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Full Scoreboard »» |
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Full Scoreboard »» |
Chicago Blackhawks 0-0-0, 0pts · 13th in Western |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Josh Norris | 0 | C | 100.00 | 69 | 33 | 83 | 79 | 78 | 86 | 73 | 78 | 84 | 73 | 84 | 75 | 81 | 67 | 65 | 0 | 26 | 87 | 24 | 7,250,000$/5yrs | |||
Alexander Barabanov | 0 | LW/RW | 100.00 | 62 | 32 | 90 | 73 | 73 | 85 | 83 | 74 | 58 | 80 | 72 | 58 | 73 | 75 | 74 | 0 | 53 | 84 | 29 | 2,500,000$/1yrs | |||
Ryan Strome | 0 | C/RW | 100.00 | 60 | 44 | 63 | 73 | 76 | 83 | 90 | 71 | 78 | 77 | 70 | 63 | 70 | 76 | 73 | 0 | 22 | 82 | 30 | 6,000,000$/3yrs | |||
Brock McGinn | 0 | LW/RW | 100.00 | 69 | 35 | 90 | 63 | 73 | 76 | 85 | 66 | 60 | 63 | 69 | 81 | 67 | 76 | 75 | 0 | 38 | 80 | 30 | 2,500,000$/1yrs | |||
Ryan Donato | 0 | C/LW | 100.00 | 68 | 37 | 82 | 69 | 74 | 75 | 88 | 70 | 72 | 70 | 72 | 63 | 71 | 72 | 70 | 0 | 35 | 80 | 28 | 2,250,000$/2yrs | |||
Nathan Bastian | 0 | RW | 100.00 | 81 | 44 | 82 | 62 | 84 | 74 | 81 | 67 | 59 | 69 | 65 | 71 | 66 | 69 | 67 | 0 | 37 | 79 | 26 | 1,350,000$/2yrs | |||
Keegan Kolesar | 0 | C/LW/RW | 100.00 | 94 | 57 | 68 | 61 | 85 | 74 | 89 | 65 | 58 | 66 | 65 | 67 | 65 | 70 | 66 | 0 | 18 | 78 | 27 | 1,500,000$/2yrs | |||
Cameron Hillis (R) | 8 | C | 100.00 | 67 | 38 | 85 | 60 | 65 | 68 | 60 | 57 | 68 | 60 | 60 | 64 | 60 | 63 | 64 | 0 | 17 | 71 | 23 | 775,000$/1yrs | |||
Samuel Savoie (R) | 0 | LW | 98.00 | 92 | 42 | 50 | 62 | 71 | 67 | 60 | 58 | 47 | 61 | 60 | 61 | 61 | 56 | 51 | 0 | 18 | 71 | 20 | 878,333$/3yrs | |||
Ville Koivunen (R) | 0 | RW | 100.00 | 64 | 38 | 88 | 56 | 68 | 61 | 60 | 55 | 38 | 50 | 58 | 59 | 54 | 57 | 58 | 0 | 34 | 67 | 20 | 828,333$/2yrs | |||
Jalen Luypen (R) | 0 | C | 100.00 | 71 | 38 | 73 | 54 | 60 | 62 | 71 | 60 | 62 | 54 | 51 | 63 | 53 | 59 | 56 | 0 | 55 | 67 | 21 | 859,167$/2yrs | |||
Tanner Dickinson (R) | 0 | C | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 60 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 23 | 10 | 22 | 848,333$/1yrs | |||
Seth Jones | 0 | D | 100.00 | 72 | 34 | 84 | 73 | 86 | 97 | 87 | 72 | 30 | 77 | 69 | 87 | 71 | 75 | 82 | 0 | 38 | 89 | 29 | 9,500,000$/7yrs | |||
Jani Hakanpaa | 0 | D | 100.00 | 85 | 41 | 73 | 57 | 93 | 87 | 90 | 66 | 30 | 66 | 63 | 84 | 64 | 79 | 76 | 0 | 21 | 83 | 32 | 1,500,000$/1yrs | |||
Alec Martinez | 0 | D | 100.00 | 63 | 33 | 96 | 63 | 82 | 87 | 81 | 62 | 30 | 60 | 73 | 86 | 68 | 87 | 87 | 0 | 20 | 82 | 36 | 5,250,000$/1yrs | |||
Nikita Zaitsev | 0 | D | 100.00 | 79 | 33 | 85 | 60 | 77 | 82 | 79 | 66 | 30 | 69 | 59 | 80 | 62 | 79 | 78 | 0 | 44 | 82 | 32 | 4,500,000$/1yrs | |||
Riley Stillman | 0 | D | 100.00 | 75 | 53 | 75 | 63 | 77 | 80 | 76 | 62 | 30 | 67 | 57 | 69 | 60 | 68 | 65 | 0 | 19 | 78 | 26 | 1,500,000$/1yrs | |||
Ty Smith | 0 | D | 100.00 | 67 | 38 | 82 | 60 | 69 | 71 | 80 | 57 | 30 | 66 | 57 | 65 | 61 | 63 | 61 | 0 | 19 | 74 | 24 | 1,300,000$/1yrs | |||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 99.89 | 69 | 37 | 75 | 61 | 72 | 73 | 77 | 62 | 48 | 63 | 61 | 67 | 62 | 66 | 65 | 0 | 30 | 75 |
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 |
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3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
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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. |
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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. |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Anton Forsberg | 0 | 100.00 | 79 | 79 | 74 | 79 | 79 | 73 | 81 | 86 | 80 | 86 | 81 | 77 | 81 | 0 | 19 | 85 | 31 | 2,750,000$/2yrs |
Dryden McKay | 0 | 98.00 | 68 | 65 | 67 | 72 | 71 | 74 | 70 | 68 | 74 | 72 | 71 | 69 | 72 | 0 | 67 | 75 | 26 | 850,000$/2yrs |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 99.00 | 74 | 72 | 71 | 76 | 75 | 74 | 76 | 77 | 77 | 79 | 76 | 73 | 77 | 0 | 43 | 80 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Rick Tocchet | 87 | 88 | 93 | 87 | 88 | 77 | 61 | CAN | 59 | 5 | 1,000,000$ |
General Manager | Yan Turgeon |
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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 | 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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Projected Total Cap Hit | 0$ |
Projected Cap Space | 83,500,000$ |
Retains And Buyout Cap Hit | 0$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 23 |
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 |
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Alec Martinez | D | 36 | 5,250,000$ | 5,250,000$ | UFA | ||||||
Alexander Barabanov | LW/RW | 29 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Anton Forsberg | G | 31 | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA | |||||
Brock McGinn | LW/RW | 30 | 2,500,000$ | 2,500,000$ | UFA | ||||||
Cameron Hillis | C | 23 | 775,000$ | 775,000$ | RFA | ||||||
Dryden McKay | G | 26 | 850,000$ | 850,000$ | 850,000$ | UFA | |||||
Jalen Luypen | C | 21 | 859,167$ | 859,167$ | 859,167$ | RFA | |||||
Jani Hakanpaa | D | 32 | 1,500,000$ | 1,500,000$ | UFA | ||||||
Josh Norris | C | 24 | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | 7,250,000$ | UFA | ||
Keegan Kolesar | C/LW/RW | 27 | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA | |||||
Nathan Bastian | RW | 26 | 1,350,000$ | 1,350,000$ | 1,350,000$ | UFA | |||||
Nikita Zaitsev | D | 32 | 4,500,000$ | 4,500,000$ | UFA | ||||||
Riley Stillman | D | 26 | 1,500,000$ | 1,500,000$ | RFA | ||||||
Ryan Donato | C/LW | 28 | 2,250,000$ | 2,250,000$ | 2,250,000$ | UFA | |||||
Ryan Strome | C/RW | 30 | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA | ||||
Samuel Savoie | LW | 20 | 878,333$ | 878,333$ | 878,333$ | 878,333$ | RFA | ||||
Seth Jones | D | 29 | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | UFA |
Tanner Dickinson | C | 22 | 848,333$ | 848,333$ | RFA | ||||||
Ty Smith | D | 24 | 1,300,000$ | 1,300,000$ | RFA | ||||||
Ville Koivunen | RW | 20 | 828,333$ | 828,333$ | 828,333$ | RFA |
Non-Roster | Pos | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
---|---|---|---|---|---|---|---|---|---|---|---|
Boris Katchouk | LW | 25 | 800,000$ | 800,000$ | RFA | ||||||
Brett Seney | C/LW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Chad Yetman | RW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Cole Guttman | C | 25 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
Cole Perfetti | C/LW | 22 | 894,167$ | 894,167$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | RFA | |||
Cole Reinhardt | LW | 24 | 813,333$ | 813,333$ | RFA | ||||||
Colin Blackwell | C/RW | 31 | 1,000,000$ | 1,000,000$ | UFA | ||||||
Colton Dach | C/LW | 21 | 847,500$ | 847,500$ | 847,500$ | RFA | |||||
Connor Corcoran | D | 23 | 775,000$ | 775,000$ | RFA | ||||||
Dave Gust | RW | 30 | 775,000$ | 775,000$ | UFA | ||||||
Derrick Pouliot | D | 30 | 800,000$ | 800,000$ | UFA | ||||||
Dustin Wolf | G | 23 | 813,333$ | 813,333$ | RFA | ||||||
Filip Roos | D | 25 | 925,000$ | 925,000$ | RFA | ||||||
Garret Sparks | G | 30 | 775,000$ | 775,000$ | UFA | ||||||
Isaak Phillips | D | 22 | 859,167$ | 859,167$ | RFA | ||||||
Jake Livingstone | D | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Jake Virtanen | RW | 27 | 775,000$ | 775,000$ | UFA | ||||||
Jan Jenik | RW | 23 | 850,000$ | 850,000$ | RFA | ||||||
Jaxson Stauber | G | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | RFA | |||||
Jaycob Megna | D | 31 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
Johan Sodergran | RW | 24 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
John Ludvig | D | 23 | 775,000$ | 775,000$ | 775,000$ | RFA | |||||
Louie Belpedio | D | 27 | 775,000$ | 775,000$ | UFA | ||||||
Louis Crevier | D | 22 | 850,833$ | 850,833$ | RFA | ||||||
Luke Philp | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
MacKenzie Entwistle | C | 24 | 800,000$ | 800,000$ | RFA | ||||||
Markus Phillips | D | 25 | 796,667$ | 796,667$ | RFA | ||||||
Michael Benning | D | 22 | 916,667$ | 916,667$ | 916,667$ | RFA | |||||
Michael Kesselring | D | 24 | 925,000$ | 925,000$ | RFA | ||||||
Nolan Patrick | C | 25 | 900,000$ | 900,000$ | RFA | ||||||
Ozzy Wiesblatt | RW | 22 | 835,833$ | 835,833$ | 835,833$ | RFA | |||||
Philipp Kurashev | C/LW/RW | 24 | 1,250,000$ | 1,250,000$ | RFA | ||||||
Philippe Myers | D | 27 | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA | |||||
Ronan Seeley | D | 21 | 810,000$ | 810,000$ | 810,000$ | RFA | |||||
Ruslan Iskhakov | C | 23 | 855,000$ | 855,000$ | RFA | ||||||
Taylor Ward | RW | 26 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Victor Lodin | C/LW | 24 | 800,000$ | 800,000$ | 800,000$ | RFA | |||||
Wyatt Kaiser | D | 21 | 775,000$ | 775,000$ | RFA |
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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 |
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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 | |
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Offensive Zone Start | 0 |
Neutral Zone Start | 0 |
Defensive Zone Start | 0 |
Puck Time | |
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With Puck | NAN |
Without Puck | NAN |
Faceoffs | |
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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 | |
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Win | 0 | 0 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 0 |
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PP Goal | 0 |
PK Attempt | 0 |
PK Goal Against | 0 |
Home | |
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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 | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
60,416,667$ | 0$ | 0$ | 23,083,333$ |
Arena | Goal Horn | About us | |
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Name | United Center | ||
City | Chicago | ||
Capacity | 18000 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
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 | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
60,416,667$ | 60,416,667$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 0$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 11 | 0$ | 0$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
0$ | 60,416,667$ | 96,473,421$ | 96,473,421$ |
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 | Ronde 8 |
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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 |
---|---|---|---|---|---|
Aidan Thompson | Blackhawks | 2022 | 105 | ||
Angus Macdonnell | Blackhawks | 2023 | 192 | ||
Bard Gardiner | Blackhawks | 2023 | 99 | ||
Cedric Guindon | Blackhawks | 2022 | 107 | ||
Charlie Leddy | Blackhawks | 2022 | 146 | ||
Cole O'Hara | Blackhawks | 2022 | 125 | ||
Cole Spicer | Blackhawks | 2022 | 120 | ||
Connor Kurth | Blackhawks | 2022 | 183 | ||
Damian Clara | Blackhawks | 2023 | 73 | ||
Hampton Slukynsky | Blackhawks | 2023 | 94 | ||
Jacob Fowler | Blackhawks | 2023 | 51 | ||
Jake Ryczek | Blackhawks | ||||
Juha Jatkola | Blackhawks | 2023 | 95 | ||
Matthew Perkins | Blackhawks | 2023 | 137 | ||
Nathaniel Day | Blackhawks | 2023 | 190 | ||
Nick Lardis | Blackhawks | 2023 | 44 | ||
Nikita Ishimnikov | Blackhawks | 2023 | 172 | ||
Oliver Moore | Blackhawks | 2023 | 12 | ||
Patrick Thomas | Blackhawks | 2023 | 126 | ||
Riku Tohila | Blackhawks | 2022 | 216 | ||
Ryan Greene | Blackhawks | 2022 | 91 | ||
Sam Rinzel | Blackhawks | 2022 | 58 | ||
Zach Nehring | Blackhawks | 2023 | 103 | ||
Zakhar Bardakov | Blackhawks | 2021 | 218 |