Barracuda | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Roland Roberge | Morale : 40 | Moyenne d'Équipe : 63 |
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 | Corban Knight (R) | X | 100.00 | 78 | 34 | 69 | 73 | 77 | 66 | 82 | 73 | 73 | 77 | 75 | 66 | 67 | 65 | 60 | 33 | 30 | 71 | 0 | 26 | 1 | 1,150,000$ | ||||
2 | Sam Carrick (R) | X | 100.00 | 73 | 37 | 71 | 70 | 73 | 59 | 79 | 73 | 69 | 75 | 71 | 70 | 63 | 53 | 50 | 38 | 37 | 69 | 0 | 24 | 1 | 600,000$ | ||||
3 | Brandon Kozun | X | 100.00 | 66 | 24 | 76 | 70 | 68 | 76 | 77 | 73 | 72 | 73 | 69 | 62 | 70 | 62 | 56 | 28 | 36 | 68 | 0 | 26 | 1 | 750,000$ | ||||
4 | William Carrier (R) | X | 100.00 | 78 | 40 | 74 | 67 | 69 | 64 | 74 | 73 | 65 | 76 | 63 | 62 | 67 | 49 | 44 | 43 | 31 | 67 | 0 | 22 | 1 | 725,000$ | ||||
5 | Emil Pettersson (R) | X | 100.00 | 60 | 28 | 79 | 65 | 65 | 60 | 71 | 69 | 73 | 74 | 71 | 54 | 63 | 47 | 45 | 41 | 39 | 65 | 0 | 22 | 1 | 600,000$ | ||||
6 | Phil Di Giuseppe (R) | X | 100.00 | 64 | 32 | 70 | 76 | 68 | 72 | 73 | 75 | 67 | 57 | 73 | 50 | 64 | 47 | 47 | 43 | 34 | 65 | 0 | 23 | 1 | 400,000$ | ||||
7 | Juho Lammikko (R) | X | 100.00 | 72 | 35 | 66 | 71 | 70 | 59 | 70 | 71 | 58 | 64 | 65 | 58 | 56 | 42 | 43 | 53 | 40 | 63 | 0 | 20 | 1 | 550,000$ | ||||
8 | Justin Shugg (R) | X | 100.00 | 63 | 32 | 77 | 57 | 67 | 72 | 67 | 67 | 67 | 63 | 71 | 57 | 63 | 51 | 46 | 36 | 35 | 63 | 0 | 24 | 1 | 600,000$ | ||||
9 | Chris Wagner | X | 100.00 | 60 | 26 | 75 | 67 | 59 | 69 | 70 | 71 | 63 | 61 | 66 | 51 | 61 | 51 | 54 | 28 | 40 | 62 | 0 | 25 | 1 | 600,000$ | ||||
10 | Theodor Blueger (R) | X | 100.00 | 62 | 35 | 80 | 65 | 59 | 63 | 64 | 72 | 61 | 64 | 66 | 53 | 62 | 45 | 46 | 45 | 40 | 62 | 0 | 22 | 1 | 600,000$ | ||||
11 | Cole Ully (R) | X | 100.00 | 59 | 37 | 76 | 62 | 58 | 69 | 66 | 67 | 67 | 76 | 62 | 42 | 62 | 43 | 43 | 48 | 40 | 61 | 0 | 21 | 1 | 600,000$ | ||||
12 | Mario Lucia (R) | X | 100.00 | 59 | 37 | 68 | 59 | 67 | 64 | 60 | 66 | 60 | 54 | 78 | 51 | 58 | 45 | 45 | 37 | 40 | 61 | 0 | 23 | 1 | 550,000$ | ||||
13 | Alex Henriksson (R) | X | 100.00 | 65 | 32 | 71 | 61 | 55 | 56 | 68 | 66 | 54 | 68 | 65 | 51 | 67 | 43 | 43 | 44 | 40 | 60 | 0 | 21 | 1 | 600,000$ | ||||
14 | Kevin Connauton (R) | X | 100.00 | 74 | 23 | 85 | 77 | 80 | 76 | 77 | 72 | 53 | 66 | 72 | 71 | 63 | 74 | 58 | 33 | 40 | 71 | 0 | 26 | 1 | 1,500,000$ | ||||
15 | Luca Sbisa (R) | X | 100.00 | 63 | 26 | 71 | 73 | 68 | 75 | 61 | 76 | 44 | 79 | 61 | 73 | 54 | 56 | 51 | 33 | 40 | 68 | 0 | 26 | 1 | 675,000$ | ||||
16 | Samuel Groulx (R) | X | 100.00 | 59 | 35 | 72 | 72 | 67 | 76 | 65 | 67 | 51 | 72 | 65 | 75 | 51 | 58 | 51 | 29 | 40 | 67 | 0 | 26 | 1 | 775,000$ | ||||
17 | David Shields | X | 100.00 | 59 | 38 | 80 | 66 | 64 | 68 | 65 | 61 | 40 | 70 | 48 | 74 | 47 | 48 | 49 | 29 | 40 | 65 | 0 | 25 | 1 | 550,000$ | ||||
18 | Jerome Gauthier-Leduc (R) | X | 100.00 | 59 | 43 | 77 | 68 | 60 | 67 | 62 | 66 | 34 | 64 | 50 | 70 | 52 | 48 | 48 | 33 | 40 | 63 | 0 | 24 | 2 | 500,000$ | ||||
19 | Robin Norell (R) | X | 100.00 | 66 | 33 | 78 | 64 | 59 | 68 | 61 | 57 | 33 | 64 | 41 | 76 | 51 | 44 | 44 | 44 | 40 | 63 | 0 | 21 | 2 | 500,000$ | ||||
20 | Jakob Chychrun (R) | X | 100.00 | 58 | 31 | 70 | 81 | 46 | 59 | 73 | 73 | 25 | 80 | 59 | 65 | 46 | 40 | 40 | 89 | 40 | 63 | 0 | 18 | 2 | 500,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Tanner Jeannot (R) | X | 100.00 | 76 | 40 | 52 | 61 | 71 | 57 | 70 | 63 | 49 | 62 | 53 | 52 | 55 | 42 | 41 | 73 | 40 | 57 | 0 | 19 | 2 | 500,000$ | ||||
2 | Thomas Gobeil (R) | X | 100.00 | 62 | 38 | 60 | 55 | 58 | 56 | 68 | 63 | 61 | 58 | 53 | 46 | 62 | 46 | 45 | 41 | 40 | 56 | 0 | 22 | 1 | 600,000$ | ||||
3 | Noah Gregor (R) | X | 100.00 | 51 | 33 | 73 | 64 | 50 | 52 | 53 | 54 | 58 | 53 | 63 | 54 | 57 | 40 | 40 | 79 | 40 | 56 | 0 | 18 | 2 | 500,000$ | ||||
4 | Drew O'Connor (R) | X | 100.00 | 71 | 38 | 57 | 55 | 77 | 49 | 74 | 57 | 52 | 60 | 55 | 43 | 43 | 40 | 40 | 74 | 40 | 55 | 0 | 18 | 2 | 500,000$ | ||||
5 | Michael Pezzetta (R) | X | 100.00 | 65 | 47 | 60 | 48 | 63 | 42 | 63 | 47 | 52 | 45 | 46 | 32 | 50 | 40 | 40 | 63 | 40 | 48 | 0 | 18 | 2 | 500,000$ | ||||
6 | Alex Lintuniemi (R) | X | 100.00 | 51 | 31 | 66 | 62 | 54 | 55 | 52 | 70 | 24 | 64 | 48 | 57 | 42 | 42 | 42 | 59 | 40 | 56 | 0 | 20 | 1 | 550,000$ | ||||
7 | Dennis Cholowski (R) | X | 100.00 | 57 | 34 | 74 | 45 | 51 | 65 | 66 | 55 | 24 | 61 | 58 | 46 | 51 | 40 | 40 | 83 | 40 | 54 | 0 | 18 | 2 | 500,000$ | ||||
MOYENNE D'ÉQUIPE | 100.00 | 64 | 34 | 71 | 65 | 64 | 63 | 68 | 67 | 54 | 66 | 62 | 58 | 57 | 48 | 46 | 47 | 39 | 62 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Chet Pickard | 100.00 | 79 | 72 | 78 | 74 | 76 | 73 | 73 | 74 | 74 | 74 | 76 | 68 | 67 | 28 | 40 | 74 | 0 | |
2 | Joacim Eriksson | 100.00 | 70 | 67 | 67 | 76 | 68 | 57 | 63 | 71 | 67 | 63 | 66 | 50 | 51 | 27 | 40 | 65 | 0 | |
Rayé | ||||||||||||||||||||
1 | Oscar Dansk | 100.00 | 68 | 52 | 61 | 66 | 75 | 58 | 57 | 59 | 60 | 52 | 65 | 44 | 44 | 44 | 40 | 61 | 0 | |
2 | Kevin Lankinen (R) | 100.00 | 65 | 58 | 58 | 66 | 62 | 66 | 57 | 68 | 60 | 62 | 53 | 40 | 40 | 78 | 40 | 60 | 0 | |
MOYENNE D'ÉQUIPE | 100.00 | 71 | 62 | 66 | 71 | 70 | 64 | 63 | 68 | 65 | 63 | 65 | 51 | 51 | 44 | 40 | 65 |
Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Dale Hunter | 77 | 81 | 66 | 64 | 43 | 68 | 54 | Can | 65 | 3 | 650,000$ |
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 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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 | Cap Salariale |
Cap Salariale Restant |
Exclus du Cap Salarial |
Salaire Année 2 | Salaire Année 3 | Salaire Année 4 | Salaire Année 5 | Salaire Année 6 | Salaire Année 7 | Salaire Année 8 | Salaire Année 9 | Salaire Année 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Henriksson | Barracuda (S.J) | LW | 21 | 1995-01-01 | Yes | 185 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | ||||||||||
Alex Lintuniemi | Barracuda (S.J) | D | 20 | 1996-01-01 | Yes | 214 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 550,000$ | 550,000$ | 0$ | 0$ | No | ||||||||||
Brandon Kozun | Barracuda (S.J) | RW | 26 | 1990-01-01 | No | 167 Lbs | 5 ft8 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | ||||||||||
Chet Pickard | Barracuda (S.J) | G | 25 | 1991-01-01 | No | 206 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 995,000$ | 995,000$ | 0$ | 0$ | No | ||||||||||
Chris Wagner | Barracuda (S.J) | RW | 25 | 1991-01-01 | No | 202 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | ||||||||||
Cole Ully | Barracuda (S.J) | LW | 21 | 1995-01-01 | Yes | 185 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | ||||||||||
Corban Knight | Barracuda (S.J) | C | 26 | 1990-01-01 | Yes | 195 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,150,000$ | 1,150,000$ | 0$ | 0$ | No | ||||||||||
David Shields | Barracuda (S.J) | D | 25 | 1991-01-01 | No | 204 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 550,000$ | 550,000$ | 0$ | 0$ | No | ||||||||||
Dennis Cholowski | Barracuda (S.J) | D | 18 | 1998-01-01 | Yes | 196 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
Drew O'Connor | Barracuda (S.J) | LW | 18 | 1998-01-01 | Yes | 190 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
Emil Pettersson | Barracuda (S.J) | C | 22 | 1994-01-01 | Yes | 185 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | ||||||||||
Jakob Chychrun | Barracuda (S.J) | D | 18 | 1998-01-01 | Yes | 209 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
Jerome Gauthier-Leduc | Barracuda (S.J) | D | 24 | 1992-01-01 | Yes | 192 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
Joacim Eriksson | Barracuda (S.J) | G | 26 | 1990-01-01 | No | 189 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | ||||||||||
Juho Lammikko | Barracuda (S.J) | RW | 20 | 1996-01-01 | Yes | 191 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 550,000$ | 550,000$ | 0$ | 0$ | No | ||||||||||
Justin Shugg | Barracuda (S.J) | RW | 24 | 1992-01-01 | Yes | 185 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | ||||||||||
Kevin Connauton | Barracuda (S.J) | D | 26 | 1990-01-01 | Yes | 200 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,500,000$ | 1,500,000$ | 0$ | 0$ | No | ||||||||||
Kevin Lankinen | Barracuda (S.J) | G | 21 | 1995-01-01 | Yes | 185 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
Luca Sbisa | Barracuda (S.J) | D | 26 | 1990-01-01 | Yes | 207 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 675,000$ | 675,000$ | 0$ | 0$ | No | ||||||||||
Mario Lucia | Barracuda (S.J) | RW | 23 | 1993-01-01 | Yes | 204 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 550,000$ | 550,000$ | 0$ | 0$ | No | ||||||||||
Michael Pezzetta | Barracuda (S.J) | LW | 18 | 1998-01-01 | Yes | 205 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
Noah Gregor | Barracuda (S.J) | C | 18 | 1998-01-01 | Yes | 185 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
Oscar Dansk | Barracuda (S.J) | G | 22 | 1994-01-01 | No | 187 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 525,000$ | 525,000$ | 0$ | 0$ | No | ||||||||||
Phil Di Giuseppe | Barracuda (S.J) | LW | 23 | 1993-01-01 | Yes | 197 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 400,000$ | 400,000$ | 0$ | 0$ | No | ||||||||||
Robin Norell | Barracuda (S.J) | D | 21 | 1995-01-01 | Yes | 185 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
Sam Carrick | Barracuda (S.J) | C | 24 | 1992-01-01 | Yes | 188 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | ||||||||||
Samuel Groulx | Barracuda (S.J) | D | 26 | 1990-01-01 | Yes | 182 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | ||||||||||
Tanner Jeannot | Barracuda (S.J) | LW | 19 | 1997-01-01 | Yes | 214 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 500,000$ | 500,000$ | 0$ | 0$ | No | 500,000$ | |||||||||
Theodor Blueger | Barracuda (S.J) | C | 22 | 1994-01-01 | Yes | 171 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | ||||||||||
Thomas Gobeil | Barracuda (S.J) | RW | 22 | 1994-01-01 | Yes | 185 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 600,000$ | 600,000$ | 0$ | 0$ | No | ||||||||||
William Carrier | Barracuda (S.J) | LW | 22 | 1994-01-01 | Yes | 185 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 725,000$ | 725,000$ | 0$ | 0$ | No |
Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
---|---|---|---|---|---|
31 | 22.32 | 193 Lbs | 6 ft1 | 1.29 | 632,097$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Attaque en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Défense en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Attaque à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
3 joueurs en Désavantage Numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % Temps | PHY | DF | OF | Défense | Défense | % Temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Attaque Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Défense Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Attaquants Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
, , | , |
Défenseurs Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
, , | , |
Tirs de Pénalité |
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, , , , |
Gardien |
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#1 : , #2 : |
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 |
Ligue | 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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 |
Total Pour les Joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs Joués | Points | Séquence | Buts | Passes | Points | Tirs Pour | Tirs Contre | Tirs Bloqués | Minutes de Pénalité | Mises en Échec | Buts en Filet Désert | Blanchissage |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tous les Matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs Éxtérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Derniers 10 Matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 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 |
---|---|---|---|---|---|---|
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 |
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 |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
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 |
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
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 |
0 | 0 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Jour | Match |
Équipe Visiteuse |
Score |
Équipe Locale |
Score |
ST |
OT |
SO |
RI |
Lien |
---|---|---|---|---|---|---|---|---|---|---|
Capacité de l'Aréna - Tendance du Prix des Billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des Billets | 35 | 15 |
Assistance | 0.00% | 0.00% |
Assistance PCT | 0.00% | 0.00% |
Revenus | |||||
---|---|---|---|---|---|
Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels à ce Jour | Capacité | Popularité de l'Équipe |
0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses Annuelles à Ce Jour | Salaire Total des Joueurs | Salaire Total Moyen des Joueurs | Salaire des Coachs |
0$ | 1,959,500$ | 1,304,500$ | 0$ |
Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Éstimation | |||
---|---|---|---|
Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
0$ | 0 | 0$ | 0$ |
Ligue | 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 |