Connexion

Griffins
GP: 45 | W: 34 | L: 9 | OTL: 2 | P: 70
GF: 184 | GA: 122 | PP%: 20.59% | PK%: 79.17%
DG: Benoît Pilon | Morale : 79 | Moyenne d’équipe : 64
Prochains matchs #722 vs PenguinsF
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Wolves
17-23-5, 39pts
1
FINAL
7 Griffins
34-9-2, 70pts
Team Stats
L2StreakW2
10-11-1Home Record17-3-2
7-12-4Away Record17-6-0
5-3-2Last 10 Games7-3-0
2.38Buts par match 4.09
3.07Buts contre par match 2.71
20.16%Pourcentage en avantage numérique20.59%
81.58%Pourcentage en désavantage numérique79.17%
Griffins
34-9-2, 70pts
4
FINAL
2 Barracuda
18-23-5, 41pts
Team Stats
W2StreakL6
17-3-2Home Record12-8-2
17-6-0Away Record6-15-3
7-3-0Last 10 Games3-7-0
4.09Buts par match 3.26
2.71Buts contre par match 3.76
20.59%Pourcentage en avantage numérique25.81%
79.17%Pourcentage en désavantage numérique70.54%
Griffins
34-9-2, 70pts
2023-11-30
PenguinsF
26-15-3, 55pts
Statistiques d’équipe
W2SéquenceOTL1
17-3-2Fiche domicile12-7-3
17-6-0Fiche visiteur14-8-0
7-3-010 derniers matchs3-5-2
4.09Buts par match 3.77
2.71Buts contre par match 3.77
20.59%Pourcentage en avantage numérique30.77%
79.17%Pourcentage en désavantage numérique75.00%
Gulls
19-20-4, 42pts
2023-12-01
Griffins
34-9-2, 70pts
Statistiques d’équipe
W2SéquenceW2
13-6-3Fiche domicile17-3-2
6-14-1Fiche visiteur17-6-0
4-5-110 derniers matchs7-3-0
2.91Buts par match 4.09
3.44Buts contre par match 4.09
27.27%Pourcentage en avantage numérique20.59%
76.92%Pourcentage en désavantage numérique79.17%
Silver Knights
24-15-3, 51pts
2023-12-05
Griffins
34-9-2, 70pts
Statistiques d’équipe
W3SéquenceW2
11-10-1Fiche domicile17-3-2
13-5-2Fiche visiteur17-6-0
8-2-010 derniers matchs7-3-0
3.45Buts par match 4.09
3.14Buts contre par match 4.09
22.63%Pourcentage en avantage numérique20.59%
73.57%Pourcentage en désavantage numérique79.17%
Meneurs d'équipe
Buts
Kieffer Bellows
26
Passes
Anthony Bitetto
36
Points
Kieffer Bellows
48
Plus/Moins
Kieffer Bellows
31
Victoires
Jonas Johansson
19
Pourcentage d’arrêts
Alexander Samoilov
1

Statistiques d’équipe
Buts pour
184
4.09 GFG
Tirs pour
1483
32.96 Avg
Pourcentage en avantage numérique
20.6%
28 GF
Début de zone offensive
40.5%
Buts contre
122
2.71 GAA
Tirs contre
1338
29.73 Avg
Pourcentage en désavantage numérique
79.2%%
30 GA
Début de la zone défensive
40.0%
Informations de l'équipe

Directeur généralBenoît Pilon
EntraîneurDave Cameron
DivisionDivision Centrale
ConférenceConference 2
CapitainePhillip Digiuseppe
Assistant #1Otto Koivula
Assistant #2Jonathan Davidsson


Informations de l’aréna

Capacité3,000
Assistance2,225
Billets de saison300


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 55
Espoirs16


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
1Phillip Digiuseppe (C)X100.0063459070727587716372727077735451856603011,300,000$
2Kieffer BellowsX99.007545857272767674666476736854506686660251900,000$
3John LeonardX100.0065459773697771706968677368594968856502531,500,000$
4Dominik SimonX100.0064459471707484706569687066625759856502921,400,000$
5Matt LuffX99.0067459973727382726670707168564864856502631,550,000$
6Jonathan Davidsson (A)X99.007457717268747471637170677158546085650261750,000$
7Blake SpeersX100.0071457573696967706964657562656164856402621,100,000$
8Brian GibbonsX100.0056409771676969706370707068605534806403521,100,000$
9Otto Koivula (A)X97.007157747275747470726868686954506086640251750,000$
10Dennis RasmussenX100.00574198697568716965686671646249476463N03321,250,000$
11Ben SmithX100.005235976770656367666863676263533823610351800,000$
12Colton WhiteX100.006347907471747271456969726063506687660261750,000$
13Jan KostalekX100.0077616774707168694567687258625555746502811,100,000$
14Jonathon BlumX100.0056429570706870704567677162615038606303421,100,000$
15Peter AnderssonX100.0064459070736766684563637061454546506203211,000,000$
16Luke MartinX100.0066489071746868694564646862454568666202511,000,000$
17Kenneth JohnsonX100.007049797274686958456160665750476085600252750,000$
Rayé
1Rourke ChartierX57.5261458772687555697473656862585057686402731,200,000$
2Reid BoucherX84.5560449871707271706468697267575056166403021,100,000$
3William Bitten (R)X93.006645857268707070707170666045456084630253750,000$
4Travis Barron (R)X100.007055707071707069666767676145456019620253750,000$
5Sean WalkerX84.1866498772687690654572667363605158736502911,700,000$
6Anthony BitettoX98.5669478571727374714569697064655247736503321,250,000$
MOYENNE D’ÉQUIPE96.09654787717172726959686770645751567064
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
1Jonas Johansson100.00808279818281818384818055545982660281900,000$
2Johan Gustafsson100.007563647874818980817675666645846503111,700,000$
Rayé
1Alexander Samoilov100.00848868797764826666757547525838590262750,000$
MOYENNE D’ÉQUIPE100.0080787079787584767777775657546863
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Cameron71796985999935CAN635100,000$


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
1Kieffer BellowsGriffins (Det)LW412622483120046411924312113.54%677818.9817827100000006145.90%6100211.2301000652
2Anthony BitettoGriffins (Det)D41436402418024284219389.52%4485420.8528102193000065000.00%000000.9400000112
3Colton WhiteGriffins (Det)D458303813255434277314110.39%55101422.55459381210002107100.00%000000.7500100413
4Dominik SimonGriffins (Det)RW451224361680233999246412.12%457012.6802203000001232.35%3400011.2600000130
5Matt LuffGriffins (Det)RW451518331812037581254310612.00%880717.9425718115000001342.11%5700000.8222000321
6Sean WalkerGriffins (Det)D36627338120473955263610.91%5081122.532683199011086110.00%000000.8100000220
7Jonathan DavidssonGriffins (Det)RW45151833283408147129319511.63%682418.3221321111000054050.00%5600000.8003000223
8Rourke ChartierGriffins (Det)C281319321600104966155519.70%452318.702461068000013248.83%68600001.2200000211
9Phillip DigiuseppeGriffins (Det)LW431418321916036481293910310.85%683319.37268171030002333256.56%12200000.7702000324
10Otto KoivulaGriffins (Det)C4510213119175616575176613.33%868715.280002501111153050.45%88400000.9003001114
11Jan KostalekGriffins (Det)D458223028635822767173911.94%6194020.914373298000193210.00%000000.6400010032
12William BittenGriffins (Det)C449202920180607811721657.69%386019.57347191140001481049.13%114400000.6700000110
13Brian GibbonsGriffins (Det)LW4111819100083064204917.19%552012.71000010000021248.39%3100000.7311000113
14Kenneth JohnsonGriffins (Det)D4558132344088122641319.23%4277117.1500027000038120.00%000000.3400000011
15Jonathon BlumGriffins (Det)D335611181009202872617.86%3861718.71112727000072000.00%000000.3600000111
16John LeonardGriffins (Det)LW459110-280112457164515.79%84129.171011610131171045.28%5300000.4801000002
17Andy AndreoffRedWingsC282798601140359395.71%135912.83112637000051044.88%45900000.5011000010
18Luke MartinGriffins (Det)D212791014011121971310.53%1535717.0200031100007000.00%000000.5000000000
19Reid BoucherGriffins (Det)LW83585205101351023.08%110613.35112412000001066.67%600001.5000000020
20Blake SpeersGriffins (Det)RW45235-46030263910315.13%93618.030001200031141056.25%3200000.2801000000
21Dennis RasmussenGriffins (Det)C33235-100318252198.00%22256.83000000002330051.53%29500000.4400000000
22Peter AnderssonGriffins (Det)D41233200232033.33%37318.370000100006000.00%000000.8200000000
23Travis BarronGriffins (Det)LW2000020301100.00%0115.660000000000000.00%000000.00%00000000
24Ben SmithGriffins (Det)C2000000000010.00%084.0400000000000045.45%1100000.00%00000000
Statistiques d’équipe totales ou en moyenne810182325507310337157297551483409107512.27%3791333316.46285482260115312315956321649.02%393100220.76415111283029
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
1Jonas JohanssonGriffins (Det)2719420.9082.66155800697490000.66732715210
2Johan GustafssonGriffins (Det)2015500.9092.73114221525740000.833121823202
3Alexander SamoilovGriffins (Det)10001.0000.00%23000150000.00%007000
Statistiques d’équipe totales ou en moyenne4834920.9102.672724211211338000154545412


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 Waiver Possible Contrat Type Salaire actuel Plafond 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
Alexander SamoilovGriffins (Det)G261997-01-27No220 Lbs6 ft2NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Anthony BitettoGriffins (Det)D331990-07-15No203 Lbs6 ft1NoNoNoNo2Pro & Farm1,250,000$0$0$No1,250,000$Lien
Ben SmithGriffins (Det)C351988-07-11No207 Lbs5 ft10NoNoNoNo1Farm Only800,000$0$0$NoLien
Blake SpeersGriffins (Det)RW261997-01-02No185 Lbs5 ft11NoNoNoNo2Pro & Farm1,100,000$0$0$No1,100,000$Lien
Brian GibbonsGriffins (Det)LW351988-02-26No174 Lbs5 ft8NoNoNoNo2Pro & Farm1,100,000$0$0$No1,100,000$Lien
Colton WhiteGriffins (Det)D261997-05-03No187 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Dennis RasmussenGriffins (Det)C331990-07-03No211 Lbs6 ft3YesNoNoNo2Pro & Farm1,250,000$0$0$No1,250,000$Lien
Dominik SimonGriffins (Det)RW291994-08-08No190 Lbs5 ft11NoNoNoNo2Pro & Farm1,400,000$0$0$No1,400,000$Lien
Jan KostalekGriffins (Det)D281995-02-17No181 Lbs6 ft1NoNoNoNo1Pro & Farm1,100,000$0$0$NoLien
Johan GustafssonGriffins (Det)G311992-02-28No199 Lbs6 ft2NoNoNoNo1Pro & Farm1,700,000$0$0$NoLien
John LeonardGriffins (Det)LW251998-08-07No185 Lbs5 ft11NoNoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$Lien
Jonas JohanssonGriffins (Det)G281995-09-19No205 Lbs6 ft4NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Jonathan DavidssonGriffins (Det)RW261997-03-12No185 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Jonathon BlumGriffins (Det)D341989-01-20No194 Lbs6 ft0NoNoNoNo2Pro & Farm1,100,000$0$0$No1,100,000$Lien
Kenneth JohnsonGriffins (Det)D251998-05-28No223 Lbs6 ft4NoNoNoNo2Pro & Farm750,000$0$0$No750,000$Lien
Kieffer BellowsGriffins (Det)LW251998-06-10No194 Lbs6 ft1NoNoNoNo1Pro & Farm900,000$0$0$NoLien
Luke MartinGriffins (Det)D251998-09-20No218 Lbs6 ft2NoNoNoNo1Pro & Farm1,000,000$0$0$NoLien
Matt LuffGriffins (Det)RW261997-05-05No196 Lbs6 ft2NoNoNoNo3Pro & Farm1,550,000$0$0$No1,550,000$1,550,000$Lien
Otto KoivulaGriffins (Det)C251998-09-01No220 Lbs6 ft5NoNoNoNo1Pro & Farm750,000$0$0$NoLien
Peter AnderssonGriffins (Det)D321991-04-13No203 Lbs6 ft3NoNoNoNo1Pro & Farm1,000,000$0$0$NoLien
Phillip DigiuseppeGriffins (Det)LW301993-10-09No200 Lbs6 ft0NoNoNoNo1Pro & Farm1,300,000$0$0$NoLien
Reid Boucher (sur la masse salariale)Griffins (Det)LW301993-09-08No194 Lbs5 ft10NoNoNoNo2Pro & Farm1,100,000$0$0$Yes1,100,000$Lien
Rourke Chartier (sur la masse salariale)Griffins (Det)C271996-04-03No190 Lbs5 ft11NoNoNoNo3Pro & Farm1,200,000$0$0$Yes1,200,000$1,200,000$Lien
Sean Walker (sur la masse salariale)Griffins (Det)D291994-11-13No196 Lbs6 ft0NoNoNoNo1Pro & Farm1,700,000$0$0$YesLien
Travis BarronGriffins (Det)LW251998-08-17Yes205 Lbs6 ft1NoNoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Lien
William Bitten (sur la masse salariale)Griffins (Det)C251998-07-10Yes180 Lbs5 ft11NoNoNoNo3Pro & Farm750,000$0$0$Yes750,000$750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2628.42198 Lbs6 ft11.731,084,615$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Phillip DigiuseppeMatt Luff33014
2Kieffer BellowsOtto KoivulaJonathan Davidsson33014
3John LeonardDennis RasmussenDominik Simon25023
4Brian GibbonsBen SmithBlake Speers9131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonathon BlumColton White33041
2Peter AnderssonJan Kostalek33041
3Kenneth JohnsonLuke Martin31041
4Jan KostalekColton White3032
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Phillip DigiuseppeMatt Luff50005
2Kieffer BellowsOtto KoivulaJonathan Davidsson50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonathon BlumColton White55014
2Luke MartinJan Kostalek45014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Blake Speers50041
2Otto KoivulaJohn Leonard50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Colton WhiteKenneth Johnson50050
2Jonathon BlumJan Kostalek50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Blake Speers50050Colton WhiteJonathon Blum50050
2John Leonard50050Kenneth JohnsonJan Kostalek50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Kieffer Bellows50023
2Jonathan DavidssonPhillip Digiuseppe50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Peter AnderssonColton White50041
2Jonathon BlumJan Kostalek50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kieffer BellowsJonathan DavidssonDominik SimonJan KostalekColton White
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kieffer BellowsJonathan DavidssonDominik SimonColton WhiteJan Kostalek
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kieffer Bellows, Jonathan Davidsson, John LeonardJonathan Davidsson, Blake SpeersJonathan Davidsson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Colton White, Jan Kostalek, Jonathon BlumColton WhiteColton White, Jan Kostalek
Tirs de pénalité
Phillip Digiuseppe, Jonathan Davidsson, Otto Koivula, Blake Speers, Matt Luff
Gardien
#1 : Jonas Johansson, #2 : Johan Gustafsson


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
1Admirals11000000532110000005320000000000021.0005914006167508424975044633429121019200.00%50100.00%0766159248.12%764157348.57%39776651.83%10687331063341594295
2Barracuda3200100014862100100010641100000042261.0001427410061675081074975044633489191240400.00%5180.00%0766159248.12%764157348.57%39776651.83%10687331063341594295
3BruinsF11000000413000000000001100000041321.0004590061675083249750446334219610100.00%30100.00%0766159248.12%764157348.57%39776651.83%10687331063341594295
4Canucks4300001024131121000010128422000000125781.0002441650061675081404975044633413142326620525.00%15380.00%1766159248.12%764157348.57%39776651.83%10687331063341594295
5Condors31200000810-2110000004312020000047-320.3338152300616750884497504463348716203811327.27%100100.00%0766159248.12%764157348.57%39776651.83%10687331063341594295
6Crunch11000000321000000000001100000032121.00036900616750827497504463344156134125.00%30100.00%0766159248.12%764157348.57%39776651.83%10687331063341594295
7Eagles11000000321000000000001100000032121.00035800616750834497504463342261115300.00%2150.00%0766159248.12%764157348.57%39776651.83%10687331063341594295
8Gulls321000001275110000005142110000076140.66712233500616750888497504463347818264010330.00%12466.67%0766159248.12%764157348.57%39776651.83%10687331063341594295
9Icehogs21001000633100010002111100000042241.00061016006167508584975044633453146317114.29%30100.00%0766159248.12%764157348.57%39776651.83%10687331063341594295
10Iowa Wild21100000862000000000002110000086220.5008142200616750871497504463346016838400.00%4175.00%0766159248.12%764157348.57%39776651.83%10687331063341594295
11Islanders11000000817110000008170000000000021.0008142200616750833497504463343264175240.00%20100.00%0766159248.12%764157348.57%39776651.83%10687331063341594295
12Marlies10000010431000000000001000001043121.000459006167508374975044633438144212150.00%2150.00%0766159248.12%764157348.57%39776651.83%10687331063341594295
13Monsters1000010023-11000010023-10000000000010.500246006167508174975044633431810132150.00%5180.00%0766159248.12%764157348.57%39776651.83%10687331063341594295
14Moose1010000046-2000000000001010000046-200.00048120061675082049750446334391522122150.00%10460.00%0766159248.12%764157348.57%39776651.83%10687331063341594295
15PenguinsF1000000134-11000000134-10000000000010.5003690061675083949750446334381925125120.00%4250.00%0766159248.12%764157348.57%39776651.83%10687331063341594295
16Reign201010006601010000001-11000100065120.500610160061675086249750446334631622306116.67%11372.73%0766159248.12%764157348.57%39776651.83%10687331063341594295
17Roadrunners22000000826110000004041100000042241.00081321016167508714975044633442132237300.00%9277.78%0766159248.12%764157348.57%39776651.83%10687331063341594295
18SenatorsF11000000431110000004310000000000021.00047110061675083549750446334316416300.00%20100.00%0766159248.12%764157348.57%39776651.83%10687331063341594295
19Silver Knights211000008621010000003-31100000083520.500815230061675088049750446334491112381000.00%6266.67%0766159248.12%764157348.57%39776651.83%10687331063341594295
20StarsF3200100011830000000000032001000118361.00011193000616750898497504463341004322637114.29%7185.71%0766159248.12%764157348.57%39776651.83%10687331063341594295
21Thunderbirds32100000131032110000011921100000021140.667132336006167508105497504463348426225513538.46%10280.00%0766159248.12%764157348.57%39776651.83%10687331063341594295
22Wolf Pack11000000523110000005230000000000021.00057120061675083549750446334296219300.00%10100.00%0766159248.12%764157348.57%39776651.83%10687331063341594295
23Wolves11000000716110000007160000000000021.000713200061675084449750446334225416200.00%20100.00%0766159248.12%764157348.57%39776651.83%10687331063341594295
24Wranglers43100000141223300000013941010000013-260.750142640006167508124497504463341293427707228.57%11281.82%0766159248.12%764157348.57%39776651.83%10687331063341594295
Total45289041211841226222143021119558372314602010896425700.77818432550901616750814834975044633413383793397291362820.59%1443079.17%1766159248.12%764157348.57%39776651.83%10687331063341594295
_Since Last GM Reset45289041211841226222143021119558372314602010896425700.77818432550901616750814834975044633413383793397291362820.59%1443079.17%1766159248.12%764157348.57%39776651.83%10687331063341594295
_Vs Conference3622804110142994317103021106847211912502000745222550.76414225439601616750811814975044633410472942625931092220.18%1152380.00%1766159248.12%764157348.57%39776651.83%10687331063341594295
_Vs Division154101100584018521011002213910200000036279110.367581011590161675084994975044633442914512327041819.51%501178.00%0766159248.12%764157348.57%39776651.83%10687331063341594295

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4570W21843255091483133837933972901
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
452894121184122
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2214321119558
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2314620108964
Derniers 10 matchs
WLOTWOTL SOWSOL
730000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1362820.59%1443079.17%1
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
497504463346167508
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
766159248.12%764157348.57%39776651.83%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10687331063341594295


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
1 - 2023-08-253Wranglers4Griffins5BWSommaire du match
4 - 2023-08-2825Griffins5StarsF4AWSommaire du match
6 - 2023-08-3039Griffins3Iowa Wild4ALSommaire du match
8 - 2023-09-0155Canucks5Griffins8BWSommaire du match
9 - 2023-09-0269Griffins2Condors3ALSommaire du match
11 - 2023-09-0484Condors3Griffins4BWSommaire du match
14 - 2023-09-07104Griffins3Eagles2AWSommaire du match
16 - 2023-09-09117PenguinsF4Griffins3BLXXSommaire du match
18 - 2023-09-11136Griffins4StarsF3AWXSommaire du match
20 - 2023-09-13152Roadrunners0Griffins4BWSommaire du match
22 - 2023-09-15167Griffins2Thunderbirds1AWSommaire du match
23 - 2023-09-16177Griffins4Icehogs2AWSommaire du match
25 - 2023-09-18191Barracuda2Griffins5BWSommaire du match
28 - 2023-09-21213Icehogs1Griffins2BWXSommaire du match
30 - 2023-09-23220Griffins1Wranglers3ALSommaire du match
32 - 2023-09-25235Griffins4Gulls1AWSommaire du match
34 - 2023-09-27249Admirals3Griffins5BWSommaire du match
36 - 2023-09-29263Griffins8Silver Knights3AWSommaire du match
38 - 2023-10-01281Gulls1Griffins5BWSommaire du match
40 - 2023-10-03295Griffins2Condors4ALSommaire du match
42 - 2023-10-05312Thunderbirds5Griffins4BLSommaire du match
44 - 2023-10-07329Griffins6Reign5AWXSommaire du match
46 - 2023-10-09345Barracuda4Griffins5BWXSommaire du match
48 - 2023-10-11359Griffins7Canucks2AWSommaire du match
51 - 2023-10-14378Wolf Pack2Griffins5BWSommaire du match
53 - 2023-10-16388Griffins4Marlies3AWXXSommaire du match
55 - 2023-10-18405Griffins3Crunch2AWSommaire du match
56 - 2023-10-19415SenatorsF3Griffins4BWSommaire du match
59 - 2023-10-22440Canucks3Griffins4BWXXSommaire du match
61 - 2023-10-24456Griffins3Gulls5ALSommaire du match
64 - 2023-10-27472Wranglers2Griffins4BWSommaire du match
66 - 2023-10-29484Griffins5Canucks3AWSommaire du match
68 - 2023-10-31497Griffins5Iowa Wild2AWSommaire du match
70 - 2023-11-02509Monsters3Griffins2BLXSommaire du match
74 - 2023-11-06538Thunderbirds4Griffins7BWSommaire du match
77 - 2023-11-09560Griffins2StarsF1AWSommaire du match
79 - 2023-11-11570Islanders1Griffins8BWSommaire du match
81 - 2023-11-13591Griffins4Moose6ALSommaire du match
82 - 2023-11-14600Wranglers3Griffins4BWSommaire du match
85 - 2023-11-17618Griffins4BruinsF1AWSommaire du match
86 - 2023-11-18631Reign1Griffins0BLSommaire du match
90 - 2023-11-22657Griffins4Roadrunners2AWSommaire du match
91 - 2023-11-23666Silver Knights3Griffins0BLSommaire du match
94 - 2023-11-26689Wolves1Griffins7BWSommaire du match
95 - 2023-11-27701Griffins4Barracuda2AWSommaire du match
98 - 2023-11-30722Griffins-PenguinsF-
99 - 2023-12-01729Gulls-Griffins-
103 - 2023-12-05756Silver Knights-Griffins-
105 - 2023-12-07773Griffins-Roadrunners-
107 - 2023-12-09786Icehogs-Griffins-
109 - 2023-12-11799Griffins-Rocket-
111 - 2023-12-13818Monsters-Griffins-
112 - 2023-12-14828Griffins-Barracuda-
115 - 2023-12-17847Griffins-Checkers-
116 - 2023-12-18859StarsF-Griffins-
119 - 2023-12-21872Griffins-Checkers-
121 - 2023-12-23889Comets-Griffins-
122 - 2023-12-24899Griffins-Wranglers-
125 - 2023-12-27918Eagles-Griffins-
128 - 2023-12-30944Islanders-Griffins-
130 - 2024-01-01957Griffins-Monsters-
132 - 2024-01-03973Eagles-Griffins-
134 - 2024-01-05985Griffins-Eagles-
135 - 2024-01-06993Griffins-Thunderbirds-
138 - 2024-01-091014Reign-Griffins-
140 - 2024-01-111029Griffins-Reign-
142 - 2024-01-131047Roadrunners-Griffins-
144 - 2024-01-151062Griffins-Phantoms-
145 - 2024-01-161071Griffins-Firebirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2024-01-191086Bears-Griffins-
152 - 2024-01-231109Condors-Griffins-
155 - 2024-01-261133Americans-Griffins-
160 - 2024-01-311165PenguinsF-Griffins-
163 - 2024-02-031189Admirals-Griffins-
166 - 2024-02-061213Griffins-Monsters-
168 - 2024-02-081226StarsF-Griffins-
170 - 2024-02-101242Griffins-Icehogs-
172 - 2024-02-121252Griffins-Silver Knights-
175 - 2024-02-151263Iowa Wild-Griffins-
176 - 2024-02-161274Griffins-Admirals-
179 - 2024-02-191294Iowa Wild-Griffins-
181 - 2024-02-211306Griffins-Admirals-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3520
Assistance34,89514,062
Assistance PCT79.31%63.92%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
19 2225 - 74.18% 99,033$2,178,718$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,454,705$ 2,345,000$ 2,345,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,402,483$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,881,620$ 87 13,434$ 1,168,758$




Griffins Leaders statistiques des joueurs (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 des joueurs (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