Connexion

Gulls
GP: 74 | W: 49 | L: 19 | OTL: 6 | P: 104
GF: 248 | GA: 187 | PP%: 16.96% | PK%: 79.76%
DG: Simon Nicol | Morale : 93 | Moyenne d’équipe : N/A
Prochains matchs #1192 vs Reign
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Centre de jeu
Gulls
49-19-6, 104pts
1
FINAL
3 Moose
37-27-11, 85pts
Team Stats
L4StreakW3
21-12-4Home Record18-13-6
28-7-2Away Record19-14-5
5-5-0Last 10 Games4-4-2
3.35Buts par match 2.97
2.53Buts contre par match 2.79
16.96%Pourcentage en avantage numérique23.77%
79.76%Pourcentage en désavantage numérique75.85%
Admirals
41-25-8, 90pts
4
FINAL
2 Gulls
49-19-6, 104pts
Team Stats
W1StreakL4
20-14-3Home Record21-12-4
21-11-5Away Record28-7-2
8-1-1Last 10 Games5-5-0
3.08Buts par match 3.35
2.89Buts contre par match 2.53
16.89%Pourcentage en avantage numérique16.96%
67.14%Pourcentage en désavantage numérique79.76%
Reign
30-32-11, 71pts
2024-03-29
Gulls
49-19-6, 104pts
Statistiques d’équipe
L2SéquenceL4
16-15-6Fiche domicile21-12-4
14-17-5Fiche visiteur28-7-2
3-5-210 derniers matchs5-5-0
2.70Buts par match 3.35
3.04Buts contre par match 3.35
25.69%Pourcentage en avantage numérique16.96%
82.45%Pourcentage en désavantage numérique79.76%
Gulls
49-19-6, 104pts
2024-04-01
Canucks
36-33-6, 78pts
Statistiques d’équipe
L4SéquenceSOL1
21-12-4Fiche domicile19-16-2
28-7-2Fiche visiteur17-17-4
5-5-010 derniers matchs6-3-1
3.35Buts par match 2.84
2.53Buts contre par match 2.84
16.96%Pourcentage en avantage numérique20.15%
79.76%Pourcentage en désavantage numérique74.68%
Meneurs d'équipe
Buts
Joe Veleno
30
Rodion AmirovPasses
Rodion Amirov
39
Points
Joe Veleno
68
Plus/Moins
Jordan Subban
27
Yaniv PeretsVictoires
Yaniv Perets
39
Yaniv PeretsPourcentage d’arrêts
Yaniv Perets
0.942

Statistiques d’équipe
Buts pour
248
3.35 GFG
Tirs pour
3248
43.89 Avg
Pourcentage en avantage numérique
17.0%
29 GF
Début de zone offensive
41.4%
Buts contre
187
2.53 GAA
Tirs contre
3061
41.36 Avg
Pourcentage en désavantage numérique
79.8%%
17 GA
Début de la zone défensive
39.0%
Informations de l'équipe

Directeur généralSimon Nicol
EntraîneurRick Bowness
DivisionPacific
ConférenceWestern
CapitaineMathieu Perreault
Assistant #1Patrick Maroon
Assistant #2Mathieu Joseph


Informations de l’aréna

Capacité3,000
Assistance2,991
Billets de saison600


Informations de la formation

Équipe Pro26
Équipe Mineure20
Limite contact 46 / 50
Espoirs50


Historique d'équipe

Saison actuelle49-19-6 (104PTS)
Historique234-101-38 (0.627%)
Apparitions en séries éliminatoires 3
Historique en séries éliminatoires (W-L)31-18
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
1Linus Karlsson (R)XX100.00625579787680807980737673766567758000232850,000$
2Dominic ToninatoXXX100.0055379264808271687168696962817744190X02921,100,000$
3Patrick Khodorenko (R)X100.00584492727575836769686768617570488500243900,000$
4Lane PedersonXX100.0057499270728790676867677164717059860X0262900,000$
5Mathieu Joseph (A)XX100.009267676975678370546971716572745078002631,250,000$
6Mathieu Perreault (C)XXX100.0085587171688295725672717170928725880X03511,250,000$
7Pavel BuchnevichXX100.006142927483767770547070597574725776002831,250,000$
8Patrick Maroon (A)XX100.007557757088758764636765607194902286003511,250,000$
9Vinni LettieriXX100.006438886571966770727171636177744286002831,250,000$
10Joe Veleno (R)XXX100.006036947577899579827474727170717687002311,200,000$
11Rodion Amirov (R)XX100.00614591787580807660707272726363908600213975,000$
12Nils Aman (R)X100.00624788787681757780716971696466607800233950,000$
13Adam ClendeningX100.00584380657478667238726977478579537900301750,000$
14Brett KulakX100.0083567366788271673070666955787650860X02921,350,000$
15Jordan SubbanX100.0053379464658282733874726253787551790X02821,250,000$
16Vincent Iorio (R)X100.00645182778085857530716778676262808200203850,000$
17Arber Xhekaj (R)X100.007270607294908576307069776963655086002231,500,000$
18Cameron LeeX100.00635775777985858130746975696868307700261750,000$
Rayé
1Ryan LohinXXX100.0063458764726368575957576553787356200X0272750,000$
2Valeri NichushkinXX100.007638936886837675537370686775737080002831,250,000$
3Colton WhiteX100.00594295697481726330636269467473552000262900,000$
4Jack AhcanX100.0057478871658388653066657251747154510X0262900,000$
5Nick JensenX100.00664289657384936330706174488981342000332975,000$
MOYENNE D’ÉQUIPE100.0065488471768181715270687063757354700
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
1Joel Blomqvist (R)100.0086808082919090908890896368808600213850,000$
2Yaniv Perets (R)100.00877683799291909188909164645086002331,250,000$
Rayé
1Zachary Fucale100.007471717874838383837473798340200X02821,100,000$
MOYENNE D’ÉQUIPE100.008276788086888888868584697257640
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Bowness79879083827487CAN5532,000,000$


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
1Joe VelenoGulls (ANA)C/LW/RW743038681255932703531212028.50%43155220.98448191450002698254.13%21415027100.8814010157
2Linus KarlssonGulls (ANA)C/RW742838661033251431753801172657.37%49153820.80178231420117575148.72%1568027200.8627221244
3Rodion AmirovGulls (ANA)LW/RW7424396331151171752991132008.03%36149720.244711171440001653138.78%986733000.8447010140
4Nils AmanGulls (ANA)C74262955112820102220277751819.39%35133017.970668760000124252.81%17634425000.8300130132
5Mathieu PerreaultGulls (ANA)C/LW/RW74202949238850304128204821199.80%26137618.60651127137000031346.72%1223412100.7111532452
6Valeri NichushkinGulls (ANA)LW/RW702125461140180128211721349.95%36132918.9945923129000005044.09%933920000.6900000325
7Pavel BuchnevichGulls (ANA)LW/RW721520358205467193551267.77%2197013.48011117000003032.69%522915000.7226000212
8Arber XhekajGulls (ANA)D7243135-5804026520915465502.60%111175124.322358138000051100.00%03152000.4000422143
9Mathieu JosephGulls (ANA)LW/RW7121123372715229901955711510.77%2299814.071346661014444239.23%1301914010.6600201430
10Vincent IorioGulls (ANA)D7452631617511620716958792.96%154184724.974267137000067000.00%03957000.3400100102
11Vinni LettieriGulls (ANA)C/RW7410182811206410413550837.41%2586911.7501101000002050.59%5971511000.6400000004
12Adam ClendeningGulls (ANA)D6402424740651318340510.00%91119418.66033238000153000.00%01638000.4000000000
13Lane PedersonGulls (ANA)C/RW74914231355385012438877.26%116058.19000040000201247.06%17208000.7600100110
14Patrick MaroonGulls (ANA)LW/RW749122110401212589274310.11%105897.9700004000001255.56%18146000.7112000101
15Brett KulakGulls (ANA)D7431720164020215987733273.90%96142119.21213487000038100.00%01335000.2800103001
16Patrick KhodorenkoGulls (ANA)C671171812004151104415210.58%74626.9100001000022049.12%226157000.7800000000
17Jordan SubbanGulls (ANA)D6341216270044746431236.25%66116818.561018124000013100.00%02731000.2700000000
18Jack AhcanGulls (ANA)D46088180048724815250.00%6175816.4900003000135000.00%0432000.2100000001
19Dominic ToninatoGulls (ANA)C/LW/RW152461007122713187.41%516010.7200001000011048.57%3541000.7500000000
20Cameron LeeGulls (ANA)D2205513141035523712220.00%2543019.59000151000013000.00%0510000.2300011000
21Nick JensenGulls (ANA)D23022000272617750.00%1826411.520000000000000.00%0013000.1500000000
22Colton WhiteGulls (ANA)D7000600698200.00%49313.360000000003000.00%001000.00%00000000
Statistiques d’équipe totales ou en moyenne1332242410652220364200231423733248112419077.45%9522221416.68294877154145211216553431551.73%5448565475410.591127171310223234
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
1Yaniv PeretsGulls (ANA)61391460.9422.38358412114224331098350.7922460141676
2Joel BlomqvistGulls (ANA)1710500.9392.548984038622271210.66731460413
Statistiques d’équipe totales ou en moyenne78491960.9412.41448316118030551369562774742089


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 Plafond 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 ClendeningGulls (ANA)D301992-10-26No196 Lbs6 ft0NoNoYes1Pro & Farm750,000$0$0$NoLien
Arber XhekajGulls (ANA)D222001-01-30 17:09:11Yes238 Lbs6 ft4NoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$Lien / Lien NHL
Brett KulakGulls (ANA)D291994-01-06No187 Lbs6 ft2NoYesYes2Pro & Farm1,350,000$0$0$No1,350,000$Lien
Cameron LeeGulls (ANA)D261997-02-18 15:06:53No190 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Colton WhiteGulls (ANA)D261997-05-03No188 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Dominic ToninatoGulls (ANA)C/LW/RW291994-03-09No200 Lbs6 ft2NoYesYes2Pro & Farm1,100,000$0$0$No1,100,000$Lien
Jack AhcanGulls (ANA)D261997-05-18 05:09:39No185 Lbs5 ft8NoYesNo2Pro & Farm900,000$0$0$No900,000$
Joe VelenoGulls (ANA)C/LW/RW232000-01-13 13:21:04Yes194 Lbs6 ft1NoNoNo1Pro & Farm1,200,000$0$0$NoLien
Joel BlomqvistGulls (ANA)G212002-01-10 15:03:50Yes183 Lbs6 ft2NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien / Lien NHL
Jordan SubbanGulls (ANA)D281995-03-03No178 Lbs5 ft9NoYesNo2Pro & Farm1,250,000$0$0$No1,250,000$Lien
Lane PedersonGulls (ANA)C/RW261997-08-04No190 Lbs6 ft0NoYesNo2Pro & Farm900,000$0$0$No900,000$Lien
Linus KarlssonGulls (ANA)C/RW231999-11-16 14:49:08Yes179 Lbs6 ft1NoNoNo2Pro & Farm850,000$0$0$No850,000$Lien / Lien NHL
Mathieu JosephGulls (ANA)LW/RW261997-02-09No190 Lbs6 ft1NoNoNo3Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$Lien / Lien NHL
Mathieu PerreaultGulls (ANA)C/LW/RW351988-01-05No188 Lbs5 ft10NoYesNo1Pro & Farm1,250,000$0$0$NoLien / Lien NHL
Nick JensenGulls (ANA)D331990-09-21No194 Lbs6 ft0NoNoYes2Pro & Farm975,000$0$0$No975,000$Lien / Lien NHL
Nils AmanGulls (ANA)C232000-02-07 17:24:24Yes179 Lbs6 ft2NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$Lien / Lien NHL
Patrick KhodorenkoGulls (ANA)C241998-10-13 06:07:57Yes201 Lbs6 ft0NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
Patrick MaroonGulls (ANA)LW/RW351988-04-23No225 Lbs6 ft2YesNoYes1Pro & Farm1,250,000$0$0$NoLien
Pavel BuchnevichGulls (ANA)LW/RW281995-04-17No196 Lbs6 ft3NoNoNo3Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$Lien / Lien NHL
Rodion AmirovGulls (ANA)LW/RW212001-10-02 14:21:49Yes168 Lbs6 ft0YesNoNo3Pro & Farm975,000$0$0$No975,000$975,000$Lien / Lien NHL
Ryan LohinGulls (ANA)C/LW/RW271996-06-26 03:37:00No192 Lbs6 ft0NoYesNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Valeri NichushkinGulls (ANA)LW/RW281995-03-04No210 Lbs6 ft4NoNoNo3Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$Lien
Vincent IorioGulls (ANA)D202002-11-14 14:53:16Yes201 Lbs6 ft4NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$Lien / Lien NHL
Vinni LettieriGulls (ANA)C/RW281995-02-06No191 Lbs5 ft11NoNoNo3Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$Lien / Lien NHL
Yaniv PeretsGulls (ANA)G232000-03-04 17:34:31Yes181 Lbs5 ft11NoNoNo3Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$Lien / Lien NHL
Zachary FucaleGulls (ANA)G281995-05-28No187 Lbs6 ft2NoYesNo2Pro & Farm1,100,000$0$0$No1,100,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2626.46193 Lbs6 ft12.231,059,615$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mathieu PerreaultJoe VelenoLinus Karlsson35005
2Rodion AmirovNils AmanPavel Buchnevich35005
3Mathieu JosephVinni LettieriDominic Toninato20005
4Patrick MaroonPatrick KhodorenkoLinus Karlsson10014
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber XhekajVincent Iorio35050
2Cameron LeeJordan Subban30050
3Brett KulakAdam Clendening25050
4Arber XhekajVincent Iorio10041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rodion AmirovJoe VelenoLinus Karlsson50005
2Mathieu PerreaultNils AmanPavel Buchnevich50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Cameron LeeJordan Subban50005
2Arber XhekajVincent Iorio50005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joe VelenoLinus Karlsson50050
2Nils AmanRodion Amirov50050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Arber XhekajVincent Iorio50050
2Cameron LeeAdam Clendening50050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Joe Veleno60050Arber XhekajVincent Iorio60050
2Linus Karlsson40050Cameron LeeAdam Clendening40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Nils AmanRodion Amirov60014
2Joe VelenoLinus Karlsson40014
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brett KulakAdam Clendening60041
2Arber XhekajVincent Iorio40041
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rodion AmirovJoe VelenoLinus KarlssonCameron LeeJordan Subban
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rodion AmirovJoe VelenoLinus KarlssonArber XhekajVincent Iorio
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joe Veleno, Linus Karlsson, Rodion AmirovVinni Lettieri, Mathieu JosephLane Pederson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Arber Xhekaj, Vincent Iorio, Cameron LeeAdam ClendeningBrett Kulak, Jordan Subban
Tirs de pénalité
Linus Karlsson, Rodion Amirov, Joe Veleno, Patrick Maroon, Mathieu Perreault
Gardien
#1 : Joel Blomqvist, #2 : Yaniv Perets
Lignes d’attaque personnalisées en prolongation
Linus Karlsson, Joe Veleno, Rodion Amirov, Lane Pederson, Nils Aman, Pavel Buchnevich, Pavel Buchnevich, Mathieu Joseph, Vinni Lettieri, Mathieu Perreault, Patrick Maroon
Lignes de défense personnalisées en prolongation
Vincent Iorio, Arber Xhekaj, Jordan Subban, Cameron Lee, Adam Clendening


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
1Admirals2010010058-31010000024-21000010034-110.2505914107197701576121510579525190294613133.33%2150.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
2Americans11000000422110000004220000000000021.000481200719770155312151057952514010035300.00%000.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
3Barracuda422000009902020000025-32200000074340.500914230071977015166121510579525115941111309111.11%3166.67%01155222951.82%1095210252.09%568105953.64%165699915536531282639
4Bears1010000013-21010000013-20000000000000.00012310719770154012151057952512915035600.00%000.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
5Bruins10000010321000000000001000001032121.000347007197701541121510579525141120376116.67%000.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
6Canucks32000100972210001007611100000021150.8339172600719770151221215105795251131351288600.00%110.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
7Comets11000000211000000000001100000021121.000235007197701536121510579525148101021400.00%000.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
8Condors41300000111102020000048-42110000073420.25011182910719770151551215105795251156543413210110.00%7185.71%01155222951.82%1095210252.09%568105953.64%165699915536531282639
9Eagles42200000191452110000010732110000097240.5001933521071977015191121510579525118162451226116.67%5260.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
10Firebirds420010101376200010106422200000073481.000132033007197701516512151057952511444951153133.33%000.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
11Griffins210010001266100010005411100000072541.00012193100719770159512151057952518924469100.00%20100.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
12Icehogs2020000048-41010000035-21010000013-200.00047111071977015102121510579525183189665120.00%20100.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
13Islanders11000000312000000000001100000031221.000358007197701549121510579525139140255240.00%000.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
14Lions11000000532110000005320000000000021.0005101500719770154612151057952513916034200.00%000.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
15Marlies21000010743000000000002100001074341.00077140071977015981215105795251963010542150.00%5180.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
16Monsters11000000725110000007250000000000021.00071320007197701549121510579525136131425200.00%20100.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
17Moose31101000770210010006421010000013-240.667713201071977015120121510579525111220201031000.00%50100.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
18Penguins21000010853110000003121000001054141.000813210071977015871215105795251742113633266.67%4175.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
19Phantoms2020000037-41010000013-21010000024-200.00034700719770157812151057952518737883500.00%4250.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
20Reign320000101073100000103212200000075261.000101626007197701513612151057952511213915921218.33%50100.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
21Roadrunners42001100161062000110066022000000104670.87516274300719770151691215105795251175532412012325.00%7185.71%01155222951.82%1095210252.09%568105953.64%165699915536531282639
22Rocket1000000112-11000000112-10000000000010.50012300719770154512151057952514012222000.00%10100.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
23SKA22000000844220000008440000000000041.00081523007197701589121510579525174257578225.00%110.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
24Senators3110010079-2000000000003110010079-230.500711180071977015126121510579525112831251145240.00%5180.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
25Silver Knights5410000015114211000007703300000084480.80015223700719770152131215105795251230723014411218.18%9188.89%11155222951.82%1095210252.09%568105953.64%165699915536531282639
26Stars330000001459220000009361100000052361.00014264000719770151481215105795251112467858112.50%10100.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
27Thunderbirds11000000321000000000001100000032121.000358007197701540121510579525140135255240.00%000.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
28Wild22000000927110000003031100000062441.000914230171977015851215105795251872916755120.00%30100.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
29Wolf Pack220000001477110000009451100000053241.00014213500719770159912151057952518226057100.00%000.00%01155222951.82%1095210252.09%568105953.64%165699915536531282639
30Wolves3020001079-22020000047-31000001032120.3337121900719770151441215105795251126452993100.00%7271.43%01155222951.82%1095210252.09%568105953.64%165699915536531282639
31Wranglers4210010012120210001007612110000056-150.62512203200719770151851215105795251172512113212325.00%3166.67%01155222951.82%1095210252.09%568105953.64%165699915536531282639
Total74391904561248187613715120432112310221372470024012585401040.703248410658617197701532481215105795251306195238023141712916.96%841779.76%11155222951.82%1095210252.09%568105953.64%165699915536531282639
_Since Last GM Reset74391904561248187613715120432112310221372470024012585401040.703248410658617197701532481215105795251306195238023141712916.96%841779.76%11155222951.82%1095210252.09%568105953.64%165699915536531282639
_Vs Conference52261504430172133392781004320847862518500110885533700.673172287459517197701522721215105795251216866728616271141714.91%621182.26%11155222951.82%1095210252.09%568105953.64%165699915536531282639
_Vs Division27199023207964151346023203638-21415300000432617490.90779127206107197701511421215105795251111334112883363914.29%28582.14%11155222951.82%1095210252.09%568105953.64%165699915536531282639

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
74104L424841065832483061952380231461
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7439194561248187
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3715124321123102
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
37247024012585
Derniers 10 matchs
WLOTWOTL SOWSOL
450010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1712916.96%841779.76%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
121510579525171977015
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
1155222951.82%1095210252.09%568105953.64%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
165699915536531282639


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 - 2023-10-168Eagles2Gulls6BWSommaire du match
5 - 2023-10-2038Wranglers3Gulls2BLXSommaire du match
6 - 2023-10-2146Gulls3Senators5ALSommaire du match
7 - 2023-10-2252Gulls3Silver Knights2AWSommaire du match
11 - 2023-10-2679Wolves4Gulls2BLSommaire du match
14 - 2023-10-2997Gulls5Roadrunners1AWSommaire du match
15 - 2023-10-30109Stars2Gulls4BWSommaire du match
18 - 2023-11-02122Gulls5Eagles2AWSommaire du match
20 - 2023-11-04139Gulls4Firebirds2AWSommaire du match
22 - 2023-11-06148Barracuda2Gulls1BLSommaire du match
23 - 2023-11-07162Gulls4Barracuda2AWSommaire du match
25 - 2023-11-09180Moose2Gulls3BWXSommaire du match
29 - 2023-11-13201Gulls2Senators1AWSommaire du match
30 - 2023-11-14212SKA2Gulls5BWSommaire du match
33 - 2023-11-17235Firebirds2Gulls3BWXSommaire du match
34 - 2023-11-18249Gulls3Thunderbirds2AWSommaire du match
36 - 2023-11-20265Moose2Gulls3BWSommaire du match
39 - 2023-11-23285Gulls3Wolves2AWXXSommaire du match
40 - 2023-11-24298Gulls5Penguins4AWXXSommaire du match
42 - 2023-11-26309Reign2Gulls3BWXXSommaire du match
44 - 2023-11-28332Gulls5Roadrunners3AWSommaire du match
45 - 2023-11-29338Penguins1Gulls3BWSommaire du match
48 - 2023-12-02362Gulls2Senators3ALXSommaire du match
50 - 2023-12-04371Eagles5Gulls4BLSommaire du match
52 - 2023-12-06390Gulls7Griffins2AWSommaire du match
54 - 2023-12-08404Silver Knights1Gulls4BWSommaire du match
56 - 2023-12-10424Gulls3Admirals4ALXSommaire du match
57 - 2023-12-11433Gulls3Islanders1AWSommaire du match
59 - 2023-12-13441SKA2Gulls3BWSommaire du match
62 - 2023-12-16466Barracuda3Gulls1BLSommaire du match
65 - 2023-12-19482Gulls2Silver Knights1AWSommaire du match
67 - 2023-12-21498Canucks4Gulls3BLXSommaire du match
69 - 2023-12-23512Gulls1Icehogs3ALSommaire du match
71 - 2023-12-25529Gulls1Wranglers3ALSommaire du match
72 - 2023-12-26537Rocket2Gulls1BLXXSommaire du match
75 - 2023-12-29556Gulls2Comets1AWSommaire du match
76 - 2023-12-30564Griffins4Gulls5BWXSommaire du match
79 - 2024-01-02581Gulls4Eagles5ALSommaire du match
81 - 2024-01-04595Americans2Gulls4BWSommaire du match
83 - 2024-01-06614Gulls5Wolf Pack3AWSommaire du match
85 - 2024-01-08627Gulls3Firebirds1AWSommaire du match
86 - 2024-01-09636Wranglers3Gulls5BWSommaire du match
88 - 2024-01-11653Gulls4Wranglers3AWSommaire du match
90 - 2024-01-13669Silver Knights6Gulls3BLSommaire du match
93 - 2024-01-16694Firebirds2Gulls3BWXXSommaire du match
95 - 2024-01-18707Gulls3Silver Knights1AWSommaire du match
97 - 2024-01-20720Gulls2Phantoms4ALSommaire du match
99 - 2024-01-22731Roadrunners4Gulls3BLXSommaire du match
103 - 2024-01-26759Roadrunners2Gulls3BWXSommaire du match
105 - 2024-01-28775Gulls1Condors2ALSommaire du match
107 - 2024-01-30790Icehogs5Gulls3BLSommaire du match
109 - 2024-02-01807Gulls6Condors1AWSommaire du match
111 - 2024-02-03822Bears3Gulls1BLSommaire du match
114 - 2024-02-06841Gulls3Bruins2AWXXSommaire du match
116 - 2024-02-08854Gulls5Stars2AWSommaire du match
117 - 2024-02-09862Canucks2Gulls4BWSommaire du match
120 - 2024-02-12886Wolves3Gulls2BLSommaire du match
123 - 2024-02-15913Lions3Gulls5BWSommaire du match
125 - 2024-02-17923Gulls6Wild2AWSommaire du match
127 - 2024-02-19936Gulls3Barracuda2AWSommaire du match
129 - 2024-02-21951Wild0Gulls3BWSommaire du match
132 - 2024-02-24974Gulls4Reign3AWSommaire du match
134 - 2024-02-26984Monsters2Gulls7BWSommaire du match
136 - 2024-02-281003Gulls3Reign2AWSommaire du match
138 - 2024-03-011012Gulls2Canucks1AWSommaire du match
140 - 2024-03-031023Condors4Gulls2BLSommaire du match
143 - 2024-03-061045Gulls3Marlies1AWSommaire du match
144 - 2024-03-071054Stars1Gulls5BWSommaire du match
147 - 2024-03-101079Wolf Pack4Gulls9BWSommaire du match
150 - 2024-03-131103Gulls4Marlies3AWXXSommaire du match
151 - 2024-03-141111Phantoms3Gulls1BLSommaire du match
155 - 2024-03-181137Condors4Gulls2BLSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
157 - 2024-03-201148Gulls1Moose3ALSommaire du match
163 - 2024-03-261169Admirals4Gulls2BLSommaire du match
166 - 2024-03-291192Reign-Gulls-
169 - 2024-04-011205Gulls-Canucks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4218
Assistance73,70136,961
Assistance PCT99.60%99.89%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 2991 - 99.70% 127,052$4,700,925$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
4,439,007$ 2,755,000$ 2,755,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
16,017$ 2,532,057$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
127,052$ 8 27,645$ 221,160$




Gulls Leaders statistiques (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
1Joe Veleno48216325441742613491325153710.61%1391014121.0427618824150534261051.8320.82218
2Tyler Ennis4491131842974812844971912878.78%56844918.823146772140111318742.3040.70427
3Tage Thompson29616413229632124788452120813.58%56623821.0740327219600012321655.0380.95020
4Lane Pederson52889143232484221182111547.71%72732513.87123648169000012849.9300.6308
5Andrew Agozzino368100129229434016656710249.77%39654517.793341741860111621952.3340.7004

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
1Kevin Boyle2119282100.9023.3211404104631643708120.83159
2Shane Starrett1567640160.9152.6579648435241480080.00%0
3Yaniv Perets61391460.9422.38358412114224331098350.79224
4Zachary Fucale55281760.9112.7731004314316120140.84219
5Gilles Senn3422910.9142.57195801849790000.7147

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
202076381806815265223423819100341113311815381980340413210527103265485750259894667264083887189065243972156317122285423.68%2283982.89%11469281152.26%1365273749.87%655124752.53%186712961760546981502
202076381806815265223423819100341113311815381980340413210527103265485750259894667264083887189065243972156317122285423.68%2283982.89%11469281152.26%1365273749.87%655124752.53%186712961760546981502
20217645190721226719473382290221213497373823100500013397361102674867531593887810258185286483245226364263017632857425.96%2493884.74%31475279352.81%1338257152.04%606119950.54%191213381714552972494
2022763427005822612273438161300441129119103818140014113210824912614557164393798113259488484684161240867970717232746925.18%2885580.90%11566287354.51%1408269852.19%652119754.47%184012701805560972488
20237439190456124818761371512043211231022137247002401258540104248410658617197701532481215105795251306195238023141712916.96%841779.76%11155222951.82%1095210252.09%568105953.64%165699915536531282639
Total Saison régulière3781941010232817151306105425218991540121796652554981891034701111896545001545111306232136271519453452361521370346274509440528712610371528439224118628023.61%107718882.54%771341351752.78%65711284551.16%3136594952.71%914462018594285851892626
Séries éliminatoires
20201257000003841-3734000002125-45230000017161103870108201611110433151117137283931247829145920.00%361558.33%027648856.56%21342949.65%9820148.76%3222232929416683
2021201550000062392311830000033201397200000291910306211217402132223465517421024328610170128502842226.19%57885.96%038577249.87%38174950.87%16431751.74%511353480155263136
20221711600000584513862000003121109540000027243225810716521251514466120719420654541184160419821720.73%68986.76%137472551.59%34165751.90%14627353.48%443308422133228115
Total Séries éliminatoires493118000001581253326179000008566192314900000735914621582894474354484881749532521586110154447836612122114822.75%1613280.12%11035198552.14%935183550.95%40879151.58%12778861195383658334

Gulls Leaders statistiques (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
1Tyler Ennis461618341210336012712.60%1279817.3567132700012038.3320.8500
2Joe Veleno4911223314201451537.19%9109722.4119103200031250.4800.6000
3Mattias Samuelsson3491928656110567811.54%5482924.403912390000000.00%00.6800
4Tage Thompson2781321210106471057.62%862123.012462000043032.7900.6800
5Mario Ferraro27516211104055568.93%4268725.45279330000100.00%00.6100

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
1Gilles Senn2317510.9371.89143122457110000.00%0
2Zachary Fucale149410.9162.4491121374380020.00%0
3Kevin Boyle84400.8902.9141320201820010.00%0
4Shane Starrett61210.9093.1236500192090010.00%0