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Griffins
GP: 18 | W: 11 | L: 7 | OTL: 0 | P: 22
GF: 70 | GA: 71 | PP%: 25.00% | PK%: 83.02%
DG: Dan B | Morale : 50 | Moyenne d’équipe : 60
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Centre de jeu
Bruins
11-6-1, 23pts
6
FINAL
2 Griffins
11-7-0, 22pts
Team Stats
L1StreakL2
6-2-1Home Record5-4-0
5-4-0Away Record6-3-0
5-4-1Last 10 Games6-4-0
4.89Buts par match 3.89
2.22Buts contre par match 3.94
18.99%Pourcentage en avantage numérique25.00%
88.61%Pourcentage en désavantage numérique83.02%
Thunderbirds
12-6-0, 24pts
4
FINAL
3 Griffins
11-7-0, 22pts
Team Stats
W2StreakL2
5-4-0Home Record5-4-0
7-2-0Away Record6-3-0
6-4-0Last 10 Games6-4-0
3.83Buts par match 3.89
1.72Buts contre par match 3.94
15.38%Pourcentage en avantage numérique25.00%
84.13%Pourcentage en désavantage numérique83.02%
Meneurs d'équipe
Isaac RatcliffeButs
Isaac Ratcliffe
18
Passes
Chris Wideman
11
Noah GregorPoints
Noah Gregor
27
Noah GregorPlus/Moins
Noah Gregor
6
Victoires
Evan Fitzpatrick
6
Pourcentage d’arrêts
Evan Fitzpatrick
0.847

Statistiques d’équipe
Buts pour
70
3.89 GFG
Tirs pour
637
35.39 Avg
Pourcentage en avantage numérique
25.0%
14 GF
Début de zone offensive
41.8%
Buts contre
71
3.94 GAA
Tirs contre
439
24.39 Avg
Pourcentage en désavantage numérique
83.0%%
9 GA
Début de la zone défensive
32.0%
Informations de l'équipe

Directeur généralDan B
EntraîneurDominique Ducharme
DivisionNorth
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro10
Équipe Mineure21
Limite contact 31 / 50
Espoirs42


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
1Noah GregorXXX100.008266837769648161356171702561617050650253950,000$
2Brett MurrayX100.008788846988828763505962715945456750650252750,000$
3Axel Jonsson-Fjallby (R)X100.007342946564576661306362722548486650610253775,000$
4Isaac Ratcliffe (R)X100.007886606786707454505648644644445750590242813,750$
5Greg McKeggXXX100.007170747170677253664948654665655650590312800,000$
6Akil Thomas (R)XX100.006964826764525160755165616244446250580233775,000$
7David CottonX100.008075926575535450634748644644445650550263858,750$
8Travis BarronX100.006775486575525253504953585044445450540252741,667$
9Chris WidemanX100.006553537365627266255047662557575850620332800,000$
10Olli JuoleviX100.007775827475525252254940633847475450590251775,000$
Rayé
MOYENNE D’ÉQUIPE100.00756975697361665747535465425050605060
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

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# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
Rayé
MOYENNE D’ÉQUIPE 0.00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dominique Ducharme82818382726777CAN483500,000$


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
1Noah GregorGriffins (DET)C/LW/RW1817102761005033122229313.93%1136120.1161718320000414060.84%45200021.4900000441
2Isaac RatcliffeGriffins (DET)LW1818422-32410642199164418.18%2329416.3801111000003161.54%1300021.4900100412
3Greg McKeggGriffins (DET)C/LW/RW1814721-101204359112246712.50%3936420.2652722410000202170.50%32200011.1500000223
4Chris WidemanGriffins (DET)D1841115-232029132391317.39%1633118.392461125000016010.00%000000.9100000001
5Matt MartinRed WingsLW/RW104812614042284213309.52%019019.010117130000210184.62%1300001.2600000112
6Josh MahuraRed WingsD133710-26020112351013.04%1223618.22112613000014000.00%000000.8400000000
7Axel Jonsson-FjallbyGriffins (DET)LW1810100035155166.67%2432.44000921000050051.43%3500000.4600000000
8Brett MurrayGriffins (DET)LW18000120941140.00%4452.51000000000330055.56%2700000.00%00000000
Statistiques d’équipe totales ou en moyenne1316147108-4100102601744379527713.96%107186814.261410247414900001559464.27%86200051.16001001189
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
1Evan FitzpatrickRed Wings106300.8473.7749400312020000.00%01010000
Statistiques d’équipe totales ou en moyenne106300.8473.77494003120200001010000


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 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
Akil ThomasGriffins (DET)C/RW232000-01-02Yes177 Lbs5 ft11NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Lien
Axel Jonsson-FjallbyGriffins (DET)LW251998-02-10Yes170 Lbs6 ft0NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Lien / Lien NHL
Brett MurrayGriffins (DET)LW251998-07-19No236 Lbs6 ft5NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Chris WidemanGriffins (DET)D331990-01-07No183 Lbs5 ft10NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien
David CottonGriffins (DET)C261997-07-09No201 Lbs6 ft2NoNoNo3Pro & Farm858,750$858,750$0$0$No858,750$858,750$Lien
Greg McKeggGriffins (DET)C/LW/RW311992-06-17No192 Lbs6 ft0NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien / Lien NHL
Isaac RatcliffeGriffins (DET)LW241999-02-15Yes225 Lbs6 ft6NoNoNo2Pro & Farm813,750$813,750$0$0$No813,750$Lien / Lien NHL
Noah GregorGriffins (DET)C/LW/RW251998-07-28No185 Lbs6 ft0NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Olli JuoleviGriffins (DET)D251998-05-05No204 Lbs6 ft2YesNoNo1Pro & Farm775,000$775,000$0$0$NoLien / Lien NHL
Travis BarronGriffins (DET)LW251998-08-17No205 Lbs6 ft1NoNoNo2Pro & Farm741,667$741,667$0$0$No741,667$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1026.20198 Lbs6 ft12.30803,917$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Noah Gregor40122
2Greg McKegg30122
3Isaac Ratcliffe20122
4Brett MurrayNoah Gregor10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris Wideman40122
230122
320122
4Chris Wideman10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Noah Gregor60122
2Greg McKegg40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris Wideman60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Noah Gregor60122
2Greg McKegg40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris Wideman60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Noah Gregor60122Chris Wideman60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Noah Gregor60122
2Greg McKegg40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Chris Wideman60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Noah GregorChris Wideman
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Noah GregorChris Wideman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Axel Jonsson-Fjallby, Isaac Ratcliffe, Brett MurrayAxel Jonsson-Fjallby, Isaac RatcliffeBrett Murray
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
Noah Gregor, , , Greg McKegg,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
Noah Gregor, , , Greg McKegg, , , , Isaac Ratcliffe, Brett Murray, , Axel Jonsson-Fjallby
Lignes de défense personnalisées en prolongation
Chris Wideman, , , ,


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
1Bears220000001055110000005231100000053241.0001017270032201621162212421713311413416116.67%4325.00%028651056.08%20639052.82%19131959.87%482370405106196100
2Bruins2010100058-31010000026-41000100032120.500581300322016248221242171360161227600.00%60100.00%028651056.08%20639052.82%19131959.87%482370405106196100
3Canucks1010000059-41010000059-40000000000000.0005914003220162232212421713361781811100.00%4175.00%028651056.08%20639052.82%19131959.87%482370405106196100
4Checkers220000001138110000007161100000042241.000112031003220162125221242171336914376116.67%7185.71%028651056.08%20639052.82%19131959.87%482370405106196100
5Penguins30300000516-111010000014-320200000412-800.000510150032201621062212421713772819587114.29%7357.14%028651056.08%20639052.82%19131959.87%482370405106196100
6Phantoms210010001073100010004311100000064241.000101626003220162632212421713491210417342.86%5180.00%028651056.08%20639052.82%19131959.87%482370405106196100
7Sound Tigers220000001248110000003121100000093641.000122133003220162912212421713401110434375.00%50100.00%028651056.08%20639052.82%19131959.87%482370405106196100
8Thunderbirds211000006601010000034-11100000032120.5006713003220162332212421713471812289222.22%60100.00%028651056.08%20639052.82%19131959.87%482370405106196100
9Wolf Pack21100000613-71100000043110100000210-820.500611170032201623222124217136332263510220.00%90100.00%028651056.08%20639052.82%19131959.87%482370405106196100
Total1897020007071-19440100034331953010003638-2220.611701191890032201626372212421713439157124328561425.00%53983.02%028651056.08%20639052.82%19131959.87%482370405106196100
_Since Last GM Reset1897020007071-19440100034331953010003638-2220.611701191890032201626372212421713439157124328561425.00%53983.02%028651056.08%20639052.82%19131959.87%482370405106196100
_Vs Conference1897020007071-19440100034331953010003638-2220.611701191890032201626372212421713439157124328561425.00%53983.02%028651056.08%20639052.82%19131959.87%482370405106196100
_Vs Division401000001114-320100000510-52000000064200.00011152600322016281221242171310734245515213.33%120100.00%028651056.08%20639052.82%19131959.87%482370405106196100

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1822L27011918963743915712432800
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
189720007071
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
94410003433
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
95310003638
Derniers 10 matchs
WLOTWOTL SOWSOL
541000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
561425.00%53983.02%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
22124217133220162
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
28651056.08%20639052.82%19131959.87%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
482370405106196100


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
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1 - 2023-09-297Penguins4Griffins1BLSommaire du match
2 - 2023-09-3027Griffins4Checkers2AWSommaire du match
3 - 2023-10-0140Griffins2Penguins6ALSommaire du match
4 - 2023-10-0250Phantoms3Griffins4BWXSommaire du match
6 - 2023-10-0478Canucks9Griffins5BLSommaire du match
7 - 2023-10-0586Griffins6Phantoms4AWSommaire du match
9 - 2023-10-07101Wolf Pack3Griffins4BWSommaire du match
11 - 2023-10-09129Sound Tigers1Griffins3BWSommaire du match
12 - 2023-10-10142Griffins2Penguins6ALSommaire du match
13 - 2023-10-11162Checkers1Griffins7BWSommaire du match
14 - 2023-10-12182Bears2Griffins5BWSommaire du match
16 - 2023-10-14202Griffins5Bears3AWSommaire du match
17 - 2023-10-15214Griffins9Sound Tigers3AWSommaire du match
18 - 2023-10-16220Griffins2Wolf Pack10ALSommaire du match
19 - 2023-10-17232Griffins3Thunderbirds2AWSommaire du match
20 - 2023-10-18242Griffins3Bruins2AWXSommaire du match
21 - 2023-10-19254Bruins6Griffins2BLSommaire du match
23 - 2023-10-21279Thunderbirds4Griffins3BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets550
Assistance00
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$ 803,917$ 803,917$ 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