San Diego Gulls | |
GP: 7 | W: 0 | L: 7 | OTL: 0 | P: 0 GF: 17 | GA: 51 | PP%: 20.00% | PK%: 0.00% GM : Gabriel Pavone | Morale : 60 | Team Overall : 67 |
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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 | John Beecher (R) | 0 | X | 100.00 | 75 | 63 | 79 | 42 | 87 | 76 | 84 | 58 | 76 | 56 | 61 | 70 | 64 | 60 | 69 | 0 | 60 | 73 | 0 | 22 | 2 | 775,000$ | ||||
2 | Angus Crookshank (R) | 0 | X | X | 100.00 | 65 | 61 | 80 | 43 | 80 | 78 | 81 | 59 | 42 | 54 | 60 | 60 | 63 | 60 | 65 | 0 | 60 | 69 | 0 | 23 | 1 | 775,000$ | |||
3 | Jack Studnicka | 0 | X | 100.00 | 65 | 62 | 82 | 48 | 81 | 74 | 79 | 54 | 61 | 53 | 52 | 67 | 55 | 75 | 67 | 0 | 60 | 69 | 0 | 24 | 3 | 975,000$ | ||||
4 | Jonas Rondbjerg | 0 | X | 100.00 | 63 | 57 | 83 | 48 | 84 | 74 | 78 | 53 | 42 | 54 | 51 | 65 | 54 | 62 | 64 | 0 | 60 | 67 | 0 | 24 | 3 | 825,000$ | ||||
5 | Dennis Gilbert | 0 | X | 100.00 | 62 | 66 | 78 | 41 | 88 | 69 | 78 | 59 | 41 | 61 | 58 | 63 | 61 | 76 | 69 | 0 | 60 | 75 | 0 | 26 | 2 | 850,000$ | ||||
6 | John Ludvig (R) | 0 | X | 100.00 | 63 | 73 | 70 | 44 | 87 | 73 | 80 | 56 | 42 | 55 | 58 | 61 | 61 | 60 | 64 | 0 | 60 | 72 | 0 | 23 | 1 | 775,000$ | ||||
7 | Ian Mitchell | 0 | X | 100.00 | 51 | 61 | 78 | 45 | 82 | 74 | 78 | 56 | 41 | 57 | 53 | 63 | 56 | 74 | 67 | 0 | 60 | 72 | 0 | 24 | 3 | 825,000$ | ||||
8 | Matthew Kessel | 0 | X | 100.00 | 54 | 55 | 82 | 44 | 85 | 73 | 79 | 54 | 40 | 59 | 53 | 66 | 56 | 61 | 66 | 0 | 60 | 72 | 0 | 23 | 2 | 850,000$ | ||||
9 | Brandt Clarke | 0 | X | 100.00 | 49 | 56 | 80 | 44 | 84 | 67 | 74 | 55 | 40 | 58 | 55 | 64 | 58 | 61 | 66 | 0 | 60 | 71 | 0 | 20 | 2 | 775,000$ | ||||
10 | Lucas Johansen | 0 | X | 100.00 | 50 | 56 | 84 | 48 | 78 | 70 | 76 | 52 | 41 | 52 | 52 | 63 | 55 | 62 | 63 | 0 | 60 | 69 | 0 | 25 | 2 | 800,000$ | ||||
11 | Casey Fitzgerald | 0 | X | 100.00 | 49 | 60 | 73 | 45 | 69 | 74 | 74 | 55 | 45 | 57 | 53 | 60 | 56 | 67 | 50 | 0 | 60 | 67 | 0 | 26 | 1 | 825,000$ | ||||
12 | Jett Woo | 0 | X | 100.00 | 48 | 68 | 69 | 43 | 68 | 73 | 73 | 57 | 45 | 59 | 55 | 57 | 58 | 64 | 52 | 0 | 60 | 67 | 0 | 23 | 2 | 800,000$ | ||||
Scratches | ||||||||||||||||||||||||||||||
1 | Jake Leschyshyn | 0 | X | 100.00 | 57 | 58 | 84 | 49 | 84 | 69 | 75 | 53 | 52 | 52 | 51 | 65 | 54 | 62 | 64 | 0 | 60 | 66 | 0 | 24 | 3 | 825,000$ | ||||
2 | Adam Raska | 0 | X | 100.00 | 51 | 54 | 85 | 48 | 79 | 80 | 80 | 54 | 40 | 52 | 52 | 60 | 55 | 62 | 62 | 0 | 60 | 65 | 0 | 22 | 2 | 850,000$ | ||||
3 | Michal Teply | 0 | X | 100.00 | 50 | 51 | 79 | 43 | 70 | 75 | 75 | 58 | 45 | 57 | 58 | 58 | 61 | 63 | 52 | 0 | 60 | 64 | 0 | 22 | 4 | 875,000$ | ||||
4 | Nikita Pavlychev (R) | 0 | X | X | X | 100.00 | 41 | 61 | 73 | 47 | 61 | 66 | 66 | 53 | 45 | 51 | 55 | 58 | 58 | 67 | 48 | 0 | 60 | 60 | 0 | 26 | 1 | 775,000$ | ||
5 | Curtis Hall (R) | 0 | X | 100.00 | 40 | 54 | 78 | 49 | 60 | 65 | 65 | 52 | 58 | 51 | 52 | 58 | 55 | 64 | 47 | 0 | 60 | 59 | 0 | 23 | 2 | 775,000$ | ||||
6 | Nikita Okhotiuk | 0 | X | 100.00 | 63 | 67 | 78 | 43 | 83 | 77 | 82 | 56 | 40 | 61 | 53 | 64 | 56 | 62 | 74 | 0 | 60 | 75 | 0 | 22 | 1 | 850,000$ | ||||
7 | Michael Karow (R) | 0 | X | 100.00 | 49 | 58 | 75 | 46 | 69 | 74 | 74 | 55 | 45 | 56 | 53 | 59 | 56 | 66 | 50 | 0 | 60 | 67 | 0 | 24 | 1 | 775,000$ | ||||
8 | Markus Niemelainen | 0 | X | 100.00 | 42 | 56 | 76 | 49 | 62 | 67 | 67 | 51 | 45 | 51 | 51 | 58 | 54 | 66 | 47 | 0 | 60 | 62 | 0 | 25 | 2 | 880,000$ | ||||
9 | Nicolas Beaudin | 0 | X | 100.00 | 39 | 54 | 78 | 49 | 59 | 64 | 64 | 51 | 45 | 52 | 50 | 58 | 53 | 65 | 47 | 0 | 60 | 61 | 0 | 23 | 3 | 975,000$ | ||||
TEAM AVERAGE | 100.00 | 54 | 60 | 78 | 46 | 76 | 72 | 75 | 55 | 46 | 55 | 54 | 62 | 57 | 65 | 60 | 0 | 60 | 68 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
1 | Arvid Holm | 0 | 100.00 | 56 | 63 | 72 | 24 | 29 | 55 | 59 | 60 | 62 | 36 | 40 | 64 | 63 | 0 | 60 | 57 | 0 | 24 | 2 | 850,000$ | |
TEAM AVERAGE | 100.00 | 56 | 63 | 72 | 24 | 29 | 55 | 59 | 60 | 62 | 36 | 40 | 64 | 63 | 0 | 60 | 57 |
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 | Dennis Gilbert | San Diego Gulls (ANA) | D | 4 | 3 | 2 | 5 | 7 | 2 | 0 | 6 | 1 | 7 | 4 | 5 | 42.86% | 6 | 79 | 19.86 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 1.26 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2 | Jonas Rondbjerg | San Diego Gulls (ANA) | C | 7 | 3 | 2 | 5 | -5 | 0 | 0 | 12 | 15 | 30 | 6 | 32 | 10.00% | 20 | 80 | 11.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 1.24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 11 | 6 | 4 | 10 | 2 | 2 | 0 | 18 | 16 | 37 | 10 | 37 | 16.22% | 26 | 160 | 14.58 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 40.00% | 10 | 0 | 0 | 0 | 0 | 1.25 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 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 | 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 | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
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Adam Raska | San Diego Gulls (ANA) | RW | 22 | 2001-09-25 | No | 178 Lbs | 5 ft10 | No | No | Trade | 2024-09-09 | No | No | 2 | False | False | Pro & Farm | 850,000$ | 0$ | 0$ | No | 850,000$ | - | - | - | - | - | - | - | - | 850,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | |
Angus Crookshank | San Diego Gulls (ANA) | C/LW | 23 | 1999-10-02 | Yes | 181 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Arvid Holm | San Diego Gulls (ANA) | G | 24 | 1998-11-03 | No | 205 Lbs | 6 ft6 | No | No | Trade | 2024-09-09 | No | No | 2 | False | False | Pro & Farm | 850,000$ | 0$ | 0$ | No | 850,000$ | - | - | - | - | - | - | - | - | 850,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | |
Brandt Clarke | San Diego Gulls (ANA) | D | 20 | 2003-02-09 | No | 200 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Casey Fitzgerald | San Diego Gulls (ANA) | D | 26 | 1997-02-25 | No | 181 Lbs | 5 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 825,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | NHL Link | ||
Curtis Hall | San Diego Gulls (ANA) | C | 23 | 2000-04-26 | Yes | 210 Lbs | 6 ft5 | No | No | Free Agent | No | No | 2 | 2024-07-14 | False | False | Pro & Farm | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Dennis Gilbert | San Diego Gulls (ANA) | D | 26 | 1996-10-30 | No | 216 Lbs | 6 ft2 | No | No | Trade | 2024-09-09 | No | No | 2 | False | False | Pro & Farm | 850,000$ | 0$ | 0$ | No | 850,000$ | - | - | - | - | - | - | - | - | 850,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | |
Ian Mitchell | San Diego Gulls (ANA) | D | 24 | 1999-01-18 | No | 192 Lbs | 6 ft0 | No | No | Free Agent | No | No | 3 | 2024-07-14 | False | False | Pro & Farm | 825,000$ | 0$ | 0$ | No | 825,000$ | 825,000$ | - | - | - | - | - | - | - | 825,000$ | 825,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | NHL Link | |
Jack Studnicka | San Diego Gulls (ANA) | C | 24 | 1999-02-18 | No | 187 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 975,000$ | 0$ | 0$ | No | 975,000$ | 975,000$ | - | - | - | - | - | - | - | 975,000$ | 975,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | NHL Link | ||
Jake Leschyshyn | San Diego Gulls (ANA) | C | 24 | 1999-03-10 | No | 198 Lbs | 5 ft11 | No | No | Trade | 2024-09-09 | No | No | 3 | False | False | Pro & Farm | 825,000$ | 0$ | 0$ | No | 825,000$ | 825,000$ | - | - | - | - | - | - | - | 825,000$ | 825,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | NHL Link | |
Jett Woo | San Diego Gulls (ANA) | D | 23 | 2000-07-27 | No | 199 Lbs | 6 ft0 | No | No | Free Agent | No | No | 2 | 2024-07-14 | False | False | Pro & Farm | 800,000$ | 0$ | 0$ | No | 800,000$ | - | - | - | - | - | - | - | - | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | |
John Beecher | San Diego Gulls (ANA) | C | 22 | 2001-04-05 | Yes | 216 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
John Ludvig | San Diego Gulls (ANA) | D | 23 | 2000-08-02 | Yes | 213 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jonas Rondbjerg | San Diego Gulls (ANA) | C | 24 | 1999-03-31 | No | 202 Lbs | 6 ft2 | No | No | Free Agent | No | No | 3 | 2024-07-14 | False | False | Pro & Farm | 825,000$ | 0$ | 0$ | No | 825,000$ | 825,000$ | - | - | - | - | - | - | - | 825,000$ | 825,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | NHL Link | |
Lucas Johansen | San Diego Gulls (ANA) | D | 25 | 1997-11-16 | No | 176 Lbs | 6 ft2 | No | No | Free Agent | No | No | 2 | 2024-07-14 | False | False | Pro & Farm | 800,000$ | 0$ | 0$ | No | 800,000$ | - | - | - | - | - | - | - | - | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | |
Markus Niemelainen | San Diego Gulls (ANA) | D | 25 | 1998-06-08 | No | 203 Lbs | 6 ft7 | No | No | Trade | 2024-09-09 | No | No | 2 | False | False | Pro & Farm | 880,000$ | 0$ | 0$ | No | 880,000$ | - | - | - | - | - | - | - | - | 880,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | NHL Link | |
Matthew Kessel | San Diego Gulls (ANA) | D | 23 | 2000-06-23 | No | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 850,000$ | 0$ | 0$ | No | 850,000$ | - | - | - | - | - | - | - | - | 850,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Michael Karow | San Diego Gulls (ANA) | D | 24 | 1998-12-18 | Yes | 209 Lbs | 6 ft2 | No | No | Trade | 2024-09-09 | No | No | 1 | False | False | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Michal Teply | San Diego Gulls (ANA) | LW | 22 | 2001-05-27 | No | 187 Lbs | 6 ft4 | No | No | Trade | 2024-09-09 | No | No | 4 | False | False | Pro & Farm | 875,000$ | 0$ | 0$ | No | 875,000$ | 875,000$ | 875,000$ | - | - | - | - | - | - | 875,000$ | 875,000$ | 875,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | NHL Link | |
Nicolas Beaudin | San Diego Gulls (ANA) | D | 23 | 1999-10-07 | No | 188 Lbs | 5 ft1 | No | No | Trade | 2024-09-09 | No | No | 3 | False | False | Pro & Farm | 975,000$ | 0$ | 0$ | No | 975,000$ | 975,000$ | - | - | - | - | - | - | - | 975,000$ | 975,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | NHL Link | |
Nikita Okhotiuk | San Diego Gulls (ANA) | D | 22 | 2000-12-04 | No | 195 Lbs | 6 ft1 | No | No | Trade | 2024-09-09 | No | No | 1 | False | False | Pro & Farm | 850,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
Nikita Pavlychev | San Diego Gulls (ANA) | C/LW/RW | 26 | 1997-03-23 | Yes | 201 Lbs | 6 ft8 | No | No | Trade | 2024-09-09 | No | No | 1 | False | False | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
22 | 23.55 | 197 Lbs | 6 ft1 | 2.05 | 830,909$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | Jonas Rondbjerg | 20 | 1 | 2 | 2 | ||
4 | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
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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 |
, Jonas Rondbjerg, | , Jonas Rondbjerg |
Extra Defensemen | ||
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Normal | PowerPlay | Penalty Kill |
, , | , |
Penalty Shots |
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, , , , |
Goalie |
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#1 : , #2 : |
Custom OT Lines Forwards |
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, , , , , , , , Jonas Rondbjerg, , |
Custom OT Lines Defensemen |
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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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | 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 | Bridgeport Islanders | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | -7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | -7 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 2 | 7 | 8 | 0 | 21 | 82 | 80 | 85 | 0 | 76 | 35 | 0 | 9 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 62 | 151 | 41.06% | 81 | 285 | 28.42% | 34 | 131 | 25.95% | 88 | 59 | 254 | 48 | 76 | 28 |
2 | Charlestown Chiefs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | 8 | 0 | 22 | 82 | 80 | 85 | 0 | 90 | 25 | 0 | 15 | 1 | 0 | 0.00% | 0 | 0 | 0% | 0 | 62 | 151 | 41.06% | 81 | 285 | 28.42% | 34 | 131 | 25.95% | 88 | 59 | 254 | 48 | 76 | 28 |
3 | Cleveland Monsters | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 7 | 8 | 0 | 28 | 82 | 80 | 85 | 0 | 104 | 31 | 0 | 13 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 62 | 151 | 41.06% | 81 | 285 | 28.42% | 34 | 131 | 25.95% | 88 | 59 | 254 | 48 | 76 | 28 |
4 | Florida Everblades | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 2 | 7 | 8 | 0 | 45 | 82 | 80 | 85 | 0 | 45 | 13 | 0 | 13 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 62 | 151 | 41.06% | 81 | 285 | 28.42% | 34 | 131 | 25.95% | 88 | 59 | 254 | 48 | 76 | 28 |
5 | Hartford Wolf Pack | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 2 | 7 | 8 | 0 | 20 | 82 | 80 | 85 | 0 | 86 | 20 | 0 | 10 | 2 | 1 | 50.00% | 0 | 0 | 0% | 0 | 62 | 151 | 41.06% | 81 | 285 | 28.42% | 34 | 131 | 25.95% | 88 | 59 | 254 | 48 | 76 | 28 |
6 | Shake Acti-V | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 7 | 8 | 0 | 47 | 82 | 80 | 85 | 0 | 74 | 20 | 0 | 16 | 1 | 0 | 0.00% | 0 | 0 | 0% | 0 | 62 | 151 | 41.06% | 81 | 285 | 28.42% | 34 | 131 | 25.95% | 88 | 59 | 254 | 48 | 76 | 28 |
7 | Utica Comets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 2 | 7 | 8 | 0 | 64 | 82 | 80 | 85 | 0 | 61 | 16 | 2 | 21 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 62 | 151 | 41.06% | 81 | 285 | 28.42% | 34 | 131 | 25.95% | 88 | 59 | 254 | 48 | 76 | 28 |
Total | 7 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 17 | 51 | -34 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 31 | -19 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 20 | -15 | 0 | 0.000 | 17 | 32 | 49 | 0 | 0 | 2 | 7 | 8 | 0 | 247 | 82 | 80 | 85 | 0 | 536 | 160 | 2 | 97 | 5 | 1 | 20.00% | 1 | 1 | 0.00% | 0 | 62 | 151 | 41.06% | 81 | 285 | 28.42% | 34 | 131 | 25.95% | 88 | 59 | 254 | 48 | 76 | 28 | |
_Since Last GM Reset | 7 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 17 | 51 | -34 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 31 | -19 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 20 | -15 | 0 | 0.000 | 17 | 32 | 49 | 0 | 0 | 2 | 7 | 8 | 0 | 247 | 82 | 80 | 85 | 0 | 536 | 160 | 2 | 97 | 5 | 1 | 20.00% | 1 | 1 | 0.00% | 0 | 62 | 151 | 41.06% | 81 | 285 | 28.42% | 34 | 131 | 25.95% | 88 | 59 | 254 | 48 | 76 | 28 | |
_Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 2 | 7 | 8 | 0 | 47 | 82 | 80 | 85 | 0 | 74 | 20 | 0 | 16 | 1 | 0 | 0.00% | 0 | 0 | 0% | 0 | 62 | 151 | 41.06% | 81 | 285 | 28.42% | 34 | 131 | 25.95% | 88 | 59 | 254 | 48 | 76 | 28 | |
_Vs Division | 4 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 31 | -20 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 15 | -7 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 16 | -13 | 0 | 0.000 | 11 | 20 | 31 | 0 | 0 | 2 | 7 | 8 | 0 | 133 | 82 | 80 | 85 | 0 | 327 | 102 | 2 | 53 | 3 | 1 | 33.33% | 1 | 1 | 0.00% | 0 | 62 | 151 | 41.06% | 81 | 285 | 28.42% | 34 | 131 | 25.95% | 88 | 59 | 254 | 48 | 76 | 28 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
7 | 0 | L7 | 17 | 32 | 49 | 247 | 536 | 160 | 2 | 97 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
7 | 0 | 7 | 0 | 0 | 0 | 0 | 17 | 51 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
4 | 0 | 4 | 0 | 0 | 0 | 0 | 12 | 31 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 0 | 3 | 0 | 0 | 0 | 0 | 5 | 20 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 7 | 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 |
---|---|---|---|---|---|---|
5 | 1 | 20.00% | 1 | 1 | 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 |
---|---|---|---|---|---|---|---|
82 | 80 | 85 | 0 | 2 | 7 | 8 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
62 | 151 | 41.06% | 81 | 285 | 28.42% | 34 | 131 | 25.95% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
88 | 59 | 254 | 48 | 76 | 28 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
1 - 2024-09-01 | 1 | Shake Acti-V | 10 | San Diego Gulls | 4 | L | BoxScore | |||
3 - 2024-09-03 | 17 | San Diego Gulls | 2 | Florida Everblades | 4 | L | BoxScore | |||
5 - 2024-09-05 | 33 | Charlestown Chiefs | 6 | San Diego Gulls | 0 | L | BoxScore | |||
7 - 2024-09-07 | 49 | San Diego Gulls | 2 | Cleveland Monsters | 8 | L | BoxScore | |||
9 - 2024-09-09 | 65 | Utica Comets | 7 | San Diego Gulls | 5 | L | BoxScore | |||
11 - 2024-09-11 | 81 | San Diego Gulls | 1 | Bridgeport Islanders | 8 | L | BoxScore | |||
13 - 2024-09-13 | 97 | Hartford Wolf Pack | 8 | San Diego Gulls | 3 | L | BoxScore |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Capacity | 6000 | 3000 |
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 |
0 | 0 - 0.00% | 0$ | 0$ | 9000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
0$ | 1,828,000$ | 1,828,000$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 1 | 0$ | 0$ |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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