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Full Scoreboard »» |
Hartford Whalers 10-14-2, 22pts · 15th in EASTERN CONFERENCE |
# | Player | POS | CON | HT | WT | Age | DOB | POB | Contract | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | LW | 99% | 5' 9" | 163 | 31 | Aug 03, 1993 | $10,000,000/4yrs | 51 | 32 | 93 | 97 | 59 | 75 | 98 | 98 | 25 | 98 | 93 | 81 | 83 | 99 | 99 | 42 | 45 | 83 | |
0 | ![]() | C/LW | 100% | 6' 0" | 195 | 35 | Feb 06, 1990 | $7,500,000/3yrs | 59 | 32 | 90 | 85 | 73 | 80 | 84 | 93 | 84 | 91 | 91 | 91 | 74 | 99 | 99 | 5 | 45 | 82 | |
0 | ![]() | C/LW | 100% | 5' 11" | 191 | 34 | Mar 23, 1991 | $9,000,000/5yrs | 90 | 80 | 60 | 89 | 71 | 82 | 79 | 90 | 86 | 81 | 84 | 88 | 75 | 99 | 99 | 28 | 45 | 80 | |
0 | ![]() | LW | 100% | 6' 1" | 201 | 30 | Apr 16, 1995 | $4,000,000/1yrs | 93 | 89 | 55 | 86 | 77 | 65 | 76 | 90 | 25 | 85 | 81 | 76 | 72 | 98 | 99 | 55 | 45 | 77 | |
0 | ![]() | LW/RW | 100% | 5' 10" | 176 | 26 | Jan 11, 1999 | $3,500,000/2yrs | 48 | 41 | 96 | 92 | 64 | 88 | 95 | 85 | 64 | 82 | 81 | 85 | 68 | 70 | 70 | 60 | 45 | 76 | |
32 | ![]() | LW | 100% | 6' 3" | 209 | 28 | Dec 14, 1996 | $750,000/6yrs | 84 | 79 | 64 | 85 | 82 | 64 | 78 | 87 | 25 | 77 | 74 | 76 | 70 | 92 | 94 | 58 | 45 | 75 | |
0 | ![]() | C | 100% | 6' 2" | 190 | 27 | Feb 03, 1998 | $1,000,000/1yrs | 91 | 96 | 63 | 83 | 74 | 83 | 85 | 77 | 90 | 74 | 80 | 89 | 25 | 76 | 76 | 63 | 45 | 75 | |
0 | ![]() | C/W | 97% | 6' 0" | 179 | 23 | Nov 25, 2001 | $1,215,500/1yrs | 68 | 63 | 67 | 91 | 67 | 76 | 95 | 85 | 64 | 81 | 82 | 80 | 71 | 63 | 59 | 77 | 43 | 75 | |
37 | ![]() | LW | 100% | 6' 2" | 204 | 29 | Apr 01, 1996 | $1,250,000/6yrs | 89 | 75 | 67 | 67 | 79 | 87 | 90 | 76 | 52 | 74 | 78 | 82 | 25 | 88 | 88 | 49 | 45 | 74 | |
60 | ![]() | C/W | 100% | 6' 0" | 183 | 32 | Apr 16, 1993 | $1,100,000/2yrs | 55 | 33 | 96 | 80 | 69 | 56 | 78 | 82 | 85 | 73 | 77 | 74 | 78 | 99 | 99 | 40 | 45 | 73 | |
0 | ![]() | C/W | 100% | 5' 10" | 180 | 33 | Apr 15, 1992 | $900,000/1yrs | 53 | 27 | 94 | 83 | 66 | 56 | 76 | 81 | 79 | 75 | 78 | 80 | 78 | 99 | 99 | 28 | 45 | 73 | |
0 | ![]() | C/LW | 100% | 5' 11" | 185 | 22 | Apr 23, 2002 | $950,000/2yrs | 50 | 43 | 86 | 91 | 69 | 86 | 95 | 83 | 77 | 80 | 75 | 72 | 71 | 58 | 58 | 86 | 46 | 73 | |
24 | ![]() | D | 100% | 6' 0" | 181 | 30 | Jul 25, 1994 | $6,000,000/5yrs | 92 | 81 | 59 | 87 | 68 | 82 | 79 | 89 | 25 | 84 | 74 | 86 | 64 | 99 | 99 | 43 | 45 | 80 | |
0 | ![]() | D | 100% | 6' 2" | 210 | 34 | Nov 19, 1990 | $6,000,000/3yrs | 84 | 66 | 69 | 83 | 81 | 84 | 76 | 92 | 25 | 78 | 80 | 87 | 67 | 99 | 99 | 16 | 45 | 80 | |
0 | ![]() | D | 100% | 6' 0" | 209 | 26 | Sep 17, 1998 | $4,414,000/2yrs | 94 | 53 | 83 | 84 | 79 | 86 | 89 | 74 | 25 | 61 | 47 | 93 | 25 | 80 | 80 | 59 | 45 | 77 | |
0 | ![]() | D | 100% | 6' 2" | 200 | 32 | Dec 05, 1992 | $1,500,050/2yrs | 83 | 63 | 70 | 82 | 77 | 78 | 80 | 83 | 25 | 80 | 62 | 75 | 65 | 99 | 99 | 30 | 45 | 76 | |
0 | ![]() | D | 100% | 6' 2" | 196 | 31 | Jul 12, 1993 | $6,000,000/5yrs | 61 | 41 | 91 | 83 | 76 | 88 | 78 | 79 | 25 | 65 | 51 | 93 | 25 | 79 | 83 | 40 | 45 | 75 | |
0 | ![]() | D | 100% | 6' 2" | 202 | 29 | Apr 22, 1995 | $750,000/1yrs | 63 | 33 | 87 | 93 | 78 | 70 | 74 | 68 | 25 | 57 | 51 | 86 | 55 | 99 | 96 | 56 | 43 | 74 | |
Scratches | |||||||||||||||||||||||||||
0 | ![]() | C/LW | 100% | 5' 11" | 180 | 27 | Jun 08, 1997 | $1,000,000/4yrs | 53 | 32 | 97 | 95 | 67 | 78 | 74 | 77 | 25 | 75 | 69 | 74 | 73 | 97 | 96 | 60 | 23 | 73 | |
0 | ![]() | D | 100% | 6' 2" | 181 | 28 | May 28, 1996 | $700,069/3yrs | 93 | 88 | 54 | 79 | 70 | 67 | 67 | 79 | 25 | 72 | 67 | 80 | 58 | 92 | 95 | 59 | 26 | 74 |
# | Goalie | Pos | Condition | HT | WT | Age | DOB | POB | Contract | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | ![]() | G | 100% | 6' 0" | 208 | 29 | Jan 07, 1996 | $1,500,000/3yrs | 78 | 76 | 82 | 78 | 79 | 93 | 95 | 93 | 94 | 82 | 76 | 95 | 99 | 44 | 40 | 85 | |
0 | ![]() | G | 100% | 6' 5" | 191 | 27 | Mar 01, 1998 | $1,500,000/6yrs | 79 | 75 | 81 | 77 | 79 | 95 | 96 | 95 | 95 | 73 | 73 | 79 | 79 | 61 | 51 | 83 | |
Scratches |
General Manager | Jordan Eles |
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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 | PPM | PKG | PKA | PKP | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Adam Henrique | 0 | C/LW | 26 | 9 | 14 | 23 | 1 | 2 | 0 | 20 | 83 | 24 | 60 | 10.84% | 2 | 17.31 | 1 | 4 | 5 | 69 | 0 | 0 | 0 | 14 | 2 | 1 | 53.67% | 613 | 0 | 0 | 0 | 0 | 1.02 | 0 | 0 | |
2 | Matt Dumba | 24 | D | 26 | 5 | 17 | 22 | -4 | 38 | 0 | 72 | 46 | 17 | 29 | 10.87% | 20 | 23.29 | 2 | 3 | 5 | 59 | 0 | 0 | 0 | 78 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | |
3 | Quinn Smith | 0 | LW | 26 | 11 | 10 | 21 | 1 | 0 | 0 | 6 | 99 | 15 | 92 | 11.11% | 2 | 17.30 | 2 | 3 | 5 | 66 | 0 | 0 | 0 | 0 | 1 | 1 | 23.40% | 47 | 0 | 0 | 0 | 0 | 0.93 | 0 | 0 | |
4 | Connor Zary | 0 | C/LW/RW | 26 | 9 | 9 | 18 | -1 | 6 | 0 | 19 | 78 | 16 | 42 | 11.54% | 5 | 19.91 | 1 | 4 | 5 | 59 | 0 | 0 | 0 | 81 | 3 | 0 | 28.13% | 32 | 0 | 0 | 0 | 0 | 0.70 | 0 | 0 | |
5 | Remi Elie | 0 | LW | 27 | 4 | 11 | 15 | -2 | 30 | 0 | 80 | 61 | 22 | 45 | 6.56% | 3 | 15.41 | 0 | 4 | 4 | 57 | 0 | 0 | 0 | 4 | 0 | 0 | 22.73% | 44 | 0 | 0 | 0 | 0 | 0.72 | 0 | 0 | |
6 | Ivan Chekhovich | 0 | LW/RW | 26 | 4 | 10 | 14 | -1 | 2 | 0 | 2 | 71 | 15 | 63 | 5.63% | 6 | 17.45 | 1 | 1 | 2 | 68 | 0 | 0 | 0 | 6 | 0 | 1 | 26.83% | 41 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | |
7 | Erik Haula | 0 | C/LW | 26 | 9 | 5 | 14 | -12 | 10 | 0 | 58 | 63 | 18 | 42 | 14.29% | 6 | 16.64 | 2 | 2 | 4 | 58 | 0 | 0 | 0 | 0 | 2 | 0 | 53.32% | 527 | 0 | 0 | 0 | 1 | 0.65 | 0 | 0 | |
8 | John Moore | 0 | D | 26 | 1 | 13 | 14 | -4 | 30 | 0 | 56 | 39 | 14 | 19 | 2.56% | 34 | 22.21 | 1 | 2 | 3 | 59 | 0 | 0 | 0 | 54 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | |
9 | Michael McLeod | 0 | C | 26 | 8 | 6 | 14 | 4 | 22 | 0 | 71 | 57 | 13 | 36 | 14.04% | 7 | 16.43 | 2 | 0 | 2 | 4 | 0 | 0 | 0 | 86 | 0 | 0 | 53.20% | 562 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |
10 | Mario Ferraro | 0 | D | 26 | 1 | 9 | 10 | -6 | 18 | 0 | 45 | 15 | 6 | 12 | 6.67% | 25 | 21.25 | 0 | 0 | 0 | 65 | 0 | 0 | 0 | 88 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
11 | Jordan Weal | 0 | C/LW/RW | 26 | 2 | 6 | 8 | -1 | 0 | 0 | 0 | 34 | 11 | 33 | 5.88% | 3 | 15.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 88 | 0 | 0 | 45.45% | 33 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
12 | Jonas Brodin | 0 | D | 26 | 2 | 6 | 8 | 0 | 4 | 0 | 3 | 15 | 8 | 9 | 13.33% | 43 | 18.20 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 75 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | |
13 | Nathan Beaulieu | 0 | D | 26 | 0 | 7 | 7 | 0 | 46 | 0 | 61 | 24 | 5 | 11 | 0.00% | 18 | 20.48 | 0 | 0 | 0 | 67 | 0 | 0 | 0 | 76 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | |
14 | Markus Granlund | 60 | C/LW/RW | 26 | 3 | 3 | 6 | -3 | 0 | 0 | 1 | 42 | 4 | 15 | 7.14% | 2 | 12.80 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 87 | 0 | 0 | 54.51% | 288 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
15 | AJ Greer | 32 | LW | 26 | 2 | 4 | 6 | -3 | 4 | 0 | 29 | 27 | 4 | 12 | 7.41% | 0 | 7.04 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 21.43% | 14 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | |
16 | Rory Kerins | 0 | C/LW | 25 | 3 | 3 | 6 | 2 | 0 | 0 | 0 | 33 | 10 | 16 | 9.09% | 0 | 9.67 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 43.95% | 157 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | |
17 | Warren Foegele | 37 | LW | 26 | 3 | 1 | 4 | -4 | 14 | 0 | 23 | 17 | 5 | 9 | 17.65% | 1 | 7.76 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26.67% | 15 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | |
18 | Madison Bowey | 0 | D | 23 | 0 | 3 | 3 | 3 | 6 | 0 | 11 | 17 | 1 | 7 | 0.00% | 36 | 15.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.17 | 0 | 0 | |
19 | Ben Thomas | 0 | D | 3 | 0 | 1 | 1 | 0 | 2 | 0 | 10 | 2 | 0 | 2 | 0.00% | 2 | 14.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.47 | 0 | 0 | |
20 | Anthony Beauvillier | 0 | C/LW | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 6.93 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14.29% | 7 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 469 | 76 | 138 | 214 | -29 | 234 | 0 | 567 | 825 | 208 | 554 | 9.21% | 215 | 16.29 | 12 | 23 | 35 | 644 | 0 | 0 | 0 | 745 | 10 | 4 | 50.38% | 2380 | 0 | 0 | 0 | 1 | 0.56 | 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 | GS | W | L | OTL | PCT | GAA | GSAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Alex Nedeljkovic | 20 | 20 | 9 | 10 | 1 | 0.897 | 3.44 | -11.5 | 1135 | 2 | 0 | 65 | 630 | 0 | 0 | 0 | 0.000 | 0 | 20 | 6 | 2 | 0 | 0 | |
2 | Gilles Senn | 8 | 6 | 1 | 4 | 1 | 0.882 | 3.48 | -7.0 | 431 | 2 | 0 | 25 | 212 | 0 | 1 | 0 | 0.000 | 0 | 6 | 20 | 0 | 0 | 0 | |
Team Total or Average | 28 | 26 | 10 | 14 | 2 | 0.893 | 3.45 | 1566 | 4 | 0 | 90 | 842 | 0 | 1 | 0 | 0.000 | 0 | 26 | 26 | 2 | 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 |
# | 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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 1 | 5 | 1 | 0 | 71 | 28 | 21 | 22 | 0 | 52 | 19 | 18 | 41 | 5 | 0 | 0.00% | 8 | 3 | 62.50% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 48 | 33 | 43 | 14 | 27 | 14 | 77.8% | 9.9% | 90.4% | 100.2 | FUN | |
2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 0 | 0.000 | 7 | 14 | 21 | 0 | 0 | 2 | 4 | 1 | 0 | 65 | 21 | 18 | 26 | 0 | 75 | 11 | 18 | 43 | 6 | 1 | 16.67% | 9 | 2 | 77.78% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 49 | 35 | 47 | 13 | 22 | 11 | 40.0% | 10.8% | 85.3% | 96.1 | FUN | |
3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 33 | 4 | 19 | 10 | 0 | 21 | 9 | 4 | 24 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 26 | 18 | 23 | 7 | 13 | 7 | 33.3% | 3.0% | 90.5% | 93.5 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 32 | 12 | 8 | 12 | 0 | 35 | 4 | 12 | 14 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 24 | 16 | 22 | 7 | 12 | 6 | 66.7% | 12.5% | 91.4% | 103.9 | LUCKY | |
5 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 0 | 1 | 46 | 12 | 20 | 11 | 3 | 45 | 8 | 14 | 27 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 22 | 15 | 29 | 7 | 11 | 5 | 57.1% | 10.9% | 91.1% | 102.0 | Unlucky | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 2 | 2 | 0 | 32 | 4 | 17 | 11 | 0 | 36 | 8 | 10 | 28 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 25 | 18 | 21 | 6 | 12 | 6 | 75.0% | 12.5% | 97.2% | 109.7 | LUCKY | |
7 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 15 | -11 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 0 | 0 | 4 | 0 | 62 | 15 | 15 | 32 | 0 | 117 | 29 | 28 | 61 | 8 | 0 | 0.00% | 13 | 4 | 69.23% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 64 | 41 | 76 | 23 | 39 | 19 | 26.7% | 6.5% | 87.2% | 93.6 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 44 | 13 | 9 | 22 | 0 | 38 | 10 | 4 | 16 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 25 | 17 | 22 | 6 | 12 | 6 | 42.9% | 11.4% | 89.5% | 100.8 | FUN | |
9 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 14 | 21 | 0 | 0 | 3 | 1 | 3 | 0 | 63 | 24 | 17 | 22 | 0 | 57 | 13 | 16 | 43 | 4 | 2 | 50.00% | 7 | 1 | 85.71% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 51 | 35 | 45 | 13 | 26 | 13 | 50.0% | 11.1% | 89.5% | 100.6 | FUN | |
10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 65 | 20 | 28 | 17 | 0 | 72 | 16 | 16 | 48 | 8 | 2 | 25.00% | 8 | 3 | 62.50% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 48 | 33 | 46 | 13 | 25 | 12 | 10.0% | 4.6% | 83.3% | 87.9 | Unlucky | |
11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 3 | 0 | 0 | 66 | 29 | 21 | 16 | 0 | 55 | 17 | 20 | 48 | 4 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 45 | 30 | 48 | 15 | 25 | 12 | 42.9% | 4.5% | 90.9% | 95.5 | Unlucky | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 24 | 6 | 6 | 12 | 0 | 34 | 12 | 6 | 11 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 23 | 16 | 24 | 6 | 11 | 5 | 75.0% | 12.5% | 97.1% | 109.6 | LUCKY | |
13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 1 | 6 | 2 | 0 | 66 | 10 | 27 | 29 | 0 | 55 | 23 | 16 | 42 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 49 | 34 | 44 | 15 | 26 | 13 | 72.7% | 13.6% | 92.7% | 106.4 | LUCKY | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 12 | 7 | 11 | 0 | 30 | 5 | 8 | 13 | 8 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 25 | 17 | 22 | 7 | 12 | 6 | 25.0% | 3.3% | 90.0% | 93.3 | Unlucky | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 1 | 1 | 3 | 0 | 28 | 9 | 8 | 11 | 0 | 38 | 9 | 10 | 21 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 21 | 15 | 26 | 6 | 12 | 5 | 55.6% | 17.9% | 84.2% | 102.1 | FUN | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 34 | 3 | 20 | 11 | 0 | 24 | 8 | 16 | 27 | 0 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 25 | 17 | 22 | 7 | 12 | 6 | 60.0% | 8.8% | 91.7% | 100.5 | DULL | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 24 | 11 | 6 | 7 | 0 | 33 | 7 | 16 | 24 | 6 | 2 | 33.33% | 8 | 1 | 87.50% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 21 | 14 | 26 | 8 | 12 | 5 | 0.0% | 8.3% | 90.9% | 99.2 | Unlucky | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 35 | 11 | 8 | 16 | 0 | 25 | 7 | 10 | 27 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 24 | 16 | 21 | 8 | 13 | 6 | 50.0% | 5.7% | 88.0% | 93.7 | Unlucky | |
_Vs Division | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 10 | 4 | 6 | 0.750 | 14 | 24 | 38 | 0 | 0 | 3 | 9 | 2 | 0 | 137 | 43 | 49 | 45 | 0 | 111 | 31 | 46 | 82 | 7 | 0 | 0.00% | 21 | 4 | 80.95% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 98 | 67 | 89 | 29 | 52 | 26 | 70.0% | 10.2% | 91.0% | 101.2 | FUN | |
_Vs Conference | 7 | 3 | 3 | 0 | 0 | 1 | 0 | 0 | 18 | 17 | 1 | 7 | 0.500 | 18 | 30 | 48 | 0 | 0 | 4 | 12 | 2 | 0 | 236 | 76 | 89 | 71 | 0 | 187 | 57 | 70 | 154 | 16 | 0 | 0.00% | 33 | 5 | 84.85% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 170 | 116 | 160 | 51 | 91 | 46 | 60.0% | 7.6% | 90.9% | 98.5 | Unlucky | |
_Since Last GM Reset | 26 | 9 | 14 | 0 | 1 | 2 | 0 | 0 | 75 | 90 | -15 | 22 | 0.423 | 75 | 136 | 211 | 0 | 0 | 19 | 34 | 21 | 1 | 820 | 244 | 275 | 298 | 3 | 842 | 215 | 242 | 558 | 77 | 12 | 15.58% | 112 | 21 | 81.25% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 623 | 428 | 615 | 190 | 330 | 164 | 47.7% | 9.1% | 89.3% | 98.5 | FUN | |
Total | 26 | 9 | 14 | 0 | 1 | 2 | 0 | 0 | 75 | 90 | -15 | 22 | 0.423 | 75 | 136 | 211 | 0 | 0 | 19 | 34 | 21 | 1 | 820 | 244 | 275 | 298 | 3 | 842 | 215 | 242 | 558 | 77 | 12 | 15.58% | 112 | 21 | 81.25% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 623 | 428 | 615 | 190 | 330 | 164 | 47.7% | 9.1% | 89.3% | 98.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 964 |
Neutral Zone Start | 437 |
Defensive Zone Start | 961 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1196 |
Faceoffs Lost | 1166 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.4 | 9.57 |
2nd Period | 20.0 | 20.31 |
3rd Period | 31.4 | 30.68 |
Overtime | 31.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 63 |
---|---|
PP Goal | 12 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 3 |
Lost | 4 | 10 |
Overtime Lost | 1 | 1 |
PP Attempt | 77 |
---|---|
PP Goal | 12 |
PK Attempt | 112 |
PK Goal Against | 21 |
Home | |
---|---|
Shots For | 31.5 |
Shots Against | 32.4 |
Goals For | 2.9 |
Goals Against | 3.5 |
Hits | 21.5 |
Shots Blocked | 8.3 |
Pim | 9.3 |
![]() | |
Projected Total Cap Hit | $79,617,119 |
Projected Cap Space | $3,882,881 |
Retains And Buyout Cap Hit | $8,525,000 |
Players In Salary Cap | 23 |
Contracts | 48/55 |
LTIR Players | 0 |
Prospect Count | 8 |
Whalers Roster | Pos | Age | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 |
---|---|---|---|---|---|---|---|---|---|---|
AJ Greer | LW | 28 | $750,000 | $750,000 | $750,000 | $750,000 | $750,000 | $750,000 | ||
Adam Henrique | C/LW | 35 | $7,500,000 | $7,500,000 | $7,500,000 | |||||
Alex Nedeljkovic | G | 29 | $1,500,000 | $1,500,000 | $1,500,000 | |||||
Anthony Beauvillier | C/LW | 27 | $1,000,000 | $1,000,000 | $1,000,000 | $1,000,000 | ||||
Ben Thomas | D | 28 | $700,069 | $700,069 | $700,069 | |||||
Connor Zary | C/LW/RW | 23 | $1,215,500 | |||||||
Erik Haula | C/LW | 34 | $9,000,000 | $9,000,000 | $9,000,000 | $9,000,000 | $9,000,000 | |||
Gilles Senn | G | 27 | $1,500,000 | $1,500,000 | $1,500,000 | $1,500,000 | $1,500,000 | $1,500,000 | ||
Ivan Chekhovich | LW/RW | 26 | $3,500,000 | $3,500,000 | ||||||
John Moore | D | 34 | $6,000,000 | $6,000,000 | $6,000,000 | |||||
Jonas Brodin | D | 31 | $6,000,000 | $6,000,000 | $6,000,000 | $6,000,000 | $6,000,000 | |||
Jordan Weal | C/LW/RW | 33 | $900,000 | |||||||
Madison Bowey | D | 29 | $750,000 | |||||||
Mario Ferraro | D | 26 | $4,414,000 | $4,414,000 | ||||||
Markus Granlund | C/LW/RW | 32 | $1,100,000 | $1,100,000 | ||||||
Matt Dumba | D | 30 | $6,000,000 | $6,000,000 | $6,000,000 | $6,000,000 | $6,000,000 | |||
Michael McLeod | C | 27 | $1,000,000 | |||||||
Nathan Beaulieu | D | 32 | $1,500,050 | $1,500,050 | ||||||
Quinn Smith | LW | 31 | $10,000,000 | $10,000,000 | $10,000,000 | $10,000,000 | ||||
Remi Elie | LW | 30 | $4,000,000 | |||||||
Rory Kerins | C/LW | 22 | $950,000 | $950,000 | ||||||
Warren Foegele | LW | 29 | $1,250,000 | $1,250,000 | $1,250,000 | $1,250,000 | $1,250,000 | $1,250,000 |
Whalers Roster | Pos | Age | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 |
---|---|---|---|---|---|---|---|---|---|---|
Alexander Burmistrov | C/RW | 33 | $2,000,000 | |||||||
Alexander Delnov | LW/RW | 31 | $750,000 | |||||||
Austin Wagner | LW/RW | 27 | $750,000 | |||||||
Ben Thomson | LW | 32 | $750,000 | $750,000 | ||||||
Borna Rendulic | LW/RW | 33 | $750,000 | $750,000 | ||||||
Casey Cizikas | C | 34 | $950,000 | |||||||
Christian Fischer | LW/RW | 28 | $1,000,000 | |||||||
Cody Corbett | D | 31 | $750,000 | |||||||
Daniel Pribyl | C/RW | 32 | $750,000 | $750,000 | ||||||
Daniel Taylor | G | 38 | $750,000 | |||||||
Dmytro Timashov | LW/RW | 28 | $750,000 | $750,000 | ||||||
Filip Kral | D | 25 | $700,000 | |||||||
Jakub Demek | C | 21 | $1,000,000 | $1,000,000 | ||||||
Josh Healey | D | 30 | $750,000 | |||||||
Kyle Clifford | LW/RW | 34 | $750,000 | |||||||
Liam Kirk | C/LW | 25 | $800,000 | |||||||
Lias Andersson | C/LW | 26 | $700,000 | |||||||
Loic Leduc | D | 30 | $750,000 | |||||||
Matt Hackett | G | 35 | $950,000 | |||||||
Matthew Spencer | D | 28 | $1,000,000 | $1,000,000 | ||||||
Miles Gendron | D | 28 | $750,000 | |||||||
Petrus Palmu | LW/RW | 27 | $1,150,000 | |||||||
Sam Brittain | G | 32 | $1,000,000 | |||||||
Stelio Mattheos | C/RW | 25 | $900,000 | |||||||
Valentin Zykov | LW/RW | 29 | $750,000 | $750,000 | ||||||
Victor Bartley | D | 37 | $750,000 |
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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 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 0.500 | 7 | 10 | 17 | 0 | 0 | 1 | 5 | 1 | 0 | 71 | 28 | 21 | 22 | 0 | 52 | 19 | 18 | 41 | 5 | 0 | 0.00% | 8 | 3 | 62.50% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 48 | 33 | 43 | 14 | 27 | 14 | 77.8% | 9.9% | 90.4% | 100.2 | FUN | |
2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 11 | -4 | 0 | 0.000 | 7 | 14 | 21 | 0 | 0 | 2 | 4 | 1 | 0 | 65 | 21 | 18 | 26 | 0 | 75 | 11 | 18 | 43 | 6 | 1 | 16.67% | 9 | 2 | 77.78% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 49 | 35 | 47 | 13 | 22 | 11 | 40.0% | 10.8% | 85.3% | 96.1 | FUN | |
3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 33 | 4 | 19 | 10 | 0 | 21 | 9 | 4 | 24 | 5 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 26 | 18 | 23 | 7 | 13 | 7 | 33.3% | 3.0% | 90.5% | 93.5 | Unlucky | |
4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 2 | 1 | 0 | 32 | 12 | 8 | 12 | 0 | 35 | 4 | 12 | 14 | 2 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 24 | 16 | 22 | 7 | 12 | 6 | 66.7% | 12.5% | 91.4% | 103.9 | LUCKY | |
5 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 0 | 1 | 46 | 12 | 20 | 11 | 3 | 45 | 8 | 14 | 27 | 2 | 1 | 50.00% | 5 | 1 | 80.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 22 | 15 | 29 | 7 | 11 | 5 | 57.1% | 10.9% | 91.1% | 102.0 | Unlucky | |
6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 0 | 2 | 2 | 0 | 32 | 4 | 17 | 11 | 0 | 36 | 8 | 10 | 28 | 4 | 1 | 25.00% | 4 | 0 | 100.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 25 | 18 | 21 | 6 | 12 | 6 | 75.0% | 12.5% | 97.2% | 109.7 | LUCKY | |
7 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 15 | -11 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 0 | 0 | 4 | 0 | 62 | 15 | 15 | 32 | 0 | 117 | 29 | 28 | 61 | 8 | 0 | 0.00% | 13 | 4 | 69.23% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 64 | 41 | 76 | 23 | 39 | 19 | 26.7% | 6.5% | 87.2% | 93.6 | Unlucky | |
8 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 1 | 2 | 0 | 44 | 13 | 9 | 22 | 0 | 38 | 10 | 4 | 16 | 4 | 2 | 50.00% | 2 | 0 | 100.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 25 | 17 | 22 | 6 | 12 | 6 | 42.9% | 11.4% | 89.5% | 100.8 | FUN | |
9 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 6 | 1 | 3 | 0.750 | 7 | 14 | 21 | 0 | 0 | 3 | 1 | 3 | 0 | 63 | 24 | 17 | 22 | 0 | 57 | 13 | 16 | 43 | 4 | 2 | 50.00% | 7 | 1 | 85.71% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 51 | 35 | 45 | 13 | 26 | 13 | 50.0% | 11.1% | 89.5% | 100.6 | FUN | |
10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 1 | 2 | 0 | 0 | 65 | 20 | 28 | 17 | 0 | 72 | 16 | 16 | 48 | 8 | 2 | 25.00% | 8 | 3 | 62.50% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 48 | 33 | 46 | 13 | 25 | 12 | 10.0% | 4.6% | 83.3% | 87.9 | Unlucky | |
11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 0 | 3 | 0 | 0 | 66 | 29 | 21 | 16 | 0 | 55 | 17 | 20 | 48 | 4 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 45 | 30 | 48 | 15 | 25 | 12 | 42.9% | 4.5% | 90.9% | 95.5 | Unlucky | |
12 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 0 | 2 | 1 | 0 | 24 | 6 | 6 | 12 | 0 | 34 | 12 | 6 | 11 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 23 | 16 | 24 | 6 | 11 | 5 | 75.0% | 12.5% | 97.1% | 109.6 | LUCKY | |
13 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 1 | 6 | 2 | 0 | 66 | 10 | 27 | 29 | 0 | 55 | 23 | 16 | 42 | 6 | 1 | 16.67% | 7 | 1 | 85.71% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 49 | 34 | 44 | 15 | 26 | 13 | 72.7% | 13.6% | 92.7% | 106.4 | LUCKY | |
14 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 30 | 12 | 7 | 11 | 0 | 30 | 5 | 8 | 13 | 8 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 25 | 17 | 22 | 7 | 12 | 6 | 25.0% | 3.3% | 90.0% | 93.3 | Unlucky | |
15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0.000 | 5 | 7 | 12 | 0 | 0 | 1 | 1 | 3 | 0 | 28 | 9 | 8 | 11 | 0 | 38 | 9 | 10 | 21 | 1 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 21 | 15 | 26 | 6 | 12 | 5 | 55.6% | 17.9% | 84.2% | 102.1 | FUN | |
16 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 1 | 2 | 0 | 0 | 34 | 3 | 20 | 11 | 0 | 24 | 8 | 16 | 27 | 0 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 25 | 17 | 22 | 7 | 12 | 6 | 60.0% | 8.8% | 91.7% | 100.5 | DULL | |
17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 24 | 11 | 6 | 7 | 0 | 33 | 7 | 16 | 24 | 6 | 2 | 33.33% | 8 | 1 | 87.50% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 21 | 14 | 26 | 8 | 12 | 5 | 0.0% | 8.3% | 90.9% | 99.2 | Unlucky | |
18 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 35 | 11 | 8 | 16 | 0 | 25 | 7 | 10 | 27 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 24 | 16 | 21 | 8 | 13 | 6 | 50.0% | 5.7% | 88.0% | 93.7 | Unlucky | |
_Vs Division | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 10 | 4 | 6 | 0.750 | 14 | 24 | 38 | 0 | 0 | 3 | 9 | 2 | 0 | 137 | 43 | 49 | 45 | 0 | 111 | 31 | 46 | 82 | 7 | 0 | 0.00% | 21 | 4 | 80.95% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 98 | 67 | 89 | 29 | 52 | 26 | 70.0% | 10.2% | 91.0% | 101.2 | FUN | |
_Vs Conference | 7 | 3 | 3 | 0 | 0 | 1 | 0 | 0 | 18 | 17 | 1 | 7 | 0.500 | 18 | 30 | 48 | 0 | 0 | 4 | 12 | 2 | 0 | 236 | 76 | 89 | 71 | 0 | 187 | 57 | 70 | 154 | 16 | 0 | 0.00% | 33 | 5 | 84.85% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 170 | 116 | 160 | 51 | 91 | 46 | 60.0% | 7.6% | 90.9% | 98.5 | Unlucky | |
_Since Last GM Reset | 26 | 9 | 14 | 0 | 1 | 2 | 0 | 0 | 75 | 90 | -15 | 22 | 0.423 | 75 | 136 | 211 | 0 | 0 | 19 | 34 | 21 | 1 | 820 | 244 | 275 | 298 | 3 | 842 | 215 | 242 | 558 | 77 | 12 | 15.58% | 112 | 21 | 81.25% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 623 | 428 | 615 | 190 | 330 | 164 | 47.7% | 9.1% | 89.3% | 98.5 | FUN | |
Total | 26 | 9 | 14 | 0 | 1 | 2 | 0 | 0 | 75 | 90 | -15 | 22 | 0.423 | 75 | 136 | 211 | 0 | 0 | 19 | 34 | 21 | 1 | 820 | 244 | 275 | 298 | 3 | 842 | 215 | 242 | 558 | 77 | 12 | 15.58% | 112 | 21 | 81.25% | 0 | 484 | 964 | 50.21% | 502 | 961 | 52.24% | 210 | 437 | 48.05% | 623 | 428 | 615 | 190 | 330 | 164 | 47.7% | 9.1% | 89.3% | 98.5 | FUN |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 23 |
Puck Time | |
---|---|
Offensive Zone Start | 964 |
Neutral Zone Start | 437 |
Defensive Zone Start | 961 |
Puck Time | |
---|---|
With Puck | 30 |
Without Puck | 30 |
Faceoffs | |
---|---|
Faceoffs Won | 1196 |
Faceoffs Lost | 1166 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.4 | 9.57 |
2nd Period | 20.0 | 20.31 |
3rd Period | 31.4 | 30.68 |
Overtime | 31.5 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.7 | 0.64 |
2nd Period | 2.0 | 1.65 |
3rd Period | 2.8 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 63 |
---|---|
PP Goal | 12 |
PK Goal | 0 |
Empty Net Goal | 0 |
Home | Away | |
---|---|---|
Win | 7 | 3 |
Lost | 4 | 10 |
Overtime Lost | 1 | 1 |
PP Attempt | 77 |
---|---|
PP Goal | 12 |
PK Attempt | 112 |
PK Goal Against | 21 |
Home | |
---|---|
Shots For | 31.5 |
Shots Against | 32.4 |
Goals For | 2.9 |
Goals Against | 3.5 |
Hits | 21.5 |
Shots Blocked | 8.3 |
Pim | 9.3 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Thu, Mar 20 | @ | COL4,HAR5 (OT) | RECAP | |||||||||||
Sun, Mar 23 | @ | HAR1,NSH7 | RECAP | |||||||||||
Tue, Mar 25 | @ | HAR2,SJS3 | RECAP | |||||||||||
Wed, Mar 26 | @ | HAR5,DAL6 | RECAP | |||||||||||
Fri, Mar 28 | @ | SEA3,HAR2 | RECAP | |||||||||||
Mon, Mar 31 | @ | HAR0,UTA6 | RECAP | |||||||||||
Wed, Apr 2 | @ | WSH3,HAR4 | RECAP | |||||||||||
Thu, Apr 3 | @ | HAR1,NSH5 | RECAP | |||||||||||
Sun, Apr 6 | @ | HAR3,CHI1 | RECAP | |||||||||||
Mon, Apr 7 | @ | STL3,HAR2 (OT) | RECAP | |||||||||||
Thu, Apr 10 | @ | EDM4,HAR5 | RECAP | |||||||||||
Sat, Apr 12 | @ | HAR1,BUF2 | RECAP | |||||||||||
Mon, Apr 14 | @ | LAK1,HAR4 | RECAP | |||||||||||
Thu, Apr 17 | @ | VAN4,HAR3 | RECAP | |||||||||||
Sat, Apr 19 | @ | HAR3,UTA6 | RECAP | |||||||||||
Tue, Apr 22 | @ | ANA3,HAR1 | RECAP | |||||||||||
Thu, Apr 24 | @ | HAR3,WPG2 | RECAP | |||||||||||
Sat, Apr 26 | @ | PHI4,HAR3 | RECAP | |||||||||||
Mon, Apr 28 | @ | HAR4,PHI1 | RECAP | |||||||||||
Thu, May 1 | @ | PIT2,HAR3 | RECAP | |||||||||||
Sat, May 3 | @ | HAR4,VAN7 | RECAP | |||||||||||
Mon, May 5 | @ | HAR2,BUF3 | RECAP | |||||||||||
Tue, May 6 | @ | STL3,HAR5 | RECAP | |||||||||||
Fri, May 9 | @ | HAR2,NSH3 | RECAP | |||||||||||
Sun, May 11 | @ | WPG2,HAR6 | RECAP | |||||||||||
Mon, May 12 | @ | HAR1,MTL2 (OT) | RECAP | |||||||||||
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Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
71,279,619$ | 8,525,000$ | 79,617,119$ | 3,882,881$ |
Arena | Goal Horn | About us | |
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![]() | Name | PNC Arena | |
City | Hartford | ||
Capacity | 18500 | ||
Season Ticket Holders | 40% |
Arena Capacity - Ticket Price Attendance - % | |||||
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Arena Capacity | 6000 | 5500 | 2000 | 4000 | 1000 |
Ticket Price | 100$ | 60$ | 45$ | 30$ | 200$ |
Attendance | 60252 | 55055 | 19714 | 38502 | 9735 |
Attendance PCT | 83.68% | 83.42% | 82.14% | 80.21% | 81.13% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
29 | 15272 - 82.55% | 1,653,613$ | 19,843,357$ | 18500 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
71,279,619$ | 71,279,619$ | 0$ | 8,525,000$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
20,822,120$ | 71,092,119$ | 20,767,560$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
47,954,779$ | 134 | 377,141$ | 50,536,894$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
52,061,368$ | 79,617,119$ | 23,526,942$ | 24,344,511$ |
Left Wing | Center | Right Wing | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Year | Round 1 | Round 2 | Round 3 |
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16 | ![]() ![]() | ![]() ![]() | |
17 | ![]() | ![]() | ![]() |
18 | ![]() | ![]() | ![]() |
19 | ![]() | ![]() | ![]() |
20 | ![]() | ![]() | ![]() |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Bradley Nadeau | 13 | 15 | |||
Hugo Ollas | 15 | 87 | |||
Ilya Fedotov | 10 | 14 | |||
Kevin Bicker | 14 | 90 | |||
Kirill Tankov | 9 | 76 | |||
Larry Keenan | 14 | 80 | |||
Makar Khanin | 15 | 55 | |||
Tyler Peddle | 14 | 53 |
Year | Ronde 1 | Ronde 2 | Ronde 3 |
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16 | ![]() ![]() | ![]() ![]() | |
17 | ![]() | ![]() | ![]() |
18 | ![]() | ![]() | ![]() |
19 | ![]() | ![]() | ![]() |
20 | ![]() | ![]() | ![]() |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
---|---|---|---|---|---|
Bradley Nadeau | 13 | 15 | |||
Hugo Ollas | 15 | 87 | |||
Ilya Fedotov | 10 | 14 | |||
Kevin Bicker | 14 | 90 | |||
Kirill Tankov | 9 | 76 | |||
Larry Keenan | 14 | 80 | |||
Makar Khanin | 15 | 55 | |||
Tyler Peddle | 14 | 53 |
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