Sags | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : Nick Gagnon | Morale : 50 | Team Overall : 59 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary Average |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ben Meyers (R) | X | X | 100.00 | 65 | 40 | 77 | 71 | 75 | 74 | 66 | 66 | 72 | 60 | 63 | 64 | 67 | 56 | 50 | 0 | 50 | 64 | 0 | 23 | 3 | 912,500$ | |||
2 | Tyler Benson | X | X | 100.00 | 62 | 43 | 70 | 67 | 68 | 68 | 66 | 62 | 41 | 61 | 55 | 57 | 61 | 55 | 50 | 0 | 50 | 60 | 0 | 24 | 2 | 620,000$ | |||
3 | Jiri Kulich (R) | X | X | 100.00 | 59 | 40 | 70 | 68 | 61 | 57 | 57 | 64 | 42 | 62 | 62 | 55 | 65 | 50 | 50 | 0 | 50 | 60 | 0 | 18 | 3 | 950,000$ | |||
4 | Alex Turcotte (R) | X | 100.00 | 62 | 45 | 67 | 70 | 63 | 60 | 58 | 59 | 45 | 56 | 53 | 62 | 60 | 50 | 50 | 0 | 50 | 59 | 0 | 21 | 1 | 925,000$ | ||||
5 | Jordy Bellerive | X | 100.00 | 60 | 54 | 60 | 67 | 63 | 65 | 64 | 62 | 56 | 59 | 54 | 59 | 61 | 52 | 51 | 0 | 50 | 59 | 0 | 23 | 2 | 733,333$ | ||||
6 | Aatu Raty (R) | X | 100.00 | 63 | 40 | 69 | 66 | 63 | 57 | 57 | 62 | 52 | 61 | 56 | 60 | 61 | 50 | 50 | 0 | 50 | 59 | 0 | 19 | 3 | 836,667$ | ||||
7 | Ty Tullio (R) | X | 100.00 | 57 | 40 | 70 | 69 | 57 | 60 | 61 | 62 | 41 | 59 | 58 | 57 | 62 | 50 | 50 | 0 | 50 | 59 | 0 | 20 | 3 | 833,333$ | ||||
8 | Michal Teply (R) | X | 100.00 | 57 | 45 | 73 | 64 | 65 | 63 | 62 | 62 | 42 | 60 | 55 | 52 | 60 | 50 | 50 | 0 | 50 | 58 | 0 | 21 | 1 | 825,833$ | ||||
9 | Zayde Wisdom (R) | X | 100.00 | 62 | 40 | 69 | 65 | 63 | 60 | 60 | 58 | 51 | 55 | 54 | 59 | 59 | 50 | 50 | 0 | 50 | 58 | 0 | 20 | 3 | 797,500$ | ||||
10 | Reilly Walsh | X | 100.00 | 59 | 45 | 69 | 72 | 62 | 66 | 66 | 66 | 40 | 65 | 58 | 69 | 65 | 52 | 50 | 0 | 50 | 64 | 0 | 23 | 1 | 700,000$ | ||||
11 | Henry Thrun (R) | X | 100.00 | 57 | 40 | 71 | 71 | 77 | 80 | 60 | 65 | 40 | 62 | 60 | 63 | 66 | 51 | 50 | 0 | 50 | 64 | 0 | 21 | 3 | 650,000$ | ||||
12 | Michael Kesselring (R) | X | 100.00 | 66 | 57 | 64 | 69 | 67 | 63 | 63 | 66 | 40 | 58 | 60 | 68 | 65 | 51 | 50 | 0 | 50 | 63 | 0 | 22 | 1 | 1,100,000$ | ||||
13 | Wyatt Kalynuk | X | 100.00 | 60 | 60 | 57 | 71 | 62 | 66 | 65 | 62 | 40 | 61 | 55 | 68 | 63 | 54 | 50 | 0 | 50 | 62 | 0 | 25 | 2 | 925,000$ | ||||
14 | Jack Thompson (R) | X | 100.00 | 60 | 40 | 71 | 69 | 62 | 62 | 62 | 64 | 40 | 60 | 59 | 66 | 64 | 50 | 50 | 0 | 50 | 62 | 0 | 20 | 3 | 828,333$ | ||||
15 | Anttoni Honka (R) | X | 100.00 | 56 | 40 | 70 | 69 | 60 | 62 | 63 | 64 | 40 | 63 | 57 | 65 | 63 | 50 | 50 | 0 | 50 | 61 | 0 | 21 | 3 | 700,000$ | ||||
16 | Helge Grans (R) | X | 100.00 | 64 | 46 | 72 | 65 | 68 | 60 | 60 | 61 | 40 | 55 | 54 | 62 | 60 | 50 | 50 | 0 | 50 | 60 | 0 | 20 | 3 | 847,500$ | ||||
17 | Corson Ceulemans (R) | X | 100.00 | 62 | 40 | 68 | 64 | 65 | 54 | 53 | 56 | 40 | 54 | 54 | 61 | 58 | 50 | 50 | 0 | 50 | 58 | 0 | 19 | 3 | 925,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Carter Savoie (R) | X | 100.00 | 56 | 40 | 69 | 63 | 62 | 60 | 60 | 59 | 40 | 54 | 56 | 53 | 59 | 50 | 50 | 0 | 50 | 57 | 0 | 20 | 3 | 925,000$ | ||||
2 | Rory Kerins (R) | X | 100.00 | 62 | 40 | 68 | 65 | 62 | 58 | 57 | 56 | 47 | 54 | 54 | 58 | 58 | 50 | 50 | 0 | 50 | 57 | 0 | 20 | 3 | 846,667$ | ||||
3 | Philippe Daoust (R) | X | 100.00 | 54 | 43 | 66 | 70 | 53 | 57 | 54 | 54 | 50 | 51 | 51 | 52 | 58 | 50 | 50 | 0 | 50 | 55 | 0 | 20 | 5 | 600,000$ | ||||
4 | Demetrios Koumontzis (R) | X | 100.00 | 44 | 44 | 78 | 63 | 64 | 41 | 53 | 34 | 48 | 29 | 30 | 41 | 35 | 50 | 50 | 0 | 50 | 44 | 0 | 22 | 2 | 650,000$ | ||||
TEAM AVERAGE | 100.00 | 59 | 44 | 69 | 68 | 64 | 62 | 60 | 60 | 45 | 57 | 55 | 60 | 60 | 51 | 50 | 0 | 50 | 59 |
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 Average |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Malcolm Subban | 100.00 | 74 | 71 | 73 | 75 | 72 | 70 | 72 | 68 | 71 | 73 | 71 | 66 | 59 | 0 | 50 | 66 | 0 | 28 | 2 | 1,500,000$ | |
2 | Dryden McKay (R) | 100.00 | 63 | 57 | 57 | 62 | 60 | 59 | 59 | 56 | 60 | 60 | 53 | 52 | 50 | 0 | 50 | 55 | 0 | 24 | 3 | 560,000$ | |
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 69 | 64 | 65 | 69 | 66 | 65 | 66 | 62 | 66 | 67 | 62 | 59 | 55 | 0 | 50 | 61 |
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 | Force Waivers | Waiver Possible | Contract | Type | Current Salary | 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 |
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Aatu Raty | Sags (San) | C | 19 | 2002-11-14 | Yes | 185 Lbs | 6 ft2 | No | No | No | No | 3 | Pro & Farm | 836,667$ | 119,524$ | 0$ | 0$ | No | 836,667$ | 836,667$ | ||||||||
Alex Turcotte | Sags (San) | C | 21 | 2001-02-26 | Yes | 185 Lbs | 5 ft11 | No | No | No | No | 1 | Pro & Farm | 925,000$ | 132,143$ | 0$ | 0$ | No | Link | |||||||||
Anttoni Honka | Sags (San) | D | 21 | 2000-10-05 | Yes | 179 Lbs | 5 ft10 | No | No | No | No | 3 | Pro & Farm | 700,000$ | 100,000$ | 0$ | 0$ | No | 700,000$ | 700,000$ | Link | |||||||
Ben Meyers | Sags (San) | C/LW | 23 | 1998-11-15 | Yes | 194 Lbs | 5 ft11 | No | No | No | No | 3 | Pro & Farm | 912,500$ | 130,357$ | 0$ | 0$ | No | 912,500$ | 912,500$ | ||||||||
Carter Savoie | Sags (San) | LW | 20 | 2002-01-23 | Yes | 192 Lbs | 5 ft9 | No | No | No | No | 3 | Pro & Farm | 925,000$ | 132,143$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||
Corson Ceulemans | Sags (San) | D | 19 | 2003-05-05 | Yes | 198 Lbs | 6 ft2 | No | No | No | No | 3 | Pro & Farm | 925,000$ | 132,143$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||
Demetrios Koumontzis | Sags (San) | LW | 22 | 2000-03-24 | Yes | 183 Lbs | 5 ft10 | No | No | No | No | 2 | Pro & Farm | 650,000$ | 92,857$ | 0$ | 0$ | No | 650,000$ | Link | ||||||||
Dryden McKay | Sags (San) | G | 24 | 1997-11-25 | Yes | 183 Lbs | 6 ft0 | No | No | Yes | No | 3 | Pro & Farm | 560,000$ | 80,000$ | 0$ | 0$ | No | 560,000$ | 560,000$ | ||||||||
Helge Grans | Sags (San) | D | 20 | 2002-05-10 | Yes | 205 Lbs | 6 ft3 | No | No | No | No | 3 | Pro & Farm | 847,500$ | 121,071$ | 0$ | 0$ | No | 847,500$ | 847,500$ | Link | |||||||
Henry Thrun | Sags (San) | D | 21 | 2001-03-12 | Yes | 190 Lbs | 6 ft2 | No | No | No | No | 3 | Pro & Farm | 650,000$ | 92,857$ | 0$ | 0$ | No | 650,000$ | 650,000$ | Link | |||||||
Jack Thompson | Sags (San) | D | 20 | 2002-03-19 | Yes | 179 Lbs | 6 ft0 | No | No | No | No | 3 | Pro & Farm | 828,333$ | 118,333$ | 0$ | 0$ | No | 828,333$ | 828,333$ | ||||||||
Jiri Kulich | Sags (San) | C/LW | 18 | 2004-04-14 | Yes | 179 Lbs | 5 ft11 | No | No | No | No | 3 | Pro & Farm | 950,000$ | 135,714$ | 0$ | 0$ | No | 950,000$ | 950,000$ | ||||||||
Jordy Bellerive | Sags (San) | C | 23 | 1999-05-02 | No | 194 Lbs | 5 ft11 | No | No | No | No | 2 | Pro & Farm | 733,333$ | 104,762$ | 0$ | 0$ | No | 733,333$ | Link | ||||||||
Malcolm Subban (1 Way Contract) | Sags (San) | G | 28 | 1993-12-21 | No | 216 Lbs | 6 ft2 | No | No | Yes | No | 2 | Pro & Farm | 1,500,000$ | 214,286$ | 600,000$ | 85,714$ | No | 1,500,000$ | Link | ||||||||
Michael Kesselring | Sags (San) | D | 22 | 2000-01-13 | Yes | 190 Lbs | 6 ft4 | No | No | No | No | 1 | Pro & Farm | 1,100,000$ | 157,143$ | 0$ | 0$ | No | Link | |||||||||
Michal Teply | Sags (San) | LW | 21 | 2001-05-27 | Yes | 187 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 825,833$ | 117,976$ | 0$ | 0$ | No | Link | |||||||||
Philippe Daoust | Sags (San) | LW | 20 | 2001-11-05 | Yes | 150 Lbs | 6 ft0 | No | No | No | No | 5 | Pro & Farm | 600,000$ | 85,714$ | 0$ | 0$ | No | 600,000$ | 600,000$ | 600,000$ | 600,000$ | Link | |||||
Reilly Walsh | Sags (San) | D | 23 | 1999-04-21 | No | 185 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 700,000$ | 100,000$ | 0$ | 0$ | No | Link | |||||||||
Rory Kerins | Sags (San) | C | 20 | 2002-04-12 | Yes | 185 Lbs | 6 ft0 | No | No | No | No | 3 | Pro & Farm | 846,667$ | 120,952$ | 0$ | 0$ | No | 846,667$ | 846,667$ | ||||||||
Ty Tullio | Sags (San) | RW | 20 | 2002-04-05 | Yes | 165 Lbs | 5 ft10 | No | No | No | No | 3 | Pro & Farm | 833,333$ | 119,048$ | 0$ | 0$ | No | 833,333$ | 833,333$ | ||||||||
Tyler Benson | Sags (San) | LW/RW | 24 | 1998-03-15 | No | 190 Lbs | 6 ft0 | No | No | Yes | No | 2 | Pro & Farm | 620,000$ | 88,571$ | 0$ | 0$ | No | 620,000$ | Link | ||||||||
Wyatt Kalynuk | Sags (San) | D | 25 | 1997-04-14 | No | 181 Lbs | 6 ft1 | No | No | Yes | No | 2 | Pro & Farm | 925,000$ | 132,143$ | 0$ | 0$ | No | 925,000$ | Link | ||||||||
Zayde Wisdom | Sags (San) | C | 20 | 2002-05-20 | Yes | 194 Lbs | 5 ft11 | No | No | No | No | 3 | Pro & Farm | 797,500$ | 113,929$ | 0$ | 0$ | No | 797,500$ | 797,500$ |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
23 | 21.48 | 186 Lbs | 6 ft0 | 2.52 | 834,420$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Jiri Kulich | Aatu Raty | 40 | 1 | 2 | 2 | |
2 | Tyler Benson | Ben Meyers | Ty Tullio | 30 | 1 | 2 | 2 |
3 | Alex Turcotte | Jordy Bellerive | 20 | 1 | 2 | 2 | |
4 | Ben Meyers | Zayde Wisdom | Jiri Kulich | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Henry Thrun | Michael Kesselring | 40 | 1 | 2 | 2 | |
2 | Jack Thompson | Wyatt Kalynuk | 30 | 1 | 2 | 2 | |
3 | Anttoni Honka | Helge Grans | 20 | 1 | 2 | 2 | |
4 | Michael Kesselring | Henry Thrun | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Jiri Kulich | Ben Meyers | 60 | 1 | 2 | 2 | |
2 | Tyler Benson | Aatu Raty | Ty Tullio | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Henry Thrun | Michael Kesselring | 60 | 1 | 2 | 2 | |
2 | Jack Thompson | Wyatt Kalynuk | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Ben Meyers | Jiri Kulich | 60 | 1 | 2 | 2 |
2 | Tyler Benson | Aatu Raty | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Henry Thrun | Michael Kesselring | 60 | 1 | 2 | 2 |
2 | Jack Thompson | Wyatt Kalynuk | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Ben Meyers | 60 | 1 | 2 | 2 | Henry Thrun | Michael Kesselring | 60 | 1 | 2 | 2 |
2 | Jiri Kulich | 40 | 1 | 2 | 2 | Jack Thompson | Wyatt Kalynuk | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Ben Meyers | Jiri Kulich | 60 | 1 | 2 | 2 |
2 | Tyler Benson | Aatu Raty | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Henry Thrun | Michael Kesselring | 60 | 1 | 2 | 2 |
2 | Jack Thompson | Wyatt Kalynuk | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Jiri Kulich | Ben Meyers | Henry Thrun | Michael Kesselring |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Jiri Kulich | Ben Meyers | Henry Thrun | Michael Kesselring |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Zayde Wisdom, Jordy Bellerive, | Zayde Wisdom, Jordy Bellerive |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Anttoni Honka, Helge Grans, Michael Kesselring | Anttoni Honka | Helge Grans, Michael Kesselring |
Penalty Shots |
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, Jiri Kulich, Tyler Benson, Aatu Raty, Jordy Bellerive |
Goalie |
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#1 : Malcolm Subban, #2 : Dryden McKay |
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 | 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% | 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 | 1750 | 1250 |
Ticket Price | 50 | 20 |
Attendance | 0% | 0% |
Attendance PCT | 0% | 0% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
41 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
0$ | 1,769,166$ | 1,769,166$ | 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$ | 2 | 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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