 | 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 Andrei Kuzmenko (R) | 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$/1yrs | |||
 Evan Rodrigues | 0 | C/LW | 100.00 | 64 | 34 | 86 | 75 | 69 | 86 | 89 | 73 | 78 | 72 | 71 | 63 | 74 | 72 | 73 | 36 | 62 | 0 | 29 | 2,000,000$/1yrs | |||
 Tomas Tatar | 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$/1yrs | |||
 Blake Wheeler | 0 | RW | 100.00 | 66 | 39 | 76 | 72 | 94 | 90 | 88 | 76 | 60 | 85 | 74 | 68 | 76 | 88 | 93 | 42 | 63 | 0 | 36 | 8,250,000$/2yrs | |||
 Zemgus Girgensons | 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$/1yrs | |||
 Ryan Strome | 0 | C/RW | 100.00 | 56 | 35 | 70 | 76 | 77 | 89 | 91 | 77 | 79 | 81 | 74 | 65 | 78 | 75 | 72 | 71 | 80 | 0 | 29 | 4,775,000$/3yrs | |||
 Michael Rasmussen | 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$/2yrs | |||
 Jakob Silfverberg | 0 | LW/RW | 100.00 | 65 | 36 | 84 | 74 | 79 | 87 | 85 | 72 | 56 | 71 | 65 | 83 | 73 | 79 | 72 | 56 | 79 | 0 | 32 | 5,250,000$/2yrs | |||
 Aleksander Barkov | 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$/8yrs | |||
 Sam Bennett | 0 | C | 100.00 | 80 | 45 | 69 | 74 | 76 | 86 | 89 | 71 | 81 | 73 | 77 | 68 | 71 | 69 | 72 | 85 | 80 | 0 | 26 | 4,425,000$/3yrs | |||
 Daniel Sprong | 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$/1yrs | |||
 Conor Garland | 0 | LW/RW | 100.00 | 59 | 33 | 84 | 76 | 63 | 87 | 90 | 78 | 55 | 79 | 73 | 65 | 76 | 67 | 68 | 56 | 31 | 0 | 27 | 4,950,000$/4yrs | |||
 Jack Roslovic | 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$/2yrs | |||
 Mathieu Joseph | 0 | LW/RW | 100.00 | 74 | 38 | 90 | 76 | 73 | 81 | 87 | 73 | 63 | 68 | 71 | 76 | 69 | 66 | 68 | 56 | 68 | 0 | 26 | 2,950,000$/4yrs | |||
 Zach Whitecloud | 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$/6yrs | |||
 Mark Borowiecki | 0 | D | 100.00 | 90 | 84 | 55 | 59 | 81 | 83 | 79 | 57 | 30 | 61 | 55 | 80 | 45 | 76 | 73 | 34 | 81 | 0 | 33 | 1,100,000$/1yrs | |||
 Nikita Zadorov | 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$/2yrs | |||
 Lassi Thomson | 0 | D | 100.00 | 64 | 39 | 81 | 66 | 72 | 85 | 82 | 63 | 30 | 67 | 56 | 60 | 51 | 62 | 64 | 83 | 75 | 0 | 22 | 894,167$/1yrs | |||
 Travis Sanheim | 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$/1yrs | |||
 Tucker Poolman | 0 | D | 100.00 | 71 | 36 | 85 | 63 | 80 | 85 | 76 | 58 | 30 | 60 | 55 | 76 | 50 | 69 | 71 | 47 | 81 | 0 | 29 | 2,000,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
 Adin Hill | 0 | 100.00 | 86 | 94 | 90 | 95 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 66 | 75 | 62 | 82 | 0 | 26 | 2,175,000$/1yrs |
 Jeremy Swayman | 0 | 100.00 | 89 | 90 | 87 | 83 | 88 | 87 | 89 | 88 | 87 | 89 | 88 | 64 | 71 | 59 | 82 | 0 | 24 | 925,000$/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 |
|---|
| 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 | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|
| 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 |
|---|
| 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$ |  RFA | ||||||
| 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$ | RFA | ||||||
| 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$ | RFA | ||||||
| Jack Roslovic | C/RW | 26 | 4,000,000$ | 4,000,000$ | 4,000,000$ | RFA | |||||
| 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$ | RFA | |||
| 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$ | RFA | |||||
| 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$ | RFA | ||||
| Tomas Tatar | LW | 32 | 3,200,000$ | 3,200,000$ | UFA | ||||||
| Travis Sanheim | D | 27 | 4,675,000$ | 4,675,000$ | RFA | ||||||
| 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$ | RFA |
| 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$ | RFA | ||||||
| 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$ | RFA | ||||||
| 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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| 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 |
| 74,399,167$ | 0$ | 0$ | 85,000,000$ |
| Arena | Goal Horn | About us | |
|---|---|---|---|
| Name | Little Caesars Arena | |
| City | Detroit | ||
| Capacity | 20000 | ||
| Season Ticket Holders | 80% | ||
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
 |
 |
 |
 |
 |
 |
| 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 | |||||
|---|---|---|---|---|---|
 |
 |
 |
 |
 |
|
| 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 | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 0$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 0$ | 95,899,043$ | 95,899,043$ |
Rising Star
Franchise Player
Rookie
Injured 
Cold Streak 
Hot Streak | 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 |
|---|---|---|---|---|---|
| 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 | Red Wings | ||||
| Alexander Perevalov | Red Wings | ||||
| Amir Mifthakov | Red Wings | ||||
| Bear Hugues | Red Wings | ||||
| Cale Capobianco | Red Wings | ||||
| Connor Corcoran | Red Wings | ||||
| Derek Baribeau | Red Wings | ||||
| Evan Barratt | Red Wings | ||||
| Jack Rathbone | Red Wings | ||||
| Jacob Truscott | Red Wings | ||||
| Jake Furlong | Red Wings | ||||
| Kasper Puutio | Red Wings | ||||
| Luke Tuch | Red Wings | ||||
| Mattias Norlinder | Red Wings | 2019 | 84 | ||
| Nikita Alexandrov | Red Wings | ||||
| Patrick Bajkov | Red Wings | 0 | Link | ||
| Patrick Hamrla | Red Wings | ||||
| Ryan Greene | Red Wings | ||||
| Ryan Hofer | Red Wings | ||||
| Ryan Mast | Red Wings | ||||
| Serron Noel | Red Wings | ||||
| Thomas Bordeleau | Red Wings | ||||
| Vladislav kotkov | Red Wings |
| 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 | Red Wings | ||||
| Alexander Perevalov | Red Wings | ||||
| Amir Mifthakov | Red Wings | ||||
| Bear Hugues | Red Wings | ||||
| Cale Capobianco | Red Wings | ||||
| Connor Corcoran | Red Wings | ||||
| Derek Baribeau | Red Wings | ||||
| Evan Barratt | Red Wings | ||||
| Jack Rathbone | Red Wings | ||||
| Jacob Truscott | Red Wings | ||||
| Jake Furlong | Red Wings | ||||
| Kasper Puutio | Red Wings | ||||
| Luke Tuch | Red Wings | ||||
| Mattias Norlinder | Red Wings | 2019 | 84 | ||
| Nikita Alexandrov | Red Wings | ||||
| Patrick Bajkov | Red Wings | 0 | Link | ||
| Patrick Hamrla | Red Wings | ||||
| Ryan Greene | Red Wings | ||||
| Ryan Hofer | Red Wings | ||||
| Ryan Mast | Red Wings | ||||
| Serron Noel | Red Wings | ||||
| Thomas Bordeleau | Red Wings | ||||
| Vladislav kotkov | Red Wings |
|
Website created by the SimonT Hockey Simulator (STHS) for Bruno Roy - The database was created : 2023-04-24 21:06:51
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