Cleveland Monsters | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Alexandre Fyfe | Morale : 50 | Team Overall : N/A Next Games #7 vs Abbotsford Canucks |
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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 | Nathan Gerbe | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 48 | 39 | 11 | 50 | 0 | 0 | 35 | 2 | 750,000$ | ||||
2 | Brandon Pirri | X | X | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 39 | 34 | 11 | 50 | 0 | 0 | 32 | 2 | 775,000$ | ||
3 | Tye McGinn | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 29 | 29 | 11 | 50 | 0 | 0 | 32 | 2 | 750,000$ | ||||
4 | Paul Carey | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 30 | 29 | 11 | 50 | 0 | 0 | 34 | 2 | 750,000$ | ||||
5 | Joakim Nordstrom | X | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 53 | 42 | 11 | 50 | 0 | 0 | 30 | 1 | 1,100,000$ | |||
6 | Danick Martel (R) | X | 100.00 | 58 | 42 | 64 | 56 | 67 | 89 | 81 | 57 | 60 | 58 | 59 | 54 | 56 | 68 | 70 | 36 | 50 | 0 | 0 | 27 | 4 | 950,000$ | ||||
7 | Phillip Di Giuseppe | X | 100.00 | 82 | 39 | 84 | 65 | 73 | 91 | 72 | 66 | 56 | 67 | 59 | 63 | 65 | 70 | 71 | 61 | 50 | 0 | 0 | 28 | 2 | 700,000$ | ||||
8 | Cole Sillinger (R) | X | 100.00 | 66 | 39 | 78 | 69 | 81 | 85 | 95 | 68 | 82 | 67 | 70 | 64 | 73 | 61 | 65 | 87 | 41 | 0 | 0 | 19 | 2 | 925,000$ | ||||
9 | Vasily Podkolzin (R) | X | 100.00 | 64 | 35 | 82 | 72 | 75 | 81 | 83 | 70 | 56 | 64 | 67 | 58 | 71 | 61 | 64 | 86 | 43 | 0 | 0 | 21 | 2 | 925,000$ | ||||
10 | Mirco Mueller | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 35 | 32 | 11 | 50 | 0 | 0 | 27 | 1 | 925,000$ | ||||
11 | Andrew Campbell | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 40 | 40 | 11 | 50 | 0 | 0 | 34 | 1 | 1,499,999$ | ||||
12 | Brandon Davidson | X | 100.00 | 82 | 43 | 70 | 59 | 82 | 81 | 65 | 56 | 30 | 55 | 52 | 68 | 46 | 71 | 73 | 38 | 44 | 0 | 0 | 31 | 2 | 750,000$ | ||||
13 | Zach Trotman | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 30 | 29 | 11 | 50 | 0 | 0 | 32 | 2 | 750,000$ | ||||
14 | Luke Witkowski | X | 100.00 | 63 | 34 | 87 | 58 | 82 | 71 | 78 | 57 | 30 | 56 | 55 | 59 | 48 | 72 | 74 | 33 | 50 | 0 | 0 | 34 | 2 | 750,000$ | ||||
15 | Andreas Englund (R) | X | 100.00 | 72 | 46 | 61 | 57 | 81 | 63 | 85 | 56 | 30 | 55 | 53 | 58 | 45 | 66 | 68 | 72 | 50 | 0 | 0 | 26 | 3 | 700,000$ | ||||
16 | Dennis Cholowski (R) | X | 100.00 | 64 | 38 | 92 | 69 | 80 | 82 | 73 | 67 | 30 | 71 | 59 | 61 | 52 | 64 | 66 | 80 | 47 | 0 | 0 | 24 | 1 | 832,500$ | ||||
17 | Calen Addison | X | 100.00 | 63 | 34 | 87 | 70 | 67 | 84 | 82 | 67 | 30 | 68 | 67 | 62 | 56 | 62 | 64 | 71 | 47 | 0 | 0 | 22 | 1 | 792,500$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Drew Stafford | X | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 40 | 40 | 11 | 50 | 0 | 0 | 36 | 2 | 750,000$ | |||
2 | Cody Bass | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 40 | 40 | 11 | 50 | 0 | 0 | 35 | 1 | 1,499,999$ | ||||
3 | Jordan Szwarz | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 28 | 28 | 11 | 50 | 0 | 0 | 31 | 2 | 750,000$ | ||||
4 | Emerson Etem | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 40 | 40 | 11 | 50 | 0 | 0 | 30 | 1 | 1,499,999$ | ||||
TEAM AVERAGE | 100.00 | 52 | 37 | 56 | 50 | 53 | 80 | 85 | 50 | 31 | 50 | 49 | 49 | 42 | 50 | 49 | 33 | 49 | 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 | Anders Lindback | 100.00 | 40 | 90 | 70 | 40 | 40 | 40 | 40 | 40 | 40 | 35 | 40 | 25 | 25 | 11 | 31 | 0 | 0 | 34 | 1 | 1,499,999$ | |
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 40 | 90 | 70 | 40 | 40 | 40 | 40 | 40 | 40 | 35 | 40 | 25 | 25 | 11 | 31 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Columbus | 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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Anders Lindback | Cleveland Monsters (CBJ) | G | 34 | 5/3/1988 2:38:17 PM | No | 205 Lbs | 6 ft6 | No | No | No | 1 | Pro & Farm | 1,499,999$ | 1,499,999$ | 0$ | 0$ | No | Link | |||||||||
Andreas Englund | Cleveland Monsters (CBJ) | D | 26 | 1/21/1996 | Yes | 189 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | 700,000$ | Link | |||||||
Andrew Campbell | Cleveland Monsters (CBJ) | D | 34 | 7/27/1988 10:13:09 PM | No | 201 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 1,499,999$ | 1,499,999$ | 0$ | 0$ | No | Link | |||||||||
Brandon Davidson | Cleveland Monsters (CBJ) | D | 31 | 8/21/1991 | No | 209 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
Brandon Pirri | Cleveland Monsters (CBJ) | C/LW/RW | 32 | 4/10/1990 | No | 180 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | Link | ||||||||
Calen Addison | Cleveland Monsters (CBJ) | D | 22 | 4/11/2000 | No | 173 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 792,500$ | 792,500$ | 0$ | 0$ | No | Link | |||||||||
Cody Bass | Cleveland Monsters (CBJ) | C | 35 | 7/28/1987 4:13:09 PM | No | 211 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 1,499,999$ | 1,499,999$ | 0$ | 0$ | No | Link | |||||||||
Cole Sillinger | Cleveland Monsters (CBJ) | C | 19 | 5/16/2003 | Yes | 203 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Link | ||||||||
Danick Martel | Cleveland Monsters (CBJ) | LW | 27 | 12/12/1994 | Yes | 184 Lbs | 5 ft9 | No | No | No | 4 | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | 950,000$ | 950,000$ | 950,000$ | Link | ||||||
Dennis Cholowski | Cleveland Monsters (CBJ) | D | 24 | 2/15/1998 | Yes | 197 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 832,500$ | 832,500$ | 0$ | 0$ | No | Link | |||||||||
Drew Stafford | Cleveland Monsters (CBJ) | LW/RW | 36 | 7/28/1986 | No | 214 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
Emerson Etem | Cleveland Monsters (CBJ) | RW | 30 | 6/16/1992 | No | 210 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 1,499,999$ | 1,499,999$ | 0$ | 0$ | No | Link | |||||||||
Joakim Nordstrom | Cleveland Monsters (CBJ) | C/LW | 30 | 2/25/1992 | No | 194 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 1,100,000$ | 1,100,000$ | 0$ | 0$ | No | Link | |||||||||
Jordan Szwarz | Cleveland Monsters (CBJ) | RW | 31 | 5/14/1991 | No | 192 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
Luke Witkowski | Cleveland Monsters (CBJ) | D | 34 | 9/13/1988 | No | 210 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
Mirco Mueller | Cleveland Monsters (CBJ) | D | 27 | 3/21/1995 | No | 210 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | Link | |||||||||
Nathan Gerbe | Cleveland Monsters (CBJ) | C | 35 | 7/28/1987 | No | 176 Lbs | 5 ft4 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
Paul Carey | Cleveland Monsters (CBJ) | C | 34 | 9/24/1988 | No | 196 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
Phillip Di Giuseppe | Cleveland Monsters (CBJ) | LW | 28 | 10/9/1993 | No | 193 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | 700,000$ | Link | ||||||||
Tye McGinn | Cleveland Monsters (CBJ) | LW | 32 | 7/29/1990 | No | 218 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
Vasily Podkolzin | Cleveland Monsters (CBJ) | RW | 21 | 6/24/2001 | Yes | 190 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Link | ||||||||
Zach Trotman | Cleveland Monsters (CBJ) | D | 32 | 8/26/1990 | No | 217 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
22 | 29.73 | 199 Lbs | 6 ft1 | 1.77 | 937,500$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Phillip Di Giuseppe | Cole Sillinger | Vasily Podkolzin | 38 | 1 | 2 | 2 |
2 | Danick Martel | 30 | 1 | 2 | 2 | ||
3 | Tye McGinn | Joakim Nordstrom | 22 | 1 | 2 | 2 | |
4 | Cole Sillinger | Nathan Gerbe | Vasily Podkolzin | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Calen Addison | Dennis Cholowski | 38 | 1 | 2 | 2 | |
2 | Brandon Davidson | Luke Witkowski | 30 | 1 | 2 | 2 | |
3 | Andreas Englund | Mirco Mueller | 22 | 1 | 2 | 2 | |
4 | Calen Addison | Dennis Cholowski | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Phillip Di Giuseppe | Cole Sillinger | Vasily Podkolzin | 60 | 1 | 2 | 2 |
2 | Danick Martel | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Calen Addison | Dennis Cholowski | 60 | 1 | 2 | 2 | |
2 | Brandon Davidson | Luke Witkowski | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Cole Sillinger | Vasily Podkolzin | 60 | 1 | 2 | 2 |
2 | Phillip Di Giuseppe | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Calen Addison | Dennis Cholowski | 60 | 1 | 2 | 2 |
2 | Brandon Davidson | Luke Witkowski | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Cole Sillinger | 60 | 1 | 2 | 2 | Calen Addison | Dennis Cholowski | 60 | 1 | 2 | 2 |
2 | Vasily Podkolzin | 40 | 1 | 2 | 2 | Brandon Davidson | Luke Witkowski | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Cole Sillinger | Vasily Podkolzin | 60 | 1 | 2 | 2 |
2 | Phillip Di Giuseppe | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Calen Addison | Dennis Cholowski | 60 | 1 | 2 | 2 |
2 | Brandon Davidson | Luke Witkowski | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Phillip Di Giuseppe | Cole Sillinger | Vasily Podkolzin | Calen Addison | Dennis Cholowski |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Phillip Di Giuseppe | Cole Sillinger | Vasily Podkolzin | Calen Addison | Dennis Cholowski |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, Joakim Nordstrom, Nathan Gerbe | , Joakim Nordstrom | Nathan Gerbe |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Andreas Englund, Mirco Mueller, Brandon Davidson | Andreas Englund | Mirco Mueller, Brandon Davidson |
Penalty Shots |
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Cole Sillinger, Vasily Podkolzin, Phillip Di Giuseppe, , Danick Martel |
Goalie |
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#1 : Anders Lindback, #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 |
---|---|---|---|---|---|---|---|---|---|---|
2 - 2022-09-21 | 7 | Cleveland Monsters | - | Abbotsford Canucks | - | |||||
4 - 2022-09-23 | 15 | Cleveland Monsters | - | Abbotsford Canucks | - | |||||
6 - 2022-09-25 | 23 | Abbotsford Canucks | - | Cleveland Monsters | - | |||||
8 - 2022-09-27 | 31 | Abbotsford Canucks | - | Cleveland Monsters | - | |||||
10 - 2022-09-29 | 39 | Cleveland Monsters | - | Abbotsford Canucks | - | |||||
12 - 2022-10-01 | 47 | Abbotsford Canucks | - | Cleveland Monsters | - | |||||
14 - 2022-10-03 | 55 | Cleveland Monsters | - | Abbotsford Canucks | - |
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$ | 2,062,500$ | 1,390,000$ | 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$ | 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 |
---|