*** Dernier droit pour les séries ou le mix ... Bonne chance!!!! ***
Last update: 2025-04-19 22:29:39
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Dillon Dube | 69 | C/LW/RW | 100.00 | 72 | 47 | 86 | 73 | 73 | 65 | 84 | 60 | 66 | 64 | 64 | 65 | 59 | 64 | 59 | 0 | 50 | 69 | 26 | 2,300,000$/1yrs | |||
Denis Malgin | 0 | C | 100.00 | 70 | 38 | 86 | 68 | 71 | 58 | 68 | 59 | 51 | 67 | 66 | 67 | 51 | 59 | 55 | 0 | 50 | 68 | 28 | 775,000$/1yrs | |||
Hendrix Lapierre | 20 | C | 100.00 | 61 | 51 | 84 | 74 | 66 | 64 | 65 | 63 | 64 | 62 | 64 | 63 | 55 | 56 | 56 | 0 | 50 | 67 | 23 | 1,105,833$/2yrs | |||
Nicklas Backstrom | 19 | C | 100.00 | 62 | 40 | 79 | 71 | 79 | 73 | 65 | 58 | 76 | 64 | 57 | 61 | 62 | 89 | 73 | 0 | 50 | 67 | 37 | 9,200,000$/2yrs | |||
Nils Aman | 0 | C | 100.00 | 67 | 44 | 84 | 65 | 66 | 61 | 70 | 58 | 68 | 62 | 60 | 72 | 55 | 58 | 58 | 0 | 50 | 66 | 25 | 925,000$/3yrs | |||
Karson Kuhlman | 20 | RW | 100.00 | 59 | 52 | 75 | 64 | 67 | 68 | 69 | 58 | 54 | 61 | 59 | 65 | 56 | 65 | 59 | 0 | 50 | 65 | 29 | 775,000$/1yrs | |||
Brendan Gaunce | 16 | C | 100.00 | 60 | 55 | 73 | 62 | 77 | 63 | 61 | 60 | 73 | 59 | 60 | 65 | 55 | 67 | 61 | 0 | 50 | 65 | 31 | 762,500$/1yrs | |||
Callahan Burke | 68 | C/RW | 100.00 | 56 | 58 | 69 | 63 | 63 | 68 | 65 | 62 | 56 | 61 | 61 | 65 | 57 | 64 | 58 | 0 | 50 | 65 | 28 | 775,000$/2yrs | |||
Chris Wagner | 14 | C/RW | 100.00 | 62 | 62 | 72 | 62 | 69 | 63 | 61 | 58 | 72 | 57 | 60 | 63 | 56 | 72 | 63 | 0 | 50 | 64 | 33 | 775,000$/2yrs | |||
Austin Poganski | 72 | RW | 100.00 | 56 | 58 | 66 | 60 | 68 | 68 | 66 | 60 | 55 | 59 | 58 | 63 | 54 | 65 | 59 | 0 | 50 | 64 | 29 | 750,000$/1yrs | |||
Kyle MacLean | 32 | C/LW | 100.00 | 63 | 60 | 73 | 60 | 69 | 64 | 64 | 59 | 69 | 60 | 60 | 64 | 55 | 59 | 57 | 0 | 50 | 64 | 25 | 800,000$/4yrs | |||
Nolan Stevens | 21 | C/LW | 100.00 | 55 | 56 | 67 | 57 | 70 | 65 | 63 | 58 | 66 | 58 | 57 | 64 | 55 | 65 | 59 | 0 | 50 | 63 | 28 | 775,000$/1yrs | |||
Matt Irwin | 0 | D | 100.00 | 61 | 59 | 73 | 66 | 72 | 67 | 68 | 57 | 40 | 61 | 57 | 72 | 54 | 78 | 65 | 0 | 50 | 67 | 37 | 775,000$/1yrs | |||
Grant Hutton | 77 | D | 100.00 | 56 | 54 | 69 | 58 | 75 | 65 | 64 | 57 | 41 | 58 | 56 | 64 | 55 | 67 | 60 | 0 | 50 | 63 | 29 | 775,000$/2yrs | |||
Nate Clurman | 84 | D | 100.00 | 55 | 54 | 67 | 56 | 70 | 63 | 62 | 55 | 40 | 55 | 54 | 63 | 54 | 62 | 57 | 0 | 50 | 61 | 26 | 775,000$/2yrs | |||
Mason Geertsen | 55 | C/LWD | 100.00 | 59 | 55 | 61 | 58 | 61 | 67 | 66 | 55 | 55 | 54 | 56 | 61 | 54 | 67 | 60 | 0 | 50 | 61 | 30 | 775,000$/2yrs | |||
Griffin Mendel | 45 | D | 100.00 | 56 | 55 | 67 | 57 | 62 | 65 | 63 | 56 | 40 | 56 | 56 | 61 | 54 | 60 | 56 | 0 | 50 | 61 | 26 | 790,000$/1yrs | |||
Calle Sjalin | 79 | D | 100.00 | 55 | 55 | 68 | 57 | 64 | 61 | 60 | 55 | 40 | 56 | 55 | 61 | 54 | 60 | 56 | 0 | 50 | 60 | 25 | 925,000$/1yrs | |||
| Scratches | ||||||||||||||||||||||||||
Spencer Smallman | 75 | LW/RW | 100.00 | 56 | 57 | 66 | 58 | 67 | 66 | 64 | 58 | 55 | 57 | 58 | 63 | 54 | 65 | 59 | 0 | 50 | 63 | 28 | 762,500$/1yrs | |||
Chase Wouters | 73 | C/LW | 100.00 | 56 | 54 | 65 | 59 | 66 | 69 | 66 | 59 | 70 | 58 | 57 | 63 | 54 | 58 | 55 | 0 | 50 | 63 | 25 | 863,334$/2yrs | |||
Justin Richards | 90 | C/RW | 100.00 | 55 | 55 | 67 | 58 | 63 | 67 | 65 | 58 | 70 | 58 | 57 | 62 | 54 | 61 | 57 | 0 | 50 | 62 | 27 | 775,000$/1yrs | |||
Shawn Element | 13 | C | 100.00 | 58 | 56 | 63 | 59 | 65 | 67 | 66 | 58 | 70 | 57 | 57 | 63 | 54 | 58 | 55 | 0 | 50 | 62 | 24 | 775,000$/1yrs | |||
Joe Carroll | 85 | C/LW | 100.00 | 56 | 59 | 67 | 57 | 69 | 64 | 62 | 58 | 55 | 57 | 57 | 63 | 58 | 56 | 54 | 0 | 50 | 62 | 24 | 775,000$/1yrs | |||
Nathan Gaucher (R) | 0 | C | 100.00 | 53 | 52 | 62 | 56 | 70 | 67 | 65 | 56 | 67 | 55 | 55 | 63 | 51 | 51 | 49 | 0 | 50 | 61 | 21 | 1,160,833$/4yrs | |||
Noah Philp | 61 | C/LW | 100.00 | 52 | 59 | 61 | 57 | 63 | 65 | 63 | 57 | 52 | 54 | 58 | 58 | 51 | 58 | 53 | 0 | 50 | 60 | 26 | 750,000$/2yrs | |||
Lian Bichsel (R) | 0 | D | 100.00 | 56 | 51 | 64 | 52 | 55 | 54 | 54 | 52 | 38 | 53 | 51 | 57 | 51 | 49 | 48 | 0 | 50 | 56 | 20 | 1,450,000$/4yrs | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Matt Murray | 30 | 100.00 | 61 | 60 | 60 | 75 | 66 | 60 | 70 | 60 | 65 | 65 | 63 | 70 | 63 | 0 | 50 | 65 | 30 | 6,250,000$/1yrs |
Pavel Cajan | 34 | 100.00 | 58 | 61 | 61 | 63 | 65 | 59 | 67 | 62 | 60 | 61 | 60 | 53 | 51 | 0 | 50 | 62 | 22 | 775,000$/1yrs |
| Scratches | ||||||||||||||||||||
Zach Sawchenko | 31 | 100.00 | 58 | 59 | 59 | 60 | 66 | 55 | 68 | 59 | 59 | 59 | 67 | 63 | 57 | 0 | 50 | 62 | 27 | 775,000$/2yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Pierre Houde | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 67 | 5 | 0$ |
| 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 | Matt Irwin | Admirals (NAS) | D | 82 | 18 | 60 | 78 | -11 | 74 | 0 | 152 | 172 | 48 | 114 | 10.47% | 143 | 23.02 | 11 | 17 | 28 | 1 | 2 | 3 | 228 | 1 | 0 | 0.00% | 0 | 0 | 0.95 | 0 | 0 | 0.73 | |||
| 2 | Karson Kuhlman | Admirals (NAS) | RW | 82 | 31 | 41 | 72 | 6 | 38 | 0 | 128 | 255 | 64 | 158 | 12.16% | 24 | 20.02 | 9 | 14 | 23 | 0 | 2 | 2 | 252 | 2 | 0 | 48.61% | 0 | 0 | 0.88 | 1 | 5 | 0.86 | |||
| 3 | Nicklas Backstrom | Admirals (NAS) | C | 72 | 18 | 51 | 69 | -3 | 36 | 0 | 86 | 227 | 57 | 143 | 7.93% | 19 | 18.96 | 1 | 16 | 17 | 0 | 0 | 0 | 67 | 2 | 0 | 58.63% | 0 | 0 | 0.96 | 0 | 1 | 0.87 | |||
| 4 | Callahan Burke | Admirals (NAS) | C/RW | 79 | 28 | 36 | 64 | 3 | 50 | 10 | 109 | 280 | 59 | 192 | 10.00% | 20 | 19.30 | 6 | 13 | 19 | 1 | 1 | 2 | 176 | 5 | 2 | 47.97% | 0 | 0 | 0.81 | 1 | 4 | 0.81 | |||
| 5 | Brendan Gaunce | Admirals (NAS) | C | 82 | 26 | 36 | 62 | -7 | 37 | 5 | 117 | 227 | 59 | 183 | 11.45% | 25 | 19.08 | 9 | 17 | 26 | 1 | 0 | 1 | 244 | 4 | 0 | 58.02% | 0 | 0 | 0.76 | 1 | 3 | 0.72 | |||
| 6 | Kyle MacLean | Admirals (NAS) | C/LW | 82 | 25 | 33 | 58 | 6 | 44 | 10 | 137 | 206 | 51 | 149 | 12.14% | 19 | 18.28 | 10 | 10 | 20 | 1 | 0 | 1 | 161 | 2 | 0 | 54.47% | 0 | 0 | 0.71 | 1 | 1 | 0.69 | |||
| 7 | Chase Wouters | Admirals (NAS) | C/LW | 74 | 27 | 30 | 57 | -1 | 28 | 0 | 101 | 179 | 55 | 119 | 15.08% | 10 | 15.76 | 5 | 10 | 15 | 0 | 0 | 0 | 0 | 0 | 4 | 52.70% | 0 | 1 | 0.77 | 0 | 0 | 0.72 | |||
| 8 | Grant Hutton | Admirals (NAS) | D | 78 | 11 | 38 | 49 | 10 | 55 | 5 | 144 | 112 | 32 | 90 | 9.82% | 107 | 21.93 | 4 | 10 | 14 | 0 | 0 | 0 | 226 | 1 | 0 | 0.00% | 0 | 0 | 0.63 | 0 | 0 | 0.58 | |||
| 9 | Nils Aman | Admirals (NAS) | C | 69 | 20 | 26 | 46 | -4 | 20 | 0 | 79 | 189 | 56 | 126 | 10.58% | 19 | 14.69 | 3 | 3 | 6 | 0 | 1 | 1 | 94 | 3 | 1 | 51.60% | 0 | 0 | 0.67 | 0 | 2 | 0.65 | |||
| 10 | Austin Poganski | Admirals (NAS) | RW | 82 | 19 | 23 | 42 | -9 | 49 | 5 | 92 | 178 | 45 | 128 | 10.67% | 16 | 14.30 | 1 | 3 | 4 | 0 | 0 | 0 | 69 | 2 | 1 | 54.97% | 0 | 0 | 0.51 | 0 | 0 | 0.44 | |||
| 11 | Hendrix Lapierre | Admirals (NAS) | C | 78 | 19 | 21 | 40 | -1 | 12 | 0 | 55 | 180 | 44 | 109 | 10.56% | 4 | 10.33 | 1 | 0 | 1 | 0 | 0 | 0 | 17 | 2 | 2 | 50.14% | 0 | 0 | 0.51 | 0 | 1 | 0.53 | |||
| 12 | Griffin Mendel | Admirals (NAS) | D | 77 | 10 | 30 | 40 | 5 | 40 | 0 | 112 | 59 | 8 | 47 | 16.95% | 86 | 18.26 | 1 | 4 | 5 | 0 | 0 | 0 | 113 | 1 | 0 | 0.00% | 0 | 0 | 0.52 | 0 | 0 | 0.43 | |||
| 13 | Mason Geertsen | Admirals (NAS) | C/LW/D | 80 | 10 | 23 | 33 | 5 | 66 | 0 | 201 | 85 | 31 | 69 | 11.76% | 112 | 19.54 | 5 | 8 | 13 | 0 | 0 | 0 | 239 | 0 | 0 | 100.00% | 0 | 0 | 0.41 | 1 | 3 | 0.38 | |||
| 14 | Nate Clurman | Admirals (NAS) | D | 75 | 8 | 24 | 32 | -15 | 64 | 0 | 109 | 61 | 24 | 35 | 13.11% | 85 | 18.31 | 2 | 3 | 5 | 0 | 0 | 0 | 137 | 1 | 0 | 0.00% | 0 | 1 | 0.43 | 0 | 0 | 0.22 | |||
| 15 | Chris Wagner | Admirals (NAS) | C/RW | 82 | 11 | 13 | 24 | 6 | 22 | 0 | 61 | 99 | 31 | 74 | 11.11% | 5 | 7.39 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 0 | 52.12% | 0 | 0 | 0.29 | 0 | 0 | 0.31 | |||
| 16 | Spencer Smallman | Admirals (NAS) | LW/RW | 64 | 8 | 16 | 24 | -1 | 24 | 0 | 65 | 97 | 15 | 73 | 8.25% | 6 | 10.90 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 49.06% | 0 | 0 | 0.38 | 0 | 0 | 0.34 | |||
| 17 | Nolan Stevens | Admirals (NAS) | C/LW | 82 | 8 | 13 | 21 | 2 | 16 | 0 | 43 | 90 | 20 | 74 | 8.89% | 10 | 7.54 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 1 | 0 | 50.88% | 0 | 0 | 0.26 | 0 | 0 | 0.27 | |||
| 18 | Calle Sjalin | Admirals (NAS) | D | 43 | 4 | 14 | 18 | 4 | 34 | 0 | 62 | 29 | 10 | 17 | 13.79% | 37 | 16.31 | 1 | 0 | 1 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 0 | 0.42 | 0 | 0 | 0.30 | |||
| 19 | Dillon Dube | Admirals (NAS) | C/LW/RW | 17 | 9 | 8 | 17 | -4 | 10 | 0 | 23 | 80 | 22 | 52 | 11.25% | 1 | 17.18 | 4 | 3 | 7 | 0 | 0 | 0 | 2 | 4 | 0 | 57.14% | 0 | 0 | 1.00 | 0 | 1 | 0.99 | |||
| 20 | Joe Carroll | Admirals (NAS) | C/LW | 19 | 4 | 7 | 11 | 3 | 8 | 0 | 23 | 31 | 7 | 32 | 12.90% | 4 | 11.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 48.15% | 0 | 0 | 0.58 | 0 | 0 | 0.56 | |||
| 21 | Denis Malgin | Admirals (NAS) | C | 8 | 1 | 4 | 5 | -1 | 4 | 0 | 11 | 14 | 4 | 9 | 7.14% | 2 | 14.13 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 50.00% | 0 | 0 | 0.63 | 0 | 0 | 0.45 | |||
| 22 | Justin Richards | Admirals (NAS) | C/RW | 5 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 2 | 1 | 1 | 50.00% | 0 | 4.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.40 | 0 | 0 | 0.32 | |||
| 23 | Lian Bichsel | Admirals (NAS) | D | 5 | 0 | 2 | 2 | 1 | 6 | 0 | 9 | 2 | 0 | 1 | 0.00% | 5 | 17.57 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.40 | 0 | 0 | 0.24 | |||
| 24 | Shawn Element | Admirals (NAS) | C | 10 | 1 | 1 | 2 | 3 | 0 | 0 | 1 | 1 | 2 | 1 | 100.00% | 1 | 2.56 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 35.00% | 0 | 0 | 0.20 | 0 | 0 | 0.25 | |||
| Team Total or Average | 1427 | 317 | 551 | 868 | -3 | 737 | 35 | 1921 | 2855 | 745 | 1996 | 11.10% | 760 | 16.18 | 73 | 131 | 204 | 2620 | 4 | 6 | 10 | 2119 | 34 | 10 | 54.01% | 7545 | 0 | 0 | 0 | 2 | 0.75 | 5 | 21 |
| 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 | Matt Murray | Admirals (NAS) | 47 | 22 | 14 | 3 | 0.889 | 3.93 | 2518 | 4 | 0 | 165 | 1485 | 0 | 0 | 0 | 0.769 | 13 | 43 | 33 | 3 | 0 | 1 |
| 2 | Pavel Cajan | Admirals (NAS) | 5 | 1 | 3 | 1 | 0.861 | 5.48 | 230 | 0 | 0 | 21 | 151 | 0 | 0 | 0 | 0.000 | 0 | 3 | 24 | 0 | 0 | 0 |
| Team Total or Average | 52 | 23 | 17 | 4 | 0.886 | 4.06 | 2748 | 4 | 0 | 186 | 1636 | 0 | 0 | 0 | 0.769 | 13 | 46 | 57 | 3 | 0 | 1 |
| Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Austin Poganski ![]() | RW | 29 | 750,000$ | 750,000$ | UFA | ||||||
Brendan Gaunce ![]() | C | 31 | 762,500$ | 762,500$ | UFA | ||||||
Callahan Burke ![]() | C/RW | 28 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Calle Sjalin ![]() | D | 25 | 925,000$ | 925,000$ | UFA | ||||||
Chase Wouters ![]() | C/LW | 25 | 863,334$ | 863,334$ | 825,000$ | UFA | |||||
Chris Wagner ![]() | C/RW | 33 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Denis Malgin ![]() | C | 28 | 775,000$ | 775,000$ | UFA | ||||||
Dillon Dube ![]() | C/LW/RW | 26 | 2,300,000$ | 2,300,000$ | UFA | ||||||
Grant Hutton ![]() | D | 29 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Griffin Mendel ![]() | D | 26 | 790,000$ | 790,000$ | UFA | ||||||
Hendrix Lapierre | C | 23 | 1,105,833$ | 1,105,833$ | 1,105,833$ | RFA | |||||
Joe Carroll | C/LW | 24 | 775,000$ | 775,000$ | RFA | ||||||
Justin Richards ![]() | C/RW | 27 | 775,000$ | 775,000$ | UFA | ||||||
Karson Kuhlman ![]() | RW | 29 | 775,000$ | 775,000$ | UFA | ||||||
Kyle MacLean ![]() | C/LW | 25 | 800,000$ | 800,000$ | 775,000$ | 775,000$ | 775,000$ | UFA | |||
Lian Bichsel | D | 20 | 1,450,000$ | 1,450,000$ | 1,418,333$ | 1,418,333$ | 1,418,333$ | RFA | |||
Mason Geertsen ![]() | C/LW/D | 30 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Matt Irwin ![]() | D | 37 | 775,000$ | 775,000$ | UFA | ||||||
Matt Murray ![]() | G | 30 | 6,250,000$ | 6,250,000$ | UFA | ||||||
Nate Clurman ![]() | D | 26 | 775,000$ | 775,000$ | 775,000$ | UFA | |||||
Nathan Gaucher | C | 21 | 1,160,833$ | 1,160,833$ | 1,129,167$ | 1,129,167$ | 1,129,167$ | RFA | |||
Nicklas Backstrom ![]() | C | 37 | 9,200,000$ | 9,200,000$ | 9,200,000$ | UFA | |||||
Nils Aman ![]() | C | 25 | 925,000$ | 925,000$ | 825,000$ | 825,000$ | UFA | ||||
Noah Philp ![]() | C/LW | 26 | 750,000$ | 775,000$ | 775,000$ | UFA | |||||
Nolan Stevens ![]() | C/LW | 28 | 775,000$ | 775,000$ | UFA | ||||||
Pavel Cajan | G | 22 | 775,000$ | 775,000$ | RFA | ||||||
Shawn Element | C | 24 | 775,000$ | 775,000$ | RFA | ||||||
Spencer Smallman ![]() | LW/RW | 28 | 762,500$ | 762,500$ | UFA | ||||||
Zach Sawchenko ![]() | G | 27 | 775,000$ | 775,000$ | 775,000$ | UFA |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Checkers | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 131 | 110 | 79 | 11 | 47 | 973 | 951 | 970 | 65 | 35 | 11 | 14 | 29 | 4 | 1 | 25.00% | 5 | 3 | 40.00% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 71.4% | 12.8% | 85.7% | 98.5 | FUN |
| 2 | Marlies | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 131 | 110 | 79 | 11 | 29 | 973 | 951 | 970 | 65 | 37 | 11 | 14 | 21 | 4 | 1 | 25.00% | 5 | 3 | 40.00% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 0.0% | 3.4% | 81.1% | 84.5 | Unlucky |
| 3 | Americans | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 131 | 110 | 79 | 11 | 50 | 973 | 951 | 970 | 65 | 20 | 7 | 6 | 24 | 5 | 2 | 40.00% | 3 | 0 | 100.00% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 42.9% | 10.0% | 80.0% | 90.0 | FUN |
| 4 | Binghamton Senateurs | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 131 | 110 | 79 | 11 | 29 | 973 | 951 | 970 | 65 | 50 | 18 | 16 | 17 | 3 | 2 | 66.67% | 8 | 2 | 75.00% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 60.0% | 17.2% | 92.0% | 109.2 | LUCKY |
| 5 | Bears | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 131 | 110 | 79 | 11 | 30 | 973 | 951 | 970 | 65 | 43 | 9 | 6 | 28 | 7 | 2 | 28.57% | 3 | 2 | 33.33% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 60.0% | 16.7% | 90.7% | 107.4 | FUN |
| 6 | Rockets | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 131 | 110 | 79 | 11 | 38 | 973 | 951 | 970 | 65 | 35 | 14 | 11 | 16 | 5 | 1 | 20.00% | 3 | 0 | 100.00% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 25.0% | 5.3% | 91.4% | 96.7 | DULL |
| 7 | Providence Bruins | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 10 | -2 | 1 | 0.250 | 8 | 15 | 23 | 0 | 0 | 131 | 110 | 79 | 11 | 67 | 973 | 951 | 970 | 65 | 78 | 18 | 12 | 43 | 6 | 1 | 16.67% | 6 | 3 | 50.00% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 50.0% | 11.9% | 87.2% | 99.1 | FUN |
| 8 | Wolves | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 131 | 110 | 79 | 11 | 32 | 973 | 951 | 970 | 65 | 27 | 5 | 6 | 29 | 2 | 0 | 0.00% | 3 | 2 | 33.33% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 66.7% | 6.3% | 88.9% | 95.1 | Unlucky |
| 9 | Eagles | 5 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 23 | 22 | 1 | 6 | 0.600 | 23 | 44 | 67 | 0 | 0 | 131 | 110 | 79 | 11 | 169 | 973 | 951 | 970 | 65 | 190 | 55 | 71 | 114 | 18 | 5 | 27.78% | 26 | 5 | 80.77% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 51.4% | 13.6% | 88.4% | 102.0 | FUN |
| 10 | Phantoms | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 131 | 110 | 79 | 11 | 39 | 973 | 951 | 970 | 65 | 34 | 19 | 10 | 21 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 33.3% | 7.7% | 88.2% | 95.9 | Unlucky |
| 11 | Wolf Pack | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 131 | 110 | 79 | 11 | 42 | 973 | 951 | 970 | 65 | 33 | 11 | 6 | 19 | 3 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 44.4% | 9.5% | 84.8% | 94.4 | FUN |
| 12 | islanders | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 9 | -3 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 131 | 110 | 79 | 11 | 76 | 973 | 951 | 970 | 65 | 83 | 22 | 20 | 52 | 11 | 1 | 9.09% | 10 | 3 | 70.00% | 1 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 45.5% | 7.9% | 89.2% | 97.1 | Unlucky |
| 13 | IceHogs | 5 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 28 | 23 | 5 | 8 | 0.800 | 28 | 50 | 78 | 0 | 0 | 131 | 110 | 79 | 11 | 200 | 973 | 951 | 970 | 65 | 187 | 61 | 68 | 117 | 22 | 10 | 45.45% | 25 | 9 | 64.00% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 56.3% | 14.0% | 87.7% | 101.7 | FUN |
| 14 | Griffins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 131 | 110 | 79 | 11 | 32 | 973 | 951 | 970 | 65 | 30 | 16 | 4 | 24 | 4 | 1 | 25.00% | 2 | 1 | 50.00% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 25.0% | 6.3% | 86.7% | 92.9 | Unlucky |
| 15 | Monsters | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 2 | 0.500 | 11 | 20 | 31 | 0 | 0 | 131 | 110 | 79 | 11 | 85 | 973 | 951 | 970 | 65 | 60 | 18 | 6 | 56 | 12 | 1 | 8.33% | 3 | 1 | 66.67% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 62.5% | 12.9% | 88.3% | 101.3 | FUN |
| 16 | Barracuda | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 11 | 4 | 4 | 0.667 | 15 | 26 | 41 | 0 | 0 | 131 | 110 | 79 | 11 | 101 | 973 | 951 | 970 | 65 | 88 | 30 | 24 | 75 | 10 | 5 | 50.00% | 12 | 1 | 91.67% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 50.0% | 14.9% | 87.5% | 102.4 | FUN |
| 17 | Condors | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 16 | 6 | 10 | 6 | 1.000 | 16 | 27 | 43 | 0 | 0 | 131 | 110 | 79 | 11 | 127 | 973 | 951 | 970 | 65 | 107 | 21 | 22 | 74 | 14 | 9 | 64.29% | 10 | 2 | 80.00% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 63.6% | 12.6% | 94.4% | 107.0 | LUCKY |
| 18 | Iowa Wild | 7 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 22 | 29 | -7 | 2 | 0.143 | 22 | 37 | 59 | 1 | 0 | 131 | 110 | 79 | 11 | 239 | 973 | 951 | 970 | 65 | 236 | 69 | 66 | 184 | 16 | 4 | 25.00% | 32 | 10 | 68.75% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 48.6% | 9.2% | 87.7% | 96.9 | FUN |
| 19 | Reign | 4 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 20 | 18 | 2 | 6 | 0.750 | 20 | 35 | 55 | 0 | 0 | 131 | 110 | 79 | 11 | 117 | 973 | 951 | 970 | 65 | 139 | 34 | 45 | 100 | 14 | 3 | 21.43% | 20 | 3 | 85.00% | 1 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 53.1% | 17.1% | 87.1% | 104.1 | FUN |
| 20 | Thunderbirds | 5 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 20 | 11 | 9 | 8 | 0.800 | 20 | 31 | 51 | 0 | 0 | 131 | 110 | 79 | 11 | 190 | 973 | 951 | 970 | 65 | 166 | 50 | 40 | 98 | 23 | 4 | 17.39% | 20 | 0 | 100.00% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 59.3% | 10.5% | 93.4% | 103.9 | LUCKY |
| 21 | Wranglers | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 16 | 1 | 4 | 0.500 | 17 | 31 | 48 | 0 | 0 | 131 | 110 | 79 | 11 | 159 | 973 | 951 | 970 | 65 | 154 | 36 | 44 | 102 | 16 | 4 | 25.00% | 21 | 3 | 85.71% | 1 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 50.0% | 10.7% | 89.6% | 100.3 | FUN |
| 22 | Gulls | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 11 | 9 | 2 | 5 | 0.833 | 11 | 20 | 31 | 0 | 0 | 131 | 110 | 79 | 11 | 115 | 973 | 951 | 970 | 65 | 101 | 28 | 18 | 73 | 12 | 1 | 8.33% | 9 | 2 | 77.78% | 1 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 58.8% | 9.6% | 91.1% | 100.7 | Unlucky |
| 23 | Texas Stars | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 29 | -10 | 2 | 0.200 | 19 | 35 | 54 | 0 | 0 | 131 | 110 | 79 | 11 | 183 | 973 | 951 | 970 | 65 | 220 | 66 | 55 | 121 | 22 | 6 | 27.27% | 22 | 6 | 72.73% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 36.1% | 10.4% | 86.8% | 97.2 | FUN |
| 24 | Canucks | 3 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 5 | 9 | -4 | 2 | 0.333 | 5 | 9 | 14 | 0 | 0 | 131 | 110 | 79 | 11 | 91 | 973 | 951 | 970 | 65 | 90 | 40 | 26 | 77 | 13 | 3 | 23.08% | 13 | 1 | 92.31% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 20.0% | 5.5% | 90.0% | 95.5 | Unlucky |
| 25 | Comets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 1.000 | 7 | 11 | 18 | 0 | 0 | 131 | 110 | 79 | 11 | 39 | 973 | 951 | 970 | 65 | 32 | 4 | 6 | 26 | 8 | 1 | 12.50% | 3 | 1 | 66.67% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 66.7% | 17.9% | 87.5% | 105.4 | FUN |
| 26 | W-B/Scranton Penguins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 131 | 110 | 79 | 11 | 33 | 973 | 951 | 970 | 65 | 29 | 10 | 6 | 32 | 2 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 66.7% | 12.1% | 89.7% | 101.8 | FUN |
| 27 | Roadrunners | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 21 | 20 | 1 | 6 | 0.600 | 21 | 37 | 58 | 0 | 0 | 131 | 110 | 79 | 11 | 160 | 973 | 951 | 970 | 65 | 170 | 39 | 46 | 129 | 17 | 1 | 5.88% | 23 | 4 | 82.61% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 55.6% | 13.1% | 88.2% | 101.4 | FUN |
| 28 | Crunch | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 131 | 110 | 79 | 11 | 26 | 973 | 951 | 970 | 65 | 42 | 6 | 10 | 26 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 20.0% | 7.7% | 90.5% | 98.2 | Unlucky |
| 29 | Moose | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 14 | 20 | -6 | 2 | 0.200 | 14 | 21 | 35 | 0 | 0 | 131 | 110 | 79 | 11 | 144 | 973 | 951 | 970 | 65 | 159 | 42 | 44 | 109 | 22 | 6 | 27.27% | 21 | 4 | 80.95% | 1 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 33.3% | 9.7% | 87.4% | 97.1 | FUN |
| 30 | Silver Knights | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 12 | 8 | 4 | 5 | 0.833 | 12 | 20 | 32 | 0 | 0 | 131 | 110 | 79 | 11 | 110 | 973 | 951 | 970 | 65 | 89 | 40 | 12 | 87 | 12 | 1 | 8.33% | 6 | 1 | 83.33% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 61.1% | 10.9% | 91.0% | 101.9 | FUN |
| 31 | Firebirds | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 14 | 14 | 0 | 3 | 0.500 | 14 | 26 | 40 | 0 | 0 | 131 | 110 | 79 | 11 | 139 | 973 | 951 | 970 | 65 | 112 | 22 | 29 | 69 | 18 | 0 | 0.00% | 11 | 3 | 72.73% | 0 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 56.0% | 10.1% | 87.5% | 97.6 | FUN |
| _Vs Division | 37 | 12 | 20 | 0 | 3 | 0 | 2 | 0 | 147 | 154 | -7 | 34 | 0.459 | 147 | 255 | 402 | 1 | 0 | 131 | 110 | 79 | 11 | 1285 | 973 | 951 | 970 | 65 | 1328 | 382 | 390 | 872 | 140 | 36 | 25.71% | 169 | 38 | 77.51% | 1 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 48.9% | 11.4% | 88.4% | 99.8 | FUN | |
| _Vs Conference | 63 | 23 | 26 | 0 | 5 | 3 | 4 | 2 | 257 | 245 | 12 | 69 | 0.548 | 257 | 449 | 706 | 1 | 0 | 131 | 110 | 79 | 11 | 2244 | 973 | 951 | 970 | 65 | 2208 | 633 | 610 | 1529 | 249 | 62 | 24.90% | 271 | 54 | 80.07% | 4 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 50.5% | 11.5% | 88.9% | 100.4 | FUN | |
| _Since Last GM Reset | 82 | 29 | 35 | 0 | 6 | 6 | 4 | 2 | 330 | 325 | 5 | 86 | 0.524 | 330 | 580 | 910 | 1 | 0 | 131 | 110 | 79 | 11 | 2938 | 973 | 951 | 970 | 65 | 2876 | 832 | 763 | 1992 | 333 | 78 | 23.42% | 340 | 76 | 77.65% | 5 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 50.3% | 11.2% | 88.7% | 99.9 | FUN | |
| Total | 82 | 29 | 35 | 0 | 6 | 6 | 4 | 2 | 330 | 325 | 5 | 86 | 0.524 | 330 | 580 | 910 | 1 | 0 | 131 | 110 | 79 | 11 | 2938 | 973 | 951 | 970 | 65 | 2876 | 832 | 763 | 1992 | 333 | 78 | 23.42% | 340 | 76 | 77.65% | 5 | 1706 | 3035 | 56.21% | 1545 | 2906 | 53.17% | 824 | 1513 | 54.46% | 1936 | 1291 | 1920 | 639 | 1120 | 553 | 50.3% | 11.2% | 88.7% | 99.9 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 3035 |
| Neutral Zone Start | 1513 |
| Defensive Zone Start | 2906 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 4075 |
| Faceoffs Lost | 3379 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.9 | 9.57 |
| 2nd Period | 23.5 | 20.31 |
| 3rd Period | 35.3 | 30.68 |
| Overtime | 36.1 | 31.4 |
| Goals in | Team Average Goals after | League Average Goals after |
|---|---|---|
| 1st Period | 1.6 | 0.64 |
| 2nd Period | 2.9 | 1.65 |
| 3rd Period | 3.9 | 2.67 |
| Overtime | 4.0 | 2.83 |
| Even Strenght Goal | 246 |
|---|---|
| PP Goal | 78 |
| PK Goal | 5 |
| Empty Net Goal | 1 |
| Home | Away | |
|---|---|---|
| Win | 20 | 19 |
| Lost | 19 | 16 |
| Overtime Lost | 2 | 6 |
| PP Attempt | 333 |
|---|---|
| PP Goal | 78 |
| PK Attempt | 340 |
| PK Goal Against | 76 |
| Home | |
|---|---|
| Shots For | 35.8 |
| Shots Against | 35.1 |
| Goals For | 4.0 |
| Goals Against | 4.0 |
| Hits | 24.3 |
| Shots Blocked | 10.1 |
| Pim | 9.3 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 3,967,000$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Milwaukee | |
| Capacity | 3000 | |
| Season Ticket Holders | 15% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 40$ | 27$ | $ | $ | $ |
| Attendance | 52668 | 20399 | |||
| Attendance PCT | 64.23% | 49.75% | 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 |
| 0 | 1782 - 59.40% | 96,577$ | 3,959,665$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 3,967,000$ | 3,964,500$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 3,957,732$ | 0$ | 3,957,732$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 20,448$ | 0$ |
| Team Total Estimate | |||
|---|---|---|---|
| Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
| 0$ | 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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