Chicago Wolves | |
GP: 5 | W: 1 | L: 4 GF: 14 | GA: 24 | PP%: 50.00% | PK%: 33.33% GM : Kevin Fedigan | Morale : 24 | Team Overall : 59 |
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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 | Justin Danforth | 0 | X | 100.00 | 79 | 35 | 89 | 82 | 52 | 83 | 73 | 70 | 69 | 47 | 68 | 68 | 55 | 73 | 76 | 0 | 79 | 65 | 0 | 30 | 4 | 975,000$ | ||||
2 | Matt Nieto | 0 | X | X | X | 100.00 | 68 | 43 | 88 | 88 | 57 | 89 | 84 | 63 | 55 | 53 | 57 | 60 | 55 | 73 | 70 | 0 | 81 | 63 | 0 | 30 | 2 | 850,000$ | ||
3 | Steven Lorentz | 0 | X | 100.00 | 61 | 35 | 92 | 84 | 72 | 78 | 97 | 63 | 57 | 46 | 60 | 55 | 55 | 65 | 67 | 0 | 78 | 62 | 0 | 27 | 4 | 1,050,000$ | ||||
4 | Michael Ferland | 0 | X | X | 100.00 | 81 | 43 | 81 | 85 | 71 | 67 | 65 | 67 | 55 | 56 | 54 | 57 | 55 | 70 | 64 | 0 | 78 | 61 | 0 | 31 | 2 | 3,500,000$ | |||
5 | Andrew Agozzino | 0 | X | 100.00 | 50 | 35 | 95 | 82 | 55 | 61 | 70 | 57 | 55 | 45 | 50 | 63 | 55 | 78 | 69 | 0 | 79 | 58 | 0 | 32 | 1 | 800,000$ | ||||
6 | Ethan Werek | 0 | X | 100.00 | 63 | 35 | 75 | 78 | 63 | 69 | 69 | 46 | 47 | 55 | 53 | 53 | 45 | 60 | 48 | 0 | 79 | 56 | 0 | 32 | 1 | 800,000$ | ||||
7 | Robin Kovacs (R) | 0 | X | X | 100.00 | 66 | 55 | 66 | 62 | 66 | 62 | 69 | 55 | 50 | 55 | 55 | 56 | 55 | 50 | 50 | 0 | 72 | 55 | 0 | 26 | 1 | 750,000$ | |||
8 | Rob Flick | 0 | X | 100.00 | 62 | 76 | 63 | 63 | 58 | 66 | 64 | 56 | 69 | 55 | 53 | 59 | 50 | 44 | 44 | 0 | 79 | 55 | 0 | 32 | 1 | 750,000$ | ||||
9 | Spencer Smallman (R) | 0 | X | X | 100.00 | 61 | 35 | 75 | 78 | 57 | 66 | 65 | 45 | 50 | 52 | 55 | 48 | 54 | 60 | 48 | 0 | 51 | 54 | 0 | 26 | 3 | 762,500$ | |||
10 | Michael Spacek (R) | 0 | X | 100.00 | 64 | 35 | 75 | 71 | 54 | 65 | 68 | 50 | 55 | 55 | 49 | 55 | 46 | 60 | 48 | 0 | 79 | 54 | 0 | 26 | 1 | 750,000$ | ||||
11 | Jeremy Welsh | 0 | X | X | X | 100.00 | 61 | 35 | 75 | 70 | 54 | 65 | 69 | 49 | 54 | 53 | 48 | 52 | 52 | 60 | 48 | 0 | 79 | 53 | 0 | 35 | 1 | 750,000$ | ||
12 | Maxim Cajkovic (R) | 0 | X | X | 100.00 | 54 | 35 | 75 | 71 | 57 | 69 | 70 | 50 | 52 | 49 | 49 | 48 | 53 | 60 | 48 | 0 | 20 | 53 | 0 | 22 | 3 | 850,833$ | |||
13 | Sebastian Aho (D) | 0 | X | 100.00 | 58 | 35 | 87 | 88 | 53 | 85 | 93 | 63 | 40 | 63 | 58 | 66 | 40 | 65 | 68 | 0 | 78 | 66 | 0 | 27 | 4 | 825,000$ | ||||
14 | Jacob Moverare (R) | 0 | X | 100.00 | 56 | 35 | 92 | 80 | 67 | 67 | 70 | 59 | 40 | 48 | 50 | 77 | 40 | 58 | 68 | 0 | 78 | 64 | 0 | 24 | 3 | 750,000$ | ||||
15 | Nils Lundkvist (R) | 0 | X | 100.00 | 52 | 35 | 95 | 82 | 54 | 79 | 94 | 60 | 40 | 50 | 56 | 66 | 40 | 53 | 65 | 0 | 79 | 63 | 0 | 22 | 5 | 925,000$ | ||||
16 | Christian Jaros | 0 | X | 100.00 | 62 | 35 | 90 | 82 | 70 | 67 | 66 | 52 | 40 | 40 | 50 | 67 | 40 | 65 | 67 | 0 | 79 | 61 | 0 | 27 | 1 | 750,000$ | ||||
17 | Mark Barberio | 0 | X | 100.00 | 64 | 35 | 75 | 74 | 54 | 55 | 60 | 46 | 52 | 54 | 47 | 56 | 40 | 73 | 58 | 0 | 79 | 56 | 0 | 33 | 1 | 800,000$ | ||||
18 | Michael Kesselring (R) | 0 | X | 100.00 | 61 | 35 | 75 | 68 | 64 | 51 | 61 | 47 | 52 | 54 | 51 | 57 | 40 | 73 | 58 | 0 | 79 | 56 | 0 | 23 | 3 | 925,000$ | ||||
Scratches | ||||||||||||||||||||||||||||||
1 | Ryan Reaves | 0 | X | 100.00 | 99 | 59 | 78 | 84 | 73 | 78 | 90 | 58 | 55 | 50 | 56 | 55 | 55 | 88 | 76 | 0 | 48 | 63 | 0 | 36 | 2 | 1,700,000$ | ||||
2 | Trent Vogelhuber | 0 | X | 100.00 | 71 | 55 | 67 | 60 | 68 | 65 | 64 | 55 | 50 | 55 | 55 | 56 | 55 | 50 | 50 | 0 | 39 | 55 | 0 | 34 | 1 | 750,000$ | ||||
3 | Mark MacMillan | 0 | X | 100.00 | 66 | 55 | 62 | 63 | 65 | 61 | 75 | 55 | 50 | 55 | 55 | 56 | 55 | 50 | 50 | 0 | 71 | 55 | 0 | 31 | 1 | 750,000$ | ||||
4 | Alex Friesen | 0 | X | 100.00 | 55 | 35 | 75 | 78 | 61 | 69 | 68 | 51 | 48 | 45 | 46 | 47 | 51 | 60 | 48 | 0 | 24 | 53 | 0 | 32 | 1 | 750,000$ | ||||
5 | Phil Lane | 0 | X | 100.00 | 60 | 55 | 62 | 55 | 58 | 60 | 68 | 55 | 50 | 55 | 55 | 55 | 55 | 50 | 50 | 0 | 19 | 53 | 0 | 31 | 1 | 750,000$ | ||||
6 | Austin Fyten | 0 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 35 | 45 | 45 | 45 | 45 | 45 | 0 | 20 | 42 | 0 | 32 | 1 | 750,000$ | ||||
7 | Danny Biega | 0 | X | 100.00 | 53 | 35 | 75 | 68 | 56 | 50 | 65 | 51 | 52 | 53 | 51 | 56 | 40 | 73 | 58 | 0 | 39 | 55 | 0 | 31 | 1 | 750,000$ | ||||
8 | Mitchell Vande Sompel (R) | 0 | X | 100.00 | 65 | 35 | 75 | 68 | 62 | 56 | 63 | 49 | 54 | 48 | 52 | 50 | 40 | 73 | 58 | 0 | 39 | 55 | 0 | 26 | 1 | 750,000$ | ||||
9 | Parker Wotherspoon (R) | 0 | X | 100.00 | 57 | 35 | 75 | 69 | 64 | 50 | 69 | 53 | 48 | 49 | 55 | 53 | 40 | 73 | 58 | 0 | 39 | 55 | 0 | 25 | 1 | 750,000$ | ||||
10 | Nikolai Knyzhov (R) | 0 | X | 100.00 | 59 | 35 | 75 | 71 | 53 | 52 | 66 | 51 | 53 | 49 | 54 | 55 | 40 | 73 | 58 | 0 | 39 | 55 | 0 | 25 | 1 | 796,667$ | ||||
11 | Jake Massie (R) | 0 | X | 100.00 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 65 | 55 | 55 | 55 | 55 | 0 | 20 | 53 | 0 | 26 | 1 | 750,000$ | ||||
TEAM AVERAGE | 100.00 | 62 | 42 | 76 | 73 | 60 | 65 | 70 | 54 | 51 | 51 | 54 | 57 | 48 | 63 | 58 | 0 | 59 | 57 |
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 | Ivan Prosvetov (R) | 0 | 100.00 | 82 | 70 | 58 | 97 | 91 | 75 | 75 | 75 | 75 | 91 | 50 | 58 | 66 | 0 | 79 | 76 | 0 | 24 | 2 | 750,000$ | |
2 | Adam Huska (R) | 0 | 100.00 | 82 | 70 | 56 | 96 | 87 | 75 | 75 | 75 | 75 | 87 | 50 | 63 | 69 | 0 | 23 | 75 | 0 | 26 | 1 | 750,000$ | |
Scratches | ||||||||||||||||||||||||
1 | Jonathan Bernier | 0 | 100.00 | 88 | 70 | 64 | 92 | 93 | 78 | 78 | 78 | 78 | 93 | 63 | 83 | 81 | 0 | 65 | 80 | 0 | 34 | 2 | 2,500,000$ | |
2 | Veini Vehvilainen (R) | 0 | 100.00 | 75 | 75 | 75 | 85 | 80 | 67 | 71 | 66 | 70 | 70 | 48 | 72 | 72 | 0 | 22 | 71 | 0 | 26 | 1 | 925,000$ | |
3 | Filip Lindberg (R) | 0 | 100.00 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 55 | 50 | 50 | 0 | 22 | 53 | 0 | 24 | 3 | 925,000$ | |
TEAM AVERAGE | 100.00 | 76 | 68 | 62 | 85 | 81 | 70 | 71 | 70 | 71 | 79 | 53 | 65 | 68 | 0 | 42 | 71 |
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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1 | Spencer Smallman | Chicago Wolves (CAR) | C/LW | 5 | 4 | 1 | 5 | -3 | 4 | 0 | 14 | 5 | 13 | 5 | 8 | 30.77% | 0 | 107 | 21.48 | 0 | 1 | 1 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 41.67% | 12 | 1 | 4 | 0 | 0 | 0.93 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2 | Steven Lorentz | Chicago Wolves (CAR) | C | 5 | 1 | 4 | 5 | -3 | 0 | 0 | 6 | 13 | 27 | 6 | 18 | 3.70% | 2 | 108 | 21.70 | 1 | 0 | 1 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 56.41% | 156 | 4 | 5 | 0 | 0 | 0.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3 | Matt Nieto | Chicago Wolves (CAR) | C/LW/RW | 5 | 2 | 2 | 4 | -5 | 0 | 0 | 11 | 8 | 28 | 8 | 13 | 7.14% | 4 | 87 | 17.57 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 7 | 8 | 2 | 0 | 0 | 0.91 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
4 | Rob Flick | Chicago Wolves (CAR) | C | 5 | 2 | 2 | 4 | 4 | 0 | 0 | 13 | 5 | 8 | 2 | 6 | 25.00% | 2 | 70 | 14.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 0 | 61.29% | 31 | 3 | 3 | 0 | 0 | 1.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
5 | Jeremy Welsh | Chicago Wolves (CAR) | C/LW/RW | 5 | 2 | 1 | 3 | 4 | 0 | 0 | 7 | 4 | 11 | 1 | 6 | 18.18% | 1 | 65 | 13.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 2 | 2 | 0 | 0 | 0.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6 | Ethan Werek | Chicago Wolves (CAR) | C | 5 | 1 | 2 | 3 | -5 | 2 | 0 | 8 | 4 | 11 | 2 | 5 | 9.09% | 0 | 87 | 17.50 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 48.68% | 76 | 1 | 1 | 0 | 0 | 0.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | Michael Ferland | Chicago Wolves (CAR) | LW/RW | 5 | 1 | 2 | 3 | -3 | 0 | 0 | 13 | 5 | 34 | 12 | 24 | 2.94% | 1 | 107 | 21.40 | 1 | 0 | 1 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 55.56% | 9 | 12 | 4 | 0 | 0 | 0.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8 | Mark Barberio | Chicago Wolves (CAR) | D | 5 | 0 | 2 | 2 | 1 | 2 | 0 | 2 | 0 | 1 | 0 | 1 | 0.00% | 4 | 68 | 13.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Robin Kovacs | Chicago Wolves (CAR) | LW/RW | 5 | 1 | 1 | 2 | -5 | 6 | 0 | 16 | 5 | 7 | 2 | 6 | 14.29% | 0 | 87 | 17.53 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10 | Jacob Moverare | Chicago Wolves (CAR) | D | 5 | 0 | 2 | 2 | -5 | 2 | 0 | 6 | 6 | 6 | 4 | 6 | 0.00% | 8 | 125 | 25.10 | 0 | 1 | 1 | 0 | 4 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | Sebastian Aho (D) | Chicago Wolves (CAR) | D | 5 | 0 | 2 | 2 | -5 | 0 | 0 | 2 | 3 | 14 | 9 | 10 | 0.00% | 10 | 123 | 24.64 | 0 | 0 | 0 | 1 | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 4 | 3 | 0 | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Nils Lundkvist | Chicago Wolves (CAR) | D | 5 | 0 | 1 | 1 | -3 | 0 | 0 | 5 | 10 | 7 | 9 | 5 | 0.00% | 6 | 116 | 23.27 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 9 | 2 | 0 | 0 | 0.17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Maxim Cajkovic | Chicago Wolves (CAR) | LW/RW | 5 | 0 | 1 | 1 | 4 | 0 | 0 | 5 | 3 | 11 | 2 | 6 | 0.00% | 3 | 64 | 12.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 5 | 3 | 0 | 0 | 0.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Christian Jaros | Chicago Wolves (CAR) | D | 5 | 0 | 0 | 0 | -3 | 0 | 0 | 5 | 4 | 6 | 3 | 1 | 0.00% | 9 | 120 | 24.01 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 1 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Andrew Agozzino | Chicago Wolves (CAR) | LW | 5 | 0 | 0 | 0 | -3 | 2 | 0 | 2 | 3 | 4 | 2 | 2 | 0.00% | 0 | 47 | 9.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 100.00% | 1 | 2 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Michael Kesselring | Chicago Wolves (CAR) | D | 5 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 2 | 4 | 0 | 0 | 0.00% | 3 | 69 | 13.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Michael Spacek | Chicago Wolves (CAR) | C | 5 | 0 | 0 | 0 | -3 | 0 | 0 | 4 | 2 | 3 | 2 | 2 | 0.00% | 0 | 45 | 9.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 63.64% | 11 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Justin Danforth | Chicago Wolves (CAR) | RW | 5 | 0 | 0 | 0 | -3 | 0 | 0 | 6 | 5 | 8 | 4 | 7 | 0.00% | 4 | 51 | 10.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 0 | 0 | 66.67% | 3 | 3 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 90 | 14 | 23 | 37 | -35 | 18 | 0 | 127 | 87 | 203 | 73 | 126 | 6.90% | 57 | 1554 | 17.27 | 3 | 4 | 7 | 4 | 31 | 0 | 0 | 0 | 1 | 31 | 1 | 0 | 56.45% | 310 | 57 | 47 | 0 | 0 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 |
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 | Ivan Prosvetov | Chicago Wolves (CAR) | 5 | 1 | 3 | 1 | 0.863 | 4.63 | 259 | 0 | 0 | 20 | 146 | 69 | 1 | 0 | 0.00% | 0 | 5 | 0 | 0 | 0 | 0 |
2 | Adam Huska | Chicago Wolves (CAR) | 2 | 0 | 0 | 0 | 0.833 | 4.53 | 53 | 0 | 0 | 4 | 24 | 14 | 0 | 0 | 0.00% | 0 | 0 | 5 | 0 | 0 | 0 |
Team Total or Average | 7 | 1 | 3 | 1 | 0.859 | 4.62 | 312 | 0 | 0 | 24 | 170 | 83 | 1 | 0 | 0 | 5 | 5 | 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 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 |
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Adam Huska | Chicago Wolves (CAR) | G | 26 | 5/12/1997 | Yes | 214 Lbs | 6 ft4 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Alex Friesen | Chicago Wolves (CAR) | C | 32 | 1/30/1991 | No | 186 Lbs | 5 ft9 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Andrew Agozzino | Chicago Wolves (CAR) | LW | 32 | 1/3/1991 | No | 187 Lbs | 5 ft10 | No | No | No | No | 1 | Pro & Farm | 800,000$ | 0$ | 0$ | No | Link | |||||||||
Austin Fyten | Chicago Wolves (CAR) | LW | 32 | 5/3/1991 | No | 190 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Christian Jaros | Chicago Wolves (CAR) | D | 27 | 4/2/1996 | No | 222 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Danny Biega | Chicago Wolves (CAR) | D | 31 | 9/29/1991 | No | 205 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Ethan Werek | Chicago Wolves (CAR) | C | 32 | 6/7/1991 | No | 189 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 800,000$ | 0$ | 0$ | No | Link | |||||||||
Filip Lindberg | Chicago Wolves (CAR) | G | 24 | 1/31/1999 | Yes | 180 Lbs | 6 ft0 | No | No | No | No | 3 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | Link | |||||||
Ivan Prosvetov | Chicago Wolves (CAR) | G | 24 | 3/5/1999 | Yes | 195 Lbs | 6 ft5 | No | No | No | No | 2 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
Jacob Moverare | Chicago Wolves (CAR) | D | 24 | 8/31/1998 | Yes | 210 Lbs | 6 ft3 | No | No | No | No | 3 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | Link | |||||||
Jake Massie | Chicago Wolves (CAR) | D | 26 | 1/21/1997 4:24:13 PM | Yes | 172 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | ||||||||||
Jeremy Welsh | Chicago Wolves (CAR) | C/LW/RW | 35 | 4/30/1988 | No | 210 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Jonathan Bernier | Chicago Wolves (CAR) | G | 34 | 8/7/1988 | No | 185 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 2,500,000$ | 0$ | 0$ | No | 2,500,000$ | Link / NHL Link | ||||||||
Justin Danforth | Chicago Wolves (CAR) | RW | 30 | 3/15/1993 | No | 180 Lbs | 5 ft9 | No | No | No | No | 4 | Pro & Farm | 975,000$ | 0$ | 0$ | No | 975,000$ | 975,000$ | 975,000$ | Link / NHL Link | ||||||
Mark Barberio | Chicago Wolves (CAR) | D | 33 | 3/23/1990 | No | 200 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 800,000$ | 0$ | 0$ | No | Link | |||||||||
Mark MacMillan | Chicago Wolves (CAR) | LW | 31 | 1/23/1992 | No | 172 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | ||||||||||
Matt Nieto | Chicago Wolves (CAR) | C/LW/RW | 30 | 11/5/1992 | No | 187 Lbs | 5 ft11 | No | No | No | No | 2 | Pro & Farm | 850,000$ | 0$ | 0$ | No | 850,000$ | Link / NHL Link | ||||||||
Maxim Cajkovic | Chicago Wolves (CAR) | LW/RW | 22 | 1/3/2001 | Yes | 185 Lbs | 5 ft11 | No | No | No | No | 3 | Pro & Farm | 850,833$ | 0$ | 0$ | No | 850,833$ | 850,833$ | Link | |||||||
Michael Ferland (1 Way Contract) | Chicago Wolves (CAR) | LW/RW | 31 | 4/20/1992 | No | 215 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 3,500,000$ | 3,500,000$ | 0$ | No | 3,500,000$ | |||||||||
Michael Kesselring | Chicago Wolves (CAR) | D | 23 | 1/13/2000 | Yes | 190 Lbs | 6 ft4 | No | No | No | No | 3 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | Link | |||||||
Michael Spacek | Chicago Wolves (CAR) | C | 26 | 4/9/1997 | Yes | 187 Lbs | 5 ft11 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Mitchell Vande Sompel | Chicago Wolves (CAR) | D | 26 | 2/11/1997 | Yes | 182 Lbs | 5 ft10 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Nikolai Knyzhov | Chicago Wolves (CAR) | D | 25 | 3/20/1998 | Yes | 218 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 796,667$ | 0$ | 0$ | No | Link | |||||||||
Nils Lundkvist | Chicago Wolves (CAR) | D | 22 | 7/27/2000 | Yes | 187 Lbs | 5 ft10 | No | No | No | No | 5 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | 925,000$ | 925,000$ | Link / NHL Link | |||||
Parker Wotherspoon | Chicago Wolves (CAR) | D | 25 | 8/24/1997 | Yes | 187 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
Phil Lane | Chicago Wolves (CAR) | RW | 31 | 5/28/1992 | No | 203 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | ||||||||||
Rob Flick | Chicago Wolves (CAR) | C | 32 | 3/27/1991 | No | 208 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | ||||||||||
Robin Kovacs | Chicago Wolves (CAR) | LW/RW | 26 | 11/16/1996 | Yes | 176 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | ||||||||||
Ryan Reaves | Chicago Wolves (CAR) | RW | 36 | 1/20/1987 | No | 225 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 1,700,000$ | 0$ | 0$ | No | 1,700,000$ | Link / NHL Link | ||||||||
Sebastian Aho (D) | Chicago Wolves (CAR) | D | 27 | 2/17/1996 | No | 184 Lbs | 5 ft10 | No | No | No | No | 4 | Pro & Farm | 825,000$ | 0$ | 0$ | No | 825,000$ | 825,000$ | 825,000$ | Link | ||||||
Spencer Smallman | Chicago Wolves (CAR) | C/LW | 26 | 9/3/1996 | Yes | 198 Lbs | 6 ft1 | No | No | No | No | 3 | Pro & Farm | 762,500$ | 0$ | 0$ | No | 762,500$ | 762,500$ | Link | |||||||
Steven Lorentz | Chicago Wolves (CAR) | C | 27 | 4/13/1996 | No | 206 Lbs | 6 ft4 | No | No | No | No | 4 | Pro & Farm | 1,050,000$ | 0$ | 0$ | No | 1,050,000$ | 1,050,000$ | 1,050,000$ | Link / NHL Link | ||||||
Trent Vogelhuber | Chicago Wolves (CAR) | RW | 34 | 7/12/1988 | No | 185 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | ||||||||||
Veini Vehvilainen | Chicago Wolves (CAR) | G | 26 | 2/13/1997 | Yes | 181 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
34 | 28.47 | 194 Lbs | 6 ft1 | 1.82 | 960,588$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Spencer Smallman | Steven Lorentz | Michael Ferland | 40 | 1 | 2 | 2 |
2 | Matt Nieto | Ethan Werek | Robin Kovacs | 30 | 1 | 2 | 2 |
3 | Jeremy Welsh | Rob Flick | Maxim Cajkovic | 20 | 1 | 2 | 2 |
4 | Andrew Agozzino | Michael Spacek | Justin Danforth | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Sebastian Aho (D) | Jacob Moverare | 40 | 1 | 2 | 2 | |
2 | Nils Lundkvist | Christian Jaros | 30 | 1 | 2 | 2 | |
3 | Michael Kesselring | Mark Barberio | 20 | 1 | 2 | 2 | |
4 | Nils Lundkvist | Christian Jaros | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Spencer Smallman | Steven Lorentz | Michael Ferland | 60 | 1 | 2 | 2 |
2 | Matt Nieto | Ethan Werek | Robin Kovacs | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Sebastian Aho (D) | Jacob Moverare | 60 | 1 | 2 | 2 | |
2 | Nils Lundkvist | Christian Jaros | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Rob Flick | Justin Danforth | 60 | 1 | 2 | 2 |
2 | Michael Spacek | Andrew Agozzino | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Jacob Moverare | Christian Jaros | 60 | 1 | 2 | 2 |
2 | Sebastian Aho (D) | Nils Lundkvist | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Rob Flick | 60 | 1 | 2 | 2 | Jacob Moverare | Christian Jaros | 60 | 1 | 2 | 2 |
2 | Michael Spacek | 40 | 1 | 2 | 2 | Sebastian Aho (D) | Nils Lundkvist | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Steven Lorentz | Matt Nieto | 60 | 1 | 2 | 2 |
2 | Ethan Werek | Michael Ferland | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Sebastian Aho (D) | Michael Kesselring | 60 | 1 | 2 | 2 |
2 | Christian Jaros | Jacob Moverare | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Matt Nieto | Steven Lorentz | Justin Danforth | Sebastian Aho (D) | Jacob Moverare |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Justin Danforth | Rob Flick | Andrew Agozzino | Jacob Moverare | Christian Jaros |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Michael Ferland, Rob Flick, Ethan Werek | Michael Ferland, Justin Danforth | Justin Danforth |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Nils Lundkvist, Jacob Moverare, Sebastian Aho (D) | Michael Kesselring | Sebastian Aho (D), Christian Jaros |
Penalty Shots |
---|
Rob Flick, Nils Lundkvist, Matt Nieto, Michael Kesselring, Justin Danforth |
Goalie |
---|
#1 : Ivan Prosvetov, #2 : Adam Huska |
Custom OT Lines Forwards |
---|
Rob Flick, Justin Danforth, Matt Nieto, Michael Ferland, Steven Lorentz, Ethan Werek, Ethan Werek, Andrew Agozzino, Jeremy Welsh, Michael Spacek, Spencer Smallman |
Custom OT Lines Defensemen |
---|
Sebastian Aho (D), Jacob Moverare, Nils Lundkvist, Christian Jaros, Michael Kesselring |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | 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 | Henderson Silver Knights | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 14 | 24 | -10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 17 | -9 | 2 | 0.200 | 14 | 23 | 37 | 0 | 0 | 5 | 4 | 5 | 0 | 203 | 45 | 80 | 72 | 6 | 170 | 57 | 18 | 127 | 6 | 3 | 50.00% | 9 | 6 | 33.33% | 0 | 72 | 127 | 56.69% | 60 | 102 | 58.82% | 43 | 81 | 53.09% | 111 | 64 | 102 | 47 | 99 | 46 |
Total | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 14 | 24 | -10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 17 | -9 | 2 | 0.200 | 14 | 23 | 37 | 0 | 0 | 5 | 4 | 5 | 0 | 203 | 45 | 80 | 72 | 6 | 170 | 57 | 18 | 127 | 6 | 3 | 50.00% | 9 | 6 | 33.33% | 0 | 72 | 127 | 56.69% | 60 | 102 | 58.82% | 43 | 81 | 53.09% | 111 | 64 | 102 | 47 | 99 | 46 | |
_Since Last GM Reset | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 14 | 24 | -10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 17 | -9 | 2 | 0.200 | 14 | 23 | 37 | 0 | 0 | 5 | 4 | 5 | 0 | 203 | 45 | 80 | 72 | 6 | 170 | 57 | 18 | 127 | 6 | 3 | 50.00% | 9 | 6 | 33.33% | 0 | 72 | 127 | 56.69% | 60 | 102 | 58.82% | 43 | 81 | 53.09% | 111 | 64 | 102 | 47 | 99 | 46 | |
_Vs Conference | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 14 | 24 | -10 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 17 | -9 | 2 | 0.200 | 14 | 23 | 37 | 0 | 0 | 5 | 4 | 5 | 0 | 203 | 45 | 80 | 72 | 6 | 170 | 57 | 18 | 127 | 6 | 3 | 50.00% | 9 | 6 | 33.33% | 0 | 72 | 127 | 56.69% | 60 | 102 | 58.82% | 43 | 81 | 53.09% | 111 | 64 | 102 | 47 | 99 | 46 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
5 | 2 | OTL1 | 14 | 23 | 37 | 203 | 170 | 57 | 18 | 127 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 1 | 4 | 0 | 0 | 0 | 0 | 14 | 24 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 6 | 7 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 0 | 3 | 0 | 0 | 0 | 0 | 8 | 17 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
1 | 3 | 0 | 1 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
6 | 3 | 50.00% | 9 | 6 | 33.33% | 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 |
---|---|---|---|---|---|---|---|
45 | 80 | 72 | 6 | 5 | 4 | 5 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
72 | 127 | 56.69% | 60 | 102 | 58.82% | 43 | 81 | 53.09% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
111 | 64 | 102 | 47 | 99 | 46 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
1 - 2023-03-04 | 7 | Chicago Wolves | 2 | Henderson Silver Knights | 8 | AL | BoxScore | |||
2 - 2023-03-05 | 15 | Chicago Wolves | 4 | Henderson Silver Knights | 6 | AL | BoxScore | |||
3 - 2023-03-06 | 23 | Henderson Silver Knights | 4 | Chicago Wolves | 2 | BL | BoxScore | |||
4 - 2023-03-07 | 31 | Henderson Silver Knights | 3 | Chicago Wolves | 4 | BW | BoxScore | |||
5 - 2023-03-08 | 39 | Chicago Wolves | 2 | Henderson Silver Knights | 3 | AL | X | BoxScore |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 0 | 0 |
Attendance PCT | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
39 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
0$ | 2,916,000$ | 2,876,000$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
# | 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 |
---|
# | 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 |
---|