Cunts | |
GP: 70 | W: 36 | L: 27 | OTL: 7 | P: 79 GF: 181 | GA: 190 | PP%: 15.87% | PK%: 80.26% DG: Jarvis Hall | Morale : 90 | Moyenne d’équipe : 79 Prochains matchs #780 vs Fucksticks |
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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 |
# | Nom du joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Artemi Panarin | X | 100.00 | 61 | 40 | 86 | 94 | 63 | 81 | 96 | 94 | 34 | 91 | 85 | 61 | 85 | 74 | 75 | 82 | 90 | 90 | 0 | 32 | 3 | 11,642,857$ | ||||
2 | Bo Horvat | X | 100.00 | 69 | 43 | 92 | 87 | 77 | 85 | 92 | 91 | 98 | 80 | 92 | 75 | 61 | 76 | 76 | 85 | 90 | 87 | 0 | 29 | 8 | 8,500,000$ | ||||
3 | Andre Burakovsky | X | X | 100.00 | 61 | 42 | 90 | 86 | 76 | 74 | 82 | 78 | 25 | 84 | 78 | 63 | 38 | 74 | 78 | 76 | 90 | 81 | 0 | 29 | 4 | 5,500,000$ | |||
4 | Brock Boeser | X | 100.00 | 69 | 43 | 89 | 84 | 75 | 76 | 90 | 83 | 38 | 83 | 75 | 61 | 57 | 70 | 70 | 76 | 90 | 81 | 0 | 27 | 2 | 6,650,000$ | ||||
5 | Gabriel Vilardi | X | X | 100.00 | 69 | 42 | 90 | 77 | 70 | 72 | 81 | 81 | 46 | 74 | 86 | 64 | 57 | 60 | 61 | 78 | 90 | 80 | 0 | 24 | 2 | 3,437,500$ | |||
6 | Blake Wheeler | X | 100.00 | 71 | 44 | 81 | 83 | 85 | 75 | 85 | 80 | 55 | 84 | 73 | 66 | 65 | 89 | 92 | 76 | 90 | 79 | 0 | 37 | 1 | 800,000$ | ||||
7 | Luke Glendening | X | X | 100.00 | 81 | 64 | 80 | 77 | 70 | 62 | 93 | 59 | 91 | 54 | 56 | 84 | 25 | 75 | 76 | 65 | 90 | 76 | 0 | 34 | 2 | 800,000$ | |||
8 | Keegan Kolesar | X | X | X | 100.00 | 99 | 96 | 74 | 75 | 82 | 61 | 93 | 61 | 35 | 62 | 60 | 69 | 25 | 63 | 64 | 67 | 90 | 75 | 0 | 27 | 2 | 1,400,000$ | ||
9 | Jonathan Drouin | X | X | 100.00 | 65 | 42 | 90 | 85 | 73 | 69 | 64 | 77 | 67 | 82 | 56 | 63 | 59 | 70 | 70 | 67 | 90 | 73 | 0 | 29 | 1 | 825,000$ | |||
10 | Andrew Peeke | X | 100.00 | 88 | 46 | 90 | 79 | 73 | 83 | 98 | 60 | 25 | 48 | 49 | 96 | 25 | 62 | 62 | 67 | 90 | 84 | 0 | 26 | 3 | 2,750,000$ | ||||
11 | Luke Schenn | X | 100.00 | 99 | 98 | 67 | 72 | 85 | 70 | 85 | 58 | 25 | 60 | 48 | 83 | 25 | 82 | 84 | 65 | 90 | 84 | 0 | 34 | 3 | 2,750,000$ | ||||
12 | Justin Holl | X | 100.00 | 84 | 56 | 85 | 74 | 80 | 81 | 92 | 60 | 25 | 54 | 48 | 93 | 25 | 66 | 67 | 66 | 90 | 83 | 0 | 32 | 3 | 3,400,000$ | ||||
13 | Tyler Myers | X | 100.00 | 77 | 59 | 73 | 81 | 89 | 81 | 97 | 58 | 25 | 55 | 47 | 87 | 53 | 81 | 81 | 65 | 92 | 81 | 0 | 34 | 1 | 6,000,000$ | ||||
14 | Jake McCabe | X | 100.00 | 86 | 59 | 79 | 83 | 74 | 78 | 93 | 63 | 25 | 63 | 48 | 86 | 25 | 71 | 71 | 67 | 90 | 80 | 0 | 30 | 2 | 4,000,000$ | ||||
15 | Dylan DeMelo | X | 100.00 | 81 | 44 | 81 | 80 | 70 | 79 | 92 | 59 | 25 | 62 | 49 | 87 | 25 | 71 | 72 | 66 | 90 | 78 | 0 | 30 | 1 | 3,000,000$ | ||||
16 | Sean Durzi | X | 100.00 | 73 | 57 | 80 | 82 | 69 | 79 | 92 | 77 | 25 | 68 | 54 | 81 | 25 | 59 | 60 | 69 | 91 | 76 | 0 | 25 | 2 | 1,700,000$ | ||||
17 | Travis Sanheim | X | 100.00 | 71 | 43 | 85 | 82 | 70 | 81 | 98 | 64 | 25 | 54 | 50 | 85 | 25 | 68 | 68 | 65 | 90 | 76 | 0 | 28 | 8 | 6,250,000$ | ||||
18 | Oliver Ekman-Larsson | X | 100.00 | 76 | 44 | 87 | 84 | 75 | 81 | 84 | 71 | 25 | 67 | 48 | 76 | 48 | 81 | 81 | 66 | 90 | 75 | 0 | 32 | 1 | 2,250,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Rod Tapper | X | X | 100.00 | 85 | 41 | 76 | 88 | 72 | 81 | 88 | 93 | 79 | 85 | 80 | 74 | 68 | 50 | 50 | 1 | 90 | 85 | 2 | 29 | 8 | 8,500,000$ | |||
2 | Alex Newhook | X | X | X | 100.00 | 69 | 42 | 91 | 84 | 68 | 67 | 99 | 68 | 63 | 65 | 70 | 64 | 25 | 60 | 61 | 70 | 90 | 70 | 0 | 23 | 4 | 2,900,000$ | ||
3 | Guillaume Brisebois | X | 100.00 | 67 | 42 | 89 | 68 | 67 | 70 | 60 | 57 | 25 | 50 | 48 | 88 | 25 | 55 | 55 | 61 | 91 | 73 | 0 | 26 | 2 | 775,000$ | ||||
Équipe Mineure | |||||||||||||||||||||||||||||
1 | Noah Cates (R) | X | 100.00 | 75 | 43 | 94 | 74 | 65 | 78 | 66 | 75 | 79 | 75 | 70 | 84 | 25 | 55 | 55 | 75 | 90 | 75 | 0 | 25 | 2 | 2,625,000$ | ||||
2 | Tyler Motte | X | X | 100.00 | 84 | 44 | 96 | 80 | 68 | 63 | 77 | 59 | 39 | 64 | 64 | 86 | 25 | 65 | 66 | 71 | 90 | 73 | 0 | 29 | 1 | 1,350,000$ | |||
3 | Nils Hoglander | X | X | 100.00 | 71 | 42 | 91 | 83 | 65 | 62 | 81 | 61 | 44 | 69 | 62 | 63 | 25 | 59 | 59 | 67 | 91 | 67 | 0 | 23 | 2 | 1,100,000$ | |||
4 | Tyler Madden (R) | X | 100.00 | 68 | 57 | 94 | 66 | 57 | 72 | 76 | 58 | 73 | 49 | 63 | 60 | 60 | 44 | 44 | 63 | 90 | 64 | 0 | 24 | 1 | 775,000$ | ||||
5 | Tucker Poolman | X | 100.00 | 81 | 73 | 81 | 78 | 73 | 45 | 47 | 53 | 59 | 45 | 45 | 76 | 37 | 60 | 61 | 51 | 90 | 71 | 0 | 30 | 2 | 2,500,000$ | ||||
6 | Libor Hajek | X | 100.00 | 76 | 44 | 91 | 76 | 75 | 62 | 54 | 53 | 25 | 39 | 48 | 71 | 25 | 57 | 57 | 58 | 90 | 69 | 0 | 26 | 2 | 800,000$ | ||||
7 | Victor Soderstrom | X | 100.00 | 67 | 42 | 77 | 78 | 67 | 69 | 78 | 67 | 25 | 64 | 47 | 72 | 25 | 48 | 48 | 63 | 90 | 68 | 0 | 23 | 1 | 894,167$ | ||||
8 | Jack Rathbone (R) | X | 100.00 | 67 | 42 | 93 | 71 | 69 | 64 | 64 | 66 | 25 | 48 | 50 | 68 | 25 | 45 | 45 | 60 | 90 | 66 | 0 | 24 | 2 | 850,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 76 | 52 | 84 | 81 | 74 | 76 | 88 | 71 | 42 | 68 | 62 | 76 | 41 | 69 | 70 | 67 | 90 | 79 |
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 |
# | Nom du gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Darcy Kuemper | 100.00 | 76 | 87 | 84 | 89 | 73 | 79 | 70 | 76 | 79 | 76 | 69 | 67 | 69 | 77 | 90 | 77 | 0 | 33 | 4 | 5,250,000$ | |
2 | Alex Nedeljkovic | 100.00 | 61 | 67 | 65 | 70 | 69 | 52 | 69 | 61 | 65 | 60 | 75 | 56 | 57 | 63 | 90 | 63 | 0 | 28 | 1 | 1,500,000$ | |
Rayé | |||||||||||||||||||||||
Équipe Mineure | |||||||||||||||||||||||
1 | Hugo Alnefelt (R) | 100.00 | 54 | 47 | 59 | 74 | 56 | 58 | 54 | 59 | 59 | 58 | 30 | 44 | 44 | 56 | 90 | 59 | 0 | 22 | 3 | 1,020,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 69 | 77 | 75 | 80 | 71 | 66 | 70 | 69 | 72 | 68 | 72 | 62 | 63 | 70 | 90 | 70 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
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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 |
# | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
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1 | Bo Horvat | Cunts | C | 70 | 31 | 39 | 70 | 24 | 23 | 5 | 82 | 183 | 304 | 96 | 193 | 10.20% | 19 | 1723 | 24.63 | 3 | 7 | 10 | 43 | 164 | 1 | 0 | 1 | 5 | 210 | 7 | 1 | 58.82% | 1554 | 5 | 7 | 0 | 0 | 0.81 | 4 | 5 | 0 | 0 | 1 | 7 | 5 | 5 |
2 | Artemi Panarin | Cunts | LW | 70 | 30 | 36 | 66 | 26 | 10 | 0 | 46 | 149 | 260 | 73 | 205 | 11.54% | 19 | 1727 | 24.68 | 6 | 9 | 15 | 31 | 163 | 0 | 0 | 0 | 4 | 212 | 6 | 2 | 30.99% | 955 | 11 | 10 | 2 | 1 | 0.76 | 0 | 5 | 0 | 0 | 0 | 4 | 6 | 5 |
3 | Rod Tapper | Cunts | C/RW | 63 | 17 | 33 | 50 | 18 | 46 | 0 | 158 | 85 | 193 | 58 | 157 | 8.81% | 19 | 1126 | 17.88 | 1 | 9 | 10 | 31 | 145 | 0 | 0 | 0 | 3 | 120 | 3 | 1 | 52.68% | 224 | 2 | 1 | 1 | 0 | 0.89 | 0 | 3 | 0 | 0 | 0 | 3 | 2 | 4 |
4 | Brock Boeser | Cunts | RW | 70 | 14 | 19 | 33 | -22 | 14 | 0 | 92 | 66 | 160 | 45 | 122 | 8.75% | 10 | 1243 | 17.76 | 2 | 5 | 7 | 21 | 157 | 0 | 0 | 0 | 1 | 15 | 5 | 2 | 33.85% | 65 | 4 | 4 | 0 | 0 | 0.53 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 2 |
5 | Blake Wheeler | Cunts | RW | 70 | 17 | 14 | 31 | 4 | 14 | 0 | 36 | 89 | 142 | 34 | 107 | 11.97% | 8 | 1091 | 15.60 | 0 | 1 | 1 | 3 | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 40.79% | 76 | 1 | 4 | 1 | 0 | 0.57 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 |
6 | Andrew Peeke | Cunts | D | 70 | 7 | 23 | 30 | 14 | 22 | 10 | 51 | 65 | 82 | 41 | 49 | 8.54% | 117 | 1426 | 20.38 | 4 | 4 | 8 | 35 | 169 | 0 | 0 | 0 | 0 | 200 | 3 | 0 | 0.00% | 1 | 1 | 10 | 1 | 0 | 0.42 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 3 |
7 | Gabriel Vilardi | Cunts | C/RW | 70 | 14 | 16 | 30 | -21 | 6 | 0 | 95 | 106 | 181 | 47 | 122 | 7.73% | 18 | 1242 | 17.75 | 3 | 5 | 8 | 31 | 156 | 0 | 0 | 0 | 0 | 8 | 2 | 1 | 35.12% | 1384 | 1 | 1 | 0 | 0 | 0.48 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 3 |
8 | Andre Burakovsky | Cunts | LW/RW | 70 | 13 | 16 | 29 | -25 | 16 | 0 | 48 | 84 | 176 | 34 | 117 | 7.39% | 13 | 1418 | 20.26 | 5 | 5 | 10 | 25 | 157 | 0 | 0 | 0 | 3 | 152 | 1 | 2 | 20.20% | 99 | 5 | 1 | 0 | 0 | 0.41 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 |
9 | Luke Schenn | Cunts | D | 70 | 6 | 22 | 28 | 14 | 112 | 20 | 220 | 43 | 48 | 21 | 27 | 12.50% | 92 | 1379 | 19.71 | 2 | 4 | 6 | 15 | 168 | 0 | 0 | 0 | 0 | 159 | 2 | 0 | 100.00% | 1 | 1 | 4 | 0 | 0 | 0.41 | 0 | 0 | 1 | 2 | 1 | 0 | 2 | 0 |
10 | Luke Glendening | Cunts | C/RW | 70 | 11 | 13 | 24 | 6 | 31 | 5 | 53 | 125 | 104 | 29 | 65 | 10.58% | 14 | 1068 | 15.27 | 0 | 1 | 1 | 0 | 8 | 0 | 0 | 0 | 0 | 2 | 2 | 1 | 54.17% | 1054 | 4 | 3 | 0 | 0 | 0.45 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 |
11 | Jake McCabe | Cunts | D | 70 | 2 | 19 | 21 | -6 | 53 | 15 | 105 | 51 | 55 | 16 | 38 | 3.64% | 78 | 1251 | 17.87 | 0 | 5 | 5 | 22 | 133 | 0 | 1 | 1 | 0 | 147 | 1 | 0 | 0.00% | 1 | 0 | 5 | 0 | 0 | 0.34 | 0 | 0 | 1 | 1 | 1 | 0 | 2 | 0 |
12 | Justin Holl | Cunts | D | 70 | 5 | 12 | 17 | -6 | 36 | 0 | 105 | 71 | 67 | 30 | 45 | 7.46% | 85 | 1307 | 18.67 | 3 | 2 | 5 | 28 | 150 | 0 | 0 | 0 | 1 | 166 | 1 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
13 | Dylan DeMelo | Cunts | D | 70 | 3 | 11 | 14 | -8 | 18 | 0 | 107 | 53 | 34 | 11 | 15 | 8.82% | 52 | 946 | 13.52 | 1 | 0 | 1 | 1 | 14 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 100.00% | 1 | 1 | 4 | 0 | 0 | 0.30 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
14 | Travis Sanheim | Cunts | D | 70 | 2 | 12 | 14 | -1 | 14 | 0 | 45 | 46 | 32 | 13 | 11 | 6.25% | 59 | 935 | 13.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62 | 0 | 0 | 0.00% | 0 | 1 | 5 | 0 | 0 | 0.30 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
15 | Keegan Kolesar | Cunts | C/LW/RW | 70 | 3 | 11 | 14 | 6 | 68 | 10 | 172 | 46 | 84 | 17 | 64 | 3.57% | 10 | 1102 | 15.75 | 0 | 1 | 1 | 0 | 14 | 0 | 1 | 1 | 1 | 38 | 0 | 1 | 31.25% | 112 | 1 | 2 | 0 | 0 | 0.25 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 |
16 | Jonathan Drouin | Cunts | LW/RW | 70 | 1 | 10 | 11 | 0 | 10 | 0 | 33 | 22 | 29 | 9 | 28 | 3.45% | 4 | 526 | 7.53 | 0 | 0 | 0 | 1 | 3 | 0 | 0 | 0 | 0 | 15 | 0 | 1 | 65.79% | 38 | 2 | 1 | 0 | 0 | 0.42 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
17 | Sean Durzi | Cunts | D | 70 | 2 | 7 | 9 | 4 | 18 | 0 | 42 | 41 | 25 | 7 | 12 | 8.00% | 25 | 587 | 8.39 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Oliver Ekman-Larsson | Cunts | D | 70 | 0 | 6 | 6 | 4 | 30 | 0 | 38 | 35 | 6 | 2 | 9 | 0.00% | 25 | 516 | 7.38 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 6 | 0 | 0 | 0.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
19 | Tyler Myers | Cunts | D | 7 | 0 | 1 | 1 | -5 | 0 | 0 | 12 | 7 | 1 | 2 | 5 | 0.00% | 12 | 133 | 19.07 | 0 | 0 | 0 | 1 | 15 | 0 | 0 | 0 | 0 | 21 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 1260 | 178 | 320 | 498 | 26 | 541 | 65 | 1540 | 1367 | 1983 | 585 | 1391 | 8.98% | 679 | 20756 | 16.47 | 30 | 58 | 88 | 289 | 1642 | 1 | 2 | 3 | 18 | 1556 | 33 | 16 | 45.28% | 5565 | 40 | 71 | 5 | 1 | 0.48 | 4 | 14 | 4 | 3 | 6 | 23 | 28 | 30 |
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 |
# | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Darcy Kuemper | Cunts | 70 | 36 | 27 | 7 | 0.920 | 2.62 | 4146 | 10 | 2 | 181 | 2259 | 183 | 1 | 0 | 0.813 | 16 | 70 | 0 | 10 | 7 | 3 |
2 | Alex Nedeljkovic | Cunts | 4 | 0 | 0 | 0 | 0.892 | 4.00 | 105 | 0 | 0 | 7 | 65 | 0 | 0 | 0 | 0.00% | 0 | 0 | 70 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 74 | 36 | 27 | 7 | 0.919 | 2.65 | 4251 | 10 | 2 | 188 | 2324 | 183 | 1 | 0 | 16 | 70 | 70 | 10 | 7 | 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 |
Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Nouveau joueur | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Contrat | Type | Salaire actuel | Salaire restant | Salaire moyen | Salaire moyen restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Nedeljkovic | Cunts | G | 28 | 1996-01-07 | No | 189 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 1,500,000$ | 245,902$ | 1,500,000$ | 245,902$ | 1,500,000$ | 245,902$ | No | Lien / Lien NHL | |||||||||
Alex Newhook | Cunts | C/LW/RW | 23 | 2001-01-28 | No | 192 Lbs | 5 ft10 | No | No | No | 4 | Pro & Farm | 2,900,000$ | 475,410$ | 2,900,000$ | 475,410$ | 2,900,000$ | 475,410$ | No | 2,900,000$ | 2,900,000$ | 2,900,000$ | Lien | ||||||
Andre Burakovsky | Cunts | LW/RW | 29 | 1995-02-08 | No | 201 Lbs | 6 ft3 | No | No | No | 4 | Pro & Farm | 5,500,000$ | 901,639$ | 5,500,000$ | 901,639$ | 5,500,000$ | 901,639$ | No | 5,500,000$ | 5,500,000$ | 5,500,000$ | Lien / Lien NHL | ||||||
Andrew Peeke | Cunts | D | 26 | 1998-03-16 | No | 194 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 2,750,000$ | 450,820$ | 2,750,000$ | 450,820$ | 2,750,000$ | 450,820$ | No | 2,750,000$ | 2,750,000$ | Lien | |||||||
Artemi Panarin | Cunts | LW | 32 | 1991-10-29 | No | 170 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 11,642,857$ | 1,908,665$ | 11,642,857$ | 1,908,665$ | 11,642,857$ | 1,908,665$ | No | 11,642,857$ | 11,642,857$ | Lien / Lien NHL | |||||||
Blake Wheeler | Cunts | RW | 37 | 1986-08-30 | No | 225 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 800,000$ | 131,148$ | 800,000$ | 131,148$ | 800,000$ | 131,148$ | No | Lien / Lien NHL | |||||||||
Bo Horvat | Cunts | C | 29 | 1995-04-04 | No | 215 Lbs | 6 ft0 | No | No | No | 8 | Pro & Farm | 8,500,000$ | 1,393,443$ | 8,500,000$ | 1,393,443$ | 8,500,000$ | 1,393,443$ | No | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | Lien / Lien NHL | ||
Brock Boeser | Cunts | RW | 27 | 1997-02-24 | No | 208 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 6,650,000$ | 1,090,164$ | 6,650,000$ | 1,090,164$ | 6,650,000$ | 1,090,164$ | No | 6,650,000$ | Lien / Lien NHL | ||||||||
Darcy Kuemper | Cunts | G | 33 | 1990-05-04 | No | 215 Lbs | 6 ft5 | No | No | No | 4 | Pro & Farm | 5,250,000$ | 860,656$ | 5,250,000$ | 860,656$ | 5,250,000$ | 860,656$ | No | 5,250,000$ | 5,250,000$ | 5,250,000$ | Lien / Lien NHL | ||||||
Dylan DeMelo | Cunts | D | 30 | 1993-05-01 | No | 191 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 3,000,000$ | 491,803$ | 3,000,000$ | 491,803$ | 3,000,000$ | 491,803$ | No | Lien / Lien NHL | |||||||||
Gabriel Vilardi | Cunts | C/RW | 24 | 1999-08-16 | No | 185 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 3,437,500$ | 563,525$ | 3,437,500$ | 563,525$ | 3,437,500$ | 563,525$ | No | 3,437,500$ | Lien / Lien NHL | ||||||||
Guillaume Brisebois | Cunts | D | 26 | 1997-07-21 | No | 175 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 775,000$ | 127,049$ | 775,000$ | 127,049$ | 775,000$ | 127,049$ | No | 775,000$ | Lien / Lien NHL | ||||||||
Jake McCabe | Cunts | D | 30 | 1993-10-12 | No | 204 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 4,000,000$ | 655,738$ | 4,000,000$ | 655,738$ | 4,000,000$ | 655,738$ | No | 4,000,000$ | Lien / Lien NHL | ||||||||
Jonathan Drouin | Cunts | LW/RW | 29 | 1995-03-28 | No | 203 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 825,000$ | 135,246$ | 825,000$ | 135,246$ | 825,000$ | 135,246$ | No | Lien / Lien NHL | |||||||||
Justin Holl | Cunts | D | 32 | 1992-01-30 | No | 210 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 3,400,000$ | 557,377$ | 3,400,000$ | 557,377$ | 3,400,000$ | 557,377$ | No | 3,400,000$ | 3,400,000$ | Lien / Lien NHL | |||||||
Keegan Kolesar | Cunts | C/LW/RW | 27 | 1997-04-08 | No | 216 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 1,400,000$ | 229,508$ | 1,400,000$ | 229,508$ | 1,400,000$ | 229,508$ | No | 1,400,000$ | Lien / Lien NHL | ||||||||
Luke Glendening | Cunts | C/RW | 34 | 1989-04-27 | No | 191 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 800,000$ | 131,148$ | 800,000$ | 131,148$ | 800,000$ | 131,148$ | No | 800,000$ | Lien / Lien NHL | ||||||||
Luke Schenn | Cunts | D | 34 | 1989-11-01 | No | 227 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 2,750,000$ | 450,820$ | 2,750,000$ | 450,820$ | 2,750,000$ | 450,820$ | No | 2,750,000$ | 2,750,000$ | Lien / Lien NHL | |||||||
Oliver Ekman-Larsson | Cunts | D | 32 | 1991-07-17 | No | 200 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 2,250,000$ | 368,852$ | 2,250,000$ | 368,852$ | 2,250,000$ | 368,852$ | No | Lien / Lien NHL | |||||||||
Rod Tapper | Cunts | C/RW | 29 | 1994-12-07 | No | 205 Lbs | 6 ft2 | No | No | No | 8 | Pro & Farm | 8,500,000$ | 1,393,443$ | 8,500,000$ | 1,393,443$ | 8,500,000$ | 1,393,443$ | No | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | 8,500,000$ | Lien / Lien NHL | ||
Sean Durzi | Cunts | D | 25 | 1998-10-21 | No | 188 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 1,700,000$ | 278,689$ | 1,700,000$ | 278,689$ | 1,700,000$ | 278,689$ | No | 1,700,000$ | Lien | ||||||||
Travis Sanheim | Cunts | D | 28 | 1996-03-28 | No | 181 Lbs | 6 ft3 | No | No | No | 8 | Pro & Farm | 6,250,000$ | 1,024,590$ | 6,250,000$ | 1,024,590$ | 6,250,000$ | 1,024,590$ | No | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | 6,250,000$ | Lien / Lien NHL | ||
Tyler Myers | Cunts | D | 34 | 1990-02-01 | No | 229 Lbs | 6 ft8 | No | No | No | 1 | Pro & Farm | 6,000,000$ | 983,607$ | 6,000,000$ | 983,607$ | 6,000,000$ | 983,607$ | No | Lien / Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
23 | 29.48 | 201 Lbs | 6 ft2 | 2.96 | 3,938,276$ |
Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
---|---|---|---|---|
90,580,357$ | 76,205,357$ | 57,442,857$ | 36,900,000$ | 23,250,000$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Artemi Panarin | Bo Horvat | Andre Burakovsky | 30 | 1 | 2 | 2 |
2 | Keegan Kolesar | Gabriel Vilardi | Brock Boeser | 28 | 1 | 2 | 2 |
3 | Jonathan Drouin | Luke Glendening | Blake Wheeler | 26 | 1 | 2 | 2 |
4 | Bo Horvat | Artemi Panarin | Andre Burakovsky | 16 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Luke Schenn | Andrew Peeke | 30 | 1 | 2 | 2 | |
2 | Justin Holl | Tyler Myers | 28 | 1 | 2 | 2 | |
3 | Jake McCabe | Dylan DeMelo | 26 | 1 | 2 | 2 | |
4 | Travis Sanheim | Sean Durzi | 16 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Artemi Panarin | Bo Horvat | Andre Burakovsky | 55 | 1 | 2 | 2 |
2 | Keegan Kolesar | Gabriel Vilardi | Brock Boeser | 45 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Luke Schenn | Andrew Peeke | 55 | 1 | 2 | 2 | |
2 | Justin Holl | Tyler Myers | 45 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Artemi Panarin | Bo Horvat | 55 | 1 | 2 | 2 |
2 | Andre Burakovsky | Brock Boeser | 45 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Luke Schenn | Andrew Peeke | 55 | 1 | 2 | 2 |
2 | Justin Holl | Tyler Myers | 45 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Artemi Panarin | 55 | 1 | 2 | 2 | Luke Schenn | Andrew Peeke | 55 | 1 | 2 | 2 |
2 | Bo Horvat | 45 | 1 | 2 | 2 | Justin Holl | Tyler Myers | 45 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Artemi Panarin | Bo Horvat | 55 | 1 | 2 | 2 |
2 | Andre Burakovsky | Brock Boeser | 45 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Luke Schenn | Andrew Peeke | 55 | 1 | 2 | 2 |
2 | Justin Holl | Tyler Myers | 45 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Artemi Panarin | Bo Horvat | Andre Burakovsky | Luke Schenn | Andrew Peeke |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Artemi Panarin | Bo Horvat | Andre Burakovsky | Luke Schenn | Andrew Peeke |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Blake Wheeler, Luke Glendening, Jonathan Drouin | Blake Wheeler, Luke Glendening | Jonathan Drouin |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Oliver Ekman-Larsson, Jake McCabe, Dylan DeMelo | Oliver Ekman-Larsson | Jake McCabe, Dylan DeMelo |
Tirs de pénalité |
---|
Artemi Panarin, Bo Horvat, Andre Burakovsky, Brock Boeser, Gabriel Vilardi |
Gardien |
---|
#1 : Darcy Kuemper, #2 : Alex Nedeljkovic |
Lignes d’attaque personnalisées en prolongation |
---|
Artemi Panarin, Bo Horvat, Andre Burakovsky, Brock Boeser, Gabriel Vilardi, Blake Wheeler, Blake Wheeler, Luke Glendening, Keegan Kolesar, Jonathan Drouin, |
Lignes de défense personnalisées en prolongation |
---|
Luke Schenn, Andrew Peeke, Justin Holl, Tyler Myers, Jake McCabe |
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 |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | 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 |
1 | Aces | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 4 | 1.000 | 9 | 17 | 26 | 0 | 0 | 3 | 5 | 1 | 0 | 60 | 21 | 16 | 23 | 0 | 51 | 20 | 10 | 46 | 7 | 2 | 28.57% | 5 | 1 | 80.00% | 1 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 45 | 31 | 48 | 15 | 26 | 12 |
2 | Apsos | 8 | 4 | 2 | 0 | 1 | 1 | 0 | 0 | 23 | 20 | 3 | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 11 | 12 | -1 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 11 | 0.688 | 23 | 40 | 63 | 0 | 0 | 5 | 9 | 8 | 1 | 224 | 68 | 74 | 77 | 5 | 252 | 86 | 71 | 160 | 20 | 3 | 15.00% | 31 | 4 | 87.10% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 179 | 118 | 198 | 61 | 108 | 53 |
3 | Bunnies | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 4 | 0.667 | 10 | 19 | 29 | 0 | 0 | 4 | 2 | 4 | 0 | 101 | 32 | 30 | 39 | 0 | 103 | 26 | 19 | 49 | 9 | 2 | 22.22% | 7 | 2 | 71.43% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 70 | 46 | 66 | 22 | 43 | 22 |
4 | Chiefs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 6 | 9 | 16 | 0 | 39 | 13 | 12 | 16 | 1 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 19 | 12 | 27 | 8 | 13 | 6 |
5 | Fletushkas | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 1 | 2 | 1 | 2 | 0 | 40 | 22 | 6 | 12 | 0 | 65 | 21 | 12 | 48 | 5 | 2 | 40.00% | 5 | 1 | 80.00% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 44 | 29 | 50 | 13 | 24 | 11 |
6 | Flyers | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 7 | 11 | 0 | 1 | 1 | 2 | 1 | 0 | 29 | 7 | 8 | 14 | 0 | 38 | 11 | 9 | 28 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 21 | 14 | 26 | 7 | 11 | 5 |
7 | Fucksticks | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 0 | 1 | 0 | 1 | 34 | 8 | 10 | 15 | 1 | 30 | 13 | 7 | 22 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 19 | 10 | 23 | 9 | 19 | 9 |
8 | Giants | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 2 | 1 | 1 | 48 | 15 | 19 | 12 | 2 | 102 | 22 | 17 | 70 | 6 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 41 | 26 | 55 | 14 | 23 | 11 |
9 | Gladiators | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 5 | 9 | 14 | 0 | 0 | 1 | 3 | 1 | 0 | 87 | 27 | 31 | 29 | 0 | 105 | 30 | 33 | 71 | 7 | 0 | 0.00% | 12 | 4 | 66.67% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 70 | 48 | 70 | 22 | 38 | 18 |
10 | Jets | 8 | 2 | 5 | 0 | 0 | 0 | 0 | 1 | 13 | 22 | -9 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 0 | 3 | 0 | 0 | 0 | 0 | 1 | 6 | 17 | -11 | 5 | 0.313 | 13 | 25 | 38 | 0 | 0 | 1 | 8 | 4 | 1 | 167 | 42 | 63 | 60 | 5 | 271 | 74 | 63 | 167 | 10 | 3 | 30.00% | 28 | 6 | 78.57% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 155 | 93 | 201 | 68 | 128 | 61 |
11 | Mariners | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 3 | 1 | 0 | 0 | 68 | 18 | 31 | 19 | 0 | 79 | 18 | 18 | 55 | 7 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 51 | 37 | 46 | 12 | 22 | 11 |
12 | Meltdown | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 11 | -10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | -7 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 65 | 26 | 22 | 17 | 0 | 68 | 11 | 24 | 52 | 4 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 43 | 30 | 50 | 14 | 26 | 12 |
13 | Mongoloids | 4 | 2 | 0 | 0 | 1 | 0 | 1 | 0 | 12 | 7 | 5 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 2 | 3 | 8 | 1.000 | 12 | 17 | 29 | 0 | 0 | 3 | 1 | 6 | 2 | 128 | 35 | 37 | 50 | 9 | 106 | 39 | 25 | 83 | 7 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 90 | 59 | 96 | 33 | 61 | 31 |
14 | Oilers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 4 | 2 | 1 | 0 | 56 | 11 | 22 | 23 | 0 | 86 | 21 | 12 | 41 | 6 | 2 | 33.33% | 6 | 1 | 83.33% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 45 | 33 | 51 | 13 | 23 | 11 |
15 | Phantoms | 8 | 2 | 3 | 0 | 1 | 1 | 1 | 0 | 22 | 25 | -3 | 4 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 11 | 9 | 2 | 4 | 0 | 3 | 0 | 1 | 0 | 0 | 0 | 11 | 16 | -5 | 9 | 0.563 | 22 | 40 | 62 | 0 | 0 | 3 | 11 | 6 | 2 | 213 | 63 | 83 | 62 | 7 | 224 | 75 | 64 | 124 | 25 | 3 | 12.00% | 32 | 4 | 87.50% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 189 | 129 | 192 | 58 | 110 | 54 |
16 | Riots | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 6 | 7 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 4 | 1 | 3 | 0.500 | 6 | 12 | 18 | 0 | 0 | 1 | 2 | 3 | 0 | 88 | 24 | 35 | 28 | 5 | 109 | 40 | 20 | 81 | 8 | 1 | 12.50% | 10 | 2 | 80.00% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 65 | 41 | 74 | 23 | 44 | 23 |
17 | Shitbirds | 7 | 2 | 3 | 0 | 1 | 1 | 0 | 0 | 16 | 20 | -4 | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 7 | 12 | -5 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 8 | 1 | 7 | 0.500 | 16 | 30 | 46 | 0 | 0 | 2 | 5 | 8 | 1 | 207 | 50 | 75 | 81 | 1 | 233 | 70 | 42 | 171 | 16 | 4 | 25.00% | 20 | 4 | 80.00% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 150 | 99 | 175 | 56 | 98 | 47 |
18 | Steamers | 6 | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 24 | 20 | 4 | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 14 | 8 | 6 | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 10 | 12 | -2 | 9 | 0.750 | 24 | 41 | 65 | 0 | 0 | 16 | 4 | 3 | 1 | 202 | 78 | 55 | 65 | 6 | 208 | 47 | 40 | 160 | 30 | 4 | 13.33% | 18 | 6 | 66.67% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 152 | 106 | 138 | 43 | 78 | 40 |
19 | Trash Pandas | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 1 | 1 | 1 | 0 | 54 | 16 | 29 | 9 | 0 | 64 | 19 | 28 | 37 | 12 | 1 | 8.33% | 8 | 2 | 75.00% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 45 | 31 | 50 | 15 | 23 | 11 |
20 | Warheads | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 3 | 5 | 8 | 0 | 0 | 0 | 3 | 0 | 0 | 32 | 9 | 12 | 7 | 4 | 47 | 8 | 13 | 15 | 2 | 2 | 100.00% | 4 | 1 | 75.00% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 25 | 16 | 24 | 7 | 14 | 6 |
21 | Wuhan Clan | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 2 | 0.500 | 7 | 12 | 19 | 0 | 0 | 3 | 3 | 1 | 0 | 49 | 19 | 15 | 15 | 0 | 44 | 15 | 12 | 44 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 48 | 32 | 45 | 14 | 26 | 13 |
Total | 70 | 27 | 27 | 0 | 6 | 5 | 3 | 2 | 181 | 190 | -9 | 35 | 14 | 12 | 0 | 3 | 4 | 2 | 0 | 93 | 86 | 7 | 35 | 13 | 15 | 0 | 3 | 1 | 1 | 2 | 88 | 104 | -16 | 79 | 0.564 | 181 | 320 | 501 | 0 | 2 | 54 | 67 | 51 | 10 | 1983 | 597 | 682 | 673 | 45 | 2324 | 679 | 551 | 1540 | 189 | 30 | 15.87% | 233 | 46 | 80.26% | 1 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 1574 | 1048 | 1715 | 537 | 967 | 476 | |
_Since Last GM Reset | 70 | 27 | 27 | 0 | 6 | 5 | 3 | 2 | 181 | 190 | -9 | 35 | 14 | 12 | 0 | 3 | 4 | 2 | 0 | 93 | 86 | 7 | 35 | 13 | 15 | 0 | 3 | 1 | 1 | 2 | 88 | 104 | -16 | 79 | 0.564 | 181 | 320 | 501 | 0 | 2 | 54 | 67 | 51 | 10 | 1983 | 597 | 682 | 673 | 45 | 2324 | 679 | 551 | 1540 | 189 | 30 | 15.87% | 233 | 46 | 80.26% | 1 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 1574 | 1048 | 1715 | 537 | 967 | 476 | |
_Vs Conference | 48 | 18 | 19 | 0 | 4 | 4 | 2 | 1 | 127 | 136 | -9 | 25 | 10 | 8 | 0 | 2 | 3 | 2 | 0 | 66 | 59 | 7 | 23 | 8 | 11 | 0 | 2 | 1 | 0 | 1 | 61 | 77 | -16 | 53 | 0.552 | 127 | 230 | 357 | 0 | 0 | 36 | 49 | 36 | 7 | 1349 | 405 | 466 | 460 | 25 | 1541 | 460 | 377 | 1007 | 138 | 22 | 15.94% | 162 | 33 | 79.63% | 1 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 1078 | 715 | 1166 | 374 | 674 | 332 | |
_Vs Division | 31 | 10 | 13 | 0 | 3 | 3 | 1 | 1 | 74 | 87 | -13 | 16 | 6 | 5 | 0 | 1 | 3 | 1 | 0 | 36 | 38 | -2 | 15 | 4 | 8 | 0 | 2 | 0 | 0 | 1 | 38 | 49 | -11 | 32 | 0.516 | 74 | 135 | 209 | 0 | 0 | 11 | 33 | 26 | 5 | 811 | 223 | 295 | 280 | 18 | 980 | 305 | 240 | 622 | 71 | 13 | 18.31% | 111 | 18 | 83.78% | 0 | 965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% | 675 | 441 | 768 | 245 | 445 | 216 |
Total pour les joueurs | ||||||||||||
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Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
70 | 79 | L1 | 181 | 320 | 501 | 1983 | 2324 | 679 | 551 | 1540 | 0 | 2 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
70 | 27 | 27 | 6 | 5 | 3 | 2 | 181 | 190 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
35 | 14 | 12 | 3 | 4 | 2 | 0 | 93 | 86 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
35 | 13 | 15 | 3 | 1 | 1 | 2 | 88 | 104 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
3 | 5 | 1 | 1 | 0 | 0 |
Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
---|---|---|---|---|---|---|
189 | 30 | 15.87% | 233 | 46 | 80.26% | 1 |
Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
---|---|---|---|---|---|---|---|
597 | 682 | 673 | 45 | 54 | 67 | 51 | 10 |
Mises en jeu | ||||||||
---|---|---|---|---|---|---|---|---|
Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
965 | 2109 | 45.76% | 1085 | 2388 | 45.44% | 470 | 1007 | 46.67% |
Temps avec la rondelle | |||||
---|---|---|---|---|---|
En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
1574 | 1048 | 1715 | 537 | 967 | 476 |
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 |
Capacité de l’aréna - Tendance du prix des billets - % | |||||
---|---|---|---|---|---|
Niveau 1 | Niveau 2 | Niveau 3 | Niveau 4 | Luxe | |
Capacité | 6000 | 5000 | 2000 | 4000 | 1000 |
Prix des billets | 100 | 60 | 35 | 25 | 200 |
Assistance | 162,326 | 132,941 | 54,767 | 107,639 | 34,087 |
Attendance PCT | 77.30% | 75.97% | 78.24% | 76.89% | 97.39% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
6 | 14050 - 78.06% | 1,425,371$ | 49,887,992$ | 18000 | 100 |
Dépenses | ||||
---|---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
75,731,175$ | 90,580,357$ | 90,580,357$ | 0$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Taxe de luxe totale | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|---|
90,580,357$ | 75,731,175$ | 0$ | 23 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
8,552,227$ | 30 | 494,975$ | 14,849,250$ |
Total de l’équipe estimé | ||
---|---|---|
Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
15,044,550$ | 190,351,471$ | 183,859,148$ |
Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
---|---|---|---|
91,771,774$ | 30,228,226$ | 122,000,000$ | 2,271,774$ |
Ailier gauche | Centre | Ailier droit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Défense #1 | Défense #2 | Gardien | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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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 |
Espoir | Nom de l’équipe | Année de repêchage | Choix total | Information | Lien |
---|---|---|---|---|---|
Brady Cleveland | Cunts | ||||
Brock Faber | Cunts | ||||
Daimon Gardner | Cunts | ||||
Emil Pieniniemi | Cunts | ||||
Filip Nordberg | Cunts | ||||
Frank Nazar | Cunts | ||||
Gavin Hayes | Cunts | ||||
Jackson Kunz | Cunts | ||||
Jay O'Brien | Cunts | ||||
Jesse Kiiskinen | Cunts | ||||
John Farinacci | Cunts | ||||
Joni Jurmo | Cunts | ||||
Olof Glifford | Cunts | ||||
Philiip Nyberg | Cunts | ||||
Tristan Broz | Cunts | ||||
Vilmer Alriksson | Cunts | ||||
Zach Nehring | Cunts |
Année | R1 | R2 | R3 | R4 | R5 | R6 |
---|---|---|---|---|---|---|
2024 | CUN | CUN | CUN | CUN | CUN | |
2025 | CUN | CUN | CUN | CUN | CUN | CUN |
2026 | CUN | CUN | CUN | CUN | CUN | CUN |
2027 | CUN | CUN | CUN | CUN | CUN | CUN |
2028 | CUN | CUN | CUN | CUN | CUN | CUN |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | 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 |
Saison régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Total Saison régulière | 214 | 87 | 86 | 0 | 16 | 12 | 5 | 8 | 603 | 641 | -38 | 107 | 49 | 36 | 0 | 9 | 7 | 4 | 2 | 324 | 288 | 36 | 107 | 38 | 50 | 0 | 7 | 5 | 1 | 6 | 279 | 353 | -74 | 236 | 603 | 1065 | 1668 | 6 | 4 | 205 | 204 | 173 | 26 | 6501 | 2129 | 2195 | 2097 | 120 | 6961 | 2082 | 1591 | 4378 | 564 | 95 | 16.84% | 649 | 127 | 80.43% | 5 | 3408 | 6812 | 50.03% | 3378 | 7120 | 47.44% | 1646 | 3288 | 50.06% | 4969 | 3409 | 5170 | 1585 | 2844 | 1409 |
Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Total Séries éliminatoires | 24 | 10 | 14 | 0 | 0 | 0 | 0 | 0 | 76 | 66 | 10 | 10 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 28 | 24 | 4 | 14 | 6 | 8 | 0 | 0 | 0 | 0 | 0 | 48 | 42 | 6 | 20 | 76 | 138 | 214 | 2 | 2 | 20 | 28 | 28 | 0 | 778 | 260 | 238 | 260 | 20 | 868 | 220 | 158 | 430 | 44 | 4 | 9.09% | 68 | 12 | 82.35% | 2 | 460 | 878 | 52.39% | 478 | 866 | 55.20% | 218 | 396 | 55.05% | 575 | 402 | 610 | 173 | 314 | 156 |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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