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Full Scoreboard »» |
![]() | Providence Bruins 15-11-4, 34pts · 10th in Conference 1 |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Jeff Malott | 0 | LW | 99.00 | 64 | 52 | 59 | 65 | 67 | 70 | 68 | 66 | 45 | 64 | 62 | 64 | 64 | 57 | 51 | 1 | 50 | 63 | 28 | 1,000,000$/1yrs | |||
Rasmus Asplund | 0 | C | 99.00 | 59 | 42 | 74 | 66 | 63 | 70 | 68 | 65 | 61 | 64 | 59 | 62 | 63 | 65 | 51 | 1 | 50 | 62 | 27 | 1,000,000$/3yrs | |||
Logan Shaw | 0 | C/LW/RW | 100.00 | 60 | 42 | 69 | 61 | 68 | 72 | 71 | 66 | 46 | 65 | 59 | 61 | 62 | 65 | 61 | 1 | 50 | 62 | 32 | 1,200,000$/2yrs | |||
Austin Poganski | 0 | RW | 100.00 | 62 | 43 | 70 | 64 | 65 | 71 | 70 | 63 | 44 | 63 | 57 | 62 | 61 | 59 | 54 | 1 | 50 | 61 | 29 | 1,000,000$/1yrs | |||
Anthony Richard | 0 | C/LW/RW | 99.00 | 54 | 43 | 67 | 69 | 56 | 69 | 67 | 64 | 44 | 62 | 61 | 57 | 65 | 57 | 50 | 1 | 50 | 61 | 28 | 1,000,000$/2yrs | |||
Graeme Clarke | 0 | RW | 100.00 | 57 | 43 | 68 | 68 | 61 | 65 | 64 | 66 | 44 | 63 | 61 | 56 | 65 | 52 | 50 | 1 | 50 | 61 | 24 | 975,000$/1yrs | |||
Brian Halonen | 0 | LW | 99.00 | 63 | 44 | 67 | 65 | 65 | 66 | 64 | 63 | 44 | 57 | 63 | 61 | 64 | 54 | 50 | 1 | 50 | 60 | 26 | 1,200,000$/2yrs | |||
Pierrick Dubé | 0 | RW | 100.00 | 56 | 44 | 66 | 69 | 56 | 65 | 63 | 65 | 44 | 62 | 61 | 56 | 65 | 52 | 50 | 1 | 50 | 60 | 24 | 1,000,000$/2yrs | |||
Anthony Angello | 0 | C | 100.00 | 64 | 46 | 64 | 60 | 70 | 70 | 68 | 60 | 53 | 57 | 55 | 60 | 58 | 59 | 50 | 1 | 50 | 59 | 29 | 975,000$/1yrs | |||
Jagger Firkus (R) | 0 | RW | 100.00 | 58 | 41 | 67 | 67 | 57 | 61 | 60 | 62 | 42 | 61 | 58 | 59 | 62 | 50 | 50 | 1 | 50 | 59 | 21 | 975,000$/3yrs | |||
Travis Barron | 0 | LW | 100.00 | 62 | 51 | 59 | 63 | 65 | 67 | 65 | 61 | 43 | 56 | 55 | 56 | 59 | 54 | 50 | 1 | 50 | 58 | 26 | 1,000,000$/3yrs | |||
Jean-Luc Foudy | 0 | C | 100.00 | 59 | 42 | 71 | 66 | 60 | 63 | 61 | 59 | 44 | 58 | 52 | 57 | 59 | 51 | 50 | 1 | 50 | 57 | 23 | 975,000$/1yrs | |||
Jake Christiansen | 0 | D | 99.00 | 66 | 44 | 83 | 74 | 75 | 76 | 75 | 70 | 40 | 66 | 63 | 72 | 69 | 62 | 53 | 1 | 50 | 68 | 25 | 1,000,000$/3yrs | |||
Matt Benning | 0 | D | 99.00 | 61 | 44 | 71 | 68 | 70 | 76 | 71 | 62 | 40 | 58 | 55 | 70 | 62 | 80 | 61 | 1 | 50 | 65 | 31 | 2,500,000$/3yrs | |||
Max Lajoie | 0 | D | 99.00 | 62 | 44 | 68 | 67 | 63 | 69 | 67 | 64 | 40 | 64 | 56 | 69 | 62 | 55 | 50 | 1 | 50 | 63 | 27 | 975,000$/3yrs | |||
Dan Renouf | 0 | D | 100.00 | 62 | 55 | 57 | 65 | 64 | 71 | 70 | 60 | 40 | 58 | 54 | 68 | 60 | 65 | 57 | 1 | 50 | 62 | 31 | 975,000$/1yrs | |||
Austin Strand | 0 | D | 100.00 | 60 | 45 | 65 | 62 | 67 | 69 | 67 | 62 | 40 | 58 | 55 | 62 | 59 | 57 | 50 | 1 | 50 | 61 | 28 | 1,000,000$/2yrs | |||
Blake Hillman | 0 | D | 100.00 | 58 | 41 | 73 | 65 | 62 | 69 | 68 | 59 | 40 | 54 | 54 | 65 | 60 | 59 | 50 | 1 | 50 | 61 | 29 | 975,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Fabian Wagner (R) | 0 | C | 100.00 | 55 | 41 | 67 | 62 | 58 | 61 | 59 | 58 | 41 | 54 | 55 | 54 | 58 | 50 | 50 | 1 | 50 | 56 | 21 | 975,000$/3yrs | |||
Ashton Sautner | 0 | D | 100.00 | 54 | 43 | 67 | 62 | 62 | 72 | 71 | 61 | 40 | 54 | 54 | 55 | 59 | 65 | 57 | 1 | 50 | 59 | 31 | 975,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ken Appleby | 0 | 100.00 | 72 | 67 | 67 | 70 | 70 | 69 | 71 | 69 | 70 | 70 | 65 | 63 | 56 | 1 | 50 | 64 | 30 | 1,000,000$/3yrs |
Jacob Ingham | 0 | 100.00 | 63 | 56 | 56 | 67 | 62 | 59 | 59 | 56 | 61 | 60 | 51 | 52 | 50 | 1 | 50 | 55 | 25 | 975,000$/1yrs |
| Scratches | ||||||||||||||||||||
Jared Moe | 0 | 100.00 | 52 | 48 | 48 | 57 | 50 | 46 | 45 | 44 | 44 | 50 | 44 | 52 | 50 | 1 | 50 | 45 | 25 | 975,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Derek Lalonde | 82 | 80 | 81 | 88 | 80 | 72 | 1 | USA | 52 | 1 | 500,000$ |
| 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 | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Jeff Malott | Bruins (BOS) | LW | 30 | 14 | 16 | 30 | 1 | 44 | 20 | 70 | 141 | 41 | 81 | 9.93% | 16 | 22.40 | 2 | 8 | 10 | 1 | 1 | 2 | 43 | 2 | 1 | 52.50% | 0 | 1 | 1.00 | 1 | 1 | 0.95 | |||
| 2 | Rasmus Asplund | Bruins (BOS) | C | 30 | 12 | 17 | 29 | 6 | 13 | 5 | 43 | 106 | 36 | 73 | 11.32% | 13 | 21.40 | 1 | 3 | 4 | 1 | 1 | 2 | 48 | 0 | 0 | 56.67% | 0 | 0 | 0.97 | 0 | 1 | 1.06 | |||
| 3 | Jake Christiansen | Bruins (BOS) | D | 30 | 4 | 20 | 24 | 1 | 20 | 20 | 42 | 84 | 42 | 48 | 4.76% | 37 | 26.20 | 2 | 3 | 5 | 0 | 1 | 1 | 51 | 1 | 0 | 0.00% | 0 | 0 | 0.80 | 0 | 6 | 0.77 | |||
| 4 | Austin Poganski | Bruins (BOS) | RW | 30 | 10 | 10 | 20 | 8 | 4 | 0 | 58 | 77 | 20 | 49 | 12.99% | 12 | 13.90 | 0 | 0 | 0 | 1 | 0 | 1 | 15 | 2 | 0 | 16.67% | 0 | 0 | 0.67 | 0 | 0 | 0.84 | |||
| 5 | Anthony Richard | Bruins (BOS) | C/LW/RW | 30 | 7 | 11 | 18 | -14 | 4 | 0 | 53 | 71 | 32 | 56 | 9.86% | 12 | 18.57 | 4 | 5 | 9 | 0 | 0 | 0 | 19 | 0 | 1 | 44.18% | 0 | 0 | 0.60 | 4 | 6 | 0.49 | |||
| 6 | Logan Shaw | Bruins (BOS) | C/LW/RW | 30 | 7 | 10 | 17 | 8 | 0 | 0 | 38 | 83 | 27 | 48 | 8.43% | 11 | 13.29 | 0 | 0 | 0 | 0 | 1 | 1 | 18 | 1 | 0 | 46.50% | 0 | 0 | 0.57 | 0 | 0 | 0.78 | |||
| 7 | Graeme Clarke | Bruins (BOS) | RW | 30 | 4 | 11 | 15 | -13 | 11 | 5 | 67 | 76 | 37 | 48 | 5.26% | 10 | 16.10 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 22.22% | 0 | 0 | 0.50 | 1 | 6 | 0.42 | |||
| 8 | Max Lajoie | Bruins (BOS) | D | 30 | 4 | 11 | 15 | 0 | 17 | 15 | 39 | 42 | 19 | 13 | 9.52% | 33 | 22.02 | 2 | 3 | 5 | 0 | 0 | 0 | 35 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.42 | |||
| 9 | Brian Halonen | Bruins (BOS) | LW | 30 | 6 | 8 | 14 | 3 | 13 | 5 | 54 | 45 | 20 | 44 | 13.33% | 11 | 20.22 | 4 | 6 | 10 | 0 | 0 | 0 | 1 | 1 | 0 | 51.16% | 0 | 0 | 0.47 | 1 | 1 | 0.49 | |||
| 10 | Austin Strand | Bruins (BOS) | D | 30 | 3 | 7 | 10 | -5 | 12 | 0 | 25 | 17 | 8 | 10 | 17.65% | 16 | 15.72 | 1 | 0 | 1 | 0 | 1 | 1 | 11 | 0 | 0 | 100.00% | 0 | 0 | 0.33 | 0 | 0 | 0.19 | |||
| 11 | Jagger Firkus | Bruins (BOS) | RW | 30 | 6 | 4 | 10 | 8 | 10 | 0 | 31 | 38 | 8 | 26 | 15.79% | 8 | 12.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 44.44% | 0 | 0 | 0.33 | 0 | 1 | 0.42 | |||
| 12 | Pierrick Dubé | Bruins (BOS) | RW | 30 | 3 | 6 | 9 | -13 | 10 | 0 | 41 | 48 | 19 | 21 | 6.25% | 6 | 16.14 | 1 | 3 | 4 | 0 | 0 | 0 | 0 | 1 | 0 | 37.50% | 0 | 0 | 0.30 | 1 | 3 | 0.17 | |||
| 13 | Dan Renouf | Bruins (BOS) | D | 30 | 1 | 5 | 6 | 0 | 36 | 10 | 27 | 34 | 8 | 7 | 2.94% | 20 | 19.27 | 0 | 0 | 0 | 0 | 0 | 0 | 28 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.05 | |||
| 14 | Matt Benning | Bruins (BOS) | D | 30 | 0 | 6 | 6 | 0 | 4 | 0 | 46 | 44 | 21 | 15 | 0.00% | 38 | 25.17 | 0 | 1 | 1 | 0 | 0 | 0 | 49 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 1 | 1 | 0.30 | |||
| 15 | Travis Barron | Bruins (BOS) | LW | 30 | 3 | 3 | 6 | -2 | 2 | 0 | 34 | 37 | 20 | 25 | 8.11% | 5 | 9.04 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 1 | 0 | 16.67% | 0 | 0 | 0.20 | 0 | 0 | 0.26 | |||
| 16 | Anthony Angello | Bruins (BOS) | C | 30 | 3 | 1 | 4 | -4 | 5 | 5 | 35 | 43 | 8 | 16 | 6.98% | 0 | 9.68 | 0 | 0 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 46.08% | 0 | 0 | 0.13 | 0 | 0 | 0.17 | |||
| 17 | Blake Hillman | Bruins (BOS) | D | 30 | 1 | 1 | 2 | -3 | 9 | 5 | 15 | 17 | 6 | 8 | 5.88% | 15 | 12.58 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0.07 | 0 | 0 | 0.03 | |||
| 18 | Jean-Luc Foudy | Bruins (BOS) | C | 23 | 0 | 1 | 1 | 1 | 0 | 0 | 9 | 16 | 5 | 8 | 0.00% | 1 | 7.89 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 0 | 0.04 | 0 | 0 | 0.11 | |||
| 19 | Ashton Sautner | Bruins (BOS) | D | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.01 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
| Team Total or Average | 540 | 88 | 148 | 236 | -18 | 214 | 90 | 727 | 1019 | 377 | 596 | 8.64% | 264 | 16.67 | 18 | 35 | 53 | 689 | 3 | 5 | 8 | 351 | 12 | 2 | 51.04% | 1632 | 196 | 202 | 0 | 1 | 0.52 | 9 | 26 |
| 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 | Ken Appleby | Bruins (BOS) | 27 | 13 | 9 | 4 | 0.885 | 2.81 | 1516 | 0 | 4 | 71 | 618 | 344 | 0 | 0 | 0.680 | 25 | 26 | 3 | 2 | 0 | 2 |
| 2 | Jacob Ingham | Bruins (BOS) | 8 | 2 | 2 | 0 | 0.887 | 3.46 | 312 | 0 | 0 | 18 | 160 | 99 | 0 | 0 | 0.000 | 0 | 4 | 26 | 0 | 0 | 1 |
| Team Total or Average | 35 | 15 | 11 | 4 | 0.886 | 2.92 | 1829 | 0 | 4 | 89 | 778 | 443 | 0 | 0 | 0.680 | 25 | 30 | 29 | 2 | 0 | 3 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Anthony Angello | C | 29 | 975,000$ | 975,000$ | UFA | ||||||
| Anthony Richard | C/LW/RW | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Ashton Sautner | D | 31 | 975,000$ | 975,000$ | UFA | ||||||
| Austin Poganski | RW | 29 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Austin Strand | D | 28 | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | |||||
| Blake Hillman | D | 29 | 975,000$ | 975,000$ | UFA | ||||||
| Brian Halonen | LW | 26 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
| Dan Renouf | D | 31 | 975,000$ | 975,000$ | UFA | ||||||
| Fabian Wagner | C | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Graeme Clarke | RW | 24 | 975,000$ | 975,000$ | |||||||
| Jacob Ingham | G | 25 | 975,000$ | 975,000$ | |||||||
| Jagger Firkus | RW | 21 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | RFA | ||||
| Jake Christiansen | D | 25 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Jared Moe | G | 25 | 975,000$ | 975,000$ | 975,000$ | UFA | |||||
| Jean-Luc Foudy | C | 23 | 975,000$ | 975,000$ | RFA | ||||||
| Jeff Malott | LW | 28 | 1,000,000$ | 1,000,000$ | UFA | ||||||
| Ken Appleby | G | 30 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Logan Shaw | C/LW/RW | 32 | 1,200,000$ | 1,200,000$ | 1,200,000$ | UFA | |||||
| Matt Benning | D | 31 | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA | ||||
| Max Lajoie | D | 27 | 975,000$ | 975,000$ | 975,000$ | 975,000$ | UFA | ||||
| Pierrick Dubé | RW | 24 | 1,000,000$ | 1,000,000$ | 1,000,000$ | ||||||
| Rasmus Asplund | C | 27 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | UFA | ||||
| Travis Barron | LW | 26 | 1,000,000$ | 1,000,000$ | 1,000,000$ | 1,000,000$ | 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 | Gulls | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1.000 | 2 | 3 | 5 | 0 | 1 | 14 | 40 | 33 | 10 | 31 | 282 | 380 | 346 | 37 | 15 | 7 | 4 | 24 | 3 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 100.0% | 6.5% | 100.0% | 106.5 | DULL |
| 2 | Heat | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 8 | 4 | 1.000 | 9 | 17 | 26 | 0 | 1 | 14 | 40 | 33 | 10 | 79 | 282 | 380 | 346 | 37 | 35 | 17 | 4 | 40 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 88.9% | 11.4% | 97.1% | 108.5 | LUCKY |
| 3 | Wolves | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 9 | 8 | 1 | 5 | 0.833 | 9 | 14 | 23 | 0 | 1 | 14 | 40 | 33 | 10 | 120 | 282 | 380 | 346 | 37 | 96 | 29 | 14 | 59 | 9 | 2 | 22.22% | 7 | 1 | 85.71% | 0 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 50.0% | 7.5% | 91.7% | 99.2 | DULL |
| 4 | Eagles | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 3 | 8 | -5 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 14 | 40 | 33 | 10 | 60 | 282 | 380 | 346 | 37 | 43 | 16 | 28 | 48 | 8 | 1 | 12.50% | 4 | 2 | 50.00% | 0 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 25.0% | 5.0% | 81.4% | 86.4 | Unlucky |
| 5 | Stars | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 14 | 40 | 33 | 10 | 36 | 282 | 380 | 346 | 37 | 17 | 7 | 4 | 31 | 5 | 2 | 40.00% | 2 | 0 | 100.00% | 0 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 75.0% | 13.9% | 94.1% | 108.0 | LUCKY |
| 6 | Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 14 | 40 | 33 | 10 | 43 | 282 | 380 | 346 | 37 | 38 | 11 | 12 | 30 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 25.0% | 4.7% | 81.6% | 86.2 | Unlucky |
| 7 | Condors | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 8 | 14 | 0 | 0 | 14 | 40 | 33 | 10 | 39 | 282 | 380 | 346 | 37 | 30 | 10 | 14 | 27 | 3 | 2 | 66.67% | 2 | 0 | 100.00% | 0 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 44.4% | 15.4% | 83.3% | 98.7 | FUN |
| 8 | Checkers 1 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | -2 | 2 | 0.333 | 10 | 19 | 29 | 0 | 0 | 14 | 40 | 33 | 10 | 113 | 282 | 380 | 346 | 37 | 82 | 33 | 12 | 71 | 9 | 3 | 33.33% | 6 | 4 | 33.33% | 1 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 46.7% | 8.8% | 85.4% | 94.2 | Unlucky |
| 9 | Reign | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 14 | 40 | 33 | 10 | 36 | 282 | 380 | 346 | 37 | 20 | 6 | 2 | 32 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 25.0% | 5.6% | 85.0% | 90.6 | Unlucky |
| 10 | Wild | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 7 | 5 | 2 | 4 | 1.000 | 7 | 9 | 16 | 0 | 0 | 14 | 40 | 33 | 10 | 62 | 282 | 380 | 346 | 37 | 51 | 23 | 11 | 56 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 58.3% | 11.3% | 90.2% | 101.5 | FUN |
| 11 | Comets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 1.000 | 4 | 6 | 10 | 0 | 1 | 14 | 40 | 33 | 10 | 43 | 282 | 380 | 346 | 37 | 12 | 2 | 7 | 40 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 100.0% | 9.3% | 100.0% | 109.3 | LUCKY |
| 12 | Islanders | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 4 | 0 | 3 | 0.750 | 4 | 6 | 10 | 0 | 0 | 14 | 40 | 33 | 10 | 61 | 282 | 380 | 346 | 37 | 28 | 8 | 19 | 56 | 5 | 1 | 20.00% | 7 | 3 | 57.14% | 0 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 75.0% | 6.6% | 85.7% | 92.3 | Unlucky |
| 13 | Wolf Pack | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 14 | -5 | 2 | 0.333 | 9 | 13 | 22 | 0 | 0 | 14 | 40 | 33 | 10 | 85 | 282 | 380 | 346 | 37 | 98 | 28 | 14 | 70 | 10 | 2 | 20.00% | 7 | 2 | 71.43% | 0 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 36.8% | 10.6% | 85.7% | 96.3 | FUN |
| 14 | Phantoms | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 14 | 40 | 33 | 10 | 35 | 282 | 380 | 346 | 37 | 19 | 5 | 26 | 18 | 3 | 2 | 66.67% | 3 | 0 | 100.00% | 0 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 75.0% | 14.3% | 94.7% | 109.0 | LUCKY |
| 15 | Penguins | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 11 | -5 | 1 | 0.250 | 6 | 9 | 15 | 0 | 0 | 14 | 40 | 33 | 10 | 47 | 282 | 380 | 346 | 37 | 74 | 33 | 23 | 48 | 4 | 0 | 0.00% | 4 | 2 | 50.00% | 1 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 40.0% | 12.8% | 85.1% | 97.9 | FUN |
| 16 | Crunch | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 14 | 40 | 33 | 10 | 36 | 282 | 380 | 346 | 37 | 22 | 7 | 5 | 23 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 33.3% | 2.8% | 90.9% | 93.7 | Unlucky |
| 17 | Marlies | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 14 | 40 | 33 | 10 | 33 | 282 | 380 | 346 | 37 | 39 | 7 | 0 | 18 | 2 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 20.0% | 3.0% | 89.7% | 92.8 | Unlucky |
| 18 | Hershey Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 14 | 40 | 33 | 10 | 25 | 282 | 380 | 346 | 37 | 30 | 7 | 4 | 20 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 1 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 25.0% | 4.0% | 90.0% | 94.0 | Unlucky |
| 19 | Silver Knights | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 14 | 40 | 33 | 10 | 35 | 282 | 380 | 346 | 37 | 29 | 8 | 11 | 16 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 66.7% | 14.3% | 89.7% | 103.9 | FUN |
| _Vs Division | 6 | 5 | 6 | 0 | 0 | 1 | 1 | 2 | 14 | 25 | -11 | 15 | 1.250 | 14 | 25 | 39 | 0 | 0 | 14 | 40 | 33 | 10 | 225 | 282 | 380 | 346 | 37 | 181 | 58 | 29 | 142 | 14 | 3 | 21.43% | 7 | 5 | 28.57% | 1 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 35.5% | 6.2% | 86.2% | 92.4 | Unlucky | |
| _Vs Conference | 18 | 6 | 8 | 0 | 0 | 1 | 1 | 2 | 50 | 59 | -9 | 17 | 0.472 | 50 | 80 | 130 | 0 | 2 | 14 | 40 | 33 | 10 | 598 | 282 | 380 | 346 | 37 | 500 | 159 | 124 | 423 | 48 | 10 | 20.83% | 37 | 12 | 67.57% | 3 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 46.0% | 8.4% | 88.2% | 96.6 | Unlucky | |
| _Since Last GM Reset | 30 | 11 | 11 | 0 | 1 | 1 | 3 | 3 | 91 | 92 | -1 | 34 | 0.567 | 91 | 148 | 239 | 0 | 4 | 14 | 40 | 33 | 10 | 1019 | 282 | 380 | 346 | 37 | 778 | 264 | 214 | 727 | 84 | 18 | 21.43% | 57 | 16 | 71.93% | 3 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 49.0% | 8.9% | 88.2% | 97.1 | Unlucky | |
| Total | 30 | 11 | 11 | 0 | 1 | 1 | 3 | 3 | 91 | 92 | -1 | 34 | 0.567 | 91 | 148 | 239 | 0 | 4 | 14 | 40 | 33 | 10 | 1019 | 282 | 380 | 346 | 37 | 778 | 264 | 214 | 727 | 84 | 18 | 21.43% | 57 | 16 | 71.93% | 3 | 344 | 683 | 50.37% | 249 | 499 | 49.90% | 240 | 429 | 55.94% | 667 | 366 | 559 | 294 | 604 | 296 | 49.0% | 8.9% | 88.2% | 97.1 | Unlucky |
| Puck Time | |
|---|---|
| Offensive Zone | 22 |
| Neutral Zone | 20 |
| Defensive Zone | 18 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 683 |
| Neutral Zone Start | 429 |
| Defensive Zone Start | 499 |
| Puck Time | |
|---|---|
| With Puck | 31 |
| Without Puck | 29 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 833 |
| Faceoffs Lost | 778 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 9.4 | 9.57 |
| 2nd Period | 22.1 | 20.31 |
| 3rd Period | 33.6 | 30.68 |
| Overtime | 34.8 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 0.5 | 0.64 |
| 2nd Period | 1.8 | 1.65 |
| 3rd Period | 2.9 | 2.67 |
| Overtime | 3.2 | 2.83 |
| Even Strenght Goal | 70 |
|---|---|
| PP Goal | 18 |
| PK Goal | 3 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 7 | 8 |
| Lost | 6 | 5 |
| Overtime Lost | 3 | 1 |
| PP Attempt | 84 |
|---|---|
| PP Goal | 18 |
| PK Attempt | 57 |
| PK Goal Against | 16 |
| Home | |
|---|---|
| Shots For | 34.0 |
| Shots Against | 25.9 |
| Goals For | 3.0 |
| Goals Against | 3.1 |
| Hits | 24.2 |
| Shots Blocked | 8.8 |
| Pim | 7.1 |
| Date | Matchup | Result | Detail | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Thu, Oct 9 | TOR | @ | BOS | TOR4,BOS1 | RECAP | |||||||||
| Fri, Oct 10 | BOS | @ | CAR | BOS5,CAR4 (SO) | RECAP | |||||||||
| Sat, Oct 11 | BOS | @ | MIN | BOS2,MIN1 (OT) | RECAP | |||||||||
| Wed, Oct 15 | NYR | @ | BOS | NYR3,BOS6 | RECAP | |||||||||
| Fri, Oct 17 | BOS | @ | NYR | BOS1,NYR5 | RECAP | |||||||||
| Sun, Oct 19 | PIT | @ | BOS | PIT5,BOS4 (SO) | RECAP | |||||||||
| Tue, Oct 21 | BOS | @ | PIT | BOS2,PIT6 | RECAP | |||||||||
| Thu, Oct 23 | CAR | @ | BOS | CAR4,BOS3 (SO) | RECAP | |||||||||
| Sat, Oct 25 | WAS | @ | BOS | WAS3,BOS1 | RECAP | |||||||||
| Tue, Oct 28 | BOS | @ | FLO | BOS4,FLO7 | RECAP | |||||||||
| Thu, Oct 30 | FLO | @ | BOS | FLO4,BOS3 | RECAP | |||||||||
| Sat, Nov 1 | CHI | @ | BOS | CHI3,BOS5 | RECAP | |||||||||
| Sun, Nov 2 | BOS | @ | MIN | BOS5,MIN4 (SO) | RECAP | |||||||||
| Tue, Nov 4 | BOS | @ | NYI | BOS3,NYI2 | RECAP | |||||||||
| Thu, Nov 6 | BOS | @ | LOS | BOS2,LOS3 | RECAP | |||||||||
| Sat, Nov 8 | PHI | @ | BOS | PHI1,BOS5 | RECAP | |||||||||
| Mon, Nov 10 | NJD | @ | BOS | NJD0,BOS4 | RECAP | |||||||||
| Wed, Nov 12 | BOS | @ | DAL | BOS5,DAL1 | RECAP | |||||||||
| Thu, Nov 13 | FLO | @ | BOS | FLO1,BOS3 | RECAP | |||||||||
| Sun, Nov 16 | BOS | @ | NYI | BOS1,NYI2 (OT) | RECAP | |||||||||
| Mon, Nov 17 | NYR | @ | BOS | NYR6,BOS2 | RECAP | |||||||||
| Thu, Nov 20 | BOS | @ | EDM | BOS6,EDM5 (SO) | RECAP | |||||||||
| Fri, Nov 21 | TAM | @ | BOS | TAM2,BOS1 | RECAP | |||||||||
| Sun, Nov 23 | BOS | @ | ANA | BOS2,ANA0 | RECAP | |||||||||
| Tue, Nov 25 | CAL | @ | BOS | CAL1,BOS3 | RECAP | |||||||||
| Thu, Nov 27 | BOS | @ | CAL | BOS6,CAL0 | RECAP | |||||||||
| Sun, Nov 30 | DET | @ | BOS | DET7,BOS2 | RECAP | |||||||||
| Tue, Dec 2 | BOS | @ | COL | BOS1,COL5 | RECAP | |||||||||
| Thu, Dec 4 | CAR | @ | BOS | CAR0,BOS1 | RECAP | |||||||||
| Sun, Dec 7 | COL | @ | BOS | COL3,BOS2 (SO) | RECAP | |||||||||
| Mon, Dec 8 | BOS | @ | SEA | |||||||||||
| Thu, Dec 11 | BOS | @ | OTT | |||||||||||
| Fri, Dec 12 | WPG | @ | BOS | |||||||||||
| Mon, Dec 15 | BOS | @ | S J | |||||||||||
| Tue, Dec 16 | CHI | @ | BOS | |||||||||||
| Thu, Dec 18 | BOS | @ | CHI | |||||||||||
| Sat, Dec 20 | LOS | @ | BOS | |||||||||||
| Tue, Dec 23 | WAS | @ | BOS | |||||||||||
| Thu, Dec 25 | BOS | @ | CAR | |||||||||||
| Sun, Dec 28 | NAS | @ | BOS | |||||||||||
| Wed, Dec 31 | BOS | @ | NJD | |||||||||||
| Fri, Jan 2 | OTT | @ | BOS | |||||||||||
| Sun, Jan 4 | BOS | @ | BUF | |||||||||||
| Tue, Jan 6 | BOS | @ | FLO | |||||||||||
| Wed, Jan 7 | NYI | @ | BOS | |||||||||||
| Sat, Jan 10 | BOS | @ | PIT | |||||||||||
| Sun, Jan 11 | PHO | @ | BOS | |||||||||||
| Wed, Jan 14 | BUF | @ | BOS | |||||||||||
| Thu, Jan 15 | BOS | @ | DET | |||||||||||
| Sun, Jan 18 | EDM | @ | BOS | |||||||||||
| Tue, Jan 20 | BOS | @ | WPG | |||||||||||
| Wed, Jan 21 | STL | @ | BOS | |||||||||||
| Sun, Jan 25 | VAN | @ | BOS | |||||||||||
| Mon, Jan 26 | BOS | @ | VAN | |||||||||||
| Thu, Jan 29 | TOR | @ | BOS | |||||||||||
| Fri, Jan 30 | BOS | @ | NYR | |||||||||||
| Mon, Feb 2 | MTL | @ | BOS | |||||||||||
| Tue, Feb 3 | BOS | @ | NAS | |||||||||||
| Thu, Feb 5 | BOS | @ | LOS | |||||||||||
| Sat, Feb 7 | DAL | @ | BOS | |||||||||||
| Tue, Feb 10 | NYI | @ | BOS | |||||||||||
| Wed, Feb 11 | BOS | @ | PHI | |||||||||||
| Sat, Feb 14 | BOS | @ | TOR | |||||||||||
| Sun, Feb 15 | STL | @ | BOS | |||||||||||
| Tue, Feb 17 | CLB | @ | BOS | |||||||||||
| Thu, Feb 19 | BOS | @ | MTL | |||||||||||
| Sat, Feb 21 | BOS | @ | WAS | |||||||||||
| Mon, Feb 23 | PIT | @ | BOS | |||||||||||
| Wed, Feb 25 | BOS | @ | STL | |||||||||||
| Thu, Feb 26 | BOS | @ | CLB | |||||||||||
| Fri, Feb 27 | BOS | @ | MIN | |||||||||||
| Sun, Mar 1 | ANA | @ | BOS | |||||||||||
| Tue, Mar 3 | BOS | @ | CHI | |||||||||||
| Wed, Mar 4 | BOS | @ | PHO | |||||||||||
| Fri, Mar 6 | CHI | @ | BOS | |||||||||||
| Sat, Mar 7 | BOS | @ | WAS | |||||||||||
| Mon, Mar 9 | S J | @ | BOS | |||||||||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
| Fri, Mar 13 | PHI | @ | BOS | |||||||||||
| Mon, Mar 16 | MIN | @ | BOS | |||||||||||
| Tue, Mar 17 | BOS | @ | TAM | |||||||||||
| Sun, Mar 22 | SEA | @ | BOS | |||||||||||
| Mon, Mar 23 | BOS | @ | PHI | |||||||||||
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,462,500$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Providence | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| 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 |
| 25 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,462,500$ | 2,462,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,068,176$ | 0$ | 887,677$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 131 | 17,530$ | 1,893,240$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 1,893,240$ | 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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