Griffins | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Simon Thérien | Morale : 50 | Team Overall : N/A |
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 | Christoffer Ehn | X | X | X | 100.00 | 76 | 43 | 98 | 64 | 70 | 56 | 83 | 57 | 55 | 54 | 56 | 74 | 25 | 57 | 57 | 63 | 50 | 0 | 0 | 24 | 2 | 925,000$ | ||
2 | David Pope (R) | X | 100.00 | 75 | 70 | 88 | 60 | 70 | 47 | 48 | 45 | 50 | 38 | 47 | 60 | 45 | 44 | 44 | 52 | 50 | 0 | 0 | 25 | 3 | 1,437,500$ | ||||
3 | Michael Amadio | X | X | 100.00 | 61 | 41 | 94 | 73 | 71 | 64 | 85 | 71 | 74 | 62 | 59 | 62 | 25 | 57 | 58 | 64 | 50 | 0 | 0 | 24 | 2 | 925,000$ | |||
4 | Gage Quinney | X | X | 100.00 | 79 | 73 | 94 | 62 | 73 | 73 | 76 | 65 | 80 | 60 | 65 | 69 | 62 | 51 | 51 | 67 | 50 | 0 | 0 | 24 | 2 | 902,500$ | |||
5 | Henrik Borgstrom | X | X | 100.00 | 78 | 71 | 93 | 84 | 71 | 76 | 81 | 58 | 73 | 52 | 58 | 66 | 55 | 49 | 49 | 64 | 50 | 0 | 0 | 22 | 2 | 925,000$ | |||
6 | Jansen Harkins | X | 100.00 | 61 | 41 | 94 | 67 | 68 | 57 | 82 | 57 | 26 | 63 | 58 | 58 | 25 | 53 | 53 | 61 | 50 | 0 | 0 | 23 | 2 | 925,000$ | ||||
7 | Jonathan Ang (R) | X | 100.00 | 68 | 61 | 85 | 60 | 61 | 74 | 79 | 57 | 71 | 56 | 53 | 59 | 50 | 44 | 44 | 58 | 50 | 0 | 0 | 22 | 3 | 910,833$ | ||||
8 | Zack MacEwen | X | X | 100.00 | 89 | 99 | 68 | 66 | 80 | 54 | 72 | 58 | 44 | 56 | 80 | 61 | 25 | 45 | 45 | 71 | 50 | 0 | 0 | 23 | 3 | 1,995,833$ | |||
9 | Matt Puempel | X | X | 100.00 | 77 | 75 | 83 | 64 | 75 | 73 | 75 | 67 | 50 | 63 | 65 | 69 | 62 | 55 | 55 | 68 | 50 | 0 | 0 | 27 | 2 | 675,000$ | |||
10 | Noah Gregor (R) | X | X | X | 100.00 | 83 | 44 | 90 | 77 | 68 | 56 | 75 | 58 | 36 | 57 | 60 | 55 | 25 | 46 | 46 | 63 | 50 | 0 | 0 | 21 | 3 | 850,000$ | ||
11 | Philipp Kurashev (R) | X | 100.00 | 77 | 70 | 92 | 66 | 70 | 64 | 66 | 59 | 74 | 57 | 57 | 64 | 54 | 44 | 44 | 62 | 50 | 0 | 0 | 20 | 3 | 925,000$ | ||||
12 | Dominic Turgeon | X | X | 100.00 | 80 | 73 | 97 | 63 | 73 | 80 | 87 | 56 | 70 | 50 | 56 | 67 | 53 | 53 | 53 | 62 | 50 | 0 | 0 | 24 | 1 | 900,000$ | |||
13 | Dennis Cholowski | X | 100.00 | 63 | 41 | 94 | 77 | 64 | 77 | 87 | 80 | 25 | 52 | 48 | 63 | 25 | 55 | 55 | 61 | 50 | 0 | 0 | 22 | 2 | 894,166$ | ||||
14 | Philippe Myers | X | 100.00 | 81 | 45 | 82 | 80 | 76 | 71 | 82 | 60 | 25 | 58 | 49 | 65 | 25 | 53 | 53 | 63 | 50 | 0 | 0 | 23 | 2 | 678,889$ | ||||
15 | Victor Mete | X | 100.00 | 63 | 41 | 88 | 81 | 65 | 68 | 82 | 60 | 25 | 51 | 49 | 74 | 25 | 60 | 60 | 62 | 35 | 0 | 0 | 22 | 1 | 870,000$ | ||||
16 | Tyler Myers | X | 100.00 | 80 | 56 | 79 | 81 | 89 | 83 | 91 | 69 | 25 | 56 | 50 | 79 | 53 | 75 | 77 | 66 | 46 | 0 | 0 | 30 | 1 | 1,000,000$ | ||||
17 | Gustav Lindstrom (R) | X | 100.00 | 77 | 44 | 75 | 72 | 70 | 70 | 68 | 61 | 25 | 45 | 47 | 74 | 25 | 45 | 45 | 59 | 50 | 0 | 0 | 21 | 3 | 925,000$ | ||||
18 | Alexander Yelesin (R) | X | 100.00 | 98 | 47 | 99 | 68 | 69 | 59 | 66 | 58 | 25 | 39 | 47 | 57 | 25 | 44 | 44 | 57 | 50 | 0 | 0 | 24 | 1 | 1,250,000$ | ||||
19 | Joe Hicketts | X | 100.00 | 69 | 61 | 88 | 66 | 61 | 75 | 81 | 55 | 25 | 54 | 40 | 61 | 38 | 49 | 49 | 56 | 50 | 0 | 0 | 24 | 1 | 635,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Joe Morrow (R) | X | 100.00 | 71 | 71 | 72 | 51 | 71 | 51 | 52 | 48 | 25 | 39 | 41 | 59 | 39 | 44 | 44 | 50 | 50 | 0 | 0 | 27 | 1 | 650,000$ | ||||
2 | Chad Krys (R) | X | 100.00 | 73 | 67 | 86 | 67 | 67 | 57 | 60 | 47 | 25 | 37 | 41 | 59 | 39 | 44 | 44 | 51 | 50 | 0 | 0 | 22 | 3 | 925,000$ | ||||
TEAM AVERAGE | 100.00 | 75 | 59 | 88 | 69 | 71 | 66 | 75 | 59 | 44 | 52 | 54 | 65 | 38 | 51 | 51 | 61 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Matt Murray | 100.00 | 61 | 77 | 74 | 74 | 61 | 61 | 69 | 63 | 64 | 61 | 82 | 59 | 60 | 65 | 50 | 0 | 0 | |
2 | Sam Montembeault | 100.00 | 53 | 69 | 65 | 78 | 57 | 49 | 53 | 55 | 59 | 53 | 75 | 45 | 45 | 56 | 50 | 0 | 0 | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 57 | 73 | 70 | 76 | 59 | 55 | 61 | 59 | 62 | 57 | 79 | 52 | 53 | 61 | 50 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Randy Carlyle | 77 | 79 | 71 | 76 | 93 | 87 | 51 | CAN | 65 | 3 | 4,500,000$ |
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 |
---|
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 |
---|
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 Average | Salary Ave Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Yelesin | Griffins (DET) | D | 24 | 1996-02-07 | Yes | 192 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 1,250,000$ | 1,000,000$ | 0$ | 0$ | No | Link | |||||||||||
Chad Krys | Griffins (DET) | D | 22 | 1998-04-10 | Yes | 185 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||||
Christoffer Ehn | Griffins (DET) | C/LW/RW | 24 | 1996-04-05 | No | 181 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 925,000$ | 450,000$ | 0$ | 0$ | No | 925,000$ | Link | ||||||||||
David Pope | Griffins (DET) | LW | 25 | 1994-09-27 | Yes | 187 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 1,437,500$ | 1,437,500$ | 0$ | 0$ | No | 1,437,500$ | 1,437,500$ | ||||||||||
Dennis Cholowski | Griffins (DET) | D | 22 | 1998-02-15 | No | 170 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 894,166$ | 450,000$ | 0$ | 0$ | No | 894,166$ | Link | ||||||||||
Dominic Turgeon | Griffins (DET) | C/LW | 24 | 1996-02-24 | No | 196 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | Link | |||||||||||
Gage Quinney | Griffins (DET) | C/LW | 24 | 1995-07-29 | No | 201 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 902,500$ | 715,000$ | 0$ | 0$ | No | 715,000$ | Link | ||||||||||
Gustav Lindstrom | Griffins (DET) | D | 21 | 1998-10-20 | Yes | 187 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||||
Henrik Borgstrom | Griffins (DET) | C/LW | 22 | 1997-08-06 | No | 185 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 925,000$ | 450,000$ | 0$ | 0$ | No | 925,000$ | Link | ||||||||||
Jansen Harkins | Griffins (DET) | C | 23 | 1997-05-23 | No | 182 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Link | ||||||||||
Joe Hicketts | Griffins (DET) | D | 24 | 1996-05-04 | No | 175 Lbs | 5 ft8 | No | No | No | 1 | Pro & Farm | 635,000$ | 635,000$ | 0$ | 0$ | No | Link | |||||||||||
Joe Morrow | Griffins (DET) | D | 27 | 1992-12-09 | Yes | 196 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | Link | |||||||||||
Jonathan Ang | Griffins (DET) | C | 22 | 1998-01-31 | Yes | 165 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 910,833$ | 910,833$ | 0$ | 0$ | No | 910,833$ | 910,833$ | ||||||||||
Matt Murray | Griffins (DET) | G | 26 | 1994-05-25 | No | 178 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 3,800,000$ | 3,750,000$ | 0$ | 0$ | No | 3,750,000$ | 3,750,000$ | Link | |||||||||
Matt Puempel | Griffins (DET) | LW/RW | 27 | 1993-01-24 | No | 205 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 675,000$ | 675,000$ | 0$ | 0$ | No | 675,000$ | Link | ||||||||||
Michael Amadio | Griffins (DET) | C/RW | 24 | 1996-05-13 | No | 190 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Link | ||||||||||
Noah Gregor | Griffins (DET) | C/LW/RW | 21 | 1998-07-27 | Yes | 185 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | 850,000$ | 850,000$ | ||||||||||
Philipp Kurashev | Griffins (DET) | C | 20 | 1999-10-12 | Yes | 192 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||||
Philippe Myers | Griffins (DET) | D | 23 | 1997-01-25 | No | 196 Lbs | 6 ft5 | No | No | No | 2 | Pro & Farm | 678,889$ | 678,889$ | 0$ | 0$ | No | 678,889$ | Link | ||||||||||
Sam Montembeault | Griffins (DET) | G | 23 | 1996-10-30 | No | 192 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 708,750$ | 708,750$ | 0$ | 0$ | No | 708,750$ | 708,750$ | Link | |||||||||
Tyler Myers | Griffins (DET) | D | 30 | 1990-01-31 | No | 229 Lbs | 6 ft8 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | Link | |||||||||||
Victor Mete | Griffins (DET) | D | 22 | 1998-06-07 | No | 184 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 870,000$ | 870,000$ | 0$ | 0$ | No | Link | |||||||||||
Zack MacEwen | Griffins (DET) | C/RW | 23 | 1996-07-08 | No | 205 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 1,995,833$ | 1,329,166$ | 0$ | 0$ | No | 995,833$ | 995,833$ | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
23 | 23.61 | 189 Lbs | 6 ft1 | 2.13 | 1,071,020$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Michael Amadio | Christoffer Ehn | 35 | 1 | 2 | 2 | |
2 | Dominic Turgeon | Henrik Borgstrom | Noah Gregor | 30 | 1 | 2 | 2 |
3 | Jansen Harkins | 25 | 1 | 2 | 2 | ||
4 | Michael Amadio | Henrik Borgstrom | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Dennis Cholowski | Philippe Myers | 35 | 1 | 2 | 2 | |
2 | Gustav Lindstrom | Joe Hicketts | 30 | 1 | 2 | 2 | |
3 | 25 | 1 | 2 | 2 | |||
4 | Dennis Cholowski | Philippe Myers | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Michael Amadio | Christoffer Ehn | 60 | 1 | 2 | 2 | |
2 | Dominic Turgeon | Henrik Borgstrom | Noah Gregor | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Dennis Cholowski | Philippe Myers | 60 | 1 | 2 | 2 | |
2 | Gustav Lindstrom | Joe Hicketts | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Michael Amadio | 60 | 1 | 2 | 2 | |
2 | Henrik Borgstrom | Christoffer Ehn | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Dennis Cholowski | Philippe Myers | 60 | 1 | 2 | 2 |
2 | Gustav Lindstrom | Joe Hicketts | 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 | Dennis Cholowski | Philippe Myers | 60 | 1 | 2 | 2 | |
2 | Michael Amadio | 40 | 1 | 2 | 2 | Gustav Lindstrom | Joe Hicketts | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Michael Amadio | 60 | 1 | 2 | 2 | |
2 | Henrik Borgstrom | Christoffer Ehn | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Dennis Cholowski | Philippe Myers | 60 | 1 | 2 | 2 |
2 | Gustav Lindstrom | Joe Hicketts | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Michael Amadio | Christoffer Ehn | Dennis Cholowski | Philippe Myers |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Michael Amadio | Christoffer Ehn | Dennis Cholowski | Philippe Myers |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Jansen Harkins, , Dominic Turgeon | Jansen Harkins, | Dominic Turgeon |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , Gustav Lindstrom | , Gustav Lindstrom |
Penalty Shots |
---|
, Michael Amadio, Henrik Borgstrom, Christoffer Ehn, Dominic Turgeon |
Goalie |
---|
#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 |
---|
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 | 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
0$ | 2,463,347$ | 2,208,514$ | 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$ |
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 |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2020 | 82 | 31 | 44 | 0 | 1 | 2 | 2 | 2 | 206 | 240 | -34 | 41 | 21 | 15 | 0 | 1 | 1 | 1 | 2 | 116 | 104 | 12 | 41 | 10 | 29 | 0 | 0 | 1 | 1 | 0 | 90 | 136 | -46 | 72 | 206 | 356 | 562 | 0 | 1 | 75 | 67 | 61 | 5 | 1849 | 560 | 627 | 654 | 20 | 1738 | 521 | 874 | 1367 | 472 | 67 | 14.19% | 394 | 68 | 82.74% | 2 | 1187 | 2316 | 51.25% | 1025 | 2222 | 46.13% | 645 | 1218 | 52.96% | 1940 | 1372 | 2045 | 599 | 964 | 472 |
Total Regular Season | 82 | 31 | 44 | 0 | 1 | 2 | 2 | 2 | 206 | 240 | -34 | 41 | 21 | 15 | 0 | 1 | 1 | 1 | 2 | 116 | 104 | 12 | 41 | 10 | 29 | 0 | 0 | 1 | 1 | 0 | 90 | 136 | -46 | 72 | 206 | 356 | 562 | 0 | 1 | 75 | 67 | 61 | 5 | 1849 | 560 | 627 | 654 | 20 | 1738 | 521 | 874 | 1367 | 472 | 67 | 14.19% | 394 | 68 | 82.74% | 2 | 1187 | 2316 | 51.25% | 1025 | 2222 | 46.13% | 645 | 1218 | 52.96% | 1940 | 1372 | 2045 | 599 | 964 | 472 |