Gongshow | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Cedric Martineau | Morale : 50 | Team Overall : 76 |
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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 | Nazem Kadri | X | 100.00 | 74 | 63 | 79 | 88 | 80 | 85 | 81 | 91 | 83 | 95 | 87 | 76 | 76 | 84 | 87 | 0 | 73 | 81 | 0 | 33 | 0 | 0$ | ||||
2 | Mats Zuccarello (A) | X | X | 100.00 | 70 | 57 | 92 | 88 | 76 | 84 | 79 | 89 | 50 | 93 | 85 | 79 | 88 | 86 | 86 | 0 | 67 | 80 | 0 | 36 | 2 | 6,000,000$ | |||
3 | Tomas Hertl | X | X | 100.00 | 83 | 65 | 92 | 88 | 86 | 85 | 93 | 85 | 89 | 83 | 86 | 82 | 78 | 82 | 88 | 0 | 77 | 80 | 0 | 30 | 0 | 0$ | |||
4 | Taylor Hall | X | 100.00 | 73 | 66 | 89 | 93 | 84 | 82 | 90 | 83 | 56 | 85 | 80 | 74 | 59 | 84 | 88 | 0 | 74 | 77 | 0 | 32 | 3 | 6,000,000$ | ||||
5 | Jeff Skinner | X | 100.00 | 68 | 60 | 89 | 92 | 82 | 83 | 90 | 85 | 57 | 81 | 88 | 67 | 62 | 84 | 85 | 0 | 69 | 77 | 0 | 31 | 4 | 8,650,000$ | ||||
6 | Mikael Granlund | X | X | 100.00 | 80 | 60 | 91 | 84 | 79 | 86 | 91 | 82 | 81 | 90 | 73 | 79 | 74 | 83 | 85 | 0 | 72 | 77 | 0 | 31 | 3 | 5,100,000$ | |||
7 | Erik Haula | X | X | X | 100.00 | 88 | 61 | 87 | 90 | 80 | 81 | 86 | 79 | 82 | 79 | 79 | 81 | 58 | 81 | 82 | 0 | 69 | 76 | 0 | 32 | 1 | 2,750,000$ | ||
8 | Calle Jarnkrok | X | X | X | 100.00 | 71 | 56 | 98 | 88 | 77 | 82 | 73 | 77 | 71 | 77 | 76 | 73 | 53 | 82 | 78 | 0 | 46 | 73 | 0 | 32 | 0 | 0$ | ||
9 | Trevor Lewis | X | 100.00 | 92 | 67 | 96 | 85 | 85 | 78 | 87 | 68 | 56 | 68 | 68 | 80 | 50 | 89 | 79 | 0 | 58 | 71 | 0 | 36 | 0 | 0$ | ||||
10 | Justin Faulk | X | 100.00 | 91 | 69 | 88 | 87 | 88 | 89 | 88 | 81 | 50 | 82 | 80 | 88 | 56 | 84 | 87 | 0 | 61 | 80 | 0 | 31 | 5 | 6,500,000$ | ||||
11 | Mattias Ekholm (C) | X | 100.00 | 79 | 63 | 88 | 85 | 87 | 89 | 88 | 75 | 50 | 79 | 70 | 85 | 50 | 84 | 88 | 0 | 62 | 77 | 0 | 33 | 0 | 0$ | ||||
12 | Tyler Myers | X | 100.00 | 89 | 75 | 83 | 80 | 92 | 87 | 95 | 69 | 50 | 72 | 65 | 86 | 50 | 86 | 87 | 0 | 68 | 76 | 0 | 33 | 2 | 6,000,000$ | ||||
13 | Justin Braun | X | 100.00 | 82 | 68 | 89 | 82 | 82 | 85 | 78 | 71 | 50 | 70 | 71 | 81 | 50 | 89 | 85 | 0 | 66 | 75 | 0 | 36 | 0 | 0$ | ||||
14 | Radko Gudas | X | 100.00 | 99 | 82 | 71 | 83 | 92 | 84 | 87 | 69 | 50 | 70 | 67 | 84 | 50 | 81 | 79 | 0 | 71 | 75 | 0 | 33 | 1 | 4,349,999$ | ||||
15 | Jack Johnson | X | 100.00 | 82 | 73 | 88 | 83 | 93 | 82 | 83 | 66 | 50 | 67 | 65 | 77 | 50 | 90 | 87 | 0 | 30 | 73 | 0 | 36 | 0 | 0$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Jon Merrill | X | 100.00 | 73 | 61 | 93 | 85 | 80 | 83 | 77 | 72 | 50 | 74 | 69 | 83 | 50 | 78 | 76 | 0 | 41 | 73 | 0 | 31 | 0 | 0$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Austin Watson | X | X | X | 100.00 | 95 | 69 | 72 | 81 | 90 | 77 | 73 | 70 | 50 | 66 | 74 | 83 | 52 | 77 | 76 | 0 | 69 | 71 | 0 | 31 | 1 | 1,500,000$ | ||
2 | Nick Cousins | X | 100.00 | 78 | 63 | 90 | 86 | 78 | 78 | 74 | 72 | 57 | 71 | 73 | 69 | 51 | 77 | 75 | 0 | 74 | 70 | 0 | 30 | 0 | 0$ | ||||
3 | Laurent Dauphin | X | 100.00 | 75 | 55 | 86 | 85 | 76 | 79 | 42 | 72 | 58 | 72 | 71 | 78 | 50 | 68 | 70 | 0 | 72 | 69 | 0 | 28 | 0 | 0$ | ||||
4 | Liam O'Brien | X | 100.00 | 96 | 83 | 43 | 77 | 92 | 75 | 42 | 64 | 50 | 62 | 66 | 70 | 50 | 68 | 71 | 0 | 79 | 65 | 0 | 29 | 0 | 0$ | ||||
5 | Erik Gustafsson | X | 100.00 | 74 | 59 | 95 | 85 | 79 | 82 | 66 | 72 | 50 | 76 | 68 | 62 | 50 | 75 | 78 | 0 | 80 | 70 | 0 | 31 | 0 | 0$ | ||||
6 | Jordie Benn | X | 100.00 | 83 | 62 | 94 | 83 | 83 | 80 | 43 | 68 | 50 | 70 | 66 | 70 | 50 | 80 | 77 | 0 | 80 | 70 | 0 | 36 | 0 | 0$ | ||||
TEAM AVERAGE | 100.00 | 81 | 65 | 88 | 86 | 84 | 84 | 85 | 78 | 61 | 79 | 76 | 80 | 60 | 84 | 84 | 0 | 63 | 76 |
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 | Cam Talbot | 100.00 | 79 | 85 | 84 | 88 | 80 | 82 | 81 | 80 | 82 | 78 | 83 | 81 | 85 | 0 | 69 | 80 | 0 | 36 | 1 | 3,666,667$ | |
2 | Brian Elliott | 100.00 | 75 | 70 | 67 | 88 | 75 | 73 | 73 | 76 | 75 | 72 | 75 | 86 | 81 | 0 | 51 | 74 | 0 | 38 | 0 | 0$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Dustin Tokarski | 100.00 | 76 | 75 | 74 | 86 | 74 | 72 | 75 | 69 | 73 | 74 | 73 | 69 | 73 | 0 | 80 | 72 | 0 | 33 | 0 | 0$ | |
2 | Cory Schneider | 100.00 | 66 | 61 | 50 | 88 | 67 | 65 | 66 | 67 | 64 | 67 | 67 | 80 | 70 | 0 | 70 | 66 | 0 | 37 | 0 | 0$ | |
3 | Louis Domingue | 100.00 | 68 | 61 | 66 | 89 | 66 | 68 | 64 | 68 | 65 | 64 | 68 | 71 | 73 | 0 | 75 | 66 | 0 | 31 | 0 | 0$ | |
TEAM AVERAGE | 100.00 | 77 | 78 | 76 | 88 | 78 | 78 | 77 | 78 | 79 | 75 | 79 | 84 | 83 | 0 | 60 | 77 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Martin St-Louis | 88 | 69 | 78 | 85 | 69 | 69 | 99 | QUÉ | 48 | 4 | 6,000,000$ |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Brian Elliott | Gongshow | G | 38 | 1985-04-09 21:26:20 | No | 209 Lbs | 6 ft2 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | ||||||||||||
Calle Jarnkrok | Gongshow | C/LW/RW | 32 | 1991-09-25 09:26:19 | No | 186 Lbs | 5 ft11 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link | |||||||||||
Cam Talbot | Gongshow | G | 36 | 1987-07-05 09:26:20 | No | 196 Lbs | 6 ft4 | No | No | No | 1 | Pro Only | 3,666,667$ | 3,666,667$ | 3,666,667$ | 3,666,667$ | No | ||||||||||
Erik Haula | Gongshow | C/LW/RW | 32 | 1991-03-23 09:26:19 | No | 193 Lbs | 6 ft0 | No | No | No | 1 | Pro Only | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | No | Link | |||||||||
Jack Johnson | Gongshow | D | 36 | 1987-01-13 09:26:19 | No | 231 Lbs | 6 ft1 | No | No | No | 0 | Pro Only | 0$ | 0$ | No | Link | |||||||||||
Jeff Skinner | Gongshow | LW | 31 | 1992-05-16 15:26:19 | No | 200 Lbs | 5 ft11 | No | No | No | 4 | Pro Only | 8,650,000$ | 8,650,000$ | 8,650,000$ | 8,650,000$ | No | 8,650,000$ | 8,650,000$ | 8,650,000$ | Link | ||||||
Jon Merrill | Gongshow | D | 31 | 1992-02-03 15:26:19 | No | 205 Lbs | 6 ft3 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link | |||||||||||
Justin Braun | Gongshow | D | 36 | 1987-02-10 09:26:19 | No | 200 Lbs | 6 ft2 | No | No | No | 0 | Pro Only | 0$ | 0$ | No | Link | |||||||||||
Justin Faulk | Gongshow | D | 31 | 1992-03-20 15:26:19 | No | 215 Lbs | 6 ft0 | No | No | No | 5 | Pro Only | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | No | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | Link | |||||
Mats Zuccarello | Gongshow | LW/RW | 36 | 1987-09-01 09:26:19 | No | 179 Lbs | 5 ft7 | No | No | No | 2 | Pro Only | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | No | 6,000,000$ | Link | ||||||||
Mattias Ekholm | Gongshow | D | 33 | 1990-05-24 03:26:19 | No | 215 Lbs | 6 ft4 | No | No | No | 0 | Pro Only | 0$ | 0$ | No | Link | |||||||||||
Mikael Granlund | Gongshow | C/RW | 31 | 1992-02-26 15:26:19 | No | 185 Lbs | 5 ft10 | No | No | No | 3 | Pro Only | 5,100,000$ | 5,100,000$ | 5,100,000$ | 5,100,000$ | No | 5,100,000$ | 5,100,000$ | Link | |||||||
Nazem Kadri | Gongshow | C | 33 | 1990-10-06 03:26:19 | No | 190 Lbs | 6 ft0 | No | No | No | 0 | Pro Only | 0$ | 0$ | No | Link | |||||||||||
Radko Gudas | Gongshow | D | 33 | 1990-06-05 03:26:19 | No | 204 Lbs | 6 ft0 | No | No | No | 1 | Pro Only | 4,349,999$ | 4,349,999$ | 4,349,999$ | 4,349,999$ | No | Link | |||||||||
Taylor Hall | Gongshow | LW | 32 | 1991-11-14 09:26:19 | No | 205 Lbs | 6 ft1 | No | No | No | 3 | Pro Only | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | No | 6,000,000$ | 6,000,000$ | Link | |||||||
Tomas Hertl | Gongshow | C/LW | 30 | 1993-11-12 21:26:19 | No | 220 Lbs | 6 ft2 | No | No | No | 0 | Pro Only | 0$ | 0$ | No | Link | |||||||||||
Trevor Lewis | Gongshow | C | 36 | 1987-01-08 09:26:19 | No | 198 Lbs | 6 ft1 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link | |||||||||||
Tyler Myers | Gongshow | D | 33 | 1990-02-01 03:26:19 | No | 229 Lbs | 6 ft8 | No | No | No | 2 | Pro Only | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | No | 6,000,000$ | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
18 | 33.33 | 203 Lbs | 6 ft1 | 1.22 | 2,723,148$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
49,016,666$ | 38,250,000$ | 26,250,000$ | 15,150,000$ | 6,500,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Mats Zuccarello | Nazem Kadri | 39 | 0 | 1 | 4 | |
2 | Jeff Skinner | Tomas Hertl | Mikael Granlund | 30 | 0 | 2 | 3 |
3 | Erik Haula | 27 | 3 | 2 | 0 | ||
4 | Trevor Lewis | Calle Jarnkrok | 4 | 3 | 2 | 0 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Justin Faulk | Mattias Ekholm | 40 | 1 | 2 | 2 | |
2 | Tyler Myers | 30 | 1 | 2 | 2 | ||
3 | Justin Braun | Jack Johnson | 20 | 1 | 2 | 2 | |
4 | Justin Faulk | Mattias Ekholm | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Tomas Hertl | Nazem Kadri | 60 | 0 | 0 | 5 | |
2 | Mikael Granlund | Erik Haula | 40 | 1 | 0 | 4 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Justin Faulk | Mats Zuccarello | 63 | 0 | 0 | 5 | |
2 | Jeff Skinner | Mattias Ekholm | 37 | 0 | 2 | 3 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Erik Haula | 60 | 1 | 2 | 2 | |
2 | Mikael Granlund | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Justin Faulk | Mattias Ekholm | 60 | 1 | 2 | 2 |
2 | Tyler Myers | 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 | Justin Faulk | Mattias Ekholm | 60 | 1 | 2 | 2 | |
2 | Nazem Kadri | 40 | 1 | 2 | 2 | Tyler Myers | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Nazem Kadri | 60 | 1 | 2 | 2 | |
2 | Tomas Hertl | Mats Zuccarello | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Justin Faulk | Jeff Skinner | 60 | 1 | 2 | 2 |
2 | Mikael Granlund | Mattias Ekholm | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Jeff Skinner | Tomas Hertl | Justin Faulk | Nazem Kadri |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Erik Haula | Tomas Hertl | Justin Faulk | Mattias Ekholm |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Mikael Granlund, Jeff Skinner, | Mikael Granlund, Jeff Skinner |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Justin Braun, Mattias Ekholm, Tyler Myers | Justin Braun | Mattias Ekholm, Tyler Myers |
Penalty Shots |
---|
, Nazem Kadri, Tomas Hertl, Mats Zuccarello, Jeff Skinner |
Goalie |
---|
#1 : Cam Talbot, #2 : Brian Elliott |
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 | ||||||||
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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 | |||||
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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 | Level 3 | Level 4 | Luxury | |
Capacity | 4000 | 4000 | 4000 | 4000 | 1000 |
Ticket Price | 100 | 72 | 50 | 35 | 200 |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 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$ | 17000 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
0$ | 49,016,666$ | 49,016,666$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 9 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | -37,050,441$ | -37,050,441$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 85,000,000$ | 85,000,000$ | -60,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Adam Engstrom | Gongshow | ||||
Dominic Turgeon | Gongshow | ||||
Dylan Sadowy | Gongshow | ||||
Elliot Desnoyers | Gongshow | 2021 | 107 | ||
Gabriel Carlsson | Gongshow | 2016 | 63 | ||
Hendrix Lapierre | Gongshow | ||||
Joel Teasdale | Gongshow | 2020 | 96 | ||
Josh Brook | Gongshow | 2018 | 46 | ||
Logan Mailloux | Gongshow | ||||
Manix Landry | Gongshow | ||||
Matty Beniers | Gongshow |
Year | R1 | R2 | R3 | R4 | R5 |
---|---|---|---|---|---|
2023 | THU | ||||
2024 | KRA | ||||
2025 | GON BJT | ||||
2027 | GON | BUL GON |
# | 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 |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Total Regular Season | 246 | 114 | 77 | 0 | 10 | 8 | 16 | 21 | 746 | 671 | 75 | 123 | 54 | 37 | 0 | 8 | 3 | 10 | 11 | 370 | 334 | 36 | 123 | 60 | 40 | 0 | 2 | 5 | 6 | 10 | 376 | 337 | 39 | 309 | 746 | 1235 | 1981 | 7 | 2 | 201 | 261 | 258 | 49 | 8119 | 2725 | 2668 | 2665 | 216 | 7839 | 2520 | 1685 | 5113 | 779 | 157 | 20.15% | 651 | 129 | 80.18% | 8 | 3014 | 5751 | 52.41% | 2823 | 5476 | 51.55% | 1845 | 3506 | 52.62% | 5490 | 3274 | 5208 | 2181 | 4267 | 2143 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Total Playoff | 17 | 5 | 12 | 0 | 0 | 0 | 0 | 0 | 40 | 58 | -18 | 9 | 3 | 6 | 0 | 0 | 0 | 0 | 0 | 26 | 38 | -12 | 8 | 2 | 6 | 0 | 0 | 0 | 0 | 0 | 14 | 20 | -6 | 10 | 40 | 66 | 106 | 1 | 0 | 12 | 16 | 9 | 3 | 583 | 208 | 206 | 144 | 25 | 557 | 192 | 118 | 352 | 56 | 11 | 19.64% | 49 | 12 | 75.51% | 1 | 239 | 441 | 54.20% | 214 | 389 | 55.01% | 129 | 236 | 54.66% | 389 | 226 | 364 | 153 | 305 | 156 |
# | 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 |
---|