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Full Scoreboard »» |
Columbus Blue Jackets 15-14-5, 35pts · 13th 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 | ![]() | C/W | 100% | 6' 1" | 195 | 25 | Nov 22, 1998 | $4,000,000/1yrs | 91 | 84 | 61 | 99 | 74 | 88 | 89 | 91 | 75 | 87 | 86 | 81 | 54 | 74 | 74 | 69 | 56 | 80 | |
0 | ![]() | LW | 100% | 6' 3" | 202 | 25 | Jul 22, 1999 | $7,750,000/4yrs | 69 | 43 | 91 | 91 | 72 | 79 | 95 | 93 | 25 | 91 | 95 | 69 | 85 | 68 | 68 | 75 | 51 | 79 | |
0 | ![]() | C/RW | 98% | 6' 1" | 190 | 27 | May 26, 1997 | $5,500,000/2yrs | 58 | 28 | 88 | 91 | 73 | 83 | 90 | 85 | 83 | 98 | 78 | 65 | 72 | 92 | 91 | 64 | 51 | 78 | |
0 | ![]() | C/LW | 100% | 6' 0" | 197 | 22 | Jan 15, 2002 | $925,000/6yrs | 80 | 44 | 80 | 86 | 70 | 86 | 96 | 96 | 64 | 88 | 93 | 73 | 70 | 58 | 58 | 80 | 52 | 78 | |
0 | ![]() | C | 98% | 5' 11" | 175 | 23 | May 14, 2001 | $8,000,000/4yrs | 55 | 40 | 99 | 89 | 65 | 83 | 78 | 91 | 68 | 87 | 95 | 72 | 75 | 62 | 62 | 76 | 52 | 77 | |
0 | ![]() | LW/RW | 100% | 6' 0" | 195 | 25 | Jun 01, 1999 | $3,750,000/6yrs | 52 | 49 | 88 | 89 | 73 | 73 | 87 | 87 | 61 | 79 | 89 | 83 | 80 | 61 | 61 | 76 | 52 | 76 | |
0 | ![]() | C/RW | 100% | 6' 1" | 196 | 26 | May 08, 1998 | $8,125,000/4yrs | 55 | 41 | 93 | 85 | 75 | 78 | 90 | 87 | 36 | 88 | 86 | 70 | 45 | 73 | 73 | 70 | 52 | 76 | |
0 | ![]() | C/RW | 100% | 6' 1" | 198 | 27 | Jan 29, 1997 | $700,000/2yrs | 91 | 84 | 57 | 84 | 76 | 75 | 78 | 78 | 81 | 69 | 66 | 77 | 70 | 93 | 91 | 59 | 52 | 73 | |
0 | ![]() | LW/RW | 100% | 6' 3" | 208 | 27 | Oct 31, 1996 | $700,000/1yrs | 55 | 32 | 92 | 84 | 82 | 76 | 76 | 82 | 25 | 73 | 69 | 74 | 70 | 98 | 95 | 58 | 50 | 73 | |
23 | ![]() | C/RW | 100% | 6' 1" | 192 | 27 | Oct 31, 1996 | $700,000/1yrs | 57 | 25 | 90 | 80 | 73 | 78 | 79 | 84 | 77 | 75 | 72 | 75 | 64 | 90 | 88 | 64 | 50 | 73 | |
0 | ![]() | C/LW | 100% | 6' 3" | 212 | 25 | Aug 27, 1998 | $1,000,000/1yrs | 96 | 90 | 56 | 93 | 83 | 74 | 89 | 79 | 73 | 66 | 66 | 79 | 43 | 75 | 75 | 68 | 52 | 73 | |
0 | ![]() | RW | 100% | 5' 7" | 174 | 23 | Jan 02, 2001 | $7,850,000/4yrs | 59 | 40 | 95 | 87 | 61 | 74 | 79 | 86 | 44 | 80 | 88 | 71 | 75 | 61 | 61 | 77 | 55 | 73 | |
76 | ![]() | D | 100% | 6' 3" | 210 | 30 | Mar 26, 1994 | $6,250,000/4yrs | 94 | 79 | 60 | 86 | 82 | 85 | 81 | 89 | 25 | 88 | 66 | 74 | 64 | 95 | 93 | 50 | 53 | 78 | |
0 | ![]() | D | 100% | 5' 11" | 185 | 26 | Feb 17, 1998 | $9,500,000/2yrs | 60 | 41 | 94 | 87 | 69 | 92 | 93 | 95 | 25 | 83 | 58 | 84 | 25 | 75 | 75 | 64 | 52 | 77 | |
0 | ![]() | D | 100% | 6' 3" | 212 | 34 | Feb 23, 1990 | $700,000/1yrs | 78 | 40 | 78 | 83 | 83 | 82 | 78 | 78 | 25 | 60 | 54 | 77 | 62 | 99 | 99 | 19 | 48 | 75 | |
0 | ![]() | D | 100% | 6' 3" | 220 | 28 | Nov 21, 1995 | $1,870,000/5yrs | 78 | 51 | 88 | 78 | 86 | 78 | 92 | 70 | 25 | 54 | 49 | 87 | 25 | 83 | 83 | 58 | 52 | 74 | |
0 | ![]() | D | 100% | 6' 1" | 181 | 27 | May 21, 1997 | $4,400,000/4yrs | 74 | 56 | 88 | 82 | 69 | 82 | 92 | 76 | 25 | 64 | 47 | 86 | 25 | 77 | 78 | 60 | 49 | 74 | |
0 | ![]() | D | 100% | 5' 10" | 180 | 24 | Oct 14, 1999 | $1,500,000/1yrs | 54 | 40 | 93 | 99 | 66 | 84 | 70 | 96 | 25 | 88 | 71 | 63 | 25 | 68 | 68 | 64 | 53 | 73 | |
Scratches | |||||||||||||||||||||||||||
0 | ![]() | RW | 100% | 6' 4" | 214 | 29 | Jul 01, 1995 | $700,000/1yrs | 55 | 28 | 95 | 84 | 85 | 73 | 78 | 83 | 25 | 68 | 68 | 80 | 66 | 91 | 95 | 62 | 19 | 73 | |
0 | ![]() | D | 100% | 6' 2" | 212 | 36 | Dec 16, 1987 | $700,000/1yrs | 81 | 71 | 64 | 68 | 82 | 65 | 72 | 82 | 25 | 78 | 75 | 77 | 59 | 99 | 99 | 5 | 18 | 73 |
# | 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 | 98% | 6' 2" | 196 | 25 | Aug 13, 1998 | $2,250,000/3yrs | 79 | 75 | 86 | 76 | 80 | 95 | 94 | 94 | 94 | 75 | 74 | 97 | 95 | 58 | 54 | 85 | |
0 | ![]() | G | 100% | 6' 1" | 178 | 28 | Feb 10, 1996 | $3,650,000/6yrs | 76 | 76 | 82 | 68 | 75 | 93 | 92 | 91 | 92 | 77 | 76 | 92 | 91 | 49 | 60 | 82 | |
Scratches |
General Manager | Stephan Villeneuve |
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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 | Tim Stutzle | 0 | C/LW | 34 | 16 | 15 | 31 | -3 | 6 | 0 | 31 | 104 | 30 | 117 | 15.38% | 3 | 17.84 | 4 | 4 | 8 | 119 | 0 | 0 | 0 | 0 | 3 | 1 | 34.04% | 47 | 0 | 0 | 0 | 0 | 1.02 | 2 | 3 | |
2 | Jason Robertson | 0 | LW | 34 | 12 | 14 | 26 | 8 | 6 | 0 | 46 | 99 | 34 | 82 | 12.12% | 2 | 17.95 | 2 | 2 | 4 | 113 | 0 | 0 | 0 | 18 | 1 | 1 | 31.91% | 47 | 0 | 0 | 0 | 1 | 0.85 | 1 | 3 | |
3 | Casey Mittelstadt | 0 | C/LW/RW | 34 | 5 | 18 | 23 | -2 | 24 | 10 | 117 | 110 | 26 | 91 | 4.55% | 15 | 19.97 | 1 | 3 | 4 | 117 | 0 | 0 | 0 | 87 | 1 | 0 | 49.84% | 963 | 0 | 0 | 0 | 0 | 0.68 | 2 | 3 | |
4 | Emil Bemstrom | 0 | LW/RW | 34 | 10 | 11 | 21 | 8 | 4 | 0 | 12 | 103 | 18 | 46 | 9.71% | 10 | 14.07 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 2 | 0 | 1 | 51.52% | 33 | 0 | 0 | 0 | 0 | 0.88 | 1 | 1 | |
5 | Mathew Barzal | 0 | C/RW | 34 | 7 | 14 | 21 | 6 | 2 | 0 | 29 | 56 | 21 | 44 | 12.50% | 3 | 19.91 | 2 | 6 | 8 | 115 | 0 | 0 | 0 | 76 | 3 | 1 | 54.23% | 815 | 0 | 0 | 0 | 0 | 0.62 | 1 | 3 | |
6 | Jack Hughes | 0 | C | 34 | 7 | 11 | 18 | 1 | 0 | 0 | 1 | 87 | 31 | 55 | 8.05% | 6 | 20.23 | 4 | 1 | 5 | 118 | 0 | 0 | 0 | 95 | 1 | 0 | 39.13% | 46 | 0 | 0 | 0 | 0 | 0.52 | 1 | 1 | |
7 | Brady Skjei | 76 | D | 34 | 4 | 10 | 14 | -5 | 59 | 5 | 130 | 42 | 19 | 24 | 9.52% | 47 | 23.06 | 2 | 3 | 5 | 115 | 0 | 0 | 0 | 78 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.36 | 0 | 0 | |
8 | Jack Roslovic | 0 | C/RW | 34 | 4 | 9 | 13 | -2 | 28 | 0 | 75 | 39 | 11 | 40 | 10.26% | 6 | 12.03 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 7 | 0 | 0 | 51.79% | 504 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | |
9 | Adam Fox | 0 | D | 34 | 1 | 12 | 13 | -5 | 0 | 0 | 1 | 54 | 13 | 35 | 1.85% | 63 | 24.15 | 0 | 5 | 5 | 121 | 0 | 0 | 0 | 115 | 0 | 1 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
10 | Quinn Hughes | 0 | D | 28 | 0 | 13 | 13 | 1 | 2 | 0 | 10 | 16 | 3 | 6 | 0.00% | 25 | 14.24 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | |
11 | Jordan Kyrou | 0 | C/RW | 34 | 7 | 5 | 12 | -3 | 0 | 0 | 1 | 85 | 33 | 52 | 8.24% | 7 | 18.34 | 1 | 0 | 1 | 118 | 0 | 0 | 0 | 99 | 1 | 0 | 33.20% | 247 | 0 | 0 | 0 | 0 | 0.38 | 0 | 3 | |
12 | John Marino | 0 | D | 34 | 2 | 9 | 11 | -1 | 31 | 5 | 36 | 42 | 8 | 23 | 4.76% | 49 | 21.79 | 1 | 3 | 4 | 117 | 0 | 0 | 0 | 71 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
13 | Vladislav Gavrikov | 0 | D | 34 | 2 | 8 | 10 | -1 | 28 | 0 | 74 | 34 | 10 | 20 | 5.88% | 62 | 19.94 | 0 | 2 | 2 | 113 | 0 | 0 | 0 | 87 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.29 | 0 | 0 | |
14 | Evgeny Svechnikov | 0 | LW/RW | 30 | 2 | 7 | 9 | -2 | 0 | 0 | 0 | 34 | 6 | 27 | 5.88% | 3 | 9.41 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 12 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | |
15 | Marco Scandella | 0 | D | 34 | 3 | 6 | 9 | -2 | 45 | 5 | 68 | 18 | 5 | 11 | 16.67% | 38 | 17.64 | 0 | 1 | 1 | 5 | 0 | 0 | 0 | 30 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | |
16 | Jakob Forsbacka Karlsson | 23 | C/RW | 29 | 2 | 3 | 5 | -4 | 0 | 0 | 0 | 27 | 8 | 22 | 7.41% | 1 | 10.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 65.52% | 29 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | |
17 | Cole Caufield | 0 | RW | 31 | 3 | 2 | 5 | -10 | 0 | 0 | 0 | 25 | 11 | 24 | 12.00% | 0 | 7.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 39.51% | 243 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | |
18 | Cameron Morrison | 0 | C/LW | 34 | 3 | 0 | 3 | -10 | 10 | 0 | 51 | 32 | 11 | 17 | 9.38% | 1 | 8.06 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 73.33% | 15 | 0 | 0 | 0 | 0 | 0.22 | 0 | 0 | |
19 | Mike Weber | 0 | D | 6 | 1 | 0 | 1 | 0 | 2 | 0 | 15 | 1 | 1 | 2 | 100.00% | 4 | 14.20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.23 | 0 | 0 | |
20 | Justin Bailey | 0 | RW | 12 | 0 | 0 | 0 | -6 | 0 | 0 | 0 | 8 | 3 | 9 | 0.00% | 0 | 7.87 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 25.00% | 28 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | |
Team Total or Average | 612 | 91 | 167 | 258 | -32 | 247 | 25 | 697 | 1016 | 302 | 747 | 8.96% | 345 | 16.48 | 17 | 30 | 47 | 1187 | 0 | 0 | 0 | 777 | 13 | 6 | 48.43% | 3029 | 0 | 0 | 0 | 1 | 0.51 | 8 | 17 |
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 | Carter Hart | 34 | 34 | 15 | 14 | 5 | 0.918 | 2.77 | 3.1 | 2034 | 4 | 2 | 94 | 1142 | 0 | 3 | 2 | 0.588 | 17 | 34 | 0 | 3 | 1 | 3 | |
2 | Alexander Georgiev | 1 | 0 | 0 | 0 | 0 | 0.920 | 4.00 | 0.1 | 30 | 0 | 0 | 2 | 25 | 0 | 0 | 0 | 0.000 | 0 | 0 | 34 | 0 | 0 | 0 | |
Team Total or Average | 35 | 34 | 15 | 14 | 5 | 0.918 | 2.79 | 2064 | 4 | 2 | 96 | 1167 | 0 | 3 | 2 | 0.588 | 17 | 34 | 34 | 3 | 1 | 3 |
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 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.167 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 92 | 21 | 28 | 40 | 3 | 97 | 28 | 16 | 45 | 21 | 1 | 4.76% | 8 | 0 | 100.00% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 79 | 57 | 68 | 23 | 37 | 18 | 33.3% | 5.4% | 91.8% | 97.2 | DULL | |
2 | 5 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 19 | 18 | 1 | 7 | 0.700 | 19 | 32 | 51 | 0 | 0 | 5 | 8 | 4 | 5 | 152 | 52 | 50 | 43 | 18 | 199 | 53 | 45 | 117 | 9 | 2 | 22.22% | 19 | 3 | 84.21% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 109 | 76 | 140 | 37 | 61 | 28 | 53.1% | 12.5% | 91.0% | 103.5 | FUN | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 25 | 7 | 6 | 12 | 0 | 36 | 3 | 10 | 18 | 4 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 18 | 12 | 28 | 8 | 12 | 6 | 50.0% | 8.0% | 88.9% | 96.9 | Unlucky | |
4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 4 | 0.667 | 9 | 18 | 27 | 0 | 0 | 0 | 6 | 3 | 0 | 85 | 15 | 33 | 37 | 0 | 85 | 22 | 10 | 55 | 15 | 3 | 20.00% | 5 | 1 | 80.00% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 69 | 50 | 74 | 21 | 35 | 17 | 42.9% | 10.6% | 89.4% | 100.0 | FUN | |
5 | 5 | 3 | 0 | 0 | 1 | 1 | 0 | 0 | 18 | 10 | 8 | 9 | 0.900 | 18 | 32 | 50 | 0 | 1 | 5 | 6 | 6 | 1 | 142 | 52 | 45 | 43 | 2 | 184 | 60 | 62 | 98 | 16 | 4 | 25.00% | 22 | 4 | 81.82% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 111 | 77 | 128 | 35 | 63 | 31 | 70.0% | 12.7% | 94.6% | 107.2 | LUCKY | |
6 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 6 | 0.750 | 12 | 21 | 33 | 1 | 1 | 4 | 4 | 4 | 0 | 118 | 28 | 31 | 59 | 0 | 124 | 42 | 31 | 96 | 13 | 1 | 7.69% | 13 | 2 | 84.62% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 92 | 64 | 97 | 28 | 49 | 24 | 68.8% | 10.2% | 94.4% | 104.5 | LUCKY | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 1 | 0 | 2 | 0 | 38 | 11 | 17 | 10 | 0 | 33 | 9 | 6 | 18 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 27 | 19 | 21 | 7 | 11 | 5 | 42.9% | 7.9% | 84.8% | 92.7 | Unlucky | |
8 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 8 | 0 | 3 | 0.500 | 8 | 15 | 23 | 0 | 0 | 4 | 3 | 1 | 0 | 117 | 48 | 34 | 35 | 0 | 93 | 36 | 8 | 58 | 19 | 4 | 21.05% | 4 | 1 | 75.00% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 76 | 55 | 70 | 21 | 36 | 18 | 36.4% | 6.8% | 91.4% | 98.2 | DULL | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 28 | 11 | 8 | 9 | 0 | 47 | 6 | 8 | 25 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 22 | 16 | 25 | 6 | 12 | 5 | 25.0% | 3.6% | 93.6% | 97.2 | DULL | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 25 | 11 | 8 | 6 | 0 | 32 | 5 | 2 | 17 | 5 | 1 | 20.00% | 1 | 1 | 0.00% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 25 | 17 | 23 | 6 | 11 | 5 | 0.0% | 4.0% | 87.5% | 91.5 | Unlucky | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 31 | 12 | 5 | 14 | 0 | 41 | 15 | 6 | 26 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 21 | 14 | 25 | 7 | 12 | 6 | 37.5% | 9.7% | 85.4% | 95.0 | FUN | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 19 | 9 | 6 | 4 | 0 | 33 | 15 | 12 | 11 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 21 | 14 | 26 | 7 | 12 | 5 | 40.0% | 10.5% | 90.9% | 101.4 | FUN | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 6 | 9 | 7 | 0 | 39 | 16 | 10 | 17 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 21 | 13 | 25 | 6 | 12 | 6 | 0.0% | 0.0% | 92.3% | 92.3 | DULL | |
14 | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 14 | 22 | 0 | 0 | 2 | 3 | 1 | 5 | 99 | 25 | 39 | 33 | 8 | 89 | 21 | 17 | 72 | 11 | 1 | 9.09% | 6 | 1 | 83.33% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 72 | 51 | 75 | 21 | 36 | 17 | 50.0% | 8.1% | 91.0% | 99.1 | Unlucky | |
15 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 23 | 6 | 9 | 7 | 1 | 37 | 14 | 8 | 24 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 18 | 12 | 29 | 8 | 13 | 6 | 40.0% | 8.7% | 91.9% | 100.6 | DULL | |
_Vs Division | 26 | 10 | 7 | 0 | 3 | 3 | 2 | 1 | 79 | 68 | 11 | 34 | 0.654 | 79 | 142 | 221 | 1 | 2 | 22 | 32 | 20 | 11 | 805 | 241 | 260 | 290 | 31 | 871 | 262 | 189 | 541 | 104 | 16 | 15.38% | 77 | 12 | 84.42% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 611 | 433 | 655 | 188 | 321 | 156 | 52.9% | 9.8% | 92.2% | 102.0 | LUCKY | |
_Vs Conference | 30 | 10 | 11 | 0 | 3 | 3 | 2 | 1 | 88 | 87 | 1 | 34 | 0.567 | 88 | 158 | 246 | 2 | 2 | 26 | 33 | 24 | 11 | 924 | 282 | 296 | 332 | 31 | 1013 | 294 | 213 | 620 | 123 | 17 | 13.82% | 89 | 17 | 80.90% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 704 | 498 | 754 | 218 | 369 | 180 | 50.4% | 9.5% | 91.4% | 100.9 | LUCKY | |
_Since Last GM Reset | 34 | 10 | 14 | 0 | 3 | 4 | 2 | 1 | 93 | 99 | -6 | 35 | 0.515 | 93 | 167 | 260 | 2 | 2 | 28 | 34 | 26 | 11 | 1016 | 314 | 328 | 359 | 32 | 1169 | 345 | 251 | 697 | 133 | 17 | 12.78% | 107 | 17 | 84.11% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 788 | 554 | 861 | 246 | 419 | 205 | 48.1% | 9.2% | 91.5% | 100.7 | LUCKY | |
Total | 34 | 10 | 14 | 0 | 3 | 4 | 2 | 1 | 93 | 99 | -6 | 35 | 0.515 | 93 | 167 | 260 | 2 | 2 | 28 | 34 | 26 | 11 | 1016 | 314 | 328 | 359 | 32 | 1169 | 345 | 251 | 697 | 133 | 17 | 12.78% | 107 | 17 | 84.11% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 788 | 554 | 861 | 246 | 419 | 205 | 48.1% | 9.2% | 91.5% | 100.7 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 1160 |
Neutral Zone Start | 517 |
Defensive Zone Start | 1300 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1467 |
Faceoffs Lost | 1510 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.2 | 9.57 |
2nd Period | 18.9 | 20.31 |
3rd Period | 29.4 | 30.68 |
Overtime | 30.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 74 |
---|---|
PP Goal | 17 |
PK Goal | 0 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 7 | 8 |
Lost | 9 | 5 |
Overtime Lost | 1 | 4 |
PP Attempt | 133 |
---|---|
PP Goal | 17 |
PK Attempt | 107 |
PK Goal Against | 17 |
Home | |
---|---|
Shots For | 29.9 |
Shots Against | 34.4 |
Goals For | 2.7 |
Goals Against | 2.9 |
Hits | 20.5 |
Shots Blocked | 10.1 |
Pim | 7.4 |
![]() | |
Projected Total Cap Hit | $80,520,000 |
Projected Cap Space | $980,000 |
Retains And Buyout Cap Hit | $0 |
Players In Salary Cap | 22 |
Contracts | 48/55 |
LTIR Players | 0 |
Prospect Count | 19 |
Blue Jackets Roster | Pos | Age | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 |
---|---|---|---|---|---|---|---|---|---|---|
Adam Fox | D | 26 | $9,500,000 | $9,500,000 | ||||||
Alexander Georgiev | G | 28 | $3,650,000 | $3,650,000 | $3,650,000 | $3,650,000 | $3,650,000 | $3,650,000 | ||
Brady Skjei | D | 30 | $6,250,000 | $6,250,000 | $6,250,000 | $6,250,000 | ||||
Cameron Morrison | C/LW | 25 | $1,000,000 | |||||||
Carter Hart | G | 25 | $2,250,000 | $2,250,000 | $2,250,000 | |||||
Casey Mittelstadt | C/LW/RW | 25 | $4,000,000 | |||||||
Cole Caufield | RW | 23 | $7,850,000 | $7,850,000 | $7,850,000 | $7,850,000 | ||||
Emil Bemstrom | LW/RW | 25 | $3,750,000 | $3,750,000 | $3,750,000 | $3,750,000 | $3,750,000 | $3,750,000 | ||
Evgeny Svechnikov | LW/RW | 27 | $700,000 | |||||||
Jack Hughes | C | 23 | $8,000,000 | $8,000,000 | $8,000,000 | $8,000,000 | ||||
Jack Roslovic | C/RW | 27 | $700,000 | $700,000 | ||||||
Jakob Forsbacka Karlsson | C/RW | 27 | $700,000 | |||||||
Jason Robertson | LW | 25 | $7,750,000 | $7,750,000 | $7,750,000 | $7,750,000 | ||||
John Marino | D | 27 | $4,400,000 | $4,400,000 | $4,400,000 | $4,400,000 | ||||
Jordan Kyrou | C/RW | 26 | $8,125,000 | $8,125,000 | $8,125,000 | $8,125,000 | ||||
Justin Bailey | RW | 29 | $700,000 | |||||||
Marco Scandella | D | 34 | $700,000 | |||||||
Mathew Barzal | C/RW | 27 | $5,500,000 | $5,500,000 | ||||||
Mike Weber | D | 36 | $700,000 | |||||||
Quinn Hughes | D | 24 | $1,500,000 | |||||||
Tim Stutzle | C/LW | 22 | $925,000 | $8,350,000 | $8,350,000 | $8,350,000 | $8,350,000 | $8,350,000 | ||
Vladislav Gavrikov | D | 28 | $1,870,000 | $1,870,000 | $1,870,000 | $1,870,000 | $1,870,000 |
Blue Jackets Roster | Pos | Age | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 |
---|---|---|---|---|---|---|---|---|---|---|
Albin Grewe | LW/RW | 23 | $850,000 | $850,000 | $850,000 | $850,000 | ||||
Andrew Ladd | LW | 38 | $700,000 | |||||||
Austin Watson | C/RW | 32 | $700,000 | |||||||
Ben King | C | 22 | $925,000 | $925,000 | ||||||
Brendan Lemieux | LW/RW | 28 | $700,000 | $700,000 | $700,000 | |||||
Cal Petersen | G | 29 | $750,000 | $750,000 | $750,000 | $750,000 | $750,000 | |||
Devin Setoguchi | RW | 37 | $700,000 | |||||||
Drew Stafford | LW/RW | 38 | $700,000 | |||||||
Dylan Samberg | D | 25 | $925,000 | $1,400,000 | $1,400,000 | |||||
Erik Condra | LW/RW | 37 | $700,000 | |||||||
Ethan Del Mastro | D | 21 | $925,000 | |||||||
Givani Smith | LW/RW | 26 | $700,000 | |||||||
Jacob Bryson | D | 26 | $2,999,999 | $2,999,999 | ||||||
Jeremy Brodeur | G | 27 | $700,000 | |||||||
Joe Cannata | G | 34 | $700,000 | |||||||
Jujhar Khaira | C/LW | 29 | $700,000 | |||||||
Kris Versteeg | LW/RW | 38 | $700,000 | |||||||
Logan Mailloux | D | 21 | $900,000 | $900,000 | $900,000 | $900,000 | $900,000 | $900,000 | ||
MacKenzie Skapski | G | 30 | $700,000 | |||||||
Martin Kaut | RW | 24 | $925,000 | $925,000 | ||||||
Matty Beniers | C | 25 | $897,500 | $897,500 | ||||||
Nicolas Kerdiles | LW | 30 | $700,000 | |||||||
Nolan Collins | D | 20 | $925,000 | $925,000 | ||||||
Riley Stillman | D | 26 | $2,999,999 | $2,999,999 | $2,999,999 | $2,999,999 | ||||
Tim Erixon | D | 33 | $700,000 | |||||||
Vladimir Sobotka | C/LW | 37 | $700,000 |
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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 | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 5 | 8 | -3 | 1 | 0.167 | 5 | 10 | 15 | 0 | 0 | 2 | 2 | 1 | 0 | 92 | 21 | 28 | 40 | 3 | 97 | 28 | 16 | 45 | 21 | 1 | 4.76% | 8 | 0 | 100.00% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 79 | 57 | 68 | 23 | 37 | 18 | 33.3% | 5.4% | 91.8% | 97.2 | DULL | |
2 | 5 | 1 | 1 | 0 | 1 | 0 | 1 | 1 | 19 | 18 | 1 | 7 | 0.700 | 19 | 32 | 51 | 0 | 0 | 5 | 8 | 4 | 5 | 152 | 52 | 50 | 43 | 18 | 199 | 53 | 45 | 117 | 9 | 2 | 22.22% | 19 | 3 | 84.21% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 109 | 76 | 140 | 37 | 61 | 28 | 53.1% | 12.5% | 91.0% | 103.5 | FUN | |
3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 0 | 25 | 7 | 6 | 12 | 0 | 36 | 3 | 10 | 18 | 4 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 18 | 12 | 28 | 8 | 12 | 6 | 50.0% | 8.0% | 88.9% | 96.9 | Unlucky | |
4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 4 | 0.667 | 9 | 18 | 27 | 0 | 0 | 0 | 6 | 3 | 0 | 85 | 15 | 33 | 37 | 0 | 85 | 22 | 10 | 55 | 15 | 3 | 20.00% | 5 | 1 | 80.00% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 69 | 50 | 74 | 21 | 35 | 17 | 42.9% | 10.6% | 89.4% | 100.0 | FUN | |
5 | 5 | 3 | 0 | 0 | 1 | 1 | 0 | 0 | 18 | 10 | 8 | 9 | 0.900 | 18 | 32 | 50 | 0 | 1 | 5 | 6 | 6 | 1 | 142 | 52 | 45 | 43 | 2 | 184 | 60 | 62 | 98 | 16 | 4 | 25.00% | 22 | 4 | 81.82% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 111 | 77 | 128 | 35 | 63 | 31 | 70.0% | 12.7% | 94.6% | 107.2 | LUCKY | |
6 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 6 | 0.750 | 12 | 21 | 33 | 1 | 1 | 4 | 4 | 4 | 0 | 118 | 28 | 31 | 59 | 0 | 124 | 42 | 31 | 96 | 13 | 1 | 7.69% | 13 | 2 | 84.62% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 92 | 64 | 97 | 28 | 49 | 24 | 68.8% | 10.2% | 94.4% | 104.5 | LUCKY | |
7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 1 | 0 | 1 | 0 | 2 | 0 | 38 | 11 | 17 | 10 | 0 | 33 | 9 | 6 | 18 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 27 | 19 | 21 | 7 | 11 | 5 | 42.9% | 7.9% | 84.8% | 92.7 | Unlucky | |
8 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 8 | 8 | 0 | 3 | 0.500 | 8 | 15 | 23 | 0 | 0 | 4 | 3 | 1 | 0 | 117 | 48 | 34 | 35 | 0 | 93 | 36 | 8 | 58 | 19 | 4 | 21.05% | 4 | 1 | 75.00% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 76 | 55 | 70 | 21 | 36 | 18 | 36.4% | 6.8% | 91.4% | 98.2 | DULL | |
9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 28 | 11 | 8 | 9 | 0 | 47 | 6 | 8 | 25 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 22 | 16 | 25 | 6 | 12 | 5 | 25.0% | 3.6% | 93.6% | 97.2 | DULL | |
10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 25 | 11 | 8 | 6 | 0 | 32 | 5 | 2 | 17 | 5 | 1 | 20.00% | 1 | 1 | 0.00% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 25 | 17 | 23 | 6 | 11 | 5 | 0.0% | 4.0% | 87.5% | 91.5 | Unlucky | |
11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 2 | 0 | 1 | 0 | 31 | 12 | 5 | 14 | 0 | 41 | 15 | 6 | 26 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 21 | 14 | 25 | 7 | 12 | 6 | 37.5% | 9.7% | 85.4% | 95.0 | FUN | |
12 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 0 | 1 | 0 | 19 | 9 | 6 | 4 | 0 | 33 | 15 | 12 | 11 | 2 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 21 | 14 | 26 | 7 | 12 | 5 | 40.0% | 10.5% | 90.9% | 101.4 | FUN | |
13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 6 | 9 | 7 | 0 | 39 | 16 | 10 | 17 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 21 | 13 | 25 | 6 | 12 | 6 | 0.0% | 0.0% | 92.3% | 92.3 | DULL | |
14 | 3 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 8 | 8 | 0 | 4 | 0.667 | 8 | 14 | 22 | 0 | 0 | 2 | 3 | 1 | 5 | 99 | 25 | 39 | 33 | 8 | 89 | 21 | 17 | 72 | 11 | 1 | 9.09% | 6 | 1 | 83.33% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 72 | 51 | 75 | 21 | 36 | 17 | 50.0% | 8.1% | 91.0% | 99.1 | Unlucky | |
15 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 23 | 6 | 9 | 7 | 1 | 37 | 14 | 8 | 24 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 18 | 12 | 29 | 8 | 13 | 6 | 40.0% | 8.7% | 91.9% | 100.6 | DULL | |
_Vs Division | 26 | 10 | 7 | 0 | 3 | 3 | 2 | 1 | 79 | 68 | 11 | 34 | 0.654 | 79 | 142 | 221 | 1 | 2 | 22 | 32 | 20 | 11 | 805 | 241 | 260 | 290 | 31 | 871 | 262 | 189 | 541 | 104 | 16 | 15.38% | 77 | 12 | 84.42% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 611 | 433 | 655 | 188 | 321 | 156 | 52.9% | 9.8% | 92.2% | 102.0 | LUCKY | |
_Vs Conference | 30 | 10 | 11 | 0 | 3 | 3 | 2 | 1 | 88 | 87 | 1 | 34 | 0.567 | 88 | 158 | 246 | 2 | 2 | 26 | 33 | 24 | 11 | 924 | 282 | 296 | 332 | 31 | 1013 | 294 | 213 | 620 | 123 | 17 | 13.82% | 89 | 17 | 80.90% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 704 | 498 | 754 | 218 | 369 | 180 | 50.4% | 9.5% | 91.4% | 100.9 | LUCKY | |
_Since Last GM Reset | 34 | 10 | 14 | 0 | 3 | 4 | 2 | 1 | 93 | 99 | -6 | 35 | 0.515 | 93 | 167 | 260 | 2 | 2 | 28 | 34 | 26 | 11 | 1016 | 314 | 328 | 359 | 32 | 1169 | 345 | 251 | 697 | 133 | 17 | 12.78% | 107 | 17 | 84.11% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 788 | 554 | 861 | 246 | 419 | 205 | 48.1% | 9.2% | 91.5% | 100.7 | LUCKY | |
Total | 34 | 10 | 14 | 0 | 3 | 4 | 2 | 1 | 93 | 99 | -6 | 35 | 0.515 | 93 | 167 | 260 | 2 | 2 | 28 | 34 | 26 | 11 | 1016 | 314 | 328 | 359 | 32 | 1169 | 345 | 251 | 697 | 133 | 17 | 12.78% | 107 | 17 | 84.11% | 0 | 605 | 1160 | 52.16% | 616 | 1300 | 47.38% | 246 | 517 | 47.58% | 788 | 554 | 861 | 246 | 419 | 205 | 48.1% | 9.2% | 91.5% | 100.7 | LUCKY |
Puck Time | |
---|---|
Offensive Zone | 23 |
Neutral Zone | 12 |
Defensive Zone | 25 |
Puck Time | |
---|---|
Offensive Zone Start | 1160 |
Neutral Zone Start | 517 |
Defensive Zone Start | 1300 |
Puck Time | |
---|---|
With Puck | 29 |
Without Puck | 31 |
Faceoffs | |
---|---|
Faceoffs Won | 1467 |
Faceoffs Lost | 1510 |
Team Average Shots after | League Average Shots after | |
---|---|---|
1st Period | 9.2 | 9.57 |
2nd Period | 18.9 | 20.31 |
3rd Period | 29.4 | 30.68 |
Overtime | 30.4 | 31.4 |
Goals in | Team Average Goals after | League Average Goals after |
---|---|---|
1st Period | 0.8 | 0.64 |
2nd Period | 1.8 | 1.65 |
3rd Period | 2.6 | 2.67 |
Overtime | 2.9 | 2.83 |
Even Strenght Goal | 74 |
---|---|
PP Goal | 17 |
PK Goal | 0 |
Empty Net Goal | 2 |
Home | Away | |
---|---|---|
Win | 7 | 8 |
Lost | 9 | 5 |
Overtime Lost | 1 | 4 |
PP Attempt | 133 |
---|---|
PP Goal | 17 |
PK Attempt | 107 |
PK Goal Against | 17 |
Home | |
---|---|
Shots For | 29.9 |
Shots Against | 34.4 |
Goals For | 2.7 |
Goals Against | 2.9 |
Hits | 20.5 |
Shots Blocked | 10.1 |
Pim | 7.4 |
Date | Matchup | Result | Detail | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Mon, Jun 24 | @ | WSH2,CBJ4 | RECAP | |||||||||||
Tue, Jun 25 | @ | CBJ2,NYI1 | RECAP | |||||||||||
Fri, Jun 28 | @ | CBJ2,SEA3 (OT) | RECAP | |||||||||||
Sat, Jun 29 | @ | NJD4,CBJ5 (SO) | RECAP | |||||||||||
Mon, Jul 1 | @ | PIT3,CBJ1 | RECAP | |||||||||||
Thu, Jul 4 | @ | CBJ4,PIT3 (SO) | RECAP | |||||||||||
Fri, Jul 5 | @ | CBJ5,NJD4 (OT) | RECAP | |||||||||||
Mon, Jul 8 | @ | WSH3,CBJ2 | RECAP | |||||||||||
Tue, Jul 9 | @ | CBJ4,NYI6 | RECAP | |||||||||||
Fri, Jul 12 | @ | NYR0,CBJ3 | RECAP | |||||||||||
Sat, Jul 13 | @ | CBJ4,HAR1 | RECAP | |||||||||||
Mon, Jul 15 | @ | PHI3,CBJ2 (OT) | RECAP | |||||||||||
Thu, Jul 18 | @ | HAR0,CBJ3 | RECAP | |||||||||||
Fri, Jul 19 | @ | CBJ3,NYR1 | RECAP | |||||||||||
Sat, Jul 20 | @ | CBJ2,WSH3 (OT) | RECAP | |||||||||||
Tue, Jul 23 | @ | HAR3,CBJ4 (OT) | RECAP | |||||||||||
Wed, Jul 24 | @ | CBJ1,PHI2 | RECAP | |||||||||||
Sat, Jul 27 | @ | NYR3,CBJ1 | RECAP | |||||||||||
Mon, Jul 29 | @ | WPG3,CBJ2 | RECAP | |||||||||||
Tue, Jul 30 | @ | CBJ5,NYR3 | RECAP | |||||||||||
Fri, Aug 2 | @ | NSH3,CBJ1 | RECAP | |||||||||||
Sun, Aug 4 | @ | CBJ3,MTL5 | RECAP | |||||||||||
Tue, Aug 6 | @ | CBJ1,BOS4 | RECAP | |||||||||||
Wed, Aug 7 | @ | QUE6,CBJ3 | RECAP | |||||||||||
Sat, Aug 10 | @ | DAL3,CBJ0 | RECAP | |||||||||||
Sun, Aug 11 | @ | CBJ5,HAR3 | RECAP | |||||||||||
Tue, Aug 13 | @ | CBJ4,NJD3 | RECAP | |||||||||||
Fri, Aug 16 | @ | NJD2,CBJ1 | RECAP | |||||||||||
Sun, Aug 18 | @ | PHI3,CBJ2 | RECAP | |||||||||||
Mon, Aug 19 | @ | CBJ2,HAR3 (OT) | RECAP | |||||||||||
Wed, Aug 21 | @ | CBJ4,NJD5 (SO) | RECAP | |||||||||||
Fri, Aug 23 | @ | PIT2,CBJ3 (OT) | RECAP | |||||||||||
Sun, Aug 25 | @ | NYI2,CBJ3 | RECAP | |||||||||||
Tue, Aug 27 | @ | CBJ2,OTT4 | RECAP | |||||||||||
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Salary Cap | |||
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Players Total Salaries | Retained Salary | Total Cap Hit | Estimated Cap Space |
80,520,000$ | 0$ | 80,520,000$ | 980,000$ |
Arena | Goal Horn | About us | |
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![]() | Name | Nationwide Arena | |
City | Columbus | ||
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 | 83619 | 78439 | 26989 | 56462 | 14057 |
Attendance PCT | 81.98% | 83.89% | 79.38% | 83.03% | 82.69% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
24 | 15269 - 82.53% | 1,646,713$ | 27,994,127$ | 18500 | 100 |
Expenses | |||
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Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
80,520,000$ | 48,920,000$ | 0$ | 0$ |
Year To Date Expenses | Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total |
---|---|---|---|
33,253,640$ | 80,520,000$ | 33,253,640$ | 0$ |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
39,521,120$ | 95 | 497,037$ | 47,218,515$ |
Team Total Estimate | |||
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Estimated Season Expenses | Estimated Season Salary Cap | Current Bank Account | Projected Bank Account |
48,656,530$ | 80,520,000$ | 21,211,845$ | 16,124,470$ |
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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14 | ![]() | ![]() | |
15 | ![]() | ![]() | ![]() |
16 | ![]() | ![]() | ![]() |
17 | ![]() | ![]() | ![]() |
18 | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Aleksanteri Kaskimaki | 12 | 48 | |||
Carson Rehkopf | 13 | 9 | |||
Daniel Zhilkin | 12 | 40 | |||
Daniil Orlov | 11 | 91 | |||
Dennis Hildeby | 11 | 72 | |||
Filip Nordberg | 11 | 56 | |||
Haakon Hanelt | 10 | 94 | |||
Isaiah Saville | 2022 | 82 | |||
Jake Wise | 4 | 30 | |||
Jakub Vondras | 12 | 80 | |||
Jasper Wallstedt | 9 | 13 | |||
Matty Beniers | 9 | 1 | |||
Nikita Okhotyuk | 2022 | 61 | |||
Oskar Pettersson | 11 | 53 | |||
Scott Morrow | 9 | 45 | |||
Shakir Mukhamadullin | 2023 | 21 | |||
Tim Stutzle | 8 | 2 | |||
Tyler Kleven | 2023 | 40 | |||
William Villeneuve | 2023 | 71 |
Year | Ronde 1 | Ronde 2 | Ronde 3 |
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14 | ![]() | ![]() | |
15 | ![]() | ![]() | ![]() |
16 | ![]() | ![]() | ![]() |
17 | ![]() | ![]() | ![]() |
18 | ![]() | ![]() | ![]() |
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 |
---|---|---|---|---|---|
Aleksanteri Kaskimaki | 12 | 48 | |||
Carson Rehkopf | 13 | 9 | |||
Daniel Zhilkin | 12 | 40 | |||
Daniil Orlov | 11 | 91 | |||
Dennis Hildeby | 11 | 72 | |||
Filip Nordberg | 11 | 56 | |||
Haakon Hanelt | 10 | 94 | |||
Isaiah Saville | 2022 | 82 | |||
Jake Wise | 4 | 30 | |||
Jakub Vondras | 12 | 80 | |||
Jasper Wallstedt | 9 | 13 | |||
Matty Beniers | 9 | 1 | |||
Nikita Okhotyuk | 2022 | 61 | |||
Oskar Pettersson | 11 | 53 | |||
Scott Morrow | 9 | 45 | |||
Shakir Mukhamadullin | 2023 | 21 | |||
Tim Stutzle | 8 | 2 | |||
Tyler Kleven | 2023 | 40 | |||
William Villeneuve | 2023 | 71 |
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