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Connexion

Griffins
GP: 41 | W: 21 | L: 13 | OTL: 7 | P: 49
GF: 125 | GA: 127 | PP%: 35.42% | PK%: 76.38%
DG: Joel Martens | Morale : 50 | Moyenne d’équipe : 57
Prochains matchs #655 vs Wild

Centre de jeu
Bears
33-7-2, 68pts
1
6 Griffins
21-13-7, 49pts
Team Stats
W1SéquenceW2
17-4-0Fiche domicile13-7-2
16-3-2Fiche domicile8-6-5
8-1-1Derniers 10 matchs6-3-1
3.86Buts par match 3.05
2.45Buts contre par match 3.10
34.78%Pourcentage en avantage numérique35.42%
74.51%Pourcentage en désavantage numérique76.38%
Reign
24-16-2, 50pts
4
5 Griffins
21-13-7, 49pts
Team Stats
L1SéquenceW2
10-11-0Fiche domicile13-7-2
14-5-2Fiche domicile8-6-5
6-3-1Derniers 10 matchs6-3-1
3.93Buts par match 3.05
3.43Buts contre par match 3.10
26.40%Pourcentage en avantage numérique35.42%
72.73%Pourcentage en désavantage numérique76.38%
Griffins
21-13-7, 49pts
Jour 51
Wild
34-7-0, 68pts
Statistiques d’équipe
W2SéquenceL2
13-7-2Fiche domicile17-4-0
8-6-5Fiche visiteur17-3-0
6-3-110 derniers matchs7-3-0
3.05Buts par match 4.24
3.10Buts contre par match 4.24
35.42%Pourcentage en avantage numérique17.12%
76.38%Pourcentage en désavantage numérique75.00%
Griffins
21-13-7, 49pts
Jour 52
Americans
22-13-7, 51pts
Statistiques d’équipe
W2SéquenceL1
13-7-2Fiche domicile14-2-4
8-6-5Fiche visiteur8-11-3
6-3-110 derniers matchs4-3-3
3.05Buts par match 3.38
3.10Buts contre par match 3.38
35.42%Pourcentage en avantage numérique27.50%
76.38%Pourcentage en désavantage numérique76.00%
Griffins
21-13-7, 49pts
Jour 53
Moose
20-15-7, 47pts
Statistiques d’équipe
W2SéquenceW1
13-7-2Fiche domicile9-8-4
8-6-5Fiche visiteur11-7-3
6-3-110 derniers matchs6-3-1
3.05Buts par match 1.93
3.10Buts contre par match 1.93
35.42%Pourcentage en avantage numérique21.51%
76.38%Pourcentage en désavantage numérique78.82%
Meneurs d'équipe
Buts
Adam Beckman
23
Passes
Adam Beckman
24
Points
Adam Beckman
47
Plus/Moins
Braeden Bowman
7
Victoires
Brandon Halverson
21
Pourcentage d’arrêts
Brandon Halverson
0.872

Statistiques d’équipe
Buts pour
125
3.05 GFG
Tirs pour
841
20.51 Avg
Pourcentage en avantage numérique
35.4%
34 GF
Début de zone offensive
34.3%
Buts contre
127
3.10 GAA
Tirs contre
919
22.41 Avg
Pourcentage en désavantage numérique
76.4%%
30 GA
Début de la zone défensive
38.7%
Informations de l'équipe

Directeur généralJoel Martens
EntraîneurBobby Sanguinetti
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,167
Billets de saison1,500


Informations de la formation

Équipe Pro24
Équipe Mineure22
Limite contact 46 / 100
Espoirs68


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
1Adam BeckmanXX98.0075728268736262654965646358464662826202421,241,000$
2Braeden Bowman (R)X100.0083789367795655625059606855454562776102212,000,000$
3Andrew AgozzinoX99.0067657268656970645059656062454563426003512,000,000$
4Nate Danielson (R)X100.0075718568725656617560586353454560765902131,286,000$
5Xavier BourgaultX99.0073649467657377575052596155464659715902311,167,500$
6Nico Myatovic (R)X100.0078739066747379535047546251454558665802131,282,000$
7Nathan GaucherX98.0077826166836973546651546150454557755802231,107,000$
8Lucas CionaX100.0076786966797683505048476046454555605702331,283,000$
9Jean-Luc FoudyX100.0070648765656164546656475945464554565602321,220,000$
10Filip EngarasX100.007874886374494948614746624445455336530261750,000$
11Brady StonehouseX100.0074649981655154435037445942454551365302111,000,000$
12Brandon BaddockX100.0069824262825658475044455744454550395203012,000,000$
13Alex Campbell (R)X100.0074639962633937506449486046454553335202511,000,000$
14Frederic Brunet (R)X100.0078748768757886512546426239454554496102231,331,000$
15Connor CarrickX98.0067696167697478622550586055454660646003111,000,000$
16Joseph CecconiX99.008080806480555749254141623845455163570281994,000$
17Jeremy Hanzel (R)X100.0076748681755356412528395937454549515602331,280,000$
18Andy WelinskiX100.0078749260743634452536396137454549525303212,000,000$
19Andrew PerrottX100.006675456276393847253641553945454735510242950,000$
Rayé
1Cam Lund (R)X100.0067428875745953675659716325464667396102112,000,000$
2Hunter DrewX100.006778386678697356254156585345455763580271899,000$
3Jackson Edward (R)X100.0077738663745254472539406038454551385502231,278,000$
MOYENNE D’ÉQUIPE99.59747178677359615345485161464545565557
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
1Brandon Halverson100.006153669662656770696730454563806502911,000,000$
2Hunter Miska100.004548606542434951454630444447774903011,000,000$
Rayé
MOYENNE D’ÉQUIPE100.0053516381525458615757304545557957
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bobby Sanguinetti40404040404040TUR8111,000,000$


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
1Adam BeckmanGriffins (DET)LW/RW40232447-560406565105387021.90%1082620.67861414551011284342.38%5121211001.1415602522
2Braeden BowmanGriffins (DET)RW3119214071915413682284323.17%1464420.79681416390000584341.33%150196011.2401300514
3Nate DanielsonGriffins (DET)C40171936-539254067111255215.32%1280120.03471111510002633150.20%2471316100.9025104312
4Nathan GaucherGriffins (DET)C41111930-29745796261224418.03%1980619.661898391013482250.43%351119000.7407324143
5Xavier BourgaultGriffins (DET)RW4116122801210465769354223.19%2489521.84641017650004590234.85%66716000.6312101041
6Jean-Luc FoudyGriffins (DET)C3661218375223534112017.65%642211.731343240000250047.18%24837000.8502001021
7Nico MyatovicGriffins (DET)LW4187150191549724673017.39%1383220.304156550001271144.44%271117000.3600111220
8Brett ChorskeRed WingsC/LW/RW318715555173232162225.00%72999.651455270001100150.33%153135111.0001001110
9Joseph CecconiGriffins (DET)D4121113-4683043733025106.67%3995923.40123574000082200%0923000.2700312002
10Hunter DrewGriffins (DET)D3611112-91174570736631221.52%4294026.13022664000063000%01028000.2600405001
11Connor CarrickGriffins (DET)D3001111037153044266130%2860220.07011321000056000%289000.3700102010
12Frederic BrunetGriffins (DET)D272911-25325344035665.71%1865624.31112524000169000%0416000.3400131111
13Andrew AgozzinoGriffins (DET)LW25617-68026202961120.69%534513.80101280002362060.00%1074100.4100000111
14Cam LundGriffins (DET)C21246-2202524141814.29%132515.49000140111170058.93%5662000.3700000110
15Jackson EdwardGriffins (DET)D3606612010366229750%1667818.86011124000044000%0712000.1800110000
16Alec MartinezRed WingsD90550005271610170%1424627.42011118000024000%0410000.4100000000
17Jeremy HanzelGriffins (DET)D4004437511229140%103228.07011022000012000%015000.2500001000
18Lucas CionaGriffins (DET)LW41123-1239157942356182.86%1264415.7100003000061039.58%4877000.0900111001
19Andy WelinskiGriffins (DET)D320336001371210%433610.5100001011027000%003000.1800000000
20Filip EngarasGriffins (DET)C210114209146050%31858.8400006000000054.55%1103000.1122000000
21Brady StonehouseGriffins (DET)RW211011003421250.00%0833.970000300000000%001000.2400000000
22Brandon BaddockGriffins (DET)LW25000180710010%0471.900000000000000%10000000000000
23Alex CampbellGriffins (DET)C19000-100340020%1774.0900000000030061.11%181200000000000
24Andrew PerrottGriffins (DET)D21000-3205123220%622710.840000400009000%02500000000000
25Alex SuzdalevRed WingsLW11000100010000%0121.130000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne757123189312-1962130575889684128645014.63%3041221916.1434508410464322416778191346.53%1900155217320.5162526926202119
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
1Brandon HalversonGriffins (DET)41211270.8722.79241324112877465400.56523410211
2Hunter MiskaGriffins (DET)50100.7626.9886001042200000032000
Statistiques d’équipe totales ou en moyenne46211370.8672.9325002412291948540234132211


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam BeckmanGriffins (DET)LW/RW242001-05-10CANNo193 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm1,241,000$686,982$0$0$No1,241,000$--------1,241,000$--------No--------Lien
Alex CampbellGriffins (DET)C252001-02-27QCYes176 Lbs5 ft10NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$553,571$0$0$No---------------------------Lien
Andrew AgozzinoGriffins (DET)LW351991-01-03CANNo181 Lbs5 ft10NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$1,107,143$0$0$No---------------------------Lien / Lien NHL
Andrew PerrottGriffins (DET)D242001-08-24USANo216 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm950,000$525,893$0$0$No950,000$--------950,000$--------No--------Lien
Andy WelinskiGriffins (DET)D321993-04-27USANo201 Lbs6 ft1NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$1,107,143$0$0$No---------------------------Lien / Lien NHL
Brady StonehouseGriffins (DET)RW212004-08-06CANNo182 Lbs5 ft9NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$553,571$0$0$No---------------------------Lien
Braeden BowmanGriffins (DET)RW222003-06-26ONYes210 Lbs6 ft2NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$1,107,143$0$0$No---------837,500$-----------------Lien
Brandon BaddockGriffins (DET)LW301995-03-29CANNo223 Lbs6 ft3NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm2,000,000$1,107,143$0$0$No---------------------------Lien / Lien NHL
Brandon HalversonGriffins (DET)G291996-03-29USANo235 Lbs6 ft5NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$553,571$0$0$No---------------------------Lien
Cam LundGriffins (DET)C212004-06-07USAYes195 Lbs6 ft2NoNoAssign ManuallyNoNo12026-01-09FalseFalsePro & Farm2,000,000$1,107,143$0$0$No---------------------------Lien
Connor CarrickGriffins (DET)D311994-04-13USANo192 Lbs5 ft11NoNoAssign ManuallyNoNo12026-01-06FalseFalsePro & Farm1,000,000$553,571$0$0$No---------------------------Lien / Lien NHL
Filip EngarasGriffins (DET)C261999-05-16SWENo200 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$415,179$0$0$No---------------------------Lien
Frederic BrunetGriffins (DET)D222003-08-21CANYes196 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,331,000$736,804$0$0$No1,331,000$1,331,000$-------1,331,000$1,331,000$-------NoNo-------Lien
Hunter DrewGriffins (DET)D271998-10-21CANNo213 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm899,000$497,661$0$0$No---------------------------Lien
Hunter MiskaGriffins (DET)G301995-07-07USANo174 Lbs6 ft1NoNoAssign ManuallyNoNo12025-11-17FalseFalsePro & Farm1,000,000$553,571$0$0$No---------------------------Lien
Jackson EdwardGriffins (DET)D222004-02-27CANYes199 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,278,000$707,464$0$0$No1,278,000$1,278,000$-------1,278,000$1,278,000$-------NoNo-------Lien
Jean-Luc FoudyGriffins (DET)C232002-05-13CANNo177 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,220,000$675,357$0$0$No1,220,000$--------1,220,000$--------No--------Lien
Jeremy HanzelGriffins (DET)D232003-02-27CANYes200 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,280,000$708,571$0$0$No1,280,000$1,280,000$-------1,280,000$1,280,000$-------NoNo-------Lien
Joseph CecconiGriffins (DET)D281997-05-23USANo216 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm994,000$550,250$0$0$No---------------------------Lien / Lien NHL
Lucas CionaGriffins (DET)LW232003-01-08CANNo210 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,283,000$710,232$0$0$No1,283,000$1,283,000$-------1,283,000$1,283,000$-------NoNo-------Lien
Nate DanielsonGriffins (DET)C212004-09-27ABYes190 Lbs6 ft1NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,286,000$711,893$0$0$No1,286,000$1,286,000$-------1,286,000$1,286,000$-------NoNo-------Lien
Nathan GaucherGriffins (DET)C222003-11-06CANNo222 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,107,000$612,804$0$0$No1,107,000$1,107,000$-------1,107,000$1,107,000$-------NoNo-------Lien
Nico MyatovicGriffins (DET)LW212004-12-01CANYes199 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,282,000$709,679$0$0$No1,282,000$1,282,000$-------1,282,000$1,282,000$-------NoNo-------Lien
Xavier BourgaultGriffins (DET)RW232002-10-22CANNo179 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm1,167,500$646,295$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.21199 Lbs6 ft11.711,294,521$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Braeden BowmanAdam BeckmanNico Myatovic40122
2Xavier BourgaultNathan GaucherAndrew Agozzino30122
3Nathan GaucherAdam BeckmanLucas Ciona20122
4Adam BeckmanNathan GaucherXavier Bourgault10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor CarrickFrederic Brunet40122
2Joseph CecconiJeremy Hanzel30122
3Connor CarrickJoseph Cecconi20122
4Joseph CecconiAndy Welinski10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nathan GaucherBraeden BowmanXavier Bourgault60122
2Adam BeckmanAndrew AgozzinoNico Myatovic40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Frederic BrunetJoseph Cecconi60122
2Connor CarrickJeremy Hanzel40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Adam BeckmanAndrew Agozzino60122
2Xavier BourgaultNathan Gaucher40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor CarrickFrederic Brunet60122
2Andy WelinskiJoseph Cecconi40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Xavier Bourgault60122Connor CarrickJoseph Cecconi60122
2Nathan Gaucher40122Frederic BrunetAndy Welinski40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nathan GaucherAdam Beckman60122
2Andrew AgozzinoXavier Bourgault40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Frederic BrunetJeremy Hanzel60122
2Connor CarrickJoseph Cecconi40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Braeden BowmanAdam BeckmanAndrew AgozzinoConnor CarrickFrederic Brunet
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Braeden BowmanAdam BeckmanAndrew AgozzinoConnor CarrickFrederic Brunet
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Lucas Ciona, Xavier Bourgault, Nathan GaucherXavier Bourgault, Nathan GaucherXavier Bourgault
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Connor Carrick, Joseph Cecconi, Andrew PerrottJoseph CecconiJoseph Cecconi, Connor Carrick
Tirs de pénalité
Andrew Agozzino, Nathan Gaucher, Adam Beckman, Nico Myatovic, Xavier Bourgault
Gardien
#1 : Brandon Halverson, #2 : Hunter Miska


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
1Admirals11000000422110000004220000000000021.00046100018416192019827035642103143111100.00%220.00%030564147.58%34572447.65%23450646.25%694258813459994490
2Americans11000000523110000005230000000000021.0005712001841619231982703564223517133266.67%6183.33%030564147.58%34572447.65%23450646.25%694258813459994490
3Bears412001001218-621000100106420200000212-1030.375121830001841619741982703564297234461600.00%12466.67%030564147.58%34572447.65%23450646.25%694258813459994490
4Bruins1010000002-2000000000001010000002-200.00000000184161951982703564271615000%3166.67%030564147.58%34572447.65%23450646.25%694258813459994490
5Canucks1010000067-11010000067-10000000000000.0006915001841619181982703564221812263266.67%110.00%030564147.58%34572447.65%23450646.25%694258813459994490
6Comets22000000844220000008440000000000041.00081321001841619281982703564231717364375.00%6266.67%030564147.58%34572447.65%23450646.25%694258813459994490
7Condors1000000101-1000000000001000000101-110.5000000018416197198270356422052220200.00%10100.00%030564147.58%34572447.65%23450646.25%694258813459994490
8Gulls10001000431100010004310000000000021.00044800184161930198270356421581817300.00%40100.00%030564147.58%34572447.65%23450646.25%694258813459994490
9Heat11000000422000000000001100000042221.0004711001841619161982703564220422256116.67%5180.00%030564147.58%34572447.65%23450646.25%694258813459994490
10IceHogs21100000541110000003121010000023-120.5005813001841619371982703564224720473266.67%5180.00%030564147.58%34572447.65%23450646.25%694258813459994490
11Islanders1000000145-1000000000001000000145-110.50047110018416192619827035642361516134125.00%30100.00%030564147.58%34572447.65%23450646.25%694258813459994490
12Marlies320000101257100000103212200000093661.0001216280118416195119827035642371851479444.44%8275.00%030564147.58%34572447.65%23450646.25%694258813459994490
13Monsters10001000211100010002110000000000021.000224001841619101982703564241224100.00%10100.00%030564147.58%34572447.65%23450646.25%694258813459994490
14Penguins21001000532110000001011000100043141.000581301184161936198270356422591838100.00%9188.89%130564147.58%34572447.65%23450646.25%694258813459994490
15Phantoms21000001651210000016510000000000030.75069150018416194219827035642551531406466.67%30100.00%030564147.58%34572447.65%23450646.25%694258813459994490
16Reign43100000181442110000077022000000117460.7501829470018416191251982703564214140346812541.67%12466.67%130564147.58%34572447.65%23450646.25%694258813459994490
17Roadrunners1010000034-11010000034-10000000000000.000347001841619301982703564236183213200.00%6183.33%030564147.58%34572447.65%23450646.25%694258813459994490
18Rocket11000000101110000001010000000000021.000123011841619251982703564273616000%30100.00%030564147.58%34572447.65%23450646.25%694258813459994490
19Senators10000010651000000000001000001065121.00069150018416193419827035642281063254125.00%9277.78%030564147.58%34572447.65%23450646.25%694258813459994490
20Silver Knights1000000112-1000000000001000000112-110.500123001841619151982703564212692211100.00%2150.00%030564147.58%34572447.65%23450646.25%694258813459994490
21Stars20100001412-81010000029-71000000123-110.25046100018416195019827035642521834374250.00%7271.43%030564147.58%34572447.65%23450646.25%694258813459994490
22Thunderbirds40400000415-1120200000310-72020000015-400.000471100184161983198270356421455277671200.00%11281.82%030564147.58%34572447.65%23450646.25%694258813459994490
23Wild1010000036-31010000036-30000000000000.00035800184161916198270356423916162022100.00%30100.00%030564147.58%34572447.65%23450646.25%694258813459994490
24Wolf Pack11000000514000000000001100000051421.0005813001841619161982703564211336193266.67%2150.00%030564147.58%34572447.65%23450646.25%694258813459994490
25Wolves1000010034-1000000000001000010034-110.50033600184161924198270356422396184125.00%3166.67%030564147.58%34572447.65%23450646.25%694258813459994490
Total41161303225125127-22210702111716921966011145458-4490.59812518931403184161984119827035642919304623758963435.42%1273076.38%230564147.58%34572447.65%23450646.25%694258813459994490
_Since Last GM Reset41161303225125127-22210702111716921966011145458-4490.59812518931403184161984119827035642919304623758963435.42%1273076.38%230564147.58%34572447.65%23450646.25%694258813459994490
_Vs Conference26119011138187-61465001114447-31254010023740-3300.5778112420502184161957619827035642677220390453662030.30%842076.19%230564147.58%34572447.65%23450646.25%694258813459994490
_Vs Division77800112241410334001119454440000115105191.357243458021841619138198270356421023714311616743.75%29679.31%030564147.58%34572447.65%23450646.25%694258813459994490

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4149W212518931484191930462375803
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4116133225125127
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2210721117169
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
196611145458
Derniers 10 matchs
WLOTWOTL SOWSOL
630001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
963435.42%1273076.38%2
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
198270356421841619
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
30564147.58%34572447.65%23450646.25%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
694258813459994490


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
213Griffins1Thunderbirds2LSommaire du match
326Griffins6Marlies3WSommaire du match
434Rocket0Griffins1WSommaire du match
555Roadrunners4Griffins3LSommaire du match
775Phantoms3Griffins2LXXSommaire du match
992Griffins4Islanders5LXXSommaire du match
10102Griffins7Reign5WSommaire du match
11118Bears5Griffins4LXSommaire du match
12137Reign3Griffins2LSommaire du match
13149Griffins3Marlies0WSommaire du match
14163Griffins2Bears7LSommaire du match
15178Griffins4Reign2WSommaire du match
16183Comets3Griffins5WSommaire du match
18210Marlies2Griffins3WXXSommaire du match
19227Phantoms2Griffins4WSommaire du match
20248Thunderbirds4Griffins2LSommaire du match
22264Griffins0Thunderbirds3LSommaire du match
24280IceHogs1Griffins3WSommaire du match
25297Griffins0Condors1LXXSommaire du match
27312Thunderbirds6Griffins1LSommaire du match
28325Griffins2IceHogs3LSommaire du match
29344Griffins1Silver Knights2LXXSommaire du match
30354Canucks7Griffins6LSommaire du match
31367Griffins0Bruins2LSommaire du match
32384Monsters1Griffins2WXSommaire du match
34407Penguins0Griffins1WSommaire du match
35428Griffins5Wolf Pack1WSommaire du match
36439Americans2Griffins5WSommaire du match
37452Griffins4Penguins3WXSommaire du match
38470Comets1Griffins3WSommaire du match
39481Griffins3Wolves4LXSommaire du match
41501Gulls3Griffins4WXSommaire du match
42515Griffins4Heat2WSommaire du match
43534Stars9Griffins2LSommaire du match
44546Griffins2Stars3LXXSommaire du match
45561Griffins6Senators5WXXSommaire du match
46573Wild6Griffins3LSommaire du match
47594Admirals2Griffins4WSommaire du match
48610Griffins0Bears5LSommaire du match
49627Bears1Griffins6WSommaire du match
50645Reign4Griffins5WSommaire du match
51655Griffins-Wild-
52671Griffins-Americans-
53684Griffins-Moose-
54695Wolf Pack-Griffins-
56717Islanders-Griffins-
57732Griffins-Comets-
58743Griffins-Rocket-
59758Barracuda-Griffins-
61779Phantoms-Griffins-
63800Griffins-Roadrunners-
64810Bruins-Griffins-
66833Griffins-Gulls-
67845Condors-Griffins-
68862Griffins-Canucks-
69870Griffins-Eagles-
70885Bears-Griffins-
72903Checkers-Griffins-
73918Griffins-Roadrunners-
74933Griffins-Crunch-
75943Silver Knights-Griffins-
77964Griffins-Monsters-
78974Heat-Griffins-
80996Rocket-Griffins-
811008Griffins-Reign-
831027Marlies-Griffins-
841044Griffins-Admirals-
851056Griffins-Monsters-
861068Rocket-Griffins-
881090Islanders-Griffins-
891104Griffins-Barracuda-
901117Roadrunners-Griffins-
911133Griffins-Islanders-
931150Senators-Griffins-
961181Roadrunners-Griffins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
981202Griffins-Islanders-
991215Crunch-Griffins-
1001230Griffins-Thunderbirds-
1011241Eagles-Griffins-
1021249Griffins-Phantoms-
1041273Wolves-Griffins-
1051278Griffins-Phantoms-
1071302Griffins-Marlies-
1081304Griffins-Checkers-
1091313Moose-Griffins-
1101330Griffins-Marlies-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance30,78416,894
Assistance PCT69.96%76.79%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
21 2167 - 72.24% 90,135$1,982,968$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,657,531$ 3,106,850$ 3,106,850$ 1,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
27,740$ 1,211,089$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,892,833$ 62 36,668$ 2,273,416$




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