***Bonne chance pour le reste de saison***
Last update: 2024-04-18 05:45:30
| Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Chris Tierney | 0 | C | 99.00 | 65 | 44 | 83 | 64 | 70 | 62 | 75 | 60 | 72 | 68 | 60 | 68 | 57 | 71 | 60 | 0 | 50 | 67 | 29 | 750,000$/1yrs | |||
Zach Sanford | 12 | LW | 100.00 | 65 | 58 | 75 | 60 | 72 | 66 | 73 | 59 | 61 | 62 | 60 | 64 | 55 | 66 | 60 | 0 | 50 | 65 | 29 | 850,000$/1yrs | |||
Brandon Biro | 8 | C | 100.00 | 54 | 58 | 67 | 58 | 57 | 63 | 62 | 61 | 66 | 60 | 59 | 62 | 54 | 60 | 56 | 0 | 50 | 63 | 26 | 763,889$/2yrs | |||
Joe Snively | 92 | C | 100.00 | 57 | 54 | 73 | 59 | 61 | 61 | 58 | 58 | 55 | 61 | 59 | 65 | 56 | 61 | 58 | 0 | 50 | 63 | 28 | 800,000$/2yrs | |||
Josh Dunne | 2 | C | 99.00 | 56 | 58 | 64 | 60 | 70 | 65 | 63 | 58 | 69 | 57 | 60 | 59 | 55 | 60 | 56 | 0 | 50 | 63 | 25 | 874,125$/2yrs | |||
Peter Abbandonato | 50 | C | 100.00 | 54 | 56 | 67 | 60 | 62 | 65 | 63 | 61 | 70 | 60 | 57 | 61 | 54 | 60 | 56 | 0 | 50 | 63 | 26 | 750,000$/1yrs | |||
Will Cuylle | 0 | LW | 100.00 | 55 | 57 | 62 | 60 | 65 | 63 | 62 | 59 | 55 | 57 | 60 | 60 | 58 | 54 | 53 | 0 | 50 | 62 | 22 | 902,500$/2yrs | |||
Bryce Kindopp | 9 | RW | 100.00 | 54 | 54 | 66 | 58 | 63 | 67 | 64 | 56 | 55 | 56 | 57 | 58 | 54 | 58 | 55 | 0 | 50 | 61 | 24 | 925,000$/1yrs | |||
Cole Guttman (R) | 0 | C | 100.00 | 55 | 50 | 68 | 58 | 55 | 61 | 56 | 57 | 68 | 58 | 60 | 59 | 57 | 55 | 53 | 0 | 50 | 61 | 25 | 950,000$/1yrs | |||
Hudson Elynuik | 0 | C | 100.00 | 57 | 56 | 63 | 57 | 68 | 63 | 62 | 57 | 55 | 56 | 56 | 61 | 54 | 62 | 57 | 0 | 50 | 61 | 26 | 750,000$/1yrs | |||
Brayden Burke | 33 | C/LW | 100.00 | 55 | 54 | 67 | 56 | 57 | 58 | 57 | 56 | 55 | 56 | 55 | 61 | 54 | 62 | 57 | 0 | 50 | 60 | 27 | 750,000$/1yrs | |||
Tye Felhaber | 0 | C/LW | 100.00 | 54 | 54 | 68 | 56 | 60 | 58 | 57 | 55 | 55 | 55 | 56 | 60 | 54 | 60 | 56 | 0 | 50 | 60 | 25 | 750,000$/1yrs | |||
Connor MacKey | 0 | D | 100.00 | 67 | 73 | 72 | 69 | 72 | 68 | 62 | 58 | 40 | 67 | 59 | 73 | 54 | 57 | 58 | 0 | 50 | 68 | 27 | 912,500$/4yrs | |||
Christian Wolanin | 86 | D | 100.00 | 56 | 53 | 70 | 61 | 65 | 65 | 60 | 60 | 40 | 63 | 55 | 64 | 54 | 64 | 59 | 0 | 50 | 64 | 29 | 750,000$/3yrs | |||
Brayden Pachal | 10 | D | 100.00 | 59 | 53 | 62 | 60 | 66 | 66 | 64 | 56 | 40 | 58 | 55 | 63 | 54 | 58 | 55 | 0 | 50 | 62 | 24 | 750,000$/3yrs | |||
Luke Martin (R) | 0 | D | 100.00 | 55 | 54 | 67 | 55 | 70 | 58 | 58 | 55 | 40 | 55 | 54 | 62 | 54 | 60 | 56 | 0 | 50 | 60 | 25 | 750,000$/1yrs | |||
Jake Livingstone | 0 | D | 100.00 | 54 | 38 | 70 | 52 | 75 | 68 | 54 | 50 | 38 | 57 | 50 | 66 | 51 | 51 | 55 | 0 | 50 | 60 | 25 | 2,130,000$/3yrs | |||
| Scratches | ||||||||||||||||||||||||||
Adam Raska | 6 | RW | 100.00 | 57 | 53 | 61 | 57 | 60 | 64 | 63 | 56 | 55 | 56 | 55 | 60 | 54 | 55 | 53 | 0 | 50 | 60 | 22 | 900,000$/2yrs | |||
Milos Kelemen | 0 | LW | 100.00 | 55 | 58 | 65 | 55 | 68 | 62 | 60 | 55 | 51 | 56 | 56 | 56 | 51 | 55 | 53 | 0 | 50 | 60 | 24 | 817,500$/2yrs | |||
Brett Kemp | 0 | C | 100.00 | 56 | 54 | 68 | 54 | 61 | 55 | 55 | 54 | 66 | 54 | 54 | 61 | 54 | 56 | 54 | 0 | 50 | 59 | 24 | 750,000$/1yrs | |||
Pierrick Dube | 0 | RW | 100.00 | 52 | 55 | 63 | 58 | 53 | 59 | 58 | 56 | 52 | 54 | 57 | 59 | 54 | 52 | 50 | 0 | 50 | 59 | 23 | 950,000$/3yrs | |||
Dylan Samberg | 0 | D | 100.00 | 67 | 62 | 79 | 64 | 81 | 68 | 69 | 57 | 40 | 66 | 58 | 81 | 54 | 57 | 57 | 0 | 50 | 69 | 25 | 1,175,000$/3yrs | |||
Joshua Anderson | 0 | D | 100.00 | 80 | 43 | 83 | 51 | 89 | 60 | 65 | 51 | 30 | 50 | 54 | 57 | 45 | 65 | 63 | 0 | 50 | 61 | 25 | 750,000$/1yrs | |||
Alex Kannok Leipert | 17 | D | 100.00 | 63 | 39 | 74 | 55 | 72 | 65 | 69 | 54 | 30 | 53 | 52 | 56 | 45 | 62 | 64 | 0 | 50 | 60 | 23 | 750,000$/1yrs | |||
Mason Lohrei (R) | 0 | D | 100.00 | 52 | 51 | 65 | 51 | 66 | 52 | 52 | 51 | 38 | 51 | 51 | 57 | 51 | 52 | 50 | 0 | 50 | 56 | 23 | 1,050,000$/3yrs | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Goalie | # | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | AGE | CONTRACT |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Logan Thompson | 31 | 100.00 | 75 | 74 | 74 | 81 | 72 | 73 | 81 | 73 | 77 | 78 | 81 | 59 | 55 | 0 | 50 | 76 | 27 | 766,667$/3yrs |
Jiri Patera | 0 | 100.00 | 60 | 61 | 61 | 67 | 66 | 56 | 66 | 63 | 59 | 59 | 58 | 58 | 54 | 0 | 50 | 63 | 25 | 800,000$/2yrs |
| Scratches | ||||||||||||||||||||
Jett Alexander | 0 | 100.00 | 67 | 52 | 52 | 86 | 58 | 63 | 52 | 68 | 62 | 53 | 53 | 52 | 52 | 0 | 50 | 62 | 24 | 775,000$/1yrs |
Tommy Nappier | 0 | 100.00 | 56 | 56 | 56 | 69 | 65 | 55 | 67 | 56 | 58 | 56 | 64 | 60 | 55 | 0 | 50 | 60 | 25 | 750,000$/1yrs |
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Chris Niel | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 44 | 5 | 0$ |
| 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 | Chris Tierney | Binghamton Senateurs (OTT) | C | 73 | 30 | 43 | 73 | 14 | 30 | 0 | 113 | 244 | 64 | 209 | 12.30% | 24 | 21.70 | 6 | 13 | 19 | 1 | 0 | 1 | 222 | 6 | 3 | 56.50% | 0 | 0 | 1.00 | 3 | 7 | 1.05 | |||
| 2 | Dylan Samberg | Binghamton Senateurs (OTT) | D | 79 | 13 | 52 | 65 | -5 | 57 | 5 | 170 | 203 | 54 | 138 | 6.40% | 140 | 22.65 | 4 | 13 | 17 | 0 | 0 | 0 | 249 | 4 | 1 | 0.00% | 0 | 0 | 0.82 | 0 | 0 | 0.75 | |||
| 3 | Joe Snively | Binghamton Senateurs (OTT) | C | 82 | 21 | 42 | 63 | 23 | 34 | 0 | 67 | 212 | 53 | 151 | 9.91% | 17 | 15.70 | 1 | 4 | 5 | 1 | 0 | 1 | 114 | 2 | 1 | 48.76% | 0 | 0 | 0.77 | 0 | 3 | 0.78 | |||
| 4 | Connor MacKey | Binghamton Senateurs (OTT) | D | 78 | 12 | 47 | 59 | -4 | 65 | 5 | 180 | 163 | 44 | 118 | 7.36% | 100 | 22.18 | 9 | 17 | 26 | 0 | 0 | 0 | 247 | 0 | 2 | 0.00% | 0 | 0 | 0.76 | 0 | 0 | 0.62 | |||
| 5 | Zach Sanford | Binghamton Senateurs (OTT) | LW | 65 | 25 | 34 | 59 | 22 | 40 | 0 | 131 | 223 | 51 | 152 | 11.21% | 12 | 20.72 | 10 | 8 | 18 | 0 | 0 | 0 | 184 | 5 | 3 | 50.66% | 0 | 0 | 0.91 | 2 | 3 | 0.99 | |||
| 6 | Will Cuylle | Binghamton Senateurs (OTT) | LW | 83 | 27 | 31 | 58 | 23 | 47 | 5 | 146 | 197 | 64 | 181 | 13.71% | 9 | 17.81 | 9 | 7 | 16 | 0 | 0 | 0 | 38 | 1 | 1 | 46.00% | 0 | 0 | 0.70 | 0 | 1 | 0.75 | |||
| 7 | Brayden Pachal | Binghamton Senateurs (OTT) | D | 78 | 11 | 43 | 54 | 23 | 54 | 0 | 144 | 141 | 53 | 92 | 7.80% | 119 | 21.38 | 6 | 17 | 23 | 0 | 1 | 1 | 227 | 1 | 0 | 0.00% | 0 | 0 | 0.69 | 0 | 0 | 0.72 | |||
| 8 | Christian Wolanin | Binghamton Senateurs (OTT) | D | 81 | 14 | 37 | 51 | 17 | 50 | 0 | 94 | 149 | 42 | 95 | 9.40% | 113 | 22.69 | 8 | 14 | 22 | 0 | 2 | 2 | 263 | 0 | 1 | 0.00% | 0 | 0 | 0.63 | 0 | 0 | 0.64 | |||
| 9 | Josh Dunne | Binghamton Senateurs (OTT) | C | 71 | 18 | 28 | 46 | 10 | 45 | 15 | 95 | 163 | 59 | 116 | 11.04% | 11 | 16.07 | 1 | 11 | 12 | 1 | 0 | 1 | 99 | 4 | 0 | 52.86% | 0 | 0 | 0.65 | 0 | 1 | 0.63 | |||
| 10 | Brandon Biro | Binghamton Senateurs (OTT) | C | 82 | 25 | 17 | 42 | 14 | 42 | 10 | 81 | 195 | 63 | 127 | 12.82% | 13 | 14.37 | 1 | 0 | 1 | 0 | 0 | 0 | 77 | 5 | 3 | 51.53% | 0 | 2 | 0.51 | 0 | 0 | 0.56 | |||
| 11 | Peter Abbandonato | Binghamton Senateurs (OTT) | C | 75 | 18 | 19 | 37 | -1 | 52 | 20 | 63 | 171 | 52 | 102 | 10.53% | 10 | 14.90 | 3 | 3 | 6 | 0 | 1 | 1 | 73 | 3 | 1 | 54.32% | 0 | 0 | 0.49 | 0 | 0 | 0.44 | |||
| 12 | Bryce Kindopp | Binghamton Senateurs (OTT) | RW | 72 | 11 | 15 | 26 | 16 | 20 | 0 | 65 | 105 | 29 | 82 | 10.48% | 11 | 14.04 | 4 | 3 | 7 | 0 | 0 | 0 | 35 | 2 | 0 | 46.10% | 0 | 0 | 0.36 | 0 | 0 | 0.44 | |||
| 13 | Luke Martin | Binghamton Senateurs (OTT) | D | 56 | 5 | 21 | 26 | 15 | 40 | 0 | 62 | 37 | 19 | 33 | 13.51% | 57 | 16.09 | 0 | 1 | 1 | 0 | 0 | 0 | 59 | 0 | 2 | 0.00% | 0 | 0 | 0.46 | 0 | 0 | 0.41 | |||
| 14 | Brayden Burke | Binghamton Senateurs (OTT) | C/LW | 52 | 13 | 10 | 23 | 15 | 12 | 0 | 30 | 83 | 17 | 43 | 15.66% | 3 | 9.69 | 0 | 1 | 1 | 0 | 0 | 0 | 22 | 2 | 0 | 54.05% | 0 | 0 | 0.44 | 0 | 0 | 0.52 | |||
| 15 | Adam Raska | Binghamton Senateurs (OTT) | RW | 38 | 9 | 13 | 22 | 5 | 12 | 0 | 59 | 62 | 16 | 38 | 14.52% | 6 | 11.76 | 2 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 43.33% | 0 | 0 | 0.58 | 0 | 0 | 0.57 | |||
| 16 | Cole Guttman | Binghamton Senateurs (OTT) | C | 80 | 6 | 15 | 21 | -2 | 8 | 0 | 41 | 82 | 23 | 59 | 7.32% | 7 | 8.29 | 2 | 5 | 7 | 0 | 0 | 0 | 38 | 0 | 0 | 53.74% | 0 | 0 | 0.26 | 0 | 0 | 0.25 | |||
| 17 | Joshua Anderson | Binghamton Senateurs (OTT) | D | 76 | 8 | 13 | 21 | 30 | 90 | 0 | 186 | 56 | 15 | 33 | 14.29% | 72 | 18.23 | 4 | 1 | 5 | 0 | 0 | 0 | 135 | 2 | 0 | 0.00% | 0 | 0 | 0.28 | 0 | 0 | 0.29 | |||
| 18 | Alex Kannok Leipert | Binghamton Senateurs (OTT) | D | 61 | 5 | 15 | 20 | 23 | 62 | 0 | 104 | 28 | 11 | 22 | 17.86% | 60 | 16.75 | 2 | 1 | 3 | 0 | 0 | 0 | 65 | 1 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.30 | |||
| 19 | Hudson Elynuik | Binghamton Senateurs (OTT) | C | 80 | 9 | 9 | 18 | 11 | 8 | 0 | 59 | 54 | 19 | 44 | 16.67% | 3 | 6.02 | 0 | 0 | 0 | 0 | 0 | 0 | 45 | 4 | 2 | 42.06% | 0 | 0 | 0.23 | 0 | 0 | 0.27 | |||
| 20 | Jake Livingstone | Binghamton Senateurs (OTT) | D | 23 | 2 | 10 | 12 | 4 | 12 | 0 | 32 | 15 | 4 | 12 | 13.33% | 26 | 15.85 | 0 | 1 | 1 | 0 | 0 | 0 | 23 | 1 | 0 | 0.00% | 0 | 0 | 0.52 | 0 | 0 | 0.46 | |||
| 21 | Tye Felhaber | Binghamton Senateurs (OTT) | C/LW | 37 | 2 | 7 | 9 | -2 | 14 | 0 | 32 | 58 | 14 | 39 | 3.45% | 5 | 13.00 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 46.88% | 0 | 0 | 0.24 | 0 | 0 | 0.24 | |||
| 22 | Milos Kelemen | Binghamton Senateurs (OTT) | LW | 16 | 2 | 3 | 5 | -1 | 0 | 0 | 16 | 19 | 3 | 16 | 10.53% | 1 | 10.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 50.00% | 0 | 0 | 0.31 | 0 | 0 | 0.33 | |||
| Team Total or Average | 1438 | 286 | 524 | 810 | 250 | 794 | 60 | 1970 | 2660 | 769 | 1902 | 10.75% | 819 | 16.40 | 72 | 124 | 196 | 2607 | 3 | 4 | 7 | 2236 | 44 | 20 | 53.04% | 6703 | 0 | 0 | 0 | 2 | 0.69 | 5 | 15 |
| 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 | Logan Thompson | Binghamton Senateurs (OTT) | 64 | 41 | 14 | 5 | 0.912 | 2.92 | 3677 | 2 | 3 | 179 | 2025 | 0 | 0 | 2 | 0.846 | 13 | 62 | 20 | 7 | 3 | 2 |
| 2 | Jiri Patera | Binghamton Senateurs (OTT) | 24 | 12 | 7 | 3 | 0.903 | 3.05 | 1297 | 0 | 0 | 66 | 677 | 0 | 1 | 0 | 0.556 | 9 | 20 | 62 | 0 | 0 | 1 |
| Team Total or Average | 88 | 53 | 21 | 8 | 0.909 | 2.96 | 4975 | 2 | 3 | 245 | 2702 | 0 | 1 | 2 | 0.727 | 22 | 82 | 82 | 7 | 3 | 3 |
| Player Name | POS | Age | Cap Hit | 2023-24 | 2024-25 | 2025-26 | 2026-27 | 2027-28 | 2028-29 | 2029-30 | 2030-31 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Raska | RW | 22 | 900,000$ | 900,000$ | 900,000$ | RFA | |||||
Alex Kannok Leipert | D | 23 | 750,000$ | 750,000$ | RFA | ||||||
Brandon Biro ![]() | C | 26 | 763,889$ | 762,500$ | 762,500$ | UFA | |||||
Brayden Burke ![]() | C/LW | 27 | 750,000$ | 750,000$ | UFA | ||||||
Brayden Pachal | D | 24 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Brett Kemp | C | 24 | 750,000$ | 750,000$ | RFA | ||||||
Bryce Kindopp | RW | 24 | 925,000$ | 925,000$ | UFA | ||||||
Chris Tierney ![]() | C | 29 | 750,000$ | 750,000$ | UFA | ||||||
Christian Wolanin ![]() | D | 29 | 750,000$ | 750,000$ | 775,000$ | 775,000$ | UFA | ||||
Cole Guttman ![]() | C | 25 | 950,000$ | 950,000$ | UFA | ||||||
Connor MacKey ![]() | D | 27 | 912,500$ | 912,500$ | 775,000$ | 775,000$ | 775,000$ | UFA | |||
Dylan Samberg ![]() | D | 25 | 1,175,000$ | 1,175,000$ | 1,400,000$ | 1,400,000$ | UFA | ||||
Hudson Elynuik ![]() | C | 26 | 750,000$ | 750,000$ | UFA | ||||||
Jake Livingstone ![]() | D | 25 | 2,130,000$ | 2,130,000$ | 775,000$ | 775,000$ | UFA | ||||
Jett Alexander | G | 24 | 775,000$ | 775,000$ | RFA | ||||||
Jiri Patera ![]() | G | 25 | 800,000$ | 800,000$ | 775,000$ | UFA | |||||
Joe Snively ![]() | C | 28 | 800,000$ | 800,000$ | 800,000$ | UFA | |||||
Josh Dunne ![]() | C | 25 | 874,125$ | 874,125$ | 775,000$ | UFA | |||||
Joshua Anderson ![]() | D | 25 | 750,000$ | 750,000$ | UFA | ||||||
Logan Thompson ![]() | G | 27 | 766,667$ | 766,667$ | 766,667$ | 766,667$ | UFA | ||||
Luke Martin ![]() | D | 25 | 750,000$ | 750,000$ | UFA | ||||||
Mason Lohrei | D | 23 | 1,050,000$ | 1,050,000$ | 1,050,000$ | 1,050,000$ | UFA | ||||
Milos Kelemen | LW | 24 | 817,500$ | 817,500$ | 817,500$ | UFA | |||||
Peter Abbandonato ![]() | C | 26 | 750,000$ | 750,000$ | UFA | ||||||
Pierrick Dube | RW | 23 | 950,000$ | 950,000$ | 950,000$ | 950,000$ | UFA | ||||
Tommy Nappier ![]() | G | 25 | 750,000$ | 750,000$ | UFA | ||||||
Tye Felhaber ![]() | C/LW | 25 | 750,000$ | 750,000$ | UFA | ||||||
Will Cuylle | LW | 22 | 902,500$ | 902,500$ | 902,500$ | RFA | |||||
Zach Sanford ![]() | LW | 29 | 850,000$ | 850,000$ | 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 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 11 | 15 | -4 | 1 | 0.167 | 11 | 19 | 30 | 0 | 0 | 122 | 81 | 95 | 16 | 94 | 945 | 870 | 993 | 64 | 109 | 30 | 28 | 79 | 10 | 2 | 20.00% | 12 | 1 | 91.67% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 39.1% | 11.7% | 86.2% | 97.9 | FUN |
| 2 | Marlies | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 17 | 14 | 3 | 6 | 0.750 | 17 | 32 | 49 | 0 | 0 | 122 | 81 | 95 | 16 | 135 | 945 | 870 | 993 | 64 | 114 | 39 | 28 | 115 | 22 | 7 | 31.82% | 13 | 3 | 76.92% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 47.6% | 12.6% | 87.7% | 100.3 | FUN |
| 3 | Americans | 4 | 1 | 1 | 0 | 1 | 0 | 0 | 1 | 15 | 14 | 1 | 5 | 0.625 | 15 | 29 | 44 | 0 | 0 | 122 | 81 | 95 | 16 | 125 | 945 | 870 | 993 | 64 | 131 | 32 | 45 | 90 | 16 | 2 | 12.50% | 19 | 4 | 78.95% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 56.5% | 12.0% | 89.3% | 101.3 | FUN |
| 4 | Bears | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 3 | 9 | 6 | 1.000 | 12 | 19 | 31 | 0 | 1 | 122 | 81 | 95 | 16 | 113 | 945 | 870 | 993 | 64 | 91 | 24 | 24 | 79 | 15 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 85.7% | 10.6% | 96.7% | 107.3 | LUCKY |
| 5 | Rockets | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 12 | 13 | -1 | 5 | 0.625 | 12 | 22 | 34 | 0 | 0 | 122 | 81 | 95 | 16 | 137 | 945 | 870 | 993 | 64 | 123 | 42 | 51 | 105 | 12 | 4 | 33.33% | 20 | 4 | 80.00% | 1 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 47.1% | 8.8% | 89.4% | 98.2 | Unlucky |
| 6 | Providence Bruins | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 14 | 16 | -2 | 3 | 0.375 | 14 | 25 | 39 | 0 | 0 | 122 | 81 | 95 | 16 | 161 | 945 | 870 | 993 | 64 | 146 | 49 | 60 | 97 | 17 | 2 | 11.76% | 27 | 3 | 88.89% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 48.0% | 8.7% | 89.0% | 97.7 | Unlucky |
| 7 | Wolves | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 4 | 0.667 | 11 | 21 | 32 | 1 | 0 | 122 | 81 | 95 | 16 | 89 | 945 | 870 | 993 | 64 | 96 | 29 | 17 | 80 | 9 | 2 | 22.22% | 8 | 2 | 75.00% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 64.3% | 12.4% | 92.7% | 105.1 | LUCKY |
| 8 | Eagles | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 5 | 7 | -2 | 1 | 0.250 | 5 | 9 | 14 | 0 | 0 | 122 | 81 | 95 | 16 | 57 | 945 | 870 | 993 | 64 | 63 | 19 | 18 | 55 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 40.0% | 8.8% | 88.9% | 97.7 | Unlucky |
| 9 | Phantoms | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 4 | 0.667 | 11 | 21 | 32 | 0 | 0 | 122 | 81 | 95 | 16 | 104 | 945 | 870 | 993 | 64 | 106 | 28 | 24 | 100 | 12 | 2 | 16.67% | 12 | 0 | 100.00% | 1 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 60.0% | 10.6% | 94.3% | 104.9 | LUCKY |
| 10 | Wolf Pack | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 17 | 13 | 4 | 6 | 1.000 | 17 | 29 | 46 | 0 | 0 | 122 | 81 | 95 | 16 | 98 | 945 | 870 | 993 | 64 | 113 | 27 | 38 | 66 | 13 | 7 | 53.85% | 19 | 4 | 78.95% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 52.6% | 17.3% | 88.5% | 105.8 | FUN |
| 11 | islanders | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 7 | 1 | 4 | 0.667 | 8 | 15 | 23 | 0 | 1 | 122 | 81 | 95 | 16 | 109 | 945 | 870 | 993 | 64 | 79 | 37 | 20 | 70 | 12 | 2 | 16.67% | 10 | 3 | 70.00% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 60.0% | 7.3% | 91.1% | 98.5 | Unlucky |
| 12 | IceHogs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 16 | 24 | 0 | 0 | 122 | 81 | 95 | 16 | 77 | 945 | 870 | 993 | 64 | 62 | 20 | 20 | 59 | 13 | 3 | 23.08% | 10 | 2 | 80.00% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 50.0% | 10.4% | 88.7% | 99.1 | FUN |
| 13 | Griffins | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 16 | 15 | 1 | 5 | 0.625 | 16 | 29 | 45 | 0 | 0 | 122 | 81 | 95 | 16 | 160 | 945 | 870 | 993 | 64 | 130 | 40 | 42 | 85 | 14 | 2 | 14.29% | 14 | 3 | 78.57% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 53.8% | 10.0% | 88.5% | 98.5 | FUN |
| 14 | Monsters | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 9 | 4 | 6 | 1.000 | 13 | 20 | 33 | 0 | 0 | 122 | 81 | 95 | 16 | 84 | 945 | 870 | 993 | 64 | 100 | 23 | 26 | 65 | 8 | 2 | 25.00% | 13 | 4 | 69.23% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 68.8% | 15.5% | 91.0% | 106.5 | FUN |
| 15 | Barracuda | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 20 | 30 | 0 | 0 | 122 | 81 | 95 | 16 | 83 | 945 | 870 | 993 | 64 | 61 | 15 | 19 | 53 | 12 | 2 | 16.67% | 4 | 0 | 100.00% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 61.5% | 12.0% | 91.8% | 103.9 | LUCKY |
| 16 | Condors | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 10 | 6 | 4 | 4 | 1.000 | 10 | 15 | 25 | 0 | 0 | 122 | 81 | 95 | 16 | 65 | 945 | 870 | 993 | 64 | 74 | 25 | 34 | 38 | 7 | 1 | 14.29% | 13 | 4 | 69.23% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 81.8% | 15.4% | 91.9% | 107.3 | LUCKY |
| 17 | Iowa Wild | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 6 | 7 | -1 | 2 | 0.500 | 6 | 9 | 15 | 0 | 0 | 122 | 81 | 95 | 16 | 52 | 945 | 870 | 993 | 64 | 88 | 30 | 19 | 53 | 6 | 2 | 33.33% | 7 | 1 | 85.71% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 40.0% | 11.5% | 92.0% | 103.6 | LUCKY |
| 18 | Reign | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 6 | 3 | 4 | 1.000 | 9 | 13 | 22 | 0 | 0 | 122 | 81 | 95 | 16 | 76 | 945 | 870 | 993 | 64 | 54 | 13 | 35 | 46 | 7 | 1 | 14.29% | 14 | 4 | 71.43% | 1 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 80.0% | 11.8% | 88.9% | 100.7 | FUN |
| 19 | Thunderbirds | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 1.000 | 8 | 12 | 20 | 0 | 0 | 122 | 81 | 95 | 16 | 83 | 945 | 870 | 993 | 64 | 66 | 31 | 26 | 40 | 7 | 1 | 14.29% | 13 | 3 | 76.92% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 70.0% | 9.6% | 90.9% | 100.5 | FUN |
| 20 | Wranglers | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 5 | 1 | 3 | 0.750 | 6 | 11 | 17 | 0 | 0 | 122 | 81 | 95 | 16 | 82 | 945 | 870 | 993 | 64 | 68 | 19 | 10 | 48 | 8 | 3 | 37.50% | 4 | 1 | 75.00% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 42.9% | 7.3% | 92.6% | 100.0 | DULL |
| 21 | Gulls | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 12 | 8 | 4 | 4 | 1.000 | 12 | 22 | 34 | 0 | 0 | 122 | 81 | 95 | 16 | 81 | 945 | 870 | 993 | 64 | 75 | 9 | 16 | 45 | 8 | 4 | 50.00% | 8 | 1 | 87.50% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 53.3% | 14.8% | 89.3% | 104.1 | FUN |
| 22 | Texas Stars | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 122 | 81 | 95 | 16 | 60 | 945 | 870 | 993 | 64 | 72 | 20 | 18 | 54 | 7 | 2 | 28.57% | 7 | 2 | 71.43% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 50.0% | 10.0% | 91.7% | 101.7 | LUCKY |
| 23 | Canucks | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 5 | 5 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 122 | 81 | 95 | 16 | 72 | 945 | 870 | 993 | 64 | 92 | 19 | 24 | 54 | 5 | 1 | 20.00% | 12 | 2 | 83.33% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 75.0% | 13.9% | 94.6% | 108.5 | LUCKY |
| 24 | Comets | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 10 | 2 | 4 | 0.667 | 12 | 19 | 31 | 0 | 0 | 122 | 81 | 95 | 16 | 116 | 945 | 870 | 993 | 64 | 86 | 20 | 31 | 65 | 14 | 5 | 35.71% | 13 | 3 | 76.92% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 50.0% | 10.3% | 88.4% | 98.7 | FUN |
| 25 | W-B/Scranton Penguins | 3 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 9 | 10 | -1 | 3 | 0.500 | 9 | 14 | 23 | 0 | 0 | 122 | 81 | 95 | 16 | 82 | 945 | 870 | 993 | 64 | 116 | 31 | 24 | 75 | 6 | 0 | 0.00% | 11 | 2 | 81.82% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 52.9% | 11.0% | 91.4% | 102.4 | LUCKY |
| 26 | Roadrunners | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 8 | 14 | 22 | 1 | 0 | 122 | 81 | 95 | 16 | 68 | 945 | 870 | 993 | 64 | 75 | 22 | 27 | 52 | 7 | 2 | 28.57% | 9 | 1 | 88.89% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 50.0% | 11.8% | 90.7% | 102.4 | FUN |
| 27 | Crunch | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 3 | 9 | 6 | 1.000 | 12 | 24 | 36 | 0 | 0 | 122 | 81 | 95 | 16 | 98 | 945 | 870 | 993 | 64 | 64 | 17 | 36 | 58 | 16 | 2 | 12.50% | 11 | 0 | 100.00% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 76.9% | 12.2% | 95.3% | 107.6 | LUCKY |
| 28 | Admirals | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 122 | 81 | 95 | 16 | 66 | 945 | 870 | 993 | 64 | 75 | 25 | 17 | 40 | 9 | 1 | 11.11% | 5 | 2 | 60.00% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 40.0% | 7.6% | 89.3% | 96.9 | Unlucky |
| 29 | Moose | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 122 | 81 | 95 | 16 | 83 | 945 | 870 | 993 | 64 | 59 | 22 | 18 | 44 | 14 | 4 | 28.57% | 9 | 6 | 33.33% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 75.0% | 8.4% | 88.1% | 96.6 | Unlucky |
| 30 | Silver Knights | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 6 | 12 | 18 | 0 | 1 | 122 | 81 | 95 | 16 | 71 | 945 | 870 | 993 | 64 | 47 | 15 | 8 | 33 | 8 | 1 | 12.50% | 4 | 2 | 50.00% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 83.3% | 8.5% | 93.6% | 102.1 | DULL |
| 31 | Firebirds | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 5 | 10 | 15 | 0 | 0 | 122 | 81 | 95 | 16 | 70 | 945 | 870 | 993 | 64 | 69 | 15 | 10 | 54 | 8 | 1 | 12.50% | 5 | 1 | 80.00% | 0 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 66.7% | 7.1% | 95.7% | 102.8 | DULL |
| _Vs Division | 26 | 11 | 8 | 0 | 2 | 2 | 0 | 3 | 97 | 90 | 7 | 31 | 0.596 | 97 | 180 | 277 | 0 | 0 | 122 | 81 | 95 | 16 | 910 | 945 | 870 | 993 | 64 | 817 | 249 | 290 | 629 | 107 | 21 | 19.63% | 116 | 18 | 84.48% | 1 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 51.4% | 10.7% | 89.0% | 99.6 | FUN | |
| _Vs Conference | 50 | 24 | 13 | 0 | 6 | 3 | 1 | 3 | 190 | 155 | 35 | 68 | 0.680 | 190 | 338 | 528 | 1 | 2 | 122 | 81 | 95 | 16 | 1705 | 945 | 870 | 993 | 64 | 1604 | 468 | 494 | 1229 | 196 | 41 | 20.92% | 213 | 37 | 82.63% | 2 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 55.8% | 11.1% | 90.3% | 101.5 | FUN | |
| _Since Last GM Reset | 82 | 40 | 21 | 0 | 9 | 4 | 4 | 4 | 311 | 251 | 60 | 114 | 0.695 | 311 | 551 | 862 | 2 | 3 | 122 | 81 | 95 | 16 | 2851 | 945 | 870 | 993 | 64 | 2704 | 787 | 813 | 1997 | 328 | 71 | 21.65% | 346 | 70 | 79.77% | 3 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 57.0% | 10.9% | 90.7% | 101.6 | FUN | |
| Total | 82 | 40 | 21 | 0 | 9 | 4 | 4 | 4 | 311 | 251 | 60 | 114 | 0.695 | 311 | 551 | 862 | 2 | 3 | 122 | 81 | 95 | 16 | 2851 | 945 | 870 | 993 | 64 | 2704 | 787 | 813 | 1997 | 328 | 71 | 21.65% | 346 | 70 | 79.77% | 3 | 1629 | 2980 | 54.66% | 1554 | 2998 | 51.83% | 727 | 1343 | 54.13% | 1934 | 1294 | 1937 | 653 | 1109 | 551 | 57.0% | 10.9% | 90.7% | 101.6 | FUN |
| Puck Time | |
|---|---|
| Offensive Zone | 23 |
| Neutral Zone | 13 |
| Defensive Zone | 23 |
| Puck Time | |
|---|---|
| Offensive Zone Start | 2980 |
| Neutral Zone Start | 1343 |
| Defensive Zone Start | 2998 |
| Puck Time | |
|---|---|
| With Puck | 30 |
| Without Puck | 30 |
| Faceoffs | |
|---|---|
| Faceoffs Won | 3910 |
| Faceoffs Lost | 3411 |
| Team Average Shots after | League Average Shots after | |
|---|---|---|
| 1st Period | 11.5 | 9.57 |
| 2nd Period | 22.1 | 20.31 |
| 3rd Period | 34.2 | 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 | 2.5 | 1.65 |
| 3rd Period | 3.6 | 2.67 |
| Overtime | 3.8 | 2.83 |
| Even Strenght Goal | 235 |
|---|---|
| PP Goal | 71 |
| PK Goal | 3 |
| Empty Net Goal | 2 |
| Home | Away | |
|---|---|---|
| Win | 27 | 26 |
| Lost | 7 | 14 |
| Overtime Lost | 7 | 1 |
| PP Attempt | 328 |
|---|---|
| PP Goal | 71 |
| PK Attempt | 346 |
| PK Goal Against | 70 |
| Home | |
|---|---|
| Shots For | 34.8 |
| Shots Against | 33.0 |
| Goals For | 3.8 |
| Goals Against | 3.1 |
| Hits | 24.4 |
| Shots Blocked | 9.6 |
| Pim | 9.9 |
| Salary Cap | |||
|---|---|---|---|
| Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
| 2,534,079$ | 0$ | 0$ | 75,000,000$ |
| Arena | About us | |
|---|---|---|
| Name | |
| City | Binghamton | |
| Capacity | 3000 | |
| Season Ticket Holders | 10% | |
| Arena Capacity - Ticket Price Attendance - % | |||||
|---|---|---|---|---|---|
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| Arena Capacity | 2000 | 1000 | |||
| Ticket Price | 40$ | 20$ | $ | $ | $ |
| Attendance | 57337 | 35392 | |||
| Attendance PCT | 69.92% | 86.32% | 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 | 2262 - 75.39% | 96,826$ | 3,969,857$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
| 2,534,079$ | 2,534,219$ | 0$ | 0$ |
| Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
|---|---|---|---|
| 2,729,121$ | 0$ | 2,708,564$ | 0$ |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 13,408$ | 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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