Gulls
GP: 82 | W: 38 | L: 39 | OTL: 5 | P: 81
GF: 286 | GA: 296 | PP%: 16.39% | PK%: 82.31%
DG: Vincent Legendre | Morale : 75 | Moyenne d’équipe : 62
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Gulls
38-39-5, 81pts
4
FINAL
2 Reign
44-32-6, 94pts
Team Stats
L1StreakSOL1
19-18-4Home Record25-14-2
19-21-1Away Record19-18-4
5-5-0Last 10 Games5-4-1
3.49Buts par match 3.32
3.61Buts contre par match 3.21
16.39%Pourcentage en avantage numérique17.28%
82.31%Pourcentage en désavantage numérique79.36%
Gulls
38-39-5, 81pts
4
FINAL
6 Silver Knights
36-40-6, 78pts
Team Stats
L1StreakW2
19-18-4Home Record15-20-6
19-21-1Away Record21-20-0
5-5-0Last 10 Games2-8-0
3.49Buts par match 3.56
3.61Buts contre par match 3.61
16.39%Pourcentage en avantage numérique23.32%
82.31%Pourcentage en désavantage numérique79.01%
Meneurs d'équipe
Matt LuffButs
Matt Luff
23
Matt LuffPasses
Matt Luff
33
Matt LuffPoints
Matt Luff
56
Nils LundkvistPlus/Moins
Nils Lundkvist
12
Justus AnnunenVictoires
Justus Annunen
29
Mitchell WeeksPourcentage d’arrêts
Mitchell Weeks
0.913

Statistiques d’équipe
Buts pour
286
3.49 GFG
Tirs pour
3248
39.61 Avg
Pourcentage en avantage numérique
16.4%
39 GF
Début de zone offensive
42.2%
Buts contre
296
3.61 GAA
Tirs contre
3074
37.49 Avg
Pourcentage en désavantage numérique
82.3%
46 GA
Début de la zone défensive
40.3%
Information d’équipe

Directeur généralVincent Legendre
EntraîneurMisha Donskov
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,975
Billets de saison300


Information formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 80
Espoirs60


Historique d'équipe

Saison actuelle38-39-5 (81PTS)
Historique221-157-29 (0.543%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)1-4
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
1Laurent Dauphin45X100.00633981677287836576666268646870075650282850,000$
2Michael Mersch0X100.00744082648382836367646362667176075650313999,999$
3Hudson Fasching0X100.00733992658481846357626661636869075650281900,000$
4Alex Barre-Boulet0XXX100.00573879676691876673686460696766075640263917,000$
5A.J. Greer12X100.00777158668573836564606258636768075640271750,000$
6Trey Fix-Wolansky (R)0X100.00623775676689846662656761686466075640243838,000$
7Mackenzie MacEachern0X100.00713878637980786466675862656971075640293999,999$
8Cameron Hughes (R)0XX100.00553975666493826572686164626769075640273950,000$
9Lane Pederson (R)0X100.007541796373817857785966586167680756302611,071,000$
10Sam Poulin (R)0X100.00683879647980766654655860616264075630222950,000$
11Jaret Anderson-Dolan96XX100.00713483647278806274576360626365075620243991,000$
12Connor Zary (R)0X100.00614075637089836272646158626364075620222950,000$
13Jalen Chatfield (R)0X100.00683883667584866430686170526768075650271750,000$
14Christian Wolanin0X100.00663886647884816330675961526870075640283950,000$
15Taylor Fedun0X100.00663788607776805930605862497579075630351750,000$
16Jacob MacDonald0X100.00683882647579786330675355507072075620301925,000$
17Jacob Bernard-Docker (R)0X100.00633983637282836230605861496365075620232950,000$
18Artemi Kniazev (R)0X100.00613778616879835930605355476264075600222950,000$
Rayé
1Karson Kuhlman0XX100.00693395666779776360615869616869075640282750,000$
2John Quenneville (R)0X100.00674079607681636267655759606769075620273950,000$
3Henrik Rybinski (R)0X100.00633889577267695660585556606264075590223950,000$
4Luka Burzan (R)0X100.00623695537167625258535451526365075570231925,000$
5Reece Newkirk (R)0X100.00614073557069645464575253566264075570222950,000$
6Alexander Petrovic0X68.55817172599068865830575561477173075620312750,000$
7Cole Clayton0X100.00734177558267795330555456466365075590232999,999$
MOYENNE D’ÉQUIPE98.7467418162757979615562596058666807562
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
1Justus Annunen (R)100.0075686988747375747375746369075650231925,000$
2Mitchell Weeks100.0069585981686769686769686267075610223999,999$
Rayé
MOYENNE D’ÉQUIPE100.007263648571707271707271636807563
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Misha Donskov64717168696480CAN463500,000$


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
1Laurent DauphinGulls (ANA)C60264369531584271355932567.32%41149324.8929114013803351832055.99%202900010.9203001252
2Cameron HughesGulls (ANA)C/LW78253964420099175305962008.20%31133417.11571244115000025151.20%50000010.9600000331
3Trey Fix-WolanskyGulls (ANA)RW82233760218059128283752078.13%18121014.7714520660005753155.22%13400000.9900000434
4Matt LuffDucksLW/RW512333569360125134302692287.62%21104120.43358551360001360044.83%11600011.0812000156
5Alex Barre-BouletGulls (ANA)C/LW/RW62312455-6120521792185315014.22%21122719.795914371500001756254.49%147000000.9000000532
6Karson KuhlmanGulls (ANA)C/RW73242852-10240158163314872147.64%30131017.965611531440001272544.98%41800020.7900000315
7Lane PedersonGulls (ANA)C82182644-33401161301374110013.14%18100212.23000417000003055.43%108600010.8800000312
8Mackenzie MacEachernGulls (ANA)LW82152641-1122090108206611427.28%19105112.8300019000043152.33%8600000.7800000240
9Taylor FedunGulls (ANA)D8253338822055719725575.15%103155018.91224391210003131010.00%000000.4900000002
10Christian WolaninGulls (ANA)D4982735-420083638929578.99%76123625.23516501350000141000.00%000000.5700000111
11Nils LundkvistDucksD29330331212059434818346.25%4371924.8229112072000165000.00%000000.9200000033
12Alexander PetrovicGulls (ANA)D81626328875251647922437.59%109145517.97257231160110105110.00%000000.4400001101
13A.J. GreerGulls (ANA)LW7611203114801497013540968.15%127029.2404415680001381052.50%12000000.8800000122
14Hudson FaschingGulls (ANA)RW4218927-23156664158399511.39%1295522.763252811810141293042.45%10600200.5602001102
15Jacob Bernard-DockerGulls (ANA)D7542226-7240106554812388.33%8190612.0900029000019110.00%000000.5700000003
16Riley StillmanDucksD2041923-10235582832182212.50%3549024.522241652000051000.00%000000.9400001120
17Michael MerschGulls (ANA)LW28121022-1195595092317513.04%559921.4311215730003583050.00%9200000.7300100041
18Jacob MacDonaldGulls (ANA)D381910-112005923277153.70%3456814.9600047000036000.00%000000.3500000001
19Sam PoulinGulls (ANA)LW8254932011163392615.15%41531.8700005000071045.71%3500101.1700000010
20John QuennevilleGulls (ANA)RW21336-3401818379268.11%125312.0900000000000042.11%1900000.4700000001
21Jalen ChatfieldGulls (ANA)D7325140171018101316.67%617224.671011016000115010.00%000000.5800000101
22Artemi KniazevGulls (ANA)D18044-210029783100.00%1428215.67000441000027000.00%000000.2800000000
23Connor ZaryGulls (ANA)C45033-40031593120.00%2972.1700001000000054.26%9400000.6100000000
24Cal FooteDucksD5022060858130.00%48817.710113600006000.00%000000.4500000000
25Jaret Anderson-DolanGulls (ANA)C/LW27000-100321010.00%0301.1400001000080045.83%2400000.0000000000
26Cole ClaytonGulls (ANA)D5000-300831000.00%67715.4100000000014000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne1300268479747-255292518251895304085121208.82%7462001415.4039671064831628145261260341453.63%632900360.7517104293840
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
1Justus AnnunenGulls (ANA)63292750.9033.6736176422122750310.5008630842
2Mitchell WeeksGulls (ANA)2491100.9133.15129520687790120.00001963010
3Jacob TheutDucks20100.8825.4622002170000.0000019000
Statistiques d’équipe totales ou en moyenne89383950.9053.5449358429130710430.50088282852


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
A.J. GreerGulls (ANA)LW2712/14/1996No208 Lbs6 ft3NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Alex Barre-BouletGulls (ANA)C/LW/RW265/21/1997No180 Lbs5 ft10NoNoNo3Pro & Farm917,000$800,000$0$0$No917,000$917,000$Lien / Lien NHL
Alexander Petrovic (sur la masse salariale)Gulls (ANA)D313/3/1992No216 Lbs6 ft4NoNoNo2Pro & Farm750,000$750,000$0$0$Yes750,000$Lien / Lien NHL
Artemi KniazevGulls (ANA)D221/4/2001Yes178 Lbs5 ft11NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Cameron HughesGulls (ANA)C/LW2710/9/1996Yes160 Lbs5 ft11NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Christian WolaninGulls (ANA)D283/17/1995No190 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Cole ClaytonGulls (ANA)D232/29/2000No209 Lbs6 ft2NoNoNo2Pro & Farm999,999$999,999$0$0$No999,999$Lien / Lien NHL
Connor ZaryGulls (ANA)C229/25/2001Yes178 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Henrik RybinskiGulls (ANA)RW226/26/2001Yes172 Lbs6 ft1NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Hudson FaschingGulls (ANA)RW287/28/1995No204 Lbs6 ft3NoNoNo1Pro & Farm900,000$900,000$0$0$NoLien / Lien NHL
Jacob Bernard-DockerGulls (ANA)D236/30/2000Yes190 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Jacob MacDonaldGulls (ANA)D302/26/1993No204 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Jalen ChatfieldGulls (ANA)D275/15/1996Yes188 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Jaret Anderson-DolanGulls (ANA)C/LW249/12/1999No200 Lbs5 ft11NoNoNo3Pro & Farm991,000$550,000$0$0$No991,000$991,000$Lien / Lien NHL
John QuennevilleGulls (ANA)RW274/16/1996Yes195 Lbs6 ft1NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Justus AnnunenGulls (ANA)G233/11/2000Yes210 Lbs6 ft4NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Karson KuhlmanGulls (ANA)C/RW289/26/1995No184 Lbs5 ft10NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Lane Pederson (contrat à 1 volet)Gulls (ANA)C268/4/1997Yes192 Lbs6 ft0NoNoNo1Pro & Farm1,071,000$1,071,000$1,071,000$0$NoLien / Lien NHL
Laurent DauphinGulls (ANA)C283/27/1995No186 Lbs6 ft0NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien / Lien NHL
Luka BurzanGulls (ANA)LW231/7/2000Yes184 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Mackenzie MacEachernGulls (ANA)LW293/9/1994No193 Lbs6 ft2NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Michael MerschGulls (ANA)LW3110/2/1992No213 Lbs6 ft2NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Mitchell WeeksGulls (ANA)G226/22/2001No187 Lbs6 ft3NoNoNo3Pro & Farm999,999$999,999$0$0$No999,999$999,999$Lien / Lien NHL
Reece NewkirkGulls (ANA)C222/20/2001Yes178 Lbs6 ft0NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Sam PoulinGulls (ANA)LW222/25/2001Yes208 Lbs6 ft1NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Taylor FedunGulls (ANA)D356/4/1988No200 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Trey Fix-WolanskyGulls (ANA)RW245/26/1999Yes191 Lbs5 ft7NoNoNo3Pro & Farm838,000$550,000$0$0$No838,000$838,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2725.93193 Lbs6 ft12.07912,667$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael MerschLaurent DauphinHudson Fasching40122
2A.J. GreerCameron HughesAlex Barre-Boulet30122
3Mackenzie MacEachernLane PedersonTrey Fix-Wolansky20122
4Sam PoulinJaret Anderson-DolanLaurent Dauphin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldChristian Wolanin40122
2Taylor Fedun30122
3Jacob MacDonaldJacob Bernard-Docker20122
4Artemi KniazevJalen Chatfield10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael MerschLaurent DauphinHudson Fasching60122
2A.J. GreerCameron HughesAlex Barre-Boulet40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldChristian Wolanin60122
2Taylor Fedun40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Laurent DauphinHudson Fasching60122
2Michael MerschA.J. Greer40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldChristian Wolanin60122
2Taylor Fedun40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Laurent Dauphin60122Jalen ChatfieldChristian Wolanin60122
2Hudson Fasching40122Taylor Fedun40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Laurent DauphinHudson Fasching60122
2Michael MerschA.J. Greer40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jalen ChatfieldChristian Wolanin60122
2Taylor Fedun40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael MerschLaurent DauphinHudson FaschingJalen ChatfieldChristian Wolanin
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael MerschLaurent DauphinHudson FaschingJalen ChatfieldChristian Wolanin
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Connor Zary, Mackenzie MacEachern, Trey Fix-WolanskyConnor Zary, Mackenzie MacEachernTrey Fix-Wolansky
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob MacDonald, Jacob Bernard-Docker, Artemi KniazevJacob MacDonaldJacob Bernard-Docker, Artemi Kniazev
Tirs de pénalité
Laurent Dauphin, Hudson Fasching, Michael Mersch, A.J. Greer, Cameron Hughes
Gardien
#1 : Mitchell Weeks, #2 :
Lignes d’attaque personnalisées en prolongation
Laurent Dauphin, Hudson Fasching, Michael Mersch, A.J. Greer, Cameron Hughes, Alex Barre-Boulet, Alex Barre-Boulet, Mackenzie MacEachern, Trey Fix-Wolansky, Sam Poulin, Lane Pederson
Lignes de défense personnalisées en prolongation
Jalen Chatfield, Christian Wolanin, Taylor Fedun, , Jacob MacDonald


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
1Admirals302010001012-21010000035-22010100077020.3331018280010093886114106511051062241122623867228.57%9277.78%11660324751.12%1538309649.68%692134751.37%1986140519465761010498
2Americans20200000211-91010000016-51010000015-400.000246001009388659106511051062248425854200.00%4250.00%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
3Barracuda431000001688220000009362110000075260.75016304611100938861471065110510622413539161046116.67%80100.00%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
4Bears21100000770110000003031010000047-320.5007132001100938867810651105106224792410597114.29%5180.00%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
5Bruins2020000049-51010000034-11010000015-400.000471100100938865710651105106224612522506116.67%10190.00%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
6Checkers2200000016791100000063311000000104641.000162945001009388611810651105106224742414594125.00%6183.33%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
7Comets31200000911-21010000025-32110000076120.333916250010093886105106511051062241143124769111.11%11372.73%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
8Condors4220000015114211000008442110000077040.500152742011009388614610651105106224181493611610110.00%17476.47%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
9Crunch21100000610-4110000005321010000017-620.50061218001009388684106511051062248414640900.00%3166.67%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
10Devils21100000910-11010000005-51100000095420.50091625001009388611210651105106224842412534125.00%60100.00%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
11Eagles320000011174110000004132100000176150.83311203100100938861351065110510622411027188510220.00%80100.00%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
12Firebirds41300000711-4211000005412020000027-520.250713200010093886142106511051062241555330962015.00%13284.62%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
13Griffins2010100089-11010000035-21000100054120.500816240010093886801065110510622488151851400.00%7357.14%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
14IceHogs302010001014-41010000034-120101000710-320.3331019290010093886111106511051062241182730731119.09%8362.50%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
15Marlies22000000853110000004311100000042241.000813210010093886861065110510622481228668225.00%4175.00%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
16Monsters2110000010731010000023-11100000084420.50010203000100938869710651105106224611484212216.67%40100.00%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
17Moose312000001112-1211000007611010000046-220.333112233101009388614610651105106224952720769111.11%9366.67%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
18Penguins200010014401000000112-11000100032130.75046100010093886621065110510622463141644300.00%70100.00%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
19Phantoms20200000713-61010000046-21010000037-400.000712190010093886861065110510622487271044500.00%40100.00%11660324751.12%1538309649.68%692134751.37%1986140519465761010498
20Reign4210001014104201000105502200000095460.750142337001009388616810651105106224122473910510440.00%13192.31%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
21Roadrunners32100000131122200000010641010000035-240.6671323360010093886140106511051062249632267811327.27%110100.00%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
22Rocket22000000963110000007521100000021141.0009152400100938868910651105106224832214427228.57%7185.71%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
23Senators2110000011101110000005321010000067-120.50011203100100938867910651105106224853116545120.00%80100.00%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
24Silver Knights40300100717-102010010036-320200000411-710.12571320001009388613610651105106224134453110510220.00%13469.23%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
25Sound Tigers21100000862110000005141010000035-220.5008152300100938868510651105106224701814466116.67%6183.33%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
26Stars31200000916-720200000412-81100000054120.333913220010093886105106511051062241244228629222.22%14657.14%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
27Thunderbirds312000001011-1211000007611010000035-220.33310182810100938869110651105106224942518775120.00%8187.50%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
28Wild32100000151321100000063321100000910-140.66715264100100938861261065110510622411335145910220.00%6266.67%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
29Wolf Pack21100000550110000003211010000023-120.50059140010093886841065110510622483301945400.00%7271.43%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
30Wolves210001005321000010023-11100000030330.750581301100938866510651105106224812212377114.29%60100.00%01660324751.12%1538309649.68%692134751.37%1986140519465761010498
31Wranglers31100100101002010010068-21100000042230.5001018280010093886115106511051062241235040698225.00%18194.44%11660324751.12%1538309649.68%692134751.37%1986140519465761010498
Total82333904312286296-1041181800311136132441152104001150164-14810.4942865148003410093886324810651105106224307490660020532383916.39%2604682.31%31660324751.12%1538309649.68%692134751.37%1986140519465761010498
_Since Last GM Reset82333904312286296-1041181800311136132441152104001150164-14810.4942865148003410093886324810651105106224307490660020532383916.39%2604682.31%31660324751.12%1538309649.68%692134751.37%1986140519465761010498
_Vs Conference34161601001121127-617115000016154717511010006073-13350.515121216337011009388614091065110510622413223912278561041413.46%1021585.29%11660324751.12%1538309649.68%692134751.37%1986140519465761010498
_Vs Division16760100155550861000012022-28150100035332170.531559915402100938866691065110510622460817310137048612.50%45491.11%11660324751.12%1538309649.68%692134751.37%1986140519465761010498

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8281L128651480032483074906600205334
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8233394312286296
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4118180311136132
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4115214001150164
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2383916.39%2604682.31%3
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
1065110510622410093886
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
1660324751.12%1538309649.68%692134751.37%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1986140519465761010498


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
5 - 2023-10-1430Gulls0Silver Knights5ALSommaire du match
6 - 2023-10-1534Wolves3Gulls2BLXSommaire du match
10 - 2023-10-1959Stars4Gulls3BLSommaire du match
12 - 2023-10-2166Gulls3Roadrunners5ALSommaire du match
13 - 2023-10-2281Bruins4Gulls3BLSommaire du match
15 - 2023-10-2484Gulls8Monsters4AWSommaire du match
17 - 2023-10-26100Gulls1Bruins5ALSommaire du match
19 - 2023-10-28117Gulls3Phantoms7ALSommaire du match
21 - 2023-10-30132Gulls3Penguins2AWXSommaire du match
23 - 2023-11-01144Roadrunners4Gulls6BWSommaire du match
27 - 2023-11-05175Silver Knights3Gulls2BLXSommaire du match
29 - 2023-11-07187Penguins2Gulls1BLXXSommaire du match
32 - 2023-11-10208Phantoms6Gulls4BLSommaire du match
34 - 2023-11-12226Barracuda2Gulls6BWSommaire du match
36 - 2023-11-14234Gulls4Admirals3AWXSommaire du match
37 - 2023-11-15240Gulls3Eagles4ALXXSommaire du match
39 - 2023-11-17253Checkers3Gulls6BWSommaire du match
41 - 2023-11-19271Thunderbirds3Gulls2BLSommaire du match
44 - 2023-11-22290Rocket5Gulls7BWSommaire du match
46 - 2023-11-24299Reign2Gulls3BWXXSommaire du match
48 - 2023-11-26320Gulls4Condors2AWSommaire du match
50 - 2023-11-28336Gulls3Comets4ALSommaire du match
52 - 2023-11-30352Bears0Gulls3BWSommaire du match
54 - 2023-12-02366Eagles1Gulls4BWSommaire du match
57 - 2023-12-05386Gulls4Eagles2AWSommaire du match
59 - 2023-12-07399Gulls3IceHogs7ALSommaire du match
62 - 2023-12-10425Moose5Gulls4BLSommaire du match
65 - 2023-12-13444Gulls3Sound Tigers5ALSommaire du match
67 - 2023-12-15456Gulls2Wolf Pack3ALSommaire du match
69 - 2023-12-17476Gulls9Devils5AWSommaire du match
70 - 2023-12-18479Gulls5Griffins4AWXSommaire du match
73 - 2023-12-21508Wranglers5Gulls4BLXSommaire du match
75 - 2023-12-23523Firebirds2Gulls1BLSommaire du match
79 - 2023-12-27540Silver Knights3Gulls1BLSommaire du match
81 - 2023-12-29553Roadrunners2Gulls4BWSommaire du match
83 - 2023-12-31569Condors0Gulls5BWSommaire du match
86 - 2024-01-03588Marlies3Gulls4BWSommaire du match
88 - 2024-01-05604Moose1Gulls3BWSommaire du match
90 - 2024-01-07620Griffins5Gulls3BLSommaire du match
92 - 2024-01-09629Gulls3Admirals4ALSommaire du match
94 - 2024-01-11639Gulls3Wolves0AWSommaire du match
96 - 2024-01-13662Gulls1Crunch7ALSommaire du match
98 - 2024-01-15674Gulls10Checkers4AWSommaire du match
99 - 2024-01-16683Gulls4Bears7ALSommaire du match
103 - 2024-01-20714Gulls3Barracuda5ALSommaire du match
104 - 2024-01-21722Wolf Pack2Gulls3BWSommaire du match
106 - 2024-01-23737Americans6Gulls1BLSommaire du match
108 - 2024-01-25751Gulls5Stars4AWSommaire du match
110 - 2024-01-27770Gulls8Wild7AWSommaire du match
114 - 2024-01-31780Barracuda1Gulls3BWSommaire du match
123 - 2024-02-09803Condors4Gulls3BLSommaire du match
127 - 2024-02-13825Gulls2Rocket1AWSommaire du match
129 - 2024-02-15841Gulls6Senators7ALSommaire du match
131 - 2024-02-17858Gulls4Marlies2AWSommaire du match
133 - 2024-02-19866Gulls1Americans5ALSommaire du match
135 - 2024-02-21886Monsters3Gulls2BLSommaire du match
138 - 2024-02-24915Gulls5Reign3AWSommaire du match
139 - 2024-02-25922Admirals5Gulls3BLSommaire du match
143 - 2024-02-29952Gulls4Barracuda0AWSommaire du match
144 - 2024-03-01955Devils5Gulls0BLSommaire du match
146 - 2024-03-03973Comets5Gulls2BLSommaire du match
149 - 2024-03-06992Senators3Gulls5BWSommaire du match
151 - 2024-03-081007Stars8Gulls1BLSommaire du match
153 - 2024-03-101026Sound Tigers1Gulls5BWSommaire du match
155 - 2024-03-121038Gulls4IceHogs3AWXSommaire du match
157 - 2024-03-141054Gulls1Wild3ALSommaire du match
158 - 2024-03-151057Gulls4Moose6ALSommaire du match
160 - 2024-03-171079Gulls3Thunderbirds5ALSommaire du match
162 - 2024-03-191091Wild3Gulls6BWSommaire du match
164 - 2024-03-211105IceHogs4Gulls3BLSommaire du match
167 - 2024-03-241131Crunch3Gulls5BWSommaire du match
169 - 2024-03-261146Gulls1Firebirds3ALSommaire du match
171 - 2024-03-281162Gulls1Firebirds4ALSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
173 - 2024-03-301167Gulls3Condors5ALSommaire du match
174 - 2024-03-311180Gulls4Comets2AWSommaire du match
176 - 2024-04-021195Gulls4Wranglers2AWSommaire du match
179 - 2024-04-051215Firebirds2Gulls4BWSommaire du match
181 - 2024-04-071235Thunderbirds3Gulls5BWSommaire du match
183 - 2024-04-091249Reign3Gulls2BLSommaire du match
186 - 2024-04-121268Wranglers3Gulls2BLSommaire du match
187 - 2024-04-131281Gulls4Reign2AWSommaire du match
192 - 2024-04-181311Gulls4Silver Knights6ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance81,45140,544
Assistance PCT99.33%98.89%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2975 - 99.18% 80,623$3,305,541$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,996,634$ 2,282,100$ 2,117,500$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,886$ 2,491,165$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 14,490$ 0$




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
1Alex Barre-Boulet1701029719914208950674313.73%60370521.802126471360221012754.58%41.0735
2Cameron Hughes24278114192425625449172310.79%82349414.4412172982000211554.58%11.1011
3Christian Wolanin18428124152201083272433378.31%311430823.421328411590002220.00%00.7100
4Matt Luff123668314920602632977259.10%63263921.4614163012611276147.86%41.1325
5Hudson Fasching1926779146335418827558311.49%54331617.27513186610187248.80%10.8813

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
1Adin Hill67312940.9073.67362610222223890420.8577
2Justus Annunen63292750.9033.6736176422122750310.5008
3David Hrenak3820920.9203.011836209211480200.7504
4Calvin Pickard41181540.8943.9222494114713830010.0000
5Malcolm Subban2012220.9153.24109200596950000.63219

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
238234310555231829820411913051211621293341151800431156169-139531856187922118939716324410581074106376324896169520822475823.48%3046977.30%21607318550.46%1532329746.47%667137548.51%1937136420345801006499
238240280354230227626412213032011581352341181500341144141310130253283422102969792987103295697547276976858920072635019.01%2394680.75%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
20228235340562034930940411917031101821622041161702510167147209034963598421136108989318210421007109844304584658619612516224.70%2436174.90%11606305752.54%1577307651.27%750140553.38%2038145018935731021519
20228244250234433329142412111023221651372841231400022168154141073336009332113310193830779811044103055286279957818912436727.57%2576176.26%41583301552.50%1573298152.77%792144854.70%2047144418875821041533
202382333904312286296-1041181800311136132441152104001150164-14812865148003410093886324810651105106224307490660020532383916.39%2604682.31%31660324751.12%1538309649.68%692134751.37%1986140519465761010498
Total Saison régulière410186157019221610158814701182059972013106580369510820587850612105785775104741588284244301110589491473481573851785186522824614998428030489994124227622.22%130328378.28%1181391559552.19%77921536350.72%3653695952.49%1006671099616289451332590
Séries éliminatoires
2022514000001315-22110000054130300000811-321323360055301817562440159364312018316.67%18572.22%09819251.04%7717145.03%417157.75%12487109376633
Total Séries éliminatoires514000001315-22110000054130300000811-321323360055301817562440159364312018316.67%18572.22%09819251.04%7717145.03%417157.75%12487109376633

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

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