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Full Scoreboard »» |
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Full Scoreboard »» |
| Providence Bruins 9-4-1, 19pts · 4th 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 | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Klapka | 46 | LW/RW | 100.00 | 93 | 43 | 68 | 63 | 98 | 71 | 75 | 61 | 59 | 60 | 68 | 66 | 64 | 66 | 63 | 0 | 50 | 74 | 25 | 925,000$/1yrs | |||
Easton Cowan (R) | 7 | C/LW/RW | 100.00 | 83 | 41 | 60 | 68 | 71 | 71 | 85 | 65 | 68 | 60 | 56 | 60 | 66 | 54 | 50 | 0 | 52 | 71 | 20 | 873,500$/3yrs | |||
Liam Ohgren (R) | 29 | LW | 100.00 | 68 | 32 | 97 | 64 | 73 | 75 | 69 | 58 | 55 | 60 | 61 | 58 | 60 | 60 | 59 | 0 | 50 | 71 | 21 | 886,667$/2yrs | |||
Ryan McAllister | 23 | C | 100.00 | 62 | 38 | 88 | 58 | 70 | 67 | 68 | 62 | 66 | 58 | 59 | 65 | 58 | 65 | 63 | 0 | 40 | 70 | 23 | 896,667$/1yrs | |||
Oscar Fisker Molgaard (R) | 0 | C | 100.00 | 58 | 37 | 95 | 68 | 66 | 70 | 89 | 63 | 60 | 59 | 58 | 58 | 66 | 56 | 55 | 0 | 50 | 70 | 20 | 891,666$/3yrs | |||
Dylan Duke (R) | 0 | C/LW | 100.00 | 70 | 39 | 75 | 59 | 67 | 66 | 69 | 60 | 62 | 57 | 59 | 63 | 58 | 61 | 59 | 0 | 50 | 69 | 22 | 867,500$/2yrs | |||
Ty Mueller (R) | 0 | C | 100.00 | 63 | 38 | 87 | 58 | 71 | 65 | 67 | 60 | 66 | 60 | 56 | 63 | 58 | 61 | 60 | 0 | 48 | 69 | 22 | 870,000$/2yrs | |||
Viktor Neuchev (R) | 79 | LW/RW | 100.00 | 58 | 37 | 94 | 57 | 67 | 65 | 68 | 60 | 38 | 58 | 56 | 63 | 57 | 61 | 60 | 0 | 50 | 68 | 22 | 870,000$/1yrs | |||
William Stromgren (R) | 0 | LW/RW | 100.00 | 60 | 38 | 91 | 58 | 78 | 65 | 69 | 60 | 49 | 59 | 55 | 63 | 57 | 61 | 60 | 0 | 50 | 68 | 22 | 990,833$/1yrs | |||
Massimo Rizzo (R) | 0 | C | 100.00 | 59 | 38 | 92 | 55 | 71 | 64 | 66 | 62 | 68 | 56 | 54 | 65 | 55 | 64 | 64 | 0 | 50 | 68 | 24 | 925,000$/1yrs | |||
Niko Huuhtanen (R) | 0 | LW/RW | 100.00 | 73 | 41 | 69 | 56 | 80 | 64 | 66 | 60 | 37 | 55 | 55 | 63 | 55 | 61 | 58 | 0 | 50 | 68 | 22 | 867,500$/2yrs | |||
Tyler Thorpe (R) | 0 | RW | 100.00 | 78 | 42 | 66 | 58 | 90 | 63 | 78 | 54 | 39 | 55 | 57 | 61 | 56 | 56 | 52 | 0 | 44 | 67 | 20 | 868,333$/3yrs | |||
Gavin Brindley (R) | 0 | LW/RW | 100.00 | 64 | 38 | 84 | 55 | 63 | 63 | 66 | 59 | 41 | 55 | 54 | 63 | 54 | 59 | 57 | 0 | 50 | 66 | 21 | 950,000$/1yrs | |||
Jack Thompson (R) | 0 | D | 100.00 | 59 | 32 | 88 | 62 | 71 | 81 | 75 | 54 | 30 | 63 | 64 | 67 | 59 | 63 | 62 | 0 | 50 | 73 | 23 | 800,000$/1yrs | |||
David Jiricek | 55 | D | 100.00 | 68 | 33 | 83 | 60 | 82 | 79 | 74 | 54 | 30 | 62 | 60 | 53 | 55 | 60 | 58 | 0 | 50 | 71 | 21 | 918,333$/1yrs | |||
Samuel Johannesson (R) | 0 | D | 100.00 | 57 | 37 | 96 | 53 | 70 | 66 | 66 | 51 | 30 | 59 | 52 | 67 | 56 | 66 | 66 | 0 | 50 | 69 | 24 | 950,000$/1yrs | |||
Seamus Casey (R) | 0 | D | 100.00 | 60 | 37 | 90 | 55 | 62 | 65 | 66 | 53 | 30 | 61 | 53 | 63 | 57 | 59 | 58 | 0 | 50 | 69 | 21 | 950,000$/2yrs | |||
Viliam Kmec | 0 | D | 100.00 | 53 | 39 | 96 | 56 | 88 | 66 | 89 | 54 | 30 | 58 | 55 | 67 | 56 | 59 | 59 | 0 | 44 | 69 | 21 | 833,333$/2yrs | |||
Elias Pettersson (R) | 25 | D | 100.00 | 72 | 38 | 83 | 55 | 72 | 77 | 76 | 50 | 30 | 58 | 54 | 57 | 52 | 69 | 68 | 0 | 50 | 68 | 21 | 838,333$/2yrs | |||
| Scratches | ||||||||||||||||||||||||||
Pierrick Dube | 18 | RW | 100.00 | 71 | 39 | 73 | 59 | 69 | 67 | 73 | 62 | 41 | 58 | 61 | 65 | 60 | 65 | 62 | 0 | 26 | 70 | 24 | 800,000$/2yrs | |||
Hunter McKown | 41 | C | 100.00 | 65 | 38 | 82 | 54 | 80 | 64 | 73 | 59 | 68 | 55 | 52 | 62 | 53 | 59 | 57 | 0 | 26 | 66 | 23 | 800,000$/2yrs | |||
Ivan Morozov (R) | 17 | C | 100.00 | 73 | 40 | 69 | 51 | 77 | 61 | 75 | 62 | 73 | 51 | 50 | 65 | 50 | 62 | 59 | 0 | 26 | 66 | 25 | ||||
Hiroki Gojsic (R) | 0 | RW | 100.00 | 71 | 40 | 75 | 58 | 80 | 63 | 90 | 53 | 37 | 55 | 56 | 60 | 56 | 54 | 51 | 0 | 26 | 66 | 19 | 835,000$/3yrs | |||
Vladislav Firstov | 10 | LW | 100.00 | 70 | 39 | 75 | 51 | 72 | 60 | 67 | 61 | 45 | 49 | 51 | 64 | 50 | 61 | 58 | 0 | 26 | 65 | 24 | ||||
Jacob Gaucher | 0 | C | 100.00 | 61 | 38 | 89 | 51 | 76 | 60 | 75 | 61 | 65 | 49 | 51 | 64 | 50 | 61 | 60 | 0 | 26 | 65 | 24 | 872,500$/1yrs | |||
Jett Luchanko (R) | 0 | C | 100.00 | 65 | 39 | 82 | 57 | 71 | 61 | 90 | 52 | 66 | 55 | 53 | 58 | 54 | 52 | 50 | 0 | 26 | 64 | 19 | 942,500$/3yrs | |||
Josh Filmon (R) | 0 | LW | 100.00 | 65 | 39 | 83 | 51 | 71 | 58 | 66 | 58 | 41 | 45 | 52 | 61 | 49 | 55 | 54 | 0 | 26 | 63 | 21 | 870,000$/1yrs | |||
Alfons Freij (R) | 0 | D | 100.00 | 67 | 39 | 85 | 57 | 77 | 62 | 78 | 53 | 35 | 56 | 54 | 60 | 55 | 56 | 54 | 0 | 26 | 67 | 25 | 905,833$/3yrs | |||
Brandon Scanlin | 58 | D | 100.00 | 66 | 40 | 82 | 48 | 87 | 64 | 68 | 48 | 30 | 52 | 54 | 68 | 53 | 68 | 66 | 0 | 32 | 66 | 26 | 775,000$/1yrs | |||
William Wallinder (R) | 0 | D | 100.00 | 58 | 39 | 94 | 50 | 84 | 63 | 66 | 49 | 30 | 55 | 51 | 65 | 53 | 63 | 62 | 0 | 32 | 66 | 23 | 925,000$/1yrs | |||
Tyson Hinds (R) | 0 | D | 100.00 | 67 | 40 | 80 | 48 | 81 | 62 | 66 | 48 | 30 | 54 | 51 | 64 | 52 | 61 | 59 | 0 | 29 | 65 | 22 | 829,444$/1yrs | |||
Jake Furlong (R) | 0 | D | 100.00 | 61 | 39 | 90 | 47 | 77 | 61 | 65 | 47 | 30 | 52 | 51 | 63 | 51 | 59 | 58 | 0 | 26 | 64 | 21 | 870,833$/1yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Akira Schmid | 50 | 100.00 | 83 | 67 | 68 | 85 | 85 | 69 | 83 | 84 | 74 | 85 | 83 | 68 | 72 | 0 | 53 | 81 | 25 | 837,500$/1yrs |
Stanislav Berezhnoy | 0 | 100.00 | 77 | 75 | 73 | 88 | 64 | 75 | 77 | 77 | 75 | 75 | 77 | 62 | 70 | 0 | 53 | 79 | 22 | 975,000$/2yrs |
| Scratches | ||||||||||||||||||||
Georgy Romanov | 31 | 100.00 | 63 | 64 | 67 | 86 | 70 | 64 | 73 | 80 | 71 | 80 | 73 | 67 | 71 | 0 | 33 | 76 | 25 | 775,000$/2yrs |
Tomas Suchanek | 30 | 100.00 | 74 | 63 | 71 | 74 | 76 | 75 | 74 | 74 | 75 | 75 | 74 | 62 | 61 | 0 | 33 | 76 | 22 | 950,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jay Woodcroft | 76 | 71 | 91 | 83 | 80 | 76 | 76 | CAN | 62 | 3 | 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 | Liam Ohgren | LW | 14 | 7 | 6 | 13 | 1 | 0 | 0 | 6 | 39 | 16 | 27 | 17.95% | 5 | 21.26 | 2 | 3 | 5 | 40 | 0 | 0 | 0 | 27 | 2 | 1 | 48.28% | 87 | 0 | 0 | 1 | 0 | 0.87 | 1 | 1 | ||
| 2 | Adam Klapka | LW/RW | 14 | 6 | 4 | 10 | 2 | 14 | 0 | 62 | 75 | 22 | 59 | 8.00% | 3 | 19.99 | 2 | 3 | 5 | 39 | 0 | 0 | 0 | 15 | 1 | 0 | 51.43% | 35 | 0 | 0 | 0 | 0 | 0.71 | 1 | 1 | ||
| 3 | Jack Thompson | D | 14 | 2 | 8 | 10 | 4 | 0 | 0 | 18 | 38 | 13 | 21 | 5.26% | 17 | 24.40 | 1 | 2 | 3 | 38 | 0 | 0 | 0 | 31 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.59 | 0 | 0 | ||
| 4 | Dylan Duke | C/LW | 14 | 5 | 4 | 9 | 2 | 0 | 0 | 15 | 40 | 18 | 29 | 12.50% | 7 | 18.98 | 0 | 0 | 0 | 39 | 0 | 0 | 0 | 11 | 2 | 0 | 57.69% | 26 | 0 | 0 | 0 | 0 | 0.68 | 0 | 1 | ||
| 5 | Easton Cowan | C/LW/RW | 14 | 2 | 6 | 8 | 1 | 34 | 10 | 37 | 56 | 15 | 23 | 3.57% | 1 | 18.16 | 1 | 1 | 2 | 40 | 0 | 0 | 0 | 7 | 0 | 0 | 60.61% | 33 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
| 6 | Samuel Johannesson | D | 14 | 0 | 8 | 8 | -2 | 8 | 0 | 11 | 17 | 3 | 12 | 0.00% | 16 | 18.66 | 0 | 3 | 3 | 34 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | ||
| 7 | Ryan McAllister | C | 14 | 2 | 5 | 7 | 1 | 0 | 0 | 1 | 39 | 15 | 35 | 5.13% | 5 | 18.23 | 0 | 0 | 0 | 40 | 0 | 0 | 0 | 6 | 0 | 1 | 54.47% | 347 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
| 8 | Ty Mueller | C | 14 | 3 | 4 | 7 | -2 | 2 | 0 | 0 | 28 | 8 | 28 | 10.71% | 4 | 16.02 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 52.33% | 300 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | ||
| 9 | Massimo Rizzo | C | 14 | 4 | 2 | 6 | 2 | 0 | 0 | 6 | 14 | 6 | 8 | 28.57% | 4 | 11.89 | 4 | 2 | 6 | 40 | 0 | 0 | 0 | 32 | 1 | 0 | 52.25% | 178 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | ||
| 10 | Seamus Casey | D | 14 | 0 | 6 | 6 | -1 | 2 | 0 | 14 | 15 | 8 | 11 | 0.00% | 23 | 21.00 | 0 | 3 | 3 | 43 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
| 11 | Elias Pettersson | D | 14 | 0 | 5 | 5 | 4 | 12 | 0 | 48 | 10 | 3 | 7 | 0.00% | 23 | 21.38 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
| 12 | Oscar Fisker Molgaard | C | 14 | 2 | 3 | 5 | -2 | 2 | 0 | 4 | 42 | 14 | 26 | 4.76% | 1 | 15.45 | 0 | 1 | 1 | 40 | 0 | 0 | 0 | 0 | 0 | 1 | 48.37% | 215 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | ||
| 13 | Viliam Kmec | D | 12 | 2 | 3 | 5 | -3 | 2 | 0 | 13 | 4 | 0 | 7 | 50.00% | 8 | 14.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.56 | 0 | 0 | ||
| 14 | Niko Huuhtanen | LW/RW | 14 | 1 | 3 | 4 | -2 | 6 | 0 | 35 | 26 | 14 | 20 | 3.85% | 5 | 12.88 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35.71% | 14 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | ||
| 15 | William Stromgren | LW/RW | 14 | 2 | 1 | 3 | -2 | 0 | 0 | 4 | 33 | 6 | 14 | 6.06% | 0 | 12.86 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 14 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | ||
| 16 | Gavin Brindley | LW/RW | 14 | 2 | 1 | 3 | 2 | 0 | 0 | 6 | 9 | 1 | 9 | 22.22% | 3 | 6.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 5 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | ||
| 17 | Viktor Neuchev | LW/RW | 14 | 1 | 1 | 2 | 1 | 0 | 0 | 10 | 19 | 6 | 10 | 5.26% | 1 | 7.69 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0.37 | 0 | 0 | ||
| 18 | Brandon Scanlin | D | 2 | 0 | 1 | 1 | 1 | 2 | 0 | 5 | 0 | 0 | 1 | 0.00% | 2 | 17.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | ||
| 19 | David Jiricek | D | 14 | 0 | 1 | 1 | -1 | 8 | 0 | 18 | 6 | 2 | 9 | 0.00% | 7 | 14.84 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 6 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.10 | 0 | 0 | ||
| 20 | William Wallinder | D | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 2 | 0.00% | 1 | 20.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| 21 | Tyler Thorpe | RW | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
| Team Total or Average | 266 | 41 | 72 | 113 | 7 | 92 | 10 | 314 | 511 | 170 | 358 | 8.02% | 136 | 15.72 | 10 | 18 | 28 | 420 | 0 | 0 | 0 | 202 | 8 | 3 | 51.83% | 1258 | 0 | 0 | 1 | 0 | 0.54 | 2 | 3 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Stanislav Berezhnoy | 7 | 5 | 1 | 1 | 0.930 | 2.25 | 427 | 0 | 0 | 16 | 227 | 0 | 1 | 0 | 1.000 | 2 | 7 | 7 | 0 | 2 | 0 | |
| 2 | Akira Schmid | 7 | 4 | 3 | 0 | 0.927 | 2.54 | 425 | 0 | 0 | 18 | 245 | 0 | 0 | 0 | 0.000 | 0 | 7 | 7 | 1 | 1 | 0 | |
| Team Total or Average | 14 | 9 | 4 | 1 | 0.928 | 2.39 | 853 | 0 | 0 | 34 | 472 | 0 | 1 | 0 | 1.000 | 2 | 14 | 14 | 1 | 3 | 0 |
| Player Name | POS | Age | Cap Hit | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Klapka | LW/RW | 25 | 925,000$ | 925,000$ | |||||||
| Akira Schmid | G | 25 | 837,500$ | 837,500$ | |||||||
| Alfons Freij | D | 25 | 905,833$ | 905,833$ | 905,833$ | 905,833$ | UFA | ||||
| Brandon Scanlin | D | 26 | 775,000$ | 775,000$ | |||||||
| David Jiricek | D | 21 | 918,333$ | 918,333$ | RFA | ||||||
| Dylan Duke | C/LW | 22 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
| Easton Cowan | C/LW/RW | 20 | 873,500$ | 873,500$ | 873,500$ | 873,500$ | RFA | ||||
| Elias Pettersson | D | 21 | 838,333$ | 838,333$ | 838,333$ | RFA | |||||
| Elias Pettersson | C/LW/RW | 21 | 838,333$ | 838,333$ | 838,333$ | RFA | |||||
| Gavin Brindley | LW/RW | 21 | 950,000$ | 950,000$ | RFA | ||||||
| Georgy Romanov | G | 25 | 775,000$ | 775,000$ | 775,000$ | ||||||
| Hiroki Gojsic | RW | 19 | 835,000$ | 835,000$ | 835,000$ | 835,000$ | RFA | ||||
| Hunter McKown | C | 23 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Ivan Morozov | C | 25 | 0$ | ||||||||
| Jack Thompson | D | 23 | 800,000$ | 800,000$ | RFA | ||||||
| Jacob Gaucher | C | 24 | 872,500$ | 872,500$ | |||||||
| Jake Furlong | D | 21 | 870,833$ | 870,833$ | RFA | ||||||
| Jett Luchanko | C | 19 | 942,500$ | 942,500$ | 942,500$ | 942,500$ | RFA | ||||
| Josh Filmon | LW | 21 | 870,000$ | 870,000$ | RFA | ||||||
| Liam Ohgren | LW | 21 | 886,667$ | 886,667$ | 886,667$ | RFA | |||||
| Massimo Rizzo | C | 24 | 925,000$ | 925,000$ | |||||||
| Niko Huuhtanen | LW/RW | 22 | 867,500$ | 867,500$ | 867,500$ | RFA | |||||
| Oscar Fisker Molgaard | C | 20 | 891,666$ | 891,666$ | 891,666$ | 891,666$ | RFA | ||||
| Pierrick Dube | RW | 24 | 800,000$ | 800,000$ | 800,000$ | ||||||
| Ryan McAllister | C | 23 | 896,667$ | 896,667$ | RFA | ||||||
| Samuel Johannesson | D | 24 | 950,000$ | 950,000$ | |||||||
| Seamus Casey | D | 21 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
| Stanislav Berezhnoy | G | 22 | 975,000$ | 975,000$ | 975,000$ | RFA | |||||
| Tomas Suchanek | G | 22 | 950,000$ | 950,000$ | 950,000$ | RFA | |||||
| Ty Mueller | C | 22 | 870,000$ | 870,000$ | 870,000$ | RFA | |||||
| Tyler Thorpe | RW | 20 | 868,333$ | 868,333$ | 868,333$ | 868,333$ | RFA | ||||
| Tyson Hinds | D | 22 | 829,444$ | 829,444$ | RFA | ||||||
| Viktor Neuchev | LW/RW | 22 | 870,000$ | 870,000$ | RFA | ||||||
| Viliam Kmec | D | 21 | 833,333$ | 833,333$ | 833,333$ | RFA | |||||
| Vladislav Firstov | LW | 24 | 0$ | ||||||||
| William Stromgren | LW/RW | 22 | 990,833$ | 900,833$ | RFA | ||||||
| William Wallinder | D | 23 | 925,000$ | 925,000$ | RFA |
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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 | 5 | 8 | -3 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 20 | 9 | 10 | 4 | 59 | 195 | 148 | 159 | 12 | 80 | 17 | 15 | 49 | 6 | 2 | 33.33% | 5 | 1 | 80.00% | 0 | 293 | 549 | 53.37% | 249 | 485 | 51.34% | 110 | 208 | 52.88% | 347 | 239 | 321 | 103 | 184 | 92 | 30.0% | 8.5% | 90.0% | 98.5 | Unlucky | |
| 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 20 | 9 | 10 | 4 | 18 | 195 | 148 | 159 | 12 | 42 | 10 | 6 | 21 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 293 | 549 | 53.37% | 249 | 485 | 51.34% | 110 | 208 | 52.88% | 347 | 239 | 321 | 103 | 184 | 92 | 40.0% | 11.1% | 92.9% | 104.0 | LUCKY | |
| 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 20 | 9 | 10 | 4 | 33 | 195 | 148 | 159 | 12 | 35 | 7 | 6 | 24 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 293 | 549 | 53.37% | 249 | 485 | 51.34% | 110 | 208 | 52.88% | 347 | 239 | 321 | 103 | 184 | 92 | 33.3% | 3.0% | 91.4% | 94.5 | DULL | |
| 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 20 | 9 | 10 | 4 | 90 | 195 | 148 | 159 | 12 | 58 | 21 | 25 | 43 | 6 | 2 | 33.33% | 3 | 0 | 100.00% | 0 | 293 | 549 | 53.37% | 249 | 485 | 51.34% | 110 | 208 | 52.88% | 347 | 239 | 321 | 103 | 184 | 92 | 57.1% | 6.7% | 94.8% | 101.5 | DULL | |
| 5 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 3 | 5 | 0 | 0 | 20 | 9 | 10 | 4 | 43 | 195 | 148 | 159 | 12 | 39 | 9 | 0 | 26 | 6 | 1 | 16.67% | 0 | 0 | 0.00% | 0 | 293 | 549 | 53.37% | 249 | 485 | 51.34% | 110 | 208 | 52.88% | 347 | 239 | 321 | 103 | 184 | 92 | 25.0% | 4.7% | 92.3% | 97.0 | DULL | |
| 6 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 4 | 1.000 | 7 | 13 | 20 | 0 | 0 | 20 | 9 | 10 | 4 | 63 | 195 | 148 | 159 | 12 | 69 | 26 | 14 | 46 | 6 | 2 | 33.33% | 7 | 1 | 85.71% | 0 | 293 | 549 | 53.37% | 249 | 485 | 51.34% | 110 | 208 | 52.88% | 347 | 239 | 321 | 103 | 184 | 92 | 62.5% | 11.1% | 94.2% | 105.3 | LUCKY | |
| 7 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1.000 | 6 | 9 | 15 | 0 | 0 | 20 | 9 | 10 | 4 | 51 | 195 | 148 | 159 | 12 | 26 | 13 | 6 | 26 | 7 | 3 | 42.86% | 3 | 1 | 66.67% | 0 | 293 | 549 | 53.37% | 249 | 485 | 51.34% | 110 | 208 | 52.88% | 347 | 239 | 321 | 103 | 184 | 92 | 60.0% | 11.8% | 88.5% | 100.2 | FUN | |
| 8 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 20 | 9 | 10 | 4 | 40 | 195 | 148 | 159 | 12 | 39 | 11 | 8 | 14 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 293 | 549 | 53.37% | 249 | 485 | 51.34% | 110 | 208 | 52.88% | 347 | 239 | 321 | 103 | 184 | 92 | 55.6% | 12.5% | 89.7% | 102.2 | FUN | |
| 9 | 3 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 8 | 3 | 5 | 6 | 1.000 | 8 | 12 | 20 | 0 | 0 | 20 | 9 | 10 | 4 | 114 | 195 | 148 | 159 | 12 | 84 | 22 | 12 | 65 | 10 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 293 | 549 | 53.37% | 249 | 485 | 51.34% | 110 | 208 | 52.88% | 347 | 239 | 321 | 103 | 184 | 92 | 80.0% | 7.0% | 96.4% | 103.4 | DULL | |
| _Vs Division | 3 | 5 | 4 | 0 | 2 | 0 | 1 | 0 | 13 | 10 | 3 | 16 | 2.667 | 13 | 21 | 34 | 0 | 0 | 20 | 9 | 10 | 4 | 134 | 195 | 148 | 159 | 12 | 104 | 33 | 14 | 66 | 15 | 4 | 26.67% | 7 | 1 | 85.71% | 0 | 293 | 549 | 53.37% | 249 | 485 | 51.34% | 110 | 208 | 52.88% | 347 | 239 | 321 | 103 | 184 | 92 | 50.0% | 9.7% | 90.4% | 100.1 | FUN | |
| _Vs Conference | 14 | 6 | 4 | 0 | 2 | 1 | 1 | 0 | 42 | 34 | 8 | 19 | 0.679 | 42 | 72 | 114 | 0 | 0 | 20 | 9 | 10 | 4 | 511 | 195 | 148 | 159 | 12 | 472 | 136 | 92 | 314 | 48 | 10 | 20.83% | 31 | 5 | 83.87% | 0 | 293 | 549 | 53.37% | 249 | 485 | 51.34% | 110 | 208 | 52.88% | 347 | 239 | 321 | 103 | 184 | 92 | 52.5% | 8.2% | 92.8% | 101.0 | DULL | |
| _Since Last GM Reset | 14 | 6 | 4 | 0 | 2 | 1 | 1 | 0 | 42 | 34 | 8 | 19 | 0.679 | 42 | 72 | 114 | 0 | 0 | 20 | 9 | 10 | 4 | 511 | 195 | 148 | 159 | 12 | 472 | 136 | 92 | 314 | 48 | 10 | 20.83% | 31 | 5 | 83.87% | 0 | 293 | 549 | 53.37% | 249 | 485 | 51.34% | 110 | 208 | 52.88% | 347 | 239 | 321 | 103 | 184 | 92 | 52.5% | 8.2% | 92.8% | 101.0 | DULL | |
| Total | 14 | 6 | 4 | 0 | 2 | 1 | 1 | 0 | 42 | 34 | 8 | 19 | 0.679 | 42 | 72 | 114 | 0 | 0 | 20 | 9 | 10 | 4 | 511 | 195 | 148 | 159 | 12 | 472 | 136 | 92 | 314 | 48 | 10 | 20.83% | 31 | 5 | 83.87% | 0 | 293 | 549 | 53.37% | 249 | 485 | 51.34% | 110 | 208 | 52.88% | 347 | 239 | 321 | 103 | 184 | 92 | 52.5% | 8.2% | 92.8% | 101.0 | DULL |
| Puck Time | |
|---|---|
| Offensive Zone | 24 |
| Neutral Zone | 13 |
| Defensive Zone | 22 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 549 |
| Neutral Zone Start | 208 |
| Defensive Zone Start | 485 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 652 |
| Faceoffs Lost | 590 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 13.9 | 9.57 |
| 2nd Period | 24.5 | 20.31 |
| 3rd Period | 35.9 | 30.68 |
| Overtime | 36.7 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.4 | 0.64 |
| 2nd Period | 2.1 | 1.65 |
| 3rd Period | 2.8 | 2.67 |
| Overtime | 3.1 | 2.83 |
| Even Strenght Goal | 32 |
|---|---|
| PP Goal | 10 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 5 | 4 |
| Lost | 2 | 2 |
| Overtime Lost | 0 | 1 |
| PP Attempt | 48 |
|---|---|
| PP Goal | 10 |
| PK Attempt | 31 |
| PK Goal Against | 5 |
| Home | |
|---|---|
| Shots For | 36.5 |
| Shots Against | 33.7 |
| Goals For | 3.0 |
| Goals Against | 2.4 |
| Hits | 22.4 |
| Shots Blocked | 9.7 |
| Pim | 6.6 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2025-10-09 | @ | Thunderbirds1,Bruins3 | RECAP | |||||||||||
| 2025-10-10 | @ | Bruins2,Penguins1 (OT) | RECAP | |||||||||||
| 2025-10-13 | @ | Bruins5,Checkers4 (OT) | RECAP | |||||||||||
| 2025-10-16 | @ | Bears1,Bruins2 | RECAP | |||||||||||
| 2025-10-18 | @ | Bruins1,Phantoms3 | RECAP | |||||||||||
| 2025-10-19 | @ | Islanders3,Bruins2 | RECAP | |||||||||||
| 2025-10-21 | @ | Bruins1,Wolf Pack3 | RECAP | |||||||||||
| 2025-10-23 | @ | Bruins2,Penguins1 (SO) | RECAP | |||||||||||
| 2025-10-25 | @ | Penguins1,Bruins4 | RECAP | |||||||||||
| 2025-10-27 | @ | Americans3,Bruins6 | RECAP | |||||||||||
| 2025-10-30 | @ | Thunderbirds3,Bruins4 | RECAP | |||||||||||
| 2025-10-31 | @ | Bruins4,Bears2 | RECAP | |||||||||||
| 2025-11-01 | @ | Bruins2,Crunch3 (OT) | RECAP | |||||||||||
| 2025-11-05 | @ | Phantoms5,Bruins4 | RECAP | |||||||||||
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| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,814,043$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Providence | |
| 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 |
| 29 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,814,043$ | 2,814,043$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 682,272$ | 15,634$ | 504,508$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 160 | 21,189$ | 3,135,972$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 3,135,972$ | 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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