GRAND RAPIDS Griffins
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Justin Guitard | Morale : 99 | Moyenne d’équipe : 68
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Meneurs d'équipe

Statistiques d’équipe
Buts pour
0
nan GFG
Tirs pour
0
nan Avg
Pourcentage en avantage numérique
nan%
0 GF
Début de zone offensive
nan%
Buts contre
0
nan GAA
Tirs contre
0
nan Avg
Pourcentage en désavantage numérique
nan%
0 GA
Début de la zone défensive
nan%
Information d’équipe

Directeur généralJustin Guitard
EntraîneurSteve Yzerman
DivisionFrenette
ConférenceConference A
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistancenan
Billets de saison300


Information formation

Équipe Pro24
Équipe Mineure19
Limite contact 43 / 55
Espoirs8


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique52-23-5 (0.650%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)6-7
Stanley Cup0


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
1Trevor MooreXXX100.007235926867859066636766756771664299720255900,000$
2Marcus SorensenXX100.0066398669677784685667647068776949997102831,600,000$
3Michael RasmussenXXX100.008362796498837166756862666463658699710215900,000$
4Ryan PoehlingX100.0078359367808386657763626867636581997102141,200,000$
5Kristian VesalainenXX100.005735926585818470586762616863668199700211900,000$
6Keegan KolesarX100.008876796784777262636661586267646599690234900,000$
7Ryan MacInnisXX100.006335876186798362746360576169667299680242850,000$
8Nicholas MerkleyX100.007835916269827865636862556667647699680232750,000$
9Rasmus Kupari (R)X100.005935916674848267746063566561638299670204750,000$
10Nolan Foote (R)X100.005835956483708165596463576561638099670194750,000$
11Jeffrey Truchon-Viel (R)X100.005965725874878957535656555865635999650234750,000$
12Timothy Gettinger (R)X100.006935686696515266506060506050505699610222750,000$
13Victor MeteX100.0058368976688582733071636852666871997202231,000,000$
14Evan BouchardX100.005835957182848072306962645263628699710202750,000$
15Luke SchennX100.009285646285677261306757705581735499700306800,000$
16Christian FolinX100.008452745987716657306158605578703499670294800,000$
17Guillaume BriseboisX100.005035956075727059305956644867646599640234900,000$
18Ryan Merkley (R)X100.005739856366778259306052564861638299630204750,000$
Rayé
1Greg McKeggXXX100.007936906573778362756364706477695599710281750,000$
2Chase PearsonX100.006935916378818661766259645867645699680232750,000$
3Justin KirklandX100.007155715980747958646256595769656599660244850,000$
4Nate SchnarrX100.006837825879878257705956605663626699660212750,000$
MOYENNE D’ÉQUIPE100.00694485647978796456646062606765679968
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
1Christopher Gibson100.00778988847675777675777677835899710
2Garret Sparks100.00718583847069717069717075814299670
Rayé
MOYENNE D’ÉQUIPE100.0074878684737274737274737682509969
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Steve Yzerman62626262696960CAN571300,000$


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 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
Chase PearsonGRAND RAPIDS Griffins (DET)C2323/08/1997No86 Kg188 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Christian FolinGRAND RAPIDS Griffins (DET)D2909/02/1991No93 Kg193 CMNoNoNo4Pro & Farm800,000$800,000$800,000$800,000$0$0$No800,000$800,000$800,000$Lien
Christopher GibsonGRAND RAPIDS Griffins (DET)G2727/12/1992No99 Kg188 CMNoNoNo5Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$750,000$Lien
Evan BouchardDETROIT Red WingsD2020/10/1999No88 Kg191 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$750,000$750,000$No750,000$Lien
Garret SparksGRAND RAPIDS Griffins (DET)G2728/06/1993No91 Kg191 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$Lien
Greg McKeggGRAND RAPIDS Griffins (DET)C/LW/RW2817/06/1992No88 Kg183 CMNoNoNo1Pro & Farm750,000$750,000$750,000$750,000$0$0$NoLien
Guillaume BriseboisGRAND RAPIDS Griffins (DET)D2321/07/1997No80 Kg188 CMNoNoNo4Pro & Farm900,000$900,000$900,000$900,000$0$0$No900,000$900,000$900,000$Lien
Jeffrey Truchon-VielGRAND RAPIDS Griffins (DET)LW2328/01/1997Yes90 Kg183 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Justin KirklandGRAND RAPIDS Griffins (DET)LW2402/08/1996No83 Kg191 CMNoNoNo4Pro & Farm850,000$850,000$850,000$850,000$0$0$No850,000$850,000$850,000$Lien
Keegan KolesarGRAND RAPIDS Griffins (DET)RW2308/04/1997No99 Kg188 CMNoNoNo4Pro & Farm900,000$900,000$900,000$900,000$0$0$No900,000$900,000$900,000$Lien
Kristian VesalainenGRAND RAPIDS Griffins (DET)LW/RW2101/06/1999No94 Kg191 CMNoNoNo1Pro & Farm900,000$900,000$750,000$750,000$0$0$NoLien
Luke SchennGRAND RAPIDS Griffins (DET)D3002/11/1989No102 Kg188 CMNoNoNo6Pro & Farm800,000$800,000$800,000$800,000$0$0$No800,000$800,000$800,000$800,000$800,000$Lien
Marcus SorensenGRAND RAPIDS Griffins (DET)LW/RW2807/04/1992No80 Kg180 CMNoNoNo3Pro & Farm1,600,000$1,600,000$1,600,000$1,600,000$0$0$No1,600,000$1,600,000$Lien
Michael RasmussenGRAND RAPIDS Griffins (DET)C/LW/RW2117/04/1999No104 Kg198 CMNoNoNo5Pro & Farm900,000$900,000$750,000$750,000$0$0$No900,000$900,000$900,000$900,000$Lien
Nate SchnarrGRAND RAPIDS Griffins (DET)C2125/02/1999No82 Kg191 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Nicholas MerkleyGRAND RAPIDS Griffins (DET)RW2323/05/1997No88 Kg178 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Nolan FooteGRAND RAPIDS Griffins (DET)LW1929/11/2000Yes89 Kg191 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Rasmus KupariGRAND RAPIDS Griffins (DET)C2015/03/2000Yes83 Kg185 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Ryan MacInnisGRAND RAPIDS Griffins (DET)C/LW2414/02/1996No91 Kg193 CMNoNoNo2Pro & Farm850,000$850,000$850,000$850,000$0$0$No850,000$Lien
Ryan MerkleyGRAND RAPIDS Griffins (DET)D2014/08/2000Yes77 Kg180 CMNoNoNo4Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$750,000$750,000$
Ryan PoehlingGRAND RAPIDS Griffins (DET)C2103/01/1999No90 Kg188 CMNoNoNo4Pro & Farm1,200,000$1,200,000$1,200,000$1,200,000$0$0$No1,200,000$1,200,000$1,200,000$Lien
Timothy GettingerGRAND RAPIDS Griffins (DET)LW2214/04/1998Yes100 Kg198 CMNoNoNo2Pro & Farm750,000$750,000$750,000$750,000$0$0$No750,000$Lien
Trevor MooreGRAND RAPIDS Griffins (DET)C/LW/RW2531/03/1995No84 Kg178 CMNoNoNo5Pro & Farm900,000$900,000$750,000$750,000$0$0$No900,000$900,000$900,000$900,000$Lien
Victor MeteDETROIT Red WingsD2207/06/1998No84 Kg175 CMNoNoNo3Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$No1,000,000$1,000,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2423.5090 Kg188 CM3.38858,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
131122
2Ryan MacInnis26122
323122
4Ryan MacInnisNicholas Merkley20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
131122
2Christian Folin26122
3Guillaume Brisebois23122
420122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
155122
2Ryan MacInnis45122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Christian Folin45122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Christian Folin45122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
15512255122
245122Christian Folin45122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
155122
245122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
155122
2Christian Folin45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Ryan MacInnis, , Ryan MacInnis
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Guillaume Brisebois, , Guillaume Brisebois
Tirs de pénalité
, , , ,
Gardien
#1 : Garret Sparks, #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , Ryan MacInnis, Ryan MacInnis, , , ,
Lignes de défense personnalisées en prolongation
, , Christian Folin, , Guillaume Brisebois


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
40 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,885,000$ 1,840,000$ 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$




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
Saison régulière
36804523055203421801624021120430016191704024110122018189921093425999414614411279829899481000101930217460854013461834625.14%2283285.96%81534246762.18%1304240154.31%771125061.68%219216351701505937493
Total Saison régulière804523055203421801624021120430016191704024110122018189921093425999414614411279829899481000101930217460854013461834625.14%2283285.96%81534246762.18%1304240154.31%771125061.68%219216351701505937493
Séries éliminatoires
361367000002730-362400000512-774300000221841227487501107913751171171261537311012422149816.33%59788.14%022544151.02%22944651.35%10919157.07%3262283129616383
Total Séries éliminatoires1367000002730-362400000512-774300000221841227487501107913751171171261537311012422149816.33%59788.14%022544151.02%22944651.35%10919157.07%3262283129616383