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 | 24 | 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 | 26 | 758,333$/3yrs | |||
Alex Vlasic | 0 | D | 100.00 | 65 | 38 | 83 | 63 | 92 | 84 | 68 | 59 | 30 | 61 | 58 | 65 | 53 | 62 | 64 | 0 | 50 | 68 | 22 | 1,491,667$/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 | 22 | 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 | 24 | 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$/2yrs | |||
Xavier Bernard | 0 | D | 100.00 | 75 | 39 | 91 | 54 | 84 | 63 | 60 | 52 | 30 | 53 | 50 | 55 | 45 | 62 | 64 | 0 | 50 | 61 | 23 | 925,000$/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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mads Sogaard | 0 | 100.00 | 75 | 77 | 78 | 95 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 62 | 67 | 0 | 50 | 77 | 22 | 925,000$/3yrs |
Michael Dipietro | 0 | 100.00 | 74 | 75 | 73 | 76 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 63 | 69 | 0 | 50 | 74 | 23 | 875,416$/2yrs |
Scratches | ||||||||||||||||||||
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$/1yrs |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Kim St-Pierre | 75 | 75 | 75 | 75 | 75 | 75 | 75 | Can | 44 | 5 | 0$ |
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 | 15 | 1 | 15 | 16 | 2 | 6 | 0 | 13 | 64 | 23 | 55 | 1.56% | 5 | 23.27 | 0 | 4 | 4 | 0 | 0 | 0 | 47 | 0 | 0 | 49.57% | 0 | 0 | 1.07 | 0 | 0 | 1.09 | |||
2 | Joel Kiviranta | Wolf Pack (NYR) | LW | 15 | 4 | 11 | 15 | -1 | 8 | 0 | 42 | 44 | 10 | 38 | 9.09% | 2 | 23.15 | 1 | 3 | 4 | 0 | 0 | 0 | 20 | 1 | 3 | 40.89% | 0 | 0 | 1.00 | 0 | 0 | 0.82 | |||
3 | Nils Lundkvist | Wolf Pack (NYR) | D | 15 | 4 | 11 | 15 | 0 | 2 | 0 | 13 | 34 | 8 | 18 | 11.76% | 28 | 24.41 | 2 | 3 | 5 | 0 | 0 | 0 | 51 | 0 | 1 | 0.00% | 0 | 0 | 1.00 | 0 | 0 | 0.96 | |||
4 | Cole Perfetti | Wolf Pack (NYR) | C | 15 | 9 | 5 | 14 | 5 | 4 | 0 | 11 | 71 | 24 | 44 | 12.68% | 10 | 20.85 | 2 | 1 | 3 | 0 | 0 | 0 | 47 | 1 | 0 | 51.43% | 1 | 0 | 0.93 | 0 | 0 | 1.21 | |||
5 | Alexander Petrovic | Wolf Pack (NYR) | D | 15 | 4 | 9 | 13 | 4 | 28 | 0 | 49 | 22 | 8 | 20 | 18.18% | 27 | 23.39 | 3 | 2 | 5 | 0 | 0 | 0 | 38 | 1 | 0 | 0.00% | 0 | 0 | 0.87 | 0 | 0 | 0.67 | |||
6 | Philip Tomasino | Wolf Pack (NYR) | C | 15 | 5 | 7 | 12 | 4 | 2 | 0 | 12 | 39 | 15 | 28 | 12.82% | 0 | 13.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 50.00% | 0 | 0 | 0.80 | 0 | 0 | 0.88 | |||
7 | Dylan Coghlan | Wolf Pack (NYR) | D | 15 | 4 | 5 | 9 | -3 | 12 | 0 | 23 | 17 | 4 | 13 | 23.53% | 21 | 18.60 | 2 | 1 | 3 | 0 | 0 | 0 | 46 | 1 | 1 | 0.00% | 0 | 0 | 0.60 | 0 | 0 | 0.41 | |||
8 | Emil Bemstrom | Wolf Pack (NYR) | C | 15 | 2 | 6 | 8 | -2 | 2 | 0 | 11 | 42 | 18 | 40 | 4.76% | 7 | 18.81 | 1 | 3 | 4 | 0 | 0 | 0 | 47 | 1 | 0 | 50.76% | 0 | 0 | 0.53 | 0 | 0 | 0.57 | |||
9 | Carson Meyer | Wolf Pack (NYR) | RW | 15 | 4 | 3 | 7 | 3 | 2 | 0 | 25 | 34 | 12 | 18 | 11.76% | 6 | 16.46 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 40.95% | 0 | 0 | 0.47 | 0 | 0 | 0.59 | |||
10 | Jake Christiansen | Wolf Pack (NYR) | D | 15 | 1 | 6 | 7 | -1 | 6 | 0 | 33 | 16 | 7 | 13 | 6.25% | 21 | 19.50 | 0 | 3 | 3 | 0 | 0 | 0 | 32 | 0 | 0 | 0.00% | 0 | 0 | 0.47 | 0 | 0 | 0.44 | |||
11 | Colton White | Wolf Pack (NYR) | D | 12 | 3 | 3 | 6 | -1 | 6 | 0 | 17 | 18 | 4 | 7 | 16.67% | 14 | 18.94 | 1 | 1 | 2 | 0 | 0 | 0 | 17 | 0 | 0 | 0.00% | 0 | 0 | 0.50 | 0 | 0 | 0.45 | |||
12 | Alexander Holtz | Wolf Pack (NYR) | RW | 15 | 3 | 2 | 5 | 3 | 6 | 0 | 19 | 41 | 16 | 24 | 7.32% | 2 | 20.49 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 1 | 0 | 35.71% | 0 | 0 | 0.33 | 0 | 0 | 0.52 | |||
13 | Alex Chiasson | Wolf Pack (NYR) | RW | 15 | 1 | 4 | 5 | -2 | 4 | 0 | 12 | 29 | 8 | 15 | 3.45% | 2 | 12.33 | 1 | 1 | 2 | 0 | 0 | 0 | 29 | 0 | 0 | 43.75% | 0 | 0 | 0.33 | 0 | 0 | 0.31 | |||
14 | Alex Vlasic | Wolf Pack (NYR) | D | 12 | 2 | 2 | 4 | -2 | 4 | 0 | 6 | 5 | 2 | 4 | 40.00% | 17 | 16.04 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0.33 | 0 | 0 | 0.22 | |||
15 | Justin Brazeau | Wolf Pack (NYR) | RW | 15 | 2 | 0 | 2 | -7 | 18 | 0 | 37 | 39 | 10 | 24 | 5.13% | 6 | 16.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.00% | 0 | 0 | 0.13 | 0 | 0 | 0.04 | |||
16 | Connor Corcoran | Wolf Pack (NYR) | D | 3 | 1 | 1 | 2 | 4 | 2 | 0 | 5 | 2 | 0 | 0 | 50.00% | 2 | 17.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.67 | 0 | 0 | 0.93 | |||
17 | Rasmus Kupari | Wolf Pack (NYR) | C | 15 | 0 | 1 | 1 | -1 | 0 | 0 | 9 | 17 | 0 | 9 | 0.00% | 1 | 5.11 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 33.33% | 0 | 0 | 0.07 | 0 | 0 | 0.12 | |||
18 | Scott Sabourin | Wolf Pack (NYR) | RW | 15 | 1 | 0 | 1 | -5 | 2 | 0 | 7 | 8 | 2 | 6 | 12.50% | 1 | 5.14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 71.43% | 0 | 0 | 0.07 | 0 | 0 | -0.03 | |||
19 | Cameron Crotty | Wolf Pack (NYR) | D | 3 | 0 | 0 | 0 | -1 | 2 | 0 | 6 | 2 | 0 | 1 | 0.00% | 5 | 18.97 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | -0.05 | |||
20 | Marco Rossi | Wolf Pack (NYR) | C | 15 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0.00% | 0 | 0.02 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00 | 0 | 0 | 0.00 | |||
Team Total or Average | 270 | 51 | 91 | 142 | -1 | 116 | 0 | 351 | 544 | 171 | 377 | 9.38% | 177 | 16.49 | 13 | 24 | 37 | 533 | 0 | 0 | 0 | 390 | 9 | 6 | 44.99% | 1396 | 0 | 0 | 1 | 0 | 0.64 | 0 | 0 |
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 | Michael Dipietro | Wolf Pack (NYR) | 8 | 5 | 1 | 1 | 0.914 | 2.73 | 461 | 2 | 0 | 21 | 243 | 0 | 0 | 1 | 0.000 | 0 | 7 | 8 | 0 | 0 | 0 |
2 | Mads Sogaard | Wolf Pack (NYR) | 8 | 4 | 3 | 1 | 0.900 | 3.74 | 449 | 2 | 0 | 28 | 281 | 0 | 1 | 0 | 0.000 | 0 | 8 | 0 | 1 | 1 | 0 |
Team Total or Average | 16 | 9 | 4 | 2 | 0.906 | 3.23 | 910 | 4 | 0 | 49 | 524 | 0 | 1 | 1 | 0.000 | 0 | 15 | 8 | 1 | 1 | 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 | 22 | 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 | 22 | 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 | 24 | 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 | 26 | 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 | 24 | 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 | 23 | 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 | Americans | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 22 | 18 | 4 | 8 | 0.667 | 22 | 36 | 58 | 1 | 0 | 20 | 17 | 12 | 2 | 237 | 168 | 161 | 207 | 8 | 180 | 56 | 50 | 139 | 32 | 4 | 12.50% | 24 | 4 | 83.33% | 0 | 269 | 585 | 45.98% | 248 | 554 | 44.77% | 111 | 257 | 43.19% | 354 | 242 | 366 | 112 | 190 | 93 | 56.3% | 9.3% | 90.0% | 99.3 | FUN |
2 | Bears | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 12 | 6 | 8 | 1.000 | 18 | 35 | 53 | 0 | 0 | 20 | 17 | 12 | 2 | 151 | 168 | 161 | 207 | 8 | 151 | 50 | 28 | 96 | 18 | 4 | 22.22% | 13 | 3 | 76.92% | 0 | 269 | 585 | 45.98% | 248 | 554 | 44.77% | 111 | 257 | 43.19% | 354 | 242 | 366 | 112 | 190 | 93 | 60.9% | 11.9% | 92.1% | 104.0 | LUCKY |
3 | Providence Bruins | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 11 | 20 | -9 | 2 | 0.200 | 11 | 20 | 31 | 0 | 0 | 20 | 17 | 12 | 2 | 156 | 168 | 161 | 207 | 8 | 194 | 71 | 42 | 116 | 13 | 5 | 38.46% | 21 | 5 | 76.19% | 0 | 269 | 585 | 45.98% | 248 | 554 | 44.77% | 111 | 257 | 43.19% | 354 | 242 | 366 | 112 | 190 | 93 | 28.6% | 7.1% | 89.7% | 96.7 | Unlucky |
_Vs Division | 4 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 12 | 6 | 8 | 1.000 | 18 | 35 | 53 | 0 | 0 | 20 | 17 | 12 | 2 | 151 | 168 | 161 | 207 | 8 | 151 | 50 | 28 | 96 | 18 | 4 | 22.22% | 13 | 3 | 76.92% | 0 | 269 | 585 | 45.98% | 248 | 554 | 44.77% | 111 | 257 | 43.19% | 354 | 242 | 366 | 112 | 190 | 93 | 60.9% | 11.9% | 92.1% | 104.0 | LUCKY | |
_Vs Conference | 15 | 9 | 6 | 0 | 0 | 0 | 0 | 0 | 51 | 50 | 1 | 18 | 0.600 | 51 | 91 | 142 | 1 | 0 | 20 | 17 | 12 | 2 | 544 | 168 | 161 | 207 | 8 | 525 | 177 | 120 | 351 | 63 | 13 | 20.63% | 58 | 12 | 79.31% | 0 | 269 | 585 | 45.98% | 248 | 554 | 44.77% | 111 | 257 | 43.19% | 354 | 242 | 366 | 112 | 190 | 93 | 50.0% | 9.4% | 90.5% | 99.9 | FUN | |
_Since Last GM Reset | 15 | 9 | 6 | 0 | 0 | 0 | 0 | 0 | 51 | 50 | 1 | 18 | 0.600 | 51 | 91 | 142 | 1 | 0 | 20 | 17 | 12 | 2 | 544 | 168 | 161 | 207 | 8 | 525 | 177 | 120 | 351 | 63 | 13 | 20.63% | 58 | 12 | 79.31% | 0 | 269 | 585 | 45.98% | 248 | 554 | 44.77% | 111 | 257 | 43.19% | 354 | 242 | 366 | 112 | 190 | 93 | 50.0% | 9.4% | 90.5% | 99.9 | FUN | |
Total | 15 | 9 | 6 | 0 | 0 | 0 | 0 | 0 | 51 | 50 | 1 | 18 | 0.600 | 51 | 91 | 142 | 1 | 0 | 20 | 17 | 12 | 2 | 544 | 168 | 161 | 207 | 8 | 525 | 177 | 120 | 351 | 63 | 13 | 20.63% | 58 | 12 | 79.31% | 0 | 269 | 585 | 45.98% | 248 | 554 | 44.77% | 111 | 257 | 43.19% | 354 | 242 | 366 | 112 | 190 | 93 | 50.0% | 9.4% | 90.5% | 99.9 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 24 |
Puck Time | |
---|---|
Offensive Zone Start | 585 |
Neutral Zone Start | 257 |
Defensive Zone Start | 554 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 628 |
Faceoffs Lost | 768 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 11.2 | 9.57 |
2nd Period | 21.9 | 20.31 |
3rd Period | 35.7 | 30.68 |
Overtime | 36.3 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 1.3 | 0.64 |
2nd Period | 2.5 | 1.65 |
3rd Period | 3.3 | 2.67 |
Overtime | 3.4 | 2.83 |
Even Strenght Goal | 37 |
---|---|
PP Goal | 13 |
PK Goal | 0 |
Empty Net Goal | 1 |
Home | Away | |
---|---|---|
Win | 4 | 5 |
Lost | 4 | 2 |
Overtime Lost | 0 | 0 |
PP Attempt | 63 |
---|---|
PP Goal | 13 |
PK Attempt | 58 |
PK Goal Against | 12 |
Home | |
---|---|
Shots For | 36.3 |
Shots Against | 35.0 |
Goals For | 3.4 |
Goals Against | 3.3 |
Hits | 23.4 |
Shots Blocked | 11.8 |
Pim | 8.0 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
Wed, Apr 19 | ROC | @ | HAR | ROC2,HAR5 | RECAP | |||||||||
Fri, Apr 21 | ROC | @ | HAR | ROC4,HAR3 (OT) | RECAP | |||||||||
Sun, Apr 23 | HAR | @ | ROC | HAR3,ROC2 | RECAP | |||||||||
Tue, Apr 25 | HAR | @ | ROC | HAR2,ROC4 | RECAP | |||||||||
Thu, Apr 27 | ROC | @ | HAR | ROC2,HAR4 | RECAP | |||||||||
Sat, Apr 29 | HAR | @ | ROC | HAR5,ROC4 (OT) | RECAP | |||||||||
Wed, May 3 | HER | @ | HAR | HER4,HAR5 | RECAP | |||||||||
Fri, May 5 | HER | @ | HAR | HER2,HAR4 | RECAP | |||||||||
Sun, May 7 | HAR | @ | HER | HAR4,HER2 | RECAP | |||||||||
Tue, May 9 | HAR | @ | HER | HAR5,HER4 | RECAP | |||||||||
Wed, May 17 | PRO | @ | HAR | PRO5,HAR4 (OT) | RECAP | |||||||||
Fri, May 19 | PRO | @ | HAR | PRO4,HAR1 | RECAP | |||||||||
Sun, May 21 | HAR | @ | PRO | HAR4,PRO3 (OT) | RECAP | |||||||||
Tue, May 23 | HAR | @ | PRO | HAR1,PRO3 | RECAP | |||||||||
Thu, May 25 | PRO | @ | HAR | PRO5,HAR1 | RECAP |
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 | 16000 | 7994 | |||
Attendance PCT | 100.00% | 99.93% | 0.00% | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
33 | 2999 - 99.98% | 96,833$ | 774,666$ | 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 |
---|---|---|---|
0$ | 0$ | 0$ | 0$ |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 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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