Bears | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Jean-Manuel Estrada | Morale : 40 | Team Overall : 62 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | Mike Hoffman | X | 100.00 | 72 | 26 | 72 | 74 | 73 | 69 | 68 | 70 | 73 | 65 | 68 | 62 | 71 | 61 | 58 | 27 | 40 | 67 | 0 | 27 | 2 | 650,000$ | ||||
2 | Jamie McGinn | X | 100.00 | 78 | 32 | 68 | 65 | 70 | 65 | 69 | 67 | 69 | 67 | 69 | 67 | 73 | 53 | 52 | 24 | 40 | 66 | 0 | 28 | 1 | 425,000$ | ||||
3 | Angelo Esposito | X | 100.00 | 62 | 39 | 72 | 63 | 62 | 65 | 70 | 66 | 78 | 70 | 65 | 53 | 69 | 50 | 51 | 22 | 40 | 64 | 0 | 27 | 2 | 550,000$ | ||||
4 | Zach Stepan (R) | X | 100.00 | 63 | 17 | 81 | 69 | 66 | 77 | 72 | 65 | 64 | 66 | 61 | 65 | 69 | 45 | 46 | 39 | 40 | 64 | 0 | 22 | 3 | 500,000$ | ||||
5 | Austin Wuthrich (R) | X | 100.00 | 76 | 25 | 65 | 64 | 71 | 58 | 70 | 73 | 65 | 61 | 63 | 58 | 59 | 47 | 46 | 33 | 40 | 63 | 0 | 23 | 3 | 500,000$ | ||||
6 | Austin Poganski (R) | X | 100.00 | 64 | 40 | 72 | 71 | 67 | 55 | 73 | 61 | 58 | 60 | 66 | 59 | 58 | 46 | 43 | 49 | 40 | 62 | 0 | 20 | 3 | 500,000$ | ||||
7 | Colton Sceviour | X | 100.00 | 65 | 36 | 71 | 65 | 67 | 61 | 60 | 66 | 64 | 53 | 69 | 55 | 67 | 53 | 51 | 24 | 40 | 62 | 0 | 27 | 1 | 500,000$ | ||||
8 | Brett Bulmer (R) | X | 100.00 | 63 | 36 | 63 | 66 | 68 | 59 | 64 | 62 | 62 | 65 | 66 | 55 | 56 | 48 | 48 | 33 | 40 | 61 | 0 | 24 | 1 | 500,000$ | ||||
9 | Logan O'Connor (R) | X | 100.00 | 65 | 35 | 74 | 64 | 65 | 60 | 59 | 70 | 63 | 60 | 66 | 50 | 66 | 46 | 44 | 63 | 40 | 61 | 0 | 20 | 2 | 500,000$ | ||||
10 | Jakob Lilja (R) | X | 100.00 | 58 | 35 | 72 | 66 | 68 | 62 | 55 | 68 | 65 | 59 | 55 | 57 | 63 | 52 | 51 | 29 | 40 | 60 | 0 | 23 | 1 | 500,000$ | ||||
11 | Nikolay Prokhorkin (R) | X | 100.00 | 53 | 34 | 74 | 58 | 53 | 61 | 62 | 60 | 74 | 76 | 62 | 50 | 57 | 48 | 47 | 36 | 40 | 60 | 0 | 23 | 1 | 450,000$ | ||||
12 | Vincent Dunn (R) | X | 100.00 | 62 | 38 | 72 | 58 | 67 | 52 | 70 | 63 | 64 | 63 | 53 | 56 | 54 | 43 | 43 | 49 | 40 | 58 | 0 | 21 | 1 | 360,000$ | ||||
13 | Colby Cave (R) | X | 100.00 | 49 | 25 | 69 | 59 | 66 | 52 | 56 | 56 | 48 | 55 | 71 | 44 | 58 | 44 | 44 | 35 | 40 | 56 | 0 | 22 | 1 | 360,000$ | ||||
14 | Joey Laleggia (R) | X | 100.00 | 66 | 41 | 89 | 72 | 60 | 59 | 66 | 68 | 41 | 71 | 58 | 78 | 61 | 56 | 49 | 34 | 40 | 68 | 0 | 24 | 2 | 900,000$ | ||||
15 | Mikko Vainonen (R) | X | 100.00 | 63 | 29 | 79 | 67 | 68 | 66 | 65 | 70 | 53 | 64 | 61 | 72 | 52 | 54 | 44 | 35 | 40 | 66 | 0 | 22 | 1 | 300,000$ | ||||
16 | Taylor Aronson (R) | X | 100.00 | 66 | 21 | 76 | 70 | 59 | 71 | 70 | 70 | 56 | 66 | 65 | 68 | 59 | 59 | 54 | 34 | 33 | 66 | 0 | 25 | 1 | 250,000$ | ||||
17 | Derek Forbort (R) | X | 100.00 | 65 | 37 | 67 | 70 | 66 | 73 | 68 | 63 | 55 | 69 | 55 | 72 | 60 | 51 | 48 | 34 | 32 | 65 | 0 | 24 | 1 | 500,000$ | ||||
18 | Gianluca Curcuruto (R) | X | 100.00 | 70 | 34 | 72 | 69 | 61 | 66 | 66 | 65 | 52 | 65 | 56 | 65 | 57 | 52 | 46 | 39 | 40 | 64 | 0 | 22 | 3 | 450,000$ | ||||
19 | Tommy Vannelli (R) | X | 100.00 | 60 | 31 | 85 | 70 | 61 | 64 | 62 | 65 | 45 | 73 | 50 | 69 | 49 | 47 | 44 | 52 | 38 | 64 | 0 | 21 | 3 | 400,000$ | ||||
20 | Michael Prapavessis (R) | X | 100.00 | 60 | 33 | 82 | 66 | 60 | 60 | 65 | 60 | 40 | 70 | 45 | 69 | 49 | 45 | 43 | 54 | 34 | 63 | 0 | 20 | 2 | 500,000$ | ||||
21 | Emil Johansson (R) | X | 100.00 | 56 | 44 | 73 | 64 | 62 | 66 | 63 | 59 | 50 | 62 | 58 | 63 | 47 | 48 | 43 | 50 | 40 | 61 | 0 | 20 | 3 | 500,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Ryan Graves (R) | X | 100.00 | 55 | 29 | 74 | 64 | 61 | 61 | 65 | 61 | 40 | 63 | 44 | 65 | 44 | 45 | 44 | 43 | 40 | 60 | 0 | 21 | 1 | 450,000$ | ||||
2 | Jesper Pettersson (R) | X | 100.00 | 55 | 40 | 67 | 61 | 62 | 63 | 61 | 57 | 62 | 63 | 63 | 47 | 55 | 51 | 45 | 40 | 40 | 58 | 0 | 21 | 3 | 450,000$ | ||||
3 | Mackenze Stewart (R) | X | 100.00 | 50 | 38 | 65 | 58 | 56 | 59 | 58 | 55 | 60 | 59 | 64 | 44 | 51 | 44 | 43 | 49 | 40 | 56 | 0 | 20 | 3 | 450,000$ | ||||
4 | Jakob Stenqvist (R) | X | 100.00 | 51 | 23 | 68 | 59 | 38 | 40 | 58 | 55 | 32 | 63 | 35 | 46 | 31 | 40 | 40 | 64 | 40 | 50 | 0 | 18 | 2 | 500,000$ | ||||
TEAM AVERAGE | 100.00 | 62 | 33 | 73 | 65 | 63 | 62 | 65 | 64 | 57 | 64 | 60 | 60 | 57 | 49 | 47 | 40 | 39 | 62 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jake Allen | 100.00 | 70 | 75 | 74 | 63 | 67 | 79 | 75 | 67 | 70 | 81 | 69 | 57 | 55 | 33 | 31 | 71 | 0 | |
2 | Joni Ortio | 100.00 | 66 | 77 | 67 | 69 | 73 | 74 | 72 | 77 | 71 | 68 | 61 | 51 | 50 | 38 | 40 | 70 | 0 | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 68 | 76 | 71 | 66 | 70 | 77 | 74 | 72 | 71 | 75 | 65 | 54 | 53 | 36 | 36 | 71 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Gerard Gallant | 65 | 66 | 64 | 72 | 38 | 65 | 57 | CAN | 1 | 3 | 550,000$ |
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 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Angelo Esposito | Bears (Was) | C | 27 | 1989-01-01 | No | 190 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 550,000$ | 550,000$ | 0$ | 0$ | No | 550,000$ | |||||||||
Austin Poganski | Bears (Was) | RW | 20 | 1996-01-01 | Yes | 198 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | 500,000$ | ||||||||
Austin Wuthrich | Bears (Was) | RW | 23 | 1993-01-01 | Yes | 190 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | 500,000$ | ||||||||
Brett Bulmer | Bears (Was) | RW | 24 | 1992-01-01 | Yes | 212 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
Colby Cave | Bears (Was) | C | 22 | 1994-01-01 | Yes | 185 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 360,000$ | 360,000$ | 0$ | 0$ | No | ||||||||||
Colton Sceviour | Bears (Was) | RW | 27 | 1989-01-01 | No | 201 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
Derek Forbort | Bears (Was) | D | 24 | 1992-01-01 | Yes | 212 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
Emil Johansson | Bears (Was) | D | 20 | 1996-01-01 | Yes | 189 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | 500,000$ | ||||||||
Gianluca Curcuruto | Bears (Was) | D | 22 | 1994-01-01 | Yes | 195 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 450,000$ | 450,000$ | 0$ | 0$ | No | 500,000$ | 550,000$ | ||||||||
Jake Allen | Bears (Was) | G | 26 | 1990-01-01 | No | 195 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 950,000$ | 950,000$ | 0$ | 0$ | No | ||||||||||
Jakob Lilja | Bears (Was) | LW | 23 | 1993-01-01 | Yes | 196 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | ||||||||||
Jakob Stenqvist | Bears (Was) | D | 18 | 1998-01-01 | Yes | 179 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
Jamie McGinn | Bears (Was) | LW | 28 | 1988-01-01 | No | 205 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 425,000$ | 425,000$ | 0$ | 0$ | No | ||||||||||
Jesper Pettersson | Bears (Was) | D | 21 | 1995-01-01 | Yes | 189 Lbs | 5 ft9 | No | No | No | 3 | Pro & Farm | 450,000$ | 450,000$ | 0$ | 0$ | No | 450,000$ | 450,000$ | ||||||||
Joey Laleggia | Bears (Was) | D | 24 | 1992-01-01 | Yes | 182 Lbs | 5 ft9 | No | No | No | 2 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | |||||||||
Joni Ortio | Bears (Was) | G | 25 | 1991-01-01 | No | 185 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | ||||||||||
Logan O'Connor | Bears (Was) | RW | 20 | 1996-01-01 | Yes | 174 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
Mackenze Stewart | Bears (Was) | D | 20 | 1996-01-01 | Yes | 230 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 450,000$ | 450,000$ | 0$ | 0$ | No | 450,000$ | 450,000$ | ||||||||
Michael Prapavessis | Bears (Was) | D | 20 | 1996-01-01 | Yes | 185 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
Mike Hoffman | Bears (Was) | LW | 27 | 1989-01-01 | No | 185 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 650,000$ | 650,000$ | 0$ | 0$ | No | 650,000$ | |||||||||
Mikko Vainonen | Bears (Was) | D | 22 | 1994-01-01 | Yes | 222 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 300,000$ | 300,000$ | 0$ | 0$ | No | ||||||||||
Nikolay Prokhorkin | Bears (Was) | LW | 23 | 1993-01-01 | Yes | 190 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 450,000$ | 450,000$ | 0$ | 0$ | No | ||||||||||
Ryan Graves | Bears (Was) | D | 21 | 1995-01-01 | Yes | 225 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 450,000$ | 450,000$ | 0$ | 0$ | No | ||||||||||
Taylor Aronson | Bears (Was) | D | 25 | 1991-01-01 | Yes | 196 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 250,000$ | 250,000$ | 0$ | 0$ | No | ||||||||||
Tommy Vannelli | Bears (Was) | D | 21 | 1995-01-01 | Yes | 185 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 400,000$ | 400,000$ | 0$ | 0$ | No | 600,000$ | 600,000$ | ||||||||
Vincent Dunn | Bears (Was) | C | 21 | 1995-01-01 | Yes | 185 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 360,000$ | 360,000$ | 0$ | 0$ | No | ||||||||||
Zach Stepan | Bears (Was) | C | 22 | 1994-01-01 | Yes | 165 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | 500,000$ |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
27 | 22.81 | 194 Lbs | 6 ft1 | 1.81 | 510,926$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 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 |
---|
, , , , |
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$ | 1,379,500$ | 884,500$ | 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 |