

































Player | Position | CD | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | OV | Age | Contract | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | C/LW | 100.00 | 71 | 69 | 69 | 67 | 82 | 80 | 78 | 84 | 79 | 78 | 82 | 66 | 70 | 74 | 87 | 0 | 80 | 30 | 7,000,000$/7yrs | |||||
![]() | LW/RW | 100.00 | 84 | 58 | 60 | 72 | 82 | 81 | 77 | 73 | 56 | 77 | 80 | 66 | 56 | 81 | 60 | 0 | 78 | 32 | 5,125,000$/4yrs | |||||
![]() | LW/RW | 100.00 | 66 | 40 | 85 | 81 | 74 | 76 | 88 | 73 | 61 | 79 | 73 | 69 | 71 | 70 | 59 | 0 | 77 | 30 | 4,250,000$/2yrs | |||||
![]() | C/LW | 100.00 | 81 | 40 | 84 | 70 | 85 | 74 | 93 | 65 | 89 | 73 | 69 | 78 | 54 | 92 | 86 | 0 | 77 | 35 | 6,000,000$/5yrs | |||||
![]() | C | 100.00 | 65 | 65 | 79 | 73 | 77 | 78 | 77 | 68 | 95 | 77 | 69 | 69 | 73 | 88 | 98 | 0 | 76 | 35 | 10,500,000$/1yrs | |||||
![]() | C/LW | 100.00 | 72 | 48 | 85 | 70 | 77 | 71 | 88 | 62 | 71 | 73 | 62 | 76 | 54 | 65 | 59 | 0 | 72 | 28 | 2,650,000$/2yrs | |||||
![]() | C/LW/RW | 100.00 | 72 | 40 | 84 | 65 | 78 | 72 | 74 | 65 | 74 | 75 | 66 | 67 | 91 | 76 | 60 | 0 | 72 | 33 | 5,000,000$/2yrs | |||||
![]() | C/LW | 100.00 | 68 | 40 | 90 | 67 | 69 | 71 | 90 | 63 | 73 | 71 | 68 | 75 | 81 | 60 | 58 | 0 | 72 | 27 | 3,250,000$/1yrs | |||||
![]() | C/LW | 100.00 | 68 | 47 | 82 | 61 | 80 | 71 | 80 | 63 | 80 | 74 | 64 | 75 | 54 | 67 | 59 | 0 | 71 | 33 | 1,500,000$/1yrs | |||||
![]() | C/LW | 100.00 | 72 | 59 | 82 | 67 | 78 | 66 | 86 | 61 | 87 | 72 | 62 | 80 | 54 | 66 | 59 | 0 | 71 | 31 | 1,750,000$/1yrs | |||||
![]() | C/LW/RW | 100.00 | 71 | 40 | 90 | 62 | 84 | 63 | 68 | 60 | 62 | 72 | 61 | 75 | 54 | 56 | 58 | 0 | 69 | 22 | 883,333$/2yrs | |||||
![]() | C/LW | 100.00 | 77 | 66 | 78 | 61 | 75 | 62 | 75 | 60 | 66 | 67 | 63 | 69 | 54 | 59 | 58 | 0 | 68 | 27 | 825,000$/2yrs | |||||
![]() | C | 100.00 | 63 | 53 | 77 | 61 | 70 | 64 | 71 | 57 | 69 | 61 | 58 | 66 | 54 | 65 | 59 | 0 | 65 | 30 | 1,300,000$/2yrs | |||||
![]() | D | 100.00 | 67 | 40 | 78 | 88 | 79 | 96 | 89 | 79 | 40 | 86 | 70 | 79 | 61 | 80 | 82 | 0 | 83 | 33 | 9,059,000$/6yrs | |||||
![]() | D | 100.00 | 76 | 40 | 82 | 87 | 90 | 89 | 89 | 67 | 40 | 79 | 64 | 85 | 54 | 76 | 60 | 0 | 80 | 32 | 5,100,000$/3yrs | |||||
![]() | D | 100.00 | 76 | 64 | 81 | 79 | 73 | 84 | 93 | 61 | 40 | 73 | 58 | 89 | 54 | 62 | 59 | 0 | 75 | 31 | 2,000,000$/4yrs | |||||
![]() | D | 100.00 | 75 | 57 | 84 | 60 | 78 | 78 | 91 | 59 | 40 | 71 | 59 | 85 | 54 | 89 | 76 | 0 | 73 | 36 | 750,000$/2yrs | |||||
![]() | D | 100.00 | 65 | 50 | 88 | 71 | 78 | 73 | 74 | 59 | 40 | 71 | 61 | 80 | 54 | 69 | 59 | 0 | 72 | 30 | 850,000$/2yrs | |||||
![]() | D | 100.00 | 64 | 58 | 88 | 68 | 73 | 75 | 76 | 59 | 40 | 72 | 59 | 79 | 54 | 65 | 59 | 0 | 71 | 31 | 1,350,000$/2yrs | |||||
Scratches | ||||||||||||||||||||||||||
![]() | LW/RW | 100.00 | 55 | 61 | 66 | 64 | 56 | 66 | 65 | 65 | 55 | 61 | 65 | 61 | 57 | 69 | 61 | 0 | 66 | 30 | 750,000$/1yrs | |||||
TEAM AVERAGE | 100.00 | 70 | 52 | 81 | 70 | 77 | 75 | 81 | 65 | 63 | 73 | 66 | 74 | 60 | 71 | 66 | 0 | 73 |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | OV | AGE | CONTRACT | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 0 | 100.00 | 76 | 66 | 67 | 86 | 75 | 93 | 77 | 70 | 79 | 70 | 89 | 63 | 56 | 0 | 77 | 31 | 900,000$/2yrs | |
![]() | 0 | 100.00 | 68 | 76 | 76 | 80 | 74 | 72 | 77 | 60 | 81 | 67 | 91 | 70 | 63 | 0 | 74 | 31 | 3,800,000$/2yrs | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 72 | 71 | 72 | 83 | 75 | 83 | 77 | 65 | 80 | 69 | 90 | 67 | 60 | 0 | 76 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Barry Trotz | 85 | 92 | 81 | 85 | 89 | 83 | 57 | CAN | 61 | 5 | 0$ |
General Manager | Frederic Dion |
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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 | 74,617,333$ |
Projected Cap Space | 7,882,667$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 22 |
Contracts | 50/50 |
LTIR Players | 0 |
Blackhawks Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Aliaksei Protas ![]() | C/LW/RW | 22 | 883,333$ | 883,333$ | 883,333$ | RFA | |||||
Ben Hutton ![]() | D | 30 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Dakota Joshua ![]() | C/LW | 27 | 825,000$ | 825,000$ | 825,000$ | UFA | |||||
David Rittich ![]() | G | 31 | 900,000$ | 900,000$ | 875,000$ | UFA | |||||
Derek Grant ![]() | C/LW | 33 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Dmitry Orlov ![]() | D | 32 | 5,100,000$ | 5,100,000$ | 7,750,000$ | 7,750,000$ | UFA | ||||
Evander Kane ![]() | LW/RW | 32 | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | 5,125,000$ | UFA | |||
Gabriel Landeskog ![]() | C/LW | 30 | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA |
Jason Dickinson ![]() | C/LW | 28 | 2,650,000$ | 2,650,000$ | 2,650,000$ | UFA | |||||
Jonathan Toews ![]() | C | 35 | 10,500,000$ | 10,500,000$ | UFA | ||||||
Jordan Oesterle ![]() | D | 31 | 1,350,000$ | 1,350,000$ | 925,000$ | UFA | |||||
Jordan Staal ![]() | C/LW | 35 | 6,000,000$ | 6,000,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | 2,900,000$ | UFA | ||
Justin Holl ![]() | D | 31 | 2,000,000$ | 2,000,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA | |||
Kevin Rooney ![]() | C | 30 | 1,300,000$ | 1,300,000$ | 1,300,000$ | UFA | |||||
Marc Staal ![]() | D | 36 | 750,000$ | 750,000$ | 1,100,000$ | UFA | |||||
Petr Mrazek ![]() | G | 31 | 3,800,000$ | 3,800,000$ | 3,800,000$ | UFA | |||||
Pius Suter ![]() | C/LW | 27 | 3,250,000$ | 3,250,000$ | UFA | ||||||
Rocco Grimaldi ![]() | LW/RW | 30 | 750,000$ | 775,000$ | UFA | ||||||
Roman Josi ![]() | D | 33 | 9,059,000$ | 9,059,000$ | 9,059,000$ | 9,059,000$ | 9,059,000$ | 9,059,000$ | 9,059,000$ | UFA | |
Tomas Nosek ![]() | C/LW | 31 | 1,750,000$ | 1,750,000$ | UFA | ||||||
Tyler Johnson ![]() | C/LW/RW | 33 | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA | |||||
Viktor Arvidsson ![]() | LW/RW | 30 | 4,250,000$ | 4,250,000$ | 4,250,000$ | UFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Adam Wilsby ![]() | D | 23 | 842,500$ | 842,500$ | RFA | ||||||
Alex Lyon ![]() | G | 30 | 750,000$ | 750,000$ | 900,000$ | 900,000$ | UFA | ||||
Andy Andreoff ![]() | C/LW | 32 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Brad Lambert ![]() | C/RW | 19 | 1,168,333$ | 1,168,333$ | 1,168,333$ | 1,168,333$ | 1,168,333$ | RFA | |||
Brent Gates ![]() | C | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Carter Savoie ![]() | C/LW | 21 | 925,000$ | 925,000$ | RFA | ||||||
Cole Clayton ![]() | D | 23 | 750,000$ | 750,000$ | RFA | ||||||
Colton Poolman ![]() | D | 27 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Dawson Barteaux ![]() | D | 23 | 783,333$ | 783,333$ | RFA | ||||||
Drake Rymsha ![]() | C | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Dylan Wells ![]() | G | 25 | 750,000$ | 750,000$ | ![]() | ||||||
Eduards Tralmaks ![]() | C/LW/RW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Filip Kral ![]() | D | 23 | 810,000$ | 810,000$ | RFA | ||||||
Jayson Megna ![]() | C/LW/RW | 33 | 750,000$ | 750,000$ | 775,000$ | UFA | |||||
Joe Gambardella ![]() | C/LW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Jonathan Aspirot ![]() | D | 24 | 768,333$ | 768,333$ | ![]() | ||||||
Joona Luoto ![]() | LW/RW | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Josh Lopina ![]() | C | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | ![]() | ||||
Kevin Connauton ![]() | D | 33 | 762,500$ | 762,500$ | 762,500$ | UFA | |||||
Logan Day ![]() | D | 29 | 750,000$ | 775,000$ | UFA | ||||||
Lukas Reichel ![]() | C/LW | 21 | 1,337,500$ | 1,337,500$ | 1,337,500$ | RFA | |||||
Maxim Marushev ![]() | C | 24 | 750,000$ | 750,000$ | ![]() | ||||||
Robin Salo ![]() | D | 24 | 800,000$ | 800,000$ | 800,000$ | ![]() | |||||
Ryan Bednard ![]() | G | 26 | 750,000$ | 750,000$ | ![]() | ||||||
Ryan Francis ![]() | C/RW | 21 | 750,000$ | 750,000$ | RFA | ||||||
Ryan Jones ![]() | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Taylor Ward ![]() | RW | 25 | 925,000$ | 925,000$ | 775,000$ | ![]() | |||||
Zac Dalpe ![]() | C | 33 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | 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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Fri, Sep 15 | ![]() | @ | ![]() | ||
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Thu, Dec 28 | ![]() | @ | ![]() | ||
Sat, Dec 30 | ![]() | @ | ![]() | ||
Mon, Jan 1 | ![]() | @ | ![]() | ||
Thu, Jan 11 | ![]() | @ | ![]() | ||
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Tue, Jan 23 | ![]() | @ | ![]() | ||
Thu, Jan 25 | ![]() | @ | ![]() | ||
Fri, Jan 26 | ![]() | @ | ![]() | ||
Mon, Jan 29 | ![]() | @ | ![]() | ||
Wed, Jan 31 | ![]() | @ | ![]() | ||
Thu, Feb 1 | ![]() | @ | ![]() | ||
Sat, Feb 3 | ![]() | @ | ![]() | ||
Mon, Feb 5 | ![]() | @ | ![]() | ||
Wed, Feb 7 | ![]() | @ | ![]() | ||
Fri, Feb 9 | ![]() | @ | ![]() | ||
Sun, Feb 11 | ![]() | @ | ![]() | ||
Mon, Feb 12 | ![]() | @ | ![]() | ||
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Sat, Feb 17 | ![]() | @ | ![]() | ||
Mon, Feb 19 | ![]() | @ | ![]() | ||
Wed, Feb 21 | ![]() | @ | ![]() | ||
Sat, Feb 24 | ![]() | @ | ![]() | ||
Mon, Feb 26 | ![]() | @ | ![]() | ||
Tue, Feb 27 | ![]() | @ | ![]() | ||
Thu, Feb 29 | ![]() | @ | ![]() | ||
Sat, Mar 2 | ![]() | @ | ![]() | ||
Mon, Mar 4 | ![]() | @ | ![]() | ||
Thu, Mar 7 | ![]() | @ | ![]() | ||
Sat, Mar 9 | ![]() | @ | ![]() | ||
Mon, Mar 11 | ![]() | @ | ![]() | ||
Wed, Mar 13 | ![]() | @ | ![]() | ||
Thu, Mar 14 | ![]() | @ | ![]() | ||
Sat, Mar 16 | ![]() | @ | ![]() |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
74,617,333$ | 0$ | 74,617,333$ | 7,882,667$ |
Arena | Goal Horn | About us | |
---|---|---|---|
![]() | Name | United Center | |
City | Chicago | ||
Capacity | 17000 | ||
Season Ticket Holders | 50% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 5000 | 4000 | 3000 | 4000 | 1000 |
Ticket Price | 70$ | 50$ | 30$ | 20$ | 110$ |
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 |
74,617,333$ | 74,592,333$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
0$ | 74,617,333$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 189 | 394,801$ | 74,617,389$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
74,617,389$ | 74,617,333$ | 43,318,325$ | -31,299,064$ |
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 |
---|---|---|---|---|---|---|---|
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Julian Lutz | ![]() | 2023 | 81 | Link | |
Noah Warren | ![]() | 2023 | 49 | Link | |
Patrik Hamrla | ![]() | 2022 | 80 | Link | |
Ryan Mast | ![]() | 2022 | 176 | Link | |
Tanner Dickinson | ![]() | 2021 | 136 | Link | |
Topias Leinonen | ![]() | 2023 | 68 | Link | |
Viktor Persson | ![]() | 2021 | 157 | Link | |
Zachary Bolduc | ![]() | 2022 | 16 | Link |
Year | Ronde 1 | Ronde 2 | Ronde 3 | Ronde 4 | Ronde 5 | Ronde 6 | Ronde 7 |
---|---|---|---|---|---|---|---|
2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Julian Lutz | ![]() | 2023 | 81 | Link | |
Noah Warren | ![]() | 2023 | 49 | Link | |
Patrik Hamrla | ![]() | 2022 | 80 | Link | |
Ryan Mast | ![]() | 2022 | 176 | Link | |
Tanner Dickinson | ![]() | 2021 | 136 | Link | |
Topias Leinonen | ![]() | 2023 | 68 | Link | |
Viktor Persson | ![]() | 2021 | 157 | Link | |
Zachary Bolduc | ![]() | 2022 | 16 | Link |