Wranglers | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Martin Landry | Morale : 40 | Team Overall : 62 |
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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 | William Carrier | X | 100.00 | 86 | 52 | 87 | 73 | 77 | 76 | 51 | 64 | 57 | 53 | 68 | 59 | 50 | 78 | 66 | 0 | 40 | 69 | 0 | 30 | 2 | 1,000,000$ | ||||
2 | Josh Doan (R) | X | 100.00 | 53 | 50 | 90 | 63 | 67 | 77 | 30 | 55 | 38 | 64 | 70 | 58 | 41 | 56 | 71 | 0 | 40 | 67 | 0 | 22 | 3 | 925,000$ | ||||
3 | Joel Kiviranta | X | 100.00 | 66 | 51 | 89 | 68 | 62 | 70 | 71 | 55 | 50 | 61 | 58 | 66 | 51 | 70 | 61 | 0 | 40 | 66 | N | 0 | 28 | 1 | 775,000$ | |||
4 | Karson Kuhlman | X | 100.00 | 61 | 51 | 90 | 73 | 58 | 60 | 55 | 56 | 45 | 50 | 54 | 66 | 48 | 72 | 61 | 0 | 40 | 64 | 0 | 29 | 2 | 700,000$ | ||||
5 | Anders Bjork | X | 100.00 | 51 | 52 | 64 | 73 | 65 | 60 | 55 | 64 | 45 | 55 | 53 | 54 | 40 | 73 | 85 | 0 | 40 | 63 | 0 | 28 | 3 | 1,800,000$ | ||||
6 | Nathan Smith | X | 100.00 | 60 | 50 | 63 | 73 | 62 | 60 | 55 | 55 | 45 | 50 | 50 | 52 | 30 | 63 | 51 | 0 | 40 | 60 | 0 | 26 | 1 | 775,000$ | ||||
7 | Callahan Burke | X | 100.00 | 80 | 50 | 90 | 63 | 58 | 72 | 30 | 55 | 37 | 50 | 50 | 50 | 30 | 63 | 55 | 0 | 40 | 59 | 0 | 27 | 5 | 775,000$ | ||||
8 | Ondrej Pavel (R) | X | 100.00 | 51 | 50 | 63 | 63 | 74 | 71 | 30 | 55 | 47 | 50 | 50 | 53 | 30 | 58 | 54 | 0 | 40 | 59 | N | 0 | 24 | 5 | 870,000$ | |||
9 | Anton Blidh | X | 100.00 | 57 | 50 | 55 | 63 | 69 | 70 | 30 | 55 | 37 | 50 | 50 | 50 | 30 | 77 | 56 | 0 | 40 | 58 | 0 | 29 | 3 | 750,000$ | ||||
10 | Henrik Haapala | X | 100.00 | 44 | 45 | 55 | 73 | 51 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 54 | 62 | 0 | 40 | 57 | 0 | 30 | 1 | 925,000$ | ||||
11 | Nikolai Knyzhov | X | 100.00 | 59 | 50 | 74 | 63 | 80 | 83 | 30 | 55 | 35 | 51 | 51 | 66 | 32 | 68 | 59 | 0 | 40 | 65 | 0 | 26 | 3 | 830,000$ | ||||
12 | Lawrence Pilut | X | 100.00 | 47 | 50 | 90 | 73 | 63 | 60 | 55 | 55 | 35 | 54 | 52 | 59 | 30 | 72 | 59 | 0 | 40 | 63 | 0 | 29 | 2 | 925,000$ | ||||
13 | Roland McKeown | X | 100.00 | 49 | 50 | 55 | 73 | 69 | 60 | 55 | 55 | 31 | 50 | 50 | 54 | 30 | 73 | 54 | 0 | 40 | 61 | 0 | 28 | 2 | 750,000$ | ||||
14 | Nicolas Beaudin | X | 100.00 | 39 | 50 | 90 | 73 | 58 | 60 | 55 | 55 | 30 | 50 | 50 | 50 | 30 | 63 | 47 | 0 | 40 | 58 | 0 | 25 | 2 | 832,500$ | ||||
Scratches | |||||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 57 | 50 | 75 | 69 | 65 | 67 | 47 | 56 | 40 | 53 | 54 | 56 | 36 | 67 | 60 | 0 | 40 | 62 |
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 | Jett Alexander | 100.00 | 63 | 30 | 65 | 90 | 55 | 55 | 56 | 67 | 50 | 52 | 50 | 57 | 53 | 0 | 40 | 59 | 0 | 25 | 2 | 750,000$ | |
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 63 | 30 | 65 | 90 | 55 | 55 | 56 | 67 | 50 | 52 | 50 | 57 | 53 | 0 | 40 | 59 |
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 | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contrat Signature Date | 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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Anders Bjork | Wranglers (NE ) | LW | 28 | 1996-08-05 | No | 190 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | Pro & Farm | 1,800,000$ | 1,800,000$ | 0$ | 0$ | No | 1,800,000$ | 1,800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Anton Blidh | Wranglers (NE ) | LW | 29 | 1995-03-14 | No | 196 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Callahan Burke | Wranglers (NE ) | C | 27 | 1997-03-19 | No | 183 Lbs | 5 ft10 | No | No | N/A | No | No | 5 | 2024-08-12 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
Henrik Haapala | Wranglers (NE ) | RW | 30 | 1994-02-28 | No | 165 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jett Alexander | Wranglers (NE ) | G | 25 | 1999-11-08 | No | 214 Lbs | 6 ft5 | No | No | N/A | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Joel Kiviranta | Wranglers (NE ) | LW | 28 | 1996-03-23 | No | 185 Lbs | 5 ft11 | Yes | No | Assign Manually | No | No | 1 | 2024-10-10 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Josh Doan | Wranglers (NE ) | RW | 22 | 2002-02-01 | Yes | 183 Lbs | 6 ft1 | No | No | Trade (Prospect) | No | No | 3 | 2024-08-08 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
Karson Kuhlman | Wranglers (NE ) | C | 29 | 1995-09-26 | No | 184 Lbs | 5 ft10 | No | No | N/A | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Lawrence Pilut | Wranglers (NE ) | D | 29 | 1995-12-30 | No | 194 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Nathan Smith | Wranglers (NE ) | C | 26 | 1998-10-19 | No | 177 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | 2024-08-12 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Nicolas Beaudin | Wranglers (NE ) | D | 25 | 1999-10-07 | No | 168 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | Pro & Farm | 832,500$ | 832,500$ | 0$ | 0$ | No | 832,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Nikolai Knyzhov | Wranglers (NE ) | D | 26 | 1998-03-20 | No | 222 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | Pro & Farm | 830,000$ | 830,000$ | 0$ | 0$ | No | 830,000$ | 830,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Ondrej Pavel | Wranglers (NE ) | C | 24 | 2000-08-29 | Yes | 205 Lbs | 6 ft2 | Yes | No | Assign Manually | No | No | 5 | 2024-10-15 | Pro & Farm | 870,000$ | 870,000$ | 0$ | 0$ | No | 870,000$ | 870,000$ | 870,000$ | 870,000$ | - | - | - | - | - | Yes | Yes | Yes | Yes | - | - | - | - | - | ||
Roland McKeown | Wranglers (NE ) | D | 28 | 1996-01-20 | No | 195 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
William Carrier | Wranglers (NE ) | LW | 30 | 1994-12-20 | No | 220 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
15 | 27.07 | 192 Lbs | 6 ft0 | 2.47 | 892,167$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Anders Bjork | 34 | 1 | 2 | 2 | ||
2 | Anton Blidh | 30 | 1 | 2 | 2 | ||
3 | 26 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Lawrence Pilut | Nikolai Knyzhov | 34 | 1 | 2 | 2 | |
2 | Roland McKeown | 30 | 1 | 2 | 2 | ||
3 | Nicolas Beaudin | 26 | 1 | 2 | 2 | ||
4 | Lawrence Pilut | Nikolai Knyzhov | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Anders Bjork | 51 | 1 | 2 | 2 | ||
2 | Anton Blidh | 49 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Lawrence Pilut | Nikolai Knyzhov | 51 | 1 | 2 | 2 | |
2 | Roland McKeown | 49 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 51 | 1 | 2 | 2 | ||
2 | Anders Bjork | 49 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Lawrence Pilut | Nikolai Knyzhov | 51 | 1 | 2 | 2 |
2 | Roland McKeown | 49 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 51 | 1 | 2 | 2 | Lawrence Pilut | Nikolai Knyzhov | 51 | 1 | 2 | 2 | |
2 | 49 | 1 | 2 | 2 | Roland McKeown | 49 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 51 | 1 | 2 | 2 | ||
2 | Anders Bjork | 49 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Lawrence Pilut | Nikolai Knyzhov | 51 | 1 | 2 | 2 |
2 | Roland McKeown | 49 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Anders Bjork | Lawrence Pilut | Nikolai Knyzhov |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Anders Bjork | Lawrence Pilut | Nikolai Knyzhov |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, Henrik Haapala, | , Henrik Haapala |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Nicolas Beaudin, , Roland McKeown | Nicolas Beaudin | , Roland McKeown |
Penalty Shots |
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, , , Anders Bjork, |
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 ) |
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 |
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 | 0 | 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 | |
Capacity | 2000 | 1000 |
Ticket Price | 35 | 0 |
Attendance | 0% | 0% |
Attendance PCT | 0% | 0% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity | 0 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
0$ | 0$ | 0$ | 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 |
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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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