San Jose Barracuda | |
GP: 8 | W: 3 | L: 4 | OTL: 1 | P: 7 GF: 11 | GA: 16 | PP%: 10.53% | PK%: 100.00% GM : David Chevrette | Morale : 50 | Team Overall : N/A Next Games #161 vs Chicago Wolves |
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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 Edstrom (R) | X | X | 100.00 | 86 | 41 | 89 | 62 | 99 | 76 | 69 | 59 | 56 | 57 | 63 | 64 | 58 | 65 | 66 | 48 | 50 | 0 | 0 | 23 | 2 | 855,000$ | |||
2 | Axel Jonsson-Fjallby (R) | X | 100.00 | 68 | 37 | 95 | 66 | 75 | 78 | 83 | 65 | 61 | 64 | 64 | 63 | 62 | 67 | 68 | 53 | 50 | 0 | 0 | 26 | 3 | 775,000$ | ||||
3 | Aliaksei Protas (R) | X | X | 100.00 | 82 | 40 | 95 | 67 | 97 | 81 | 87 | 69 | 66 | 68 | 60 | 65 | 62 | 64 | 65 | 63 | 50 | 0 | 0 | 23 | 1 | 750,000$ | |||
4 | Bobby McMann | X | X | 100.00 | 73 | 42 | 76 | 68 | 82 | 81 | 79 | 64 | 65 | 61 | 67 | 63 | 66 | 68 | 70 | 36 | 48 | 0 | 0 | 28 | 4 | 775,000$ | |||
5 | Radim Zohorna | X | X | X | 100.00 | 82 | 41 | 82 | 63 | 96 | 78 | 83 | 62 | 67 | 64 | 61 | 65 | 62 | 68 | 69 | 36 | 50 | 0 | 0 | 28 | 2 | 775,000$ | ||
6 | Tyson Foerster (R) | X | X | 100.00 | 74 | 41 | 79 | 70 | 83 | 88 | 89 | 73 | 64 | 66 | 71 | 65 | 72 | 62 | 64 | 81 | 40 | 0 | 0 | 22 | 1 | 925,000$ | |||
7 | John Beecher (R) | X | X | 100.00 | 77 | 42 | 86 | 65 | 87 | 77 | 84 | 63 | 85 | 58 | 61 | 71 | 65 | 63 | 66 | 78 | 47 | 0 | 0 | 23 | 2 | 925,000$ | |||
8 | Kent Johnson (R) | X | X | 100.00 | 60 | 36 | 95 | 72 | 70 | 84 | 85 | 74 | 73 | 71 | 69 | 63 | 75 | 62 | 66 | 88 | 50 | 0 | 0 | 21 | 1 | 925,000$ | |||
9 | Matt Rempe (R) | X | X | 100.00 | 87 | 86 | 52 | 66 | 99 | 69 | 81 | 62 | 64 | 59 | 60 | 63 | 58 | 62 | 65 | 49 | 50 | 0 | 0 | 22 | 2 | 855,000$ | |||
10 | Olle Lycksell (R) | X | X | X | 100.00 | 61 | 35 | 91 | 65 | 63 | 84 | 82 | 64 | 68 | 66 | 63 | 62 | 67 | 65 | 68 | 47 | 50 | 0 | 0 | 25 | 2 | 775,000$ | ||
11 | Brandon Montour | X | 100.00 | 73 | 38 | 70 | 79 | 74 | 94 | 88 | 77 | 30 | 85 | 73 | 67 | 59 | 74 | 76 | 56 | 51 | 0 | 0 | 30 | 2 | 1,750,000$ | ||||
12 | Calle Rosen | X | 100.00 | 65 | 37 | 94 | 67 | 75 | 85 | 83 | 65 | 30 | 71 | 68 | 64 | 55 | 70 | 72 | 35 | 49 | 0 | 0 | 30 | 1 | 750,000$ | ||||
13 | Logan Stanley | X | 100.00 | 78 | 84 | 66 | 63 | 99 | 83 | 67 | 59 | 30 | 62 | 58 | 72 | 48 | 66 | 68 | 79 | 50 | 0 | 0 | 26 | 2 | 800,000$ | ||||
14 | Jake Christiansen (R) | X | 100.00 | 64 | 39 | 80 | 63 | 73 | 90 | 88 | 62 | 30 | 66 | 58 | 61 | 52 | 65 | 67 | 42 | 50 | 0 | 0 | 25 | 3 | 775,000$ | ||||
15 | Philip Broberg (R) | X | 100.00 | 75 | 39 | 95 | 65 | 89 | 79 | 81 | 63 | 30 | 67 | 58 | 64 | 50 | 63 | 65 | 86 | 50 | 0 | 0 | 23 | 1 | 925,000$ | ||||
16 | Emil Lilleberg (R) | X | 100.00 | 75 | 42 | 73 | 65 | 81 | 83 | 72 | 63 | 30 | 64 | 58 | 66 | 49 | 63 | 65 | 60 | 50 | 0 | 0 | 23 | 2 | 870,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Max McCormick | X | X | 100.00 | 58 | 39 | 72 | 64 | 70 | 84 | 86 | 63 | 65 | 62 | 64 | 60 | 63 | 72 | 76 | 30 | 50 | 0 | 0 | 32 | 2 | 700,000$ | |||
2 | Givani Smith (R) | X | 100.00 | 78 | 83 | 59 | 62 | 83 | 74 | 77 | 58 | 55 | 59 | 60 | 61 | 57 | 66 | 68 | 70 | 50 | 0 | 0 | 26 | 2 | 702,020$ | ||||
3 | Jeffrey Viel | X | 100.00 | 71 | 81 | 52 | 56 | 81 | 84 | 85 | 57 | 60 | 58 | 59 | 61 | 55 | 67 | 69 | 37 | 50 | 0 | 0 | 27 | 1 | 775,000$ | ||||
4 | Scott Reedy | X | X | 100.00 | 72 | 38 | 90 | 63 | 81 | 76 | 72 | 60 | 62 | 56 | 64 | 61 | 63 | 65 | 67 | 59 | 50 | 0 | 0 | 25 | 1 | 842,500$ | |||
5 | Libor Hajek (R) | X | 100.00 | 73 | 44 | 72 | 56 | 82 | 66 | 69 | 55 | 30 | 54 | 53 | 57 | 47 | 66 | 68 | 73 | 50 | 0 | 0 | 26 | 1 | 800,000$ | ||||
6 | Nick Blankenburg (R) | X | 97.75 | 67 | 38 | 82 | 66 | 65 | 86 | 73 | 64 | 30 | 67 | 63 | 66 | 52 | 65 | 68 | 42 | 50 | 0 | 0 | 26 | 1 | 800,000$ | ||||
TEAM AVERAGE | 99.90 | 73 | 47 | 79 | 65 | 82 | 81 | 80 | 64 | 52 | 64 | 63 | 64 | 59 | 66 | 68 | 57 | 49 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Goalie Name | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Erik Kallgren (R) | 100.00 | 65 | 99 | 74 | 83 | 66 | 64 | 64 | 64 | 64 | 54 | 72 | 68 | 81 | 53 | 50 | 0 | 0 | 27 | 1 | 775,000$ | |
2 | Jaxson Stauber (R) | 100.00 | 68 | 99 | 76 | 78 | 69 | 65 | 65 | 65 | 65 | 54 | 74 | 65 | 73 | 56 | 50 | 0 | 0 | 25 | 1 | 842,500$ | |
Scratches | |||||||||||||||||||||||
1 | Jon Gillies | 100.00 | 55 | 95 | 80 | 97 | 56 | 59 | 60 | 59 | 60 | 51 | 72 | 69 | 83 | 25 | 50 | 0 | 0 | 30 | 3 | 950,000$ | |
2 | Josef Korenar (R) | 100.00 | 40 | 90 | 80 | 50 | 40 | 40 | 40 | 40 | 40 | 40 | 40 | 25 | 25 | 11 | 50 | 0 | 0 | 26 | 1 | 702,019$ | |
TEAM AVERAGE | 100.00 | 57 | 96 | 78 | 77 | 58 | 57 | 57 | 57 | 57 | 50 | 65 | 57 | 66 | 36 | 50 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Logan Stanley | San Jose Barracuda (SJS) | D | 8 | 2 | 2 | 4 | -1 | 16 | 0 | 70 | 17 | 23 | 5 | 17 | 8.70% | 8 | 180 | 22.52 | 1 | 0 | 1 | 16 | 17 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 |
2 | Radim Zohorna | San Jose Barracuda (SJS) | C/LW/RW | 8 | 4 | 0 | 4 | 1 | 6 | 0 | 28 | 9 | 33 | 6 | 19 | 12.12% | 1 | 89 | 11.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 71.43% | 7 | 0 | 0 | 0 | 0 | 0.90 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 1 |
3 | Nick Blankenburg | San Jose Barracuda (SJS) | D | 6 | 0 | 3 | 3 | 1 | 2 | 0 | 34 | 8 | 12 | 3 | 6 | 0% | 4 | 120 | 20.02 | 0 | 0 | 0 | 11 | 10 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
4 | Calle Rosen | San Jose Barracuda (SJS) | D | 4 | 0 | 2 | 2 | 1 | 2 | 0 | 6 | 3 | 7 | 3 | 8 | 0% | 3 | 84 | 21.21 | 0 | 0 | 0 | 3 | 5 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5 | Philip Broberg | San Jose Barracuda (SJS) | D | 8 | 0 | 2 | 2 | -1 | 4 | 0 | 17 | 8 | 5 | 1 | 5 | 0% | 6 | 121 | 15.16 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6 | Axel Jonsson-Fjallby | San Jose Barracuda (SJS) | LW | 8 | 0 | 0 | 0 | -1 | 2 | 0 | 7 | 4 | 11 | 6 | 10 | 0% | 1 | 33 | 4.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 42 | 6 | 9 | 15 | 0 | 32 | 0 | 162 | 49 | 91 | 24 | 65 | 6.59% | 23 | 629 | 14.98 | 1 | 0 | 1 | 30 | 35 | 0 | 0 | 0 | 0 | 14 | 1 | 2 | 70.00% | 10 | 0 | 0 | 0 | 0 | 0.48 | 1 | 4 | 0 | 0 | 0 | 5 | 2 | 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 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Erik Kallgren | San Jose Barracuda (SJS) | 8 | 3 | 4 | 1 | 0.908 | 1.84 | 488 | 0 | 0 | 15 | 163 | 0 | 0 | 0 | 0.667 | 6 | 8 | 8 | 0 | 1 | 1 |
Team Total or Average | 8 | 3 | 4 | 1 | 0.908 | 1.84 | 488 | 0 | 0 | 15 | 163 | 0 | 0 | 0 | 6 | 8 | 8 | 0 | 1 | 1 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Player Name | Team Name | POS | Age | Birthday | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
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Adam Edstrom | San Jose Barracuda (SJS) | C/LW | 23 | 2000-10-12 | SWE | Yes | 234 Lbs | 6 ft7 | No | No | Assign Manually | No | No | 2 | 2024-08-27 | False | False | Pro & Farm | 855,000$ | 753,634$ | 0$ | 0$ | No | 855,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Aliaksei Protas | San Jose Barracuda (SJS) | C/RW | 23 | 2001-01-06 | BLR | Yes | 225 Lbs | 6 ft6 | No | No | Trade | 2024-02-19 | No | No | 1 | False | False | Pro & Farm | 750,000$ | 661,082$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Axel Jonsson-Fjallby | San Jose Barracuda (SJS) | LW | 26 | 1998-02-10 | SWE | Yes | 189 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | 2024-05-19 | False | False | Pro & Farm | 775,000$ | 683,119$ | 0$ | 0$ | No | 775,000$ | 775,000$ | - | - | - | - | - | - | - | 775,000$ | 775,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
Bobby McMann | San Jose Barracuda (SJS) | LW/RW | 28 | 1996-06-15 | CAN | No | 210 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 4 | 2024-08-27 | False | False | Pro & Farm | 775,000$ | 683,119$ | 0$ | 0$ | No | 775,000$ | 775,000$ | 775,000$ | - | - | - | - | - | - | 600,000$ | 600,000$ | 600,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Link | |
Brandon Montour | San Jose Barracuda (SJS) | D | 30 | 1994-04-11 | CAN | No | 199 Lbs | 6 ft0 | No | No | Trade | 2024-02-19 | No | No | 2 | False | False | Pro & Farm | 1,750,000$ | 1,542,526$ | 0$ | 0$ | No | 1,750,000$ | - | - | - | - | - | - | - | - | 1,750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Calle Rosen | San Jose Barracuda (SJS) | D | 30 | 1994-02-02 | SWE | No | 188 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 661,082$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Emil Lilleberg | San Jose Barracuda (SJS) | D | 23 | 2001-02-02 | NOR | Yes | 202 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 2 | 2024-08-27 | False | False | Pro & Farm | 870,000$ | 766,856$ | 0$ | 0$ | No | 870,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Erik Kallgren | San Jose Barracuda (SJS) | G | 27 | 1996-10-14 | SWE | Yes | 200 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | 2024-05-19 | False | False | Pro & Farm | 775,000$ | 683,119$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Givani Smith | San Jose Barracuda (SJS) | LW | 26 | 1998-02-27 | CAN | Yes | 214 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 702,020$ | 618,791$ | 0$ | 0$ | No | 702,020$ | - | - | - | - | - | - | - | - | 702,020$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Jake Christiansen | San Jose Barracuda (SJS) | D | 25 | 1999-09-12 | CAN | Yes | 193 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 3 | 2024-08-18 | False | False | Pro & Farm | 775,000$ | 683,119$ | 0$ | 0$ | No | 775,000$ | 775,000$ | - | - | - | - | - | - | - | 600,000$ | 600,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | |
Jaxson Stauber | San Jose Barracuda (SJS) | G | 25 | 1999-04-27 | USA | Yes | 174 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 842,500$ | 742,616$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Jeffrey Viel | San Jose Barracuda (SJS) | LW | 27 | 1997-01-28 | CAN | No | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | 2024-05-19 | False | False | Pro & Farm | 775,000$ | 683,119$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
John Beecher | San Jose Barracuda (SJS) | C/LW | 23 | 2001-04-05 | USA | Yes | 216 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 2 | 2024-08-18 | False | False | Pro & Farm | 925,000$ | 815,335$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Jon Gillies | San Jose Barracuda (SJS) | G | 30 | 1994-01-22 | USA | No | 223 Lbs | 6 ft6 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 950,000$ | 837,371$ | 0$ | 0$ | No | 950,000$ | 950,000$ | - | - | - | - | - | - | - | 600,000$ | 600,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Link | ||
Josef Korenar | San Jose Barracuda (SJS) | G | 26 | 1998-01-31 | CZE | Yes | 185 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 702,019$ | 618,790$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Kent Johnson | San Jose Barracuda (SJS) | C/LW | 21 | 2002-10-18 | CAN | Yes | 178 Lbs | 6 ft0 | No | No | Trade | 2024-05-31 | No | No | 1 | False | False | Pro & Farm | 925,000$ | 815,335$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | |
Libor Hajek | San Jose Barracuda (SJS) | D | 26 | 1998-02-04 | CZE | Yes | 209 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 705,155$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Logan Stanley | San Jose Barracuda (SJS) | D | 26 | 1998-05-26 | CAN | No | 231 Lbs | 6 ft7 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 800,000$ | 705,155$ | 0$ | 0$ | No | 800,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Matt Rempe | San Jose Barracuda (SJS) | C/RW | 22 | 2002-06-29 | CAN | Yes | 241 Lbs | 6 ft7 | No | No | Assign Manually | No | No | 2 | 2024-08-27 | False | False | Pro & Farm | 855,000$ | 753,634$ | 0$ | 0$ | No | 855,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Max McCormick | San Jose Barracuda (SJS) | LW/RW | 32 | 1992-05-01 | USA | No | 188 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 700,000$ | 617,010$ | 0$ | 0$ | No | 700,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | ||
Nick Blankenburg | San Jose Barracuda (SJS) | D | 26 | 1998-05-12 | USA | Yes | 177 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 800,000$ | 705,155$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Olle Lycksell | San Jose Barracuda (SJS) | C/LW/RW | 25 | 1999-08-24 | SWE | Yes | 163 Lbs | 5 ft10 | No | No | Assign Manually | No | No | 2 | 2024-08-18 | False | False | Pro & Farm | 775,000$ | 683,119$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Philip Broberg | San Jose Barracuda (SJS) | D | 23 | 2001-06-25 | SWE | Yes | 212 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 925,000$ | 815,335$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Radim Zohorna | San Jose Barracuda (SJS) | C/LW/RW | 28 | 1996-04-29 | CZE | No | 220 Lbs | 6 ft6 | No | No | N/A | No | No | 2 | 2024-05-19 | False | False | Pro & Farm | 775,000$ | 683,119$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Link | |
Scott Reedy | San Jose Barracuda (SJS) | C/RW | 25 | 1999-04-04 | USA | No | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 842,500$ | 742,616$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link | ||
Tyson Foerster | San Jose Barracuda (SJS) | C/RW | 22 | 2002-01-18 | CAN | Yes | 215 Lbs | 6 ft2 | No | No | Trade | 2024-10-08 | No | No | 1 | False | False | Pro & Farm | 925,000$ | 815,335$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
26 | 25.69 | 204 Lbs | 6 ft2 | 1.73 | 849,771$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | Radim Zohorna | 22 | 1 | 2 | 2 | ||
4 | Axel Jonsson-Fjallby | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Logan Stanley | 38 | 1 | 2 | 2 | ||
2 | 30 | 1 | 2 | 2 | |||
3 | Philip Broberg | 22 | 1 | 2 | 2 | ||
4 | Logan Stanley | 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 | Logan Stanley | 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 | Logan Stanley | 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 | Logan Stanley | 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 | Logan Stanley | 60 | 1 | 2 | 2 | |
2 | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Logan Stanley |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Logan Stanley |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, Radim Zohorna, | , Radim Zohorna |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Philip Broberg, , | Philip Broberg | , |
Penalty Shots |
---|
, , , , |
Goalie |
---|
#1 : , #2 : Erik Kallgren |
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 | Abbotsford Canucks | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 4 | 2 | 16 | 56 | 77 | 65 | 9 | 20 | 5 | 12 | 18 | 5 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 80 | 205 | 39.02% | 83 | 189 | 43.92% | 34 | 97 | 35.05% | 220 | 170 | 184 | 45 | 85 | 46 |
2 | Charlotte Checkers | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0.750 | 4 | 7 | 11 | 0 | 0 | 3 | 3 | 4 | 2 | 69 | 56 | 77 | 65 | 9 | 25 | 5 | 6 | 63 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 80 | 205 | 39.02% | 83 | 189 | 43.92% | 34 | 97 | 35.05% | 220 | 170 | 184 | 45 | 85 | 46 |
3 | Laval Rocket | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 4 | 2 | 15 | 56 | 77 | 65 | 9 | 18 | 5 | 4 | 23 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 80 | 205 | 39.02% | 83 | 189 | 43.92% | 34 | 97 | 35.05% | 220 | 170 | 184 | 45 | 85 | 46 |
4 | Ontario Reign | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 3 | 3 | 4 | 2 | 25 | 56 | 77 | 65 | 9 | 20 | 5 | 4 | 29 | 4 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 80 | 205 | 39.02% | 83 | 189 | 43.92% | 34 | 97 | 35.05% | 220 | 170 | 184 | 45 | 85 | 46 |
5 | San Diego Gulls | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 3 | 3 | 4 | 2 | 37 | 56 | 77 | 65 | 9 | 28 | 10 | 4 | 23 | 3 | 2 | 66.67% | 2 | 0 | 100.00% | 0 | 80 | 205 | 39.02% | 83 | 189 | 43.92% | 34 | 97 | 35.05% | 220 | 170 | 184 | 45 | 85 | 46 |
6 | Texas Stars | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 0.500 | 2 | 1 | 3 | 0 | 0 | 3 | 3 | 4 | 2 | 39 | 56 | 77 | 65 | 9 | 52 | 7 | 6 | 38 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 80 | 205 | 39.02% | 83 | 189 | 43.92% | 34 | 97 | 35.05% | 220 | 170 | 184 | 45 | 85 | 46 |
Total | 8 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 11 | 16 | -5 | 5 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 5 | 12 | -7 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 4 | 2 | 7 | 0.438 | 11 | 17 | 28 | 0 | 0 | 3 | 3 | 4 | 2 | 201 | 56 | 77 | 65 | 9 | 163 | 37 | 36 | 194 | 19 | 2 | 10.53% | 16 | 0 | 100.00% | 0 | 80 | 205 | 39.02% | 83 | 189 | 43.92% | 34 | 97 | 35.05% | 220 | 170 | 184 | 45 | 85 | 46 | |
_Since Last GM Reset | 8 | 2 | 4 | 0 | 0 | 0 | 1 | 1 | 11 | 16 | -5 | 5 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 5 | 12 | -7 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 4 | 2 | 7 | 0.438 | 11 | 17 | 28 | 0 | 0 | 3 | 3 | 4 | 2 | 201 | 56 | 77 | 65 | 9 | 163 | 37 | 36 | 194 | 19 | 2 | 10.53% | 16 | 0 | 100.00% | 0 | 80 | 205 | 39.02% | 83 | 189 | 43.92% | 34 | 97 | 35.05% | 220 | 170 | 184 | 45 | 85 | 46 | |
_Vs Conference | 5 | 1 | 3 | 0 | 0 | 0 | 1 | 0 | 7 | 12 | -5 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | -8 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 3 | 3 | 4 | 0.400 | 7 | 10 | 17 | 0 | 0 | 3 | 3 | 4 | 2 | 117 | 56 | 77 | 65 | 9 | 120 | 27 | 26 | 108 | 17 | 2 | 11.76% | 11 | 0 | 100.00% | 0 | 80 | 205 | 39.02% | 83 | 189 | 43.92% | 34 | 97 | 35.05% | 220 | 170 | 184 | 45 | 85 | 46 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
8 | 7 | W1 | 11 | 17 | 28 | 201 | 163 | 37 | 36 | 194 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
8 | 2 | 4 | 0 | 0 | 1 | 1 | 11 | 16 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 1 | 3 | 0 | 0 | 0 | 1 | 5 | 12 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 1 | 1 | 0 | 0 | 1 | 0 | 6 | 4 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
2 | 4 | 0 | 0 | 1 | 1 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
19 | 2 | 10.53% | 16 | 0 | 100.00% | 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 |
---|---|---|---|---|---|---|---|
56 | 77 | 65 | 9 | 3 | 3 | 4 | 2 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
80 | 205 | 39.02% | 83 | 189 | 43.92% | 34 | 97 | 35.05% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
220 | 170 | 184 | 45 | 85 | 46 |
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 | 9,535 | 4,846 |
Attendance PCT | 95.35% | 96.92% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
31 | 2876 - 95.87% | 95,914$ | 479,570$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries |
239,132$ | 2,209,404$ | 1,795,606$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
11,389$ | 239,132$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
2,973,334$ | 171 | 11,389$ | 1,947,519$ |
# | 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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