Player | # | POS | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | AGE | CONTRACT | |||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Rasmus Kupari | 0 | C | 100.00 | 73 | 38 | 87 | 65 | 80 | 79 | 85 | 67 | 76 | 66 | 65 | 64 | 68 | 63 | 66 | 0 | 50 | 71 | 23 | 1,066,250$/2yrs | |||
Peyton Krebs | 0 | C | 100.00 | 61 | 39 | 84 | 73 | 71 | 85 | 91 | 72 | 70 | 71 | 64 | 60 | 73 | 61 | 63 | 0 | 50 | 71 | 22 | 1,275,833$/3yrs | |||
Alex Chiasson | 0 | RW | 100.00 | 65 | 47 | 84 | 63 | 88 | 79 | 86 | 64 | 58 | 62 | 69 | 56 | 63 | 78 | 74 | 0 | 50 | 70 | 32 | 1,875,000$/2yrs | |||
Philip Tomasino | 0 | C | 100.00 | 58 | 34 | 86 | 73 | 68 | 79 | 84 | 71 | 66 | 70 | 63 | 59 | 72 | 61 | 63 | 0 | 50 | 70 | 21 | 1,005,000$/3yrs | |||
Emil Bemstrom | 0 | C | 100.00 | 64 | 37 | 92 | 70 | 73 | 78 | 79 | 67 | 71 | 62 | 68 | 59 | 67 | 63 | 64 | 0 | 50 | 69 | 23 | 1,144,444$/3yrs | |||
Joel Kiviranta | 0 | LW | 100.00 | 75 | 34 | 84 | 67 | 71 | 76 | 82 | 66 | 57 | 63 | 61 | 58 | 67 | 65 | 68 | 0 | 50 | 69 | 27 | 1,587,500$/2yrs | |||
Cole Perfetti | 0 | C | 100.00 | 61 | 36 | 95 | 70 | 68 | 86 | 73 | 69 | 70 | 68 | 63 | 62 | 74 | 62 | 63 | 0 | 50 | 69 | 21 | 1,627,500$/3yrs | |||
Alexander Holtz | 0 | RW | 100.00 | 62 | 37 | 91 | 67 | 73 | 91 | 78 | 65 | 56 | 63 | 64 | 57 | 66 | 61 | 62 | 0 | 50 | 68 | 21 | 1,744,167$/4yrs | |||
Carson Meyer | 0 | RW | 100.00 | 61 | 39 | 77 | 64 | 69 | 83 | 85 | 63 | 58 | 62 | 65 | 59 | 63 | 65 | 67 | 0 | 50 | 68 | 25 | 887,500$/2yrs | |||
Justin Brazeau | 0 | RW | 100.00 | 84 | 76 | 89 | 55 | 93 | 80 | 76 | 58 | 60 | 59 | 60 | 63 | 57 | 64 | 66 | 0 | 50 | 68 | 25 | 1,000,000$/1yrs | |||
Marco Rossi | 0 | C | 100.00 | 57 | 38 | 71 | 68 | 66 | 91 | 86 | 67 | 80 | 65 | 62 | 61 | 73 | 62 | 63 | 0 | 50 | 68 | 21 | 1,713,333$/4yrs | |||
Scott Sabourin | 0 | RW | 100.00 | 76 | 82 | 58 | 56 | 87 | 73 | 69 | 58 | 53 | 65 | 57 | 61 | 58 | 70 | 72 | 0 | 50 | 67 | 30 | 897,500$/2yrs | |||
Dylan Coghlan | 0 | D | 100.00 | 65 | 36 | 93 | 66 | 82 | 86 | 85 | 65 | 30 | 70 | 62 | 59 | 54 | 63 | 65 | 0 | 50 | 70 | 25 | 1,668,750$/2yrs | |||
Alexander Petrovic | 0 | D | 100.00 | 80 | 71 | 73 | 62 | 90 | 74 | 88 | 61 | 30 | 60 | 54 | 63 | 48 | 70 | 72 | 0 | 50 | 69 | 31 | 750,000$/2yrs | |||
Colton White | 0 | D | 100.00 | 65 | 39 | 88 | 66 | 75 | 84 | 71 | 65 | 30 | 67 | 63 | 60 | 52 | 65 | 67 | 0 | 50 | 69 | 25 | 758,333$/3yrs | |||
Alex Vlasic | 0 | D | 100.00 | 65 | 38 | 83 | 63 | 92 | 84 | 68 | 59 | 30 | 61 | 58 | 65 | 53 | 62 | 64 | 0 | 50 | 68 | 21 | 1,491,667$/3yrs | |||
Nils Lundkvist | 0 | D | 100.00 | 62 | 37 | 86 | 67 | 71 | 82 | 84 | 66 | 30 | 65 | 59 | 63 | 50 | 62 | 64 | 0 | 50 | 68 | 22 | 1,775,000$/3yrs | |||
Jake Christiansen | 0 | D | 100.00 | 64 | 37 | 83 | 62 | 72 | 83 | 85 | 61 | 30 | 62 | 63 | 54 | 61 | 63 | 65 | 0 | 50 | 67 | 23 | 937,500$/2yrs | |||
Scratches | ||||||||||||||||||||||||||
Albin Grewe | 0 | LW | 100.00 | 76 | 43 | 83 | 59 | 72 | 70 | 75 | 56 | 53 | 55 | 51 | 62 | 58 | 61 | 66 | 0 | 50 | 64 | 22 | 842,000$/1yrs | |||
Felix Robert | 0 | C | 100.00 | 61 | 37 | 84 | 58 | 61 | 82 | 88 | 59 | 62 | 60 | 61 | 54 | 60 | 63 | 65 | 0 | 50 | 64 | 23 | 916,667$/3yrs | |||
Brayden Tracey | 0 | LW | 100.00 | 59 | 37 | 83 | 58 | 70 | 74 | 76 | 57 | 53 | 56 | 55 | 59 | 57 | 61 | 63 | 0 | 50 | 63 | 21 | 863,333$/3yrs | |||
Dillon Hamaliuk | 0 | LW | 100.00 | 72 | 39 | 74 | 53 | 81 | 67 | 72 | 54 | 51 | 55 | 56 | 57 | 53 | 62 | 64 | 0 | 50 | 63 | 22 | 911,667$/3yrs | |||
Nick Pastujov | 0 | C | 100.00 | 66 | 38 | 86 | 54 | 75 | 73 | 60 | 53 | 60 | 52 | 56 | 54 | 55 | 64 | 66 | 0 | 50 | 61 | 25 | 750,000$/1yrs | |||
Bryce Misley | 0 | LW | 100.00 | 65 | 41 | 73 | 51 | 74 | 63 | 60 | 53 | 50 | 52 | 57 | 55 | 54 | 63 | 65 | 0 | 50 | 60 | 23 | 750,000$/1yrs | |||
Cameron Crotty | 0 | D | 100.00 | 71 | 39 | 86 | 57 | 81 | 73 | 92 | 56 | 30 | 55 | 54 | 58 | 45 | 63 | 65 | 0 | 50 | 65 | 23 | 925,000$/2yrs | |||
Connor Corcoran | 0 | D | 100.00 | 68 | 39 | 79 | 62 | 77 | 78 | 63 | 58 | 30 | 57 | 63 | 59 | 53 | 62 | 64 | 0 | 50 | 65 | 22 | 843,333$/2yrs | |||
Tobie Paquette-Bisson | 0 | D | 100.00 | 73 | 39 | 84 | 56 | 82 | 67 | 82 | 54 | 30 | 58 | 53 | 57 | 45 | 65 | 67 | 0 | 50 | 64 | 26 | 775,000$/2yrs | |||
Xavier Bernard | 0 | D | 100.00 | 75 | 39 | 91 | 54 | 84 | 63 | 60 | 52 | 30 | 53 | 50 | 55 | 45 | 62 | 64 | 0 | 50 | 61 | 22 | 925,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Michael Dipietro | 0 | 100.00 | 74 | 75 | 73 | 76 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 63 | 69 | 0 | 50 | 74 | 23 | 875,416$/2yrs |
Brett Brochu | 0 | 100.00 | 59 | 65 | 63 | 70 | 58 | 57 | 59 | 58 | 57 | 59 | 58 | 59 | 61 | 0 | 50 | 62 | 20 | 1,950,000$/1yrs |
Scratches | ||||||||||||||||||||
Mads Sogaard | 0 | 100.00 | 75 | 77 | 78 | 95 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 62 | 67 | 0 | 50 | 77 | 22 | 925,000$/3yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Kim St-Pierre | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 44 | 5 | 0$ |
General Manager |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Player Name | Team Name | # | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | SHT | OSB | OSM | SHT% | SB | MP | PPG | PPA | PPP | PKG | PKA | PKP | PKM | GW | GT | FO% | EG | HT | P/GP | PSG | PSS | GSAVG | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Peyton Krebs | Wolf Pack (NYR) | C | 82 | 42 | 62 | 104 | 6 | 28 | 0 | 98 | 357 | 89 | 258 | 11.76% | 17 | 19.91 | 14 | 18 | 32 | 0 | 0 | 0 | 107 | 8 | 2 | 50.53% | 0 | 0 | 1.27 | 0 | 0 | 1.26 | |||
2 | Cole Perfetti | Wolf Pack (NYR) | C | 82 | 33 | 56 | 89 | 9 | 12 | 0 | 70 | 287 | 70 | 244 | 11.50% | 33 | 20.25 | 8 | 22 | 30 | 0 | 2 | 2 | 234 | 7 | 0 | 44.26% | 0 | 0 | 1.09 | 1 | 1 | 1.11 | |||
3 | Colton White | Wolf Pack (NYR) | D | 82 | 20 | 41 | 61 | 10 | 73 | 5 | 161 | 127 | 57 | 115 | 15.75% | 125 | 23.04 | 7 | 7 | 14 | 1 | 0 | 1 | 201 | 6 | 2 | 0.00% | 0 | 0 | 0.74 | 0 | 0 | 0.66 | |||
4 | Alexander Holtz | Wolf Pack (NYR) | RW | 82 | 22 | 36 | 58 | 2 | 30 | 0 | 79 | 221 | 65 | 163 | 9.95% | 12 | 18.65 | 7 | 13 | 20 | 0 | 0 | 0 | 2 | 4 | 4 | 40.71% | 0 | 0 | 0.71 | 0 | 0 | 0.70 | |||
5 | Emil Bemstrom | Wolf Pack (NYR) | C | 82 | 27 | 31 | 58 | 5 | 10 | 0 | 66 | 265 | 70 | 192 | 10.19% | 17 | 16.34 | 6 | 6 | 12 | 0 | 2 | 2 | 174 | 2 | 1 | 51.30% | 1 | 0 | 0.71 | 0 | 0 | 0.79 | |||
6 | Rasmus Kupari | Wolf Pack (NYR) | C | 78 | 20 | 35 | 55 | 3 | 38 | 0 | 144 | 251 | 68 | 164 | 7.97% | 15 | 15.59 | 2 | 1 | 3 | 0 | 0 | 0 | 45 | 0 | 2 | 52.12% | 0 | 0 | 0.71 | 0 | 0 | 0.74 | |||
7 | Nils Lundkvist | Wolf Pack (NYR) | D | 78 | 8 | 47 | 55 | 1 | 24 | 0 | 111 | 143 | 31 | 79 | 5.59% | 125 | 21.51 | 4 | 14 | 18 | 0 | 0 | 0 | 173 | 1 | 0 | 0.00% | 0 | 0 | 0.71 | 0 | 0 | 0.68 | |||
8 | Dylan Coghlan | Wolf Pack (NYR) | D | 82 | 10 | 44 | 54 | 9 | 46 | 0 | 109 | 141 | 46 | 82 | 7.09% | 124 | 21.75 | 4 | 11 | 15 | 0 | 0 | 0 | 226 | 2 | 0 | 0.00% | 0 | 0 | 0.66 | 0 | 0 | 0.63 | |||
9 | Philip Tomasino | Wolf Pack (NYR) | C | 82 | 25 | 29 | 54 | 6 | 16 | 0 | 56 | 249 | 58 | 171 | 10.04% | 22 | 15.41 | 0 | 2 | 2 | 1 | 0 | 1 | 66 | 1 | 3 | 45.15% | 0 | 1 | 0.66 | 0 | 0 | 0.73 | |||
10 | Alex Chiasson | Wolf Pack (NYR) | RW | 79 | 25 | 25 | 50 | 5 | 27 | 5 | 123 | 210 | 62 | 139 | 11.90% | 14 | 17.42 | 4 | 12 | 16 | 0 | 0 | 0 | 187 | 4 | 1 | 50.25% | 0 | 0 | 0.63 | 0 | 1 | 0.69 | |||
11 | Alexander Petrovic | Wolf Pack (NYR) | D | 82 | 14 | 32 | 46 | 7 | 143 | 15 | 297 | 120 | 38 | 104 | 11.67% | 129 | 22.36 | 4 | 13 | 17 | 1 | 0 | 1 | 197 | 1 | 1 | 0.00% | 1 | 0 | 0.56 | 0 | 0 | 0.41 | |||
12 | Carson Meyer | Wolf Pack (NYR) | RW | 80 | 16 | 30 | 46 | 12 | 16 | 0 | 125 | 222 | 62 | 158 | 7.21% | 22 | 16.67 | 3 | 9 | 12 | 0 | 0 | 0 | 132 | 2 | 0 | 38.97% | 3 | 0 | 0.58 | 0 | 1 | 0.70 | |||
13 | Alex Vlasic | Wolf Pack (NYR) | D | 72 | 11 | 34 | 45 | 9 | 30 | 0 | 57 | 99 | 40 | 69 | 11.11% | 107 | 20.40 | 5 | 2 | 7 | 0 | 1 | 1 | 118 | 1 | 1 | 0.00% | 0 | 0 | 0.63 | 0 | 0 | 0.60 | |||
14 | Joel Kiviranta | Wolf Pack (NYR) | LW | 82 | 13 | 27 | 40 | 8 | 24 | 0 | 117 | 154 | 58 | 112 | 8.44% | 15 | 13.39 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 4 | 1 | 40.96% | 0 | 0 | 0.49 | 0 | 1 | 0.48 | |||
15 | Marco Rossi | Wolf Pack (NYR) | C | 78 | 10 | 18 | 28 | 14 | 12 | 0 | 52 | 117 | 32 | 82 | 8.55% | 9 | 8.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 50.25% | 0 | 0 | 0.36 | 0 | 0 | 0.42 | |||
16 | Jake Christiansen | Wolf Pack (NYR) | D | 82 | 6 | 21 | 27 | 12 | 32 | 0 | 86 | 69 | 16 | 50 | 8.70% | 59 | 15.66 | 1 | 4 | 5 | 0 | 0 | 0 | 49 | 0 | 1 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.34 | |||
17 | Justin Brazeau | Wolf Pack (NYR) | RW | 82 | 14 | 7 | 21 | 6 | 20 | 0 | 69 | 92 | 33 | 67 | 15.22% | 12 | 8.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 34.21% | 0 | 0 | 0.26 | 0 | 0 | 0.30 | |||
18 | Cameron Crotty | Wolf Pack (NYR) | D | 68 | 2 | 18 | 20 | 9 | 47 | 5 | 113 | 37 | 10 | 22 | 5.41% | 79 | 13.83 | 0 | 0 | 0 | 0 | 0 | 0 | 118 | 0 | 0 | 0.00% | 0 | 0 | 0.29 | 0 | 0 | 0.26 | |||
19 | Scott Sabourin | Wolf Pack (NYR) | RW | 79 | 5 | 8 | 13 | 6 | 27 | 5 | 86 | 58 | 23 | 48 | 8.62% | 4 | 6.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.45% | 0 | 0 | 0.16 | 0 | 0 | 0.18 | |||
20 | Connor Corcoran | Wolf Pack (NYR) | D | 15 | 0 | 3 | 3 | -7 | 10 | 0 | 20 | 9 | 8 | 6 | 0.00% | 26 | 15.44 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.20 | 0 | 0 | 0.03 | |||
Team Total or Average | 1529 | 323 | 604 | 927 | 132 | 665 | 35 | 2039 | 3228 | 936 | 2325 | 10.01% | 966 | 16.60 | 69 | 134 | 203 | 2661 | 3 | 5 | 8 | 2051 | 48 | 21 | 48.37% | 7618 | 0 | 0 | 5 | 1 | 0.73 | 1 | 4 |
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 | Mads Sogaard | Wolf Pack (NYR) | 40 | 19 | 11 | 5 | 0.910 | 3.21 | 2170 | 6 | 1 | 116 | 1285 | 0 | 2 | 2 | 0.000 | 0 | 34 | 36 | 3 | 3 | 0 |
2 | Michael Dipietro | Wolf Pack (NYR) | 5 | 2 | 1 | 0 | 0.898 | 3.59 | 217 | 0 | 0 | 13 | 127 | 0 | 1 | 0 | 0.000 | 0 | 3 | 19 | 0 | 1 | 0 |
Team Total or Average | 45 | 21 | 12 | 5 | 0.909 | 3.24 | 2387 | 6 | 1 | 129 | 1412 | 0 | 3 | 2 | 0.000 | 0 | 37 | 55 | 3 | 4 | 0 |
Player Name | POS | Age | Cap Hit | 2017-18 | 2018-19 | 2019-20 | 2020-21 | 2021-22 | 2022-23 | 2023-24 | 2024-25 |
---|---|---|---|---|---|---|---|---|---|---|---|
Albin Grewe | LW | 22 | 842,000$ | 842,000$ | RFA | ||||||
Alex Chiasson | RW | 32 | 1,875,000$ | 3,000,000$ | 750,000$ | UFA | |||||
Alex Vlasic | D | 21 | 1,491,667$ | 1,491,667$ | 1,491,667$ | 1,491,667$ | RFA | ||||
Alexander Holtz | RW | 21 | 1,744,167$ | 1,744,167$ | 1,744,167$ | 1,744,167$ | 1,744,167$ | RFA | |||
Alexander Petrovic | D | 31 | 750,000$ | 750,000$ | 750,000$ | UFA | |||||
Brayden Tracey | LW | 21 | 863,333$ | 863,333$ | 863,333$ | 863,333$ | RFA | ||||
Brett Brochu | G | 20 | 1,950,000$ | 1,950,000$ | RFA | ||||||
Bryce Misley | LW | 23 | 750,000$ | 750,000$ | RFA | ||||||
Cameron Crotty | D | 23 | 925,000$ | 925,000$ | 925,000$ | RFA | |||||
Carson Meyer | RW | 25 | 887,500$ | 1,025,000$ | 750,000$ | UFA | |||||
Cole Perfetti | C | 21 | 1,627,500$ | 1,627,500$ | 1,627,500$ | 1,627,500$ | RFA | ||||
Colton White | D | 25 | 758,333$ | 750,000$ | 762,500$ | 762,500$ | UFA | ||||
Connor Corcoran | D | 22 | 843,333$ | 873,333$ | 813,333$ | RFA | |||||
Dillon Hamaliuk | LW | 22 | 911,667$ | 925,000$ | 905,000$ | 905,000$ | RFA | ||||
Dylan Coghlan | D | 25 | 1,668,750$ | 2,575,000$ | 762,500$ | UFA | |||||
Emil Bemstrom | C | 23 | 1,144,444$ | 1,633,333$ | 900,000$ | 900,000$ | RFA | ||||
Felix Robert | C | 23 | 916,667$ | 850,000$ | 950,000$ | 950,000$ | RFA | ||||
Jake Christiansen | D | 23 | 937,500$ | 950,000$ | 925,000$ | RFA | |||||
Joel Kiviranta | LW | 27 | 1,587,500$ | 2,125,000$ | 1,050,000$ | UFA | |||||
Justin Brazeau | RW | 25 | 1,000,000$ | 1,000,000$ | RFA | ||||||
Mads Sogaard | G | 22 | 925,000$ | 925,000$ | 925,000$ | 925,000$ | RFA | ||||
Marco Rossi | C | 21 | 1,713,333$ | 1,713,333$ | 1,713,333$ | 1,713,333$ | 1,713,333$ | RFA | |||
Michael Dipietro | G | 23 | 875,416$ | 910,833$ | 840,000$ | RFA | |||||
Nick Pastujov | C | 25 | 750,000$ | 750,000$ | RFA | ||||||
Nils Lundkvist | D | 22 | 1,775,000$ | 1,775,000$ | 1,775,000$ | 1,775,000$ | RFA | ||||
Peyton Krebs | C | 22 | 1,275,833$ | 1,275,833$ | 1,275,833$ | 1,275,833$ | RFA | ||||
Philip Tomasino | C | 21 | 1,005,000$ | 1,005,000$ | 1,005,000$ | 1,005,000$ | RFA | ||||
Rasmus Kupari | C | 23 | 1,066,250$ | 1,081,667$ | 1,050,833$ | RFA | |||||
Scott Sabourin | RW | 30 | 897,500$ | 1,045,000$ | 750,000$ | UFA | |||||
Tobie Paquette-Bisson | D | 26 | 775,000$ | 800,000$ | 750,000$ | UFA | |||||
Xavier Bernard | D | 22 | 925,000$ | 925,000$ | RFA |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT | GF% | SH% | SV% | PDO | PDOBRK |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Checkers | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 13 | 20 | 0 | 0 | 109 | 113 | 90 | 4 | 84 | 1078 | 1001 | 1030 | 17 | 75 | 17 | 26 | 45 | 6 | 1 | 16.67% | 9 | 3 | 66.67% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 66.7% | 8.3% | 92.0% | 100.3 | DULL |
2 | Marlies | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 13 | 10 | 3 | 5 | 0.833 | 13 | 26 | 39 | 0 | 0 | 109 | 113 | 90 | 4 | 125 | 1078 | 1001 | 1030 | 17 | 106 | 36 | 18 | 62 | 12 | 2 | 16.67% | 9 | 0 | 100.00% | 1 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 52.4% | 10.4% | 90.6% | 101.0 | FUN |
3 | Americans | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 2 | 0.500 | 12 | 24 | 36 | 0 | 0 | 109 | 113 | 90 | 4 | 74 | 1078 | 1001 | 1030 | 17 | 67 | 28 | 23 | 59 | 11 | 5 | 45.45% | 8 | 4 | 50.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 63.6% | 16.2% | 88.1% | 104.3 | FUN |
4 | Binghamton Senateurs | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 0 | 0.000 | 7 | 13 | 20 | 0 | 0 | 109 | 113 | 90 | 4 | 90 | 1078 | 1001 | 1030 | 17 | 72 | 28 | 18 | 51 | 7 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 38.9% | 7.8% | 81.9% | 89.7 | Unlucky |
5 | Bears | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 26 | 20 | 6 | 8 | 0.667 | 26 | 42 | 68 | 0 | 0 | 109 | 113 | 90 | 4 | 250 | 1078 | 1001 | 1030 | 17 | 182 | 54 | 47 | 170 | 22 | 5 | 22.73% | 20 | 2 | 90.00% | 1 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 53.8% | 10.4% | 89.0% | 99.4 | FUN |
6 | Rockets | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 2 | 3 | 4 | 1.000 | 5 | 8 | 13 | 0 | 1 | 109 | 113 | 90 | 4 | 55 | 1078 | 1001 | 1030 | 17 | 89 | 24 | 22 | 47 | 6 | 1 | 16.67% | 11 | 0 | 100.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 66.7% | 9.1% | 97.8% | 106.8 | LUCKY |
7 | Providence Bruins | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 14 | 22 | 0 | 0 | 109 | 113 | 90 | 4 | 106 | 1078 | 1001 | 1030 | 17 | 101 | 30 | 28 | 65 | 13 | 2 | 15.38% | 14 | 2 | 85.71% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 50.0% | 7.5% | 92.1% | 99.6 | DULL |
8 | Wolves | 6 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 20 | 23 | -3 | 5 | 0.417 | 20 | 36 | 56 | 0 | 0 | 109 | 113 | 90 | 4 | 228 | 1078 | 1001 | 1030 | 17 | 250 | 62 | 44 | 171 | 21 | 4 | 19.05% | 18 | 6 | 66.67% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 48.5% | 8.8% | 90.8% | 99.6 | Unlucky |
9 | Eagles | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 109 | 113 | 90 | 4 | 29 | 1078 | 1001 | 1030 | 17 | 31 | 11 | 10 | 23 | 3 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 75.0% | 10.3% | 96.8% | 107.1 | LUCKY |
10 | Phantoms | 6 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 21 | 23 | -2 | 5 | 0.417 | 21 | 39 | 60 | 1 | 0 | 109 | 113 | 90 | 4 | 219 | 1078 | 1001 | 1030 | 17 | 225 | 70 | 55 | 128 | 18 | 5 | 27.78% | 24 | 5 | 79.17% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 47.1% | 9.6% | 89.8% | 99.4 | FUN |
11 | islanders | 7 | 3 | 3 | 0 | 1 | 0 | 0 | 0 | 28 | 23 | 5 | 8 | 0.571 | 28 | 51 | 79 | 0 | 0 | 109 | 113 | 90 | 4 | 287 | 1078 | 1001 | 1030 | 17 | 216 | 78 | 58 | 158 | 25 | 2 | 8.00% | 28 | 6 | 78.57% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 60.5% | 9.8% | 89.4% | 99.1 | FUN |
12 | IceHogs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 109 | 113 | 90 | 4 | 27 | 1078 | 1001 | 1030 | 17 | 48 | 10 | 10 | 23 | 5 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 33.3% | 7.4% | 87.5% | 94.9 | Unlucky |
13 | Griffins | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 5 | 3 | 4 | 1.000 | 8 | 14 | 22 | 0 | 0 | 109 | 113 | 90 | 4 | 70 | 1078 | 1001 | 1030 | 17 | 67 | 25 | 6 | 39 | 8 | 3 | 37.50% | 3 | 0 | 100.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 50.0% | 11.4% | 92.5% | 104.0 | LUCKY |
14 | Monsters | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 25 | 19 | 6 | 8 | 0.667 | 25 | 41 | 66 | 1 | 0 | 109 | 113 | 90 | 4 | 237 | 1078 | 1001 | 1030 | 17 | 190 | 59 | 34 | 138 | 19 | 5 | 26.32% | 14 | 3 | 78.57% | 1 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 55.6% | 10.5% | 90.0% | 100.5 | FUN |
15 | Barracuda | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 109 | 113 | 90 | 4 | 35 | 1078 | 1001 | 1030 | 17 | 42 | 16 | 10 | 25 | 4 | 1 | 25.00% | 5 | 0 | 100.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 50.0% | 5.7% | 97.6% | 103.3 | DULL |
16 | Condors | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 109 | 113 | 90 | 4 | 50 | 1078 | 1001 | 1030 | 17 | 31 | 11 | 4 | 31 | 3 | 1 | 33.33% | 2 | 0 | 100.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 50.0% | 4.0% | 96.8% | 100.8 | DULL |
17 | Iowa Wild | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 109 | 113 | 90 | 4 | 31 | 1078 | 1001 | 1030 | 17 | 36 | 9 | 23 | 25 | 1 | 1 | 100.00% | 4 | 1 | 75.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 57.1% | 16.1% | 88.9% | 105.0 | FUN |
18 | Reign | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 109 | 113 | 90 | 4 | 63 | 1078 | 1001 | 1030 | 17 | 77 | 19 | 23 | 60 | 4 | 1 | 25.00% | 6 | 0 | 100.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 80.0% | 14.3% | 97.4% | 111.7 | LUCKY |
19 | Thunderbirds | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 8 | 0 | 2 | 0.500 | 8 | 13 | 21 | 0 | 0 | 109 | 113 | 90 | 4 | 50 | 1078 | 1001 | 1030 | 17 | 85 | 27 | 10 | 38 | 7 | 2 | 28.57% | 5 | 1 | 80.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 46.2% | 16.0% | 90.6% | 106.6 | FUN |
20 | Wranglers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 109 | 113 | 90 | 4 | 34 | 1078 | 1001 | 1030 | 17 | 52 | 10 | 10 | 18 | 5 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 40.0% | 5.9% | 92.3% | 98.2 | DULL |
21 | Gulls | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 109 | 113 | 90 | 4 | 55 | 1078 | 1001 | 1030 | 17 | 37 | 11 | 2 | 26 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 71.4% | 9.1% | 94.6% | 103.7 | LUCKY |
22 | Texas Stars | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 109 | 113 | 90 | 4 | 39 | 1078 | 1001 | 1030 | 17 | 45 | 21 | 8 | 30 | 5 | 1 | 20.00% | 4 | 2 | 50.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 33.3% | 7.7% | 86.7% | 94.4 | Unlucky |
23 | Canucks | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 1 | 0.500 | 5 | 9 | 14 | 0 | 0 | 109 | 113 | 90 | 4 | 25 | 1078 | 1001 | 1030 | 17 | 35 | 14 | 8 | 19 | 5 | 3 | 60.00% | 4 | 1 | 75.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 28.6% | 20.0% | 82.9% | 102.9 | FUN |
24 | Comets | 9 | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 35 | 30 | 5 | 10 | 0.556 | 35 | 61 | 96 | 0 | 0 | 109 | 113 | 90 | 4 | 354 | 1078 | 1001 | 1030 | 17 | 338 | 72 | 71 | 196 | 33 | 8 | 24.24% | 30 | 5 | 83.33% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 51.9% | 9.9% | 91.1% | 101.0 | Unlucky |
25 | W-B/Scranton Penguins | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 26 | 25 | 1 | 6 | 0.500 | 26 | 49 | 75 | 0 | 0 | 109 | 113 | 90 | 4 | 262 | 1078 | 1001 | 1030 | 17 | 198 | 64 | 55 | 157 | 24 | 5 | 20.83% | 22 | 8 | 63.64% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 55.3% | 9.9% | 87.4% | 97.3 | FUN |
26 | Roadrunners | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 109 | 113 | 90 | 4 | 36 | 1078 | 1001 | 1030 | 17 | 42 | 11 | 4 | 19 | 1 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 66.7% | 11.1% | 95.2% | 106.3 | LUCKY |
27 | Crunch | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 4 | 1.000 | 6 | 10 | 16 | 0 | 0 | 109 | 113 | 90 | 4 | 66 | 1078 | 1001 | 1030 | 17 | 50 | 16 | 6 | 41 | 7 | 2 | 28.57% | 3 | 0 | 100.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 50.0% | 9.1% | 92.0% | 101.1 | LUCKY |
28 | Admirals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 12 | 18 | 0 | 0 | 109 | 113 | 90 | 4 | 43 | 1078 | 1001 | 1030 | 17 | 34 | 6 | 4 | 24 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 55.6% | 14.0% | 85.3% | 99.2 | FUN |
29 | Moose | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 109 | 113 | 90 | 4 | 31 | 1078 | 1001 | 1030 | 17 | 41 | 17 | 6 | 32 | 5 | 1 | 20.00% | 2 | 1 | 50.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 66.7% | 16.1% | 92.7% | 108.8 | LUCKY |
30 | Silver Knights | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 109 | 113 | 90 | 4 | 23 | 1078 | 1001 | 1030 | 17 | 32 | 12 | 4 | 17 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 16.7% | 13.0% | 84.4% | 97.4 | FUN |
31 | Firebirds | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 109 | 113 | 90 | 4 | 44 | 1078 | 1001 | 1030 | 17 | 36 | 9 | 12 | 20 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 57.1% | 11.4% | 91.7% | 103.0 | LUCKY |
_Vs Division | 46 | 23 | 20 | 0 | 1 | 2 | 0 | 0 | 181 | 163 | 18 | 50 | 0.543 | 181 | 319 | 500 | 2 | 0 | 109 | 113 | 90 | 4 | 1837 | 1078 | 1001 | 1030 | 17 | 1599 | 459 | 364 | 1118 | 162 | 34 | 20.99% | 156 | 35 | 77.56% | 2 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 53.5% | 9.9% | 89.8% | 99.7 | FUN | |
_Vs Conference | 64 | 33 | 24 | 0 | 2 | 4 | 1 | 0 | 247 | 219 | 28 | 76 | 0.594 | 247 | 441 | 688 | 2 | 1 | 109 | 113 | 90 | 4 | 2507 | 1078 | 1001 | 1030 | 17 | 2226 | 663 | 511 | 1527 | 232 | 50 | 21.55% | 222 | 46 | 79.28% | 3 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 53.2% | 9.9% | 90.2% | 100.0 | FUN | |
_Since Last GM Reset | 82 | 44 | 29 | 0 | 3 | 5 | 1 | 0 | 316 | 278 | 38 | 101 | 0.616 | 316 | 569 | 885 | 2 | 1 | 109 | 113 | 90 | 4 | 3122 | 1078 | 1001 | 1030 | 17 | 2930 | 877 | 659 | 1957 | 297 | 65 | 21.89% | 281 | 56 | 80.07% | 3 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 53.1% | 10.1% | 90.5% | 100.6 | FUN | |
Total | 82 | 44 | 29 | 0 | 3 | 5 | 1 | 0 | 316 | 278 | 38 | 101 | 0.616 | 316 | 569 | 885 | 2 | 1 | 109 | 113 | 90 | 4 | 3122 | 1078 | 1001 | 1030 | 17 | 2930 | 877 | 659 | 1957 | 297 | 65 | 21.89% | 281 | 56 | 80.07% | 3 | 1525 | 3162 | 48.23% | 1523 | 3073 | 49.56% | 637 | 1349 | 47.22% | 1950 | 1349 | 1937 | 603 | 1056 | 526 | 53.1% | 10.1% | 90.5% | 100.6 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 3162 |
Neutral Zone Start | 1349 |
Defensive Zone Start | 3073 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 3685 |
Faceoffs Lost | 3899 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 13.1 | 9.57 |
2nd Period | 25.4 | 20.31 |
3rd Period | 37.9 | 30.68 |
Overtime | 38.1 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.7 | 1.65 |
3rd Period | 3.8 | 2.67 |
Overtime | 3.9 | 2.83 |
Even Strenght Goal | 246 |
---|---|
PP Goal | 65 |
PK Goal | 3 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 28 | 20 |
Lost | 13 | 16 |
Overtime Lost | 0 | 5 |
PP Attempt | 297 |
---|---|
PP Goal | 65 |
PK Attempt | 281 |
PK Goal Against | 56 |
Home | |
---|---|
Shots For | 38.1 |
Shots Against | 35.7 |
Goals For | 3.9 |
Goals Against | 3.4 |
Hits | 23.9 |
Shots Blocked | 10.7 |
Pim | 8.0 |
Salary Cap | |||
---|---|---|---|
Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
3,885,699$ | 0$ | 0$ | 75,000,000$ |
Arena | About us | |
---|---|---|
Name | ||
City | Hartford | |
Capacity | 3000 | |
Season Ticket Holders | 10% |
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Arena Capacity | 2000 | 1000 | |||
Ticket Price | 25$ | 15$ | $ | $ | $ |
Attendance | 79853 | 38565 | |||
Attendance PCT | 97.38% | 94.06% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
0 | 2888 - 96.27% | 93,572$ | 3,836,450$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
3,885,699$ | 3,545,768$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
663,468$ | 0$ | 659,976$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 20,891$ | 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 |
Left Wing | Center | Right Wing |
---|---|---|
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Defense #1 | Defense #2 | Goalie |
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