Connexion

Gulls
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Videoj | Morale : 40 | Moyenne d’équipe : 58
Prochain matchs #9 vs Firebirds
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Firebirds
0-0-0, 0pts
2022-09-14
Gulls
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
Gulls
0-0-0, 0pts
2022-09-17
Islanders
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
Gulls
0-0-0, 0pts
2022-09-19
Wolf Pack
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
0
0.00 GFG
Tirs pour
0
0.00 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
0.0%
Buts contre
0
0.00 GAA
Tirs contre
0
0.00 Avg
Pourcentage en désavantage numérique
0.0%
0 GA
Début de la zone défensive
0.0%
Information d’équipe

Directeur généralVideoj
EntraîneurTed Nolan
DivisionPacific Division
ConférenceWestern Conference
CapitaineRiley Sheahan
Assistant #1Mikey Anderson
Assistant #2Jordan Spence


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Information formation

Équipe Pro30
Équipe Mineure18
Limite contact 48 / 90
Espoirs39


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique84-60-22 (0.506%)
Apparitions séries éliminatoires 2
Historique séries éliminatoires (W-L)4-8
Stanley Cup0


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 moyen
1Riley Sheahan (C)0X100.005149905888777359726659686175810406203011,650,000$
2Brendan Gaunce0X100.00784977568862566178636661636171040600281750,000$
3Connor McMichael0X100.00594085657976696165646362625262040600212863,333$
4Anders Bjork0X100.005144896083796755496160646055650405902611,600,000$
5Alexey Toropchenko (R)0XX100.00945680539263575551616062605466040580232850,000$
6Brandon Biro (R)0X100.00703875647660446340696161615362040580241925,000$
7Marian Studenic0XX100.00614085628069535751636164615363040580231900,000$
8Nicholas Merkley0X100.005043755881603762406862626153630405702511,250,000$
9Jean-Luc Foudy (R)0X100.00503975587760435660635962605463040560203850,000$
10Adam Beckman (R)0X100.00534175588060555840645961605161040560212925,000$
11Riley Tufte0X100.00675576509160515552615962605262040560242900,000$
12Yevgeni Oksentyuk (R)0XXX100.00503675607360265340615962605161040540213750,000$
13Mikey Anderson (A)0X100.009344996382857365206460756053660406702311,750,000$
14Jordan Spence (R) (A)0X100.00774082657863577520726268615263040630213850,000$
15Urho Vaakanainen0X100.006845855884695469206757705953630406202311,000,000$
16Nikita Okhotiuk (R)0X100.00994477568360536620626066605265040610212789,167$
17Jack Ahcan0X100.00774077607760456920646366625162040600252800,000$
18Joey Keane0X100.00704775588060517020666263615665040590231925,000$
Rayé
1Graeme Clarke (R)0X100.00503975597760305740635962605262040550212850,833$
2Serron Noel (R)0X100.00505675528760425440625762595262040550222925,000$
3Jakub Lauko0X100.00505175568060325340625662585262040540221900,000$
4Curtis Hall (R)0X100.00504875498860305060595562585161040530222925,000$
5Josh Dunne0X100.00505275518860105560616062605161040530231925,000$
6Juuso Valimaki0X100.006648775487604170206757685955640405902411,000,000$
7Jett Woo (R)0X100.00504575528360206520625968605161040560222860,833$
8Michael Callahan (R)0X100.00504475528460106420605868595060040550232850,000$
9Nick Wolff (R)0X100.005070754891601066206356685851610405502611,000,000$
MOYENNE D’ÉQUIPE100.0062467957836444614064606460546404058
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 SP
1Joey Daccord100.0065737085696966706966677169040680
2Josef Korenar100.0054656284585857595855577068040600
Rayé
1Evan Fitzpatrick100.0044545187494847494945477068040530
MOYENNE D’ÉQUIPE100.005464618559585759595557706804060
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ted Nolan75757575757575CAN658500,000$


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
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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantSalaire moyenSalaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Adam BeckmanGulls (ANA)LW215/10/2001Yes182 Lbs6 ft2NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Alexey ToropchenkoGulls (ANA)LW/RW236/25/1999Yes222 Lbs6 ft6NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Anders Bjork (contrat à 1 volet)Gulls (ANA)LW268/5/1996No197 Lbs6 ft0NoNoNo1Pro & Farm1,600,000$1,583,069$1,600,000$1,583,069$475,000$469,974$NoLien
Brandon BiroGulls (ANA)LW243/11/1998Yes170 Lbs5 ft11NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Brendan GaunceGulls (ANA)C283/25/1994No214 Lbs6 ft3NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Connor McMichaelGulls (ANA)C211/15/2001No180 Lbs6 ft0NoNoNo2Pro & Farm863,333$854,197$863,333$854,197$0$0$No863,333$Lien
Curtis HallGulls (ANA)C224/26/2000Yes210 Lbs6 ft4NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Evan FitzpatrickGulls (ANA)G247/1/1998No205 Lbs6 ft3NoNoNo1Pro & Farm900,000$890,476$900,000$890,476$0$0$NoLien
Graeme ClarkeGulls (ANA)RW214/24/2001Yes175 Lbs5 ft11NoNoNo2Pro & Farm850,833$841,829$850,833$841,829$0$0$No850,833$Lien
Jack AhcanGulls (ANA)D255/18/1997No180 Lbs5 ft9NoNoNo2Pro & Farm800,000$791,534$800,000$791,534$0$0$No800,000$Lien
Jakub LaukoGulls (ANA)LW223/28/2000No184 Lbs6 ft0NoNoNo1Pro & Farm900,000$890,476$900,000$890,476$0$0$NoLien
Jean-Luc FoudyGulls (ANA)C205/13/2002Yes175 Lbs5 ft11NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Lien
Jett WooGulls (ANA)D227/27/2000Yes198 Lbs6 ft0NoNoNo2Pro & Farm860,833$851,724$860,833$851,724$0$0$No860,833$Lien
Joey DaccordGulls (ANA)G268/19/1996No196 Lbs6 ft2NoNoNo2Pro & Farm800,000$791,534$800,000$791,534$0$0$No800,000$Lien
Joey KeaneGulls (ANA)D237/2/1999No187 Lbs6 ft0NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Jordan SpenceGulls (ANA)D212/24/2001Yes180 Lbs5 ft10NoNoNo3Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$850,000$Lien
Josef KorenarGulls (ANA)G241/31/1998No185 Lbs6 ft1NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Josh DunneGulls (ANA)C2312/8/1998No209 Lbs6 ft4NoNoNo1Pro & Farm925,000$915,212$925,000$915,212$0$0$NoLien
Juuso ValimakiGulls (ANA)D2410/6/1998No212 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLien
Marian StudenicGulls (ANA)LW/RW2310/28/1998No181 Lbs6 ft1NoNoNo1Pro & Farm900,000$890,476$900,000$890,476$0$0$NoLien
Michael CallahanGulls (ANA)D239/23/1999Yes196 Lbs6 ft2NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Mikey AndersonGulls (ANA)D235/25/1999No195 Lbs6 ft0NoNoNo1Pro & Farm1,750,000$1,731,481$1,750,000$1,731,481$0$0$NoLien
Nicholas MerkleyGulls (ANA)RW255/23/1997No192 Lbs5 ft11NoNoNo1Pro & Farm1,250,000$1,236,772$1,250,000$1,236,772$0$0$NoLien
Nick WolffGulls (ANA)D267/21/1996Yes220 Lbs6 ft5NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLien
Nikita OkhotiukGulls (ANA)D2112/4/2000Yes195 Lbs6 ft1NoNoNo2Pro & Farm789,167$780,816$789,167$780,816$0$0$No789,167$Lien
Riley Sheahan (contrat à 1 volet)Gulls (ANA)C3012/7/1991No216 Lbs6 ft2NoNoNo1Pro & Farm1,650,000$1,632,540$1,650,000$1,632,540$525,000$519,444$NoLien
Riley TufteGulls (ANA)LW244/10/1998No220 Lbs6 ft6NoNoNo2Pro & Farm900,000$890,476$900,000$890,476$0$0$No900,000$Lien
Serron NoelGulls (ANA)RW228/8/2000Yes205 Lbs6 ft5NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Urho VaakanainenGulls (ANA)D231/1/1999No200 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$989,418$1,000,000$989,418$0$0$NoLien
Yevgeni OksentyukGulls (ANA)C/LW/RW212/27/2001Yes163 Lbs5 ft8NoNoNo3Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$750,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3023.37195 Lbs6 ft11.60967,139$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anders BjorkRiley SheahanMarian Studenic40122
2Brandon BiroConnor McMichaelAlexey Toropchenko30122
3Riley TufteBrendan GaunceNicholas Merkley20122
4Adam BeckmanJean-Luc FoudyYevgeni Oksentyuk10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mikey AndersonJordan Spence40122
2Urho VaakanainenNikita Okhotiuk30122
3Jack AhcanJoey Keane20122
4Mikey AndersonJordan Spence10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anders BjorkRiley SheahanMarian Studenic60122
2Brandon BiroConnor McMichaelAlexey Toropchenko40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mikey AndersonJordan Spence60122
2Urho VaakanainenNikita Okhotiuk40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Riley SheahanConnor McMichael60122
2Brendan GaunceAnders Bjork40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mikey AndersonJordan Spence60122
2Urho VaakanainenNikita Okhotiuk40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Riley Sheahan60122Mikey AndersonJordan Spence60122
2Connor McMichael40122Urho VaakanainenNikita Okhotiuk40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Riley SheahanConnor McMichael60122
2Brendan GaunceAnders Bjork40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mikey AndersonJordan Spence60122
2Urho VaakanainenNikita Okhotiuk40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anders BjorkRiley SheahanMarian StudenicMikey AndersonJordan Spence
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anders BjorkRiley SheahanMarian StudenicMikey AndersonJordan Spence
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Nicholas Merkley, Riley Tufte, Adam BeckmanNicholas Merkley, Riley TufteAdam Beckman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Ahcan, Joey Keane, Urho VaakanainenJack AhcanJoey Keane, Urho Vaakanainen
Tirs de pénalité
Riley Sheahan, Connor McMichael, Brendan Gaunce, Anders Bjork, Marian Studenic
Gardien
#1 : Joey Daccord, #2 : Josef Korenar
Lignes d’attaque personnalisées en prolongation
Riley Sheahan, Connor McMichael, Brendan Gaunce, Anders Bjork, Marian Studenic, Brandon Biro, Brandon Biro, Alexey Toropchenko, Nicholas Merkley, Riley Tufte, Adam Beckman
Lignes de défense personnalisées en prolongation
Mikey Anderson, Jordan Spence, Urho Vaakanainen, Nikita Okhotiuk, Jack Ahcan


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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
6 - 2022-09-149Firebirds-Gulls-
9 - 2022-09-1732Gulls-Islanders-
11 - 2022-09-1939Gulls-Wolf Pack-
12 - 2022-09-2048Gulls-Comets-
14 - 2022-09-2259Gulls-Bruins-
17 - 2022-09-2588Gulls-Griffins-
20 - 2022-09-28110Crunch-Gulls-
22 - 2022-09-30121Gulls-Silver Knights-
24 - 2022-10-02142Marlies-Gulls-
26 - 2022-10-04158Gulls-Barracuda-
28 - 2022-10-06171Gulls-Canucks-
30 - 2022-10-08188Gulls-Barracuda-
31 - 2022-10-09192Checkers-Gulls-
34 - 2022-10-12210Wild-Gulls-
37 - 2022-10-15234IceHogs-Gulls-
40 - 2022-10-18255Griffins-Gulls-
42 - 2022-10-20266Gulls-Moose-
44 - 2022-10-22282Gulls-Thunderbirds-
46 - 2022-10-24296Gulls-Thunderbirds-
48 - 2022-10-26314Wolf Pack-Gulls-
50 - 2022-10-28323Senators-Gulls-
52 - 2022-10-30343Firebirds-Gulls-
54 - 2022-11-01356Gulls-Admirals-
56 - 2022-11-03371Gulls-Stars-
58 - 2022-11-05379Gulls-Wild-
59 - 2022-11-06392Gulls-Moose-
61 - 2022-11-08410Wolves-Gulls-
64 - 2022-11-11433Barracuda-Gulls-
67 - 2022-11-14451Gulls-Senators-
68 - 2022-11-15454Gulls-Marlies-
70 - 2022-11-17469Gulls-Rocket-
72 - 2022-11-19486Gulls-Condors-
75 - 2022-11-22516Gulls-Reign-
76 - 2022-11-23524Wild-Gulls-
78 - 2022-11-25544Heat-Gulls-
83 - 2022-11-30562Silver Knights-Gulls-
85 - 2022-12-02574Admirals-Gulls-
88 - 2022-12-05597Phantoms-Gulls-
90 - 2022-12-07611Stars-Gulls-
92 - 2022-12-09627Barracuda-Gulls-
94 - 2022-12-11644Bruins-Gulls-
97 - 2022-12-14660Condors-Gulls-
99 - 2022-12-16675Comets-Gulls-
102 - 2022-12-19700Gulls-Penguins-
103 - 2022-12-20705Gulls-Phantoms-
105 - 2022-12-22717Gulls-Monsters-
107 - 2022-12-24732Gulls-Americans-
110 - 2022-12-27763Gulls-Roadrunners-
112 - 2022-12-29776Gulls-Eagles-
114 - 2022-12-31796Roadrunners-Gulls-
123 - 2023-01-09811Gulls-Stars-
124 - 2023-01-10818Gulls-IceHogs-
127 - 2023-01-13831Penguins-Gulls-
129 - 2023-01-15849Gulls-Silver Knights-
132 - 2023-01-18868Americans-Gulls-
134 - 2023-01-20882Reign-Gulls-
137 - 2023-01-23902Gulls-Checkers-
138 - 2023-01-24908Gulls-Crunch-
140 - 2023-01-26920Gulls-Bears-
142 - 2023-01-28939Gulls-Wolves-
144 - 2023-01-30957IceHogs-Gulls-
146 - 2023-02-01973Bears-Gulls-
148 - 2023-02-03987Rocket-Gulls-
152 - 2023-02-071021Gulls-Firebirds-
153 - 2023-02-081024Gulls-Canucks-
155 - 2023-02-101037Gulls-Heat-
157 - 2023-02-121060Admirals-Gulls-
160 - 2023-02-151079Islanders-Gulls-
162 - 2023-02-171094Monsters-Gulls-
164 - 2023-02-191114Canucks-Gulls-
166 - 2023-02-211131Heat-Gulls-
168 - 2023-02-231146Moose-Gulls-
170 - 2023-02-251164Thunderbirds-Gulls-
172 - 2023-02-271174Eagles-Gulls-
175 - 2023-03-021198Gulls-Firebirds-
177 - 2023-03-041216Gulls-Condors-
178 - 2023-03-051225Gulls-Heat-
181 - 2023-03-081242Condors-Gulls-
184 - 2023-03-111260Gulls-Roadrunners-
185 - 2023-03-121274Eagles-Gulls-
187 - 2023-03-141294Canucks-Gulls-
189 - 2023-03-161310Reign-Gulls-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
27,264$ 2,576,416$ 2,576,416$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
13,632$ 27,264$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 187 13,632$ 2,549,184$




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
1182323009812158167-94117150521194913411515046016476-12941582674254122565581219894967247285623148021741566993333.33%762961.84%1682133051.28%746149250.00%47790752.59%152569316048321833932
1182323009812158167-94117150521194913411515046016476-12941582674254122565581219894967247285623148021741566993333.33%762961.84%1682133051.28%746149250.00%47790752.59%152569316048321833932
Total Saison régulière16464600181624316334-188234300104221881826823030081202128152-2418831653485082450130116243978992144814561124628160434831321986633.33%1525861.84%21364266051.28%1492298450.00%954181452.59%305013863209166436671865
Séries éliminatoires
11624000002120130300000913-432100000127542138591051150233599975019377414319421.05%220.00%08215353.59%6913252.27%5110349.51%128721185511256
11624000002120130300000913-432100000127542138591051150233599975019377414319421.05%220.00%08215353.59%6913252.27%5110349.51%128721185511256
Total Séries éliminatoires12480000042402606000001826-864200000241410842761182010221004661181981500386154828638821.05%440.00%016430653.59%13826452.27%10220649.51%257145236110225112