20 | 866,667$ | 866,667$ | 866,667$ | 866,667$ | 866,667$ | RFA | |||
Isaac Belliveau ![]() | D | 22 | 875,000$ | 875,000$ | 875,000$ | 875,000$ | RFA | ||||
Jack Dugan ![]() | C/LW | 27 | 775,000$ | 775,000$ | ![]() | ||||||
Jake Wise ![]() | C | 25 | 775,000$ | 775,000$ | RFA | ||||||
Jan Mysak ![]() | C/LW | 22 | 828,333$ | 828,333$ | 828,333$ | RFA | |||||
Joakim Kemell ![]() | RW | 20 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
Jordan Gross ![]() | D | 29 | 775,000$ | 775,000$ | UFA | ||||||
Kevin Korchinski ![]() | D | 20 | 0$ | 775,000$ | 775,000$ | 775,000$ | RFA | ||||
Logan Hutsko ![]() | C | 26 | 775,000$ | 775,000$ | RFA | ||||||
Mac Hollowell ![]() | D | 26 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Mack Guzda ![]() | G | 24 | 897,500$ | 897,500$ | RFA | ||||||
Matt Savoie ![]() | C | 21 | 886,667$ | 886,667$ | 886,667$ | 886,667$ | 886,667$ | RFA | |||
Maxim Cajkovic ![]() | RW | 24 | 850,333$ | 850,833$ | RFA | ||||||
Nathan Smith ![]() | C | 26 | 775,000$ | 775,000$ | 775,000$ | ![]() | |||||
Pavel Gogolev ![]() | C/LW | 25 | 775,000$ | 775,000$ | RFA | ||||||
Samuel Fagemo ![]() | LW/RW | 25 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Sean Farrell ![]() | C/LW | 23 | 897,500$ | 897,500$ | 897,500$ | RFA | |||||
Strauss Mann ![]() | G | 26 | 775,000$ | 775,000$ | RFA | ||||||
William Eklund ![]() | C/LW | 22 | 894,167$ | 894,167$ | 894,167$ | RFA | |||||
Zayde Wisdom ![]() | C | 22 | 797,500$ | 797,500$ | 797,500$ | RFA |
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 |
---|
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
75,875,842$ | 0$ | 0$ | 89,700,000$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | Little Caesars Arena | |
City | Detroit | ||
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 | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
75,875,842$ | 75,875,842$ | 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$ | 11 | 0$ | 0$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 38,065,142$ | 38,065,142$ |
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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 |
---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Adam Engstrom | ![]() | 2022 | 92 | Link | |
Adam Jiricek | ![]() | 2024 | 16 | Link | |
Alex Young | ![]() | 2020 | 196 | Link | |
Bear Hughes | ![]() | 2020 | 148 | Link | |
Carey Terrance | ![]() | 2023 | 59 | Link | |
Dalibor Dvorsky | ![]() | 2023 | 10 | Link | |
Denton Mateychuk | ![]() | 2022 | 12 | Link | |
Egor Serdyuk | ![]() | 2019 | 165 | Link | |
Eric Pohlkamp | ![]() | 2023 | 132 | Link | |
Erik Pahlsson | ![]() | 2024 | 213 | Link | |
Gunnarwolfe Fontaine | ![]() | 2020 | 202 | Link | |
Harrison Meneghin | ![]() | 2024 | 206 | Link | |
Kim Saarinen | ![]() | 2024 | 88 | Link | |
Linus Oberg | ![]() | 2020 | 206 | Link | |
Mattias Havelid | ![]() | 2022 | 45 | Link | |
Noah Powell | ![]() | 2024 | 148 | Link | |
Riley Patterson | ![]() | 2024 | 125 | Link | |
Tomas Mrsic | ![]() | 2024 | 113 | Link | |
Yevgeni Oksentyuk | ![]() | 2020 | 162 | Link |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 |
---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Adam Engstrom | ![]() | 2022 | 92 | Link | |
Adam Jiricek | ![]() | 2024 | 16 | Link | |
Alex Young | ![]() | 2020 | 196 | Link | |
Bear Hughes | ![]() | 2020 | 148 | Link | |
Carey Terrance | ![]() | 2023 | 59 | Link | |
Dalibor Dvorsky | ![]() | 2023 | 10 | Link | |
Denton Mateychuk | ![]() | 2022 | 12 | Link | |
Egor Serdyuk | ![]() | 2019 | 165 | Link | |
Eric Pohlkamp | ![]() | 2023 | 132 | Link | |
Erik Pahlsson | ![]() | 2024 | 213 | Link | |
Gunnarwolfe Fontaine | ![]() | 2020 | 202 | Link | |
Harrison Meneghin | ![]() | 2024 | 206 | Link | |
Kim Saarinen | ![]() | 2024 | 88 | Link | |
Linus Oberg | ![]() | 2020 | 206 | Link | |
Mattias Havelid | ![]() | 2022 | 45 | Link | |
Noah Powell | ![]() | 2024 | 148 | Link | |
Riley Patterson | ![]() | 2024 | 125 | Link | |
Tomas Mrsic | ![]() | 2024 | 113 | Link | |
Yevgeni Oksentyuk | ![]() | 2020 | 162 | Link |