![]() | DETROIT RED WINGS |
GP: 29 | W: 18 | L: 11 | OTL: 0 | P: 36 GF: 114 | GA: 101 | PP%: 16.82% | PK%: 87.95% GM : Jay W | Morale : 63 | Team Overall : 77 Next Games #312 vs PHILADELPHIA MADMEN |
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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 | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Artem Anisimov (C) | X | X | 100.00 | 29 | 6 | 99 | 97 | 98 | 99 | 94 | 99 | 74 | 99 | 99 | 97 | 71 | 99 | 99 | 0 | 70 | 90 | 0 | 35 | 5 | 2,235,798$ | |||
2 | Taylor Hall | X | X | 100.00 | 37 | 1 | 99 | 83 | 79 | 92 | 98 | 99 | 65 | 99 | 99 | 75 | 79 | 99 | 97 | 0 | 70 | 85 | 1 | 32 | 5 | 2,353,750$ | |||
3 | Daniel Sedin | X | 100.00 | 50 | 13 | 89 | 86 | 93 | 91 | 97 | 99 | 53 | 92 | 88 | 79 | 90 | 99 | 91 | 0 | 70 | 84 | 1 | 43 | 3 | 3,039,213$ | ||||
4 | Henrik Sedin | X | X | 100.00 | 53 | 12 | 94 | 92 | 91 | 98 | 91 | 90 | 83 | 88 | 95 | 82 | 68 | 99 | 89 | 0 | 70 | 84 | 1 | 43 | 2 | 2,025,000$ | |||
5 | Kasperi Kapanen | X | X | X | 100.00 | 46 | 10 | 90 | 87 | 81 | 99 | 96 | 97 | 63 | 87 | 84 | 76 | 69 | 99 | 97 | 0 | 70 | 82 | 2 | 27 | 4 | 1,800,000$ | ||
6 | Casey Mittelstadt (R) | X | X | X | 100.00 | 49 | 1 | 96 | 97 | 95 | 92 | 93 | 80 | 55 | 89 | 88 | 68 | 58 | 88 | 72 | 0 | 70 | 80 | 1 | 25 | 3 | 1,150,000$ | ||
7 | Boo Nieves | X | X | 100.00 | 99 | 95 | 22 | 74 | 79 | 90 | 85 | 95 | 51 | 89 | 85 | 77 | 56 | 89 | 84 | 0 | 74 | 80 | 2 | 29 | 3 | 1,000,000$ | |||
8 | Stefan Legein | X | 100.00 | 74 | 55 | 64 | 62 | 72 | 67 | 78 | 94 | 50 | 88 | 87 | 85 | 60 | 99 | 99 | 0 | 70 | 78 | 2 | 35 | 1 | 1,250,000$ | ||||
9 | Mikhail Grigorenko | X | 100.00 | 35 | 24 | 82 | 62 | 81 | 92 | 85 | 86 | 56 | 98 | 96 | 60 | 66 | 84 | 93 | 0 | 70 | 78 | 2 | 29 | 1 | 1,127,250$ | ||||
10 | Michael Dal Colle | X | 100.00 | 55 | 32 | 72 | 77 | 78 | 84 | 85 | 84 | 48 | 85 | 80 | 74 | 58 | 81 | 83 | 0 | 70 | 76 | 2 | 27 | 3 | 1,000,000$ | ||||
11 | Stefan Della Rovere | X | 100.00 | 3 | 1 | 99 | 57 | 76 | 87 | 86 | 87 | 77 | 84 | 87 | 75 | 76 | 99 | 99 | 0 | 70 | 75 | 0 | 33 | 2 | 1,762,000$ | ||||
12 | Alex Formenton (R) | X | 100.00 | 68 | 8 | 81 | 79 | 75 | 84 | 84 | 69 | 40 | 67 | 69 | 58 | 65 | 80 | 72 | 0 | 70 | 69 | 2 | 24 | 1 | 650,000$ | ||||
13 | Mark Pysyk | X | 100.00 | 87 | 88 | 32 | 70 | 82 | 88 | 78 | 96 | 49 | 93 | 87 | 85 | 53 | 81 | 92 | 0 | 58 | 80 | 2 | 31 | 5 | 900,000$ | ||||
14 | Jared Spurgeon | X | 100.00 | 7 | 1 | 99 | 59 | 73 | 77 | 78 | 99 | 50 | 99 | 99 | 81 | 61 | 99 | 99 | 0 | 70 | 76 | 0 | 33 | 3 | 1,249,000$ | ||||
15 | Julius Honka | X | 100.00 | 43 | 15 | 94 | 66 | 75 | 83 | 87 | 86 | 45 | 77 | 73 | 79 | 51 | 84 | 77 | 0 | 71 | 73 | 2 | 27 | 3 | 1,007,500$ | ||||
16 | Michael Stone | X | 100.00 | 99 | 99 | 1 | 58 | 81 | 79 | 77 | 63 | 59 | 61 | 51 | 93 | 46 | 82 | 82 | 0 | 64 | 73 | 0 | 33 | 1 | 897,500$ | ||||
17 | Madison Bowey | X | 100.00 | 21 | 1 | 99 | 64 | 80 | 82 | 80 | 74 | 41 | 80 | 62 | 73 | 44 | 72 | 82 | 0 | 73 | 68 | 2 | 28 | 3 | 1,056,250$ | ||||
18 | Tyler Wotherspoon | X | 100.00 | 51 | 22 | 87 | 60 | 78 | 62 | 77 | 72 | 44 | 65 | 65 | 74 | 43 | 93 | 90 | 0 | 57 | 68 | 2 | 30 | 3 | 933,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Matthew Stienburg (R) | X | 100.00 | 64 | 14 | 43 | 71 | 74 | 65 | 65 | 55 | 67 | 61 | 56 | 56 | 55 | 62 | 59 | 0 | 21 | 60 | 2 | 22 | 2 | 500,000$ | ||||
2 | Joni Jurmo (R) | X | 100.00 | 13 | 1 | 79 | 63 | 77 | 63 | 68 | 57 | 44 | 51 | 38 | 63 | 44 | 53 | 62 | 0 | 25 | 57 | 2 | 21 | 1 | 500,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Nikita Scherbak | X | 99.00 | 99 | 88 | 17 | 68 | 75 | 85 | 83 | 95 | 59 | 81 | 88 | 63 | 64 | 86 | 85 | 0 | 57 | 76 | 2 | 27 | 2 | 1,005,000$ | ||||
2 | Jason Zucker | X | 99.00 | 96 | 99 | 25 | 63 | 74 | 74 | 80 | 89 | 52 | 87 | 89 | 66 | 59 | 93 | 91 | 0 | 72 | 75 | 2 | 31 | 2 | 1,113,000$ | ||||
3 | Kieffer Bellows | X | 100.00 | 53 | 38 | 58 | 72 | 78 | 95 | 83 | 68 | 58 | 65 | 69 | 69 | 69 | 81 | 69 | 0 | 62 | 68 | 1 | 25 | 2 | 775,000$ | ||||
4 | Dylan Holloway (R) | X | X | 99.00 | 45 | 33 | 67 | 76 | 76 | 85 | 74 | 64 | 69 | 78 | 62 | 60 | 68 | 64 | 68 | 0 | 64 | 66 | 1 | 22 | 1 | 750,000$ | |||
5 | Max Jones | X | 100.00 | 99 | 75 | 45 | 64 | 80 | 71 | 77 | 54 | 53 | 56 | 66 | 73 | 59 | 81 | 75 | 0 | 65 | 65 | 1 | 25 | 2 | 812,500$ | ||||
6 | Alexander Volkov | X | 100.00 | 47 | 8 | 82 | 69 | 74 | 70 | 84 | 70 | 33 | 67 | 69 | 60 | 63 | 77 | 66 | 0 | 64 | 65 | 2 | 26 | 1 | 600,000$ | ||||
7 | Nick Bjugstad | X | X | 100.00 | 12 | 11 | 99 | 63 | 76 | 93 | 79 | 63 | 61 | 63 | 68 | 59 | 57 | 93 | 89 | 0 | 64 | 65 | 2 | 31 | 1 | 600,000$ | |||
8 | Xavier Bourgault (R) | X | X | X | 100.00 | 30 | 5 | 93 | 84 | 77 | 79 | 65 | 68 | 44 | 54 | 67 | 61 | 58 | 61 | 69 | 0 | 64 | 64 | 1 | 21 | 2 | 800,000$ | ||
9 | Alexei Protas (R) | X | X | 100.00 | 19 | 1 | 90 | 77 | 78 | 76 | 68 | 67 | 70 | 69 | 58 | 59 | 55 | 72 | 65 | 0 | 64 | 64 | 2 | 22 | 3 | 600,000$ | |||
10 | Nicholas Robertson (R) | X | 100.00 | 32 | 11 | 72 | 80 | 74 | 79 | 87 | 56 | 47 | 56 | 61 | 62 | 54 | 69 | 72 | 0 | 64 | 62 | 2 | 22 | 4 | 650,000$ | ||||
11 | Noel Gunler (R) | X | X | 100.00 | 43 | 14 | 79 | 72 | 71 | 73 | 78 | 59 | 58 | 55 | 54 | 63 | 54 | 69 | 61 | 0 | 64 | 60 | 2 | 22 | 1 | 675,000$ | |||
12 | Zayde Wisdom (R) | X | 100.00 | 45 | 43 | 69 | 63 | 72 | 61 | 67 | 63 | 46 | 57 | 56 | 56 | 58 | 53 | 55 | 0 | 58 | 58 | 2 | 21 | 2 | 500,000$ | ||||
13 | Ian McCoshen | X | 99.00 | 50 | 21 | 84 | 61 | 80 | 79 | 78 | 79 | 53 | 76 | 73 | 75 | 52 | 80 | 85 | 0 | 64 | 70 | 2 | 28 | 1 | 650,000$ | ||||
14 | Dylan McIlrath | X | 100.00 | 50 | 6 | 99 | 60 | 80 | 71 | 79 | 72 | 52 | 73 | 60 | 68 | 67 | 93 | 94 | 0 | 61 | 68 | 1 | 32 | 4 | 951,000$ | ||||
15 | Ryan Johnson (R) | X | 100.00 | 63 | 26 | 67 | 83 | 74 | 70 | 65 | 69 | 44 | 65 | 58 | 71 | 50 | 65 | 67 | 0 | 64 | 67 | 1 | 22 | 3 | 650,000$ | ||||
16 | Ryker Evans (R) | X | 100.00 | 71 | 52 | 74 | 60 | 77 | 67 | 67 | 61 | 44 | 53 | 52 | 63 | 48 | 62 | 65 | 0 | 65 | 61 | 2 | 20 | 2 | 700,000$ | ||||
17 | Elias Salomonsson (R) | X | 100.00 | 18 | 1 | 97 | 70 | 71 | 67 | 69 | 64 | 44 | 60 | 58 | 64 | 46 | 59 | 62 | 0 | 42 | 60 | 2 | 19 | 3 | 700,000$ | ||||
18 | Mattias Hävelid (R) | X | 100.00 | 13 | 10 | 90 | 68 | 69 | 66 | 74 | 59 | 44 | 59 | 57 | 68 | 46 | 57 | 65 | 0 | 42 | 59 | 2 | 19 | 3 | 700,000$ | ||||
19 | Reid Schaefer (R) | X | 100.00 | 42 | 38 | 77 | 68 | 68 | 70 | 72 | 64 | 50 | 63 | 62 | 58 | 65 | 72 | 70 | 0 | 22 | 62 | 1 | 20 | 3 | 800,000$ | ||||
20 | Aleksi Heponiemi (R) | X | 100.00 | 3 | 1 | 98 | 80 | 68 | 62 | 68 | 67 | 58 | 63 | 59 | 54 | 68 | 72 | 63 | 0 | 22 | 61 | 2 | 24 | 3 | 650,000$ | ||||
21 | Paul Ludwinski (R) | X | 100.00 | 34 | 22 | 78 | 69 | 68 | 70 | 69 | 59 | 61 | 64 | 59 | 59 | 62 | 60 | 65 | 0 | 22 | 60 | 2 | 19 | 3 | 600,000$ | ||||
22 | Ludwig Persson (R) | X | 100.00 | 17 | 3 | 93 | 67 | 69 | 73 | 72 | 65 | 44 | 60 | 60 | 58 | 58 | 60 | 63 | 0 | 22 | 60 | 2 | 20 | 3 | 500,000$ | ||||
23 | William Cuylle (R) | X | 100.00 | 7 | 8 | 78 | 72 | 74 | 70 | 69 | 64 | 58 | 60 | 58 | 55 | 54 | 67 | 63 | 0 | 22 | 59 | 2 | 21 | 1 | 600,000$ | ||||
24 | Isaac Ratcliffe (R) | X | X | 100.00 | 50 | 14 | 79 | 68 | 72 | 71 | 71 | 63 | 65 | 54 | 54 | 56 | 59 | 73 | 65 | 0 | 44 | 59 | 2 | 24 | 2 | 550,000$ | |||
25 | Colton Sissons | X | X | 100.00 | 75 | 69 | 46 | 60 | 80 | 59 | 64 | 53 | 60 | 58 | 50 | 55 | 59 | 82 | 89 | 0 | 22 | 58 | 2 | 30 | 1 | 650,000$ | |||
26 | Dillion Hamaliuk (R) | X | 100.00 | 18 | 19 | 70 | 70 | 73 | 63 | 66 | 54 | 49 | 60 | 54 | 62 | 55 | 61 | 64 | 0 | 20 | 57 | 2 | 22 | 3 | 600,000$ | ||||
27 | Tristan Broz (R) | X | 100.00 | 25 | 47 | 87 | 71 | 74 | 64 | 77 | 52 | 62 | 50 | 46 | 59 | 52 | 59 | 54 | 0 | 22 | 56 | 2 | 20 | 2 | 550,000$ | ||||
28 | Evan Oberg | X | 100.00 | 41 | 38 | 99 | 71 | 71 | 59 | 79 | 66 | 50 | 72 | 47 | 75 | 78 | 99 | 99 | 0 | 49 | 68 | 0 | 35 | 2 | 952,000$ | ||||
29 | Jakub Zboril | X | 88.39 | 43 | 18 | 94 | 65 | 77 | 72 | 67 | 67 | 44 | 65 | 61 | 74 | 44 | 83 | 78 | 0 | 54 | 66 | 1 | 26 | 2 | 812,500$ | ||||
30 | Brett Kulak | X | 100.00 | 15 | 1 | 99 | 64 | 76 | 59 | 69 | 63 | 43 | 63 | 61 | 56 | 44 | 86 | 85 | 0 | 22 | 60 | 2 | 29 | 1 | 650,000$ | ||||
31 | Filip Westerlund | X | 100.00 | 57 | 47 | 63 | 66 | 73 | 65 | 61 | 55 | 44 | 47 | 44 | 63 | 51 | 65 | 59 | 0 | 20 | 59 | 2 | 24 | 1 | 600,000$ | ||||
32 | Matt Robertson (R) | X | 100.00 | 64 | 42 | 86 | 63 | 77 | 61 | 63 | 45 | 44 | 50 | 46 | 60 | 51 | 66 | 64 | 0 | 20 | 58 | 2 | 22 | 3 | 600,000$ | ||||
TEAM AVERAGE | 99.70 | 45 | 27 | 76 | 71 | 77 | 76 | 77 | 72 | 53 | 70 | 68 | 68 | 58 | 78 | 77 | 0 | 53 | 68 |
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 | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jonathan Quick | 100.00 | 58 | 90 | 90 | 81 | 76 | 90 | 92 | 98 | 94 | 81 | 86 | 99 | 96 | 0 | 77 | 85 | 2 | 37 | 4 | 1,837,275$ | |
2 | Jake Oettinger (R) | 100.00 | 83 | 92 | 90 | 84 | 86 | 89 | 88 | 89 | 86 | 85 | 66 | 81 | 73 | 0 | 77 | 84 | 1 | 24 | 3 | 650,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Mads Sogaard (R) | 98.00 | 69 | 68 | 74 | 81 | 71 | 72 | 69 | 71 | 74 | 62 | 68 | 68 | 60 | 0 | 62 | 69 | 2 | 22 | 4 | 650,000$ | |
2 | Patrik Hamrla (R) | 100.00 | 68 | 63 | 67 | 79 | 71 | 67 | 64 | 65 | 64 | 64 | 60 | 66 | 65 | 0 | 60 | 66 | 2 | 20 | 2 | 600,000$ | |
3 | Felix Sandstrom | 100.00 | 61 | 69 | 78 | 81 | 73 | 85 | 85 | 83 | 83 | 61 | 59 | 86 | 76 | 0 | 55 | 75 | 2 | 26 | 5 | 2,000,000$ | |
4 | Joel Blomqvist (R) | 100.00 | 68 | 59 | 61 | 77 | 66 | 59 | 61 | 57 | 57 | 57 | 64 | 56 | 55 | 0 | 36 | 60 | 2 | 21 | 1 | 600,000$ | |
5 | Jan Bednář (R) | 100.00 | 67 | 54 | 54 | 81 | 62 | 54 | 52 | 56 | 54 | 57 | 56 | 53 | 58 | 0 | 36 | 58 | 2 | 21 | 1 | 550,000$ | |
TEAM AVERAGE | 99.71 | 68 | 71 | 73 | 81 | 72 | 74 | 73 | 74 | 73 | 67 | 66 | 73 | 69 | 0 | 58 | 71 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Andy Murray | 68 | 80 | 84 | 85 | 99 | 99 | 25 | CAN | 68 | 3 | 1,554,300$ |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Artem Anisimov | ![]() | C/LW | 29 | 12 | 29 | 41 | 1 | 2 | 0 | 17 | 55 | 108 | 32 | 60 | 11.11% | 15 | 667 | 23.03 | 4 | 7 | 11 | 13 | 96 | 0 | 0 | 0 | 1 | 77 | 1 | 1 | 50.60% | 994 | 18 | 18 | 0 | 0 | 1.23 | 1 | 1 | 0 | 0 | 0 | 0 | 2 | 6 |
2 | Taylor Hall | ![]() | C/LW | 29 | 19 | 19 | 38 | 0 | 2 | 0 | 28 | 36 | 83 | 21 | 69 | 22.89% | 13 | 668 | 23.04 | 4 | 3 | 7 | 13 | 96 | 0 | 0 | 0 | 1 | 78 | 2 | 2 | 51.85% | 54 | 21 | 7 | 0 | 1 | 1.14 | 1 | 1 | 0 | 0 | 0 | 8 | 1 | 0 |
3 | Kasperi Kapanen | ![]() | C/LW/RW | 29 | 10 | 18 | 28 | 3 | 16 | 0 | 40 | 31 | 70 | 22 | 45 | 14.29% | 13 | 593 | 20.45 | 2 | 6 | 8 | 7 | 95 | 1 | 0 | 1 | 1 | 10 | 1 | 1 | 53.06% | 49 | 27 | 7 | 0 | 0 | 0.94 | 0 | 1 | 0 | 0 | 0 | 1 | 3 | 1 |
4 | Daniel Sedin | ![]() | LW | 29 | 9 | 13 | 22 | -6 | 14 | 0 | 39 | 40 | 87 | 21 | 48 | 10.34% | 11 | 498 | 17.18 | 1 | 1 | 2 | 9 | 64 | 1 | 0 | 1 | 1 | 32 | 3 | 1 | 35.29% | 34 | 15 | 6 | 0 | 0 | 0.88 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 |
5 | Henrik Sedin | ![]() | C/RW | 29 | 9 | 11 | 20 | -6 | 2 | 0 | 32 | 49 | 69 | 19 | 45 | 13.04% | 9 | 510 | 17.62 | 1 | 1 | 2 | 6 | 65 | 0 | 1 | 1 | 1 | 41 | 0 | 0 | 57.06% | 340 | 17 | 13 | 0 | 0 | 0.78 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 |
6 | Mikhail Grigorenko | ![]() | C | 29 | 9 | 10 | 19 | 2 | 0 | 0 | 7 | 24 | 58 | 20 | 39 | 15.52% | 8 | 357 | 12.31 | 0 | 1 | 1 | 0 | 12 | 0 | 0 | 0 | 1 | 15 | 2 | 1 | 48.84% | 172 | 5 | 4 | 0 | 1 | 1.06 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
7 | Boo Nieves | ![]() | C/LW | 29 | 10 | 8 | 18 | 2 | 46 | 30 | 55 | 22 | 83 | 22 | 50 | 12.05% | 8 | 328 | 11.34 | 1 | 0 | 1 | 6 | 12 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 44.44% | 9 | 10 | 6 | 0 | 0 | 1.09 | 0 | 0 | 3 | 2 | 1 | 2 | 2 | 1 |
8 | Casey Mittelstadt | ![]() | C/LW/RW | 29 | 8 | 9 | 17 | -6 | 0 | 0 | 19 | 23 | 47 | 16 | 41 | 17.02% | 10 | 466 | 16.09 | 1 | 1 | 2 | 4 | 72 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 56.76% | 37 | 6 | 5 | 0 | 0 | 0.73 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 |
9 | Michael Dal Colle | ![]() | LW | 29 | 8 | 8 | 16 | 9 | 4 | 0 | 18 | 22 | 47 | 14 | 28 | 17.02% | 8 | 244 | 8.44 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 1 | 0 | 24 | 1 | 0 | 0% | 4 | 5 | 3 | 0 | 0 | 1.31 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
10 | Jared Spurgeon | ![]() | D | 29 | 3 | 11 | 14 | -9 | 2 | 0 | 1 | 37 | 48 | 12 | 15 | 6.25% | 32 | 730 | 25.20 | 1 | 4 | 5 | 8 | 100 | 0 | 0 | 0 | 1 | 46 | 0 | 0 | 0% | 0 | 8 | 13 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
11 | Stefan Legein | ![]() | RW | 29 | 5 | 7 | 12 | 7 | 4 | 0 | 40 | 24 | 44 | 17 | 29 | 11.36% | 4 | 215 | 7.43 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 5 | 3 | 0 | 0 | 1.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
12 | Mark Pysyk | ![]() | D | 29 | 4 | 8 | 12 | -12 | 54 | 10 | 105 | 49 | 44 | 13 | 12 | 9.09% | 43 | 724 | 25.00 | 3 | 1 | 4 | 7 | 96 | 0 | 0 | 0 | 0 | 57 | 0 | 0 | 0% | 0 | 8 | 25 | 0 | 0 | 0.33 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 |
13 | Michael Stone | ![]() | D | 28 | 0 | 10 | 10 | 1 | 106 | 50 | 95 | 43 | 29 | 11 | 7 | 0% | 20 | 587 | 20.98 | 0 | 2 | 2 | 4 | 67 | 0 | 0 | 0 | 1 | 47 | 0 | 0 | 0% | 0 | 0 | 7 | 0 | 0 | 0.34 | 0 | 0 | 3 | 3 | 3 | 0 | 0 | 0 |
14 | Stefan Della Rovere | ![]() | LW | 29 | 3 | 5 | 8 | 5 | 0 | 0 | 0 | 13 | 11 | 5 | 11 | 27.27% | 2 | 211 | 7.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 54.79% | 73 | 2 | 2 | 0 | 0 | 0.76 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
15 | Julius Honka | ![]() | D | 29 | 3 | 4 | 7 | 1 | 9 | 5 | 12 | 33 | 33 | 12 | 7 | 9.09% | 28 | 636 | 21.94 | 0 | 0 | 0 | 1 | 71 | 0 | 0 | 0 | 1 | 52 | 0 | 0 | 0% | 0 | 5 | 12 | 0 | 0 | 0.22 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 |
16 | Alex Formenton | ![]() | LW | 29 | 1 | 5 | 6 | 3 | 0 | 0 | 35 | 18 | 11 | 4 | 12 | 9.09% | 8 | 316 | 10.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 8 | 1 | 5 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
17 | Tyler Wotherspoon | ![]() | D | 18 | 0 | 6 | 6 | 9 | 0 | 0 | 14 | 15 | 6 | 7 | 3 | 0% | 18 | 260 | 14.48 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 34 | 0 | 0 | 0% | 0 | 0 | 6 | 0 | 0 | 0.46 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
18 | Madison Bowey | ![]() | D | 29 | 0 | 3 | 3 | 14 | 0 | 0 | 0 | 23 | 14 | 5 | 3 | 0% | 22 | 373 | 12.88 | 0 | 1 | 1 | 1 | 11 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 0% | 0 | 0 | 17 | 0 | 0 | 0.16 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
19 | Joni Jurmo | ![]() | D | 12 | 0 | 0 | 0 | 0 | 4 | 0 | 2 | 8 | 9 | 2 | 2 | 0% | 4 | 172 | 14.34 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 0% | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 522 | 113 | 184 | 297 | 18 | 265 | 95 | 559 | 565 | 901 | 275 | 526 | 12.54% | 276 | 8563 | 16.41 | 18 | 28 | 46 | 79 | 875 | 2 | 3 | 5 | 9 | 563 | 17 | 7 | 51.52% | 1778 | 153 | 162 | 0 | 2 | 0.69 | 2 | 5 | 6 | 6 | 6 | 19 | 18 | 13 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jake Oettinger | ![]() | 22 | 16 | 5 | 0 | 0.891 | 3.19 | 1223 | 0 | 0 | 65 | 594 | 252 | 1 | 0 | 0.667 | 3 | 20 | 9 | 0 | 0 | 0 |
2 | Jonathan Quick | ![]() | 11 | 2 | 6 | 0 | 0.863 | 4.16 | 519 | 0 | 0 | 36 | 262 | 114 | 1 | 0 | 0 | 0 | 9 | 20 | 0 | 0 | 0 |
Team Total or Average | 33 | 18 | 11 | 0 | 0.882 | 3.48 | 1742 | 0 | 0 | 101 | 856 | 366 | 2 | 0 | 3 | 29 | 29 | 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 |
Player Name | Team Name | POS | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Waiver Possible | Contract | Type | Current Salary | Salary Remaining | Salary Average | Salary Ave 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 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Formenton | ![]() | LW | 24 | 9/13/1999 1:39:26 AM | Yes | 182 Lbs | 6 ft5 | No | No | No | No | 1 | Pro & Farm | 650,000$ | 437,500$ | 40,000$ | 26,923$ | 650,000$ | 437,500$ | No | ||||||||||
Artem Anisimov | ![]() | C/LW | 35 | 5/24/1988 | No | 213 Lbs | 6 ft4 | No | No | No | No | 5 | Pro Only | 2,235,798$ | 1,504,864$ | 2,235,798$ | 1,504,864$ | No | 2,235,798$ | 2,235,798$ | 2,235,798$ | 2,235,798$ | ||||||||
Boo Nieves | ![]() | C/LW | 29 | 9/10/1994 3:35:10 AM | No | 224 Lbs | 6 ft3 | No | No | No | No | 3 | Pro Only | 1,000,000$ | 673,077$ | 40,000$ | 26,923$ | 1,000,000$ | 673,077$ | No | 1,000,000$ | 1,000,000$ | ||||||||
Casey Mittelstadt | ![]() | C/LW/RW | 25 | 11/22/1998 4:49:13 AM | Yes | 216 Lbs | 6 ft2 | No | No | No | No | 3 | Pro Only | 1,150,000$ | 774,038$ | 40,000$ | 26,923$ | 1,150,000$ | 774,038$ | No | 1,150,000$ | 1,150,000$ | ||||||||
Daniel Sedin | ![]() | LW | 43 | 9/26/1980 | No | 190 Lbs | 6 ft1 | No | No | No | No | 3 | Pro & Farm | 3,039,213$ | 2,045,624$ | 3,039,213$ | 2,045,624$ | No | 3,039,213$ | 3,039,213$ | NHL Link | |||||||||
Henrik Sedin | ![]() | C/RW | 43 | 9/26/1980 | No | 190 Lbs | 6 ft2 | No | No | No | No | 2 | Pro Only | 2,025,000$ | 1,362,981$ | 40,000$ | 26,923$ | 2,025,000$ | 1,362,981$ | No | 2,025,000$ | NHL Link | ||||||||
Jake Oettinger | ![]() | G | 24 | 12/18/1998 5:43:30 AM | Yes | 221 Lbs | 6 ft7 | No | No | No | No | 3 | Pro Only | 650,000$ | 437,500$ | 40,000$ | 26,923$ | 650,000$ | 437,500$ | No | 650,000$ | 650,000$ | ||||||||
Jared Spurgeon | ![]() | D | 33 | 11/29/1989 | No | 205 Lbs | 5 ft9 | No | No | No | Yes | 3 | Pro & Farm | 1,249,000$ | 840,673$ | 40,000$ | 26,923$ | 1,249,000$ | 840,673$ | No | 1,249,000$ | 1,249,000$ | ||||||||
Jonathan Quick | ![]() | G | 37 | 1/21/1986 | No | 221 Lbs | 6 ft1 | No | No | No | No | 4 | Pro Only | 1,837,275$ | 1,236,627$ | 1,837,275$ | 1,236,627$ | No | 1,837,275$ | 1,837,275$ | 1,837,275$ | NHL Link | ||||||||
Joni Jurmo | ![]() | D | 21 | 6/1/2002 8:23:13 AM | Yes | 208 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 500,000$ | 336,538$ | 40,000$ | 26,923$ | 500,000$ | 336,538$ | No | ||||||||||
Julius Honka | ![]() | D | 27 | 12/3/1995 1:55:06 AM | No | 197 Lbs | 6 ft1 | No | No | No | Yes | 3 | Pro & Farm | 1,007,500$ | 678,125$ | 40,000$ | 26,923$ | 1,007,500$ | 678,125$ | No | 1,007,500$ | 1,007,500$ | ||||||||
Kasperi Kapanen | ![]() | C/LW/RW | 27 | 7/23/1996 2:13:30 AM | No | 207 Lbs | 6 ft1 | No | No | No | No | 4 | Pro Only | 1,800,000$ | 1,211,538$ | 40,000$ | 26,923$ | 1,800,000$ | 1,211,538$ | No | 1,800,000$ | 1,800,000$ | 1,800,000$ | |||||||
Madison Bowey | ![]() | D | 28 | 4/22/1995 4:17:40 AM | No | 221 Lbs | 6 ft2 | No | No | No | Yes | 3 | Pro & Farm | 1,056,250$ | 710,938$ | 40,000$ | 26,923$ | 1,056,250$ | 710,938$ | No | 1,056,250$ | 1,056,250$ | ||||||||
Mark Pysyk | ![]() | D | 31 | 6/30/1992 7:10:37 AM | No | 229 Lbs | 6 ft3 | No | No | No | No | 5 | Pro Only | 900,000$ | 605,769$ | 40,000$ | 26,923$ | 900,000$ | 605,769$ | No | 900,000$ | 900,000$ | 900,000$ | 900,000$ | ||||||
Matthew Stienburg | ![]() | C | 22 | 6/1/2001 7:55:58 AM | Yes | 187 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 500,000$ | 336,538$ | 40,000$ | 26,923$ | 500,000$ | 336,538$ | No | 500,000$ | |||||||||
Michael Dal Colle | ![]() | LW | 27 | 6/20/1996 1:32:58 AM | No | 205 Lbs | 6 ft4 | No | No | No | Yes | 3 | Pro & Farm | 1,000,000$ | 673,077$ | 40,000$ | 26,923$ | 1,000,000$ | 673,077$ | No | 1,000,000$ | 1,000,000$ | ||||||||
Michael Stone | ![]() | D | 33 | 6/7/1990 | No | 231 Lbs | 6 ft3 | No | No | No | Yes | 1 | Pro & Farm | 897,500$ | 604,087$ | 40,000$ | 26,923$ | 897,500$ | 604,087$ | No | ||||||||||
Mikhail Grigorenko | ![]() | C | 29 | 5/16/1994 3:49:04 AM | No | 223 Lbs | 6 ft6 | No | No | No | Yes | 1 | Pro & Farm | 1,127,250$ | 758,726$ | 40,000$ | 26,923$ | 1,127,250$ | 758,726$ | No | ||||||||||
Stefan Della Rovere | ![]() | LW | 33 | 2/25/1990 | No | 220 Lbs | 5 ft11 | No | No | No | Yes | 2 | Pro & Farm | 1,762,000$ | 1,185,962$ | 40,000$ | 26,923$ | 1,762,000$ | 1,185,962$ | No | 1,762,000$ | |||||||||
Stefan Legein | ![]() | RW | 35 | 11/24/1988 | No | 201 Lbs | 5 ft10 | No | No | No | Yes | 1 | Pro & Farm | 1,250,000$ | 841,346$ | 40,000$ | 26,923$ | 1,250,000$ | 841,346$ | No | ||||||||||
Taylor Hall | ![]() | C/LW | 32 | 11/14/1991 | No | 219 Lbs | 6 ft1 | No | No | No | No | 5 | Pro & Farm | 2,353,750$ | 1,584,255$ | 40,000$ | 26,923$ | 2,353,750$ | 1,584,255$ | No | 2,353,750$ | 2,353,750$ | 2,353,750$ | 2,353,750$ | ||||||
Tyler Wotherspoon | ![]() | D | 30 | 3/12/1993 7:57:51 AM | No | 217 Lbs | 6 ft1 | No | No | No | Yes | 3 | Pro & Farm | 933,000$ | 627,981$ | 40,000$ | 26,923$ | 933,000$ | 627,981$ | No | 933,000$ | 933,000$ |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
22 | 30.36 | 210 Lbs | 6 ft2 | 2.77 | 1,314,706$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
28,923,536$ | 24,498,786$ | 20,211,786$ | 9,126,823$ | 5,489,548$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Taylor Hall | Artem Anisimov | Kasperi Kapanen | 40 | 0 | 2 | 3 |
2 | Daniel Sedin | Henrik Sedin | Casey Mittelstadt | 30 | 0 | 2 | 3 |
3 | Alex Formenton | Mikhail Grigorenko | Boo Nieves | 20 | 0 | 2 | 3 |
4 | Michael Dal Colle | Stefan Della Rovere | Stefan Legein | 10 | 0 | 2 | 3 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Julius Honka | Michael Stone | 40 | 0 | 2 | 3 | |
2 | Mark Pysyk | Jared Spurgeon | 30 | 0 | 2 | 3 | |
3 | Tyler Wotherspoon | Madison Bowey | 20 | 0 | 2 | 3 | |
4 | Mark Pysyk | Jared Spurgeon | 10 | 0 | 2 | 3 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Taylor Hall | Artem Anisimov | Kasperi Kapanen | 60 | 0 | 1 | 4 |
2 | Daniel Sedin | Henrik Sedin | Casey Mittelstadt | 40 | 0 | 1 | 4 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Jared Spurgeon | Mark Pysyk | 60 | 0 | 1 | 4 | |
2 | Michael Stone | Julius Honka | 40 | 0 | 1 | 4 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Artem Anisimov | Taylor Hall | 60 | 0 | 4 | 1 |
2 | Daniel Sedin | Henrik Sedin | 40 | 0 | 4 | 1 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Michael Stone | Mark Pysyk | 60 | 1 | 2 | 2 |
2 | Julius Honka | Jared Spurgeon | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Artem Anisimov | 60 | 0 | 5 | 0 | Michael Stone | Jared Spurgeon | 60 | 1 | 2 | 2 |
2 | Henrik Sedin | 40 | 0 | 5 | 0 | Mark Pysyk | Julius Honka | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Mikhail Grigorenko | Stefan Della Rovere | 60 | 1 | 2 | 2 |
2 | Daniel Sedin | Henrik Sedin | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Michael Stone | Mark Pysyk | 60 | 1 | 2 | 2 |
2 | Madison Bowey | Julius Honka | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Taylor Hall | Artem Anisimov | Henrik Sedin | Mark Pysyk | Julius Honka |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Daniel Sedin | Artem Anisimov | Henrik Sedin | Mark Pysyk | Michael Stone |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Mikhail Grigorenko, Casey Mittelstadt, Michael Dal Colle | Mikhail Grigorenko, Boo Nieves | Kasperi Kapanen |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Tyler Wotherspoon, Michael Stone, Madison Bowey | Madison Bowey | Tyler Wotherspoon, Madison Bowey |
Penalty Shots |
---|
Artem Anisimov, Taylor Hall, Kasperi Kapanen, Henrik Sedin, Daniel Sedin |
Goalie |
---|
#1 : Jake Oettinger, #2 : Jonathan Quick |
Custom OT Lines Forwards |
---|
Artem Anisimov, Taylor Hall, Henrik Sedin, Daniel Sedin, Mikhail Grigorenko, Kasperi Kapanen, Kasperi Kapanen, Casey Mittelstadt, Stefan Legein, Boo Nieves, Alex Formenton |
Custom OT Lines Defensemen |
---|
Michael Stone, Mark Pysyk, Jared Spurgeon, Julius Honka, Madison Bowey |
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 |
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 |
1 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.500 | 5 | 9 | 14 | 0 | 0 | 3 | 0 | 2 | 0 | 57 | 23 | 11 | 23 | 0 | 62 | 13 | 14 | 35 | 4 | 0 | 0.00% | 7 | 1 | 85.71% | 0 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 39 | 23 | 46 | 17 | 33 | 15 |
2 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 9 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.500 | 7 | 11 | 18 | 0 | 0 | 3 | 2 | 2 | 0 | 63 | 26 | 18 | 19 | 0 | 64 | 18 | 12 | 45 | 4 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 45 | 28 | 42 | 15 | 32 | 16 |
3 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 0 | 3 | 1 | 0 | 31 | 10 | 12 | 9 | 0 | 35 | 8 | 5 | 17 | 2 | 1 | 50.00% | 0 | 0 | 0% | 0 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 21 | 13 | 22 | 8 | 15 | 8 |
4 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 4 | 1.000 | 9 | 14 | 23 | 0 | 0 | 2 | 4 | 3 | 0 | 58 | 17 | 22 | 19 | 0 | 62 | 21 | 6 | 38 | 5 | 1 | 20.00% | 4 | 0 | 100.00% | 0 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 41 | 24 | 46 | 17 | 32 | 16 |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 0 | 0 | 4 | 0 | 29 | 7 | 8 | 14 | 0 | 19 | 6 | 14 | 25 | 5 | 1 | 20.00% | 2 | 0 | 100.00% | 0 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 22 | 12 | 20 | 9 | 17 | 8 |
6 | ![]() | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 9 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 4 | 0.667 | 13 | 19 | 32 | 0 | 0 | 5 | 4 | 4 | 0 | 93 | 41 | 23 | 29 | 0 | 69 | 27 | 47 | 67 | 23 | 6 | 26.09% | 11 | 2 | 81.82% | 0 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 69 | 40 | 57 | 27 | 52 | 27 |
7 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 28 | 12 | 8 | 8 | 0 | 35 | 5 | 17 | 19 | 6 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 20 | 12 | 22 | 9 | 17 | 8 |
8 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 2 | 2 | 1 | 0 | 30 | 12 | 11 | 7 | 0 | 27 | 17 | 13 | 10 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 23 | 14 | 19 | 8 | 16 | 7 |
9 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 4 | 5 | 9 | 0 | 0 | 2 | 0 | 2 | 0 | 67 | 18 | 19 | 30 | 0 | 57 | 23 | 10 | 34 | 5 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 44 | 26 | 43 | 16 | 31 | 16 |
10 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 2 | 3 | 2 | 0 | 59 | 28 | 18 | 13 | 0 | 62 | 19 | 14 | 41 | 2 | 1 | 50.00% | 7 | 0 | 100.00% | 0 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 39 | 22 | 47 | 17 | 32 | 15 |
11 | ![]() | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 4 | 0 | 3 | 2 | 64 | 29 | 12 | 19 | 7 | 55 | 28 | 27 | 38 | 7 | 2 | 28.57% | 7 | 0 | 100.00% | 0 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 44 | 26 | 45 | 19 | 34 | 16 |
12 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 2 | 1 | 3 | 0 | 37 | 13 | 8 | 16 | 0 | 31 | 11 | 4 | 20 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 22 | 14 | 21 | 8 | 15 | 7 |
13 | ![]() | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 10 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 4 | 0.667 | 14 | 23 | 37 | 0 | 0 | 2 | 3 | 9 | 0 | 107 | 48 | 22 | 37 | 0 | 80 | 20 | 27 | 57 | 13 | 3 | 23.08% | 7 | 2 | 71.43% | 1 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 68 | 40 | 59 | 26 | 52 | 26 |
14 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 0 | 1 | 0 | 29 | 4 | 13 | 12 | 0 | 31 | 8 | 20 | 18 | 9 | 1 | 11.11% | 5 | 0 | 100.00% | 0 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 22 | 12 | 22 | 9 | 15 | 8 |
15 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 12 | 20 | 0 | 0 | 2 | 3 | 3 | 0 | 54 | 21 | 17 | 16 | 0 | 64 | 14 | 15 | 50 | 8 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 42 | 24 | 44 | 17 | 33 | 16 |
16 | ![]() | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 13 | 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 16 | 10 | 6 | 4 | 0.667 | 18 | 31 | 49 | 0 | 0 | 8 | 4 | 6 | 0 | 95 | 37 | 30 | 28 | 0 | 103 | 38 | 20 | 45 | 5 | 0 | 0.00% | 5 | 0 | 100.00% | 1 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 63 | 40 | 68 | 25 | 48 | 23 |
Total | 29 | 17 | 11 | 0 | 0 | 0 | 1 | 0 | 114 | 101 | 13 | 14 | 9 | 5 | 0 | 0 | 0 | 0 | 0 | 49 | 49 | 0 | 15 | 8 | 6 | 0 | 0 | 0 | 1 | 0 | 65 | 52 | 13 | 36 | 0.621 | 114 | 184 | 298 | 0 | 0 | 37 | 30 | 46 | 2 | 901 | 346 | 252 | 299 | 7 | 856 | 276 | 265 | 559 | 107 | 18 | 16.82% | 83 | 10 | 87.95% | 2 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 633 | 376 | 628 | 254 | 482 | 239 | |
_Since Last GM Reset | 29 | 17 | 11 | 0 | 0 | 0 | 1 | 0 | 114 | 101 | 13 | 14 | 9 | 5 | 0 | 0 | 0 | 0 | 0 | 49 | 49 | 0 | 15 | 8 | 6 | 0 | 0 | 0 | 1 | 0 | 65 | 52 | 13 | 36 | 0.621 | 114 | 184 | 298 | 0 | 0 | 37 | 30 | 46 | 2 | 901 | 346 | 252 | 299 | 7 | 856 | 276 | 265 | 559 | 107 | 18 | 16.82% | 83 | 10 | 87.95% | 2 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 633 | 376 | 628 | 254 | 482 | 239 | |
_Vs Conference | 19 | 12 | 6 | 0 | 0 | 0 | 1 | 0 | 78 | 60 | 18 | 8 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 27 | 26 | 1 | 11 | 7 | 3 | 0 | 0 | 0 | 1 | 0 | 51 | 34 | 17 | 26 | 0.684 | 78 | 126 | 204 | 0 | 0 | 28 | 16 | 33 | 2 | 607 | 230 | 160 | 213 | 7 | 550 | 189 | 175 | 352 | 72 | 13 | 18.06% | 53 | 5 | 90.57% | 2 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 417 | 247 | 410 | 168 | 317 | 158 | |
_Vs Division | 10 | 6 | 4 | 0 | 0 | 0 | 0 | 0 | 33 | 30 | 3 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 14 | 17 | -3 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 19 | 13 | 6 | 12 | 0.600 | 33 | 53 | 86 | 0 | 0 | 9 | 7 | 17 | 0 | 318 | 110 | 87 | 121 | 0 | 292 | 85 | 77 | 182 | 36 | 5 | 13.89% | 28 | 3 | 89.29% | 1 | 336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% | 216 | 126 | 217 | 87 | 166 | 84 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
29 | 36 | W2 | 114 | 184 | 298 | 901 | 856 | 276 | 265 | 559 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
29 | 17 | 11 | 0 | 0 | 1 | 0 | 114 | 101 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
14 | 9 | 5 | 0 | 0 | 0 | 0 | 49 | 49 |
Visitor Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
15 | 8 | 6 | 0 | 0 | 1 | 0 | 65 | 52 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
5 | 5 | 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 |
---|---|---|---|---|---|---|
107 | 18 | 16.82% | 83 | 10 | 87.95% | 2 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
346 | 252 | 299 | 7 | 37 | 30 | 46 | 2 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
336 | 683 | 49.19% | 338 | 640 | 52.81% | 242 | 449 | 53.90% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
633 | 376 | 628 | 254 | 482 | 239 |
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 |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 6000 | 5000 | 2000 | 4000 | 1000 |
Ticket Price | 100 | 60 | 35 | 25 | 200 |
Attendance | 81,430 | 69,964 | 28,000 | 56,000 | 14,000 |
Attendance PCT | 96.94% | 99.95% | 100.00% | 100.00% | 100.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
28 | 17814 - 98.97% | 1,251,489$ | 17,520,840$ | 18000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
10,117,761$ | 28,923,536$ | 760,000$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
28,923,536$ | 9,609,609$ | 191,682$ | 22 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
35,041,680$ | 105 | 195,371$ | 20,513,955$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
22,995,521$ | 190,608,360$ | 204,914,365$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
31,598,136$ | 13,401,864$ | 45,000,000$ | 16,598,136$ |
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 | Link |
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Year | R1 | R2 | R3 | R4 | R5 |
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13 | ![]() | ![]() | ![]() | ![]() | ![]() |
14 | ![]() | ![]() | ![]() | ![]() | ![]() |
15 | ![]() | ![]() | ![]() | ![]() | ![]() |
16 | ![]() | ![]() | ![]() | ![]() | ![]() |
17 | ![]() | ![]() | ![]() | ![]() | ![]() |
# | 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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