Palm Springs Navigators | |
GP: 6 | W: 4 | L: 2 GF: 32 | GA: 28 | PP%: 27.59% | PK%: 76.67% GM : Tom Jervis | Morale : 50 | Team Overall : 60 Next Games #60 vs Henderson Silver Knights |
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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 | Jay Beagle | X | 100.00 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 0 | 50 | 54 | 0 | 37 | 1 | 900,000$ | ||||
2 | Tyler Bozak | X | 100.00 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 0 | 50 | 54 | 0 | 37 | 1 | 900,000$ | ||||
3 | Dylan Coghlan | X | 100.00 | 63 | 43 | 85 | 63 | 79 | 63 | 63 | 56 | 40 | 69 | 55 | 72 | 54 | 58 | 58 | 0 | 50 | 64 | 0 | 25 | 2 | 950,000$ | ||||
4 | Alex Vlasic | X | 100.00 | 55 | 53 | 68 | 58 | 68 | 66 | 63 | 57 | 40 | 59 | 55 | 64 | 54 | 55 | 53 | 0 | 50 | 59 | 0 | 22 | 2 | 925,000$ | ||||
5 | Kris Russell | X | 100.00 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 0 | 50 | 54 | 0 | 36 | 1 | 900,000$ | ||||
6 | Dean Kukan | X | 100.00 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 54 | 0 | 50 | 54 | 0 | 30 | 1 | 900,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 56 | 52 | 62 | 56 | 61 | 58 | 57 | 55 | 49 | 57 | 54 | 59 | 54 | 55 | 55 | 0 | 50 | 57 |
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 | Brian Elliott | 100.00 | 68 | 68 | 70 | 81 | 79 | 73 | 78 | 68 | 81 | 74 | 74 | 82 | 68 | 0 | 50 | 74 | 0 | 38 | 1 | 950,000$ | |
2 | Malcolm Subban | 100.00 | 62 | 65 | 66 | 67 | 68 | 59 | 67 | 65 | 57 | 60 | 61 | 71 | 61 | 0 | 50 | 64 | 0 | 29 | 1 | 900,000$ | |
3 | Anton Khudobin | 100.00 | 59 | 60 | 60 | 60 | 66 | 55 | 66 | 60 | 57 | 58 | 60 | 84 | 70 | 0 | 50 | 61 | 0 | 37 | 1 | 950,000$ | |
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 63 | 64 | 65 | 69 | 71 | 62 | 70 | 64 | 65 | 64 | 65 | 79 | 66 | 0 | 50 | 66 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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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 | 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 |
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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 | 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 | Waiver Possible | 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 Vlasic | Palm Springs Navigators (SEA) | D | 22 | 2001-06-05 | No | 199 Lbs | 6 ft6 | No | No | No | No | 2 | Pro & Farm | 925,000$ | 462,500$ | 0$ | 0$ | No | 925,000$ | Link | ||||||||
Anton Khudobin | Palm Springs Navigators (SEA) | G | 37 | 1986-05-07 | No | 210 Lbs | 5 ft11 | No | No | No | No | 1 | Pro & Farm | 950,000$ | 475,000$ | 0$ | 0$ | No | Link | |||||||||
Brian Elliott | Palm Springs Navigators (SEA) | G | 38 | 1985-04-09 | No | 221 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 950,000$ | 475,000$ | 0$ | 0$ | No | Link | |||||||||
Dean Kukan | Palm Springs Navigators (SEA) | D | 30 | 1993-07-08 | No | 190 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 900,000$ | 450,000$ | 0$ | 0$ | No | Link | |||||||||
Dylan Coghlan | Palm Springs Navigators (SEA) | D | 25 | 1998-02-19 | No | 208 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 950,000$ | 475,000$ | 0$ | 0$ | No | 950,000$ | Link | ||||||||
Jay Beagle | Palm Springs Navigators (SEA) | C | 37 | 1985-10-16 | No | 210 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 900,000$ | 450,000$ | 0$ | 0$ | No | Link | |||||||||
Kris Russell | Palm Springs Navigators (SEA) | D | 36 | 1987-05-02 | No | 170 Lbs | 5 ft10 | No | No | No | No | 1 | Pro & Farm | 900,000$ | 450,000$ | 0$ | 0$ | No | Link | |||||||||
Malcolm Subban | Palm Springs Navigators (SEA) | G | 29 | 1993-12-21 | No | 216 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 900,000$ | 450,000$ | 0$ | 0$ | No | Link | |||||||||
Tyler Bozak | Palm Springs Navigators (SEA) | C | 37 | 1986-03-19 | No | 187 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 900,000$ | 450,000$ | 0$ | 0$ | No | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
9 | 32.33 | 201 Lbs | 6 ft2 | 1.22 | 919,444$ |
5 vs 5 Forward | |||||||
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Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 35 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 25 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
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Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 35 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 25 | 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 | ||||||
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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 | ||||
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Left Wing | Center | Right Wing | Defense | Defense |
Extra Forwards | ||
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Normal | PowerPlay | Penalty Kill |
, , | , |
Extra Defensemen | ||
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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 | Flint Michigan Tropics | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 32 | 28 | 4 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 14 | 5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 14 | -1 | 8 | 0.667 | 32 | 58 | 90 | 0 | 0 | 16 | 8 | 6 | 2 | 306 | 100 | 109 | 79 | 18 | 350 | 84 | 63 | 167 | 29 | 8 | 27.59% | 30 | 7 | 76.67% | 0 | 125 | 246 | 50.81% | 144 | 299 | 48.16% | 58 | 125 | 46.40% | 150 | 109 | 158 | 43 | 72 | 35 |
Total | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 32 | 28 | 4 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 14 | 5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 14 | -1 | 8 | 0.667 | 32 | 58 | 90 | 0 | 0 | 16 | 8 | 6 | 2 | 306 | 100 | 109 | 79 | 18 | 350 | 84 | 63 | 167 | 29 | 8 | 27.59% | 30 | 7 | 76.67% | 0 | 125 | 246 | 50.81% | 144 | 299 | 48.16% | 58 | 125 | 46.40% | 150 | 109 | 158 | 43 | 72 | 35 | |
_Since Last GM Reset | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 32 | 28 | 4 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 14 | 5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 14 | -1 | 8 | 0.667 | 32 | 58 | 90 | 0 | 0 | 16 | 8 | 6 | 2 | 306 | 100 | 109 | 79 | 18 | 350 | 84 | 63 | 167 | 29 | 8 | 27.59% | 30 | 7 | 76.67% | 0 | 125 | 246 | 50.81% | 144 | 299 | 48.16% | 58 | 125 | 46.40% | 150 | 109 | 158 | 43 | 72 | 35 | |
_Vs Conference | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 32 | 28 | 4 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 14 | 5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 14 | -1 | 8 | 0.667 | 32 | 58 | 90 | 0 | 0 | 16 | 8 | 6 | 2 | 306 | 100 | 109 | 79 | 18 | 350 | 84 | 63 | 167 | 29 | 8 | 27.59% | 30 | 7 | 76.67% | 0 | 125 | 246 | 50.81% | 144 | 299 | 48.16% | 58 | 125 | 46.40% | 150 | 109 | 158 | 43 | 72 | 35 | |
_Vs Division | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 28 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 14 | 5 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 14 | -1 | 0 | 0.000 | 32 | 58 | 90 | 0 | 0 | 16 | 8 | 6 | 2 | 306 | 100 | 109 | 79 | 18 | 350 | 84 | 63 | 167 | 29 | 8 | 27.59% | 30 | 7 | 76.67% | 0 | 125 | 246 | 50.81% | 144 | 299 | 48.16% | 58 | 125 | 46.40% | 150 | 109 | 158 | 43 | 72 | 35 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
6 | 8 | W1 | 32 | 58 | 90 | 306 | 350 | 84 | 63 | 167 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
6 | 4 | 2 | 0 | 0 | 0 | 0 | 32 | 28 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 3 | 0 | 0 | 0 | 0 | 0 | 19 | 14 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 1 | 2 | 0 | 0 | 0 | 0 | 13 | 14 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
4 | 2 | 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 |
---|---|---|---|---|---|---|
29 | 8 | 27.59% | 30 | 7 | 76.67% | 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 |
---|---|---|---|---|---|---|---|
100 | 109 | 79 | 18 | 16 | 8 | 6 | 2 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
125 | 246 | 50.81% | 144 | 299 | 48.16% | 58 | 125 | 46.40% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
150 | 109 | 158 | 43 | 72 | 35 |
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 | 0 | 0 |
Attendance PCT | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
38 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
0$ | 827,500$ | 827,500$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 14 | 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 |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2023 | 82 | 32 | 34 | 0 | 8 | 2 | 3 | 3 | 327 | 323 | 4 | 41 | 19 | 14 | 0 | 5 | 0 | 1 | 2 | 159 | 146 | 13 | 41 | 13 | 20 | 0 | 3 | 2 | 2 | 1 | 168 | 177 | -9 | 91 | 327 | 622 | 949 | 2 | 1 | 127 | 99 | 90 | 13 | 3626 | 1152 | 1191 | 1234 | 67 | 3375 | 989 | 881 | 2083 | 361 | 65 | 18.01% | 378 | 89 | 76.46% | 5 | 1526 | 3334 | 45.77% | 1514 | 3319 | 45.62% | 607 | 1375 | 44.15% | 1808 | 1271 | 2194 | 606 | 967 | 451 |
Total Regular Season | 82 | 32 | 34 | 0 | 8 | 2 | 3 | 3 | 327 | 323 | 4 | 41 | 19 | 14 | 0 | 5 | 0 | 1 | 2 | 159 | 146 | 13 | 41 | 13 | 20 | 0 | 3 | 2 | 2 | 1 | 168 | 177 | -9 | 91 | 327 | 622 | 949 | 2 | 1 | 127 | 99 | 90 | 13 | 3626 | 1152 | 1191 | 1234 | 67 | 3375 | 989 | 881 | 2083 | 361 | 65 | 18.01% | 378 | 89 | 76.46% | 5 | 1526 | 3334 | 45.77% | 1514 | 3319 | 45.62% | 607 | 1375 | 44.15% | 1808 | 1271 | 2194 | 606 | 967 | 451 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2022 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 31 | 28 | 3 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 10 | 1 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 20 | 18 | 2 | 6 | 31 | 60 | 91 | 0 | 0 | 12 | 10 | 9 | 0 | 320 | 115 | 92 | 97 | 16 | 282 | 83 | 49 | 217 | 36 | 8 | 22.22% | 20 | 4 | 80.00% | 0 | 124 | 281 | 44.13% | 126 | 270 | 46.67% | 56 | 133 | 42.11% | 160 | 114 | 188 | 54 | 84 | 38 |
2023 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 32 | 28 | 4 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 14 | 5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 14 | -1 | 8 | 32 | 58 | 90 | 0 | 0 | 16 | 8 | 6 | 2 | 306 | 100 | 109 | 79 | 18 | 350 | 84 | 63 | 167 | 29 | 8 | 27.59% | 30 | 7 | 76.67% | 0 | 125 | 246 | 50.81% | 144 | 299 | 48.16% | 58 | 125 | 46.40% | 150 | 109 | 158 | 43 | 72 | 35 |
Total Playoff | 13 | 7 | 6 | 0 | 0 | 0 | 0 | 0 | 63 | 56 | 7 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 30 | 24 | 6 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 33 | 32 | 1 | 14 | 63 | 118 | 181 | 0 | 0 | 28 | 18 | 15 | 2 | 626 | 215 | 201 | 176 | 34 | 632 | 167 | 112 | 384 | 65 | 16 | 24.62% | 50 | 11 | 78.00% | 0 | 249 | 527 | 47.25% | 270 | 569 | 47.45% | 114 | 258 | 44.19% | 310 | 224 | 346 | 97 | 156 | 74 |
# | 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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