Day : 25 |
BUF - 2 |
WSH - 5 |
EDM - 4 |
SEA - 2 |
TOR - 5 |
QUE - 6 |
DET - 2 |
STL - 1 |
MIN - 4 |
NYR - 3 |
PHI - 3 |
CAR - 4 |
BOS - 3 |
CLB - 1 |
DAL - 5 |
WPG - 3 |
VEG - 5 |
ANH - 1 |
MTL - 4 |
FLA - 2 |
LAV - 1 |
QUE - 2 |
SJS - 2 |
PAR - 8 |
NOR - 0 |
GAT - 2 |
LKE - 3 |
POR - 2 |
VER - 3 |
NUU - 4 |
ALB - 1 |
ROB - 2 |
CHP - 1 |
BNG - 3 |
BRI - 2 |
CHA - 6 |
MAN - 5 |
TRL - 4 |
CTW - 2 |
BBA - 3 |
RCH - 6 |
SPR - 5 |
SAR - 2 |
HAM - 7 |
Day : 26 |
(3-10-0) - L2 |
(2-10-1) - L1 |
(8-3-0) - L1 |
(5-4-1) - W2 |
(7-3-0) - W1 |
(10-0-0) - W10 |
(5-7-0) - W2 |
(7-1-2) - SOL1 |
(4-8-1) - L1 |
(2-6-3) - W1 |
(4-7-1) - L2 |
(7-4-0) - W4 |
(5-5-1) - W1 |
(6-4-1) - L3 |
(7-4-0) - L2 |
(7-4-0) - W3 |
(7-4-2) - W4 |
(5-6-1) - L1 |
(10-2-1) - W1 |
(4-8-0) - W1 |
(6-4-1) - W3 |
(6-6-0) - W1 |
(4-6-0) - L2 |
(4-4-1) - L2 |
(3-9-0) - L3 |
(3-4-2) - OTL1 |
(6-5-1) - W2 |
(6-6-1) - W2 |
(4-6-2) - W1 |
(4-7-0) - L1 |
(6-5-0) - L1 |
(6-2-1) - W6 |
(4-5-1) - W1 |
(4-8-3) - L1 |
(6-3-1) - OTL1 |
(6-4-1) - L1 |
(3-8-0) - W1 |
(3-7-2) - W1 |
(8-3-0) - W1 |
(8-2-0) - L1 |
Danbury Trashers | |
GP: 11 | W: 6 | L: 4 | OTL: 1 | P: 13 GF: 44 | GA: 43 | PP%: 21.43% | PK%: 75.68% DG: Mathieu Veilleux | Morale : 50 | Moyenne d’équipe : N/A Prochains matchs #189 vs Chicoutimi Saguenéens |
|
|
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 moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Taro Hirose | X | 100.00 | 65 | 30 | 94 | 87 | 71 | 80 | 75 | 80 | 68 | 76 | 73 | 65 | 74 | 80 | 80 | 6 | 50 | 0 | N | 0 | 28 | 3 | 975,000$ | |||
2 | Mike Winther | X | 100.00 | 72 | 35 | 89 | 87 | 72 | 80 | 74 | 76 | 78 | 72 | 70 | 65 | 77 | 81 | 81 | 1 | 50 | 0 | 0 | 30 | 2 | 775,000$ | ||||
3 | Mikael Backlund | X | X | 100.00 | 61 | 35 | 94 | 78 | 79 | 83 | 81 | 77 | 78 | 72 | 71 | 71 | 76 | 99 | 99 | 1 | 50 | 0 | 0 | 35 | 1 | 750,000$ | |||
4 | Tyler Johnson | X | X | X | 100.00 | 47 | 25 | 99 | 79 | 69 | 79 | 78 | 80 | 76 | 75 | 74 | 65 | 81 | 99 | 99 | 1 | 50 | 0 | 0 | 34 | 2 | 900,000$ | ||
5 | Reid Boucher | X | X | 100.00 | 77 | 35 | 91 | 83 | 77 | 78 | 78 | 78 | 64 | 73 | 72 | 69 | 78 | 94 | 93 | 1 | 50 | 0 | 0 | 31 | 2 | 775,000$ | |||
6 | Sebastian Collberg | X | X | 100.00 | 75 | 30 | 85 | 82 | 72 | 81 | 77 | 81 | 62 | 74 | 73 | 66 | 80 | 82 | 82 | 1 | 50 | 0 | N | 0 | 30 | 2 | 800,000$ | ||
7 | Michael Joly | X | 100.00 | 77 | 33 | 89 | 85 | 79 | 86 | 80 | 81 | 65 | 74 | 74 | 69 | 75 | 86 | 86 | 1 | 50 | 0 | N | 0 | 29 | 3 | 900,000$ | |||
8 | Matt Puempel | X | X | 100.00 | 81 | 40 | 87 | 82 | 80 | 81 | 81 | 81 | 70 | 74 | 74 | 67 | 75 | 83 | 84 | 1 | 50 | 0 | N | 0 | 31 | 3 | 800,000$ | ||
9 | Alex Iafallo | X | X | 100.00 | 67 | 30 | 97 | 81 | 76 | 79 | 77 | 78 | 74 | 73 | 73 | 71 | 70 | 87 | 85 | 1 | 50 | 0 | N | 0 | 31 | 3 | 800,000$ | ||
10 | Radovan Bondra | X | X | 100.00 | 87 | 48 | 75 | 74 | 85 | 74 | 69 | 74 | 64 | 69 | 68 | 67 | 66 | 69 | 67 | 3 | 50 | 0 | 0 | 27 | 2 | 800,000$ | |||
11 | Keegan Kolesar | X | 100.00 | 89 | 46 | 78 | 75 | 91 | 78 | 81 | 78 | 65 | 70 | 72 | 65 | 71 | 73 | 73 | 4 | 50 | 0 | 0 | 27 | 2 | 800,000$ | ||||
12 | Jason Demers | X | 100.00 | 71 | 35 | 91 | 75 | 77 | 81 | 79 | 78 | 50 | 73 | 63 | 84 | 72 | 99 | 99 | 1 | 50 | 0 | N | 0 | 36 | 2 | 775,000$ | |||
13 | Joel Edmundson | X | 100.00 | 95 | 45 | 71 | 72 | 90 | 81 | 78 | 76 | 50 | 72 | 65 | 94 | 62 | 89 | 88 | 1 | 50 | 0 | 0 | 31 | 1 | 900,000$ | ||||
14 | Jordan Gross | X | 100.00 | 75 | 40 | 90 | 78 | 77 | 81 | 74 | 78 | 50 | 71 | 66 | 83 | 65 | 70 | 67 | 70 | 50 | 0 | 0 | 29 | 2 | 775,000$ | ||||
15 | Daniel Brickley | X | 100.00 | 93 | 43 | 73 | 75 | 87 | 80 | 76 | 76 | 50 | 74 | 70 | 86 | 62 | 73 | 75 | 5 | 50 | 0 | 0 | 29 | 1 | 1,500,000$ | ||||
16 | Joey Laleggia | X | 98.00 | 73 | 35 | 82 | 81 | 75 | 81 | 76 | 82 | 53 | 77 | 74 | 85 | 68 | 87 | 88 | 1 | 50 | 0 | N | 0 | 32 | 2 | 1,250,000$ | |||
17 | Markus Niemelainen | X | 100.00 | 84 | 46 | 78 | 76 | 85 | 79 | 76 | 77 | 50 | 72 | 64 | 87 | 58 | 72 | 70 | 5 | 50 | 0 | 0 | 26 | 1 | 1,400,000$ | ||||
18 | Chris Martenet | X | 100.00 | 95 | 46 | 73 | 72 | 92 | 76 | 73 | 71 | 50 | 69 | 64 | 86 | 58 | 74 | 72 | 4 | 50 | 0 | 0 | 28 | 1 | 900,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Alexander Barabanov | X | 91.81 | 63 | 28 | 99 | 84 | 77 | 82 | 82 | 78 | 68 | 73 | 73 | 69 | 77 | 75 | 73 | 1 | 50 | 0 | 0 | 30 | 2 | 775,000$ | ||||
2 | Ryan Dzingel | X | X | X | 100.00 | 60 | 35 | 94 | 85 | 72 | 79 | 79 | 79 | 76 | 74 | 74 | 67 | 77 | 90 | 88 | 1 | 50 | 0 | 0 | 32 | 1 | 1,000,000$ | ||
3 | Martin Gernat | X | 81.82 | 81 | 45 | 82 | 74 | 83 | 78 | 70 | 76 | 50 | 73 | 65 | 89 | 53 | 90 | 91 | 1 | 50 | 0 | 0 | 31 | 2 | 900,000$ | ||||
4 | Mark Barberio | X | 100.00 | 83 | 42 | 80 | 76 | 79 | 78 | 75 | 78 | 50 | 73 | 65 | 85 | 63 | 91 | 95 | 1 | 50 | 0 | 0 | 34 | 2 | 775,000$ | ||||
5 | Brenden Kichton | X | 100.00 | 80 | 38 | 82 | 75 | 81 | 81 | 81 | 77 | 50 | 73 | 65 | 88 | 59 | 67 | 67 | 5 | 50 | 0 | 0 | 32 | 2 | 775,000$ | ||||
MOYENNE D’ÉQUIPE | 98.70 | 76 | 38 | 86 | 79 | 79 | 80 | 77 | 78 | 61 | 73 | 70 | 76 | 69 | 83 | 83 | 5 | 50 | 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 |
# | 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 moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Steve Mason | 99.00 | 83 | 86 | 83 | 89 | 88 | 88 | 93 | 86 | 86 | 89 | 90 | 99 | 99 | 1 | 50 | 0 | N | 0 | 36 | 3 | 800,000$ |
2 | Tuukka Rask | 100.00 | 84 | 79 | 80 | 85 | 93 | 84 | 89 | 85 | 86 | 87 | 88 | 99 | 99 | 1 | 50 | 0 | 0 | 36 | 2 | 775,000$ | |
3 | Frederik Andersen | 100.00 | 85 | 81 | 81 | 87 | 90 | 87 | 88 | 86 | 86 | 89 | 87 | 89 | 86 | 1 | 50 | 0 | 0 | 35 | 1 | 950,000$ | |
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 99.67 | 84 | 82 | 81 | 87 | 90 | 86 | 90 | 86 | 86 | 88 | 88 | 96 | 95 | 1 | 50 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Dan Bylsma | 79 | 81 | 83 | 80 | 88 | 86 | 70 | USA | 53 | 2 | 1,250,000$ |
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 | 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 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mike Winther | C | 11 | 5 | 5 | 10 | 7 | 2 | 0 | 4 | 7 | 24 | 14 | 13 | 20.83% | 3 | 144 | 13.15 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 51.55% | 97 | 14 | 3 | 1 | 0 | 1.38 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | |
2 | Joey Laleggia | D | 11 | 2 | 7 | 9 | 2 | 10 | 0 | 17 | 17 | 14 | 10 | 7 | 14.29% | 14 | 286 | 26.08 | 1 | 2 | 3 | 3 | 26 | 0 | 0 | 0 | 0 | 33 | 0 | 0 | 0.00% | 0 | 10 | 11 | 0 | 0 | 0.63 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | |
3 | Matt Puempel | LW/RW | 11 | 4 | 5 | 9 | 1 | 2 | 0 | 25 | 9 | 37 | 8 | 20 | 10.81% | 3 | 205 | 18.70 | 2 | 2 | 4 | 5 | 23 | 0 | 0 | 0 | 1 | 40 | 0 | 0 | 49.33% | 75 | 17 | 6 | 0 | 0 | 0.88 | 1 | 2 | 0 | 0 | 0 | 2 | 0 | 0 | |
4 | Alexander Barabanov | RW | 11 | 3 | 5 | 8 | -1 | 0 | 0 | 1 | 10 | 22 | 12 | 13 | 13.64% | 2 | 135 | 12.28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 38.46% | 13 | 14 | 1 | 0 | 0 | 1.18 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | |
5 | Sebastian Collberg | LW/RW | 11 | 3 | 5 | 8 | 0 | 4 | 0 | 14 | 8 | 27 | 8 | 7 | 11.11% | 7 | 142 | 13.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 61.54% | 13 | 18 | 1 | 0 | 0 | 1.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
6 | Alex Iafallo | C/LW | 11 | 4 | 4 | 8 | 1 | 0 | 0 | 7 | 11 | 21 | 8 | 10 | 19.05% | 3 | 179 | 16.30 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 39 | 0 | 0 | 51.72% | 116 | 14 | 7 | 0 | 0 | 0.89 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | |
7 | Mikael Backlund | C/RW | 11 | 4 | 3 | 7 | 1 | 2 | 0 | 8 | 11 | 31 | 7 | 10 | 12.90% | 6 | 186 | 16.95 | 1 | 0 | 1 | 6 | 23 | 0 | 0 | 0 | 0 | 10 | 1 | 2 | 44.44% | 9 | 9 | 3 | 0 | 0 | 0.75 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | |
8 | Michael Joly | RW | 11 | 2 | 5 | 7 | -3 | 6 | 0 | 18 | 11 | 27 | 11 | 7 | 7.41% | 1 | 147 | 13.37 | 0 | 3 | 3 | 9 | 23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 46.88% | 128 | 21 | 1 | 0 | 0 | 0.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
9 | Taro Hirose | LW | 11 | 3 | 3 | 6 | -6 | 0 | 0 | 5 | 6 | 18 | 6 | 21 | 16.67% | 2 | 179 | 16.28 | 0 | 1 | 1 | 2 | 19 | 0 | 0 | 0 | 1 | 12 | 0 | 0 | 42.86% | 7 | 10 | 1 | 0 | 0 | 0.67 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | |
10 | Tyler Johnson | C/LW/RW | 11 | 2 | 4 | 6 | -5 | 0 | 0 | 1 | 9 | 21 | 8 | 15 | 9.52% | 2 | 159 | 14.48 | 1 | 0 | 1 | 3 | 19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.43% | 115 | 9 | 0 | 0 | 0 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
11 | Reid Boucher | LW/RW | 11 | 3 | 3 | 6 | -4 | 4 | 0 | 25 | 5 | 18 | 10 | 10 | 16.67% | 0 | 157 | 14.29 | 0 | 0 | 0 | 2 | 19 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 44.44% | 9 | 12 | 1 | 0 | 0 | 0.76 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | |
12 | Radovan Bondra | LW/RW | 11 | 1 | 5 | 6 | 6 | 10 | 0 | 23 | 6 | 11 | 5 | 9 | 9.09% | 3 | 144 | 13.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 42.86% | 7 | 4 | 3 | 0 | 0 | 0.83 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | |
13 | Keegan Kolesar | RW | 11 | 2 | 4 | 6 | 6 | 2 | 0 | 11 | 6 | 20 | 9 | 19 | 10.00% | 1 | 143 | 13.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 12 | 1 | 0 | 0 | 0.84 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
14 | Martin Gernat | D | 11 | 0 | 5 | 5 | 3 | 6 | 0 | 19 | 29 | 23 | 7 | 10 | 0.00% | 21 | 271 | 24.64 | 0 | 1 | 1 | 6 | 26 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 0.00% | 0 | 0 | 12 | 0 | 0 | 0.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
15 | Daniel Brickley | D | 11 | 1 | 3 | 4 | -2 | 2 | 0 | 18 | 17 | 8 | 9 | 8 | 12.50% | 10 | 210 | 19.15 | 1 | 0 | 1 | 3 | 16 | 0 | 1 | 1 | 1 | 20 | 1 | 0 | 0.00% | 0 | 1 | 9 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | |
16 | Markus Niemelainen | D | 11 | 2 | 2 | 4 | 1 | 12 | 0 | 6 | 21 | 12 | 7 | 6 | 16.67% | 10 | 179 | 16.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 7 | 0 | 0 | 0.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
17 | Jason Demers | D | 8 | 1 | 2 | 3 | 0 | 0 | 0 | 5 | 7 | 5 | 3 | 4 | 20.00% | 9 | 130 | 16.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 2 | 5 | 0 | 0 | 0.46 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | |
18 | Daniel O'Regan | C | 1 | 0 | 2 | 2 | 3 | 0 | 0 | 2 | 0 | 2 | 0 | 4 | 0.00% | 0 | 17 | 17.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 53.33% | 15 | 2 | 0 | 0 | 0 | 2.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
19 | Joel Edmundson | D | 8 | 0 | 1 | 1 | -4 | 6 | 0 | 12 | 17 | 11 | 5 | 7 | 0.00% | 10 | 151 | 18.94 | 0 | 0 | 0 | 1 | 16 | 0 | 0 | 0 | 1 | 12 | 0 | 0 | 0.00% | 0 | 2 | 3 | 0 | 0 | 0.13 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
20 | Mark Barberio | D | 3 | 0 | 1 | 1 | 2 | 2 | 0 | 0 | 4 | 4 | 2 | 4 | 0.00% | 5 | 53 | 17.73 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
21 | Brenden Kichton | D | 3 | 0 | 1 | 1 | 1 | 2 | 0 | 11 | 10 | 2 | 1 | 1 | 0.00% | 1 | 55 | 18.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 6 | 0 | 0 | 0.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | |
Statistiques d’équipe totales ou en moyenne | 199 | 42 | 75 | 117 | 9 | 72 | 0 | 232 | 221 | 358 | 150 | 205 | 11.73% | 113 | 3281 | 16.49 | 6 | 10 | 16 | 40 | 217 | 1 | 2 | 3 | 6 | 230 | 4 | 2 | 49.59% | 607 | 171 | 81 | 1 | 0 | 0.71 | 4 | 6 | 0 | 0 | 0 | 6 | 5 | 4 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | Steve Mason | Danbury Trashers (PHI) | 11 | 6 | 4 | 1 | 0.886 | 3.62 | 580 | 2 | 0 | 35 | 307 | 163 | 0 | 0 | 0.714 | 7 | 11 | 0 | 0 | 1 | 0 |
2 | Frederik Andersen | Danbury Trashers (PHI) | 3 | 0 | 0 | 0 | 0.849 | 5.16 | 93 | 0 | 0 | 8 | 53 | 31 | 0 | 0 | 0.000 | 0 | 0 | 11 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 14 | 6 | 4 | 1 | 0.881 | 3.83 | 674 | 2 | 0 | 43 | 360 | 194 | 0 | 0 | 7 | 11 | 11 | 0 | 1 | 0 |
Nom du joueur | POS | Âge | Date de naissance | Termes | Contrat | Cap % | Année 2024 | Année 2025 | Année 2026 | Année 2027 | Année 2028 | Année 2029 | Année 2030 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Attaquant | |||||||||||||
Alex Iafallo | C/LW | 31 | 1993-01-22 | NT TW | 3 | 0.00% | 800,000$ | 800,000$ | 800,000$ | UFA [Age: 34] | |||
Alexander Barabanov | RW | 30 | 1994-01-22 | IN TW | 2 | 0.00% | 775,000$ | 775,000$ | UFA [Age: 32] | ||||
Keegan Kolesar | RW | 27 | 1997-01-22 | TW | 2 | 0.00% | 800,000$ | 800,000$ | UFA [Age: 29] | ||||
Matt Puempel | LW/RW | 31 | 1993-01-22 | NT TW | 3 | 0.00% | 800,000$ | 800,000$ | 800,000$ | UFA [Age: 34] | |||
Michael Joly | RW | 29 | 1995-01-22 | NT TW | 3 | 0.00% | 900,000$ | 900,000$ | 900,000$ | UFA [Age: 32] | |||
Mikael Backlund | C/RW | 35 | 1989-01-22 | TW | 1 | 0.00% | 750,000$ | UFA [Age: 36] | |||||
Mike Winther | C | 30 | 1994-01-22 | TW | 2 | 0.00% | 775,000$ | 775,000$ | UFA [Age: 32] | ||||
Radovan Bondra | LW/RW | 27 | 1997-01-22 | TW | 2 | 0.00% | 800,000$ | 800,000$ | UFA [Age: 29] | ||||
Reid Boucher | LW/RW | 31 | 1993-01-22 | TW | 2 | 0.00% | 775,000$ | 775,000$ | UFA [Age: 33] | ||||
Ryan Dzingel | C/LW/RW | 32 | 1992-01-22 | TW | 1 | 0.00% | 1,000,000$ | UFA [Age: 33] | |||||
Sebastian Collberg | LW/RW | 30 | 1994-01-22 | NT TW | 2 | 0.00% | 800,000$ | 800,000$ | UFA [Age: 32] | ||||
Taro Hirose | LW | 28 | 1996-01-22 | NT TW | 3 | 0.00% | 975,000$ | 975,000$ | 975,000$ | UFA [Age: 31] | |||
Tyler Johnson | C/LW/RW | 34 | 1990-01-22 | TW | 2 | 0.00% | 900,000$ | 900,000$ | UFA [Age: 36] | ||||
MOYENNE (13) | 30.38 | 0.00% | 0$ | 9,100,000$ | 3,475,000$ | 0$ | 0$ | 0$ | 0$ | ||||
Défenseur | |||||||||||||
Brenden Kichton | D | 32 | 1992-01-22 | TW | 2 | 0.00% | 775,000$ | 775,000$ | UFA [Age: 34] | ||||
Chris Martenet | D | 28 | 1996-01-22 | TW | 1 | 0.00% | 900,000$ | UFA [Age: 29] | |||||
Daniel Brickley | D | 29 | 1995-01-22 | TW | 1 | 0.00% | 1,500,000$ | UFA [Age: 30] | |||||
Jason Demers | D | 36 | 1988-01-02 | NT TW | 2 | 0.00% | 775,000$ | 775,000$ | UFA [Age: 38] | ||||
Joel Edmundson | D | 31 | 1993-01-22 | TW | 1 | 0.00% | 900,000$ | UFA [Age: 32] | |||||
Joey Laleggia | D | 32 | 1992-01-22 | NT TW | 2 | 0.00% | 1,250,000$ | 1,250,000$ | UFA [Age: 34] | ||||
Jordan Gross | D | 29 | 1995-01-02 | TW | 2 | 0.00% | 775,000$ | 775,000$ | UFA [Age: 31] | ||||
Mark Barberio | D | 34 | 1990-01-22 | TW | 2 | 0.00% | 775,000$ | 775,000$ | UFA [Age: 36] | ||||
Markus Niemelainen | D | 26 | 1998-01-22 | TW | 1 | 0.00% | 1,400,000$ | RFA ( Groupe: 2 ) [Age: 27] | |||||
Martin Gernat | D | 31 | 1993-01-22 | IN TW | 2 | 0.00% | 900,000$ | 900,000$ | UFA [Age: 33] | ||||
MOYENNE (10) | 30.80 | 0.00% | 0$ | 5,250,000$ | 0$ | 0$ | 0$ | 0$ | 0$ | ||||
Gardiens | |||||||||||||
Frederik Andersen | G | 35 | 1989-01-22 | TW | 1 | 0.00% | 950,000$ | UFA [Age: 36] | |||||
Steve Mason | G | 36 | 1988-01-22 | NT TW | 3 | 0.00% | 800,000$ | 800,000$ | 800,000$ | UFA [Age: 39] | |||
Tuukka Rask | G | 36 | 1988-01-22 | TW | 2 | 0.00% | 775,000$ | 775,000$ | UFA [Age: 38] |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Matt Puempel | Michael Joly | Mikael Backlund | 25 | 1 | 2 | 2 |
2 | Taro Hirose | Tyler Johnson | Reid Boucher | 25 | 1 | 2 | 2 |
3 | Sebastian Collberg | Alex Iafallo | 25 | 1 | 2 | 2 | |
4 | Radovan Bondra | Mike Winther | Keegan Kolesar | 25 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Joey Laleggia | 25 | 1 | 2 | 2 | ||
2 | Daniel Brickley | Joel Edmundson | 25 | 1 | 2 | 2 | |
3 | Markus Niemelainen | Jason Demers | 25 | 1 | 2 | 2 | |
4 | Joey Laleggia | 25 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Matt Puempel | Michael Joly | Mikael Backlund | 60 | 1 | 2 | 2 |
2 | Taro Hirose | Tyler Johnson | Reid Boucher | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Joey Laleggia | 60 | 1 | 2 | 2 | ||
2 | Daniel Brickley | Joel Edmundson | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Matt Puempel | Alex Iafallo | 60 | 1 | 2 | 2 |
2 | Taro Hirose | Mikael Backlund | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Joey Laleggia | 60 | 1 | 2 | 2 | |
2 | Daniel Brickley | Joel Edmundson | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Matt Puempel | 60 | 1 | 2 | 2 | Joey Laleggia | 60 | 1 | 2 | 2 | |
2 | Mikael Backlund | 40 | 1 | 2 | 2 | Daniel Brickley | Joel Edmundson | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Matt Puempel | Sebastian Collberg | 60 | 1 | 2 | 2 |
2 | Taro Hirose | Mikael Backlund | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Joey Laleggia | 60 | 1 | 2 | 2 | |
2 | Daniel Brickley | Joel Edmundson | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Matt Puempel | Michael Joly | Mikael Backlund | Joey Laleggia |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Matt Puempel | Michael Joly | Mikael Backlund | Joey Laleggia |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Sebastian Collberg, Alex Iafallo, | Sebastian Collberg, Alex Iafallo |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Markus Niemelainen, Joel Edmundson, Daniel Brickley | Markus Niemelainen | Joel Edmundson, Daniel Brickley |
Tirs de pénalité |
---|
Matt Puempel, , Taro Hirose, Mikael Backlund, Tyler Johnson |
Gardien |
---|
#1 : Steve Mason, #2 : Frederik Andersen |
Lignes d’attaque personnalisées en prolongation |
---|
Matt Puempel, Michael Joly, Taro Hirose, Mikael Backlund, Tyler Johnson, Reid Boucher, Reid Boucher, Sebastian Collberg, Alex Iafallo, , Mike Winther |
Lignes de défense personnalisées en prolongation |
---|
Joey Laleggia, , Daniel Brickley, Joel Edmundson, Markus Niemelainen |
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 | Albany Devils | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 7 | 12 | 19 | 0 | 0 | 15 | 10 | 16 | 5 | 36 | 104 | 118 | 128 | 14 | 33 | 9 | 2 | 30 | 7 | 3 | 42.86% | 1 | 0 | 100.00% | 0 | 120 | 224 | 53.57% | 105 | 219 | 47.95% | 76 | 153 | 49.67% | 255 | 168 | 249 | 89 | 169 | 84 |
2 | Blainville-Boisbriand Armada | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 13 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 8 | 13 | -5 | 2 | 0.500 | 8 | 12 | 20 | 0 | 0 | 15 | 10 | 16 | 5 | 54 | 104 | 118 | 128 | 14 | 81 | 30 | 16 | 30 | 1 | 1 | 100.00% | 8 | 4 | 50.00% | 0 | 120 | 224 | 53.57% | 105 | 219 | 47.95% | 76 | 153 | 49.67% | 255 | 168 | 249 | 89 | 169 | 84 |
3 | Chicoutimi Saguenéens | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 15 | 10 | 16 | 5 | 30 | 104 | 118 | 128 | 14 | 27 | 15 | 16 | 20 | 2 | 1 | 50.00% | 8 | 0 | 100.00% | 1 | 120 | 224 | 53.57% | 105 | 219 | 47.95% | 76 | 153 | 49.67% | 255 | 168 | 249 | 89 | 169 | 84 |
4 | Chisinau Pelicans | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 15 | 10 | 16 | 5 | 33 | 104 | 118 | 128 | 14 | 21 | 5 | 2 | 23 | 5 | 1 | 20.00% | 1 | 0 | 100.00% | 0 | 120 | 224 | 53.57% | 105 | 219 | 47.95% | 76 | 153 | 49.67% | 255 | 168 | 249 | 89 | 169 | 84 |
5 | Connecticut Whale | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 15 | 10 | 16 | 5 | 33 | 104 | 118 | 128 | 14 | 38 | 12 | 6 | 19 | 4 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 120 | 224 | 53.57% | 105 | 219 | 47.95% | 76 | 153 | 49.67% | 255 | 168 | 249 | 89 | 169 | 84 |
6 | Grand Rapids Griffins | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 2 | 0.500 | 9 | 16 | 25 | 0 | 0 | 15 | 10 | 16 | 5 | 63 | 104 | 118 | 128 | 14 | 64 | 14 | 12 | 43 | 0 | 0 | 0% | 6 | 2 | 66.67% | 0 | 120 | 224 | 53.57% | 105 | 219 | 47.95% | 76 | 153 | 49.67% | 255 | 168 | 249 | 89 | 169 | 84 |
7 | Norfolk Admirals | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 15 | 10 | 16 | 5 | 45 | 104 | 118 | 128 | 14 | 38 | 10 | 2 | 18 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 120 | 224 | 53.57% | 105 | 219 | 47.95% | 76 | 153 | 49.67% | 255 | 168 | 249 | 89 | 169 | 84 |
8 | Providence Bruins | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 5 | 9 | 0 | 0 | 15 | 10 | 16 | 5 | 36 | 104 | 118 | 128 | 14 | 30 | 5 | 6 | 20 | 2 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 120 | 224 | 53.57% | 105 | 219 | 47.95% | 76 | 153 | 49.67% | 255 | 168 | 249 | 89 | 169 | 84 |
9 | Springfield Falcons | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 15 | 10 | 16 | 5 | 28 | 104 | 118 | 128 | 14 | 28 | 13 | 12 | 29 | 5 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 120 | 224 | 53.57% | 105 | 219 | 47.95% | 76 | 153 | 49.67% | 255 | 168 | 249 | 89 | 169 | 84 |
Total | 11 | 3 | 4 | 0 | 1 | 1 | 2 | 0 | 44 | 43 | 1 | 5 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 21 | 13 | 8 | 6 | 1 | 3 | 0 | 0 | 1 | 1 | 0 | 23 | 30 | -7 | 13 | 0.591 | 44 | 75 | 119 | 0 | 0 | 15 | 10 | 16 | 5 | 358 | 104 | 118 | 128 | 14 | 360 | 113 | 74 | 232 | 28 | 6 | 21.43% | 37 | 9 | 75.68% | 1 | 120 | 224 | 53.57% | 105 | 219 | 47.95% | 76 | 153 | 49.67% | 255 | 168 | 249 | 89 | 169 | 84 | |
_Since Last GM Reset | 11 | 3 | 4 | 0 | 1 | 1 | 2 | 0 | 44 | 43 | 1 | 5 | 2 | 1 | 0 | 1 | 0 | 1 | 0 | 21 | 13 | 8 | 6 | 1 | 3 | 0 | 0 | 1 | 1 | 0 | 23 | 30 | -7 | 13 | 0.591 | 44 | 75 | 119 | 0 | 0 | 15 | 10 | 16 | 5 | 358 | 104 | 118 | 128 | 14 | 360 | 113 | 74 | 232 | 28 | 6 | 21.43% | 37 | 9 | 75.68% | 1 | 120 | 224 | 53.57% | 105 | 219 | 47.95% | 76 | 153 | 49.67% | 255 | 168 | 249 | 89 | 169 | 84 | |
_Vs Conference | 5 | 1 | 2 | 0 | 1 | 0 | 1 | 0 | 20 | 19 | 1 | 4 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 17 | 11 | 6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 6 | 0.600 | 20 | 33 | 53 | 0 | 0 | 15 | 10 | 16 | 5 | 178 | 104 | 118 | 128 | 14 | 167 | 49 | 28 | 116 | 20 | 3 | 15.00% | 14 | 3 | 78.57% | 0 | 120 | 224 | 53.57% | 105 | 219 | 47.95% | 76 | 153 | 49.67% | 255 | 168 | 249 | 89 | 169 | 84 | |
_Vs Division | 4 | 1 | 2 | 0 | 0 | 0 | 1 | 0 | 17 | 18 | -1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 17 | 18 | -1 | 4 | 0.500 | 17 | 28 | 45 | 0 | 0 | 15 | 10 | 16 | 5 | 117 | 104 | 118 | 128 | 14 | 145 | 44 | 28 | 73 | 1 | 1 | 100.00% | 14 | 6 | 57.14% | 0 | 120 | 224 | 53.57% | 105 | 219 | 47.95% | 76 | 153 | 49.67% | 255 | 168 | 249 | 89 | 169 | 84 |
Total pour les joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
11 | 13 | L2 | 44 | 75 | 119 | 358 | 360 | 113 | 74 | 232 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
11 | 3 | 4 | 1 | 1 | 2 | 0 | 44 | 43 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 2 | 1 | 1 | 0 | 1 | 0 | 21 | 13 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
6 | 1 | 3 | 0 | 1 | 1 | 0 | 23 | 30 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
5 | 4 | 0 | 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 |
---|---|---|---|---|---|---|
28 | 6 | 21.43% | 37 | 9 | 75.68% | 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 |
---|---|---|---|---|---|---|---|
104 | 118 | 128 | 14 | 15 | 10 | 16 | 5 |
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 |
120 | 224 | 53.57% | 105 | 219 | 47.95% | 76 | 153 | 49.67% |
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 |
255 | 168 | 249 | 89 | 169 | 84 |
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 |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
# | 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 |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
# | 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 |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|