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Connexion

Victoria Grizzlies
GP: 33 | W: 17 | L: 13 | OTL: 3 | P: 37
GF: 144 | GA: 136 | PP%: 23.08% | PK%: 74.36%
DG: Mat Fargas | Morale : 50 | Moyenne d’équipe : 65
Prochains matchs #510 vs Bobcaygeon Bullets

Centre de jeu
Victoria Grizzlies
17-13-3, 37pts		3
Sommaire du match
 2 Colorado Eagles
23-5-2, 48pts
Team Stats
L1SéquenceSOL1
8-5-2Fiche domicile12-4-0
9-8-1Fiche domicile11-1-2
5-3-2Derniers 10 matchs7-1-2
4.36Buts par match 3.47
4.12Buts contre par match 2.77
23.08%Pourcentage en avantage numérique19.49%
74.36%Pourcentage en désavantage numérique85.84%
Victoria Grizzlies
17-13-3, 37pts		3
Sommaire du match
 6 Texas Stars
15-16-0, 30pts
Team Stats
L1SéquenceW2
8-5-2Fiche domicile7-9-0
9-8-1Fiche domicile8-7-0
5-3-2Derniers 10 matchs4-6-0
4.36Buts par match 2.77
4.12Buts contre par match 2.94
23.08%Pourcentage en avantage numérique23.68%
74.36%Pourcentage en désavantage numérique87.93%
Bobcaygeon Bullets
17-11-3, 37pts
Jour 71
 Victoria Grizzlies
17-13-3, 37pts
Statistiques d’équipe
L1SéquenceL1
10-4-2Fiche domicile8-5-2
7-7-1Fiche visiteur9-8-1
6-3-110 derniers matchs5-3-2
4.10Buts par match 4.36
3.13Buts contre par match 4.36
23.65%Pourcentage en avantage numérique23.08%
87.86%Pourcentage en désavantage numérique74.36%
Victoria Grizzlies
17-13-3, 37pts
Jour 73
 Owen Sound Platers
11-14-5, 27pts
Statistiques d’équipe
L1SéquenceL1
8-5-2Fiche domicile7-7-2
9-8-1Fiche visiteur4-7-3
5-3-210 derniers matchs6-4-0
4.36Buts par match 4.00
4.12Buts contre par match 4.00
23.08%Pourcentage en avantage numérique19.53%
74.36%Pourcentage en désavantage numérique75.17%
San Diego Gulls
16-10-4, 36pts
Jour 75
 Victoria Grizzlies
17-13-3, 37pts
Statistiques d’équipe
L1SéquenceL1
9-5-2Fiche domicile8-5-2
7-5-2Fiche visiteur9-8-1
5-4-110 derniers matchs5-3-2
3.47Buts par match 4.36
3.27Buts contre par match 4.36
22.56%Pourcentage en avantage numérique23.08%
79.41%Pourcentage en désavantage numérique74.36%
Meneurs d'équipe
Buts
Caedan Bankier
7		 Passes
Caedan Bankier
6
Points
Caedan Bankier
13		 Plus/Moins
Caedan Bankier
7

Statistiques d’équipe
Buts pour
144
4.36 GFG		 Tirs pour
1373
41.61 Avg		 Pourcentage en avantage numérique
23.1%
36 GF		 Début de zone offensive
39.1%
Buts contre
136
4.12 GAA		 Tirs contre
1548
46.91 Avg		 Pourcentage en désavantage numérique
74.4%%
40 GA		 Début de la zone défensive
43.4%
Informations de l'équipe

Directeur généralMat Fargas
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro14
Équipe Mineure19
Limite contact 33 / 60
Espoirs20


Historique d'équipe

Saison actuelle17-13-3 (37PTS)
Historique113-70-16 (0.568%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)5 - 12 (0.294%)
Coupe Stanley0


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
1Nathan WalkerXX100.00867586726857876283646677566158050680312975,000$
2Mitchell ChaffeeX100.00806691747757786455647067565758050680272975,000$
3Jared Davidson (R)X100.00576368646671696657636670625754050650222775,000$
4Riley Duran (R)X100.00575972636770676058596268575855050630232725,000$
5Oskar Pettersson (R)X100.00565770607470685957586067565452050620213875,000$
6Alex Jefferies (R)X100.00565970646869666257616163565955050620232825,000$
7Nico Myatovic (R)X100.00565770606970676057596066565452050610203925,000$
8Jeff PetryX100.00684286708073795842665981568368050700372900,000$
9Ben ChiarotX100.00686679738679945942646178567567050700342900,000$
10Keaton MiddletonX100.00646982689358655643625879575959050660272975,000$
11Dylan CoghlanX100.00586172707967636243626164576459050640272995,000$
Rayé
1Caedan BankierX100.00576668647171686272606165565553050630222875,000$
MOYENNE D’ÉQUIPE100.0064627667756873615662627057615805065
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
1Jesper Wallstedt100.0066707069686467706471646155050670222975,000$
2Arvid Holm100.0056565656565656565656565454050560261750,000$
Rayé
MOYENNE D’ÉQUIPE100.006163636362606263606460585505062
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Caedan BankierVictoria Grizzlies (TOR)C127613720172730103323.33%813110.9500000000001159.22%17900001.9800000211
Statistiques d’équipe totales ou en moyenne127613720172730103323.33%813110.9500000000001159.22%17900001.9800000211
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


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
Alex JefferiesVictoria Grizzlies (TOR)LW232001-11-08USAYes194 Lbs6 ft0NoNoProspectNoNo22025-06-23FalseFalsePro & Farm825,000$522,207$0$0$No825,000$--------825,000$--------No--------Lien
Arvid HolmVictoria Grizzlies (TOR)G261998-11-03SWENo205 Lbs6 ft5NoNoN/ANoNo12024-08-12FalseFalsePro & Farm750,000$474,734$0$0$No---------------------------Lien
Ben ChiarotVictoria Grizzlies (TOR)D341991-05-09CANNo224 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-09FalseFalsePro & Farm900,000$569,681$0$0$No900,000$--------900,000$--------No--------Lien
Caedan BankierVictoria Grizzlies (TOR)C222003-01-26CANNo192 Lbs6 ft2NoNoProspectNoNo22024-07-27FalseFalsePro & Farm875,000$553,856$0$0$No875,000$--------875,000$--------No--------Lien
Dylan CoghlanVictoria Grizzlies (TOR)D271998-02-19CANNo206 Lbs6 ft2NoNoAssign ManuallyNoNo22025-09-09FalseFalsePro & Farm995,000$629,814$0$0$No995,000$--------995,000$--------No--------Lien
Jared DavidsonVictoria Grizzlies (TOR)C222002-07-07CANYes183 Lbs6 ft0NoNoProspectNoNo22025-06-23FalseFalsePro & Farm775,000$490,559$0$0$No775,000$--------775,000$--------No--------Lien
Jeff PetryVictoria Grizzlies (TOR)D371987-12-09USANo206 Lbs6 ft3NoNoAssign Manually2024-07-01NoNo22025-09-09FalseFalsePro & Farm900,000$569,681$0$0$No900,000$--------900,000$--------No--------Lien
Jesper WallstedtVictoria Grizzlies (TOR)G222002-11-14SWENo213 Lbs6 ft3NoNoProspectNoNo22024-07-01FalseFalsePro & Farm975,000$617,154$0$0$No975,000$--------975,000$--------No--------Lien
Keaton MiddletonVictoria Grizzlies (TOR)D271998-02-10CANNo239 Lbs6 ft5NoNoAssign ManuallyNoNo22025-09-09FalseFalsePro & Farm975,000$617,154$0$0$No975,000$--------975,000$--------No--------Lien
Mitchell ChaffeeVictoria Grizzlies (TOR)RW271998-01-26USANo204 Lbs6 ft0NoNoAssign ManuallyNoNo22025-09-07FalseFalsePro & Farm975,000$617,154$0$0$No975,000$--------975,000$--------No--------Lien
Nathan WalkerVictoria Grizzlies (TOR)LW/RW311994-02-07GBRNo187 Lbs5 ft8NoNoAssign Manually2024-08-21NoNo22025-09-07FalseFalsePro & Farm975,000$617,154$0$0$No975,000$--------975,000$--------No--------Lien
Nico MyatovicVictoria Grizzlies (TOR)LW202004-12-01CANYes183 Lbs6 ft2NoNoProspectNoNo32025-07-27FalseFalsePro & Farm925,000$585,505$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien
Oskar PetterssonVictoria Grizzlies (TOR)RW212004-02-04SWEYes209 Lbs6 ft2NoNoProspectNoNo32025-06-23FalseFalsePro & Farm875,000$553,856$0$0$No875,000$875,000$-------875,000$875,000$-------NoNo-------Lien
Riley DuranVictoria Grizzlies (TOR)C232002-01-25USAYes173 Lbs6 ft0NoNoProspectNoNo22025-06-23FalseFalsePro & Farm725,000$458,910$0$0$No725,000$--------725,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1425.86201 Lbs6 ft22.07888,929$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
135122
230122
325122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
135122
230122
325122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
1Cairo Fighting Ice Camels1010000014-3000000000001010000014-300.000123006540372304644474521627126168112.50%3166.67%0573130543.91%674145046.48%27058446.23%704489907244386178
2Charlotte Checkers11000000725110000007250000000000021.00071421006540372584644474521647162432000%7185.71%0573130543.91%674145046.48%27058446.23%704489907244386178
3Cincinnati Cyclones1010000037-4000000000001010000037-400.00036900654037236464447452164371118200.00%2150.00%0573130543.91%674145046.48%27058446.23%704489907244386178
4Colorado Eagles11000000321000000000001100000032121.0003580065403724346444745216351412194125.00%50100.00%0573130543.91%674145046.48%27058446.23%704489907244386178
5Flint Michigan Tropics21100000972000000000002110000097220.5009182700654037261464447452168720244211545.45%11463.64%0573130543.91%674145046.48%27058446.23%704489907244386178
6Henderson Silver Knights11000000743110000007430000000000021.00071320006540372574644474521661168444250.00%4175.00%0573130543.91%674145046.48%27058446.23%704489907244386178
7Kimberley Dynamiters210010001156110000007251000100043141.00011223300654037292464447452161072518507457.14%9455.56%0573130543.91%674145046.48%27058446.23%704489907244386178
8Kitchener Rangers311000011112-11000000134-12110000088030.500112132006540372126464447452161484337811200.00%16381.25%0573130543.91%674145046.48%27058446.23%704489907244386178
9Lehigh Valley Phantoms1010000023-11010000023-10000000000000.0002460065403724046444745216381412305120.00%6183.33%0573130543.91%674145046.48%27058446.23%704489907244386178
10Ontario Reign311001001110131100100111010000000000030.5001121320065403721224644474521611838227814321.43%10460.00%0573130543.91%674145046.48%27058446.23%704489907244386178
11Owen Sound Platers11000000734110000007340000000000021.00071421006540372544644474521658148268337.50%50100.00%0573130543.91%674145046.48%27058446.23%704489907244386178
12Palm Springs Navigators311000011619-31010000069-3210000011010030.5001631470065403721204644474521618145268321419.05%12191.67%0573130543.91%674145046.48%27058446.23%704489907244386178
13Prince George Cougars220000001082110000004311100000065141.000101828006540372100464447452169736165510330.00%8187.50%1573130543.91%674145046.48%27058446.23%704489907244386178
14Rhode Island Red Army1010000067-1000000000001010000067-100.0006111700654037253464447452165481032500.00%30100.00%0573130543.91%674145046.48%27058446.23%704489907244386178
15San Diego Gulls2010100067-11010000024-21000100043120.500611170065403726046444745216672820395120.00%9277.78%0573130543.91%674145046.48%27058446.23%704489907244386178
16Saskatchewan Snatchsniffers2110000068-2110000004311010000025-320.50061218006540372874644474521612033246712325.00%12650.00%0573130543.91%674145046.48%27058446.23%704489907244386178
17Stouffville Clippers220000001266110000007611100000050541.00012233501654037281464447452161063524451119.09%12191.67%0573130543.91%674145046.48%27058446.23%704489907244386178
18Texas Stars1010000036-3000000000001010000036-300.000358006540372364644474521641514244125.00%7357.14%0573130543.91%674145046.48%27058446.23%704489907244386178
19Tucson Roadrunners211000001012-21010000047-31100000065120.50010203000654037284464447452167217235410220.00%10460.00%0573130543.91%674145046.48%27058446.23%704489907244386178
20Vancouver Millionaires1010000034-1000000000001010000034-100.000369006540372334644474521641712123133.33%5260.00%0573130543.91%674145046.48%27058446.23%704489907244386178
Total3315130210214413681585001017160111878020017376-3370.56114427742101654037213734644474521615484333518471563623.08%1564074.36%1573130543.91%674145046.48%27058446.23%704489907244386178
_Since Last GM Reset3315130210214413681585001017160111878020017376-3370.56114427742101654037213734644474521615484333518471563623.08%1564074.36%1573130543.91%674145046.48%27058446.23%704489907244386178
_Vs Conference23109021019899-1105400100454231355020015357-4260.565981882860065403729314644474521610702912305851073028.04%1043368.27%1573130543.91%674145046.48%27058446.23%704489907244386178
_Vs Division1565021016466-27340010030300831020013436-2180.6006412318700654037259346444745216729195146397751925.33%662069.70%0573130543.91%674145046.48%27058446.23%704489907244386178

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3337L11442774211373154843335184701
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
3315132102144136
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
158501017160
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
187820017376
Derniers 10 matchs
WLOTWOTL SOWSOL
530002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1563623.08%1564074.36%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
464447452166540372
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
573130543.91%674145046.48%27058446.23%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
704489907244386178


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
11Victoria Grizzlies4Kimberley Dynamiters3WXSommaire du match
318Victoria Grizzlies5Kitchener Rangers3WSommaire du match
530Ontario Reign4Victoria Grizzlies3LSommaire du match
749Ontario Reign1Victoria Grizzlies4WSommaire du match
965Victoria Grizzlies6Palm Springs Navigators5WSommaire du match
1177Victoria Grizzlies4San Diego Gulls3WXSommaire du match
1394San Diego Gulls4Victoria Grizzlies2LSommaire du match
14100Victoria Grizzlies6Flint Michigan Tropics3WSommaire du match
17122Palm Springs Navigators9Victoria Grizzlies6LSommaire du match
18133Victoria Grizzlies6Prince George Cougars5WSommaire du match
21151Victoria Grizzlies3Vancouver Millionaires4LSommaire du match
22160Kimberley Dynamiters2Victoria Grizzlies7WSommaire du match
26188Prince George Cougars3Victoria Grizzlies4WSommaire du match
28208Ontario Reign5Victoria Grizzlies4LXSommaire du match
30221Victoria Grizzlies2Saskatchewan Snatchsniffers5LSommaire du match
33239Victoria Grizzlies6Tucson Roadrunners5WSommaire du match
35253Tucson Roadrunners7Victoria Grizzlies4LSommaire du match
37267Victoria Grizzlies6Rhode Island Red Army7LSommaire du match
39278Victoria Grizzlies3Flint Michigan Tropics4LSommaire du match
40286Charlotte Checkers2Victoria Grizzlies7WSommaire du match
43313Victoria Grizzlies5Stouffville Clippers0WSommaire du match
44320Lehigh Valley Phantoms3Victoria Grizzlies2LSommaire du match
47340Victoria Grizzlies1Cairo Fighting Ice Camels4LSommaire du match
48349Henderson Silver Knights4Victoria Grizzlies7WSommaire du match
52376Stouffville Clippers6Victoria Grizzlies7WSommaire du match
54389Victoria Grizzlies3Cincinnati Cyclones7LSommaire du match
56407Saskatchewan Snatchsniffers3Victoria Grizzlies4WSommaire du match
58420Victoria Grizzlies4Palm Springs Navigators5LXXSommaire du match
61438Owen Sound Platers3Victoria Grizzlies7WSommaire du match
63456Victoria Grizzlies3Kitchener Rangers5LSommaire du match
65471Kitchener Rangers4Victoria Grizzlies3LXXSommaire du match
67482Victoria Grizzlies3Colorado Eagles2WSommaire du match
68494Victoria Grizzlies3Texas Stars6LSommaire du match
71510Bobcaygeon Bullets-Victoria Grizzlies-
73526Victoria Grizzlies-Owen Sound Platers-
75539San Diego Gulls-Victoria Grizzlies-
77554Victoria Grizzlies-Syracuse Crunch-
79570Ontario Reign-Victoria Grizzlies-
81588Victoria Grizzlies-Lehigh Valley Phantoms-
83602Victoria Grizzlies-Grand Rapids Griffins-
84607Kimberley Dynamiters-Victoria Grizzlies-
88636Palm Springs Navigators-Victoria Grizzlies-
91658Victoria Grizzlies-Hartford Wolf Pack-
92668Newfoundland Regiment-Victoria Grizzlies-
95685Victoria Grizzlies-Kimberley Dynamiters-
97697Syracuse Crunch-Victoria Grizzlies-
100725Flint Michigan Tropics-Victoria Grizzlies-
102735Victoria Grizzlies-Hamilton Bulldogs-
105756Victoria Grizzlies-Vancouver Millionaires-
106765Texas Stars-Victoria Grizzlies-
109790Charlestown Chiefs-Victoria Grizzlies-
113817Manitoba Moose-Victoria Grizzlies-
115828Victoria Grizzlies-Saskatchewan Snatchsniffers-
117847Cairo Fighting Ice Camels-Victoria Grizzlies-
119860Victoria Grizzlies-Charlestown Chiefs-
120870Victoria Grizzlies-Bobcaygeon Bullets-
123889Hamilton Bulldogs-Victoria Grizzlies-
126911Hartford Wolf Pack-Victoria Grizzlies-
128928Victoria Grizzlies-San Diego Gulls-
130940Victoria Grizzlies-Charlotte Checkers-
132951Cincinnati Cyclones-Victoria Grizzlies-
134970Victoria Grizzlies-Iowa Wild-
136980Bridgeport Islanders-Victoria Grizzlies-
1401009Tucson Roadrunners-Victoria Grizzlies-
1431027Victoria Grizzlies-Bridgeport Islanders-
1451039Wilkes Scranton Penguins-Victoria Grizzlies-
1491069Colorado Eagles-Victoria Grizzlies-
1511082Victoria Grizzlies-Tucson Roadrunners-
1531094Victoria Grizzlies-Prince George Cougars-
1541106Grand Rapids Griffins-Victoria Grizzlies-
1571122Victoria Grizzlies-Ontario Reign-
1591136Rhode Island Red Army-Victoria Grizzlies-
1621158Victoria Grizzlies-Henderson Silver Knights-
1631169Prince George Cougars-Victoria Grizzlies-
1671196Victoria Grizzlies-Ontario Reign-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1691205Iowa Wild-Victoria Grizzlies-
1731232Vancouver Millionaires-Victoria Grizzlies-
1751247Victoria Grizzlies-Newfoundland Regiment-
1771259Kitchener Rangers-Victoria Grizzlies-
1781268Victoria Grizzlies-Manitoba Moose-
1821289Victoria Grizzlies-Wilkes Scranton Penguins-
1861309Vancouver Millionaires-Victoria Grizzlies-



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
26 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
484,902$ 1,244,500$ 1,244,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 484,902$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 119 6,620$ 787,780$




Victoria Grizzlies 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
1Walker Duehr157547813289028719449810.84%31297818.9714253910010178355.00%00.8916
2Casey Fitzgerald1572590115-11092542172769.06%203323820.631436501640334320%00.7101
3Matthew Phillips151516211318771432475149.92%59278018.42581362011311245.90%10.81310
4Mac Hollowell1641984103014125416117410.92%178280417.1012172977022211100.00%00.7313
5Pontus Holmberg12841579875425529940410.15%35234618.339223188000410257.03%10.8403

Victoria Grizzlies 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
1Jesper Wallstedt3627810.9182.6921664197117704002
2Arvid Holm39221330.9013.2023102412312450100.63611
3Collin Delia44211750.9053.2326056014014780000.78323
4Eric Comrie129210.9113.1873500394400000.78614

Victoria Grizzlies 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
Saison régulière
202382353103454261269-841181501241126135-9411716022131351341942614727330494887113247284578582548274679474416963586417.88%3217177.88%41502278253.99%1439274452.44%752136755.01%2093146918475741039538
202482482602033322246764127110100217411856412115010311481282010932258190313112113929309410481012101944276582280519163808121.32%3485983.05%51619312051.89%1479286251.68%703133952.50%2073146618755811004511
20253315130210214413681585001017160111878020017376-33714427742101654037213734644474521615484333518471563623.08%1564074.36%1573130543.91%674145046.48%27058446.23%704489907244386178
Total Saison régulière197987007589727651769753310234437131358100453905245356338182407271330205718271241200246939235722442296108705920491900445989418120.25%82517079.39%103694720751.26%3592705650.91%1725329052.43%487134254629140124301227
Séries éliminatoires
2022624000001717031200000910-131200000871417324900763118056674512200586016528621.43%25292.00%19420246.53%9720946.41%4410143.56%150102152477941
202340400000615-92020000039-62020000036-306121800123010837294201504748891516.67%20480.00%05812845.31%7315248.03%355563.64%956391285228
20247340000032248422000001915431200000139463258900016790294931037820262718216320525.00%32875.00%014529050.00%13526451.14%6012448.39%182129187539244
Total Séries éliminatoires17512000005556-1936000003134-38260000024222105510215700241515158218619916532612176190417631219.05%771481.82%129762047.90%30562548.80%13928049.64%428295431129224114

Victoria Grizzlies 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
1Caedan Bankier7213151021718306.67%111616.69000000001050.36%02.5700
2Jesper Boqvist114610-4101829449.09%422020.06033400000051.08%00.9100
3Casey Fitzgerald174610-41942242119.05%3538122.47314150001200%00.5200
4Walker Duehr174610-5142821468.70%230317.871341000000035.29%00.6600
5Brad Hunt11257-6223118267.69%1625723.42202120000000%00.5400

Victoria Grizzlies 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
1Jesper Wallstedt53110.9003.36304001717000000
2Arvid Holm52210.9172.64318201416900000
3Dereck Baribeau10010.9032.86630033100000
4Eric Comrie20110.9242.691560079201000
5Collin Delia40400.9003.77239001515000000





Site web créé par le SimonT Hockey Simulator (STHS) pour Louis-Philip Lafrance - English Version of the Website - La base de données a été créé : 12/14/2025 2:23:59 PM