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Full Scoreboard »» |
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Full Scoreboard »» |
| Bridgeport Islanders 6-5-2, 14pts · 9th in Eastern |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jakob Pelletier | 0 | C/LW | 96.00 | 67 | 31 | 93 | 65 | 64 | 74 | 75 | 60 | 60 | 65 | 63 | 61 | 62 | 65 | 64 | 0 | 31 | 73 | 24 | 900,000$/2yrs | |||
Cameron Wright | 0 | LW/RW | 98.00 | 74 | 40 | 68 | 54 | 76 | 66 | 69 | 65 | 35 | 54 | 57 | 68 | 56 | 70 | 67 | 0 | 41 | 70 | 27 | 800,000$/2yrs | |||
Berkly Catton (R) | 0 | C | 100.00 | 65 | 38 | 82 | 63 | 66 | 68 | 86 | 59 | 65 | 62 | 60 | 62 | 61 | 56 | 54 | 0 | 41 | 70 | 19 | 942,500$/3yrs | |||
Axel Jonsson-Fjallby | 0 | LW | 100.00 | 70 | 32 | 99 | 55 | 75 | 69 | 69 | 58 | 60 | 59 | 59 | 56 | 58 | 70 | 70 | 0 | 42 | 69 | 27 | 775,000$/1yrs | |||
Angus Crookshank | 0 | LW | 100.00 | 74 | 32 | 93 | 58 | 69 | 72 | 68 | 56 | 59 | 58 | 60 | 58 | 58 | 67 | 66 | 0 | 42 | 69 | 26 | 900,000$/1yrs | |||
Jackson Cates | 0 | C | 100.00 | 61 | 38 | 89 | 53 | 74 | 65 | 69 | 66 | 41 | 54 | 55 | 69 | 54 | 72 | 70 | 0 | 43 | 69 | 28 | 800,000$/1yrs | |||
Brandon Coe (R) | 0 | RW | 100.00 | 69 | 40 | 77 | 54 | 79 | 64 | 68 | 62 | 41 | 53 | 55 | 66 | 54 | 64 | 62 | 0 | 42 | 68 | 23 | 900,000$/2yrs | |||
Gabriel Fortier (R) | 0 | C | 100.00 | 60 | 38 | 90 | 55 | 69 | 65 | 69 | 63 | 62 | 54 | 57 | 66 | 55 | 66 | 65 | 0 | 40 | 68 | 25 | 800,000$/1yrs | |||
Samuel Honzek (R) | 0 | LW | 100.00 | 60 | 39 | 87 | 63 | 79 | 69 | 60 | 57 | 30 | 57 | 55 | 61 | 64 | 54 | 53 | 0 | 42 | 68 | 20 | 950,000$/1yrs | |||
Samuel Bitten | 0 | C | 100.00 | 95 | 45 | 50 | 51 | 86 | 62 | 66 | 64 | 50 | 52 | 51 | 67 | 51 | 66 | 61 | 0 | 42 | 68 | 25 | 775,000$/1yrs | |||
Kaleb Lawrence | 0 | RW | 100.00 | 87 | 44 | 50 | 55 | 93 | 63 | 66 | 60 | 47 | 52 | 57 | 63 | 55 | 61 | 56 | 0 | 42 | 68 | 22 | 852,500$/2yrs | |||
Raivis Ansons | 0 | C | 100.00 | 72 | 40 | 71 | 53 | 76 | 62 | 66 | 62 | 38 | 53 | 52 | 65 | 52 | 63 | 60 | 0 | 40 | 67 | 28 | 800,000$/3yrs | |||
Kevin Wall (R) | 0 | RW | 100.00 | 59 | 39 | 92 | 52 | 80 | 63 | 66 | 63 | 47 | 53 | 53 | 67 | 53 | 66 | 65 | 0 | 39 | 67 | 25 | 800,000$/2yrs | |||
Axel Sandin Pellikka (R) | 0 | D | 99.00 | 68 | 38 | 84 | 66 | 71 | 69 | 93 | 56 | 30 | 63 | 65 | 60 | 64 | 56 | 54 | 0 | 42 | 72 | 20 | 918,333$/3yrs | |||
Leo Sahlin Wallenius (R) | 0 | D | 99.00 | 57 | 37 | 96 | 60 | 72 | 65 | 76 | 55 | 30 | 61 | 56 | 61 | 59 | 56 | 55 | 0 | 42 | 70 | 19 | 940,000$/3yrs | |||
Matthew Schaeffer (R) | 0 | D | 100.00 | 63 | 39 | 83 | 59 | 75 | 66 | 71 | 55 | 30 | 59 | 57 | 64 | 58 | 54 | 52 | 0 | 42 | 69 | 18 | 975,000$/3yrs | |||
Scott Harrington | 4 | D | 100.00 | 64 | 40 | 85 | 47 | 84 | 65 | 65 | 46 | 30 | 52 | 51 | 74 | 51 | 78 | 77 | 0 | 42 | 67 | 32 | 775,000$/1yrs | |||
Drew Bavaro | 0 | D | 100.00 | 65 | 39 | 83 | 48 | 79 | 63 | 65 | 48 | 30 | 54 | 51 | 67 | 52 | 66 | 64 | 0 | 40 | 66 | 25 | 867,500$/1yrs | |||
Lleyton Moore (R) | 0 | D | 100.00 | 59 | 37 | 93 | 49 | 66 | 63 | 66 | 48 | 30 | 54 | 53 | 65 | 53 | 63 | 62 | 0 | 40 | 66 | 23 | 800,000$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Laurent Dauphin | 0 | LW/RW | 100.00 | 66 | 32 | 83 | 55 | 73 | 73 | 68 | 52 | 80 | 50 | 56 | 60 | 54 | 74 | 72 | 0 | 29 | 66 | 30 | 780,000$/1yrs | |||
Emil Hemming (R) | 0 | LW/RW | 100.00 | 59 | 39 | 88 | 58 | 78 | 63 | 87 | 53 | 62 | 56 | 56 | 61 | 56 | 56 | 54 | 0 | 29 | 66 | 19 | 942,500$/3yrs | |||
Maxim Groshev (R) | 0 | LW | 100.00 | 62 | 39 | 87 | 50 | 79 | 64 | 68 | 49 | 30 | 55 | 54 | 66 | 55 | 64 | 63 | 0 | 29 | 65 | 23 | 867,500$/1yrs | |||
Oliver Kapanen (R) | 0 | C | 100.00 | 52 | 33 | 95 | 55 | 78 | 74 | 68 | 51 | 73 | 59 | 50 | 55 | 51 | 60 | 60 | 0 | 27 | 65 | 22 | 925,000$/2yrs | |||
Peter Diliberatore | 0 | D | 100.00 | 68 | 39 | 78 | 48 | 72 | 63 | 66 | 48 | 30 | 54 | 52 | 67 | 53 | 66 | 64 | 0 | 30 | 66 | 25 | 800,000$/1yrs | |||
Lassi Thomson (R) | 0 | D | 100.00 | 69 | 39 | 76 | 50 | 74 | 63 | 86 | 49 | 30 | 56 | 50 | 65 | 53 | 63 | 60 | 0 | 39 | 66 | 25 | 900,000$/1yrs | |||
Philip Kemp | 0 | D | 100.00 | 70 | 40 | 74 | 47 | 82 | 61 | 88 | 46 | 30 | 52 | 48 | 66 | 50 | 64 | 62 | 0 | 27 | 65 | 26 | 775,000$/2yrs | |||
Michael Callahan | 0 | D | 100.00 | 61 | 48 | 85 | 55 | 80 | 79 | 68 | 50 | 30 | 50 | 58 | 57 | 54 | 67 | 65 | 0 | 27 | 65 | 26 | 800,000$/1yrs | |||
Jack Peart (R) | 0 | D | 100.00 | 66 | 39 | 81 | 47 | 76 | 61 | 65 | 47 | 30 | 53 | 51 | 64 | 52 | 61 | 59 | 0 | 29 | 65 | 22 | 925,000$/3yrs | |||
Quinn Schmiemann (R) | 0 | D | 100.00 | 72 | 41 | 71 | 45 | 80 | 59 | 77 | 44 | 30 | 49 | 48 | 64 | 49 | 61 | 58 | 0 | 27 | 62 | 24 | 800,000$/3yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Isaac Poulter | 0 | 100.00 | 73 | 72 | 71 | 71 | 79 | 76 | 74 | 73 | 76 | 75 | 74 | 65 | 66 | 0 | 42 | 77 | 24 | 800,000$/2yrs |
Dustin Tokarski | 0 | 100.00 | 60 | 62 | 66 | 79 | 62 | 60 | 61 | 67 | 60 | 73 | 61 | 83 | 86 | 0 | 39 | 71 | 36 | 800,000$/1yrs |
| Scratches | ||||||||||||||||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Barry Trotz | 87 | 85 | 78 | 85 | 99 | 89 | 90 | CAN | 61 | 2 | 1,000,000$ |
| General Manager |
|---|
| 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 | SHT | OSB | OSM | SHT% | SB | AMG | PPG | PPA | PPP | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Axel Sandin Pellikka | D | 13 | 3 | 8 | 11 | -4 | 16 | 0 | 42 | 20 | 12 | 23 | 15.00% | 16 | 23.26 | 1 | 2 | 3 | 34 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | ||
| 2 | Cameron Wright | LW/RW | 13 | 1 | 7 | 8 | -2 | 6 | 0 | 42 | 57 | 16 | 32 | 1.75% | 3 | 20.30 | 1 | 1 | 2 | 35 | 0 | 0 | 0 | 21 | 1 | 0 | 42.86% | 14 | 0 | 0 | 0 | 0 | 0.61 | 0 | 2 | ||
| 3 | Axel Jonsson-Fjallby | LW | 13 | 3 | 4 | 7 | 1 | 2 | 0 | 7 | 33 | 9 | 23 | 9.09% | 1 | 19.49 | 1 | 2 | 3 | 30 | 0 | 0 | 0 | 22 | 0 | 0 | 36.36% | 22 | 0 | 0 | 0 | 0 | 0.55 | 1 | 1 | ||
| 4 | Brandon Coe | RW | 10 | 2 | 5 | 7 | 1 | 2 | 0 | 16 | 29 | 2 | 22 | 6.90% | 2 | 17.56 | 0 | 2 | 2 | 16 | 0 | 0 | 0 | 0 | 1 | 0 | 7.69% | 13 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | ||
| 5 | Matthew Schaeffer | D | 13 | 4 | 3 | 7 | 0 | 6 | 0 | 25 | 23 | 4 | 9 | 17.39% | 11 | 20.94 | 1 | 1 | 2 | 29 | 0 | 0 | 0 | 29 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | ||
| 6 | Angus Crookshank | LW | 13 | 3 | 2 | 5 | -3 | 4 | 0 | 18 | 32 | 13 | 21 | 9.38% | 1 | 20.88 | 1 | 1 | 2 | 28 | 0 | 0 | 0 | 20 | 1 | 0 | 38.10% | 21 | 0 | 0 | 0 | 0 | 0.37 | 1 | 2 | ||
| 7 | Jackson Cates | C | 10 | 2 | 3 | 5 | 1 | 0 | 0 | 6 | 33 | 9 | 25 | 6.06% | 1 | 18.87 | 0 | 1 | 1 | 17 | 0 | 0 | 0 | 11 | 1 | 0 | 39.89% | 188 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | ||
| 8 | Samuel Bitten | C | 13 | 2 | 3 | 5 | -1 | 12 | 0 | 39 | 29 | 10 | 15 | 6.90% | 3 | 16.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 50.00% | 252 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | ||
| 9 | Berkly Catton | C | 13 | 1 | 4 | 5 | -1 | 8 | 0 | 15 | 48 | 11 | 38 | 2.08% | 1 | 21.83 | 0 | 0 | 0 | 32 | 0 | 0 | 0 | 22 | 0 | 0 | 53.30% | 409 | 0 | 0 | 0 | 0 | 0.35 | 0 | 2 | ||
| 10 | Laurent Dauphin | LW/RW | 5 | 2 | 2 | 4 | 1 | 0 | 0 | 1 | 7 | 1 | 3 | 28.57% | 2 | 10.02 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 1.60 | 0 | 0 | ||
| 11 | Scott Harrington | D | 13 | 2 | 2 | 4 | 0 | 8 | 0 | 27 | 8 | 6 | 8 | 25.00% | 19 | 20.89 | 1 | 1 | 2 | 30 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | ||
| 12 | Kevin Wall | RW | 12 | 1 | 2 | 3 | -2 | 2 | 0 | 1 | 16 | 2 | 10 | 6.25% | 2 | 8.43 | 0 | 0 | 0 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 9 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | ||
| 13 | Lassi Thomson | D | 9 | 0 | 2 | 2 | -2 | 10 | 0 | 21 | 4 | 1 | 1 | 0.00% | 9 | 15.80 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.28 | 0 | 0 | ||
| 14 | Jakob Pelletier | C/LW | 6 | 1 | 1 | 2 | -3 | 2 | 0 | 7 | 23 | 6 | 14 | 4.35% | 3 | 24.90 | 0 | 0 | 0 | 15 | 0 | 0 | 0 | 22 | 0 | 0 | 48.91% | 184 | 0 | 0 | 0 | 0 | 0.27 | 1 | 2 | ||
| 15 | Samuel Honzek | LW | 13 | 0 | 2 | 2 | -2 | 0 | 0 | 2 | 21 | 1 | 6 | 0.00% | 2 | 10.87 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 6 | 0 | 0 | 0 | 0 | 0.28 | 0 | 1 | ||
| 16 | Lleyton Moore | D | 9 | 1 | 0 | 1 | 1 | 0 | 0 | 3 | 4 | 3 | 4 | 25.00% | 2 | 7.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.31 | 0 | 0 | ||
| 17 | Kaleb Lawrence | RW | 10 | 1 | 0 | 1 | -2 | 2 | 0 | 9 | 13 | 1 | 8 | 7.69% | 1 | 11.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | ||
| 18 | Jack Peart | D | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 8 | 1 | 1 | 1 | 0.00% | 4 | 13.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | ||
| 19 | Emil Hemming | LW/RW | 4 | 0 | 1 | 1 | -2 | 2 | 0 | 3 | 6 | 3 | 9 | 0.00% | 0 | 14.20 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.35 | 0 | 0 | ||
| 20 | Leo Sahlin Wallenius | D | 13 | 0 | 1 | 1 | -4 | 4 | 0 | 9 | 21 | 11 | 18 | 0.00% | 21 | 23.12 | 0 | 0 | 0 | 34 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.07 | 0 | 0 | ||
| 21 | Peter Diliberatore | D | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 4 | 1 | 0 | 1 | 0.00% | 2 | 15.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 22 | Gabriel Fortier | C | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.00% | 0 | 0.52 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 23 | Raivis Ansons | C | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 24 | Maxim Groshev | LW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 25 | Drew Bavaro | D | 8 | 0 | 0 | 0 | 1 | 0 | 0 | 15 | 5 | 0 | 7 | 0.00% | 10 | 16.05 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 26 | Oliver Kapanen | C | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 4.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 48.15% | 27 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 244 | 29 | 53 | 82 | -23 | 86 | 0 | 321 | 435 | 122 | 299 | 6.67% | 116 | 15.80 | 6 | 11 | 17 | 332 | 0 | 0 | 0 | 273 | 5 | 0 | 48.45% | 1160 | 0 | 0 | 0 | 0 | 0.43 | 3 | 10 |
| 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 | Isaac Poulter | 5 | 1 | 2 | 1 | 0.911 | 3.15 | 267 | 0 | 0 | 14 | 158 | 0 | 1 | 0 | 0.700 | 10 | 4 | 8 | 0 | 0 | 0 | |
| Team Total or Average | 5 | 1 | 2 | 1 | 0.911 | 3.15 | 267 | 0 | 0 | 14 | 158 | 0 | 1 | 0 | 0.700 | 10 | 4 | 8 | 0 | 0 | 0 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Angus Crookshank | LW | 26 | 900,000$ | 900,000$ | |||||||
| Axel Jonsson-Fjallby | LW | 27 | 775,000$ | 775,000$ | UFA | ||||||
| Axel Sandin Pellikka | D | 20 | 918,333$ | 918,333$ | 918,333$ | 918,333$ | RFA | ||||
| Berkly Catton | C | 19 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
| Brandon Coe | RW | 23 | 900,000$ | 900,000$ | 900,000$ | ||||||
| Cameron Wright | LW/RW | 27 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
| Drew Bavaro | D | 25 | 867,500$ | 867,500$ | |||||||
| Dustin Tokarski | G | 36 | 800,000$ | 800,000$ | UFA | ||||||
| Emil Hemming | LW/RW | 19 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
| Gabriel Fortier | C | 25 | 800,000$ | 800,000$ | |||||||
| Isaac Poulter | G | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Jack Peart | D | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | |||||
| Jackson Cates | C | 28 | 800,000$ | 800,000$ | UFA | ||||||
| Jakob Pelletier | C/LW | 24 | 900,000$ | 900,000$ | 900,000$ | ||||||
| Kaleb Lawrence | RW | 22 | 852,500$ | 852,500$ | 852,500$ | RFA | |||||
| Kevin Wall | RW | 25 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Lassi Thomson | D | 25 | 900,000$ | 900,000$ | |||||||
| Laurent Dauphin | LW/RW | 30 | 780,000$ | 780,000$ | UFA | ||||||
| Leo Sahlin Wallenius | D | 19 | 940,000$ | 940,000$ | 940,000$ | 940,000$ | RFA | ||||
| Lleyton Moore | D | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Matthew Schaeffer | D | 18 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Maxim Groshev | LW | 23 | 867,500$ | 867,500$ | RFA | ||||||
| Michael Callahan | D | 26 | 800,000$ | 800,000$ | |||||||
| Oliver Kapanen | C | 22 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
| Peter Diliberatore | D | 25 | 800,000$ | 800,000$ | |||||||
| Philip Kemp | D | 26 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
| Quinn Schmiemann | D | 24 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | |||||
| Raivis Ansons | C | 28 | 800,000$ | 800,000$ | 800,000$ | 800,000$ | UFA | ||||
| Samuel Bitten | C | 25 | 775,000$ | 775,000$ | |||||||
| Samuel Honzek | LW | 20 | 950,000$ | 950,000$ | RFA | ||||||
| Scott Harrington | D | 32 | 775,000$ | 775,000$ | UFA |
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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 |
| # | VS Team | 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 | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 13 | 7 | 9 | 3 | 53 | 154 | 135 | 138 | 18 | 70 | 19 | 18 | 54 | 6 | 0 | 0.00% | 9 | 3 | 66.67% | 0 | 233 | 473 | 49.26% | 230 | 476 | 48.32% | 99 | 198 | 50.00% | 301 | 200 | 312 | 101 | 177 | 88 | 28.6% | 3.8% | 88.6% | 92.3 | Unlucky | |
| 2 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 9 | 15 | 0 | 0 | 13 | 7 | 9 | 3 | 77 | 154 | 135 | 138 | 18 | 71 | 14 | 14 | 53 | 7 | 2 | 28.57% | 6 | 1 | 83.33% | 0 | 233 | 473 | 49.26% | 230 | 476 | 48.32% | 99 | 198 | 50.00% | 301 | 200 | 312 | 101 | 177 | 88 | 57.1% | 7.8% | 94.4% | 102.2 | DULL | |
| 3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 1 | 2 | 0 | 0 | 13 | 7 | 9 | 3 | 33 | 154 | 135 | 138 | 18 | 28 | 11 | 0 | 17 | 6 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 233 | 473 | 49.26% | 230 | 476 | 48.32% | 99 | 198 | 50.00% | 301 | 200 | 312 | 101 | 177 | 88 | 33.3% | 3.0% | 92.9% | 95.9 | DULL | |
| 4 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 2 | 0.333 | 8 | 15 | 23 | 0 | 0 | 13 | 7 | 9 | 3 | 101 | 154 | 135 | 138 | 18 | 126 | 32 | 26 | 78 | 4 | 0 | 0.00% | 12 | 3 | 75.00% | 0 | 233 | 473 | 49.26% | 230 | 476 | 48.32% | 99 | 198 | 50.00% | 301 | 200 | 312 | 101 | 177 | 88 | 50.0% | 7.9% | 91.3% | 99.2 | DULL | |
| 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 13 | 7 | 9 | 3 | 39 | 154 | 135 | 138 | 18 | 27 | 12 | 6 | 35 | 0 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 233 | 473 | 49.26% | 230 | 476 | 48.32% | 99 | 198 | 50.00% | 301 | 200 | 312 | 101 | 177 | 88 | 40.0% | 5.1% | 88.9% | 94.0 | Unlucky | |
| 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 13 | 7 | 9 | 3 | 42 | 154 | 135 | 138 | 18 | 18 | 9 | 6 | 18 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 233 | 473 | 49.26% | 230 | 476 | 48.32% | 99 | 198 | 50.00% | 301 | 200 | 312 | 101 | 177 | 88 | 60.0% | 7.1% | 88.9% | 96.0 | Unlucky | |
| 7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 13 | 7 | 9 | 3 | 61 | 154 | 135 | 138 | 18 | 59 | 13 | 12 | 43 | 7 | 2 | 28.57% | 6 | 2 | 66.67% | 0 | 233 | 473 | 49.26% | 230 | 476 | 48.32% | 99 | 198 | 50.00% | 301 | 200 | 312 | 101 | 177 | 88 | 40.0% | 6.6% | 91.5% | 98.1 | DULL | |
| 8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 13 | 7 | 9 | 3 | 29 | 154 | 135 | 138 | 18 | 34 | 6 | 6 | 23 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 233 | 473 | 49.26% | 230 | 476 | 48.32% | 99 | 198 | 50.00% | 301 | 200 | 312 | 101 | 177 | 88 | 40.0% | 13.8% | 91.2% | 105.0 | LUCKY | |
| _Vs Division | 4 | 5 | 5 | 0 | 0 | 0 | 1 | 1 | 8 | 9 | -1 | 13 | 1.625 | 8 | 14 | 22 | 0 | 0 | 13 | 7 | 9 | 3 | 136 | 154 | 135 | 138 | 18 | 105 | 33 | 18 | 78 | 15 | 2 | 13.33% | 8 | 2 | 75.00% | 0 | 233 | 473 | 49.26% | 230 | 476 | 48.32% | 99 | 198 | 50.00% | 301 | 200 | 312 | 101 | 177 | 88 | 46.2% | 5.9% | 91.4% | 97.3 | DULL | |
| _Vs Conference | 13 | 5 | 5 | 0 | 0 | 1 | 1 | 1 | 30 | 38 | -8 | 14 | 0.538 | 30 | 53 | 83 | 0 | 0 | 13 | 7 | 9 | 3 | 435 | 154 | 135 | 138 | 18 | 433 | 116 | 88 | 321 | 37 | 6 | 16.22% | 40 | 9 | 77.50% | 0 | 233 | 473 | 49.26% | 230 | 476 | 48.32% | 99 | 198 | 50.00% | 301 | 200 | 312 | 101 | 177 | 88 | 45.3% | 6.9% | 91.2% | 98.1 | DULL | |
| _Since Last GM Reset | 13 | 5 | 5 | 0 | 0 | 1 | 1 | 1 | 30 | 38 | -8 | 14 | 0.538 | 30 | 53 | 83 | 0 | 0 | 13 | 7 | 9 | 3 | 435 | 154 | 135 | 138 | 18 | 433 | 116 | 88 | 321 | 37 | 6 | 16.22% | 40 | 9 | 77.50% | 0 | 233 | 473 | 49.26% | 230 | 476 | 48.32% | 99 | 198 | 50.00% | 301 | 200 | 312 | 101 | 177 | 88 | 45.3% | 6.9% | 91.2% | 98.1 | DULL | |
| Total | 13 | 5 | 5 | 0 | 0 | 1 | 1 | 1 | 30 | 38 | -8 | 14 | 0.538 | 30 | 53 | 83 | 0 | 0 | 13 | 7 | 9 | 3 | 435 | 154 | 135 | 138 | 18 | 433 | 116 | 88 | 321 | 37 | 6 | 16.22% | 40 | 9 | 77.50% | 0 | 233 | 473 | 49.26% | 230 | 476 | 48.32% | 99 | 198 | 50.00% | 301 | 200 | 312 | 101 | 177 | 88 | 45.3% | 6.9% | 91.2% | 98.1 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 24 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 473 |
| Neutral Zone Start | 198 |
| Defensive Zone Start | 476 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 562 |
| Faceoffs Lost | 585 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.8 | 9.57 |
| 2nd Period | 22.2 | 20.31 |
| 3rd Period | 32.8 | 30.68 |
| Overtime | 34.2 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.0 | 0.64 |
| 2nd Period | 1.5 | 1.65 |
| 3rd Period | 2.2 | 2.67 |
| Overtime | 2.5 | 2.83 |
| Even Strenght Goal | 24 |
|---|---|
| PP Goal | 6 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 2 | 4 |
| Lost | 3 | 2 |
| Overtime Lost | 1 | 1 |
| PP Attempt | 37 |
|---|---|
| PP Goal | 6 |
| PK Attempt | 40 |
| PK Goal Against | 9 |
| Home | |
|---|---|
| Shots For | 33.5 |
| Shots Against | 33.3 |
| Goals For | 2.3 |
| Goals Against | 2.9 |
| Hits | 24.7 |
| Shots Blocked | 8.9 |
| Pim | 6.8 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,638,583$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Bridgeport | |
| Capacity | 3000 | |
| Season Ticket Holders | 0% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 0$ | $ | $ | $ |
| Attendance | 0 | 0 | |||
| Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
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| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
| 30 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,638,583$ | 2,638,583$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 561,334$ | 14,659$ | 405,785$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 164 | 20,214$ | 3,072,528$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 3,072,528$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
Injured
Cold Streak
Hot Streak | Left Wing | Center | Right Wing |
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| Defense #1 | Defense #2 | Goalie |
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