Marlies | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : | Morale : 50 | Team Overall : 61 |
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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 | PT | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Danila Klimovich | X | 100.00 | 66 | 44 | 65 | 65 | 67 | 62 | 60 | 62 | 43 | 56 | 59 | 61 | 62 | 50 | 50 | 0 | 50 | 60 | 0 | 22 | 1 | 833,333$ | |||||
2 | Oskar Olausson | X | 100.00 | 60 | 42 | 71 | 65 | 63 | 62 | 60 | 62 | 43 | 58 | 56 | 56 | 61 | 50 | 50 | 0 | 50 | 58 | 0 | 22 | 1 | 894,167$ | |||||
3 | Oskar Pettersson | X | 100.00 | 63 | 41 | 71 | 62 | 66 | 61 | 58 | 59 | 41 | 53 | 54 | 55 | 59 | 50 | 50 | 0 | 50 | 57 | 0 | 21 | 2 | 835,000$ | |||||
4 | Kevin Korchinski | X | 100.00 | 60 | 44 | 73 | 68 | 69 | 70 | 65 | 68 | 40 | 65 | 59 | 62 | 65 | 55 | 50 | 0 | 50 | 63 | 0 | 21 | 1 | 918,333$ | |||||
5 | Vincent Iorio | X | 100.00 | 66 | 42 | 70 | 66 | 68 | 63 | 61 | 63 | 40 | 59 | 55 | 68 | 61 | 50 | 50 | 0 | 50 | 62 | 0 | 22 | 1 | 845,000$ | |||||
Scratches | ||||||||||||||||||||||||||||||
1 | Dillon Dube (R) | X | X | 100.00 | 78 | 54 | 75 | 86 | 77 | 85 | 84 | 84 | 71 | 72 | 70 | 68 | 75 | 69 | 59 | 0 | 94 | 74 | 0 | 26 | 0 | 0$ | ||||
2 | Alex Laferriere | X | X | 100.00 | 75 | 47 | 82 | 79 | 83 | 83 | 76 | 83 | 51 | 74 | 75 | 70 | 79 | 56 | 50 | 0 | 50 | 73 | 0 | 23 | 0 | 0$ | ||||
3 | Nils Aman | X | X | X | 100.00 | 65 | 41 | 80 | 75 | 76 | 81 | 68 | 68 | 57 | 65 | 63 | 67 | 69 | 59 | 50 | 0 | 50 | 66 | 0 | 25 | 0 | 0$ | |||
4 | Matt Rempe | X | X | X | 100.00 | 77 | 70 | 58 | 64 | 88 | 71 | 68 | 65 | 47 | 59 | 60 | 63 | 63 | 55 | 50 | 0 | 50 | 63 | 0 | 23 | 0 | 0$ | |||
5 | Egor Afanasyev | X | X | 100.00 | 68 | 46 | 65 | 69 | 69 | 64 | 63 | 65 | 44 | 62 | 61 | 65 | 65 | 51 | 50 | 0 | 94 | 63 | 0 | 24 | 0 | 0$ | ||||
6 | Aydar Suniev (R) | X | 100.00 | 56 | 40 | 69 | 67 | 75 | 76 | 59 | 62 | 40 | 59 | 59 | 59 | 63 | 51 | 50 | 0 | 50 | 61 | 0 | 20 | 0 | 0$ | |||||
7 | Adam Beckman | X | X | 100.00 | 58 | 42 | 71 | 64 | 64 | 65 | 63 | 64 | 44 | 61 | 60 | 53 | 63 | 52 | 50 | 0 | 50 | 60 | 0 | 24 | 0 | 0$ | ||||
8 | Rutger McGroarty (R) | X | 100.00 | 60 | 42 | 64 | 61 | 63 | 61 | 60 | 62 | 42 | 61 | 57 | 55 | 60 | 50 | 50 | 0 | 43 | 58 | 0 | 21 | 0 | 0$ | |||||
9 | Maxim Barbashev (R) | X | X | X | 100.00 | 60 | 40 | 59 | 62 | 61 | 58 | 56 | 55 | 40 | 54 | 54 | 56 | 57 | 50 | 50 | 0 | 50 | 56 | 0 | 21 | 0 | 0$ | |||
10 | Noah Laba (R) | X | X | X | 100.00 | 61 | 40 | 66 | 61 | 62 | 58 | 56 | 56 | 40 | 54 | 54 | 55 | 57 | 50 | 50 | 0 | 50 | 56 | 0 | 21 | 0 | 0$ | |||
11 | Artem Shlaine (R) | X | X | X | 100.00 | 57 | 40 | 66 | 62 | 58 | 59 | 57 | 55 | 40 | 54 | 53 | 55 | 57 | 51 | 50 | 0 | 50 | 55 | 0 | 23 | 1 | 8,700,000$ | |||
12 | Igor Chernyshov (R) | X | X | X | 100.00 | 60 | 40 | 66 | 62 | 60 | 55 | 50 | 51 | 40 | 51 | 50 | 56 | 53 | 50 | 50 | 0 | 50 | 54 | 0 | 19 | 0 | 0$ | |||
13 | Trevor Connelly (R) | X | X | X | 100.00 | 57 | 40 | 62 | 62 | 57 | 55 | 50 | 52 | 40 | 51 | 51 | 51 | 54 | 50 | 50 | 0 | 50 | 53 | 0 | 19 | 0 | 0$ | |||
TEAM AVERAGE | 100.00 | 64 | 44 | 69 | 67 | 68 | 66 | 62 | 63 | 45 | 59 | 58 | 60 | 62 | 53 | 51 | 0 | 55 | 61 |
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 | PT | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
TEAM AVERAGE | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Kirk Muller | 68 | 75 | 74 | 72 | 64 | 60 | 1 | CAN | 59 | 1 | 1,000,000$ |
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 |
---|
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 | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | 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 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
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Adam Beckman | Marlies (TOR) | LW/RW | 24 | 2001-05-10 | CAN | No | 194 Lbs | 6 ft2 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||||
Alex Laferriere | Marlies (TOR) | LW/RW | 23 | 2001-10-28 | USA | No | 205 Lbs | 6 ft1 | No | No | Trade | 2025-01-13 | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||
Artem Shlaine | Marlies (TOR) | C/LW/RW | 23 | 2002-03-07 | USA | Yes | 165 Lbs | 6 ft1 | No | No | Prospect | No | No | 1 | 2025-07-28 | False | False | Pro & Farm | 8,700,000$ | 8,700,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Aydar Suniev | Marlies (TOR) | LW | 20 | 2004-11-16 | RUS | Yes | 198 Lbs | 6 ft2 | No | No | Prospect | No | No | 0 | 2025-06-15 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | 923,333$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||
Danila Klimovich | Marlies (TOR) | RW | 22 | 2003-01-09 | BEL | No | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 833,333$ | 833,333$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Dillon Dube | Marlies (TOR) | C/LW | 26 | 1998-07-20 | CAN | Yes | 185 Lbs | 5 ft11 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||||
Egor Afanasyev | Marlies (TOR) | C/LW | 24 | 2001-01-23 | RUS | No | 209 Lbs | 6 ft4 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||||
Igor Chernyshov | Marlies (TOR) | C/LW/RW | 19 | 2005-11-30 | RUS | Yes | 168 Lbs | 6 ft4 | No | No | Prospect | No | No | 0 | 2025-06-15 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||
Kevin Korchinski | Marlies (TOR) | D | 21 | 2004-06-21 | CAN | No | 192 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 918,333$ | 918,333$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Matt Rempe | Marlies (TOR) | C/LW/RW | 23 | 2002-06-29 | CAN | No | 255 Lbs | 6 ft9 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||||
Maxim Barbashev | Marlies (TOR) | C/LW/RW | 21 | 2003-12-18 | RUS | Yes | 183 Lbs | 6 ft1 | No | No | Prospect | No | No | 0 | 2025-06-15 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||
Nils Aman | Marlies (TOR) | C/LW/RW | 25 | 2000-02-07 | SWE | No | 179 Lbs | 6 ft2 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||||
Noah Laba | Marlies (TOR) | C/LW/RW | 21 | 2003-08-04 | USA | Yes | 192 Lbs | 6 ft2 | No | No | Prospect | No | No | 0 | 2025-06-15 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||
Oskar Olausson | Marlies (TOR) | RW | 22 | 2002-11-10 | SWE | No | 181 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 894,167$ | 894,167$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Oskar Pettersson | Marlies (TOR) | RW | 21 | 2004-02-04 | SWE | No | 198 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 835,000$ | 835,000$ | 0$ | 0$ | No | 835,000$ | - | - | - | - | - | - | - | - | 835,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Rutger McGroarty | Marlies (TOR) | RW | 21 | 2004-03-30 | USA | Yes | 205 Lbs | 6 ft1 | No | No | Trade | 2025-07-16 | No | No | 0 | 2025-06-15 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | 950,000$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Trevor Connelly | Marlies (TOR) | C/LW/RW | 19 | 2006-02-28 | USA | Yes | 161 Lbs | 6 ft1 | No | No | Prospect | No | No | 0 | 2025-06-15 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||
Vincent Iorio | Marlies (TOR) | D | 22 | 2002-11-14 | CAN | No | 205 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 845,000$ | 845,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
18 | 22.06 | 193 Lbs | 6 ft2 | 0.39 | 723,657$ |
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 | Danila Klimovich | 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 | Kevin Korchinski | Vincent Iorio | 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 |
Kevin Korchinski, Vincent Iorio, | Kevin Korchinski | Vincent Iorio, |
Penalty Shots |
---|
, , , , |
Goalie |
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#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% | 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 | 2000 | 1000 |
Ticket Price | 35 | 15 |
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 | 150 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
0$ | 1,302,583$ | 1,302,583$ | 1,000,000$0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 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 |
---|