San Diego Gulls | |
GP: 5 | W: 4 | L: 1 GF: 18 | GA: 14 | PP%: 25.00% | PK%: 79.31% GM : Matt Nielson | Morale : 50 | Team Overall : 62 Next Games #59 vs Texas Stars |
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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 | Adam Erne | X | X | 100.00 | 75 | 63 | 84 | 62 | 83 | 66 | 82 | 60 | 57 | 70 | 63 | 73 | 57 | 66 | 59 | 0 | 50 | 67 | 0 | 28 | 1 | 975,000$ | |||
2 | Andy Andreoff | X | 100.00 | 56 | 59 | 64 | 62 | 67 | 67 | 65 | 64 | 69 | 59 | 67 | 57 | 54 | 72 | 63 | 0 | 50 | 63 | 0 | 32 | 1 | 925,000$ | ||||
3 | Jansen Harkins | X | 100.00 | 61 | 54 | 70 | 59 | 67 | 62 | 63 | 61 | 64 | 63 | 63 | 66 | 54 | 61 | 57 | 0 | 50 | 63 | 0 | 26 | 2 | 975,000$ | ||||
4 | Laurent Dauphin | X | 100.00 | 57 | 51 | 70 | 63 | 65 | 62 | 62 | 58 | 62 | 61 | 59 | 62 | 54 | 63 | 59 | 0 | 50 | 61 | 0 | 28 | 1 | 990,000$ | ||||
5 | Cole Bardreau | X | X | 100.00 | 55 | 59 | 65 | 60 | 62 | 67 | 65 | 59 | 70 | 57 | 60 | 59 | 54 | 69 | 61 | 0 | 50 | 60 | 0 | 30 | 2 | 750,000$ | |||
6 | Andrew Poturalski | X | 100.00 | 55 | 58 | 67 | 60 | 59 | 61 | 60 | 61 | 70 | 60 | 58 | 63 | 60 | 68 | 60 | 0 | 50 | 60 | 0 | 29 | 2 | 900,000$ | ||||
7 | Morgan Klimchuk | X | 100.00 | 60 | 35 | 78 | 66 | 68 | 63 | 60 | 58 | 40 | 58 | 58 | 60 | 50 | 58 | 52 | 0 | 50 | 60 | 0 | 28 | 1 | 975,000$ | ||||
8 | Robert Hagg | X | 100.00 | 78 | 40 | 74 | 60 | 83 | 72 | 75 | 57 | 40 | 72 | 59 | 82 | 54 | 65 | 59 | 0 | 50 | 69 | 0 | 28 | 2 | 950,000$ | ||||
9 | Ben Harpur | X | 100.00 | 66 | 65 | 81 | 58 | 84 | 65 | 65 | 56 | 40 | 66 | 57 | 72 | 54 | 62 | 58 | 0 | 50 | 64 | 0 | 28 | 2 | 950,000$ | ||||
10 | Joe Hicketts | X | 100.00 | 56 | 58 | 63 | 63 | 56 | 68 | 66 | 62 | 40 | 62 | 56 | 60 | 54 | 64 | 58 | 0 | 50 | 61 | 0 | 27 | 2 | 950,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 62 | 54 | 72 | 61 | 69 | 65 | 66 | 60 | 55 | 63 | 60 | 65 | 55 | 65 | 59 | 0 | 50 | 63 |
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 | Tyler Parks | 100.00 | 57 | 60 | 60 | 77 | 66 | 55 | 66 | 59 | 57 | 57 | 59 | 73 | 63 | 0 | 50 | 61 | 0 | 31 | 2 | 950,000$ | |
2 | Andrew Hammond | 100.00 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 0 | 50 | 50 | 0 | 35 | 1 | 950,000$ | |
Scratches | |||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 54 | 55 | 55 | 64 | 58 | 53 | 58 | 55 | 54 | 54 | 55 | 62 | 57 | 0 | 50 | 56 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Cole Bardreau | San Diego Gulls (ANA) | C/RW | 5 | 1 | 5 | 6 | 3 | 4 | 0 | 12 | 19 | 21 | 5 | 20 | 4.76% | 0 | 87 | 17.56 | 0 | 2 | 2 | 6 | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 1.37 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 |
2 | Andrew Poturalski | San Diego Gulls (ANA) | C | 5 | 1 | 3 | 4 | 1 | 2 | 0 | 2 | 11 | 15 | 4 | 7 | 6.67% | 0 | 71 | 14.36 | 0 | 1 | 1 | 5 | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 50.00% | 12 | 0 | 0 | 0 | 0 | 1.11 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
3 | Morgan Klimchuk | San Diego Gulls (ANA) | LW | 5 | 2 | 1 | 3 | 2 | 6 | 0 | 7 | 13 | 15 | 4 | 15 | 13.33% | 4 | 77 | 15.45 | 0 | 0 | 0 | 2 | 15 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
Team Total or Average | 15 | 4 | 9 | 13 | 6 | 12 | 0 | 21 | 43 | 51 | 13 | 42 | 7.84% | 4 | 236 | 15.79 | 0 | 3 | 3 | 13 | 44 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 52.63% | 19 | 0 | 0 | 0 | 0 | 1.10 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 3 |
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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Erne | San Diego Gulls (ANA) | LW/RW | 28 | 1995-04-20 | No | 212 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 975,000$ | 487,500$ | 0$ | 0$ | No | Link | |||||||||
Andrew Hammond | San Diego Gulls (ANA) | G | 35 | 1988-02-11 | No | 215 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 950,000$ | 475,000$ | 0$ | 0$ | No | Link | |||||||||
Andrew Poturalski | San Diego Gulls (ANA) | C | 29 | 1994-01-14 | No | 183 Lbs | 5 ft10 | No | No | No | No | 2 | Pro & Farm | 900,000$ | 450,000$ | 0$ | 0$ | No | 900,000$ | Link | ||||||||
Andy Andreoff | San Diego Gulls (ANA) | C | 32 | 1991-05-17 | No | 208 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 925,000$ | 462,500$ | 0$ | 0$ | No | Link | |||||||||
Ben Harpur | San Diego Gulls (ANA) | D | 28 | 1995-01-12 | No | 231 Lbs | 6 ft6 | No | No | No | No | 2 | Pro & Farm | 950,000$ | 475,000$ | 0$ | 0$ | No | 950,000$ | Link | ||||||||
Cole Bardreau | San Diego Gulls (ANA) | C/RW | 30 | 1993-07-22 | No | 186 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 750,000$ | 375,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
Jansen Harkins | San Diego Gulls (ANA) | C | 26 | 1997-05-23 | No | 197 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 975,000$ | 487,500$ | 0$ | 0$ | No | 975,000$ | Link | ||||||||
Joe Hicketts | San Diego Gulls (ANA) | D | 27 | 1996-05-04 | No | 176 Lbs | 5 ft8 | No | No | No | No | 2 | Pro & Farm | 950,000$ | 475,000$ | 0$ | 0$ | No | 950,000$ | Link | ||||||||
Laurent Dauphin | San Diego Gulls (ANA) | C | 28 | 1995-03-27 | No | 186 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 990,000$ | 495,000$ | 0$ | 0$ | No | Link | |||||||||
Morgan Klimchuk | San Diego Gulls (ANA) | LW | 28 | 1995-03-01 | No | 185 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 975,000$ | 487,500$ | 0$ | 0$ | No | Link | |||||||||
Robert Hagg | San Diego Gulls (ANA) | D | 28 | 1995-02-08 | No | 210 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 950,000$ | 475,000$ | 0$ | 0$ | No | 950,000$ | Link | ||||||||
Tyler Parks | San Diego Gulls (ANA) | G | 31 | 1992-05-09 | No | 198 Lbs | 6 ft6 | No | No | No | No | 2 | Pro & Farm | 950,000$ | 475,000$ | 0$ | 0$ | No | 950,000$ | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
12 | 29.17 | 199 Lbs | 6 ft1 | 1.58 | 936,667$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Cole Bardreau | 35 | 1 | 2 | 2 | ||
2 | Morgan Klimchuk | Andrew Poturalski | 30 | 1 | 2 | 2 | |
3 | 25 | 1 | 2 | 2 | |||
4 | Andrew Poturalski | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
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 | Cole Bardreau | 60 | 1 | 2 | 2 | ||
2 | Morgan Klimchuk | Andrew Poturalski | 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 |
Cole Bardreau |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Cole Bardreau |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, Morgan Klimchuk, Cole Bardreau | , Morgan Klimchuk | Cole Bardreau |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , |
Penalty Shots |
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, , , , Morgan Klimchuk |
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 | Iowa Wild | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 14 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 8 | 0.800 | 18 | 35 | 53 | 0 | 0 | 8 | 7 | 3 | 0 | 170 | 60 | 61 | 49 | 0 | 125 | 48 | 58 | 97 | 20 | 5 | 25.00% | 29 | 6 | 79.31% | 0 | 76 | 189 | 40.21% | 69 | 166 | 41.57% | 33 | 74 | 44.59% | 99 | 66 | 138 | 40 | 61 | 27 |
Total | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 14 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 8 | 0.800 | 18 | 35 | 53 | 0 | 0 | 8 | 7 | 3 | 0 | 170 | 60 | 61 | 49 | 0 | 125 | 48 | 58 | 97 | 20 | 5 | 25.00% | 29 | 6 | 79.31% | 0 | 76 | 189 | 40.21% | 69 | 166 | 41.57% | 33 | 74 | 44.59% | 99 | 66 | 138 | 40 | 61 | 27 | |
_Since Last GM Reset | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 14 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 8 | 0.800 | 18 | 35 | 53 | 0 | 0 | 8 | 7 | 3 | 0 | 170 | 60 | 61 | 49 | 0 | 125 | 48 | 58 | 97 | 20 | 5 | 25.00% | 29 | 6 | 79.31% | 0 | 76 | 189 | 40.21% | 69 | 166 | 41.57% | 33 | 74 | 44.59% | 99 | 66 | 138 | 40 | 61 | 27 | |
_Vs Conference | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 14 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 8 | 0.800 | 18 | 35 | 53 | 0 | 0 | 8 | 7 | 3 | 0 | 170 | 60 | 61 | 49 | 0 | 125 | 48 | 58 | 97 | 20 | 5 | 25.00% | 29 | 6 | 79.31% | 0 | 76 | 189 | 40.21% | 69 | 166 | 41.57% | 33 | 74 | 44.59% | 99 | 66 | 138 | 40 | 61 | 27 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
5 | 8 | W4 | 18 | 35 | 53 | 170 | 125 | 48 | 58 | 97 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 4 | 1 | 0 | 0 | 0 | 0 | 18 | 14 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 5 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 2 | 1 | 0 | 0 | 0 | 0 | 9 | 9 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
4 | 1 | 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 |
---|---|---|---|---|---|---|
20 | 5 | 25.00% | 29 | 6 | 79.31% | 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 |
---|---|---|---|---|---|---|---|
60 | 61 | 49 | 0 | 8 | 7 | 3 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
76 | 189 | 40.21% | 69 | 166 | 41.57% | 33 | 74 | 44.59% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
99 | 66 | 138 | 40 | 61 | 27 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
2 | 5 | San Diego Gulls | 0 | Iowa Wild | 5 | AL | BoxScore | |||
4 | 13 | San Diego Gulls | 4 | Iowa Wild | 2 | AW | BoxScore | |||
6 | 21 | Iowa Wild | 3 | San Diego Gulls | 6 | BW | BoxScore | |||
8 | 29 | Iowa Wild | 2 | San Diego Gulls | 3 | BW | BoxScore | |||
10 | 37 | San Diego Gulls | 5 | Iowa Wild | 2 | AW | BoxScore | |||
16 | 59 | San Diego Gulls | - | Texas Stars | - | |||||
18 | 63 | San Diego Gulls | - | Texas Stars | - | |||||
20 | 67 | Texas Stars | - | San Diego Gulls | - | |||||
22 | 71 | Texas Stars | - | San Diego Gulls | - | |||||
24 | 75 | San Diego Gulls | - | Texas Stars | - | |||||
26 | 79 | Texas Stars | - | San Diego Gulls | - | |||||
28 | 83 | San Diego Gulls | - | Texas Stars | - |
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 |
39 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
0$ | 1,124,000$ | 866,500$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Andrew Poturalski | 82 | 34 | 44 | 78 | -22 | 71 | 143 | 201 | 356 | 9.55% | 23 | 1461 | 17.82 | 11 | 11 | 22 | 72 | 0 | 0 | 0 | 0 | 5 | 0 | 60.08% | 1 | 1.07 | 2 | 5 |
2 | Matt Irwin | 60 | 10 | 34 | 44 | -25 | 66 | 142 | 131 | 107 | 9.35% | 118 | 1257 | 20.95 | 6 | 16 | 22 | 67 | 0 | 0 | 0 | 2 | 1 | 0 | 0% | 0 | 0.70 | 0 | 0 |
3 | Cole Bardreau | 43 | 18 | 25 | 43 | 10 | 47 | 73 | 84 | 158 | 11.39% | 8 | 829 | 19.30 | 4 | 6 | 10 | 32 | 0 | 0 | 0 | 1 | 3 | 1 | 61.17% | 1 | 1.04 | 0 | 0 |
4 | Morgan Klimchuk | 82 | 18 | 21 | 39 | -14 | 22 | 55 | 86 | 179 | 10.06% | 17 | 838 | 10.23 | 4 | 8 | 12 | 40 | 0 | 0 | 0 | 1 | 1 | 1 | 46.58% | 0 | 0.93 | 3 | 3 |
5 | Andy Andreoff | 32 | 10 | 24 | 34 | -5 | 31 | 50 | 74 | 98 | 10.20% | 8 | 547 | 17.11 | 5 | 7 | 12 | 24 | 0 | 1 | 1 | 1 | 0 | 1 | 60.86% | 0 | 1.24 | 0 | 2 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Tyler Parks | 33 | 20 | 10 | 3 | 0.911 | 3.04 | 1991 | 4 | 0 | 101 | 1130 | 0 | 1 | 2 | 0.800 | 10 |
2 | Andrew Hammond | 5 | 1 | 3 | 0 | 0.869 | 7.18 | 259 | 2 | 0 | 31 | 237 | 0 | 0 | 0 | 0 | 0 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | 35 | 34 | 0 | 2 | 5 | 5 | 1 | 324 | 323 | 1 | 41 | 21 | 13 | 0 | 2 | 2 | 3 | 0 | 175 | 154 | 21 | 41 | 14 | 21 | 0 | 0 | 3 | 2 | 1 | 149 | 169 | -20 | 90 | 324 | 602 | 926 | 3 | 0 | 115 | 110 | 92 | 11 | 3337 | 1055 | 1166 | 1093 | 53 | 3225 | 914 | 875 | 1907 | 354 | 81 | 22.88% | 363 | 73 | 79.89% | 2 | 1610 | 3194 | 50.41% | 1498 | 3092 | 48.45% | 690 | 1432 | 48.18% | 1936 | 1377 | 2052 | 583 | 975 | 473 |
Total Regular Season | 82 | 35 | 34 | 0 | 2 | 5 | 5 | 1 | 324 | 323 | 1 | 41 | 21 | 13 | 0 | 2 | 2 | 3 | 0 | 175 | 154 | 21 | 41 | 14 | 21 | 0 | 0 | 3 | 2 | 1 | 149 | 169 | -20 | 90 | 324 | 602 | 926 | 3 | 0 | 115 | 110 | 92 | 11 | 3337 | 1055 | 1166 | 1093 | 53 | 3225 | 914 | 875 | 1907 | 354 | 81 | 22.88% | 363 | 73 | 79.89% | 2 | 1610 | 3194 | 50.41% | 1498 | 3092 | 48.45% | 690 | 1432 | 48.18% | 1936 | 1377 | 2052 | 583 | 975 | 473 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2022 | 24 | 14 | 10 | 0 | 0 | 0 | 0 | 0 | 83 | 76 | 7 | 12 | 8 | 4 | 0 | 0 | 0 | 0 | 0 | 39 | 33 | 6 | 12 | 6 | 6 | 0 | 0 | 0 | 0 | 0 | 44 | 43 | 1 | 28 | 83 | 150 | 233 | 0 | 0 | 27 | 28 | 25 | 3 | 780 | 257 | 259 | 244 | 20 | 912 | 275 | 301 | 557 | 105 | 19 | 18.10% | 105 | 18 | 82.86% | 0 | 478 | 852 | 56.10% | 510 | 914 | 55.80% | 223 | 408 | 54.66% | 621 | 439 | 560 | 170 | 298 | 150 |
2023 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 14 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 8 | 18 | 35 | 53 | 0 | 0 | 8 | 7 | 3 | 0 | 170 | 60 | 61 | 49 | 0 | 125 | 48 | 58 | 97 | 20 | 5 | 25.00% | 29 | 6 | 79.31% | 0 | 76 | 189 | 40.21% | 69 | 166 | 41.57% | 33 | 74 | 44.59% | 99 | 66 | 138 | 40 | 61 | 27 |
Total Playoff | 29 | 18 | 11 | 0 | 0 | 0 | 0 | 0 | 101 | 90 | 11 | 14 | 10 | 4 | 0 | 0 | 0 | 0 | 0 | 48 | 38 | 10 | 15 | 8 | 7 | 0 | 0 | 0 | 0 | 0 | 53 | 52 | 1 | 36 | 101 | 185 | 286 | 0 | 0 | 35 | 35 | 28 | 3 | 950 | 317 | 320 | 293 | 20 | 1037 | 323 | 359 | 654 | 125 | 24 | 19.20% | 134 | 24 | 82.09% | 0 | 554 | 1041 | 53.22% | 579 | 1080 | 53.61% | 256 | 482 | 53.11% | 721 | 505 | 698 | 210 | 360 | 178 |
# | 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 | Jansen Harkins | 24 | 13 | 20 | 33 | 15 | 17 | 26 | 79 | 87 | 14.94% | 11 | 436 | 18.19 | 4 | 6 | 10 | 22 | 0 | 0 | 0 | 0 | 3 | 0 | 58.67% | 0 | 1.51 | 0 | 0 |
2 | Andrew Poturalski | 29 | 9 | 20 | 29 | 16 | 6 | 34 | 62 | 76 | 11.84% | 3 | 562 | 19.40 | 3 | 8 | 11 | 25 | 0 | 0 | 0 | 4 | 2 | 1 | 57.50% | 0 | 1.03 | 0 | 0 |
3 | Drake Caggiula | 24 | 9 | 17 | 26 | 1 | 12 | 27 | 34 | 90 | 10.00% | 9 | 419 | 17.46 | 3 | 4 | 7 | 31 | 0 | 0 | 0 | 1 | 1 | 2 | 51.85% | 1 | 1.24 | 0 | 0 |
4 | Steven Lorentz | 24 | 10 | 13 | 23 | 14 | 14 | 44 | 36 | 82 | 12.20% | 6 | 513 | 21.42 | 4 | 4 | 8 | 27 | 0 | 0 | 0 | 0 | 3 | 0 | 63.27% | 0 | 0.89 | 0 | 0 |
5 | Matthew Highmore | 24 | 9 | 13 | 22 | 1 | 8 | 37 | 74 | 86 | 10.47% | 10 | 493 | 20.58 | 1 | 3 | 4 | 18 | 0 | 0 | 0 | 1 | 0 | 1 | 51.18% | 0 | 0.89 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Andrew Hammond | 11 | 7 | 2 | 2 | 0.915 | 2.68 | 693 | 0 | 0 | 31 | 366 | 0 | 0 | 0 | 0 | 0 |
2 | Joey Daccord | 5 | 3 | 2 | 0 | 0.925 | 3.02 | 298 | 0 | 0 | 15 | 199 | 0 | 0 | 0 | 0 | 0 |