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Full Scoreboard »» |
Providence Bruins 4-0-0, 8pts · 1st 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 | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 46 | LW/RW | 99.00 | 93 | 43 | 68 | 63 | 98 | 71 | 75 | 61 | 59 | 60 | 68 | 66 | 64 | 66 | 63 | 0 | 47 | 74 | 25 | 925,000$/1yrs | |||
![]() | 7 | C/LW/RW | 100.00 | 83 | 41 | 60 | 68 | 71 | 71 | 85 | 65 | 68 | 60 | 56 | 60 | 66 | 54 | 50 | 0 | 46 | 71 | 20 | 873,500$/3yrs | |||
![]() | 29 | LW | 100.00 | 68 | 32 | 97 | 64 | 73 | 75 | 69 | 58 | 55 | 60 | 61 | 58 | 60 | 60 | 59 | 0 | 47 | 71 | 21 | 886,667$/2yrs | |||
![]() | 23 | C | 100.00 | 62 | 38 | 88 | 58 | 70 | 67 | 68 | 62 | 66 | 58 | 59 | 65 | 58 | 65 | 63 | 0 | 37 | 70 | 23 | 896,667$/1yrs | |||
![]() | 0 | C | 100.00 | 58 | 37 | 95 | 68 | 66 | 70 | 89 | 63 | 60 | 59 | 58 | 58 | 66 | 56 | 55 | 0 | 47 | 70 | 20 | 891,666$/3yrs | |||
![]() | 0 | C/LW | 100.00 | 70 | 39 | 75 | 59 | 67 | 66 | 69 | 60 | 62 | 57 | 59 | 63 | 58 | 61 | 59 | 0 | 47 | 69 | 22 | 867,500$/2yrs | |||
![]() | 0 | C | 100.00 | 63 | 38 | 87 | 58 | 71 | 65 | 67 | 60 | 66 | 60 | 56 | 63 | 58 | 61 | 60 | 0 | 45 | 69 | 22 | 870,000$/2yrs | |||
![]() | 79 | LW/RW | 100.00 | 58 | 37 | 94 | 57 | 67 | 65 | 68 | 60 | 38 | 58 | 56 | 63 | 57 | 61 | 60 | 0 | 47 | 68 | 21 | 870,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 60 | 38 | 91 | 58 | 78 | 65 | 69 | 60 | 49 | 59 | 55 | 63 | 57 | 61 | 60 | 0 | 47 | 68 | 22 | 990,833$/1yrs | |||
![]() | 0 | C | 100.00 | 59 | 38 | 92 | 55 | 71 | 64 | 66 | 62 | 68 | 56 | 54 | 65 | 55 | 64 | 64 | 0 | 47 | 68 | 24 | 925,000$/1yrs | |||
![]() | 0 | LW/RW | 100.00 | 73 | 41 | 69 | 56 | 80 | 64 | 66 | 60 | 37 | 55 | 55 | 63 | 55 | 61 | 58 | 0 | 47 | 68 | 22 | 867,500$/2yrs | |||
![]() | 0 | RW | 100.00 | 78 | 42 | 66 | 58 | 90 | 63 | 78 | 54 | 39 | 55 | 57 | 61 | 56 | 56 | 52 | 0 | 42 | 67 | 20 | 868,333$/3yrs | |||
![]() | 0 | LW/RW | 100.00 | 64 | 38 | 84 | 55 | 63 | 63 | 66 | 59 | 41 | 55 | 54 | 63 | 54 | 59 | 57 | 0 | 47 | 66 | 21 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 59 | 32 | 88 | 62 | 71 | 81 | 75 | 54 | 30 | 63 | 64 | 67 | 59 | 63 | 62 | 0 | 47 | 73 | 23 | 800,000$/1yrs | |||
![]() | 55 | D | 100.00 | 68 | 33 | 83 | 60 | 82 | 79 | 74 | 54 | 30 | 62 | 60 | 53 | 55 | 60 | 58 | 0 | 47 | 71 | 21 | 918,333$/1yrs | |||
![]() | 25 | D | 100.00 | 72 | 40 | 79 | 60 | 72 | 76 | 74 | 56 | 30 | 56 | 55 | 62 | 62 | 58 | 57 | 0 | 47 | 69 | 21 | 838,333$/2yrs | |||
![]() | 0 | D | 100.00 | 57 | 37 | 96 | 53 | 70 | 66 | 66 | 51 | 30 | 59 | 52 | 67 | 56 | 66 | 66 | 0 | 47 | 69 | 24 | 950,000$/1yrs | |||
![]() | 0 | D | 100.00 | 60 | 37 | 90 | 55 | 62 | 65 | 66 | 53 | 30 | 61 | 53 | 63 | 57 | 59 | 58 | 0 | 47 | 69 | 21 | 950,000$/2yrs | |||
![]() | 0 | D | 100.00 | 53 | 39 | 96 | 56 | 88 | 66 | 89 | 54 | 30 | 58 | 55 | 67 | 56 | 59 | 59 | 0 | 42 | 69 | 21 | 833,333$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
![]() | 18 | RW | 100.00 | 71 | 39 | 73 | 59 | 69 | 67 | 73 | 62 | 41 | 58 | 61 | 65 | 60 | 65 | 62 | 0 | 36 | 70 | 24 | 800,000$/2yrs | |||
![]() | 41 | C | 100.00 | 65 | 38 | 82 | 54 | 80 | 64 | 73 | 59 | 68 | 55 | 52 | 62 | 53 | 59 | 57 | 0 | 36 | 66 | 23 | 800,000$/2yrs | |||
![]() | 17 | C | 100.00 | 73 | 40 | 69 | 51 | 77 | 61 | 75 | 62 | 73 | 51 | 50 | 65 | 50 | 62 | 59 | 0 | 36 | 66 | 25 | ||||
![]() | 0 | RW | 100.00 | 71 | 40 | 75 | 58 | 80 | 63 | 90 | 53 | 37 | 55 | 56 | 60 | 56 | 54 | 51 | 0 | 36 | 66 | 19 | 835,000$/3yrs | |||
![]() | 10 | LW | 100.00 | 70 | 39 | 75 | 51 | 72 | 60 | 67 | 61 | 45 | 49 | 51 | 64 | 50 | 61 | 58 | 0 | 36 | 65 | 24 | ||||
![]() | 0 | C | 100.00 | 61 | 38 | 89 | 51 | 76 | 60 | 75 | 61 | 65 | 49 | 51 | 64 | 50 | 61 | 60 | 0 | 36 | 65 | 24 | 872,500$/1yrs | |||
![]() | 0 | C | 100.00 | 65 | 39 | 82 | 57 | 71 | 61 | 90 | 52 | 66 | 55 | 53 | 58 | 54 | 52 | 50 | 0 | 36 | 64 | 19 | 942,500$/3yrs | |||
![]() | 0 | LW | 100.00 | 65 | 39 | 83 | 51 | 71 | 58 | 66 | 58 | 41 | 45 | 52 | 61 | 49 | 55 | 54 | 0 | 36 | 63 | 21 | 870,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 39 | 85 | 57 | 77 | 62 | 78 | 53 | 35 | 56 | 54 | 60 | 55 | 56 | 54 | 0 | 36 | 67 | 25 | 905,833$/3yrs | |||
![]() | 58 | D | 100.00 | 66 | 40 | 82 | 48 | 87 | 64 | 68 | 48 | 30 | 52 | 54 | 68 | 53 | 68 | 66 | 0 | 42 | 66 | 26 | 775,000$/1yrs | |||
![]() | 0 | D | 100.00 | 58 | 39 | 94 | 50 | 84 | 63 | 66 | 49 | 30 | 55 | 51 | 65 | 53 | 63 | 62 | 0 | 42 | 66 | 23 | 925,000$/1yrs | |||
![]() | 0 | D | 100.00 | 67 | 40 | 80 | 48 | 81 | 62 | 66 | 48 | 30 | 54 | 51 | 64 | 52 | 61 | 59 | 0 | 39 | 65 | 22 | 829,444$/1yrs | |||
![]() | 0 | D | 100.00 | 61 | 39 | 90 | 47 | 77 | 61 | 65 | 47 | 30 | 52 | 51 | 63 | 51 | 59 | 58 | 0 | 36 | 64 | 21 | 870,833$/1yrs |
Priority | Type | Description |
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
![]() | 50 | 98.00 | 71 | 69 | 69 | 85 | 78 | 73 | 79 | 83 | 77 | 83 | 79 | 67 | 71 | 0 | 48 | 80 | 25 | 837,500$/1yrs |
![]() | 0 | 100.00 | 77 | 75 | 73 | 88 | 64 | 75 | 77 | 77 | 75 | 75 | 77 | 62 | 70 | 0 | 48 | 79 | 22 | 975,000$/2yrs |
Scratches | ||||||||||||||||||||
![]() | 31 | 100.00 | 63 | 64 | 67 | 86 | 70 | 64 | 73 | 80 | 71 | 80 | 73 | 67 | 71 | 0 | 38 | 76 | 25 | 775,000$/2yrs |
![]() | 30 | 100.00 | 74 | 63 | 71 | 74 | 76 | 75 | 74 | 74 | 75 | 75 | 74 | 62 | 61 | 0 | 38 | 76 | 22 | 950,000$/2yrs |
![]() | 0 | 100.00 | 73 | 82 | 69 | 81 | 64 | 72 | 72 | 73 | 72 | 73 | 73 | 58 | 67 | 0 | 38 | 76 | 20 | 829,167$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jay Woodcroft | 76 | 71 | 91 | 83 | 80 | 76 | 76 | CAN | 62 | 3 | 1,000,000$ |
General Manager |
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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 | 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 | 4 | 4 | 3 | 7 | 3 | 0 | 0 | 0 | 14 | 6 | 11 | 28.57% | 2 | 21.12 | 1 | 1 | 2 | 8 | 0 | 0 | 0 | 5 | 1 | 1 | 41.18% | 17 | 0 | 0 | 0 | 0 | 1.66 | 0 | 0 | ||
2 | Dylan Duke | C/LW | 4 | 4 | 1 | 5 | 4 | 0 | 0 | 3 | 10 | 8 | 9 | 40.00% | 1 | 18.16 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 4 | 2 | 0 | 60.00% | 10 | 0 | 0 | 0 | 0 | 1.38 | 0 | 0 | ||
3 | Ty Mueller | C | 4 | 1 | 3 | 4 | 1 | 2 | 0 | 0 | 8 | 4 | 9 | 12.50% | 0 | 16.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51.65% | 91 | 0 | 0 | 0 | 0 | 1.18 | 0 | 0 | ||
4 | Easton Cowan | C/LW/RW | 4 | 0 | 3 | 3 | 3 | 19 | 5 | 6 | 8 | 2 | 4 | 0.00% | 0 | 15.79 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 8 | 0 | 0 | 0 | 0 | 0.95 | 0 | 0 | ||
5 | Adam Klapka | LW/RW | 4 | 2 | 1 | 3 | 3 | 6 | 0 | 17 | 26 | 9 | 19 | 7.69% | 1 | 20.50 | 1 | 1 | 2 | 7 | 0 | 0 | 0 | 5 | 1 | 0 | 61.54% | 13 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | ||
6 | Jack Thompson | D | 4 | 0 | 2 | 2 | 2 | 0 | 0 | 7 | 12 | 4 | 9 | 0.00% | 5 | 24.25 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | ||
7 | Ryan McAllister | C | 4 | 0 | 2 | 2 | 2 | 0 | 0 | 0 | 13 | 7 | 7 | 0.00% | 2 | 18.24 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 5 | 0 | 0 | 62.11% | 95 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
8 | Elias Pettersson | D | 4 | 0 | 2 | 2 | 2 | 0 | 0 | 10 | 1 | 1 | 4 | 0.00% | 4 | 22.02 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | ||
9 | Samuel Johannesson | D | 4 | 0 | 2 | 2 | 0 | 2 | 0 | 0 | 7 | 1 | 1 | 0.00% | 4 | 18.16 | 0 | 1 | 1 | 6 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | ||
10 | 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 | ||
11 | Seamus Casey | D | 4 | 0 | 1 | 1 | 1 | 0 | 0 | 8 | 3 | 1 | 2 | 0.00% | 9 | 21.04 | 0 | 1 | 1 | 9 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.24 | 0 | 0 | ||
12 | Viliam Kmec | D | 2 | 1 | 0 | 1 | -1 | 2 | 0 | 5 | 1 | 0 | 3 | 100.00% | 1 | 15.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | ||
13 | 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 | ||
14 | Viktor Neuchev | LW/RW | 4 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 8 | 0 | 4 | 0.00% | 0 | 8.85 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 1 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
15 | David Jiricek | D | 4 | 0 | 0 | 0 | 0 | 2 | 0 | 3 | 2 | 0 | 5 | 0.00% | 0 | 8.93 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
16 | William Stromgren | LW/RW | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 16 | 4 | 5 | 0.00% | 0 | 13.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
17 | Gavin Brindley | LW/RW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 3 | 0.00% | 2 | 7.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
18 | Massimo Rizzo | C | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 1 | 2 | 0.00% | 2 | 11.28 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 10 | 0 | 0 | 52.38% | 42 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
19 | Niko Huuhtanen | LW/RW | 4 | 0 | 0 | 0 | -2 | 2 | 0 | 7 | 7 | 8 | 8 | 0.00% | 1 | 12.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
20 | Oscar Fisker Molgaard | C | 4 | 0 | 0 | 0 | -2 | 2 | 0 | 0 | 16 | 5 | 8 | 0.00% | 1 | 14.71 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 59.32% | 59 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | ||
21 | Tyler Thorpe | RW | 2 | 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 | 76 | 12 | 21 | 33 | 15 | 39 | 5 | 80 | 156 | 61 | 116 | 7.69% | 38 | 15.76 | 2 | 4 | 6 | 82 | 0 | 0 | 0 | 69 | 4 | 1 | 55.43% | 341 | 0 | 0 | 0 | 0 | 0.55 | 0 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Akira Schmid | 4 | 4 | 0 | 0 | 0.943 | 1.71 | 245 | 0 | 0 | 7 | 123 | 0 | 0 | 0 | 0.000 | 0 | 4 | 0 | 1 | 1 | 0 | |
Team Total or Average | 4 | 4 | 0 | 0 | 0.943 | 1.71 | 245 | 0 | 0 | 7 | 123 | 0 | 0 | 0 | 0.000 | 0 | 4 | 0 | 1 | 1 | 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 | ||||||
Jackson Parsons | G | 20 | 829,167$ | 829,167$ | 829,167$ | 829,167$ | 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 | 21 | 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 |
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1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 7 | 1 | 2 | 2 | 47 | 67 | 38 | 48 | 3 | 23 | 10 | 19 | 23 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 80 | 150 | 53.33% | 73 | 133 | 54.89% | 36 | 54 | 66.67% | 103 | 72 | 90 | 29 | 52 | 25 | 50.0% | 4.3% | 95.7% | 99.9 | DULL | |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 7 | 1 | 2 | 2 | 32 | 67 | 38 | 48 | 3 | 29 | 8 | 8 | 18 | 3 | 1 | 33.33% | 4 | 1 | 75.00% | 0 | 80 | 150 | 53.33% | 73 | 133 | 54.89% | 36 | 54 | 66.67% | 103 | 72 | 90 | 29 | 52 | 25 | 100.0% | 9.4% | 96.6% | 105.9 | LUCKY | |
3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 7 | 1 | 2 | 2 | 40 | 67 | 38 | 48 | 3 | 39 | 11 | 8 | 14 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 80 | 150 | 53.33% | 73 | 133 | 54.89% | 36 | 54 | 66.67% | 103 | 72 | 90 | 29 | 52 | 25 | 55.6% | 12.5% | 89.7% | 102.2 | FUN | |
4 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 7 | 1 | 2 | 2 | 37 | 67 | 38 | 48 | 3 | 32 | 9 | 4 | 25 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 80 | 150 | 53.33% | 73 | 133 | 54.89% | 36 | 54 | 66.67% | 103 | 72 | 90 | 29 | 52 | 25 | 66.7% | 5.4% | 96.9% | 102.3 | DULL | |
_Vs Division | 1 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 5 | 4 | 1 | 8 | 4.000 | 5 | 9 | 14 | 0 | 0 | 7 | 1 | 2 | 2 | 40 | 67 | 38 | 48 | 3 | 39 | 11 | 8 | 14 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 80 | 150 | 53.33% | 73 | 133 | 54.89% | 36 | 54 | 66.67% | 103 | 72 | 90 | 29 | 52 | 25 | 55.6% | 12.5% | 89.7% | 102.2 | FUN | |
_Vs Conference | 4 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 12 | 7 | 5 | 8 | 1.000 | 12 | 21 | 33 | 0 | 0 | 7 | 1 | 2 | 2 | 156 | 67 | 38 | 48 | 3 | 123 | 38 | 39 | 80 | 9 | 2 | 22.22% | 10 | 1 | 90.00% | 0 | 80 | 150 | 53.33% | 73 | 133 | 54.89% | 36 | 54 | 66.67% | 103 | 72 | 90 | 29 | 52 | 25 | 62.5% | 7.7% | 94.3% | 102.0 | DULL | |
_Since Last GM Reset | 4 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 12 | 7 | 5 | 8 | 1.000 | 12 | 21 | 33 | 0 | 0 | 7 | 1 | 2 | 2 | 156 | 67 | 38 | 48 | 3 | 123 | 38 | 39 | 80 | 9 | 2 | 22.22% | 10 | 1 | 90.00% | 0 | 80 | 150 | 53.33% | 73 | 133 | 54.89% | 36 | 54 | 66.67% | 103 | 72 | 90 | 29 | 52 | 25 | 62.5% | 7.7% | 94.3% | 102.0 | DULL | |
Total | 4 | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 12 | 7 | 5 | 8 | 1.000 | 12 | 21 | 33 | 0 | 0 | 7 | 1 | 2 | 2 | 156 | 67 | 38 | 48 | 3 | 123 | 38 | 39 | 80 | 9 | 2 | 22.22% | 10 | 1 | 90.00% | 0 | 80 | 150 | 53.33% | 73 | 133 | 54.89% | 36 | 54 | 66.67% | 103 | 72 | 90 | 29 | 52 | 25 | 62.5% | 7.7% | 94.3% | 102.0 | DULL |
Puck Time | |
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Offensive Zone | 25 |
Neutral Zone | 13 |
Defensive Zone | 22 |
Puck Time | |
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Offensive Zone Start | 150 |
Neutral Zone Start | 54 |
Defensive Zone Start | 133 |
Puck Time | |
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With Puck | 31 |
Without Puck | 29 |
Faceoffs | |
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Faceoffs Won | 189 |
Faceoffs Lost | 148 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 16.8 | 9.57 |
2nd Period | 26.3 | 20.31 |
3rd Period | 38.3 | 30.68 |
Overtime | 39.0 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.8 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.5 | 2.67 |
Overtime | 3.0 | 2.83 |
Even Strenght Goal | 10 |
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PP Goal | 2 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
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Win | 2 | 2 |
Lost | 0 | 0 |
Overtime Lost | 0 | 0 |
PP Attempt | 9 |
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PP Goal | 2 |
PK Attempt | 10 |
PK Goal Against | 1 |
Home | |
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Shots For | 39.0 |
Shots Against | 30.8 |
Goals For | 3.0 |
Goals Against | 1.8 |
Hits | 20.0 |
Shots Blocked | 9.5 |
Pim | 9.8 |
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2025-10-09 | @ | Thunderbirds1,Bruins3 | RECAP | |||||||||||
2025-10-10 | @ | Bruins2,Penguins1 (OT) | RECAP | |||||||||||
2025-10-13 | @ | Bruins5,Checkers4 (OT) | RECAP | |||||||||||
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Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
2,896,960$ | 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 |
34 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
2,896,960$ | 2,896,960$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
216,200$ | 16,094$ | 160,647$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 182 | 21,650$ | 3,680,500$ |
Team Total Estimate | |||
---|---|---|---|
Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
3,680,500$ | 0$ | 0$ | 0$ |
Sponsors | |||
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TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Left Wing | Center | Right Wing |
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Defense #1 | Defense #2 | Goalie |
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