Connexion

Griffins
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 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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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralSimon Thérien
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure15
Limite contact 41 / 60
Espoirs13


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
1Dylan Cozens (R)0XX100.006352808472728674787670662558587250002111,744,167$
2Juho Lammikko (R)0XX100.00774493727263855684605977255858665000263750,000$
3Morgan Barron (R)0XXX100.008346907283566757615856657546466250002321,775,000$
4Henrik Borgstrom (R)0XXX100.006542877574575667535658722549496250002441,000,000$
5Pavel Dorofeyev (R)0XX100.00696384726369706550596762644444665000212925,000$
6Aidan Dudas (R)0X100.00675791655763665569505658534444595000222791,667$
7Michael Amadio0X100.00715491737462676141617267256262695000263762,500$
8Lukas Reichel (R)0XX100.005540997564656168535955622545456150002041,337,500$
9Jansen Harkins0XX100.00695293676854775857555965256162625000253750,000$
10Joey Anderson0X100.00756989766966676550566866655050685000241925,000$
11Zack MacEwen0XXX100.00869961708154805940585668255959625000251995,833$
12Noah Gregor0XXX100.00845587776969816636696471255858705000231850,000$
13Jonatan Berggren (R)0XXX100.00756989696957566580656165584444655000214925,000$
14Philipp Kurashev0XXX100.00654293767063886544675964255858655000221925,000$
15Simon Holmstrom (R)0X100.00817595637563646150615767544444635000211925,000$
16Janis Moser (R)0X100.00694288776576596825605085254747655000222925,000$
17Braden Schneider (R)0X100.007958927577676255255548722547476150002041,325,000$
18Dennis Cholowski0X100.00654293777367626325544769255757605000242900,000$
19Alec Regula (R)0X100.00794577707875646725394978254545625000212894,167$
20Philippe Myers0X100.008446868081666960254948752559596150002542,550,000$
21Victor Mete0X100.00634196786465606425544782256363625000242735,000$
22Seth Barton (R)0X100.00807493677441405025434164394444535000221832,500$
23Gustav Lindstrom0X100.00734389757269705925544778255555615000231925,000$
24Justin Holl0X100.00845683748080885925634887256364665000301675,000$
Rayé
MOYENNE D’ÉQUIPE100.0073548873726469624558567035535363500
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 SPÂgeContratSalaire
1Lukas Dostal (R)100.0059526567636255636261304444595000212910,833$
2Justus Annunen (R)100.00474151824848505351513044444950002221,050,000$
Rayé
MOYENNE D’ÉQUIPE100.005347587556555358575630444454500
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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 restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Aidan DudasGriffins (DET)C222000-06-15Yes162 Lbs5 ft8NoNoNo2Pro & Farm791,667$791,667$791,667$791,667$0$0$No791,667$Lien
Alec RegulaGriffins (DET)D212000-08-05Yes208 Lbs6 ft4NoNoNo2Pro & Farm894,167$894,167$894,167$894,167$0$0$No894,167$Lien
Braden SchneiderGriffins (DET)D202001-09-20Yes209 Lbs6 ft2NoNoNo4Pro & Farm1,325,000$1,325,000$1,325,000$1,325,000$0$0$No1,325,000$1,325,000$1,325,000$
Dennis CholowskiGriffins (DET)D241998-02-15No197 Lbs6 ft2NoNoNo2Pro & Farm900,000$900,000$900,000$900,000$0$0$No900,000$Lien
Dylan CozensGriffins (DET)C/RW212001-02-09Yes188 Lbs6 ft3NoNoNo1Pro & Farm1,744,167$1,744,167$1,744,167$1,744,167$0$0$NoLien
Gustav LindstromGriffins (DET)D231998-10-20No190 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Henrik BorgstromGriffins (DET)C/LW/RW241997-08-06Yes199 Lbs6 ft3NoNoNo4Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$No1,000,000$1,000,000$1,000,000$Lien
Janis MoserGriffins (DET)D222000-06-06Yes172 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$
Jansen HarkinsGriffins (DET)C/LW251997-05-23No182 Lbs6 ft1NoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Joey AndersonGriffins (DET)RW241998-06-19No190 Lbs5 ft11NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Jonatan BerggrenGriffins (DET)C/LW/RW212000-07-16Yes194 Lbs5 ft11NoNoNo4Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$925,000$
Juho LammikkoGriffins (DET)C/LW261996-01-29Yes191 Lbs6 ft2NoNoNo3Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$Lien
Justin HollGriffins (DET)D301992-01-30No210 Lbs6 ft4NoNoNo1Pro & Farm675,000$675,000$675,000$675,000$0$0$NoLien
Justus AnnunenGriffins (DET)G222000-03-11Yes207 Lbs6 ft3NoNoNo2Pro & Farm1,050,000$1,050,000$450,000$450,000$0$0$No1,050,000$Lien
Lukas DostalGriffins (DET)G212000-06-22Yes174 Lbs6 ft2NoNoNo2Pro & Farm910,833$910,833$450,000$450,000$0$0$No910,833$Lien
Lukas ReichelGriffins (DET)LW/RW202002-05-17Yes170 Lbs6 ft0NoNoNo4Pro & Farm1,337,500$1,337,500$1,337,500$1,337,500$0$0$No1,337,500$1,337,500$1,337,500$
Michael AmadioGriffins (DET)C261996-05-13No204 Lbs6 ft1NoNoNo3Pro & Farm762,500$762,500$762,500$762,500$0$0$No762,500$762,500$Lien
Morgan BarronGriffins (DET)C/LW/RW231998-12-02Yes220 Lbs6 ft4NoNoNo2Pro & Farm1,775,000$1,775,000$1,775,000$1,775,000$0$0$No1,775,000$Lien
Noah GregorGriffins (DET)C/LW/RW231998-07-28No185 Lbs6 ft0NoNoNo1Pro & Farm850,000$850,000$850,000$850,000$0$0$NoLien
Pavel DorofeyevGriffins (DET)LW/RW212000-10-26Yes167 Lbs6 ft1NoNoNo2Pro & Farm925,000$925,000$450,000$450,000$0$0$No925,000$Lien
Philipp KurashevGriffins (DET)C/LW/RW221999-10-12No190 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Philippe MyersGriffins (DET)D251997-01-25No210 Lbs6 ft5NoNoNo4Pro & Farm2,550,000$2,550,000$2,550,000$2,550,000$0$0$No2,550,000$2,550,000$2,550,000$Lien
Seth BartonGriffins (DET)D221999-08-18Yes196 Lbs6 ft3NoNoNo1Pro & Farm832,500$832,500$832,500$832,500$0$0$No
Simon HolmstromGriffins (DET)RW212001-05-24Yes202 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$925,000$925,000$0$0$NoLien
Victor MeteGriffins (DET)D241998-06-07No184 Lbs5 ft9NoNoNo2Pro & Farm735,000$735,000$735,000$735,000$0$0$No735,000$Lien
Zack MacEwenGriffins (DET)C/LW/RW251996-07-08No205 Lbs6 ft3NoNoNo1Pro & Farm995,833$995,833$1,329,166$1,329,166$0$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2623.00193 Lbs6 ft22.151,042,468$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
135122
2Zack MacEwen30122
3Jansen Harkins25122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
135122
2Victor Mete30122
325122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Zack MacEwen40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Victor Mete40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Victor Mete40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122Victor Mete40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Victor Mete40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jansen Harkins, , Jansen Harkins,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 : Lukas Dostal
Lignes d’attaque personnalisées en prolongation
, , , , , , , , , ,
Lignes de défense personnalisées en prolongation
, , , ,


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
TotalDomicileVisiteur
# 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 pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
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 matchs 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%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel 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 entraineurs
0$ 2,710,417$ 2,590,168$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Griffins Leaders statistiques (saison régulière)

# 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

Griffins Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Griffins Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Griffins Leaders statistiques (séries éliminatoires)

# 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

Griffins Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA