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Full Scoreboard >> |
![]() | Hof Wolf Pack 37-10-3, 77pts · 1st in Lemieux Conference |
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Yevgeni Dadonov | 0 | LW/RW | 100.00 | 66 | 40 | 91 | 77 | 68 | 58 | 97 | 69 | 51 | 67 | 72 | 68 | 56 | 72 | 59 | 76 | 75 | 76 | 36 | 1,150,000$/2yrs | |||
Drew O'Connor | 0 | LW/RW | 100.00 | 76 | 40 | 84 | 80 | 80 | 61 | 99 | 63 | 66 | 65 | 65 | 71 | 54 | 61 | 58 | 76 | 75 | 76 | 27 | 500,000$/2yrs | |||
Justin Brazeau | 0 | LW/RW | 100.00 | 78 | 40 | 92 | 70 | 87 | 54 | 92 | 62 | 53 | 64 | 66 | 67 | 54 | 57 | 58 | 73 | 75 | 73 | 27 | 500,000$/3yrs | |||
Mitchell Chaffee | 0 | RW | 100.00 | 78 | 64 | 89 | 72 | 75 | 55 | 80 | 62 | 53 | 62 | 68 | 65 | 54 | 57 | 58 | 70 | 75 | 70 | 27 | 450,000$/3yrs | |||
Jonny Brodzinski | 0 | C/RW | 100.00 | 64 | 40 | 94 | 74 | 77 | 54 | 62 | 65 | 74 | 63 | 72 | 67 | 54 | 60 | 58 | 68 | 75 | 68 | 32 | 450,000$/2yrs | |||
Jordan Greenway | 0 | C/LW | 100.00 | 80 | 76 | 79 | 70 | 88 | 62 | 41 | 60 | 53 | 64 | 62 | 75 | 54 | 67 | 59 | 65 | 75 | 65 | 28 | 1,500,000$/1yrs | |||
Adam Klapka (R) | 0 | LW/RW | 100.00 | 68 | 65 | 75 | 72 | 91 | 56 | 71 | 62 | 56 | 62 | 65 | 66 | 55 | 59 | 58 | 63 | 75 | 63 | 24 | 775,000$/1yrs | |||
Cole Knuble (R) | 0 | C/RW | 100.00 | 65 | 66 | 89 | 63 | 66 | 54 | 78 | 59 | 57 | 56 | 57 | 51 | 54 | 34 | 34 | 63 | 75 | 63 | 20 | 500,000$/2yrs | |||
Ozzy Wiesblatt (R) | 0 | C/LW/RW | 100.00 | 64 | 66 | 75 | 64 | 66 | 55 | 81 | 55 | 41 | 49 | 57 | 60 | 54 | 42 | 42 | 61 | 75 | 61 | 23 | 835,833$/1yrs | |||
Jayson Shaugabay (R) | 0 | C | 100.00 | 65 | 62 | 90 | 62 | 62 | 54 | 84 | 54 | 31 | 47 | 57 | 45 | 54 | 33 | 33 | 61 | 75 | 61 | 20 | 500,000$/2yrs | |||
Ryan Winterton (R) | 0 | C/LW/RW | 100.00 | 59 | 54 | 74 | 65 | 67 | 65 | 79 | 62 | 56 | 61 | 61 | 67 | 55 | 56 | 55 | 58 | 75 | 58 | 21 | 828,333$/2yrs | |||
Arthur Kaliyev | 0 | LW/RW | 100.00 | 59 | 44 | 86 | 62 | 78 | 54 | 20 | 56 | 53 | 60 | 66 | 65 | 60 | 61 | 59 | 57 | 75 | 57 | 24 | 825,000$/1yrs | |||
Mattias Samuelsson | 0 | D | 100.00 | 67 | 40 | 89 | 69 | 85 | 72 | 75 | 59 | 40 | 64 | 60 | 88 | 54 | 60 | 64 | 76 | 75 | 76 | 25 | 2,150,000$/4yrs | |||
Joel Hanley | 0 | D | 100.00 | 65 | 65 | 86 | 70 | 67 | 70 | 64 | 57 | 40 | 63 | 58 | 84 | 54 | 61 | 58 | 70 | 75 | 70 | 34 | 600,000$/2yrs | |||
Josh Mahura | 0 | D | 100.00 | 63 | 40 | 85 | 70 | 71 | 59 | 77 | 56 | 40 | 60 | 60 | 78 | 54 | 61 | 58 | 69 | 75 | 69 | 27 | 475,000$/3yrs | |||
Ethan Bear | 74 | D | 100.00 | 65 | 70 | 82 | 68 | 70 | 58 | 73 | 55 | 25 | 47 | 49 | 77 | 46 | 55 | 55 | 65 | 75 | 65 | 28 | 1,050,000$/3yrs | |||
Nick DeSimone | 0 | D | 100.00 | 59 | 46 | 86 | 73 | 73 | 62 | 35 | 58 | 41 | 64 | 57 | 70 | 55 | 63 | 61 | 60 | 75 | 60 | 30 | 450,000$/1yrs | |||
Dylan Coghlan | 0 | D | 100.00 | 65 | 72 | 80 | 67 | 72 | 59 | 73 | 56 | 25 | 46 | 50 | 53 | 48 | 45 | 45 | 60 | 75 | 60 | 27 | 450,000$/4yrs | |||
| Scratches | ||||||||||||||||||||||||||
Oskar Sundqvist | 0 | C/RW | 100.00 | 70 | 40 | 82 | 64 | 82 | 58 | 81 | 63 | 73 | 65 | 62 | 79 | 54 | 69 | 59 | 70 | 75 | 70 | 31 | 500,000$/2yrs | |||
Noah Gregor | 0 | LW/RW | 100.00 | 72 | 68 | 85 | 77 | 73 | 52 | 63 | 58 | 54 | 60 | 62 | 69 | 68 | 63 | 58 | 65 | 75 | 65 | 26 | 450,000$/1yrs | |||
Benoit-Olivier Groulx (R) | 0 | C/LW | 78.85 | 66 | 74 | 79 | 64 | 74 | 56 | 69 | 61 | 77 | 57 | 61 | 53 | 58 | 43 | 43 | 64 | 75 | 64 | 25 | 600,000$/1yrs | |||
Brian Halonen (R) | 0 | LW/RW | 100.00 | 66 | 72 | 81 | 64 | 72 | 56 | 75 | 61 | 73 | 57 | 62 | 56 | 58 | 38 | 38 | 64 | 75 | 64 | 26 | 475,000$/1yrs | |||
Artem Shlaine (R) | 0 | C | 100.00 | 66 | 68 | 89 | 63 | 68 | 55 | 69 | 56 | 49 | 48 | 59 | 55 | 55 | 33 | 33 | 61 | 75 | 61 | 23 | 450,000$/1yrs | |||
Jonathan Lekkerimaki (R) | 0 | RW | 100.00 | 64 | 54 | 81 | 71 | 63 | 60 | 67 | 61 | 54 | 59 | 64 | 64 | 66 | 55 | 55 | 60 | 75 | 60 | 20 | 875,000$/1yrs | |||
Oskar Jellvik (R) | 0 | C/LW | 100.00 | 65 | 65 | 89 | 64 | 65 | 53 | 75 | 50 | 32 | 46 | 48 | 54 | 46 | 32 | 32 | 59 | 75 | 59 | 22 | 500,000$/1yrs | |||
William Whitelaw (R) | 0 | C | 100.00 | 64 | 63 | 80 | 63 | 63 | 53 | 79 | 51 | 31 | 46 | 51 | 53 | 48 | 34 | 34 | 59 | 75 | 59 | 20 | 625,000$/2yrs | |||
Brennan Othmann (R) | 0 | LW | 100.00 | 68 | 50 | 81 | 68 | 70 | 56 | 55 | 58 | 55 | 60 | 59 | 63 | 55 | 56 | 56 | 58 | 75 | 58 | 22 | 863,333$/2yrs | |||
Ludvig Jansson (R) | 0 | D | 100.00 | 65 | 66 | 78 | 64 | 67 | 52 | 86 | 44 | 25 | 33 | 40 | 62 | 38 | 37 | 37 | 59 | 75 | 59 | 21 | 550,000$/1yrs | |||
Marc-Andre Gaudet (R) | 0 | D | 100.00 | 65 | 69 | 87 | 64 | 69 | 54 | 60 | 48 | 25 | 37 | 41 | 66 | 39 | 39 | 39 | 58 | 75 | 58 | 21 | 450,000$/1yrs | |||
Matthew Morden (R) | 0 | D | 100.00 | 65 | 77 | 85 | 64 | 77 | 52 | 74 | 45 | 25 | 34 | 40 | 51 | 38 | 32 | 32 | 56 | 75 | 56 | 20 | 475,000$/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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ilya Samsonov | 0 | 100.00 | 77 | 66 | 75 | 85 | 92 | 68 | 77 | 67 | 82 | 83 | 88 | 65 | 61 | 77 | 75 | 77 | 28 | 1,800,000$/2yrs |
Erik Portillo | 0 | 100.00 | 51 | 63 | 60 | 74 | 51 | 58 | 51 | 51 | 51 | 51 | 44 | 36 | 36 | 50 | 75 | 50 | 24 | 783,333$/3yrs |
| Scratches | ||||||||||||||||||||
Joel Blomqvist | 0 | 100.00 | 62 | 71 | 64 | 73 | 81 | 70 | 71 | 66 | 73 | 64 | 60 | 59 | 55 | 63 | 75 | 63 | 23 | 886,667$/2yrs |
Jan Bednar | 0 | 100.00 | 52 | 78 | 66 | 68 | 52 | 59 | 52 | 52 | 52 | 52 | 45 | 41 | 41 | 51 | 75 | 51 | 22 | 450,000$/2yrs |
Melker Thelin | 0 | 100.00 | 47 | 62 | 59 | 61 | 47 | 54 | 47 | 47 | 47 | 47 | 40 | 32 | 32 | 47 | 75 | 47 | 20 | 475,000$/2yrs |
Yegor Yegorov | 0 | 100.00 | 34 | 62 | 60 | 67 | 34 | 41 | 34 | 34 | 34 | 34 | 27 | 32 | 32 | 42 | 75 | 42 | 19 | 450,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|
| 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% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Yevgeni Dadonov | Wolf Pack (BFT) | LW/RW | 45 | 22 | 21 | 43 | 10 | 14 | 0 | 31 | 170 | 45 | 104 | 12.94% | 5 | 15.30 | 4 | 6 | 10 | 0 | 0 | 0 | 27 | 2 | 1 | 61.90% | 84 | 0 | 0 | 0 | 0 | 1.25 | 1 | 2 | |
| 2 | Mitchell Chaffee | Wolf Pack (BFT) | RW | 43 | 26 | 15 | 41 | 20 | 18 | 0 | 55 | 109 | 27 | 64 | 23.85% | 6 | 13.04 | 1 | 2 | 3 | 0 | 0 | 0 | 10 | 6 | 2 | 43.94% | 66 | 0 | 0 | 0 | 0 | 1.46 | 0 | 0 | |
| 3 | Joel Hanley | Wolf Pack (BFT) | D | 39 | 5 | 34 | 39 | 25 | 14 | 0 | 58 | 61 | 37 | 67 | 8.20% | 57 | 21.70 | 3 | 8 | 11 | 0 | 0 | 0 | 82 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 | |
| 4 | Mattias Samuelsson | Wolf Pack (BFT) | D | 33 | 5 | 26 | 31 | 17 | 10 | 0 | 61 | 62 | 21 | 47 | 8.06% | 50 | 23.65 | 4 | 5 | 9 | 0 | 0 | 0 | 69 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | |
| 5 | Adam Klapka | Wolf Pack (BFT) | LW/RW | 37 | 16 | 14 | 30 | 11 | 14 | 0 | 54 | 92 | 27 | 72 | 17.39% | 8 | 16.63 | 2 | 2 | 4 | 0 | 0 | 0 | 26 | 1 | 0 | 53.70% | 324 | 0 | 0 | 0 | 0 | 0.98 | 0 | 0 | |
| 6 | Justin Brazeau | Wolf Pack (BFT) | LW/RW | 43 | 12 | 16 | 28 | 16 | 6 | 0 | 64 | 110 | 28 | 95 | 10.91% | 4 | 13.06 | 0 | 2 | 2 | 0 | 0 | 0 | 13 | 3 | 2 | 43.90% | 41 | 0 | 0 | 0 | 0 | 1.00 | 0 | 4 | |
| 7 | Drew O'Connor | Wolf Pack (BFT) | LW/RW | 28 | 10 | 17 | 27 | 18 | 10 | 0 | 67 | 109 | 25 | 69 | 9.17% | 10 | 19.95 | 3 | 5 | 8 | 0 | 0 | 0 | 52 | 2 | 1 | 65.43% | 81 | 0 | 0 | 0 | 0 | 0.97 | 0 | 0 | |
| 8 | Josh Mahura | Wolf Pack (BFT) | D | 45 | 5 | 22 | 27 | 9 | 22 | 0 | 60 | 79 | 27 | 47 | 6.33% | 49 | 20.96 | 1 | 4 | 5 | 0 | 0 | 0 | 72 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | |
| 9 | Jordan Greenway | Wolf Pack (BFT) | C/LW | 34 | 9 | 17 | 26 | 6 | 20 | 0 | 65 | 91 | 29 | 66 | 9.89% | 5 | 16.37 | 3 | 5 | 8 | 0 | 0 | 0 | 25 | 1 | 0 | 52.25% | 222 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 | |
| 10 | Ethan Bear | Wolf Pack (BFT) | D | 46 | 8 | 16 | 24 | 10 | 40 | 0 | 89 | 64 | 19 | 45 | 12.50% | 61 | 19.44 | 1 | 3 | 4 | 0 | 0 | 0 | 35 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | |
| 11 | Nick DeSimone | Wolf Pack (BFT) | D | 36 | 4 | 18 | 22 | -1 | 6 | 0 | 40 | 38 | 4 | 18 | 10.53% | 30 | 15.32 | 1 | 1 | 2 | 0 | 0 | 0 | 29 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | |
| 12 | Jonny Brodzinski | Wolf Pack (BFT) | C/RW | 18 | 10 | 12 | 22 | 9 | 0 | 0 | 7 | 67 | 16 | 52 | 14.93% | 3 | 15.49 | 4 | 2 | 6 | 0 | 0 | 0 | 7 | 2 | 0 | 62.86% | 245 | 0 | 0 | 0 | 1 | 1.58 | 0 | 0 | |
| 13 | Benoit-Olivier Groulx | Wolf Pack (BFT) | C/LW | 39 | 7 | 7 | 14 | 16 | 14 | 0 | 47 | 38 | 8 | 25 | 18.42% | 6 | 16.57 | 0 | 1 | 1 | 0 | 0 | 0 | 40 | 0 | 0 | 54.87% | 709 | 0 | 0 | 0 | 0 | 0.43 | 0 | 1 | |
| 14 | Cole Knuble | Wolf Pack (BFT) | C/RW | 35 | 5 | 9 | 14 | 14 | 4 | 0 | 15 | 22 | 4 | 19 | 22.73% | 6 | 12.28 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0 | 0 | 46.14% | 440 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | |
| 15 | Ozzy Wiesblatt | Wolf Pack (BFT) | C/LW/RW | 50 | 6 | 6 | 12 | 1 | 8 | 0 | 48 | 59 | 7 | 32 | 10.17% | 6 | 11.78 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 1 | 1 | 37.72% | 167 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
| 16 | Ryan Winterton | Wolf Pack (BFT) | C/LW/RW | 34 | 5 | 7 | 12 | 4 | 8 | 0 | 35 | 69 | 21 | 45 | 7.25% | 5 | 15.59 | 0 | 1 | 1 | 0 | 0 | 0 | 25 | 1 | 1 | 47.03% | 589 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | |
| 17 | Noah Gregor | Wolf Pack (BFT) | LW/RW | 12 | 5 | 5 | 10 | 6 | 0 | 0 | 13 | 27 | 7 | 31 | 18.52% | 1 | 13.52 | 1 | 1 | 2 | 0 | 0 | 0 | 6 | 2 | 0 | 66.67% | 12 | 0 | 0 | 0 | 0 | 1.23 | 0 | 0 | |
| 18 | Brian Halonen | Wolf Pack (BFT) | LW/RW | 23 | 3 | 6 | 9 | 12 | 2 | 0 | 20 | 42 | 14 | 27 | 7.14% | 2 | 12.75 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 3 | 0 | 50.00% | 20 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | |
| 19 | Oskar Sundqvist | Wolf Pack (BFT) | C/RW | 12 | 2 | 6 | 8 | 8 | 6 | 0 | 14 | 28 | 7 | 32 | 7.14% | 4 | 17.80 | 1 | 3 | 4 | 0 | 0 | 0 | 18 | 0 | 0 | 61.48% | 270 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | |
| 20 | Jayson Shaugabay | Wolf Pack (BFT) | C | 46 | 2 | 6 | 8 | 5 | 10 | 0 | 30 | 19 | 5 | 12 | 10.53% | 0 | 11.55 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 30.74% | 618 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
| 21 | Arthur Kaliyev | Wolf Pack (BFT) | LW/RW | 29 | 2 | 4 | 6 | -3 | 2 | 0 | 11 | 56 | 15 | 43 | 3.57% | 6 | 18.18 | 1 | 0 | 1 | 0 | 0 | 0 | 13 | 0 | 0 | 55.81% | 43 | 0 | 0 | 0 | 0 | 0.23 | 0 | 2 | |
| 22 | Marc-Andre Gaudet | Wolf Pack (BFT) | D | 6 | 0 | 4 | 4 | 5 | 0 | 0 | 9 | 4 | 1 | 4 | 0.00% | 10 | 16.06 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.83 | 0 | 0 | |
| 23 | Dylan Coghlan | Wolf Pack (BFT) | D | 27 | 0 | 4 | 4 | 15 | 14 | 0 | 55 | 10 | 6 | 5 | 0.00% | 13 | 18.49 | 0 | 1 | 1 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | |
| 24 | Jonathan Lekkerimaki | Wolf Pack (BFT) | RW | 4 | 2 | 1 | 3 | 1 | 0 | 0 | 3 | 9 | 2 | 7 | 22.22% | 2 | 10.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14.29% | 7 | 0 | 0 | 0 | 0 | 1.47 | 0 | 0 | |
| 25 | Artem Shlaine | Wolf Pack (BFT) | C | 17 | 0 | 2 | 2 | 6 | 0 | 0 | 2 | 4 | 1 | 5 | 0.00% | 2 | 9.02 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 0 | 0 | 49.20% | 187 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
| 26 | Brennan Othmann | Wolf Pack (BFT) | LW | 7 | 0 | 1 | 1 | 1 | 0 | 0 | 5 | 4 | 5 | 5 | 0.00% | 1 | 8.96 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 5 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
| 27 | Oskar Jellvik | Wolf Pack (BFT) | C/LW | 4 | 1 | 0 | 1 | 2 | 0 | 0 | 5 | 7 | 0 | 2 | 14.29% | 2 | 12.90 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80.00% | 5 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | |
| 28 | Ludvig Jansson | Wolf Pack (BFT) | D | 7 | 0 | 1 | 1 | 4 | 4 | 0 | 11 | 4 | 2 | 2 | 0.00% | 6 | 17.30 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
| 29 | Matthew Morden | Wolf Pack (BFT) | D | 2 | 0 | 0 | 0 | 3 | 0 | 0 | 5 | 0 | 0 | 2 | 0.00% | 3 | 15.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
| Team Total or Average | 801 | 172 | 297 | 469 | 250 | 246 | 0 | 979 | 1454 | 410 | 1044 | 11.83% | 363 | 16.00 | 31 | 53 | 84 | 1171 | 0 | 0 | 0 | 704 | 27 | 8 | 48.97% | 4135 | 0 | 0 | 0 | 1 | 0.73 | 1 | 9 |
| 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 | Ilya Samsonov | Wolf Pack (BFT) | 48 | 36 | 8 | 3 | 0.910 | 2.61 | 2783 | 4 | 3 | 121 | 1341 | 0 | 4 | 0 | 0.692 | 13 | 46 | 2 | 4 | 2 | 0 |
| 2 | Erik Portillo | Wolf Pack (BFT) | 2 | 0 | 0 | 0 | 0.957 | 1.00 | 60 | 0 | 0 | 1 | 23 | 0 | 0 | 0 | 0.000 | 0 | 0 | 29 | 0 | 0 | 0 |
| 3 | Joel Blomqvist | Wolf Pack (BFT) | 2 | 0 | 1 | 0 | 0.750 | 7.74 | 62 | 0 | 0 | 8 | 32 | 0 | 0 | 0 | 0.000 | 0 | 2 | 17 | 0 | 0 | 0 |
| Team Total or Average | 52 | 36 | 9 | 3 | 0.907 | 2.69 | 2905 | 4 | 3 | 130 | 1396 | 0 | 4 | 0 | 0.692 | 13 | 48 | 48 | 4 | 2 | 0 |
| Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Klapka | LW/RW | 24 | 775,000$ | 775,000$ | RFA | ||||||
| Artem Shlaine | C | 23 | 450,000$ | 450,000$ | |||||||
| Arthur Kaliyev | LW/RW | 24 | 825,000$ | 825,000$ | RFA | ||||||
| Benoit-Olivier Groulx | C/LW | 25 | 600,000$ | 600,000$ | RFA | ||||||
| Brennan Othmann | LW | 22 | 863,333$ | 863,333$ | 863,333$ | ||||||
| Brian Halonen | LW/RW | 26 | 475,000$ | 475,000$ | RFA | ||||||
| Cole Knuble | C/RW | 20 | 500,000$ | 500,000$ | 500,000$ | ||||||
| Drew O'Connor | LW/RW | 27 | 500,000$ | 500,000$ | 500,000$ | RFA | |||||
| Dylan Coghlan | D | 27 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | 450,000$ | ||||
| Erik Portillo | G | 24 | 783,333$ | 783,333$ | 783,333$ | 783,333$ | RFA | ||||
| Ethan Bear | D | 28 | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | |||||
| Ilya Samsonov | G | 28 | 1,800,000$ | 1,800,000$ | 1,800,000$ | RFA | |||||
| Jan Bednar | G | 22 | 450,000$ | 450,000$ | 450,000$ | ||||||
| Jayson Shaugabay | C | 20 | 500,000$ | 500,000$ | 500,000$ | ||||||
| Joel Blomqvist | G | 23 | 886,667$ | 886,667$ | 886,667$ | ||||||
| Joel Hanley | D | 34 | 600,000$ | 600,000$ | 600,000$ | UFA | |||||
| Jonathan Lekkerimaki | RW | 20 | 875,000$ | 875,000$ | |||||||
| Jonny Brodzinski | C/RW | 32 | 450,000$ | 450,000$ | 450,000$ | UFA | |||||
| Jordan Greenway | C/LW | 28 | 1,500,000$ | 1,500,000$ | RFA | ||||||
| Josh Mahura | D | 27 | 475,000$ | 475,000$ | 475,000$ | 475,000$ | RFA | ||||
| Justin Brazeau | LW/RW | 27 | 500,000$ | 500,000$ | 500,000$ | 500,000$ | RFA | ||||
| Ludvig Jansson | D | 21 | 550,000$ | 550,000$ | |||||||
| Marc-Andre Gaudet | D | 21 | 450,000$ | 450,000$ | |||||||
| Matthew Morden | D | 20 | 475,000$ | 475,000$ | |||||||
| Mattias Samuelsson | D | 25 | 2,150,000$ | 2,150,000$ | 2,150,000$ | 2,150,000$ | 2,150,000$ | RFA | |||
| Melker Thelin | G | 20 | 475,000$ | 475,000$ | 475,000$ | ||||||
| Mitchell Chaffee | RW | 27 | 450,000$ | 450,000$ | 450,000$ | 450,000$ | RFA | ||||
| Nick DeSimone | D | 30 | 450,000$ | 450,000$ | |||||||
| Noah Gregor | LW/RW | 26 | 450,000$ | 450,000$ | RFA | ||||||
| Oskar Jellvik | C/LW | 22 | 500,000$ | 500,000$ | |||||||
| Oskar Sundqvist | C/RW | 31 | 500,000$ | 500,000$ | 500,000$ | ||||||
| Ozzy Wiesblatt | C/LW/RW | 23 | 835,833$ | 835,833$ | |||||||
| Ryan Winterton | C/LW/RW | 21 | 828,333$ | 828,333$ | 828,333$ | ||||||
| William Whitelaw | C | 20 | 625,000$ | 625,000$ | 625,000$ | ||||||
| Yegor Yegorov | G | 19 | 450,000$ | 450,000$ | 450,000$ | ||||||
| Yevgeni Dadonov | LW/RW | 36 | 1,150,000$ | 1,150,000$ | 1,150,000$ | 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 | HK | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3.50 | 4.50 | -1.00 | 1 | 0.250 | 3.5 | 5.5 | 9.0 | 0 | 0 | 76 | 71 | 62 | 6 | 37.0 | 552 | 575 | 587 | 37 | 26.5 | 8.0 | 9.00 | 22.0 | 3.50 | 0.50 | 14.29% | 4.50 | 1.00 | 77.78% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 636.50 | 439.00 | 538.00 | 188.50 | 339.00 | 175.50 | 46.2% | 9.5% | 83.0% | 92.5 | FUN |
| 2 | Ninjas | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.50 | 1.50 | 3.00 | 4 | 1.000 | 4.5 | 8.5 | 13.0 | 0 | 0 | 76 | 71 | 62 | 6 | 32.0 | 552 | 575 | 587 | 37 | 17.0 | 6.5 | 7.00 | 21.0 | 3.50 | 1.00 | 28.57% | 3.50 | 1.00 | 71.43% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 636.50 | 439.00 | 538.00 | 188.50 | 339.00 | 175.50 | 87.5% | 14.1% | 91.2% | 105.2 | LUCKY |
| 3 | Junior Wolves | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4.00 | 3.00 | 1.00 | 2 | 1.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 76 | 71 | 62 | 6 | 25.0 | 552 | 575 | 587 | 37 | 38.0 | 15.0 | 6.00 | 21.0 | 4.00 | 2.00 | 50.00% | 2.00 | 0.00 | 100.00% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 1,273.00 | 878.00 | 1,076.00 | 377.00 | 678.00 | 351.00 | 40.0% | 16.0% | 92.1% | 108.1 | LUCKY |
| 4 | Bulldogs | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 1.50 | 3.50 | 4 | 1.000 | 5.0 | 9.5 | 14.5 | 0 | 0 | 76 | 71 | 62 | 6 | 35.5 | 552 | 575 | 587 | 37 | 31.0 | 10.0 | 5.00 | 19.5 | 3.00 | 0.00 | 0.00% | 2.00 | 1.00 | 50.00% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 636.50 | 439.00 | 538.00 | 188.50 | 339.00 | 175.50 | 90.9% | 14.1% | 95.2% | 109.2 | LUCKY |
| 5 | Shockers | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3.50 | 3.00 | 0.50 | 3 | 0.750 | 3.5 | 5.5 | 9.0 | 0 | 0 | 76 | 71 | 62 | 6 | 32.5 | 552 | 575 | 587 | 37 | 32.5 | 8.5 | 1.00 | 22.5 | 5.50 | 0.50 | 9.09% | 0.50 | 0.50 | 0.00% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 636.50 | 439.00 | 538.00 | 188.50 | 339.00 | 175.50 | 54.5% | 10.8% | 90.8% | 101.5 | FUN |
| 6 | Sailors | 5 | 3 | 0 | 0 | 1 | 0 | 1 | 0 | 4.40 | 2.80 | 1.60 | 10 | 1.000 | 4.4 | 7.2 | 11.6 | 0 | 0 | 76 | 71 | 62 | 6 | 31.2 | 552 | 575 | 587 | 37 | 28.6 | 6.4 | 6.00 | 23.0 | 3.40 | 0.80 | 23.53% | 2.80 | 0.20 | 92.86% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 254.60 | 175.60 | 215.20 | 75.40 | 135.60 | 70.20 | 58.1% | 14.1% | 90.2% | 104.3 | FUN |
| 7 | Devils | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 2.00 | 3.00 | 4 | 1.000 | 5.0 | 8.5 | 13.5 | 0 | 0 | 76 | 71 | 62 | 6 | 28.0 | 552 | 575 | 587 | 37 | 25.5 | 11.5 | 4.00 | 17.5 | 2.50 | 1.00 | 40.00% | 2.00 | 0.50 | 75.00% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 636.50 | 439.00 | 538.00 | 188.50 | 339.00 | 175.50 | 72.7% | 17.9% | 92.2% | 110.0 | LUCKY |
| 8 | Eagles | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 3.20 | 3.80 | -0.60 | 4 | 0.400 | 3.2 | 6.0 | 9.2 | 0 | 1 | 76 | 71 | 62 | 6 | 33.0 | 552 | 575 | 587 | 37 | 32.6 | 9.6 | 7.60 | 17.0 | 3.00 | 0.80 | 26.67% | 3.60 | 0.40 | 88.89% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 254.60 | 175.60 | 215.20 | 75.40 | 135.60 | 70.20 | 41.4% | 9.7% | 88.3% | 98.0 | FUN |
| 9 | Ravens | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5.50 | 1.00 | 4.50 | 4 | 1.000 | 5.5 | 10.5 | 16.0 | 0 | 0 | 76 | 71 | 62 | 6 | 43.5 | 552 | 575 | 587 | 37 | 21.0 | 5.0 | 5.00 | 22.5 | 5.00 | 1.50 | 30.00% | 1.50 | 0.00 | 100.00% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 636.50 | 439.00 | 538.00 | 188.50 | 339.00 | 175.50 | 80.0% | 12.6% | 95.2% | 107.9 | LUCKY |
| 10 | Venom | 5 | 2 | 2 | 0 | 0 | 0 | 1 | 0 | 3.00 | 2.80 | 0.20 | 6 | 0.600 | 3.0 | 5.0 | 8.0 | 0 | 0 | 76 | 71 | 62 | 6 | 32.2 | 552 | 575 | 587 | 37 | 27.6 | 10.4 | 6.00 | 23.2 | 3.40 | 0.20 | 5.88% | 2.40 | 0.60 | 75.00% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 254.60 | 175.60 | 215.20 | 75.40 | 135.60 | 70.20 | 56.0% | 9.3% | 89.9% | 99.2 | FUN |
| 11 | Indians | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3.00 | 2.00 | 1.00 | 2 | 0.500 | 3.0 | 5.5 | 8.5 | 0 | 1 | 76 | 71 | 62 | 6 | 32.0 | 552 | 575 | 587 | 37 | 31.0 | 11.0 | 6.00 | 17.0 | 4.50 | 0.50 | 11.11% | 2.50 | 0.00 | 100.00% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 636.50 | 439.00 | 538.00 | 188.50 | 339.00 | 175.50 | 55.6% | 9.4% | 93.5% | 102.9 | LUCKY |
| 12 | Squirrels | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 6.25 | 1.25 | 5.00 | 8 | 1.000 | 6.3 | 10.8 | 17.0 | 0 | 1 | 76 | 71 | 62 | 6 | 38.0 | 552 | 575 | 587 | 37 | 28.3 | 7.0 | 6.00 | 21.8 | 4.50 | 1.50 | 33.33% | 3.00 | 0.50 | 83.33% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 318.25 | 219.50 | 269.00 | 94.25 | 169.50 | 87.75 | 86.4% | 16.4% | 95.6% | 112.0 | LUCKY |
| 13 | Blades | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.00 | 2.00 | 2 | 1.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 76 | 71 | 62 | 6 | 22.0 | 552 | 575 | 587 | 37 | 21.0 | 5.0 | 10.00 | 28.0 | 2.00 | 1.00 | 50.00% | 5.00 | 0.00 | 100.00% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 1,273.00 | 878.00 | 1,076.00 | 377.00 | 678.00 | 351.00 | 60.0% | 18.2% | 90.5% | 108.7 | FUN |
| 14 | Barking Spiders | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 1.50 | 2.50 | 4 | 1.000 | 4.0 | 6.0 | 10.0 | 0 | 0 | 76 | 71 | 62 | 6 | 33.5 | 552 | 575 | 587 | 37 | 24.5 | 9.0 | 8.00 | 24.0 | 1.00 | 0.00 | 0.00% | 4.00 | 0.50 | 87.50% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 636.50 | 439.00 | 538.00 | 188.50 | 339.00 | 175.50 | 80.0% | 11.9% | 93.9% | 105.8 | LUCKY |
| 15 | Space Invaders | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5.00 | 2.00 | 3.00 | 2 | 1.000 | 5.0 | 9.0 | 14.0 | 0 | 0 | 76 | 71 | 62 | 6 | 27.0 | 552 | 575 | 587 | 37 | 26.0 | 8.0 | 4.00 | 31.0 | 2.00 | 1.00 | 50.00% | 2.00 | 1.00 | 50.00% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 1,273.00 | 878.00 | 1,076.00 | 377.00 | 678.00 | 351.00 | 80.0% | 18.5% | 92.3% | 110.8 | LUCKY |
| 16 | Checkers | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6.50 | 3.50 | 3.00 | 4 | 1.000 | 6.5 | 11.0 | 17.5 | 0 | 0 | 76 | 71 | 62 | 6 | 47.0 | 552 | 575 | 587 | 37 | 32.0 | 8.5 | 5.00 | 18.5 | 5.50 | 2.50 | 45.45% | 2.50 | 1.00 | 60.00% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 636.50 | 439.00 | 538.00 | 188.50 | 339.00 | 175.50 | 61.5% | 13.8% | 89.1% | 102.9 | FUN |
| 17 | Vikings | 5 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 4.60 | 3.80 | 0.80 | 7 | 0.700 | 4.6 | 7.4 | 12.0 | 0 | 0 | 76 | 71 | 62 | 6 | 34.4 | 552 | 575 | 587 | 37 | 34.2 | 6.8 | 4.00 | 29.0 | 1.60 | 0.20 | 12.50% | 1.60 | 0.20 | 87.50% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 254.60 | 175.60 | 215.20 | 75.40 | 135.60 | 70.20 | 55.0% | 13.4% | 88.9% | 102.3 | FUN |
| 18 | Thistles | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5.00 | 6.00 | -1.00 | 0 | 0.000 | 5.0 | 9.0 | 14.0 | 0 | 0 | 76 | 71 | 62 | 6 | 37.0 | 552 | 575 | 587 | 37 | 37.0 | 13.0 | 6.00 | 17.0 | 4.00 | 1.00 | 25.00% | 2.00 | 0.00 | 100.00% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 1,273.00 | 878.00 | 1,076.00 | 377.00 | 678.00 | 351.00 | 40.0% | 13.5% | 83.8% | 97.3 | FUN |
| 19 | Barracudas | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 2.50 | 1.50 | 4 | 1.000 | 4.0 | 8.0 | 12.0 | 0 | 0 | 76 | 71 | 62 | 6 | 43.5 | 552 | 575 | 587 | 37 | 37.5 | 13.0 | 3.00 | 22.0 | 3.50 | 1.00 | 28.57% | 1.50 | 1.00 | 33.33% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 636.50 | 439.00 | 538.00 | 188.50 | 339.00 | 175.50 | 66.7% | 9.2% | 93.3% | 102.5 | LUCKY |
| 20 | Senators | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2.00 | 6.00 | -4.00 | 0 | 0.000 | 2.0 | 4.0 | 6.0 | 0 | 0 | 76 | 71 | 62 | 6 | 48.0 | 552 | 575 | 587 | 37 | 20.0 | 9.0 | 4.00 | 22.0 | 4.00 | 1.00 | 25.00% | 2.00 | 2.00 | 0.00% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 1,273.00 | 878.00 | 1,076.00 | 377.00 | 678.00 | 351.00 | 20.0% | 4.2% | 70.0% | 74.2 | Unlucky |
| 21 | Pimps | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4.00 | 1.00 | 3.00 | 2 | 1.000 | 4.0 | 7.0 | 11.0 | 0 | 0 | 76 | 71 | 62 | 6 | 44.0 | 552 | 575 | 587 | 37 | 29.0 | 9.0 | 0.00 | 9.0 | 6.00 | 1.00 | 16.67% | 0.00 | 0.00 | 0.00% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 1,273.00 | 878.00 | 1,076.00 | 377.00 | 678.00 | 351.00 | 75.0% | 9.1% | 96.6% | 105.6 | LUCKY |
| _Vs Division | 26 | 14 | 7 | 0 | 1 | 1 | 2 | 1 | 4.15 | 3.08 | 1.08 | 36 | 0.692 | 4.2 | 7.0 | 11.2 | 0 | 2 | 76 | 71 | 62 | 6 | 33.8 | 552 | 575 | 587 | 37 | 30.0 | 8.1 | 6.15 | 22.8 | 3.15 | 0.65 | 20.73% | 2.81 | 0.42 | 84.93% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 48.96 | 33.77 | 41.38 | 14.50 | 26.08 | 13.50 | 56.9% | 12.3% | 89.8% | 102.0 | FUN | |
| _Vs Conference | 32 | 17 | 8 | 0 | 2 | 1 | 2 | 2 | 4.31 | 3.16 | 1.16 | 45 | 0.703 | 4.3 | 7.3 | 11.6 | 0 | 2 | 76 | 71 | 62 | 6 | 34.5 | 552 | 575 | 587 | 37 | 30.4 | 8.3 | 5.69 | 22.6 | 3.44 | 0.78 | 22.73% | 2.59 | 0.47 | 81.93% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 39.78 | 27.44 | 33.63 | 11.78 | 21.19 | 10.97 | 56.8% | 12.5% | 89.6% | 102.1 | FUN | |
| _Since Last GM Reset | 50 | 32 | 10 | 0 | 3 | 1 | 2 | 2 | 4.28 | 2.74 | 1.54 | 77 | 0.770 | 4.3 | 7.4 | 11.7 | 0 | 3 | 76 | 71 | 62 | 6 | 34.8 | 552 | 575 | 587 | 37 | 29.1 | 8.7 | 5.56 | 21.8 | 3.44 | 0.80 | 23.26% | 2.52 | 0.50 | 80.16% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 25.46 | 17.56 | 21.52 | 7.54 | 13.56 | 7.02 | 60.8% | 12.3% | 90.6% | 102.9 | FUN | |
| Total | 50 | 32 | 10 | 0 | 3 | 1 | 2 | 2 | 4.28 | 2.74 | 1.54 | 77 | 0.770 | 4.3 | 7.4 | 11.7 | 0 | 3 | 76 | 71 | 62 | 6 | 34.8 | 552 | 575 | 587 | 37 | 29.1 | 8.7 | 5.56 | 21.8 | 3.44 | 0.80 | 23.26% | 2.52 | 0.50 | 80.16% | 0 | 883 | 1812 | 48.73% | 828 | 1641 | 50.46% | 430 | 863 | 49.83% | 25.46 | 17.56 | 21.52 | 7.54 | 13.56 | 7.02 | 60.8% | 12.3% | 90.6% | 102.9 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 25 |
| Neutral Zone | 13 |
| Defensive Zone | 21 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 1812 |
| Neutral Zone Start | 863 |
| Defensive Zone Start | 1641 |
| Puck Time | |
|---|---|
| With Puck | 32 |
| Without Puck | 28 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 2141 |
| Faceoffs Lost | 2175 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.0 | 9.57 |
| 2nd Period | 22.5 | 20.31 |
| 3rd Period | 34.3 | 30.68 |
| Overtime | 35.0 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.5 | 0.64 |
| 2nd Period | 2.9 | 1.65 |
| 3rd Period | 4.2 | 2.67 |
| Overtime | 4.3 | 2.83 |
| Even Strenght Goal | 174 |
|---|---|
| PP Goal | 40 |
| PK Goal | 0 |
| Empty Net Goal | 0 |
| Home | Away | |
|---|---|---|
| Win | 16 | 21 |
| Lost | 6 | 4 |
| Overtime Lost | 3 | 0 |
| PP Attempt | 172 |
|---|---|
| PP Goal | 40 |
| PK Attempt | 126 |
| PK Goal Against | 25 |
| Home | |
|---|---|
| Shots For | 34.8 |
| Shots Against | 29.1 |
| Goals For | 4.3 |
| Goals Against | 2.7 |
| Hits | 21.8 |
| Shots Blocked | 8.7 |
| Pim | 5.6 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,564,749$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Hof | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 35$ | 15$ | $ | $ | $ |
| Attendance | 40319 | 20168 | |||
| Attendance PCT | 80.64% | 80.67% | 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 |
| 16 | 2419 - 80.65% | 68,547$ | 1,713,685$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,564,749$ | 2,564,749$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 1,617,837$ | 12,911$ | 1,584,444$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 1,096,758$ | 69 | 13,220$ | 912,180$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 912,180$ | 0$ | 0$ | 0$ |
| Sponsors | |||
|---|---|---|---|
| TV Rights | Primary Sponsor | Secondary Sponsor | Secondary Sponsor |
Rookie
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Hot Streak | Left Wing | Center | Right Wing |
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