Calgary Wranglers | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Carl Ducasse | Morale : 50 | Team Overall : N/A |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Brad Richardson | X | X | 100.00 | 68 | 37 | 80 | 62 | 73 | 77 | 78 | 60 | 85 | 61 | 60 | 72 | 59 | 86 | 78 | 22 | 50 | 0 | 0 | 37 | 1 | 1,400,000$ | |||
2 | Pat Maroon | X | 100.00 | 77 | 82 | 64 | 62 | 91 | 79 | 88 | 63 | 57 | 67 | 64 | 56 | 61 | 79 | 74 | 26 | 50 | 0 | 0 | 34 | 4 | 1,000,000$ | ||||
3 | Michael Raffl | X | X | X | 100.00 | 76 | 39 | 87 | 63 | 78 | 84 | 89 | 64 | 61 | 63 | 64 | 77 | 64 | 78 | 76 | 23 | 47 | 0 | 0 | 33 | 4 | 1,651,000$ | ||
4 | Danton Heinen | X | X | X | 100.00 | 62 | 35 | 93 | 67 | 75 | 82 | 89 | 67 | 59 | 66 | 70 | 67 | 69 | 71 | 68 | 51 | 62 | 0 | 0 | 27 | 4 | 1,100,000$ | ||
5 | Jonny Brodzinski | X | 100.00 | 67 | 38 | 81 | 66 | 80 | 85 | 79 | 64 | 75 | 65 | 67 | 68 | 64 | 69 | 73 | 45 | 50 | 0 | 0 | 29 | 4 | 750,000$ | ||||
6 | Brett Howden | X | 100.00 | 70 | 39 | 92 | 63 | 80 | 79 | 83 | 62 | 80 | 66 | 63 | 79 | 66 | 65 | 67 | 78 | 47 | 0 | 0 | 24 | 3 | 832,500$ | ||||
7 | Nathan Bastian (R) | X | X | 100.00 | 90 | 78 | 73 | 63 | 88 | 79 | 87 | 64 | 55 | 63 | 66 | 58 | 64 | 66 | 65 | 71 | 50 | 0 | 0 | 24 | 3 | 700,000$ | |||
8 | Rasmus Kupari (R) | X | 100.00 | 73 | 38 | 87 | 65 | 80 | 79 | 85 | 67 | 76 | 66 | 65 | 64 | 68 | 63 | 66 | 82 | 48 | 0 | 0 | 22 | 2 | 832,500$ | ||||
9 | Steven Lorentz (R) | X | 100.00 | 65 | 38 | 95 | 64 | 88 | 77 | 86 | 65 | 80 | 62 | 61 | 56 | 62 | 66 | 67 | 56 | 50 | 0 | 0 | 26 | 4 | 750,000$ | ||||
10 | Paul LaDue | X | 100.00 | 79 | 40 | 92 | 59 | 83 | 81 | 79 | 58 | 30 | 59 | 57 | 66 | 50 | 69 | 72 | 39 | 50 | 0 | 0 | 30 | 3 | 700,000$ | ||||
11 | Tucker Poolman | X | 100.00 | 71 | 36 | 85 | 63 | 80 | 85 | 76 | 58 | 30 | 60 | 55 | 76 | 50 | 69 | 71 | 47 | 50 | 0 | 0 | 29 | 4 | 1,750,000$ | ||||
12 | Ben Harpur (R) | X | 100.00 | 73 | 52 | 70 | 62 | 99 | 86 | 76 | 59 | 30 | 70 | 55 | 72 | 46 | 67 | 69 | 53 | 50 | 0 | 0 | 27 | 2 | 800,000$ | ||||
13 | Dillon Heatherington (R) | X | 100.00 | 81 | 41 | 82 | 59 | 89 | 77 | 78 | 56 | 30 | 58 | 57 | 64 | 49 | 67 | 69 | 61 | 50 | 0 | 0 | 27 | 2 | 700,000$ | ||||
14 | Juuso Riikola | X | 100.00 | 82 | 37 | 80 | 65 | 72 | 79 | 81 | 63 | 30 | 67 | 58 | 61 | 50 | 69 | 71 | 36 | 50 | 0 | 0 | 28 | 3 | 1,000,000$ | ||||
15 | Jakub Zboril (R) | X | 100.00 | 77 | 35 | 87 | 69 | 76 | 85 | 73 | 68 | 30 | 74 | 55 | 67 | 53 | 64 | 65 | 82 | 43 | 0 | 0 | 25 | 3 | 700,000$ | ||||
16 | Nicolas Meloche (R) | X | 100.00 | 86 | 43 | 75 | 63 | 86 | 82 | 85 | 62 | 30 | 64 | 59 | 67 | 50 | 65 | 66 | 72 | 50 | 0 | 0 | 25 | 4 | 750,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Brendan Perlini | X | X | 100.00 | 75 | 42 | 86 | 64 | 86 | 71 | 70 | 64 | 53 | 62 | 68 | 55 | 64 | 66 | 68 | 81 | 50 | 0 | 0 | 26 | 3 | 950,000$ | |||
2 | J.C. Beaudin (R) | X | 100.00 | 68 | 39 | 78 | 58 | 77 | 74 | 75 | 57 | 66 | 59 | 56 | 57 | 54 | 65 | 67 | 63 | 50 | 0 | 0 | 25 | 0 | 0$ | ||||
3 | Cody Goloubef | X | 100.00 | 66 | 34 | 74 | 55 | 76 | 71 | 67 | 54 | 30 | 53 | 56 | 52 | 45 | 73 | 75 | 52 | 50 | 0 | 0 | 32 | 1 | 700,000$ | ||||
4 | Cameron Gaunce | X | 100.00 | 67 | 39 | 77 | 60 | 76 | 72 | 85 | 58 | 30 | 61 | 55 | 59 | 47 | 72 | 74 | 42 | 50 | 0 | 0 | 32 | 2 | 700,000$ | ||||
5 | Stephen Johns | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 35 | 32 | 11 | 50 | 0 | 0 | 30 | 3 | 950,000$ | ||||
6 | Igor Ozhiganov | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 40 | 40 | 11 | 50 | 0 | 0 | 29 | 1 | 925,000$ | ||||
TEAM AVERAGE | 100.00 | 71 | 42 | 78 | 61 | 77 | 79 | 81 | 60 | 48 | 61 | 59 | 62 | 54 | 67 | 67 | 50 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kaapo Kahkonen (R) | 100.00 | 79 | 90 | 86 | 84 | 81 | 80 | 82 | 81 | 82 | 69 | 88 | 66 | 75 | 99 | 52 | 0 | 0 | 26 | 3 | 700,000$ | |
Scratches | |||||||||||||||||||||||
1 | Jonas Johansson (R) | 100.00 | 61 | 82 | 78 | 93 | 71 | 71 | 73 | 72 | 73 | 60 | 74 | 66 | 77 | 99 | 50 | 0 | 0 | 27 | 3 | 700,000$ | |
TEAM AVERAGE | 100.00 | 70 | 86 | 82 | 89 | 76 | 76 | 78 | 77 | 78 | 65 | 81 | 66 | 76 | 99 | 51 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Calgary | 30 | 30 | 30 | 30 | 30 | 30 | 11 | CAN | 42 | 2 | 40,000$ |
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 | Force Waivers | Contract | 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 | Link |
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Ben Harpur | Calgary Wranglers (CAL) | D | 27 | 1/12/1995 | Yes | 231 Lbs | 6 ft6 | No | No | No | 2 | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 800,000$ | Link | ||||||||
Brad Richardson | Calgary Wranglers (CAL) | C/RW | 37 | 7/28/1985 | No | 190 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 1,400,000$ | 1,400,000$ | 0$ | 0$ | No | Link | |||||||||
Brendan Perlini | Calgary Wranglers (CAL) | LW/RW | 26 | 4/27/1996 | No | 211 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | 950,000$ | 950,000$ | Link | |||||||
Brett Howden | Calgary Wranglers (CAL) | C | 24 | 3/29/1998 | No | 197 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 832,500$ | 832,500$ | 0$ | 0$ | No | 832,500$ | 832,500$ | Link | |||||||
Cameron Gaunce | Calgary Wranglers (CAL) | D | 32 | 3/19/1990 3:34:39 PM | No | 194 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | Link | ||||||||
Cody Goloubef | Calgary Wranglers (CAL) | D | 32 | 11/30/1989 2:40:59 PM | No | 190 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | Link | |||||||||
Danton Heinen | Calgary Wranglers (CAL) | C/LW/RW | 27 | 7/5/1995 | No | 188 Lbs | 6 ft1 | No | No | No | 4 | Pro & Farm | 1,100,000$ | 1,100,000$ | 0$ | 0$ | No | 1,100,000$ | 1,100,000$ | 1,100,000$ | Link | ||||||
Dillon Heatherington | Calgary Wranglers (CAL) | D | 27 | 5/9/1995 | Yes | 215 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | Link | ||||||||
Igor Ozhiganov | Calgary Wranglers (CAL) | D | 29 | 10/13/1992 | No | 210 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | ||||||||||
J.C. Beaudin | Calgary Wranglers (CAL) | C | 25 | 3/25/1997 | Yes | 196 Lbs | 6 ft1 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link | |||||||||||
Jakub Zboril | Calgary Wranglers (CAL) | D | 25 | 2/21/1997 | Yes | 191 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | 700,000$ | Link | |||||||
Jonas Johansson | Calgary Wranglers (CAL) | G | 27 | 9/19/1995 | Yes | 220 Lbs | 6 ft5 | No | No | No | 3 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | 700,000$ | Link | |||||||
Jonny Brodzinski | Calgary Wranglers (CAL) | RW | 29 | 6/19/1993 | No | 211 Lbs | 6 ft1 | No | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | Link | ||||||
Juuso Riikola | Calgary Wranglers (CAL) | D | 28 | 11/9/1993 | No | 189 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | Link | |||||||
Kaapo Kahkonen | Calgary Wranglers (CAL) | G | 26 | 8/16/1996 | Yes | 217 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | 700,000$ | Link | |||||||
Michael Raffl | Calgary Wranglers (CAL) | C/LW/RW | 33 | 12/1/1988 | No | 205 Lbs | 6 ft1 | Yes | No | No | 4 | Pro & Farm | 1,651,000$ | 1,651,000$ | 0$ | 0$ | No | 1,651,000$ | 1,651,000$ | 1,651,000$ | Link | ||||||
Nathan Bastian | Calgary Wranglers (CAL) | C/LW | 24 | 12/6/1997 | Yes | 205 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | 700,000$ | Link | |||||||
Nicolas Meloche | Calgary Wranglers (CAL) | D | 25 | 7/18/1997 | Yes | 211 Lbs | 6 ft3 | No | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | Link | ||||||
Pat Maroon | Calgary Wranglers (CAL) | LW | 34 | 7/27/1988 | No | 238 Lbs | 6 ft3 | No | No | No | 4 | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | 1,000,000$ | Link | ||||||
Paul LaDue | Calgary Wranglers (CAL) | D | 30 | 9/6/1992 | No | 200 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | 700,000$ | Link | |||||||
Rasmus Kupari | Calgary Wranglers (CAL) | C | 22 | 3/15/2000 | Yes | 200 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 832,500$ | 832,500$ | 0$ | 0$ | No | 832,500$ | Link | ||||||||
Stephen Johns | Calgary Wranglers (CAL) | D | 30 | 4/18/1992 | No | 225 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | 950,000$ | 950,000$ | Link | |||||||
Steven Lorentz | Calgary Wranglers (CAL) | LW | 26 | 4/13/1996 | Yes | 206 Lbs | 6 ft4 | No | No | No | 4 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | Link | ||||||
Tucker Poolman | Calgary Wranglers (CAL) | D | 29 | 6/8/1993 | No | 199 Lbs | 6 ft2 | No | No | No | 4 | Pro & Farm | 1,750,000$ | 1,750,000$ | 0$ | 0$ | No | 1,750,000$ | 1,750,000$ | 1,750,000$ | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
24 | 28.08 | 206 Lbs | 6 ft2 | 2.75 | 876,708$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , |
Penalty Shots |
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, , , , |
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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
0 | 0 | 0.00% | 0 | 0 | 0.00% | 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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
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 | 15 |
Attendance | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
0$ | 2,104,100$ | 1,834,866$ | 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$ | 14 | 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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