Griffins
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Simon Thérien | Morale : 50 | Moyenne d'Équipe : N/A
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
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
10textAny 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 SPÂgeContratSalaire
1Christoffer EhnXXX100.00764398647056835755545674255757635000242925,000$
2David Pope (R)X100.007570886070474845503847604544445250002531,437,500$
3Michael AmadioXX100.00614194737164857174625962255758645000242925,000$
4Gage QuinneyXX100.00797394627373766580606569625151675000242902,500$
5Henrik BorgstromXX100.00787193847176815873525866554949645000222925,000$
6Jansen HarkinsX100.00614194676857825726635858255353615000232925,000$
7Jonathan Ang (R)X100.00686185606174795771565359504444585000223910,833$
8Zack MacEwenXX100.008999686680547258445680612545457150002331,995,833$
9Matt PuempelXX100.00777583647573756750636569625555685000272675,000$
10Noah Gregor (R)XXX100.00834490776856755836576055254646635000213850,000$
11Philipp Kurashev (R)X100.00777092667064665974575764544444625000203925,000$
12Dominic TurgeonXX100.00807397637380875670505667535353625000241900,000$
13Dennis CholowskiX100.00634194776477878025524863255555615000222894,166$
14Philippe MyersX100.00814582807671826025584965255353635000232678,889$
15Victor MeteX100.00634188816568826025514974256060623500221870,000$
16Tyler MyersX100.008056798189839169255650795375776646003011,000,000$
17Gustav Lindstrom (R)X100.00774475727070686125454774254545595000213925,000$
18Alexander Yelesin (R)X100.009847996869596658253947572544445750002411,250,000$
19Joe HickettsX100.00696188666175815525544061384949565000241635,000$
Rayé
1Joe Morrow (R)X100.00717172517151524825394159394444505000271650,000$
2Chad Krys (R)X100.00736786676757604725374159394444515000223925,000$
MOYENNE D'ÉQUIPE100.0075598869716675594452546538515161490
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
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
10textAny 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
1Matt Murray100.0061777474616169636461825960655000
2Sam Montembeault100.0053696578574953555953754545565000
Rayé
MOYENNE D'ÉQUIPE100.005773707659556159625779525361500
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Randy Carlyle77797176938751CAN6534,500,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP 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
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Nom du Gardien Nom de l'ÉquipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Alexander YelesinGriffins (DET)D241996-02-07Yes192 Lbs5 ft11NoNoNo1Pro & Farm1,250,000$1,000,000$0$0$NoLien
Chad KrysGriffins (DET)D221998-04-10Yes185 Lbs5 ft11NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Christoffer EhnGriffins (DET)C/LW/RW241996-04-05No181 Lbs6 ft3NoNoNo2Pro & Farm925,000$450,000$0$0$No925,000$Lien
David PopeGriffins (DET)LW251994-09-27Yes187 Lbs6 ft2NoNoNo3Pro & Farm1,437,500$1,437,500$0$0$No1,437,500$1,437,500$
Dennis CholowskiGriffins (DET)D221998-02-15No170 Lbs6 ft0NoNoNo2Pro & Farm894,166$450,000$0$0$No894,166$Lien
Dominic TurgeonGriffins (DET)C/LW241996-02-24No196 Lbs6 ft2NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien
Gage QuinneyGriffins (DET)C/LW241995-07-29No201 Lbs6 ft0NoNoNo2Pro & Farm902,500$715,000$0$0$No715,000$Lien
Gustav LindstromGriffins (DET)D211998-10-20Yes187 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Henrik BorgstromGriffins (DET)C/LW221997-08-06No185 Lbs6 ft3NoNoNo2Pro & Farm925,000$450,000$0$0$No925,000$Lien
Jansen HarkinsGriffins (DET)C231997-05-23No182 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Joe HickettsGriffins (DET)D241996-05-04No175 Lbs5 ft8NoNoNo1Pro & Farm635,000$635,000$0$0$NoLien
Joe MorrowGriffins (DET)D271992-12-09Yes196 Lbs6 ft0NoNoNo1Pro & Farm650,000$650,000$0$0$NoLien
Jonathan AngGriffins (DET)C221998-01-31Yes165 Lbs5 ft11NoNoNo3Pro & Farm910,833$910,833$0$0$No910,833$910,833$
Matt MurrayGriffins (DET)G261994-05-25No178 Lbs6 ft4NoNoNo3Pro & Farm3,800,000$3,750,000$0$0$No3,750,000$3,750,000$Lien
Matt PuempelGriffins (DET)LW/RW271993-01-24No205 Lbs6 ft1NoNoNo2Pro & Farm675,000$675,000$0$0$No675,000$Lien
Michael AmadioGriffins (DET)C/RW241996-05-13No190 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Noah GregorGriffins (DET)C/LW/RW211998-07-27Yes185 Lbs6 ft0NoNoNo3Pro & Farm850,000$850,000$0$0$No850,000$850,000$
Philipp KurashevGriffins (DET)C201999-10-12Yes192 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Philippe MyersGriffins (DET)D231997-01-25No196 Lbs6 ft5NoNoNo2Pro & Farm678,889$678,889$0$0$No678,889$Lien
Sam MontembeaultGriffins (DET)G231996-10-30No192 Lbs6 ft3NoNoNo3Pro & Farm708,750$708,750$0$0$No708,750$708,750$Lien
Tyler MyersGriffins (DET)D301990-01-31No229 Lbs6 ft8NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Victor MeteGriffins (DET)D221998-06-07No184 Lbs5 ft10NoNoNo1Pro & Farm870,000$870,000$0$0$NoLien
Zack MacEwenGriffins (DET)C/RW231996-07-08No205 Lbs6 ft3NoNoNo3Pro & Farm1,995,833$1,329,166$0$0$No995,833$995,833$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2323.61189 Lbs6 ft12.131,071,020$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael AmadioChristoffer Ehn35122
2Dominic TurgeonHenrik BorgstromNoah Gregor30122
3Jansen Harkins25122
4Michael AmadioHenrik Borgstrom10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiPhilippe Myers35122
2Gustav LindstromJoe Hicketts30122
325122
4Dennis CholowskiPhilippe Myers10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael AmadioChristoffer Ehn60122
2Dominic TurgeonHenrik BorgstromNoah Gregor40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiPhilippe Myers60122
2Gustav LindstromJoe Hicketts40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Michael Amadio60122
2Henrik BorgstromChristoffer Ehn40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiPhilippe Myers60122
2Gustav LindstromJoe Hicketts40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Dennis CholowskiPhilippe Myers60122
2Michael Amadio40122Gustav LindstromJoe Hicketts40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Michael Amadio60122
2Henrik BorgstromChristoffer Ehn40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiPhilippe Myers60122
2Gustav LindstromJoe Hicketts40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael AmadioChristoffer EhnDennis CholowskiPhilippe Myers
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael AmadioChristoffer EhnDennis CholowskiPhilippe Myers
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jansen Harkins, , Dominic TurgeonJansen Harkins, Dominic Turgeon
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , Gustav Lindstrom, Gustav Lindstrom
Tirs de Pénalité
, Michael Amadio, Henrik Borgstrom, Christoffer Ehn, Dominic Turgeon
Gardien
#1 : , #2 :


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# 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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%0
Tirs en 1e PériodeTirs en 2e PériodeTirs en 3e PériodeTirs en 4e PériodeButs en 1e PériodeButs en 2e PériodeButs en 3e PériodeButs en 4e Période
00000000
Mises en Jeu
Gagnées en Zone OffensiveTotal en Zone Offensive% Gagnées en Zone Offensive Gagnées en Zone DéfensiveTotal en Zone Défensive% Gagnées en Zone DéfensiveGagnées en Zone NeutreTotal en Zone Neutre% Gagnées en Zone Neutre
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


Derniers Match Joués
Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
JourMatch Équipe Visiteuse Score Équipe Locale Score ST OT SO RI Lien



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,463,347$ 2,208,514$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
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
202082314401222206240-3441211501112116104124110290011090136-4672206356562017567615184956062765420173852187413674726714.19%3946882.74%21187231651.25%1025222246.13%645121852.96%194013722045599964472
Total Saison Régulière82314401222206240-3441211501112116104124110290011090136-4672206356562017567615184956062765420173852187413674726714.19%3946882.74%21187231651.25%1025222246.13%645121852.96%194013722045599964472