Hartford Wolf Pack | |
GP: 24 | W: 2 | L: 22 | OTL: 0 | P: 4 GF: 41 | GA: 103 | PP%: 0.00% | PK%: 78.13% GM : Sylvain Franck | Morale : 50 | Team Overall : N/A Next Games #396 vs Tucson Roadrunners |
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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 | Pat Maroon | X | 100.00 | 77 | 84 | 61 | 63 | 90 | 78 | 85 | 62 | 56 | 64 | 58 | 61 | 57 | 83 | 76 | 24 | 50 | 0 | 0 | 36 | 2 | 1,000,000$ | ||||
2 | Michael Raffl | X | X | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 35 | 2 | 1,651,000$ | ||
3 | Barrett Hayton | X | X | 100.00 | 69 | 36 | 81 | 73 | 79 | 88 | 81 | 69 | 81 | 71 | 68 | 72 | 74 | 65 | 67 | 86 | 47 | 0 | 0 | 24 | 1 | 1,400,000$ | |||
4 | Jack Studnicka | X | X | X | 100.00 | 71 | 38 | 89 | 64 | 76 | 84 | 80 | 63 | 75 | 60 | 61 | 65 | 62 | 66 | 67 | 69 | 47 | 0 | 0 | 25 | 3 | 775,000$ | ||
5 | Akil Thomas (R) | X | 100.00 | 65 | 38 | 81 | 67 | 73 | 82 | 75 | 65 | 63 | 61 | 66 | 62 | 68 | 65 | 67 | 69 | 50 | 0 | 0 | 23 | 2 | 775,000$ | ||||
6 | Jesse Ylonen | X | 100.00 | 67 | 38 | 94 | 65 | 77 | 87 | 85 | 64 | 68 | 66 | 61 | 63 | 71 | 65 | 66 | 73 | 50 | 0 | 0 | 24 | 1 | 925,000$ | ||||
7 | Roby Jarventie (R) | X | 100.00 | 67 | 40 | 72 | 66 | 77 | 80 | 72 | 65 | 62 | 63 | 64 | 61 | 66 | 62 | 64 | 77 | 50 | 0 | 0 | 22 | 2 | 925,000$ | ||||
8 | Valtteri Puustinen (R) | X | 100.00 | 62 | 35 | 94 | 68 | 67 | 83 | 88 | 67 | 62 | 66 | 60 | 61 | 68 | 65 | 67 | 47 | 50 | 0 | 0 | 25 | 4 | 775,000$ | ||||
9 | Hendrix Lapierre (R) | X | 100.00 | 61 | 37 | 87 | 69 | 70 | 79 | 85 | 67 | 73 | 68 | 62 | 63 | 65 | 62 | 64 | 82 | 50 | 0 | 0 | 22 | 2 | 832,500$ | ||||
10 | Jiri Kulich (R) | X | 100.00 | 68 | 38 | 88 | 67 | 75 | 91 | 82 | 65 | 63 | 58 | 64 | 62 | 66 | 61 | 67 | 82 | 50 | 0 | 0 | 20 | 2 | 950,000$ | ||||
11 | Stephen Johns | X | 100.00 | 40 | 35 | 40 | 40 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 25 | 25 | 11 | 50 | 0 | 0 | 32 | 1 | 950,000$ | ||||
12 | Steven Santini | X | 100.00 | 74 | 38 | 86 | 63 | 82 | 79 | 84 | 59 | 30 | 60 | 55 | 65 | 47 | 69 | 71 | 60 | 47 | 0 | N | 0 | 29 | 4 | 1,999,999$ | |||
13 | Ben Harpur | X | 100.00 | 40 | 35 | 40 | 62 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 68 | 70 | 11 | 50 | 0 | 0 | 29 | 1 | 775,000$ | ||||
14 | Ville Heinola (R) | X | 100.00 | 64 | 39 | 77 | 65 | 73 | 82 | 78 | 64 | 30 | 65 | 57 | 58 | 50 | 63 | 65 | 81 | 50 | 0 | 0 | 23 | 2 | 832,500$ | ||||
Scratches | |||||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 62 | 40 | 74 | 62 | 67 | 82 | 83 | 59 | 52 | 59 | 57 | 58 | 56 | 60 | 62 | 56 | 49 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Michael Dipietro (R) | 100.00 | 65 | 95 | 72 | 74 | 66 | 61 | 61 | 61 | 61 | 50 | 77 | 65 | 73 | 64 | 50 | 0 | 0 | 25 | 4 | 775,000$ | |
2 | Karel Vejmelka | 100.00 | 75 | 99 | 82 | 91 | 76 | 81 | 80 | 81 | 81 | 69 | 88 | 70 | 81 | 57 | 47 | 0 | 0 | 28 | 2 | 842,500$ | |
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 70 | 97 | 77 | 83 | 71 | 71 | 71 | 71 | 71 | 60 | 83 | 68 | 77 | 61 | 49 | 0 |
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 | 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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Akil Thomas | Hartford Wolf Pack (NYR) | C | 23 | 2001-01-31 | CAN | Yes | 195 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 2 | 2024-08-20 | False | False | Pro & Farm | 775,000$ | 543,299$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Barrett Hayton | Hartford Wolf Pack (NYR) | C/LW | 24 | 2000-06-09 | CAN | No | 207 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,400,000$ | 981,443$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Ben Harpur | Hartford Wolf Pack (NYR) | D | 29 | 1995-01-12 | CAN | No | 231 Lbs | 6 ft6 | No | No | N/A | No | No | 1 | 2024-05-19 | False | False | Pro & Farm | 775,000$ | 543,299$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Hendrix Lapierre | Hartford Wolf Pack (NYR) | C | 22 | 2002-02-09 | CAN | Yes | 180 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 2 | 2024-08-20 | False | False | Pro & Farm | 832,500$ | 583,608$ | 0$ | 0$ | No | 832,500$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Jack Studnicka | Hartford Wolf Pack (NYR) | C/LW/RW | 25 | 1999-02-18 | CAN | No | 187 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 775,000$ | 543,299$ | 0$ | 0$ | No | 775,000$ | 775,000$ | - | - | - | - | - | - | - | 600,000$ | 600,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Jesse Ylonen | Hartford Wolf Pack (NYR) | RW | 24 | 1999-10-03 | FIN | No | 200 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 648,454$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Jiri Kulich | Hartford Wolf Pack (NYR) | RW | 20 | 2004-04-14 | CZE | Yes | 186 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 2 | 2024-08-20 | False | False | Pro & Farm | 950,000$ | 665,979$ | 0$ | 0$ | No | 950,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Karel Vejmelka | Hartford Wolf Pack (NYR) | G | 28 | 1996-05-25 | CZE | No | 224 Lbs | 6 ft4 | No | No | Trade | 2024-01-16 | No | No | 2 | False | False | Pro & Farm | 842,500$ | 590,619$ | 0$ | 0$ | No | 842,500$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Michael Dipietro | Hartford Wolf Pack (NYR) | G | 25 | 1999-06-09 | CAN | Yes | 200 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 4 | 2024-08-20 | False | False | Pro & Farm | 775,000$ | 543,299$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | 600,000$ | 600,000$ | 600,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | |
Michael Raffl | Hartford Wolf Pack (NYR) | C/LW/RW | 35 | 1988-12-01 | AUT | No | 205 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,651,000$ | 1,157,402$ | 0$ | 0$ | No | 1,651,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Pat Maroon | Hartford Wolf Pack (NYR) | LW | 36 | 1988-07-27 | USA | No | 234 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,000,000$ | 701,031$ | 0$ | 0$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Roby Jarventie | Hartford Wolf Pack (NYR) | LW | 22 | 2002-09-08 | FIN | Yes | 184 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 2 | 2024-08-20 | False | False | Pro & Farm | 925,000$ | 648,454$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Stephen Johns | Hartford Wolf Pack (NYR) | D | 32 | 1992-04-18 | USA | No | 225 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 950,000$ | 665,979$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Steven Santini | Hartford Wolf Pack (NYR) | D | 29 | 1995-03-07 | USA | No | 209 Lbs | 6 ft2 | Yes | No | Assign Manually | No | No | 4 | 2024-08-21 | False | False | Pro & Farm | 1,999,999$ | 1,402,061$ | 0$ | 0$ | No | 1,999,999$ | 1,999,999$ | 1,999,999$ | - | - | - | - | - | - | 600,000$ | 600,000$ | 600,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | |
Valtteri Puustinen | Hartford Wolf Pack (NYR) | RW | 25 | 1999-06-04 | FIN | Yes | 183 Lbs | 5 ft9 | No | No | Assign Manually | No | No | 4 | 2024-08-20 | False | False | Pro & Farm | 775,000$ | 543,299$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | 600,000$ | 600,000$ | 600,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | |
Ville Heinola | Hartford Wolf Pack (NYR) | D | 23 | 2001-03-02 | FIN | Yes | 185 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | 2024-05-19 | False | False | Pro & Farm | 832,500$ | 583,608$ | 0$ | 0$ | No | 832,500$ | - | - | - | - | - | - | - | - | 832,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
16 | 26.38 | 202 Lbs | 6 ft2 | 2.19 | 1,011,469$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 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 | ||||
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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 |
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, , , , |
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 |
1 | Abbotsford Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 15 | 9 | 17 | 0 | 6 | 173 | 188 | 221 | 0 | 37 | 20 | 4 | 9 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 197 | 446 | 44.17% | 234 | 635 | 36.85% | 120 | 350 | 34.29% | 367 | 253 | 823 | 161 | 249 | 100 |
2 | Bridgeport Islanders | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 12 | 14 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 2 | 0.250 | 12 | 24 | 36 | 0 | 0 | 15 | 9 | 17 | 0 | 167 | 173 | 188 | 221 | 0 | 167 | 38 | 10 | 91 | 1 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 197 | 446 | 44.17% | 234 | 635 | 36.85% | 120 | 350 | 34.29% | 367 | 253 | 823 | 161 | 249 | 100 |
3 | Colorado Eagles | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 15 | 9 | 17 | 0 | 30 | 173 | 188 | 221 | 0 | 46 | 24 | 4 | 22 | 1 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 197 | 446 | 44.17% | 234 | 635 | 36.85% | 120 | 350 | 34.29% | 367 | 253 | 823 | 161 | 249 | 100 |
4 | Grand Rapids Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 15 | 9 | 17 | 0 | 30 | 173 | 188 | 221 | 0 | 38 | 11 | 9 | 30 | 3 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 197 | 446 | 44.17% | 234 | 635 | 36.85% | 120 | 350 | 34.29% | 367 | 253 | 823 | 161 | 249 | 100 |
5 | Iowa Wild | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 15 | 9 | 17 | 0 | 10 | 173 | 188 | 221 | 0 | 58 | 7 | 0 | 10 | 3 | 0 | 0.00% | 0 | 0 | 0% | 0 | 197 | 446 | 44.17% | 234 | 635 | 36.85% | 120 | 350 | 34.29% | 367 | 253 | 823 | 161 | 249 | 100 |
6 | Manitoba Moose | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 15 | 9 | 17 | 0 | 79 | 173 | 188 | 221 | 0 | 118 | 29 | 2 | 58 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 197 | 446 | 44.17% | 234 | 635 | 36.85% | 120 | 350 | 34.29% | 367 | 253 | 823 | 161 | 249 | 100 |
7 | Milwaukee Admirals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 8 | 12 | 0 | 1 | 15 | 9 | 17 | 0 | 31 | 173 | 188 | 221 | 0 | 27 | 4 | 6 | 17 | 0 | 0 | 0% | 2 | 0 | 100.00% | 0 | 197 | 446 | 44.17% | 234 | 635 | 36.85% | 120 | 350 | 34.29% | 367 | 253 | 823 | 161 | 249 | 100 |
8 | Providence Bruins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 15 | 9 | 17 | 0 | 39 | 173 | 188 | 221 | 0 | 38 | 18 | 2 | 13 | 3 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 197 | 446 | 44.17% | 234 | 635 | 36.85% | 120 | 350 | 34.29% | 367 | 253 | 823 | 161 | 249 | 100 |
9 | San Diego Gulls | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 15 | 9 | 17 | 0 | 41 | 173 | 188 | 221 | 0 | 53 | 16 | 0 | 20 | 1 | 0 | 0.00% | 0 | 0 | 0% | 0 | 197 | 446 | 44.17% | 234 | 635 | 36.85% | 120 | 350 | 34.29% | 367 | 253 | 823 | 161 | 249 | 100 |
10 | San Jose Barracuda | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 15 | 9 | 17 | 0 | 13 | 173 | 188 | 221 | 0 | 33 | 14 | 11 | 6 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 197 | 446 | 44.17% | 234 | 635 | 36.85% | 120 | 350 | 34.29% | 367 | 253 | 823 | 161 | 249 | 100 |
11 | Springfield Thunderbirds | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 15 | 9 | 17 | 0 | 26 | 173 | 188 | 221 | 0 | 76 | 14 | 6 | 39 | 0 | 0 | 0% | 3 | 1 | 66.67% | 0 | 197 | 446 | 44.17% | 234 | 635 | 36.85% | 120 | 350 | 34.29% | 367 | 253 | 823 | 161 | 249 | 100 |
12 | Syracuse Crunch | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 16 | -9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 16 | -9 | 0 | 0.000 | 7 | 14 | 21 | 0 | 0 | 15 | 9 | 17 | 0 | 60 | 173 | 188 | 221 | 0 | 143 | 45 | 11 | 59 | 7 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 197 | 446 | 44.17% | 234 | 635 | 36.85% | 120 | 350 | 34.29% | 367 | 253 | 823 | 161 | 249 | 100 |
13 | Utica Comets | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | -7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 15 | 9 | 17 | 0 | 21 | 173 | 188 | 221 | 0 | 75 | 20 | 8 | 18 | 3 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 197 | 446 | 44.17% | 234 | 635 | 36.85% | 120 | 350 | 34.29% | 367 | 253 | 823 | 161 | 249 | 100 |
14 | Wilkes-Barre/Scranton Penguins | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 17 | -15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 17 | -15 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 15 | 9 | 17 | 0 | 29 | 173 | 188 | 221 | 0 | 134 | 42 | 8 | 26 | 7 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 197 | 446 | 44.17% | 234 | 635 | 36.85% | 120 | 350 | 34.29% | 367 | 253 | 823 | 161 | 249 | 100 |
Total | 24 | 2 | 22 | 0 | 0 | 0 | 0 | 0 | 41 | 103 | -62 | 12 | 2 | 10 | 0 | 0 | 0 | 0 | 0 | 18 | 46 | -28 | 12 | 0 | 12 | 0 | 0 | 0 | 0 | 0 | 23 | 57 | -34 | 4 | 0.083 | 41 | 82 | 123 | 0 | 1 | 15 | 9 | 17 | 0 | 582 | 173 | 188 | 221 | 0 | 1043 | 302 | 81 | 418 | 33 | 0 | 0.00% | 32 | 7 | 78.13% | 0 | 197 | 446 | 44.17% | 234 | 635 | 36.85% | 120 | 350 | 34.29% | 367 | 253 | 823 | 161 | 249 | 100 | |
_Since Last GM Reset | 24 | 2 | 22 | 0 | 0 | 0 | 0 | 0 | 41 | 103 | -62 | 12 | 2 | 10 | 0 | 0 | 0 | 0 | 0 | 18 | 46 | -28 | 12 | 0 | 12 | 0 | 0 | 0 | 0 | 0 | 23 | 57 | -34 | 4 | 0.083 | 41 | 82 | 123 | 0 | 1 | 15 | 9 | 17 | 0 | 582 | 173 | 188 | 221 | 0 | 1043 | 302 | 81 | 418 | 33 | 0 | 0.00% | 32 | 7 | 78.13% | 0 | 197 | 446 | 44.17% | 234 | 635 | 36.85% | 120 | 350 | 34.29% | 367 | 253 | 823 | 161 | 249 | 100 | |
_Vs Conference | 15 | 1 | 14 | 0 | 0 | 0 | 0 | 0 | 29 | 68 | -39 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 17 | -9 | 10 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 21 | 51 | -30 | 2 | 0.067 | 29 | 58 | 87 | 0 | 0 | 15 | 9 | 17 | 0 | 395 | 173 | 188 | 221 | 0 | 675 | 192 | 41 | 265 | 22 | 0 | 0.00% | 18 | 3 | 83.33% | 0 | 197 | 446 | 44.17% | 234 | 635 | 36.85% | 120 | 350 | 34.29% | 367 | 253 | 823 | 161 | 249 | 100 | |
_Vs Division | 5 | 1 | 8 | 0 | 0 | 0 | 0 | 0 | 11 | 27 | -16 | 2 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 3 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 7 | 16 | -9 | 2 | 0.200 | 11 | 22 | 33 | 0 | 0 | 15 | 9 | 17 | 0 | 129 | 173 | 188 | 221 | 0 | 219 | 74 | 22 | 102 | 13 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 197 | 446 | 44.17% | 234 | 635 | 36.85% | 120 | 350 | 34.29% | 367 | 253 | 823 | 161 | 249 | 100 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
24 | 4 | L2 | 41 | 82 | 123 | 582 | 1043 | 302 | 81 | 418 | 0 | 1 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
24 | 2 | 22 | 0 | 0 | 0 | 0 | 41 | 103 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
12 | 2 | 10 | 0 | 0 | 0 | 0 | 18 | 46 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
12 | 0 | 12 | 0 | 0 | 0 | 0 | 23 | 57 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
1 | 9 | 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 |
---|---|---|---|---|---|---|
33 | 0 | 0.00% | 32 | 7 | 78.13% | 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 |
---|---|---|---|---|---|---|---|
173 | 188 | 221 | 0 | 15 | 9 | 17 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
197 | 446 | 44.17% | 234 | 635 | 36.85% | 120 | 350 | 34.29% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
367 | 253 | 823 | 161 | 249 | 100 |
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 |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 22,553 | 11,464 |
Attendance PCT | 93.97% | 95.53% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
24 | 2835 - 94.49% | 94,529$ | 1,134,352$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
483,836$ | 1,618,350$ | 1,120,750$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
8,342$ | 483,836$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
2,268,704$ | 136 | 8,342$ | 1,134,512$ |
# | 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 |
---|