Intrepides | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Jeremy Lyrette | Morale : 1 | Team Overall : 69 |
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Priority | Type | Description |
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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 | Brandon Hagel (R) | X | 100.00 | 75 | 56 | 91 | 91 | 74 | 82 | 86 | 80 | 54 | 75 | 85 | 76 | 60 | 70 | 74 | 0 | 85 | 74 | 0 | 25 | 3 | 1,500,000$ | ||||
2 | Alex Formenton (R) | X | 100.00 | 83 | 60 | 84 | 93 | 81 | 81 | 88 | 75 | 50 | 70 | 79 | 78 | 55 | 69 | 72 | 0 | 84 | 72 | 0 | 24 | 1 | 950,000$ | ||||
3 | Tyler Ennis | X | X | 100.00 | 82 | 53 | 94 | 90 | 76 | 78 | 62 | 76 | 70 | 77 | 74 | 70 | 55 | 82 | 80 | 0 | 84 | 72 | 0 | 33 | 1 | 900,000$ | |||
4 | Parker Kelly (R) | X | 100.00 | 95 | 77 | 69 | 89 | 86 | 76 | 44 | 72 | 50 | 68 | 75 | 79 | 53 | 67 | 70 | 0 | 83 | 70 | 0 | 24 | 1 | 746,667$ | ||||
5 | Zach Aston-Reese | X | X | 100.00 | 96 | 66 | 91 | 85 | 90 | 79 | 75 | 69 | 50 | 69 | 68 | 84 | 50 | 72 | 75 | 0 | 76 | 70 | 0 | 29 | 1 | 1,725,000$ | |||
6 | Logan O'Connor (R) | X | 100.00 | 82 | 56 | 90 | 88 | 77 | 79 | 89 | 71 | 50 | 71 | 70 | 88 | 50 | 70 | 69 | 0 | 84 | 70 | 0 | 27 | 1 | 1,850,000$ | ||||
7 | Nils Hoglander (R) | X | X | 100.00 | 73 | 54 | 91 | 92 | 75 | 79 | 65 | 72 | 50 | 68 | 75 | 69 | 53 | 69 | 73 | 0 | 83 | 69 | 0 | 22 | 2 | 1,125,000$ | |||
8 | Josh Archibald | X | 100.00 | 96 | 64 | 81 | 85 | 85 | 75 | 40 | 62 | 50 | 62 | 62 | 78 | 50 | 73 | 75 | 0 | 83 | 66 | 0 | 30 | 1 | 1,500,000$ | ||||
9 | Ty Smith (R) | X | 100.00 | 73 | 53 | 93 | 93 | 75 | 83 | 74 | 72 | 50 | 74 | 70 | 58 | 50 | 69 | 72 | 0 | 86 | 69 | 0 | 23 | 2 | 1,325,000$ | ||||
10 | Mark Friedman (R) | X | 100.00 | 79 | 62 | 81 | 87 | 79 | 79 | 40 | 68 | 50 | 69 | 67 | 73 | 50 | 65 | 69 | 0 | 74 | 68 | 0 | 27 | 1 | 1,550,000$ | ||||
11 | Wyatt Kalynuk (R) | X | 100.00 | 89 | 56 | 91 | 86 | 82 | 78 | 40 | 62 | 50 | 60 | 64 | 61 | 50 | 66 | 66 | 0 | 84 | 65 | 0 | 26 | 1 | 1,775,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 84 | 60 | 87 | 89 | 80 | 79 | 64 | 71 | 52 | 69 | 72 | 74 | 52 | 70 | 72 | 0 | 82 | 70 |
Priority | Type | Description |
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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 | Pheonix Copley | 100.00 | 69 | 61 | 50 | 89 | 67 | 68 | 64 | 63 | 66 | 65 | 66 | 67 | 67 | 0 | 62 | 64 | 0 | 31 | 1 | 1,100,000$ | |
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 69 | 61 | 50 | 89 | 67 | 68 | 64 | 63 | 66 | 65 | 66 | 67 | 67 | 0 | 62 | 64 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Lindy Ruff | 78 | 69 | 85 | 91 | 99 | 75 | 99 | CAN | 60 | 2 | 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 |
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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 |
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Alex Formenton | Intrepides (PEN) | LW | 24 | 1999-09-13 17:04:48 | Yes | 195 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 950,000$ | 0$ | 0$ | No | |||||||||||
Brandon Hagel | Intrepides (PEN) | LW | 25 | 1998-08-27 12:36:57 | Yes | 174 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 1,500,000$ | 0$ | 0$ | No | 1,500,000$ | 1,500,000$ | Link | ||||||||
Josh Archibald | Intrepides (PEN) | RW | 30 | 1992-10-06 09:11:45 | No | 176 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 1,500,000$ | 0$ | 0$ | No | Link | ||||||||||
Logan O'Connor | Intrepides (PEN) | RW | 27 | 1996-08-14 01:19:35 | Yes | 175 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 1,850,000$ | 0$ | 0$ | No | |||||||||||
Mark Friedman | Intrepides (PEN) | D | 27 | 1995-12-25 14:15:44 | Yes | 185 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 1,550,000$ | 0$ | 0$ | No | |||||||||||
Nils Hoglander | Intrepides (PEN) | LW/RW | 22 | 2000-12-20 15:40:54 | Yes | 185 Lbs | 5 ft9 | No | No | No | 2 | Pro & Farm | 1,125,000$ | 0$ | 0$ | No | 1,125,000$ | Link | |||||||||
Parker Kelly | Intrepides (PEN) | LW | 24 | 1999-05-14 12:16:48 | Yes | 190 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 746,667$ | 0$ | 0$ | No | |||||||||||
Pheonix Copley | Intrepides (PEN) | G | 31 | 1992-01-18 04:38:43 | No | 200 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 1,100,000$ | 0$ | 0$ | No | |||||||||||
Ty Smith | Intrepides (PEN) | D | 23 | 2000-03-24 15:50:20 | Yes | 180 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 1,325,000$ | 0$ | 0$ | No | 1,325,000$ | Link | |||||||||
Tyler Ennis | Intrepides (PEN) | LW/RW | 33 | 1989-10-06 21:26:19 | No | 160 Lbs | 5 ft9 | No | No | No | 1 | Pro & Farm | 900,000$ | 0$ | 0$ | No | Link | ||||||||||
Wyatt Kalynuk | Intrepides (PEN) | D | 26 | 1997-04-14 12:19:27 | Yes | 180 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 1,775,000$ | 0$ | 0$ | No | |||||||||||
Zach Aston-Reese | Intrepides (PEN) | LW/RW | 29 | 1994-08-10 12:41:35 | No | 204 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 1,725,000$ | 0$ | 0$ | No | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
12 | 26.75 | 184 Lbs | 6 ft0 | 1.33 | 1,337,222$ |
5 vs 5 Forward | |||||||
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Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Brandon Hagel | Tyler Ennis | 40 | 1 | 2 | 2 | |
2 | Alex Formenton | Josh Archibald | Logan O'Connor | 30 | 1 | 2 | 2 |
3 | Parker Kelly | Nils Hoglander | 20 | 1 | 2 | 2 | |
4 | Brandon Hagel | Josh Archibald | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
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Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Ty Smith | Mark Friedman | 40 | 1 | 2 | 2 | |
2 | Wyatt Kalynuk | 30 | 1 | 2 | 2 | ||
3 | 20 | 1 | 2 | 2 | |||
4 | Ty Smith | Mark Friedman | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Brandon Hagel | Tyler Ennis | 60 | 1 | 2 | 2 | |
2 | Alex Formenton | Josh Archibald | Logan O'Connor | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Ty Smith | Mark Friedman | 60 | 1 | 2 | 2 | |
2 | Wyatt Kalynuk | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
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Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Brandon Hagel | 60 | 1 | 2 | 2 | |
2 | Tyler Ennis | Alex Formenton | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Ty Smith | Mark Friedman | 60 | 1 | 2 | 2 |
2 | Wyatt Kalynuk | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Brandon Hagel | 60 | 1 | 2 | 2 | Ty Smith | Mark Friedman | 60 | 1 | 2 | 2 |
2 | 40 | 1 | 2 | 2 | Wyatt Kalynuk | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Brandon Hagel | 60 | 1 | 2 | 2 | |
2 | Tyler Ennis | Alex Formenton | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Ty Smith | Mark Friedman | 60 | 1 | 2 | 2 |
2 | Wyatt Kalynuk | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
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Left Wing | Center | Right Wing | Defense | Defense |
Brandon Hagel | Tyler Ennis | Ty Smith | Mark Friedman |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Brandon Hagel | Tyler Ennis | Ty Smith | Mark Friedman |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Parker Kelly, Nils Hoglander, Logan O'Connor | Parker Kelly, Nils Hoglander | Logan O'Connor |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Wyatt Kalynuk, Ty Smith, Mark Friedman | Wyatt Kalynuk | Ty Smith, Mark Friedman |
Penalty Shots |
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Brandon Hagel, , Tyler Ennis, Alex Formenton, Logan O'Connor |
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 | 0.00% | 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 | ||||||||||||
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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 |
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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 |
41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
0$ | 1,604,667$ | 1,604,667$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Parker Kelly | 11 | 13 | 23 | 36 | 24 | 6 | 9 | 7 | 72 | 18.06% | 9 | 210 | 19.11 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 100.00 | 0 | 3.43 | 0 | 0 |
2 | Nils Hoglander | 11 | 19 | 16 | 35 | 25 | 0 | 8 | 4 | 69 | 27.54% | 5 | 202 | 18.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 50.00 | 2 | 3.45 | 0 | 0 |
3 | Tyler Ennis | 11 | 10 | 14 | 24 | 6 | 4 | 13 | 11 | 51 | 19.61% | 2 | 244 | 22.25 | 3 | 6 | 9 | 7 | 1 | 1 | 2 | 2 | 2 | 0 | 59.38 | 2 | 1.96 | 0 | 0 |
4 | Logan O'Connor | 11 | 9 | 10 | 19 | 4 | 2 | 21 | 5 | 33 | 27.27% | 2 | 217 | 19.75 | 6 | 3 | 9 | 6 | 0 | 0 | 0 | 1 | 0 | 1 | 63.64 | 1 | 1.75 | 0 | 0 |
5 | Alex Formenton | 11 | 8 | 8 | 16 | 0 | 21 | 15 | 7 | 30 | 26.67% | 7 | 194 | 17.69 | 2 | 2 | 4 | 4 | 2 | 0 | 2 | 2 | 0 | 0 | 58.33 | 1 | 1.64 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Pheonix Copley | 28 | 19 | 3 | 1 | 0.906 | 3.25 | 1403 | 2 | 1 | 76 | 811 | 438 | 2 | 0 | 0.750 | 4 |
2 | Casey DeSmith | 17 | 15 | 1 | 0 | 0.920 | 2.55 | 966 | 0 | 1 | 41 | 510 | 283 | 3 | 0 | 0.00% | 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 |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2020 | 82 | 12 | 61 | 0 | 3 | 4 | 0 | 2 | 340 | 571 | -231 | 41 | 8 | 28 | 0 | 2 | 3 | 0 | 0 | 180 | 277 | -97 | 41 | 4 | 33 | 0 | 1 | 1 | 0 | 2 | 160 | 294 | -134 | 36 | 340 | 636 | 976 | 2 | 0 | 62 | 140 | 135 | 8 | 1856 | 499 | 648 | 697 | 26 | 3079 | 1025 | 738 | 1119 | 214 | 85 | 39.72% | 337 | 206 | 38.87% | 11 | 343 | 937 | 36.61% | 550 | 1408 | 39.06% | 726 | 1896 | 38.29% | 1460 | 808 | 2082 | 805 | 1393 | 608 |
2021 | 82 | 17 | 55 | 0 | 4 | 3 | 0 | 3 | 311 | 520 | -209 | 41 | 10 | 27 | 0 | 2 | 1 | 0 | 1 | 173 | 257 | -84 | 41 | 7 | 28 | 0 | 2 | 2 | 0 | 2 | 138 | 263 | -125 | 48 | 311 | 583 | 894 | 1 | 0 | 52 | 115 | 140 | 5 | 1804 | 461 | 648 | 681 | 27 | 2690 | 846 | 696 | 1225 | 233 | 91 | 39.06% | 319 | 174 | 45.45% | 12 | 403 | 1087 | 37.07% | 504 | 1293 | 38.98% | 701 | 1777 | 39.45% | 1511 | 815 | 1971 | 828 | 1458 | 644 |
2022 | 82 | 26 | 49 | 0 | 2 | 5 | 0 | 0 | 387 | 524 | -137 | 41 | 14 | 24 | 0 | 1 | 2 | 0 | 0 | 191 | 259 | -68 | 41 | 12 | 25 | 0 | 1 | 3 | 0 | 0 | 196 | 265 | -69 | 61 | 387 | 703 | 1090 | 1 | 0 | 82 | 155 | 148 | 2 | 2132 | 616 | 725 | 789 | 2 | 2877 | 942 | 648 | 1231 | 255 | 92 | 36.08% | 297 | 176 | 40.74% | 10 | 539 | 1167 | 46.19% | 541 | 1341 | 40.34% | 791 | 1869 | 42.32% | 1616 | 918 | 1904 | 766 | 1404 | 666 |
Total Regular Season | 246 | 55 | 165 | 0 | 9 | 12 | 0 | 5 | 1038 | 1615 | -577 | 123 | 32 | 79 | 0 | 5 | 6 | 0 | 1 | 544 | 793 | -249 | 123 | 23 | 86 | 0 | 4 | 6 | 0 | 4 | 494 | 822 | -328 | 145 | 1038 | 1922 | 2960 | 4 | 0 | 196 | 410 | 423 | 15 | 5792 | 1576 | 2021 | 2167 | 55 | 8646 | 2813 | 2082 | 3575 | 702 | 268 | 38.18% | 953 | 556 | 41.66% | 33 | 1285 | 3191 | 40.27% | 1595 | 4042 | 39.46% | 2218 | 5542 | 40.02% | 4588 | 2542 | 5959 | 2400 | 4255 | 1919 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Total Playoff | 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 | 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 |
# | 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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