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Gulls
GP: 10 | W: 4 | L: 6
GF: 28 | GA: 29 | PP%: 12.28% | PK%: 78.33%
DG: Olivier | Morale : 50 | Moyenne d’équipe : 69
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Centre de jeu
Gulls
4-6-0, 8pts
3
FINAL
4 Reign
8-3-0, 16pts
Team Stats
L4SéquenceW7
2-3-0Fiche domicile4-2-0
2-3-0Fiche domicile4-1-0
4-5-1Derniers 10 matchs8-2-0
2.80Buts par match 2.82
2.90Buts contre par match 2.09
12.28%Pourcentage en avantage numérique10.64%
78.33%Pourcentage en désavantage numérique92.19%
Gulls
4-6-0, 8pts
1
FINAL
2 Reign
8-3-0, 16pts
Team Stats
L4SéquenceW7
2-3-0Fiche domicile4-2-0
2-3-0Fiche domicile4-1-0
4-5-1Derniers 10 matchs8-2-0
2.80Buts par match 2.82
2.90Buts contre par match 2.09
12.28%Pourcentage en avantage numérique10.64%
78.33%Pourcentage en désavantage numérique92.19%
Meneurs d'équipe
Emil BemstromButs
Emil Bemstrom
4
Timothy LiljegrenPasses
Timothy Liljegren
7
Emil BemstromPoints
Emil Bemstrom
10
Timothy LiljegrenPlus/Moins
Timothy Liljegren
5
Kaapo KahkonenVictoires
Kaapo Kahkonen
3
Kaapo KahkonenPourcentage d’arrêts
Kaapo Kahkonen
0.887

Statistiques d’équipe
Buts pour
28
2.80 GFG
Tirs pour
191
19.10 Avg
Pourcentage en avantage numérique
12.3%
7 GF
Début de zone offensive
38.4%
Buts contre
29
2.90 GAA
Tirs contre
213
21.30 Avg
Pourcentage en désavantage numérique
78.3%%
13 GA
Début de la zone défensive
42.2%
Informations de l'équipe

Directeur généralOlivier
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro22
Équipe Mineure19
Limite contact 41 / 250
Espoirs46


Historique d'équipe

Saison actuelle4-6
Historique56-18-8 (0.683%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)4-6
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
1Jack Quinn (R)XX100.006752937566677870367571687554540507502131,713,333$
2Emil BemstromXXX100.00614196827062786937726460256161050740232900,000$
3Jonatan Berggren (R)XX100.00614191696565897344657362255252050730222925,000$
4Aliaksei ProtasXXX100.00694392727559886538655869255555050720212888,333$
5Matthew PecaXX100.00746496796470716680685967565353050720292762,500$
6Charles Hudon (R)XXX100.00726882636880846680606864654444050700281750,000$
7Aatu Raty (R)X100.00784491637051745976576460254545050680193902,500$
8Givani SmithXX100.00849947718147695925585662255858050680241750,000$
9Laurent DauphinX100.00714385706957806184505770255656050680271750,000$
10Michael MerschX100.00807885637862626250606067574444050680301500,000$
11Tyler Madden (R)X100.00685794665772765873496360604444050660221925,000$
12Timothy LiljegrenX100.008144867870748261255350802559600507502321,400,000$
13Conor Timmins (R)X100.00734390677067466825704964255556050730241850,000$
14Nils LundkvistX100.007142877667707769255250672555550507302221,775,000$
15Kevin GravelX100.00754494707864825425434780255859050710302762,500$
16Nick DeSimone (R)X100.00767284637279855625544363414444050680272762,500$
17Shakir Mukhamadullin (R)X100.007469876869494857255742624044440506702031,294,167$
Rayé
1Brent Gates (R)X100.00807397667365695063504564434444050640251500,000$
2Olli JuoleviX100.00777582747552525225494063384747050660241750,000$
MOYENNE D’ÉQUIPE100.0073578770706473624558566638515105070
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
1Felix Sandstrom (R)100.0060746176655469616560754646050650252775,000$
2Kaapo Kahkonen100.00637665816560696065634356560506402622,750,000$
Rayé
1Justus Annunen (R)100.00606670856262566461603044440506102211,050,000$
MOYENNE D’ÉQUIPE100.006172658164596562646149494905063
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
1Emil BemstromGulls (ANA)C/LW/RW1046102404191841022.22%220920.960114360001370038.06%15500000.9500000012
2Timothy LiljegrenGulls (ANA)D8077514015460140%919123.90022436000134000%000000.7300000010
3Trent FredericDucksLW/RW561751001881651237.50%211322.670005210000201140.74%2700001.2300000200
4Jonatan BerggrenGulls (ANA)LW/RW10156340910244194.17%116916.991127380001230060.87%2300000.7100000000
5Charles HudonGulls (ANA)C/LW/RW10415-11201492031420.00%017817.88314746000001088.89%900000.5600000100
6Laurent DauphinGulls (ANA)C10325300024167918.75%115215.26000140000160055.15%13600000.6600000010
7Matthew PecaGulls (ANA)C/LW10235-1401125156613.33%221321.311233450000320064.74%19000000.4700000010
8Nils LundkvistGulls (ANA)D10235180108143214.29%823623.691011241000042100%000000.4200000100
9Aliaksei ProtasGulls (ANA)C/LW/RW10134-140812162116.25%018318.3802234100019000%1200000.4400000000
10Jack QuinnGulls (ANA)LW/RW5224-200414102520.00%011523.091121150000240031.25%4800000.6900000011
11Conor TimminsGulls (ANA)D7033-280981220%315021.52011026000026000%000000.4000000000
12Givani SmithGulls (ANA)LW/RW10213320022593722.22%214114.1400003000180036.36%1100000.4200000010
13Michael MerschGulls (ANA)LW10112240711142127.14%016116.1700012000091052.94%1700000.2500000001
14Olli JuoleviGulls (ANA)D5022360810010%37615.2900003000011000%000000.5200000000
15Tyler MaddenGulls (ANA)C10022100111020%1444.460000100000120071.43%2100000.9000000000
16Shakir MukhamadullinGulls (ANA)D100112801155000%1015915.9500038000018000%000000.1300000000
17Kevin GravelGulls (ANA)D100112601354040%1521621.64011336000043000%000000.0900000000
18Aatu RatyGulls (ANA)C10000020351040%0474.8000000000000050.00%520000000000000
19Nick DeSimoneGulls (ANA)D10000-11401831020%419219.24000124000019000%00000000000000
Statistiques d’équipe totales ou en moyenne1702844722412801851771914313614.66%63295517.39712195544600053904151.21%70100000.4900000464
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
1Kaapo KahkonenGulls (ANA)63300.8872.2032821121060000054010
2Felix SandstromGulls (ANA)51210.8413.5928420171070000055000
Statistiques d’équipe totales ou en moyenne114510.8642.8461241292130000109010


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 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 Type Salaire actuel Plafond salarial Non Activé 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 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
Aatu RatyGulls (ANA)C192002-11-14Yes185 Lbs6 ft2NoNoNoNo3Pro & Farm902,500$0$0$No902,500$902,500$-------NoNo-------
Aliaksei ProtasGulls (ANA)C/LW/RW212001-01-06No190 Lbs6 ft5NoNoNoNo2Pro & Farm888,333$0$0$No888,333$--------No--------Lien / Lien NHL
Brent GatesGulls (ANA)C251997-08-12Yes198 Lbs6 ft2NoNoNoNo1Pro & Farm500,000$0$0$No------------------Lien NHL
Charles HudonGulls (ANA)C/LW/RW281994-06-23Yes190 Lbs5 ft10NoNoNoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Conor TimminsGulls (ANA)D241998-09-18Yes185 Lbs6 ft2NoNoNoNo1Pro & Farm850,000$0$0$No------------------Lien
Emil BemstromGulls (ANA)C/LW/RW231999-06-01No190 Lbs6 ft0NoNoNoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien / Lien NHL
Felix SandstromGulls (ANA)G251997-01-12Yes192 Lbs6 ft2NoNoNoNo2Pro & Farm775,000$0$0$No775,000$--------No--------Lien / Lien NHL
Givani SmithGulls (ANA)LW/RW241998-02-27No210 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Jack QuinnGulls (ANA)LW/RW212001-09-19Yes176 Lbs6 ft0NoNoNoNo3Pro & Farm1,713,333$0$0$No1,713,333$1,713,333$-------NoNo-------Lien / Lien NHL
Jonatan BerggrenGulls (ANA)LW/RW222000-07-16Yes183 Lbs5 ft10NoNoNoNo2Pro & Farm925,000$0$0$No925,000$--------No--------Lien / Lien NHL
Justus AnnunenGulls (ANA)G222000-03-11Yes210 Lbs6 ft4NoNoNoNo1Pro & Farm1,050,000$0$0$No------------------Lien / Lien NHL
Kaapo KahkonenGulls (ANA)G261996-08-16No215 Lbs6 ft2NoNoNoNo2Pro & Farm2,750,000$0$0$No2,750,000$--------No--------Lien / Lien NHL
Kevin GravelGulls (ANA)D301992-03-06No205 Lbs6 ft4NoNoNoNo2Pro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Laurent DauphinGulls (ANA)C271995-03-27No187 Lbs6 ft1NoNoNoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Matthew PecaGulls (ANA)C/LW291993-04-27No182 Lbs5 ft9NoNoNoNo2Pro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Michael MerschGulls (ANA)LW301992-10-02No210 Lbs6 ft2NoNoNoNo1Pro & Farm500,000$0$0$No------------------Lien / Lien NHL
Nick DeSimoneGulls (ANA)D271994-11-21Yes190 Lbs6 ft2NoNoNoNo2Pro & Farm762,500$0$0$No762,500$--------No--------Lien / Lien NHL
Nils LundkvistGulls (ANA)D222000-07-27No187 Lbs5 ft11NoNoNoNo2Pro & Farm1,775,000$0$0$No1,775,000$--------No--------Lien / Lien NHL
Olli JuoleviGulls (ANA)D241998-05-05No204 Lbs6 ft2NoNoNoNo1Pro & Farm750,000$0$0$No------------------Lien / Lien NHL
Shakir MukhamadullinGulls (ANA)D202002-10-01Yes178 Lbs6 ft4NoNoNoNo3Pro & Farm1,294,167$0$0$No1,294,167$1,294,167$-------NoNo-------
Timothy LiljegrenGulls (ANA)D231999-04-30No190 Lbs6 ft0NoNoNoNo2Pro & Farm1,400,000$0$0$No1,400,000$--------No--------Lien / Lien NHL
Tyler MaddenGulls (ANA)C221999-11-09Yes152 Lbs5 ft11NoNoNoNo1Pro & Farm925,000$0$0$No------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2224.27191 Lbs6 ft11.731,019,811$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jack QuinnEmil BemstromJonatan Berggren30023
2Aliaksei ProtasMatthew PecaCharles Hudon30122
3Givani SmithLaurent DauphinMichael Mersch20122
4Michael MerschAatu RatyJack Quinn20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timothy LiljegrenNils Lundkvist30122
2Conor TimminsKevin Gravel30122
3Nick DeSimoneShakir Mukhamadullin20122
4Timothy LiljegrenNils Lundkvist20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jack QuinnEmil BemstromJonatan Berggren60113
2Aliaksei ProtasMatthew PecaCharles Hudon40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timothy LiljegrenNils Lundkvist60113
2Conor TimminsKevin Gravel40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jack QuinnEmil Bemstrom60131
2Jonatan BerggrenMatthew Peca40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timothy LiljegrenNils Lundkvist60131
2Conor TimminsKevin Gravel40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jack Quinn60131Timothy LiljegrenNils Lundkvist60131
2Emil Bemstrom40131Conor TimminsKevin Gravel40131
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jack QuinnEmil Bemstrom60122
2Jonatan BerggrenMatthew Peca40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Timothy LiljegrenNils Lundkvist60122
2Conor TimminsKevin Gravel40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack QuinnEmil BemstromJonatan BerggrenTimothy LiljegrenNils Lundkvist
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack QuinnEmil BemstromJonatan BerggrenTimothy LiljegrenNils Lundkvist
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Madden, Laurent Dauphin, Givani SmithTyler Madden, Laurent DauphinGivani Smith
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nick DeSimone, Shakir Mukhamadullin, Conor TimminsNick DeSimoneShakir Mukhamadullin, Conor Timmins
Tirs de pénalité
Jack Quinn, Emil Bemstrom, Jonatan Berggren, Matthew Peca, Aliaksei Protas
Gardien
#1 : Kaapo Kahkonen, #2 : Felix Sandstrom


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
1Canucks6420000021165321000001110132100000106480.66721325301711911276060665141439012536616.67%40977.50%015126956.13%14629649.32%6213645.59%2481682397712765
2Reign40400000713-62020000037-42020000046-200.000712190071191646060665722042602114.76%20480.00%015126956.13%14629649.32%6213645.59%2481682397712765
Total1046000002829-1523000001417-3523000001412280.400284472017119119160606652136313218557712.28%601378.33%015126956.13%14629649.32%6213645.59%2481682397712765
_Since Last GM Reset1046000002829-1523000001417-3523000001412280.400284472017119119160606652136313218557712.28%601378.33%015126956.13%14629649.32%6213645.59%2481682397712765
_Vs Conference1046000002829-1523000001417-3523000001412280.400284472017119119160606652136313218557712.28%601378.33%015126956.13%14629649.32%6213645.59%2481682397712765

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
108L42844721912136313218501
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
104600002829
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300001417
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
52300001412
Derniers 10 matchs
WLOTWOTL SOWSOL
351100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
57712.28%601378.33%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
606066571191
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
15126956.13%14629649.32%6213645.59%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2481682397712765


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 - 2024-04-217Canucks3Gulls4BWSommaire du match
4 - 2024-04-2315Canucks6Gulls5BLSommaire du match
6 - 2024-04-2523Gulls2Canucks3ALXSommaire du match
8 - 2024-04-2731Gulls5Canucks3AWSommaire du match
10 - 2024-04-2939Canucks1Gulls2BWXSommaire du match
12 - 2024-05-0147Gulls3Canucks0AWSommaire du match
16 - 2024-05-0560Reign3Gulls0BLSommaire du match
18 - 2024-05-0764Reign4Gulls3BLSommaire du match
20 - 2024-05-0968Gulls3Reign4ALSommaire du match
22 - 2024-05-1172Gulls1Reign2ALSommaire 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
4 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,243,583$ 2,243,583$ 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$ 6 0$ 0$




Gulls 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
1Matthew Peca82226082114610718819111.52%15169420.67627335120285359.76%00.9714
2Emil Bemstrom8227477421246215615817.09%10172921.101216283912357238.48%00.86212
3Charles Hudon8232376912861269220115.92%5152318.581319327000014464.63%00.9112
4Jonatan Berggren763023531924708316218.52%7144919.07915246002255344.12%00.73612
5Aliaksei Protas8216294514509711811513.91%10153118.67515202800014242.95%00.5918

Gulls 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
1Felix Sandstrom82561870.8942.0448488816515520100.78041
2Justus Annunen40000.8891.90950032700000

Gulls 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
128248180226626017486413070004013375584118110222612799281202604597190895837414177857062057259158340391714484978717.51%3524686.93%71140222651.21%946200547.18%595118050.42%220015701788577997528
Total Saison régulière8248180226626017486413070004013375584118110222612799281202604597190895837414177857062057259158340391714484978717.51%3524686.93%71140222651.21%946200547.18%595118050.42%220015701788577997528
Séries éliminatoires
121046000002829-1523000001417-352300000141228284472017119119160606652136313218557712.28%601378.33%015126956.13%14629649.32%6213645.59%2481682397712765
Total Séries éliminatoires1046000002829-1523000001417-352300000141228284472017119119160606652136313218557712.28%601378.33%015126956.13%14629649.32%6213645.59%2481682397712765

Gulls 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
1Emil Bemstrom104610244191822.22%220920.96011400010038.06%00.9500
2Trent Frederic56175101881637.50%211322.67000500001140.74%01.2300
3Timothy Liljegren807751415460%919123.9002240001000%00.7300
4Jonatan Berggren1015634910244.17%116916.99112700010060.87%00.7100
5Charles Hudon10415-1121492020.00%017817.88314700001088.89%00.5600

Gulls 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
1Kaapo Kahkonen63300.8872.20328211210600000
2Felix Sandstrom51210.8413.59284201710700000