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Detroit Red Wings 0-0-0, 0pts |
Player | # | POS | CON | Checking | Fighting | Discipline | Skating | Strength | Endurance | Durability | Puck Handling | Face Offs | Passing | Scoring | Defense | Penalty Shot | Exp | Leadership | Potential | Morale | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | LW/RW | 100.00 | 40 | 30 | 88 | 87 | 71 | 80 | 84 | 83 | 60 | 77 | 80 | 61 | 68 | 50 | 50 | 90 | 44 | 0 | 27 | 955,000$/1yrs | |||
![]() | 0 | C/LW | 100.00 | 64 | 34 | 86 | 75 | 69 | 86 | 89 | 73 | 78 | 72 | 71 | 63 | 74 | 72 | 73 | 36 | 62 | 0 | 29 | 2,000,000$/1yrs | |||
![]() | 0 | LW | 100.00 | 66 | 33 | 93 | 76 | 65 | 85 | 83 | 77 | 57 | 75 | 72 | 63 | 78 | 80 | 73 | 42 | 82 | 0 | 32 | 3,200,000$/1yrs | |||
![]() | 0 | RW | 100.00 | 66 | 39 | 76 | 72 | 94 | 90 | 88 | 76 | 60 | 85 | 74 | 68 | 76 | 88 | 93 | 42 | 63 | 0 | 36 | 8,250,000$/2yrs | |||
![]() | 0 | C/LW | 100.00 | 72 | 36 | 84 | 65 | 83 | 86 | 77 | 64 | 80 | 62 | 67 | 78 | 64 | 72 | 69 | 70 | 82 | 0 | 29 | 1,340,000$/1yrs | |||
![]() | 0 | C/RW | 100.00 | 56 | 35 | 70 | 76 | 77 | 89 | 91 | 77 | 79 | 81 | 74 | 65 | 78 | 75 | 72 | 71 | 80 | 0 | 29 | 4,775,000$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 78 | 39 | 75 | 66 | 94 | 85 | 89 | 67 | 81 | 66 | 67 | 72 | 66 | 63 | 65 | 85 | 37 | 0 | 24 | 1,460,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 65 | 36 | 84 | 74 | 79 | 87 | 85 | 72 | 56 | 71 | 65 | 83 | 73 | 79 | 72 | 56 | 79 | 0 | 32 | 5,250,000$/2yrs | |||
![]() | 0 | C | 100.00 | 61 | 37 | 92 | 80 | 86 | 91 | 85 | 87 | 90 | 86 | 89 | 88 | 92 | 72 | 90 | 77 | 82 | 0 | 27 | 10,000,000$/8yrs | |||
![]() | 0 | C | 100.00 | 80 | 45 | 69 | 74 | 76 | 86 | 89 | 71 | 81 | 73 | 77 | 68 | 71 | 69 | 72 | 85 | 80 | 0 | 26 | 4,425,000$/3yrs | |||
![]() | 0 | RW | 100.00 | 61 | 35 | 94 | 72 | 70 | 83 | 86 | 73 | 58 | 63 | 74 | 60 | 77 | 66 | 67 | 71 | 82 | 0 | 26 | 1,775,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 59 | 33 | 84 | 76 | 63 | 87 | 90 | 78 | 55 | 79 | 73 | 65 | 76 | 67 | 68 | 56 | 31 | 0 | 27 | 4,950,000$/4yrs | |||
![]() | 0 | C/RW | 100.00 | 56 | 35 | 94 | 75 | 73 | 86 | 90 | 76 | 78 | 75 | 74 | 63 | 77 | 67 | 68 | 78 | 73 | 0 | 26 | 4,000,000$/2yrs | |||
![]() | 0 | LW/RW | 100.00 | 74 | 38 | 90 | 76 | 73 | 81 | 87 | 73 | 63 | 68 | 71 | 76 | 69 | 66 | 68 | 56 | 68 | 0 | 26 | 2,950,000$/4yrs | |||
![]() | 0 | D | 100.00 | 76 | 36 | 87 | 64 | 82 | 89 | 87 | 62 | 30 | 72 | 65 | 83 | 52 | 66 | 67 | 42 | 76 | 0 | 26 | 2,750,000$/6yrs | |||
![]() | 0 | D | 100.00 | 90 | 84 | 55 | 59 | 81 | 83 | 79 | 57 | 30 | 61 | 55 | 80 | 45 | 76 | 73 | 34 | 81 | 0 | 33 | 1,100,000$/1yrs | |||
![]() | 0 | D | 100.00 | 90 | 63 | 73 | 62 | 99 | 88 | 91 | 60 | 30 | 72 | 57 | 76 | 50 | 71 | 68 | 74 | 83 | 0 | 28 | 3,800,000$/2yrs | |||
![]() | 0 | D | 100.00 | 64 | 39 | 81 | 66 | 72 | 85 | 82 | 63 | 30 | 67 | 56 | 60 | 51 | 62 | 64 | 83 | 75 | 0 | 22 | 894,167$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 39 | 87 | 73 | 80 | 93 | 90 | 72 | 30 | 75 | 63 | 82 | 55 | 68 | 73 | 79 | 59 | 0 | 27 | 4,675,000$/1yrs | |||
![]() | 0 | D | 100.00 | 71 | 36 | 85 | 63 | 80 | 85 | 76 | 58 | 30 | 60 | 55 | 76 | 50 | 69 | 71 | 47 | 81 | 0 | 29 | 2,000,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 68 | 40 | 82 | 72 | 78 | 86 | 86 | 71 | 58 | 72 | 69 | 72 | 67 | 70 | 71 | 64 | 70 | 0 |
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 | 86 | 94 | 90 | 95 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 66 | 75 | 62 | 82 | 0 | 26 | 2,175,000$/1yrs |
![]() | 0 | 100.00 | 89 | 90 | 87 | 83 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 64 | 71 | 59 | 82 | 0 | 24 | 925,000$/1yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 88 | 92 | 89 | 89 | 87 | 86 | 88 | 87 | 86 | 88 | 87 | 65 | 73 | 61 | 82 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bob Hartley | 72 | 70 | 75 | 73 | 87 | 81 | 59 | CAN | 61 | 1 | 2,400,000$ |
General Manager | Marcel Fournier |
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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 | 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 |
---|---|---|
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 | 85,000,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 23 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adin Hill ![]() | G | 26 | 2,175,000$ | 2,175,000$ | |||||||
Aleksander Barkov | C | 27 | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ |
Andrei Kuzmenko ![]() | LW/RW | 27 | 955,000$ | 955,000$ | |||||||
Blake Wheeler | RW | 36 | 8,250,000$ | 8,250,000$ | 8,250,000$ | UFA | |||||
Conor Garland | LW/RW | 27 | 4,950,000$ | 4,950,000$ | 4,950,000$ | 4,950,000$ | 4,950,000$ | UFA | |||
Daniel Sprong ![]() | RW | 26 | 1,775,000$ | 1,775,000$ | RFA | ||||||
Evan Rodrigues | C/LW | 29 | 2,000,000$ | 2,000,000$ | |||||||
Jack Roslovic ![]() | C/RW | 26 | 4,000,000$ | 4,000,000$ | 4,000,000$ | ||||||
Jakob Silfverberg | LW/RW | 32 | 5,250,000$ | 5,250,000$ | 5,250,000$ | UFA | |||||
Jeremy Swayman ![]() | G | 24 | 925,000$ | 925,000$ | RFA | ||||||
Lassi Thomson ![]() | D | 22 | 894,167$ | 894,167$ | RFA | ||||||
Mark Borowiecki | D | 33 | 1,100,000$ | 1,100,000$ | UFA | ||||||
Mathieu Joseph ![]() | LW/RW | 26 | 2,950,000$ | 2,950,000$ | 2,950,000$ | 2,950,000$ | 2,950,000$ | ||||
Michael Rasmussen ![]() | C/LW | 24 | 1,460,000$ | 1,460,000$ | 1,460,000$ | RFA | |||||
Nikita Zadorov | D | 28 | 3,800,000$ | 3,800,000$ | 3,800,000$ | ||||||
Ryan Strome | C/RW | 29 | 4,775,000$ | 4,775,000$ | 4,775,000$ | 4,775,000$ | UFA | ||||
Sam Bennett | C | 26 | 4,425,000$ | 4,425,000$ | 4,425,000$ | 4,425,000$ | |||||
Tomas Tatar | LW | 32 | 3,200,000$ | 3,200,000$ | UFA | ||||||
Travis Sanheim | D | 27 | 4,675,000$ | 4,675,000$ | |||||||
Tucker Poolman ![]() | D | 29 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
Zach Whitecloud ![]() | D | 26 | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |
Zemgus Girgensons ![]() | C/LW | 29 | 1,340,000$ | 1,340,000$ |
Non-Roster | Pos | Age | Cap Hit | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 |
---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Barabanov ![]() | LW/RW | 28 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Bode Wilde ![]() | D | 22 | 750,000$ | 750,000$ | RFA | ||||||
Chris Tierney ![]() | C | 28 | 0$ | 750,000$ | |||||||
Evgeny Svechnikov ![]() | LW | 26 | 825,000$ | 825,000$ | RFA | ||||||
Isaac Ratcliffe ![]() | LW | 24 | 813,750$ | 813,750$ | RFA | ||||||
Jayden Halbgewachs ![]() | LW | 26 | 750,000$ | 750,000$ | RFA | ||||||
Jett Woo ![]() | D | 22 | 860,833$ | 860,833$ | RFA | ||||||
Joey Daccord ![]() | G | 26 | 750,000$ | 750,000$ | RFA | ||||||
Matias Maccelli ![]() | LW | 22 | 750,000$ | 750,000$ | RFA | ||||||
Max Veronneau ![]() | RW | 27 | 750,000$ | 750,000$ | |||||||
Nils Hoglander ![]() | LW/RW | 22 | 1,125,000$ | 1,125,000$ | RFA | ||||||
Pavel Francouz ![]() | G | 32 | 2,100,000$ | 2,100,000$ | 2,100,000$ | UFA | |||||
Pheonix Copley ![]() | G | 31 | 1,150,000$ | 1,150,000$ | UFA |
Forward Lines | |||||||
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Goalies | |||||||
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | |
---|---|
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 |
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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 |
74,399,167$ | 0$ | 0$ | 85,000,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Little Caesars Arena | |
City | Detroit | ||
Capacity | 20000 | ||
Season Ticket Holders | 80% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5000 | 4000 | 4000 | 1000 |
Ticket Price | 125$ | 100$ | 75$ | 50$ | 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$ | 20000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
74,399,167$ | 74,399,167$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 0$ | 95,899,043$ | 95,899,043$ |
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 |
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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 |
---|---|---|---|---|---|
Akil Thomas | |||||
Alexander Perevalov | |||||
Amir Mifthakov | |||||
Bear Hugues | |||||
Cale Capobianco | |||||
Connor Corcoran | |||||
Derek Baribeau | |||||
Evan Barratt | |||||
Jack Rathbone | |||||
Jacob Truscott | |||||
Jake Furlong | |||||
Kasper Puutio | |||||
Luke Tuch | |||||
Mattias Norlinder | 2019 | 84 | |||
Nikita Alexandrov | |||||
Patrick Bajkov | 0 | Link | |||
Patrick Hamrla | |||||
Ryan Greene | |||||
Ryan Hofer | |||||
Ryan Mast | |||||
Serron Noel | |||||
Thomas Bordeleau | |||||
Vladislav kotkov |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 |
---|---|---|---|---|---|
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 |
---|---|---|---|---|---|
Akil Thomas | |||||
Alexander Perevalov | |||||
Amir Mifthakov | |||||
Bear Hugues | |||||
Cale Capobianco | |||||
Connor Corcoran | |||||
Derek Baribeau | |||||
Evan Barratt | |||||
Jack Rathbone | |||||
Jacob Truscott | |||||
Jake Furlong | |||||
Kasper Puutio | |||||
Luke Tuch | |||||
Mattias Norlinder | 2019 | 84 | |||
Nikita Alexandrov | |||||
Patrick Bajkov | 0 | Link | |||
Patrick Hamrla | |||||
Ryan Greene | |||||
Ryan Hofer | |||||
Ryan Mast | |||||
Serron Noel | |||||
Thomas Bordeleau | |||||
Vladislav kotkov |