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Chicago Blackhawks 0-0-0, 0pts · 6th in Western Conference |
Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Kirill Kaprizov | 97 | LW | 100.00 | 69 | 34 | 82 | 87 | 71 | 92 | 86 | 89 | 56 | 83 | 91 | 66 | 88 | 68 | 76 | 48 | 75 | 0 | 27 | 9,000,000$/2yrs | |||
Jake Evans | 27 | C/RW | 100.00 | 68 | 41 | 88 | 71 | 75 | 88 | 86 | 68 | 82 | 72 | 58 | 91 | 63 | 69 | 71 | 41 | 75 | 0 | 28 | 1,700,000$/1yrs | |||
Nick Bjugstad | 17 | C/RW | 100.00 | 77 | 55 | 81 | 72 | 94 | 87 | 89 | 71 | 79 | 69 | 73 | 83 | 68 | 79 | 74 | 51 | 75 | 0 | 32 | 2,100,000$/1yrs | |||
Nathan MacKinnon (C) | 29 | C/RW | 100.00 | 66 | 35 | 85 | 91 | 74 | 93 | 89 | 90 | 75 | 95 | 91 | 67 | 92 | 78 | 80 | 74 | 75 | 0 | 28 | 12,600,000$/7yrs | |||
Brock Boeser | 6 | RW | 100.00 | 66 | 36 | 93 | 82 | 81 | 88 | 89 | 81 | 58 | 78 | 80 | 67 | 83 | 70 | 72 | 69 | 75 | 0 | 27 | 6,650,000$/1yrs | |||
Conor Sheary | 73 | LW/RW | 100.00 | 64 | 33 | 93 | 72 | 64 | 83 | 86 | 67 | 59 | 69 | 64 | 77 | 65 | 76 | 73 | 27 | 75 | 0 | 32 | 2,000,000$/2yrs | |||
Mathew Barzal (A) | 13 | C/RW | 100.00 | 64 | 35 | 86 | 88 | 75 | 90 | 87 | 84 | 73 | 86 | 74 | 65 | 83 | 70 | 76 | 71 | 75 | 0 | 27 | 8,750,000$/4yrs | |||
Joel Eriksson Ek | 24 | C/LW/RW | 100.00 | 77 | 37 | 79 | 75 | 85 | 90 | 89 | 74 | 80 | 79 | 78 | 89 | 73 | 70 | 72 | 70 | 75 | 0 | 27 | 5,250,000$/5yrs | |||
Lawson Crouse | 67 | LW/RW | 100.00 | 81 | 77 | 86 | 75 | 89 | 88 | 89 | 74 | 56 | 70 | 75 | 83 | 72 | 71 | 70 | 73 | 75 | 0 | 27 | 4,300,000$/3yrs | |||
Yakov Trenin | 0 | C/LW/RW | 100.00 | 82 | 45 | 82 | 67 | 81 | 85 | 89 | 66 | 75 | 60 | 65 | 82 | 68 | 70 | 72 | 60 | 75 | 0 | 27 | 1,800,000$/1yrs | |||
Matt Benning | 5 | D | 100.00 | 73 | 36 | 86 | 65 | 78 | 90 | 77 | 61 | 30 | 76 | 52 | 86 | 50 | 73 | 70 | 39 | 75 | 0 | 30 | 1,250,000$/2yrs | |||
Cale Makar (A) | 8 | D | 100.00 | 67 | 34 | 90 | 85 | 72 | 95 | 86 | 82 | 30 | 95 | 81 | 93 | 63 | 68 | 70 | 85 | 75 | 0 | 25 | 8,000,000$/5yrs | |||
Brayden McNabb | 3 | D | 100.00 | 79 | 47 | 83 | 64 | 89 | 92 | 90 | 62 | 30 | 74 | 55 | 93 | 49 | 81 | 73 | 39 | 75 | 0 | 33 | 3,150,000$/1yrs | |||
Carson Soucy | 21 | D | 100.00 | 76 | 74 | 78 | 64 | 91 | 87 | 82 | 61 | 30 | 70 | 57 | 81 | 50 | 72 | 70 | 45 | 75 | 0 | 29 | 3,250,000$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
David Kampf | 0 | C/LW/RW | 100.00 | 70 | 36 | 95 | 68 | 78 | 84 | 90 | 65 | 81 | 66 | 60 | 86 | 63 | 72 | 70 | 36 | 75 | 0 | 29 | 2,400,000$/3yrs | |||
Kyle Okposo | 23 | LW/RW | 100.00 | 70 | 36 | 85 | 71 | 78 | 84 | 87 | 69 | 77 | 66 | 67 | 73 | 65 | 88 | 78 | 42 | 75 | 0 | 36 | ||||
Blake Lizotte | 37 | C | 100.00 | 71 | 36 | 80 | 70 | 64 | 80 | 87 | 65 | 80 | 68 | 63 | 78 | 66 | 69 | 71 | 37 | 75 | 0 | 26 | 1,850,000$/2yrs | |||
Jesper Boqvist | 58 | LW | 100.00 | 69 | 37 | 95 | 67 | 74 | 79 | 88 | 66 | 72 | 64 | 65 | 63 | 66 | 68 | 69 | 73 | 75 | 0 | 25 | 775,000$/1yrs | |||
Christian Fischer | 0 | RW | 100.00 | 75 | 43 | 89 | 66 | 83 | 82 | 89 | 64 | 57 | 65 | 62 | 76 | 63 | 70 | 67 | 66 | 75 | 0 | 27 | 1,125,000$/1yrs | |||
Mark Giordano | 54 | D | 100.00 | 69 | 41 | 74 | 66 | 75 | 89 | 83 | 65 | 30 | 73 | 60 | 85 | 53 | 92 | 82 | 15 | 75 | 0 | 40 | ||||
Brenden Dillon | 0 | D | 100.00 | 84 | 75 | 70 | 64 | 91 | 90 | 89 | 63 | 30 | 73 | 61 | 85 | 53 | 84 | 75 | 23 | 75 | 0 | 33 | 4,000,000$/3yrs | |||
TEAM AVERAGE | 100.00 | 72 | 44 | 85 | 73 | 79 | 87 | 87 | 71 | 59 | 74 | 68 | 79 | 66 | 74 | 73 | 52 | 75 | 0 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
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5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Frederik Andersen | 31 | 100.00 | 91 | 79 | 73 | 94 | 90 | 89 | 91 | 90 | 89 | 91 | 90 | 85 | 89 | 50 | 75 | 0 | 34 | 4,000,000$/1yrs |
Scratches | ||||||||||||||||||||
Antti Raanta | 38 | 100.00 | 84 | 81 | 75 | 73 | 83 | 82 | 84 | 83 | 82 | 84 | 83 | 78 | 89 | 43 | 75 | 0 | 35 | |
Matthew Murray | 0 | 100.00 | 76 | 83 | 79 | 77 | 75 | 74 | 76 | 75 | 74 | 76 | 75 | 66 | 75 | 55 | 75 | 0 | 26 | 775,000$/1yrs |
TEAM AVERAGE | 100.00 | 84 | 81 | 76 | 81 | 83 | 82 | 84 | 83 | 82 | 84 | 83 | 76 | 84 | 49 | 75 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Sheldon Keefe | 88 | 89 | 94 | 84 | 66 | 61 | 82 | CAN | 44 | 3 | 4,000,000$ |
General Manager | Alex Farrell |
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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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Projected Total Cap Hit | 85,012,548$ |
Projected Cap Space | 2,987,452$ |
Retains And Buyout Cap Hit | -997,500$ |
Salary Cap To Date | 0$ |
Players In Salary Cap | 24 |
LTIR Players | 0 |
Player Name | Pos | Age | Cap Hit | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 | 2031-32 |
---|---|---|---|---|---|---|---|---|---|---|---|
Antti Raanta | C/RW/G | 35 | 0$ | UFA | |||||||
Blake Lizotte | C | 26 | 1,850,000$ | 1,850,000$ | 1,850,000$ | RFA | |||||
Brayden McNabb | D | 33 | 3,150,000$ | 3,150,000$ | UFA | ||||||
Brenden Dillon | D | 33 | 4,000,000$ | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA | ||||
Brock Boeser | RW | 27 | 6,650,000$ | 6,650,000$ | RFA | ||||||
Cale Makar | D | 25 | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | RFA | ||
Carson Soucy | D | 29 | 3,250,000$ | 3,250,000$ | 3,250,000$ | RFA | |||||
Christian Fischer | RW | 27 | 1,125,000$ | 1,125,000$ | RFA | ||||||
Conor Sheary | LW/RW | 32 | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA | |||||
David Kampf | C/LW/RW/G | 29 | 2,400,000$ | 2,400,000$ | 2,400,000$ | 2,400,000$ | RFA | ||||
Frederik Andersen | D/G | 34 | 4,000,000$ | 4,000,000$ | UFA | ||||||
Jake Evans | C/RW | 28 | 1,700,000$ | 1,700,000$ | RFA | ||||||
Jesper Boqvist | LW | 25 | 775,000$ | 775,000$ | RFA | ||||||
Joel Eriksson Ek | C/LW/RW | 27 | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | 5,250,000$ | RFA | ||
Kirill Kaprizov | LW/G | 27 | 9,000,000$ | 9,000,000$ | 9,000,000$ | RFA | |||||
Kyle Okposo | LW/RW | 36 | 0$ | UFA | |||||||
Lawson Crouse | LW/RW | 27 | 4,300,000$ | 4,300,000$ | 4,300,000$ | 4,300,000$ | RFA | ||||
Mark Giordano | D/G | 40 | 0$ | UFA | |||||||
Mathew Barzal | C/RW | 27 | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | 8,750,000$ | RFA | |||
Matt Benning | D | 30 | 1,250,000$ | 1,250,000$ | 1,250,000$ | RFA | |||||
Matthew Murray | C/G | 26 | 775,000$ | 775,000$ | UFA | ||||||
Nathan MacKinnon | C/RW | 28 | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | 12,600,000$ | UFA |
Nick Bjugstad | C/RW | 32 | 2,100,000$ | 2,100,000$ | RFA | ||||||
Yakov Trenin | C/LW/RW | 27 | 1,800,000$ | 1,800,000$ | RFA |
Forward Lines | |||||||
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1st Power Play Unit | |||||||
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2nd Power Play Unit | |||||||
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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 |
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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 | 0.0% | 0.0% | 0.0% | 0.0 | Unlucky |
Puck Time | |
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Offensive Zone | 0 |
Neutral Zone | 0 |
Defensive Zone | 0 |
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 | 0 |
Without Puck | 0 |
Faceoffs | |
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Faceoffs Won | 0 |
Faceoffs Lost | 0 |
Team Average Shots after | League Average Shots after | |
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1st Period | 0.0 | 9.57 |
2nd Period | 0.0 | 20.31 |
3rd Period | 0.0 | 30.68 |
Overtime | 0.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.0 | 0.64 |
2nd Period | 0.0 | 1.65 |
3rd Period | 0.0 | 2.67 |
Overtime | 0.0 | 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 | 0.0 |
Shots Against | 0.0 |
Goals For | 0.0 |
Goals Against | 0.0 |
Hits | 0.0 |
Shots Blocked | 0.0 |
Pim | 0.0 |
Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
89,085,000$ | -997,500$ | 85,012,548$ | 2,987,452$ |
Arena | Goal Horn | About us | |
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Name | United Center | ||
City | Chicago | ||
Capacity | 22275 | ||
Season Ticket Holders | 35% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6275 | 5000 | 4000 | 5000 | 2000 |
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$ | 22275 | 150 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
89,085,000$ | 89,085,000$ | 0$ | -997,500$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
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0$ | 447,969$ | 0$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 192 | 484,818$ | 93,085,056$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
94,610,541$ | 85,012,548$ | 295,789,151$ | 201,178,610$ |
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 |
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2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 | |||||||
2029 |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Adam Jecho | Blackhawks | 2024 | 53 | ||
Alexander Nikishin | Blackhawks | 2020 | 161 | ||
Alexander Siryatsky | Blackhawks | 2024 | 190 | ||
Brandon Svoboda | Blackhawks | 2023 | 86 | ||
Chase Cheslock | Blackhawks | 2023 | 161 | ||
Chase Pirtle | Blackhawks | 2023 | 218 | ||
Connor Lockhart | Blackhawks | 2021 | 127 | ||
David Edstrom | Blackhawks | 2023 | 30 | ELC 2023-24 (slide) | Link |
Eemil Vinni | Blackhawks | 2024 | 90 | ||
Ilya Kvochko | Blackhawks | 2022 | 155 | ||
Jace Weir | Blackhawks | 2022 | 128 | ||
Jack Sparkes | Blackhawks | 2022 | 99 | ||
Jackson Hallum | Blackhawks | 2021 | 161 | ||
Jeremy Wilmer | Blackhawks | 2021 | 129 | ||
Keets Fawcett | Blackhawks | 2024 | 198 | ||
Kirill Kirsanov | Blackhawks | 2021 | 79 | ||
Liam Steele | Blackhawks | 2022 | 201 | ||
Luke McNamara | Blackhawks | 2023 | 162 | ||
Owen Allard | Blackhawks | 2024 | 89 | ||
Semyon Demidov | Blackhawks | 2022 | 165 |
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