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Connexion

Griffins
GP: 4 | W: 0 | L: 4
GF: 7 | GA: 17 | PP%: 12.50% | PK%: 58.33%
DG: Robert Martens | Morale : 40 | Moyenne d’équipe : 61

Centre de jeu
Bears
7-4-0, 14pts
5
3 Griffins
0-4-0, 0pts
Team Stats
OTL2SéquenceL4
3-2-0Fiche domicile0-2-0
4-2-0Fiche domicile0-2-0
6-1-3Derniers 10 matchs0-4-0
3.36Buts par match 1.75
2.36Buts contre par match 4.25
23.33%Pourcentage en avantage numérique12.50%
83.33%Pourcentage en désavantage numérique58.33%
Bears
7-4-0, 14pts
4
2 Griffins
0-4-0, 0pts
Team Stats
OTL2SéquenceL4
3-2-0Fiche domicile0-2-0
4-2-0Fiche domicile0-2-0
6-1-3Derniers 10 matchs0-4-0
3.36Buts par match 1.75
2.36Buts contre par match 4.25
23.33%Pourcentage en avantage numérique12.50%
83.33%Pourcentage en désavantage numérique58.33%
Meneurs d'équipe
Buts
Albert Johansson
2
Pierre-Olivier JosephPasses
Pierre-Olivier Joseph
2
Points
Albert Johansson
3
Plus/Moins
Ondrej Becher
1
Victoires
Jesper Wallstedt
0
Pourcentage d’arrêts
Jesper Wallstedt
0.805

Statistiques d’équipe
Buts pour
7
1.75 GFG
Tirs pour
90
22.50 Avg
Pourcentage en avantage numérique
12.5%
1 GF
Début de zone offensive
37.7%
Buts contre
17
4.25 GAA
Tirs contre
113
28.25 Avg
Pourcentage en désavantage numérique
58.3%%
5 GA
Début de la zone défensive
41.2%
Informations de l'équipe

Directeur généralRobert Martens
EntraîneurPeter DeBoer
DivisionCentral Division
ConférenceConférence Ouest
Capitaine
Assistant #1Nate Danielson
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro32
Équipe Mineure20
Limite contact 52 / 70
Espoirs14


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
1Mikael Granlund0XXX100.006840858067729077807773677981680407803435,000,000$
2John Leonard0XX100.00547068696470676755626968576458040700271775,000$
3Jani Nyman (R)0X100.00585772617866646455616766555554040690212918,333$
4Jack Finley0XX100.00565970578564626171606165555855040670232863,333$
5Logan Morrison0XX100.00545869626470676355636066605754040670232950,000$
6Ryan Winterton (R)0XXX100.00595474656765646256616167555655040670222828,000$
7Nate Danielson (R) (A)0X100.005557676168696763706259666754520406702131,918,333$
8Brendan Brisson0XX100.00575470607268656056615861555956040660242925,000$
9Kai Uchacz0XX100.00555763597269676155596064545553040660222840,000$
10Tristen Nielsen0XX100.00555765616368676055586063606156040650261750,000$
11Ondrej Becher (R)0XXX100.00545869586767645870575862575452040640222900,000$
12Emmitt Finnie (R)0XX100.00545470556756565570555459545251040610203845,000$
13Pierre-Olivier Joseph0X100.00644091707383786740666173706959040740271825,000$
14Adam Wilsby0X100.00594682747066585741635780555858040710251842,500$
15Albert Johansson0X100.00624085686265715640625975545658040690252919,167$
16Maxwell Crozier0X100.00575566597567656241635867556157040670261925,000$
17Carson Lambos0X100.00555466596869675840585666545553040650232934,167$
18William Wallinder (R)0X100.00545469587167655840595564545754040650231925,000$
Rayé
1Elliot Desnoyers0XX100.00555568596367655855585664545754040640242854,167$
2Jakub Brabenec (R)0XX100.00545869586567655955585863605553040640222828,000$
3Cross Hanas0XXX100.00555468586566645855575864605754040640242925,000$
4Nikita Chibrikov (R)0XX100.00565472606163606056595861615655040640231925,000$
5Adam Erne0XX100.00555469557156565455545459546961040610312775,000$
6Zach Dean (R)0X100.00545470556456565555555461545553040610232863,334$
7Nolan Patrick0X100.00116661111111144040702711,200,000$
8Filip Zadina0X100.00111111111111111040602611,825,000$
9Karl Henriksson0X100.0011111111111111104060252925,000$
10Ethan Samson0X100.00555866626569675940585963545553040650222870,000$
11Leo Loof0X100.00555464566968665840595465545754040650242925,000$
12Eemil Viro0X100.00555466586467655540555462545754040630242902,500$
MOYENNE D’ÉQUIPE100.0051496456626059544854535952535004060
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
1Jaxson Stauber0100.0066646570736269676865776458040690271925,000$
2Jesper Wallstedt0100.00646868676662656862696261550406702331,350,000$
Rayé
MOYENNE D’ÉQUIPE100.006566676970626768656770635704068
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter DeBoer8487938691841CAN5736,666,666$


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
1Albert JohanssonGriffins (DET)D4213-3207241450.00%48822.241013700007000%000000.6700000000
2Pierre-Olivier JosephGriffins (DET)D4022-240656210%58922.270113700007000%000000.4500000000
3Ryan WintertonGriffins (DET)C/LW/RW41120003621250.00%04812.24000150000120030.30%3300000.8200000000
4Jani NymanGriffins (DET)RW40220406864100%26716.9100008000000033.33%300000.5900000000
5Kai UchaczGriffins (DET)C/RW4022100353130%0307.7200000000000037.04%2700001.3000000000
6Ondrej BecherGriffins (DET)C/LW/RW41121203342225.00%0307.7100000000000050.00%200001.3000000000
7Mikael GranlundGriffins (DET)C/LW/RW4011-620668290%27719.3201136000010066.67%300000.2600000000
8Tristen NielsenGriffins (DET)C/LW41010002663316.67%15914.8000000000000031.58%5700000.3400000000
9Adam WilsbyGriffins (DET)D4101-40058101210.00%58421.010004600008000%000000.2400000000
10William WallinderGriffins (DET)D4011100505040%66717.000000000004000%000000.2900000000
11Logan MorrisonGriffins (DET)C/RW4101-1004775514.29%06115.4600018000040040.74%5400000.3200000000
12John LeonardGriffins (DET)LW/RW4000-500656570%08020.19000000001120025.00%80000000000000
13Carson LambosGriffins (DET)D4000-4401021000%57117.840000000000000%00000000000000
14Brendan BrissonGriffins (DET)LW/RW4000000645020%17318.4800008000160037.50%80000000000000
15Jack FinleyGriffins (DET)C/RW4000-140537480%14812.190000000000000%10000000000000
16Maxwell CrozierGriffins (DET)D40000401252220%37518.750001600008000%00000000000000
17Nate DanielsonGriffins (DET)C4000-6004106320%27318.4300006000000051.65%910000000000000
18Emmitt FinnieGriffins (DET)C/LW4000-100202110%04812.2000000000000050.00%20000000000000
Statistiques d’équipe totales ou en moyenne7271118-3026095859037677.78%37117916.3812316710002750040.48%28900000.3100000000
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
1Jesper WallstedtGriffins (DET)40400.8055.281820016820000040000
2Jaxson StauberGriffins (DET)20000.9681.0557001310000004000
Statistiques d’équipe totales ou en moyenne60400.8504.252400017113000044000


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 Plafond 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 ErneGriffins (DET)LW/RW311995-04-20USANo212 Lbs6 ft1NoNoTrade2026-03-07YesNo22024-12-05FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien / Lien NHL
Adam WilsbyGriffins (DET)D252000-08-07SWENo187 Lbs6 ft0NoNoTrade2026-03-09NoNo1FalseFalsePro & Farm842,500$0$0$No---------------------------Lien
Albert JohanssonGriffins (DET)D252001-01-04SWENo167 Lbs6 ft0NoNoProspectNoNo22024-08-23FalseFalsePro & Farm919,167$0$0$No919,167$--------919,167$--------No--------Lien
Brendan BrissonGriffins (DET)LW/RW242001-10-22USANo198 Lbs6 ft0NoNoAssign ManuallyNoNo22025-10-21FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Carson LambosGriffins (DET)D232003-01-14CANNo196 Lbs6 ft1NoNoProspectNoNo22024-08-23FalseFalsePro & Farm934,167$0$0$No934,167$--------934,167$--------No--------Lien
Cross HanasGriffins (DET)C/LW/RW242002-01-05USANo181 Lbs6 ft1NoNoProspectNoNo22024-08-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Eemil ViroGriffins (DET)D242002-04-03FINNo183 Lbs6 ft0NoNoTrade2024-08-23NoNo22024-08-23FalseFalsePro & Farm902,500$0$0$No902,500$--------902,500$--------No--------Lien
Elliot DesnoyersGriffins (DET)LW/RW242002-01-21CANNo183 Lbs5 ft11NoNoProspectNoNo22024-08-23FalseFalsePro & Farm854,167$0$0$No854,167$--------854,167$--------No--------Lien
Emmitt FinnieGriffins (DET)C/LW202005-06-27CANYes190 Lbs6 ft1NoNoDraftNoNo32025-08-29FalseFalsePro & Farm845,000$0$0$No845,000$845,000$-------845,000$845,000$-------NoNo-------Lien
Ethan SamsonGriffins (DET)D222003-08-23CANNo181 Lbs6 ft1NoNoAssign ManuallyNoNo22025-10-21FalseFalsePro & Farm870,000$0$0$No870,000$--------870,000$--------No--------Lien
Filip ZadinaGriffins (DET)RW261999-11-27CZENo189 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,825,000$0$0$No---------------------------Lien / Lien NHL
Jack FinleyGriffins (DET)C/RW232002-09-02USANo220 Lbs6 ft5NoNoAssign ManuallyNoNo22025-10-21FalseFalsePro & Farm863,333$0$0$No863,333$--------863,333$--------No--------Lien
Jakub BrabenecGriffins (DET)C/LW222003-09-11CZEYes176 Lbs6 ft2NoNoTrade2025-10-21NoNo22025-08-29FalseFalsePro & Farm828,000$0$0$No828,000$--------828,000$--------No--------Lien
Jani NymanGriffins (DET)RW212004-07-30FINYes211 Lbs6 ft2NoNoProspectNoNo22025-08-29FalseFalsePro & Farm918,333$0$0$No918,333$--------918,333$--------No--------Lien
Jaxson StauberGriffins (DET)G271999-04-27USANo174 Lbs6 ft3NoNoTrade2026-03-09NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Jesper WallstedtGriffins (DET)G232002-11-14SWENo213 Lbs6 ft3NoNoN/ANoNo32025-09-05FalseFalsePro & Farm1,350,000$0$0$No1,350,000$1,350,000$-------1,350,000$1,350,000$-------NoNo-------Lien
John LeonardGriffins (DET)LW/RW271998-08-07USANo190 Lbs5 ft11NoNoAssign ManuallyNoNo12025-11-21FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Kai UchaczGriffins (DET)C/RW222003-06-24CANNo209 Lbs6 ft2NoNoAssign ManuallyNoNo22025-10-21FalseFalsePro & Farm840,000$0$0$No840,000$--------840,000$--------No--------Lien
Karl HenrikssonGriffins (DET)C252001-02-05SWENo176 Lbs5 ft9NoNoProspectNoNo22024-08-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Leo LoofGriffins (DET)D242002-04-25SWENo201 Lbs6 ft1NoNoAssign ManuallyNoNo22025-10-21FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Logan MorrisonGriffins (DET)C/RW232002-07-09CANNo179 Lbs6 ft0NoNoAssign ManuallyNoNo22025-10-21FalseFalsePro & Farm950,000$0$0$No950,000$--------950,000$--------No--------Lien
Maxwell CrozierGriffins (DET)D262000-04-19CANNo198 Lbs6 ft3NoNoTrade2026-03-09NoNo12025-10-21FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Mikael GranlundGriffins (DET)C/LW/RW341992-02-26FINNo184 Lbs5 ft10NoNoTrade2026-03-18YesNo32025-09-05FalseFalsePro & Farm5,000,000$0$0$No5,000,000$5,000,000$-------5,000,000$5,000,000$-------NoNo-------Lien / Lien NHL
Nate DanielsonGriffins (DET)C212004-09-27CANYes187 Lbs6 ft2NoNoDraftNoNo32025-08-29FalseFalsePro & Farm1,918,333$0$0$No1,918,333$1,918,333$-------1,918,333$1,918,333$-------NoNo-------Lien
Nikita ChibrikovGriffins (DET)LW/RW232003-02-16RUSYes169 Lbs5 ft10NoNoProspectNoNo12025-08-29FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Nolan PatrickGriffins (DET)C271998-09-19CANNo204 Lbs6 ft2NoNoN/AYesNo1FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien / Lien NHL
Ondrej BecherGriffins (DET)C/LW/RW222004-02-22CZEYes187 Lbs6 ft1NoNoDraftNoNo22025-08-29FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Pierre-Olivier JosephGriffins (DET)D271998-07-01CANNo185 Lbs6 ft2NoNoTrade2026-02-08NoNo1FalseFalsePro & Farm825,000$0$0$No---------------------------Lien NHL
Ryan WintertonGriffins (DET)C/LW/RW222003-09-04CANYes173 Lbs6 ft2NoNoTrade2025-10-21NoNo22025-08-29FalseFalsePro & Farm828,000$0$0$No828,000$--------828,000$--------No--------Lien
Tristen NielsenGriffins (DET)C/LW262000-02-23CANNo192 Lbs5 ft10NoNoTrade2025-10-21NoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------Lien
William WallinderGriffins (DET)D232002-07-28SWEYes190 Lbs6 ft4NoNoProspectNoNo12025-09-05FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Zach DeanGriffins (DET)C232003-01-04CANYes179 Lbs6 ft0NoNoTrade2025-10-21NoNo22025-09-05FalseFalsePro & Farm863,334$0$0$No863,334$--------863,334$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3224.34190 Lbs6 ft11.811,093,026$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikael GranlundNate DanielsonJohn Leonard40122
2Brendan BrissonTristen NielsenJani Nyman30122
3Emmitt FinnieLogan MorrisonJack Finley20122
4Ryan WintertonKai UchaczOndrej Becher10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephAlbert Johansson43122
2Adam WilsbyCarson Lambos34122
3William WallinderMaxwell Crozier23122
4Adam WilsbyAlbert Johansson0122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikael GranlundNate DanielsonRyan Winterton60122
2Brendan BrissonLogan MorrisonJani Nyman40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephAlbert Johansson60122
2Maxwell CrozierAdam Wilsby40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Ryan WintertonJohn Leonard60122
2Logan MorrisonBrendan Brisson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam WilsbyAlbert Johansson60122
2Maxwell CrozierPierre-Olivier Joseph40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mikael Granlund60122Pierre-Olivier JosephAlbert Johansson60122
2Logan Morrison40122Maxwell CrozierAdam Wilsby40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan WintertonJani Nyman60122
2Logan MorrisonBrendan Brisson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Adam WilsbyAlbert Johansson60122
2Maxwell CrozierPierre-Olivier Joseph40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikael GranlundNate DanielsonBrendan BrissonPierre-Olivier JosephAlbert Johansson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
John LeonardMikael GranlundJani NymanAdam WilsbyMaxwell Crozier
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brendan Brisson, Ryan Winterton, Mikael GranlundBrendan Brisson, Mikael GranlundBrendan Brisson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Albert Johansson, William Wallinder, Pierre-Olivier JosephMaxwell CrozierAlbert Johansson, William Wallinder
Tirs de pénalité
Mikael Granlund, Ryan Winterton, Logan Morrison, Nate Danielson, Brendan Brisson
Gardien
#1 : Jesper Wallstedt, #2 : Jaxson Stauber
Lignes d’attaque personnalisées en prolongation
Mikael Granlund, John Leonard, Logan Morrison, Nate Danielson, Brendan Brisson, Ryan Winterton, Jack Finley, Emmitt Finnie, Kai Uchacz, Jani Nyman
Lignes de défense personnalisées en prolongation
Adam Wilsby, Albert Johansson, Maxwell Crozier, Pierre-Olivier Joseph, William Wallinder


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
1Bears40400000717-102020000059-42020000028-600.000711180052009024293701133726958112.50%12558.33%03310930.28%5811948.74%266142.62%916196295226
Total40400000717-102020000059-42020000028-600.000711180052009024293701133726958112.50%12558.33%03310930.28%5811948.74%266142.62%916196295226
_Since Last GM Reset40400000717-102020000059-42020000028-600.000711180052009024293701133726958112.50%12558.33%03310930.28%5811948.74%266142.62%916196295226
_Vs Conference40400000717-102020000059-42020000028-600.000711180052009024293701133726958112.50%12558.33%03310930.28%5811948.74%266142.62%916196295226
_Vs Division40400000717-102020000059-42020000028-600.000711180052009024293701133726958112.50%12558.33%03310930.28%5811948.74%266142.62%916196295226

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
40L4711189011337269500
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4040000717
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000059
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000028
Derniers 10 matchs
WLOTWOTL SOWSOL
040000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
8112.50%12558.33%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
24293705200
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
3310930.28%5811948.74%266142.62%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
916196295226


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
2 - 2026-04-287Griffins1Bears3LSommaire du match
4 - 2026-04-3015Griffins1Bears5LSommaire du match
6 - 2026-05-0223Bears5Griffins3LSommaire du match
8 - 2026-05-0431Bears4Griffins2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 34,976,836$ 34,976,836$ 6,666,666$0$
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$ 5 0$ 0$




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