Cleveland Monsters | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Alexandre Fyfe | Morale : 50 | Moyenne d’équipe : N/A |
|
|
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 | Danick Martel | X | 100.00 | 40 | 35 | 40 | 58 | 35 | 80 | 90 | 40 | 20 | 40 | 40 | 40 | 30 | 69 | 71 | 11 | 44 | 0 | 0 | 29 | 2 | 950,000$ | ||||
2 | Michael Pezzetta | X | X | 100.00 | 93 | 78 | 70 | 65 | 81 | 73 | 83 | 63 | 58 | 62 | 59 | 61 | 64 | 66 | 67 | 48 | 45 | 0 | 0 | 26 | 4 | 800,000$ | |||
3 | Alexander Holtz (R) | X | 100.00 | 64 | 37 | 93 | 70 | 73 | 82 | 81 | 67 | 59 | 61 | 68 | 64 | 73 | 62 | 65 | 87 | 50 | 0 | 0 | 22 | 1 | 925,000$ | ||||
4 | Dylan Holloway (R) | X | X | X | 100.00 | 76 | 42 | 81 | 66 | 79 | 81 | 82 | 64 | 60 | 61 | 67 | 62 | 68 | 63 | 65 | 83 | 43 | 0 | 0 | 23 | 1 | 925,000$ | ||
5 | Vasily Podkolzin (R) | X | X | 100.00 | 76 | 38 | 89 | 66 | 75 | 86 | 84 | 64 | 63 | 60 | 62 | 61 | 62 | 63 | 65 | 85 | 50 | 0 | 0 | 23 | 2 | 925,000$ | |||
6 | Eetu Liukas (R) | X | 100.00 | 75 | 41 | 77 | 56 | 84 | 75 | 68 | 55 | 52 | 54 | 54 | 57 | 53 | 62 | 64 | 49 | 52 | 0 | 0 | 22 | 2 | 867,500$ | ||||
7 | Matthew Knies (R) | X | X | 100.00 | 78 | 54 | 82 | 73 | 87 | 83 | 75 | 69 | 50 | 70 | 67 | 65 | 68 | 62 | 67 | 71 | 49 | 0 | 0 | 21 | 2 | 925,000$ | |||
8 | Alexander Petrovic | X | 100.00 | 81 | 71 | 77 | 60 | 91 | 78 | 86 | 59 | 30 | 58 | 57 | 61 | 48 | 73 | 74 | 47 | 54 | 0 | 0 | 32 | 2 | 900,000$ | ||||
9 | Andreas Englund | X | 100.00 | 81 | 73 | 69 | 63 | 86 | 79 | 87 | 61 | 30 | 65 | 58 | 67 | 49 | 68 | 70 | 62 | 50 | 0 | 0 | 28 | 1 | 700,000$ | ||||
10 | Jordan Spence | X | 100.00 | 66 | 41 | 89 | 67 | 68 | 83 | 85 | 65 | 30 | 73 | 59 | 63 | 50 | 63 | 65 | 62 | 38 | 0 | 0 | 23 | 1 | 750,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 73 | 51 | 77 | 64 | 76 | 80 | 82 | 61 | 45 | 60 | 59 | 60 | 57 | 65 | 67 | 61 | 48 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Dennis Hildeby (R) | 100.00 | 58 | 95 | 74 | 91 | 59 | 62 | 62 | 62 | 62 | 51 | 70 | 63 | 69 | 58 | 58 | 0 | 0 | 23 | 1 | 850,000$ | |
2 | Jet Greaves (R) | 100.00 | 69 | 99 | 85 | 71 | 70 | 65 | 64 | 64 | 65 | 53 | 76 | 63 | 69 | 58 | 45 | 0 | 0 | 23 | 2 | 775,000$ | |
Rayé | |||||||||||||||||||||||
1 | Cale Morris | 100.00 | 59 | 95 | 67 | 75 | 60 | 52 | 52 | 52 | 53 | 44 | 64 | 68 | 81 | 36 | 50 | 0 | 0 | 28 | 1 | 750,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 62 | 96 | 75 | 79 | 63 | 60 | 59 | 59 | 60 | 49 | 70 | 65 | 73 | 51 | 51 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|
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 |
Pays |
Recrue |
Poids |
Taille |
Non-échange |
Disponible pour échange |
Acquis Par |
Date de la Dernière Transaction |
Ballotage forcé |
Waiver Possible |
Contrat |
Date du Signature du Contrat |
Forcer UFA |
Rappel d'urgence |
Type |
Salaire actuel |
Salaire restant | Plafond salarial |
Plafond salarial restant |
Exclus du plafond 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 | Plafond salarial année 2 | Plafond salarial année 3 | Plafond salarial année 4 | Plafond salarial année 5 | Plafond salarial année 6 | Plafond salarial année 7 | Plafond salarial année 8 | Plafond salarial année 9 | Plafond salarial année 10 | Non-échange année 2 | Non-échange année 3 | Non-échange année 4 | Non-échange année 5 | Non-échange année 6 | Non-échange année 7 | Non-échange année 8 | Non-échange année 9 | Non-échange année 10 | Lien |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Holtz | Cleveland Monsters (CBJ) | RW | 22 | 2002-01-23 | SWE | Yes | 195 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 925,000$ | 396,429$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |
Alexander Petrovic | Cleveland Monsters (CBJ) | D | 32 | 1992-03-03 | CAN | No | 208 Lbs | 6 ft5 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 900,000$ | 385,714$ | 0$ | 0$ | No | 900,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Andreas Englund | Cleveland Monsters (CBJ) | D | 28 | 1996-01-21 | SWE | No | 200 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 300,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Cale Morris | Cleveland Monsters (CBJ) | G | 28 | 1996-05-22 | USA | No | 190 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 321,429$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Danick Martel | Cleveland Monsters (CBJ) | LW | 29 | 1994-12-12 | CAN | No | 184 Lbs | 5 ft9 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 950,000$ | 407,143$ | 0$ | 0$ | No | 950,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Dennis Hildeby | Cleveland Monsters (CBJ) | G | 23 | 2001-08-19 | SWE | Yes | 209 Lbs | 6 ft5 | No | No | Trade | 2024-09-14 | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 850,000$ | 364,286$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien |
Dylan Holloway | Cleveland Monsters (CBJ) | C/LW/RW | 23 | 2001-09-23 | CAN | Yes | 206 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 1 | 2024-08-20 | False | False | Pro & Farm | 925,000$ | 396,429$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |
Eetu Liukas | Cleveland Monsters (CBJ) | LW | 22 | 2002-09-25 | FIN | Yes | 205 Lbs | 6 ft3 | No | No | Trade | 2025-02-17 | No | No | 2 | 2024-08-20 | False | False | Pro & Farm | 867,500$ | 371,786$ | 0$ | 0$ | No | 867,500$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien |
Jet Greaves | Cleveland Monsters (CBJ) | G | 23 | 2001-03-30 | CAN | Yes | 184 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 2 | 2024-08-27 | False | False | Pro & Farm | 775,000$ | 332,143$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
Jordan Spence | Cleveland Monsters (CBJ) | D | 23 | 2001-02-24 | CAN | No | 180 Lbs | 5 ft11 | No | No | Trade | 2024-02-19 | No | No | 1 | False | False | Pro & Farm | 750,000$ | 321,429$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |
Matthew Knies | Cleveland Monsters (CBJ) | LW/RW | 21 | 2002-10-17 | USA | Yes | 217 Lbs | 6 ft3 | No | No | Trade | 2024-12-23 | No | No | 2 | 2024-08-20 | False | False | Pro & Farm | 925,000$ | 396,429$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien |
Michael Pezzetta | Cleveland Monsters (CBJ) | C/LW | 26 | 1998-03-13 | CAN | No | 217 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | 2024-05-19 | False | False | Pro & Farm | 800,000$ | 342,857$ | 0$ | 0$ | No | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | - | 800,000$ | 800,000$ | 800,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien | |
Vasily Podkolzin | Cleveland Monsters (CBJ) | LW/RW | 23 | 2001-06-24 | RUS | Yes | 190 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | 2024-08-21 | False | False | Pro & Farm | 925,000$ | 396,429$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 600,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
13 | 24.85 | 199 Lbs | 6 ft2 | 1.69 | 849,423$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 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 |
---|
, , , , |
Gardien |
---|
#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 |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# |
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% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 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 pénalités | Mises en échec | Buts en filet désert | Blanchissages |
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 extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
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% | 0 | 0 | 0% | 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% | 0 | 0 | 0% | 0 | 0 | 0% |
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% | 0% |
Assistance PCT | 0% | 0% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
36 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
0$ | 1,104,250$ | 810,000$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 12 | 0$ | 0$ |
# |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 72 | 25 | 32 | 57 | -7 | 172 | 569 | 116 | 183 | 13.66% | 154 | 1548 | 21.50 | 6 | 3 | 9 | 51 | 0 | 0 | 0 | 0 | 3 | 1 | 0% | 1 | 0.74 | 1 | 5 | |
2 | 38 | 22 | 24 | 46 | 45 | 24 | 56 | 61 | 164 | 13.41% | 4 | 692 | 18.23 | 1 | 1 | 2 | 8 | 1 | 1 | 2 | 8 | 5 | 0 | 71.78% | 2 | 1.33 | 1 | 1 | |
3 | 63 | 8 | 18 | 26 | -5 | 47 | 247 | 53 | 66 | 12.12% | 68 | 913 | 14.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0% | 0 | 0.57 | 7 | 9 | |
4 | 6 | 5 | 4 | 9 | 4 | 0 | 3 | 19 | 43 | 11.63% | 0 | 140 | 23.36 | 2 | 1 | 3 | 8 | 0 | 0 | 0 | 1 | 2 | 0 | 78.51% | 1 | 1.28 | 0 | 1 | |
5 | 3 | 3 | 1 | 4 | 1 | 2 | 14 | 5 | 16 | 18.75% | 0 | 60 | 20.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 61.90% | 1 | 1.33 | 0 | 0 |
# |
Nom du gardien |
GP |
W |
L |
OTL |
PCT |
GAA |
MP |
PIM |
SO |
GA |
SA |
SAR |
A |
EG |
PS % |
PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | 25 | 10 | 12 | 3 | 0.925 | 1.99 | 1510 | 0 | 2 | 50 | 670 | 0 | 1 | 0 | 0.500 | 6 |
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 |
Saison régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
21 | 72 | 18 | 40 | 0 | 2 | 3 | 4 | 5 | 152 | 217 | -65 | 36 | 12 | 18 | 0 | 1 | 0 | 2 | 3 | 82 | 104 | -22 | 36 | 6 | 22 | 0 | 1 | 3 | 2 | 2 | 70 | 113 | -43 | 56 | 152 | 282 | 434 | 0 | 2 | 52 | 51 | 43 | 12 | 1935 | 647 | 602 | 648 | 68 | 2285 | 677 | 351 | 1583 | 117 | 16 | 13.68% | 144 | 22 | 84.72% | 2 | 685 | 1618 | 42.34% | 664 | 1812 | 36.64% | 373 | 1001 | 37.26% | 1540 | 1111 | 2033 | 454 | 801 | 379 |
Total Saison régulière | 72 | 18 | 40 | 0 | 2 | 3 | 4 | 5 | 152 | 217 | -65 | 36 | 12 | 18 | 0 | 1 | 0 | 2 | 3 | 82 | 104 | -22 | 36 | 6 | 22 | 0 | 1 | 3 | 2 | 2 | 70 | 113 | -43 | 56 | 152 | 282 | 434 | 0 | 2 | 52 | 51 | 43 | 12 | 1935 | 647 | 602 | 648 | 68 | 2285 | 677 | 351 | 1583 | 117 | 16 | 13.68% | 144 | 22 | 84.72% | 2 | 685 | 1618 | 42.34% | 664 | 1812 | 36.64% | 373 | 1001 | 37.26% | 1540 | 1111 | 2033 | 454 | 801 | 379 |
Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
20 | 25 | 16 | 9 | 0 | 0 | 0 | 0 | 0 | 43 | 30 | 13 | 13 | 8 | 5 | 0 | 0 | 0 | 0 | 0 | 24 | 20 | 4 | 12 | 8 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 10 | 9 | 32 | 43 | 78 | 121 | 0 | 8 | 12 | 9 | 18 | 4 | 364 | 123 | 111 | 105 | 25 | 477 | 129 | 337 | 509 | 106 | 19 | 17.92% | 145 | 13 | 91.03% | 0 | 268 | 579 | 46.29% | 317 | 724 | 43.78% | 131 | 301 | 43.52% | 644 | 456 | 635 | 181 | 305 | 154 |
Total Séries éliminatoires | 25 | 16 | 9 | 0 | 0 | 0 | 0 | 0 | 43 | 30 | 13 | 13 | 8 | 5 | 0 | 0 | 0 | 0 | 0 | 24 | 20 | 4 | 12 | 8 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 10 | 9 | 32 | 43 | 78 | 121 | 0 | 8 | 12 | 9 | 18 | 4 | 364 | 123 | 111 | 105 | 25 | 477 | 129 | 337 | 509 | 106 | 19 | 17.92% | 145 | 13 | 91.03% | 0 | 268 | 579 | 46.29% | 317 | 724 | 43.78% | 131 | 301 | 43.52% | 644 | 456 | 635 | 181 | 305 | 154 |
# |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Phillip Di Giuseppe | 25 | 16 | 7 | 23 | 9 | 28 | 56 | 50 | 81 | 19.75% | 5 | 491 | 19.66 | 6 | 4 | 10 | 20 | 0 | 0 | 0 | 0 | 3 | 2 | 54.84% | 0 | 0.94 | 0 | 0 |
2 | Chad Ruhwedel | 25 | 2 | 14 | 16 | 3 | 10 | 23 | 30 | 31 | 6.45% | 28 | 573 | 22.94 | 2 | 6 | 8 | 23 | 0 | 0 | 0 | 0 | 2 | 0 | 0% | 0 | 0.56 | 0 | 0 |
3 | Jordan Spence | 25 | 1 | 13 | 14 | 2 | 19 | 17 | 19 | 21 | 4.76% | 26 | 610 | 24.41 | 0 | 8 | 8 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0.46 | 0 | 0 |
4 | Austin Czarnik | 25 | 6 | 5 | 11 | 2 | 6 | 7 | 44 | 52 | 11.54% | 2 | 449 | 17.98 | 4 | 3 | 7 | 14 | 0 | 0 | 0 | 5 | 3 | 1 | 65.22% | 0 | 0.49 | 0 | 0 |
5 | Andreas Englund | 25 | 3 | 7 | 10 | 4 | 58 | 57 | 23 | 24 | 12.50% | 10 | 543 | 21.74 | 2 | 4 | 6 | 16 | 0 | 0 | 0 | 0 | 1 | 0 | 0% | 0 | 0.37 | 0 | 0 |
# |
Nom du gardien |
GP |
W |
L |
OTL |
PCT |
GAA |
MP |
PIM |
SO |
GA |
SA |
SAR |
A |
EG |
PS % |
PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Scott Wedgewood | 25 | 16 | 8 | 1 | 0.937 | 1.14 | 1582 | 0 | 8 | 30 | 477 | 0 | 0 | 0 | 0 | 0 |