Blackhawks | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Felix | Morale : 99 | Team Overall : N/A |
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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 | C | L | R | D | CON | PT | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | William Cuylle | X | X | 100.00 | 91 | 54 | 90 | 85 | 80 | 82 | 95 | 76 | 61 | 72 | 73 | 82 | 65 | 49 | 57 | 0 | 99 | 0 | 0 | 22 | 3 | 1,250,000$ | ||||
2 | Taylor Hall | X | X | 100.00 | 65 | 50 | 91 | 85 | 79 | 82 | 93 | 76 | 64 | 72 | 73 | 68 | 65 | 72 | 69 | 0 | 99 | 0 | 0 | 33 | 1 | 6,840,000$ | ||||
3 | Joel Farabee | X | X | 100.00 | 71 | 54 | 91 | 79 | 71 | 81 | 94 | 73 | 61 | 68 | 69 | 70 | 65 | 47 | 59 | 0 | 99 | 0 | 0 | 24 | 1 | 3,000,000$ | ||||
4 | Anthony Mantha | X | X | 100.00 | 67 | 52 | 92 | 85 | 88 | 81 | 73 | 76 | 61 | 71 | 76 | 67 | 66 | 63 | 63 | 0 | 99 | 0 | 0 | 30 | 1 | 5,350,000$ | ||||
5 | Ryan Poehling | X | X | X | 100.00 | 63 | 50 | 93 | 84 | 77 | 80 | 90 | 75 | 82 | 71 | 71 | 77 | 65 | 54 | 62 | 0 | 99 | 0 | 0 | 25 | 1 | 1,260,000$ | |||
6 | Dylan Holloway | X | X | 100.00 | 76 | 50 | 94 | 89 | 78 | 83 | 93 | 81 | 64 | 79 | 77 | 73 | 67 | 47 | 57 | 0 | 99 | 0 | 0 | 23 | 1 | 1,250,000$ | ||||
7 | Hendrix Lapierre | X | 100.00 | 64 | 50 | 94 | 79 | 69 | 76 | 87 | 72 | 64 | 71 | 65 | 67 | 65 | 52 | 60 | 0 | 99 | 0 | 0 | 22 | 3 | 1,500,000$ | |||||
8 | Juraj Slafkovsky | X | X | 100.00 | 79 | 52 | 90 | 86 | 85 | 84 | 94 | 77 | 61 | 76 | 73 | 72 | 66 | 40 | 55 | 0 | 99 | 0 | 0 | 20 | 1 | 1,500,000$ | ||||
9 | KAndre Miller | X | 100.00 | 72 | 50 | 93 | 86 | 80 | 88 | 92 | 78 | 25 | 72 | 72 | 82 | 65 | 50 | 60 | 0 | 99 | 0 | 0 | 24 | 2 | 2,800,000$ | |||||
10 | Nick Perbix | X | 100.00 | 66 | 50 | 93 | 82 | 79 | 81 | 92 | 75 | 25 | 69 | 71 | 70 | 65 | 49 | 57 | 0 | 99 | 0 | 0 | 26 | 2 | 1,560,000$ | |||||
11 | Cameron York | X | 100.00 | 69 | 50 | 92 | 82 | 73 | 87 | 90 | 75 | 25 | 69 | 69 | 80 | 65 | 47 | 57 | 0 | 99 | 0 | 0 | 23 | 3 | 3,300,000$ | |||||
12 | Jake Bean | X | 100.00 | 63 | 50 | 94 | 71 | 73 | 82 | 89 | 69 | 25 | 65 | 66 | 70 | 65 | 58 | 65 | 0 | 99 | 0 | 0 | 26 | 5 | 2,790,000$ | |||||
13 | Pavel Mintyukov | X | 100.00 | 71 | 50 | 93 | 83 | 76 | 84 | 90 | 76 | 25 | 70 | 70 | 74 | 65 | 40 | 55 | 0 | 99 | 0 | 0 | 21 | 1 | 1,500,000$ | |||||
Scratches | ||||||||||||||||||||||||||||||
1 | Matthew Phillips | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 58 | 63 | 0 | 99 | 0 | 0 | 26 | 1 | 810,338$ | ||||
2 | Morgan Frost | X | X | X | 100.00 | 68 | 50 | 93 | 84 | 73 | 82 | 94 | 75 | 83 | 71 | 70 | 69 | 74 | 56 | 63 | 0 | 99 | 0 | 0 | 25 | 6 | 4,500,000$ | |||
3 | Dylan Coghlan | X | 100.00 | 60 | 50 | 89 | 73 | 79 | 82 | 83 | 67 | 25 | 67 | 66 | 71 | 65 | 55 | 59 | 0 | 99 | 0 | 0 | 26 | 2 | 1,905,000$ | |||||
4 | Jackson LaCombe | X | 100.00 | 69 | 50 | 92 | 89 | 78 | 89 | 92 | 82 | 25 | 77 | 77 | 81 | 65 | 40 | 55 | 0 | 99 | 0 | 0 | 23 | 3 | 3,500,000$ | |||||
Farm Team | ||||||||||||||||||||||||||||||
1 | Tyler Madden | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 53 | 63 | 0 | 99 | 0 | 0 | 25 | 1 | 1,378,125$ | |||||
2 | Zachary Bolduc | X | X | X | 100.00 | 73 | 52 | 90 | 85 | 71 | 79 | 93 | 76 | 61 | 70 | 74 | 69 | 67 | 40 | 55 | 0 | 99 | 0 | 0 | 21 | 1 | 1,500,000$ | |||
3 | Zach Dean | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 0 | 21 | 1 | 1,500,000$ | |||||
4 | Adam Sykora | X | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 0 | 20 | 1 | 1,250,000$ | |||
5 | Jackson Kunz | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 1 | 22 | 1 | 825,000$ | |||||
6 | Oliver Kapanen | X | 100.00 | 60 | 50 | 94 | 66 | 74 | 77 | 75 | 69 | 64 | 66 | 65 | 67 | 68 | 40 | 55 | 0 | 99 | 0 | 1 | 21 | 2 | 1,250,000$ | |||||
7 | Kalle Vaisanen | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 1 | 21 | 2 | 975,000$ | ||||
8 | Luca Pinelli | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 1 | 19 | 2 | 825,000$ | |||||
9 | Mathieu Cataford | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 1 | 19 | 2 | 975,000$ | ||||
10 | Oscar Plandowski | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 0 | 21 | 1 | 750,000$ | |||||
11 | Tyson Galloway | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 1 | 21 | 2 | 825,000$ | |||||
12 | Jake Furlong | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 1 | 20 | 2 | 750,000$ | |||||
13 | Oliver Bonk | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 1 | 19 | 2 | 1,500,000$ | |||||
14 | Etienne Morin | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 1 | 19 | 2 | 1,250,000$ | |||||
15 | Angus Crookshank | X | X | 100.00 | 63 | 50 | 90 | 70 | 69 | 76 | 92 | 65 | 61 | 65 | 66 | 68 | 65 | 52 | 60 | 0 | 99 | 0 | 0 | 25 | 1 | 826,875$ | ||||
16 | Jan Mysak | X | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 52 | 60 | 0 | 99 | 0 | 0 | 22 | 2 | 1,378,125$ | |||
17 | Ethen Frank | X | X | X | 100.00 | 64 | 50 | 93 | 77 | 71 | 77 | 87 | 72 | 61 | 67 | 70 | 67 | 65 | 45 | 59 | 0 | 99 | 0 | 0 | 26 | 1 | 1,250,000$ | |||
18 | Owen Lindmark | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 0 | 23 | 2 | 866,250$ | |||||
19 | Evan Vierling | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 0 | 22 | 1 | 825,000$ | |||||
20 | James Hardie | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 0 | 22 | 1 | 650,000$ | |||||
21 | Josh Bloom | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 0 | 21 | 1 | 975,000$ | ||||
22 | Francesco Pinelli | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 0 | 21 | 1 | 1,250,000$ | |||||
23 | Ty Voit | X | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 0 | 21 | 1 | 700,000$ | |||
24 | Jayden Grubbe | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 0 | 21 | 1 | 1,250,000$ | |||||
25 | Aaron Huglen | X | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 1 | 23 | 1 | 975,000$ | |||
26 | Justin Janicke (R) | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 48 | 55 | 0 | 99 | 0 | 0 | 21 | 2 | 650,000$ | ||||
27 | Gabriel Perreault (R) | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 44 | 55 | 0 | 99 | 0 | 0 | 19 | 3 | 1,500,000$ | |||||
28 | Emil Jarventie (R) | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 44 | 55 | 0 | 99 | 0 | 0 | 19 | 3 | 700,000$ | |||||
29 | Ethan Miedema (R) | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 48 | 55 | 0 | 99 | 0 | 0 | 19 | 3 | 825,000$ | ||||
30 | Adam Jecho (R) | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 44 | 55 | 0 | 99 | 0 | 0 | 18 | 3 | 975,000$ | ||||
31 | Owen Allard (R) | X | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 48 | 55 | 0 | 99 | 0 | 0 | 20 | 3 | 750,000$ | ||||
32 | Domenick Fensore | X | 100.00 | 64 | 50 | 90 | 71 | 66 | 86 | 92 | 63 | 25 | 64 | 62 | 73 | 65 | 40 | 55 | 0 | 99 | 0 | 0 | 23 | 2 | 866,250$ | |||||
33 | Michael Buchinger | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 0 | 20 | 1 | 975,000$ | |||||
34 | Samuel Johannesson | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 1 | 24 | 1 | 700,000$ | |||||
35 | Hank Kempf (R) | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 48 | 55 | 0 | 99 | 0 | 0 | 22 | 2 | 650,000$ | |||||
36 | Sam Rinzel (R) | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 44 | 55 | 0 | 99 | 0 | 0 | 20 | 3 | 1,250,000$ | |||||
37 | Ryan Chesley (R) | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 46 | 55 | 0 | 99 | 0 | 0 | 20 | 3 | 1,250,000$ | |||||
38 | Carter Sotheran (R) | X | 100.00 | 60 | 60 | 60 | 60 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 46 | 55 | 0 | 99 | 0 | 0 | 19 | 3 | 825,000$ | |||||
39 | Artyom Levshunov (R) | X | 100.00 | 62 | 50 | 84 | 70 | 79 | 87 | 92 | 68 | 25 | 70 | 67 | 71 | 65 | 44 | 55 | 0 | 99 | 0 | 0 | 19 | 3 | 1,500,000$ | |||||
TEAM AVERAGE | 100.00 | 63 | 56 | 72 | 68 | 66 | 75 | 78 | 65 | 56 | 64 | 64 | 65 | 62 | 45 | 57 | 0 | 99 | 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 Name | CON | PT | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
1 | Ukko-Pekka Luukkonen | 100.00 | 74 | 88 | 87 | 90 | 70 | 70 | 75 | 70 | 77 | 70 | 90 | 52 | 64 | 0 | 99 | 0 | 0 | 25 | 4 | 5,340,000$ | ||
2 | Filip Gustavsson | 100.00 | 75 | 89 | 88 | 76 | 86 | 82 | 84 | 81 | 86 | 82 | 88 | 56 | 64 | 0 | 99 | 0 | 0 | 26 | 4 | 6,900,000$ | ||
Farm Team | ||||||||||||||||||||||||
1 | Adam Scheel | 100.00 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 53 | 64 | 0 | 99 | 0 | 0 | 25 | 2 | 682,500$ | ||
2 | Matt Villalta | 100.00 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 57 | 67 | 0 | 99 | 0 | 0 | 25 | 2 | 1,647,160$ | ||
3 | Joel Blomqvist | 100.00 | 62 | 76 | 71 | 81 | 76 | 63 | 68 | 65 | 73 | 61 | 71 | 40 | 55 | 0 | 99 | 0 | 0 | 22 | 1 | 1,250,000$ | ||
4 | Nolan Lalonde | 100.00 | 60 | 70 | 70 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 60 | 40 | 55 | 0 | 99 | 0 | 0 | 20 | 1 | 650,000$ | ||
TEAM AVERAGE | 100.00 | 65 | 77 | 76 | 71 | 69 | 66 | 68 | 66 | 69 | 66 | 72 | 50 | 62 | 0 | 99 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | 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 |
# | 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 |
Player Name | Team Name | POS | Age | Birthday | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Mantha | Blackhawks | LW/RW | 30 | 1994-09-16 | CAN | No | 234 Lbs | 6 ft5 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 5,350,000$ | 5,350,000$ | 5,350,000$ | 5,350,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Cameron York | Blackhawks | D | 23 | 2001-01-05 | USA | No | 194 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 3,300,000$ | 3,300,000$ | 2,750,000$ | 2,750,000$ | No | 2,200,000$ | 2,200,000$ | - | - | - | - | - | - | - | 2,750,000$ | 2,750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Dylan Coghlan | Blackhawks | D | 26 | 1998-02-19 | CAN | No | 208 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | 2025-09-13 | False | False | Pro & Farm | 1,905,000$ | 1,905,000$ | 1,905,000$ | 1,905,000$ | No | 1,905,000$ | - | - | - | - | - | - | - | - | 1,905,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Dylan Holloway | Blackhawks | LW/RW | 23 | 2001-09-23 | CAN | No | 206 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Filip Gustavsson | Blackhawks | G | 26 | 1998-06-07 | SWE | No | 184 Lbs | 6 ft2 | No | No | N/A | No | No | 4 | 2025-09-13 | False | False | Pro & Farm | 6,900,000$ | 6,900,000$ | 5,750,000$ | 5,750,000$ | No | 6,900,000$ | 4,600,000$ | 4,600,000$ | - | - | - | - | - | - | 5,750,000$ | 5,750,000$ | 5,750,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
Hendrix Lapierre | Blackhawks | C | 22 | 2002-02-09 | CAN | No | 180 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | 1,500,000$ | 1,500,000$ | - | - | - | - | - | - | - | 1,500,000$ | 1,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Jackson LaCombe | Blackhawks | D | 23 | 2001-01-09 | USA | No | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | 2025-09-13 | False | False | Pro & Farm | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | No | 3,500,000$ | 3,500,000$ | - | - | - | - | - | - | - | 3,500,000$ | 3,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Jake Bean (1 Way Contract) | Blackhawks | D | 26 | 1998-06-09 | CAN | No | 191 Lbs | 6 ft1 | No | No | N/A | No | No | 5 | False | False | Pro & Farm | 2,790,000$ | 2,790,000$ | 2,325,000$ | 2,325,000$ | No | 2,371,500$ | 2,092,500$ | 1,813,500$ | 1,674,000$ | - | - | - | - | - | 2,325,000$ | 2,325,000$ | 2,325,000$ | 2,325,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | |||
Joel Farabee | Blackhawks | LW/RW | 24 | 2000-02-25 | USA | No | 186 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 3,000,000$ | 3,000,000$ | 3,000,000$ | 3,000,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Juraj Slafkovsky | Blackhawks | LW/RW | 20 | 2004-03-30 | SVK | No | 225 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
KAndre Miller | Blackhawks | D | 24 | 2000-01-21 | USA | No | 210 Lbs | 6 ft5 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,800,000$ | 2,800,000$ | 3,500,000$ | 3,500,000$ | No | 2,800,000$ | - | - | - | - | - | - | - | - | 3,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Matthew Phillips | Blackhawks | LW/RW | 26 | 1998-04-06 | CAN | No | 160 Lbs | 5 ft8 | No | No | N/A | No | No | 1 | 2025-09-13 | False | False | Pro & Farm | 810,338$ | 810,338$ | 810,338$ | 810,338$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Morgan Frost | Blackhawks | C/LW/RW | 25 | 1999-05-14 | CAN | No | 193 Lbs | 6 ft0 | No | No | N/A | No | No | 6 | 2025-09-13 | False | False | Pro & Farm | 4,500,000$ | 4,500,000$ | 3,750,000$ | 3,750,000$ | No | 4,500,000$ | 3,600,000$ | 3,600,000$ | 3,150,000$ | 3,150,000$ | - | - | - | - | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | 3,750,000$ | - | - | - | - | No | No | No | No | No | - | - | - | - | ||
Nick Perbix | Blackhawks | D | 26 | 1998-06-15 | USA | No | 206 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,560,000$ | 1,560,000$ | 1,950,000$ | 1,950,000$ | No | 1,560,000$ | - | - | - | - | - | - | - | - | 1,950,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Pavel Mintyukov | Blackhawks | D | 21 | 2003-11-25 | RUS | No | 200 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Ryan Poehling | Blackhawks | C/LW/RW | 25 | 1999-01-03 | USA | No | 204 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,260,000$ | 1,260,000$ | 2,100,000$ | 2,100,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Taylor Hall | Blackhawks | LW/RW | 33 | 1991-11-14 | CAN | No | 210 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 6,840,000$ | 6,840,000$ | 6,840,000$ | 6,840,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Ukko-Pekka Luukkonen (1 Way Contract) | Blackhawks | G | 25 | 1999-03-09 | FIN | No | 223 Lbs | 6 ft5 | No | No | N/A | No | No | 4 | 2025-09-13 | False | False | Pro & Farm | 5,340,000$ | 5,340,000$ | 4,450,000$ | 4,450,000$ | No | 5,340,000$ | 3,560,000$ | 3,560,000$ | - | - | - | - | - | - | 4,450,000$ | 4,450,000$ | 4,450,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | ||
William Cuylle | Blackhawks | LW/RW | 22 | 2002-02-05 | CAN | No | 212 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | No | 1,250,000$ | 1,250,000$ | - | - | - | - | - | - | - | 1,250,000$ | 1,250,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
19 | 24.74 | 202 Lbs | 6 ft2 | 2.37 | 2,992,386$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
56,855,338$ | 33,826,500$ | 22,302,500$ | 13,573,500$ | 4,824,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Juraj Slafkovsky | Ryan Poehling | Taylor Hall | 28 | 1 | 1 | 3 |
2 | Dylan Holloway | William Cuylle | 28 | 0 | 0 | 5 | |
3 | Anthony Mantha | Hendrix Lapierre | Joel Farabee | 25 | 2 | 2 | 1 |
4 | Taylor Hall | Juraj Slafkovsky | 19 | 3 | 0 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | KAndre Miller | Pavel Mintyukov | 34 | 1 | 2 | 2 | |
2 | Jake Bean | 33 | 1 | 2 | 2 | ||
3 | Nick Perbix | 33 | 1 | 2 | 2 | ||
4 | Nick Perbix | 0 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Juraj Slafkovsky | Ryan Poehling | 50 | 1 | 2 | 2 | |
2 | Taylor Hall | Joel Farabee | 50 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | KAndre Miller | Jake Bean | 50 | 1 | 2 | 2 | |
2 | Nick Perbix | 50 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Juraj Slafkovsky | Joel Farabee | 50 | 0 | 2 | 3 |
2 | Ryan Poehling | 50 | 4 | 1 | 0 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Pavel Mintyukov | KAndre Miller | 50 | 1 | 2 | 2 |
2 | Jake Bean | Nick Perbix | 50 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Ryan Poehling | 50 | 1 | 2 | 2 | KAndre Miller | Jake Bean | 50 | 1 | 2 | 2 |
2 | Juraj Slafkovsky | 50 | 1 | 2 | 2 | Nick Perbix | 50 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Joel Farabee | 50 | 1 | 2 | 2 | |
2 | Ryan Poehling | Juraj Slafkovsky | 50 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Nick Perbix | KAndre Miller | 50 | 1 | 2 | 2 |
2 | Pavel Mintyukov | Jake Bean | 50 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Juraj Slafkovsky | Ryan Poehling | Taylor Hall | KAndre Miller | Nick Perbix |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Joel Farabee | Dylan Holloway | Taylor Hall | Pavel Mintyukov | KAndre Miller |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Ryan Poehling, Juraj Slafkovsky, Joel Farabee | Juraj Slafkovsky, | Joel Farabee |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Jake Bean, Nick Perbix, KAndre Miller | Nick Perbix | KAndre Miller, Nick Perbix |
Penalty Shots |
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Joel Farabee, Ryan Poehling, Taylor Hall, , Juraj Slafkovsky |
Goalie |
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#1 : , #2 : |
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 ) |
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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. |
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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
0 | 0 | 0% | 0 | 0 | 0% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
0 | 0 | 0 | 0 | 0 | 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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
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Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 6250 | 5250 | 2600 | 4200 | 1200 |
Ticket Price | 88 | 50 | 26 | 15 | 187 |
Attendance | 0% | 0% | 0% | 0% | 0% |
Attendance PCT | 0% | 0% | 0% | 0% | 0% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
41 | 0 - 0% | 0$ | 0$ | 19500 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
0$ | 56,855,338$ | 54,980,338$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 19 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 186,604,077$ | 186,604,077$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 82,000,000$ | 82,000,000$ | -52,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Last Trade Date | Link |
---|---|---|---|---|---|---|
Aaron Pionk | Blackhawks | 0 | 0 | |||
Adam Kleber | Blackhawks | 0 | 0 | |||
Cole Spicer | Blackhawks | 0 | 0 | |||
Hagen Burrows | Blackhawks | 0 | 0 | |||
Jayson Shaugabay | Blackhawks | 0 | 0 | |||
John Mustard | Blackhawks | 0 | 0 | |||
Ryan Healey | Blackhawks | 0 | 0 | |||
Ryder Ritchie | Blackhawks | 0 | 0 | |||
Tyson Dyck | Blackhawks | 0 | 0 | |||
William Nicholl | Blackhawks | 0 | 0 |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
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2025 | CHI | CHI ANA | CHI | CHI | CHI | CHI | |
2026 | CHI | CHI | CHI | CHI | CHI | CHI | CHI |
2027 | CHI | CHI | CHI | CHI | CHI | CHI | CHI |
2028 | CHI | CHI | CHI | CHI | CHI | CHI | CHI |
2029 | CHI | CHI | CHI | CHI | CHI | CHI | CHI |
Conditional Draft Picks |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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