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Griffins
GP: 10 | W: 4 | L: 4 | OTL: 2 | P: 10
GF: 36 | GA: 38 | PP%: 29.63% | PK%: 77.14%
DG: Henri Babin | Morale : 47 | Moyenne d’équipe : 63
Prochains matchs #166 vs StarsF

Centre de jeu
Griffins
4-4-2, 10pts
6
3 Canucks
3-6-0, 6pts
Team Stats
L1SéquenceL2
2-2-0Fiche domicile2-3-0
2-2-2Fiche domicile1-3-0
4-4-2Derniers 10 matchs3-6-0
3.60Buts par match 2.44
3.80Buts contre par match 4.00
29.63%Pourcentage en avantage numérique28.00%
77.14%Pourcentage en désavantage numérique78.79%
Icehogs
6-2-1, 13pts
4
2 Griffins
4-4-2, 10pts
Team Stats
W1SéquenceL1
3-1-0Fiche domicile2-2-0
3-1-1Fiche domicile2-2-2
6-2-1Derniers 10 matchs4-4-2
3.22Buts par match 3.60
2.56Buts contre par match 3.80
33.33%Pourcentage en avantage numérique29.63%
66.67%Pourcentage en désavantage numérique77.14%
StarsF
8-2-0, 16pts
2025-09-14
Griffins
4-4-2, 10pts
Statistiques d’équipe
L1SéquenceL1
3-2-0Fiche domicile2-2-0
5-0-0Fiche visiteur2-2-2
8-2-010 derniers matchs4-4-2
3.90Buts par match 3.60
2.30Buts contre par match 3.60
36.36%Pourcentage en avantage numérique29.63%
72.00%Pourcentage en désavantage numérique77.14%
Griffins
4-4-2, 10pts
2025-09-16
StarsF
8-2-0, 16pts
Statistiques d’équipe
L1SéquenceL1
2-2-0Fiche domicile3-2-0
2-2-2Fiche visiteur5-0-0
4-4-210 derniers matchs8-2-0
3.60Buts par match 3.90
3.80Buts contre par match 3.90
29.63%Pourcentage en avantage numérique36.36%
77.14%Pourcentage en désavantage numérique72.00%
Griffins
4-4-2, 10pts
2025-09-18
Roadrunners
8-2-0, 16pts
Statistiques d’équipe
L1SéquenceW2
2-2-0Fiche domicile3-1-0
2-2-2Fiche visiteur5-1-0
4-4-210 derniers matchs8-2-0
3.60Buts par match 3.80
3.80Buts contre par match 3.80
29.63%Pourcentage en avantage numérique29.03%
77.14%Pourcentage en désavantage numérique70.00%
Meneurs d'équipe
Buts
Matt Rempe
7
Passes
John Leonard
7
Points
John Leonard
11
Plus/Moins
Jake Christiansen
8
Victoires
Alexander Samoilov
2
Pourcentage d’arrêts
Nico Daws
0.917

Statistiques d’équipe
Buts pour
36
3.60 GFG
Tirs pour
295
29.50 Avg
Pourcentage en avantage numérique
29.6%
8 GF
Début de zone offensive
37.8%
Buts contre
38
3.80 GAA
Tirs contre
312
31.20 Avg
Pourcentage en désavantage numérique
77.1%%
8 GA
Début de la zone défensive
40.7%
Informations de l'équipe

Directeur généralHenri Babin
EntraîneurDave Cameron
DivisionDivision Centrale
ConférenceConference 2
CapitaineDonovan Sebrango
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure23
Limite contact 47 / 56
Espoirs15


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
1Matt Rempe0X96.0079737083807174757966657059534874496602411,000,000$
2Dominik Kahun0XX98.9057459971687288716772707067785942366603121,550,000$
3Marko Dano0X99.0058459771717373706367677164635038516303121,000,000$
4Christian Thomas0XX100.005845997068737567576565676348452645610341900,000$
5Brett Bulmer0XXX100.0061459569766865695865657063474526456103411,000,000$
6Seth Griffith20XX100.0060459670686971685965676865544830476103311,000,000$
7Mark Arcobello0X100.0058449869676962666463626560595514446103811,000,000$
8Max Comtois0XX100.006654687070699164666364656460605847610272600,000$
9Vasily Atanasov (R)0X100.005446857465707068706570686645457045610233750,000$
10Travis Barron0XXX100.007352687071666567646466666049475444600283500,000$
11Martin Rysavy (R)0XX100.008155626773555561585963635945457042580233750,000$
12Donovan Sebrango (C)0X100.007665717273777770456969726248456651650242750,000$
13Jake Christiansen (R)0X100.006645917269697869456762715660456050640261900,000$
14Luke Martin0X100.0065469273767170714565667160544758396402711,200,000$
15Andrew Nielsen0X100.007146887178696968456462656046454645620291900,000$
16Brycen Martin0X100.006348917173696667456263656148454242610301800,000$
17Calle Andersson0X100.006144936975676268456263676146453443610321800,000$
18Martin Schreiber (R)0X100.007151657269707065456565686245457045610233750,000$
Rayé
1Jasper Weatherby0XXX96.0061459376777882727772686766685358466702811,200,000$
2John Leonard0XX93.0061459675717876757468727565705558506702811,200,000$
3Colton White0X84.5360489275727777714569687260755458396702911,200,000$
MOYENNE D’ÉQUIPE98.38654986727270726958666668625549504563
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
1Nico Daws0100.00828282828082818082818247486652650252750,000$
2Alexander Samoilov098.00848264797769847171787351565047610292700,000$
Rayé
1Carl Lindbom0100.00615858766162626262625845517045520232650,000$
MOYENNE D’ÉQUIPE99.3376746879737176717274714852624859
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Cameron71836790999921CAN662100,000$


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
1John LeonardGriffins (Det)LW/RW947116007143461711.76%319822.062248200000170144.65%15900001.1100000110
2Matt RempeGriffins (Det)C10731014031123142322.58%219619.630226200000101146.67%1500001.0200000130
3Jonathan DavidssonRedWingsLW/RW872946027121941636.84%217021.282132171012181042.86%13300111.0600000200
4Jasper WeatherbyGriffins (Det)C/LW/RW62573003101341315.38%113723.000111140001140056.34%7100001.0100000010
5Jake ChristiansenGriffins (Det)D10167880111371914.29%1321121.11011214000020000%000000.6600000011
6Dominik KahunGriffins (Det)LW/RW82576000141461714.29%012115.2400013011050156.52%9200001.1500000000
7Donovan SebrangoGriffins (Det)D10066011516919380%1221421.450111020011030000%000000.5600001000
8Lucas EdmondsGriffins (Det)LW/RW10415-3601061861522.22%118418.481012170000180045.00%4000000.5401000100
9Luke MartinGriffins (Det)D101451407613267.69%1017917.9401128000017000%000000.5600000001
10Marko DanoGriffins (Det)C9224-1202141851411.11%316418.33000070000120042.00%5000000.4801000000
11Trevor CarrickGriffins (Det)D8134-914010591811.11%1217421.83123414000119000%000000.4600000000
12Sean MaloneGriffins (Det)C8044-540313262120%013617.1201127000180048.61%14400000.5800000000
13Martin SchreiberGriffins (Det)D5134-1607373414.29%29218.531234800001100%000000.8600000000
14Colton WhiteGriffins (Det)D51344006454620.00%99919.89101311000012000%000000.8000000011
15Christian ThomasGriffins (Det)LW/RW7123-72024134127.69%111115.8901100000010062.50%800000.5400000000
16Blake SpeersGriffins (Det)LW/RW9033-440914162180%113414.99011210000080048.48%6600000.4401000000
17Seth GriffithGriffins (Det)LW/RW61230000381312.50%06611.0800000000000044.44%900000.9000000000
18Max ComtoisGriffins (Det)LW/RW8022020365020%0587.2800002000000052.08%4800000.6900000000
19Andrew NielsenGriffins (Det)D7022-420875010%1013519.2900013000016000%000000.3000000000
20Travis BarronGriffins (Det)C/LW/RW4101-1001041125.00%0266.6400001000131042.11%1900000.7500000000
21Brycen MartinGriffins (Det)D2011-100114000%23417.220001300001000%000000.5800000000
22Brett BulmerGriffins (Det)C/LW/RW6000000000100%010.320000000000000%00000000000000
23Calle AnderssonGriffins (Det)D3000100490010%85618.680000000001000%00000000000000
24Mark ArcobelloGriffins (Det)C4000-200046010%0338.3500000000000047.62%420000000000000
25Vasily AtanasovGriffins (Det)C6000-200211020%0183.03000000000000100.00%30000000000000
Statistiques d’équipe totales ou en moyenne1783666102-67551701842956020912.20%92296016.63816245120612362434348.16%89900110.6903001573
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
1Nico DawsGriffins (Det)52020.9172.6227520121440000.667346001
2Alexander SamoilovGriffins (Det)62400.8564.3633000241670010064000
Statistiques d’équipe totales ou en moyenne114420.8843.56606203631100131010001


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 ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer 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
Alexander SamoilovGriffins (Det)G291997-01-27RUSNo220 Lbs6 ft2NoNoN/ANoNo22025-05-28FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Lien
Andrew NielsenGriffins (Det)D291996-11-13CANNo230 Lbs6 ft4NoNoFree Agent2025-12-10NoNo12026-08-28FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Brett BulmerGriffins (Det)C/LW/RW341992-04-26CANNo212 Lbs6 ft4NoNoFree AgentNoNo12026-08-28FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Brycen MartinGriffins (Det)D301996-05-09CANNo195 Lbs6 ft2NoNoFree AgentNoNo12026-08-28FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Calle AnderssonGriffins (Det)D321994-05-16SWENo211 Lbs6 ft2NoNoFree AgentNoNo12026-08-28FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Carl LindbomGriffins (Det)G232003-05-20SWENo185 Lbs6 ft1NoNoFree AgentNoNo22025-08-27FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------Lien
Christian ThomasGriffins (Det)LW/RW341992-05-26CANNo180 Lbs5 ft9NoNoFree AgentNoNo12026-08-28FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Colton White (sur la masse salariale)Griffins (Det)D291997-05-03CANNo187 Lbs6 ft1NoNoN/ANoNo12026-05-12FalseFalsePro & Farm1,200,000$0$0$Yes---------------------------Lien
Dominik KahunGriffins (Det)LW/RW311995-07-02DEUNo175 Lbs5 ft11NoNoFree AgentNoNo22025-07-08FalseFalsePro & Farm1,550,000$0$0$No1,550,000$--------1,550,000$--------No--------Lien
Donovan SebrangoGriffins (Det)D242002-01-12CANNo221 Lbs6 ft2NoNoProspectNoNo22025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Jake ChristiansenGriffins (Det)D261999-09-12CANYes199 Lbs6 ft0NoNoFree AgentNoNo12026-05-07FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Jasper WeatherbyGriffins (Det)C/LW/RW281998-01-22USANo216 Lbs6 ft4NoNoFree AgentNoNo12026-05-12FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
John Leonard (sur la masse salariale)Griffins (Det)LW/RW281998-08-07USANo185 Lbs5 ft11NoNoN/ANoNo12026-05-12FalseFalsePro & Farm1,200,000$0$0$Yes---------------------------Lien
Luke MartinGriffins (Det)D271998-09-20USANo218 Lbs6 ft2NoNoN/ANoNo12024-05-29FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Mark ArcobelloGriffins (Det)C381988-08-12USANo172 Lbs5 ft8NoNoFree AgentNoNo12026-08-27FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Marko DanoGriffins (Det)C311994-11-30AUTNo201 Lbs5 ft11NoNoFree Agent2024-10-14NoNo22025-07-11FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Martin RysavyGriffins (Det)LW/RW232003-03-06CZEYes218 Lbs6 ft3NoNoProspectNoNo32026-06-18FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Martin SchreiberGriffins (Det)D232002-10-31SWEYes179 Lbs6 ft2NoNoProspectNoNo32026-06-18FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Matt RempeGriffins (Det)C242002-06-29CANNo241 Lbs6 ft7NoNoFree AgentNoNo12026-05-12FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Max ComtoisGriffins (Det)LW/RW271999-01-08CANNo215 Lbs6 ft2NoNoFree AgentNoNo22026-05-12FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------Lien
Nico DawsGriffins (Det)G252000-12-22GERNo205 Lbs6 ft4NoNoProspectNoNo22025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Seth GriffithGriffins (Det)LW/RW331993-01-04CANNo185 Lbs5 ft9NoNoFree AgentNoNo12026-08-27FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien
Travis BarronGriffins (Det)C/LW/RW281998-08-17CANNo205 Lbs6 ft1NoNoN/ANoNo32026-05-12FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------Lien
Vasily AtanasovGriffins (Det)C232002-09-25RUSYes148 Lbs5 ft10NoNoProspectNoNo32026-06-18FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2428.29200 Lbs6 ft11.63910,417$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marko DanoBlake SpeersVasily Atanasov32023
2Matt RempeDominik Kahun31023
3Lucas EdmondsSean MaloneChristian Thomas28032
4Dominik KahunSean Malone9023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke MartinJake Christiansen33041
2Andrew NielsenCalle Andersson33041
3Donovan SebrangoMartin Schreiber30041
4Donovan SebrangoLuke Martin4131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marko DanoDominik KahunSean Malone50014
2Lucas EdmondsMatt Rempe50014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Donovan SebrangoLuke Martin50032
2Andrew NielsenJake Christiansen50032
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Lucas Edmonds50041
2Sean MaloneMatt Rempe50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Luke MartinJake Christiansen50032
2Andrew NielsenDonovan Sebrango50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Lucas Edmonds50050Donovan SebrangoAndrew Nielsen50140
2Sean Malone50050Jake ChristiansenLuke Martin50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Lucas Edmonds50023
2Sean MaloneMatt Rempe50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Donovan SebrangoLuke Martin50041
2Andrew NielsenJake Christiansen50041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sean MaloneMatt RempeDonovan SebrangoLuke Martin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sean MaloneMatt RempeDonovan SebrangoLuke Martin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Sean Malone, Lucas Edmonds, Lucas Edmonds, Sean MaloneLucas Edmonds
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Donovan Sebrango, Jake Christiansen, Luke MartinDonovan SebrangoDonovan Sebrango, Jake Christiansen
Tirs de pénalité
, Sean Malone, Lucas Edmonds, Marko Dano, Matt Rempe
Gardien
#1 : Alexander Samoilov, #2 : Nico Daws


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
1Canucks11000000633000000000001100000063321.000611170016118138104989151776133133.33%3166.67%016133847.63%17836448.90%9419248.96%2281522427613766
2Condors1010000024-2000000000001010000024-200.0002460016118120104989152758174125.00%4250.00%016133847.63%17836448.90%9419248.96%2281522427613766
3Gulls1000010012-1000000000001000010012-110.500123001611813310498915359421200.00%20100.00%016133847.63%17836448.90%9419248.96%2281522427613766
4Icehogs1010000024-21010000024-20000000000000.00024610161181341049891527119202150.00%2150.00%016133847.63%17836448.90%9419248.96%2281522427613766
5Iowa Wild1010000035-21010000035-20000000000000.0003690016118128104989152981020200.00%4175.00%016133847.63%17836448.90%9419248.96%2281522427613766
6Reign10001000431000000000001000100043121.0004812001611812310498915338693133.33%30100.00%016133847.63%17836448.90%9419248.96%2281522427613766
7Roadrunners11000000541110000005410000000000021.000591400161181311049891535101421100.00%7271.43%116133847.63%17836448.90%9419248.96%2281522427613766
8StarsF1010000045-1000000000001010000045-100.000471100161181301049891544114194125.00%2150.00%016133847.63%17836448.90%9419248.96%2281522427613766
9Thunderbirds21000001981110000004221000000156-130.75091524001611815810498915652316306350.00%80100.00%016133847.63%17836448.90%9419248.96%2281522427613766
Total1034011013638-2422000001415-1612011012223-1100.50036661021016118129510498915312927717027829.63%35877.14%116133847.63%17836448.90%9419248.96%2281522427613766
_Since Last GM Reset1034011013638-2422000001415-1612011012223-1100.50036661021016118129510498915312927717027829.63%35877.14%116133847.63%17836448.90%9419248.96%2281522427613766
_Vs Conference1034011013638-2422000001415-1612011012223-1100.50036661021016118129510498915312927717027829.63%35877.14%116133847.63%17836448.90%9419248.96%2281522427613766
_Vs Division611000012326-3411000001415-120000001911-230.2502341641016118118110498915200635311015533.33%23578.26%116133847.63%17836448.90%9419248.96%2281522427613766

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1010L13666102295312927717010
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
103411013638
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42200001415
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
61211012223
Derniers 10 matchs
WLOTWOTL SOWSOL
341101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
27829.63%35877.14%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
10498915161181
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
16133847.63%17836448.90%9419248.96%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2281522427613766


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 - 2025-08-2510Thunderbirds2Griffins4WSommaire du match
2 - 2025-08-2618Griffins5Thunderbirds6LXXSommaire du match
4 - 2025-08-2835Griffins4Reign3WXSommaire du match
5 - 2025-08-2940Griffins1Gulls2LXSommaire du match
8 - 2025-09-0165Griffins2Condors4LSommaire du match
9 - 2025-09-0278Iowa Wild5Griffins3LSommaire du match
12 - 2025-09-0599Roadrunners4Griffins5WSommaire du match
14 - 2025-09-07111Griffins4StarsF5LSommaire du match
17 - 2025-09-10134Griffins6Canucks3WSommaire du match
18 - 2025-09-11141Icehogs4Griffins2LSommaire du match
21 - 2025-09-14166StarsF-Griffins-
23 - 2025-09-16173Griffins-StarsF-
25 - 2025-09-18192Griffins-Roadrunners-
27 - 2025-09-20205Roadrunners-Griffins-
29 - 2025-09-22223Griffins-Iowa Wild-
31 - 2025-09-24235Griffins-StarsF-
32 - 2025-09-25244Admirals-Griffins-
35 - 2025-09-28265Icehogs-Griffins-
37 - 2025-09-30281Griffins-Icehogs-
40 - 2025-10-03301Monsters-Griffins-
42 - 2025-10-05312Griffins-Reign-
44 - 2025-10-07326Checkers-Griffins-
46 - 2025-10-09345Griffins-Roadrunners-
48 - 2025-10-11354Griffins-Admirals-
49 - 2025-10-12364Condors-Griffins-
52 - 2025-10-15388Griffins-Gulls-
53 - 2025-10-16396Condors-Griffins-
56 - 2025-10-19416Griffins-Admirals-
58 - 2025-10-21428Griffins-Barracuda-
59 - 2025-10-22435Icehogs-Griffins-
62 - 2025-10-25458Griffins-Wolves-
63 - 2025-10-26466Roadrunners-Griffins-
66 - 2025-10-29490Griffins-Canucks-
67 - 2025-10-30496Thunderbirds-Griffins-
70 - 2025-11-02519Griffins-StarsF-
71 - 2025-11-03528Iowa Wild-Griffins-
75 - 2025-11-07559Reign-Griffins-
77 - 2025-11-09577Griffins-Wranglers-
79 - 2025-11-11588Griffins-Moose-
80 - 2025-11-12595Wolf Pack-Griffins-
83 - 2025-11-15622Eagles-Griffins-
85 - 2025-11-17638Griffins-Firebirds-
87 - 2025-11-19647Griffins-Barracuda-
88 - 2025-11-20655Silver Knights-Griffins-
91 - 2025-11-23678Griffins-Wranglers-
92 - 2025-11-24687Canucks-Griffins-
95 - 2025-11-27704Griffins-Phantoms-
97 - 2025-11-29719Iowa Wild-Griffins-
101 - 2025-12-03747Reign-Griffins-
103 - 2025-12-05760Griffins-Icehogs-
105 - 2025-12-07775Griffins-Iowa Wild-
106 - 2025-12-08783Barracuda-Griffins-
109 - 2025-12-11809Marlies-Griffins-
111 - 2025-12-13821Griffins-SenatorsF-
113 - 2025-12-15839Griffins-Condors-
114 - 2025-12-16844Silver Knights-Griffins-
118 - 2025-12-20875Gulls-Griffins-
121 - 2025-12-23899Griffins-Islanders-
122 - 2025-12-24905PenguinsF-Griffins-
125 - 2025-12-27928Griffins-Gulls-
127 - 2025-12-29941Eagles-Griffins-
130 - 2026-01-01960Griffins-Americans-
131 - 2026-01-02971Wranglers-Griffins-
135 - 2026-01-061002Monsters-Griffins-
137 - 2026-01-081017Griffins-Eagles-
140 - 2026-01-111034Admirals-Griffins-
142 - 2026-01-131046Griffins-Crunch-
144 - 2026-01-151065Thunderbirds-Griffins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2026-01-191089BruinsF-Griffins-
150 - 2026-01-211110Griffins-Eagles-
152 - 2026-01-231121Canucks-Griffins-
153 - 2026-01-241129Griffins-StarsF-
156 - 2026-01-271152Comets-Griffins-
159 - 2026-01-301170Griffins-Silver Knights-
161 - 2026-02-011188Wranglers-Griffins-
163 - 2026-02-031203Griffins-Monsters-
166 - 2026-02-061215Rocket-Griffins-
168 - 2026-02-081233Griffins-Silver Knights-
172 - 2026-02-121255Barracuda-Griffins-
173 - 2026-02-131268Griffins-Monsters-
176 - 2026-02-161284Gulls-Griffins-
179 - 2026-02-191310Bears-Griffins-
182 - 2026-02-221329Griffins-Thunderbirds-
183 - 2026-02-231340StarsF-Griffins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance8,0004,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 3000 - 100.00% 178,800$715,200$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
244,646$ 2,467,500$ 2,467,500$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 234,864$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,794,400$ 166 13,954$ 2,316,364$




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