Connexion

Gulls
GP: 59 | W: 29 | L: 26 | OTL: 4 | P: 62
GF: 244 | GA: 234 | PP%: 28.14% | PK%: 70.81%
DG: | Morale : 40 | Moyenne d’équipe : 61
Prochains matchs #934 vs Bruins
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Centre de jeu
Gulls
29-26-4, 62pts
8
FINAL
2 Thunderbirds
35-22-1, 71pts
Team Stats
L1StreakW1
14-14-1Home Record17-11-1
15-12-3Away Record18-11-0
4-5-1Last 10 Games4-6-0
4.14Buts par match 4.78
3.97Buts contre par match 3.76
28.14%Pourcentage en avantage numérique35.23%
70.81%Pourcentage en désavantage numérique72.73%
Stars
36-14-7, 79pts
4
FINAL
2 Gulls
29-26-4, 62pts
Team Stats
W3StreakL1
20-7-3Home Record14-14-1
16-7-4Away Record15-12-3
6-2-2Last 10 Games4-5-1
4.67Buts par match 4.14
3.30Buts contre par match 3.97
26.45%Pourcentage en avantage numérique28.14%
71.95%Pourcentage en désavantage numérique70.81%
Gulls
29-26-4, 62pts
2022-10-08
Bruins
37-16-4, 78pts
Statistiques d’équipe
L1SéquenceL2
14-14-1Fiche domicile22-6-1
15-12-3Fiche visiteur15-10-3
4-5-110 derniers matchs6-4-0
4.14Buts par match 4.21
3.97Buts contre par match 4.21
28.14%Pourcentage en avantage numérique27.43%
70.81%Pourcentage en désavantage numérique75.98%
Silver Knights
30-22-5, 65pts
2022-10-10
Gulls
29-26-4, 62pts
Statistiques d’équipe
L1SéquenceL1
17-11-2Fiche domicile14-14-1
13-11-3Fiche visiteur15-12-3
6-4-010 derniers matchs4-5-1
4.35Buts par match 4.14
4.33Buts contre par match 4.14
28.91%Pourcentage en avantage numérique28.14%
61.54%Pourcentage en désavantage numérique70.81%
Gulls
29-26-4, 62pts
2022-10-12
Condors
29-26-2, 60pts
Statistiques d’équipe
L1SéquenceW1
14-14-1Fiche domicile10-18-1
15-12-3Fiche visiteur19-8-1
4-5-110 derniers matchs6-4-0
4.14Buts par match 4.37
3.97Buts contre par match 4.37
28.14%Pourcentage en avantage numérique27.89%
70.81%Pourcentage en désavantage numérique71.60%
Meneurs d'équipe
Sam CarrickButs
Sam Carrick
27
Brendan GuhlePasses
Brendan Guhle
39
Bryce KindoppPoints
Bryce Kindopp
58
Bryce KindoppPlus/Moins
Bryce Kindopp
44
Lukas DostalVictoires
Lukas Dostal
18
Lukas DostalPourcentage d’arrêts
Lukas Dostal
0.9

Statistiques d’équipe
Buts pour
244
4.14 GFG
Tirs pour
2080
35.25 Avg
Pourcentage en avantage numérique
28.1%
47 GF
Début de zone offensive
38.7%
Buts contre
234
3.97 GAA
Tirs contre
2073
35.14 Avg
Pourcentage en désavantage numérique
70.8%
47 GA
Début de la zone défensive
40.0%
Informations de l'équipe

Directeur général
EntraîneurJoel Bouchard
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure24
Limite contact 42 / 20
Espoirs0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire moyen
1Benoit-Olivier GroulxX100.006939816580798365806462686265707040650222822,500$
2Sam CarrickX100.007874636574819163756468606571734440640301750,000$
3Jacob PerreaultX99.005639786772837966586359586462648140620203894,167$
4Dominik SimonX100.006534876371768260786159586470724640620271750,000$
5Lucas ElvenesX100.006338806473788164706657546366675640610221776,667$
6Bryce KindoppX100.006337866175738761626059605964665140610222925,000$
7Brayden TraceyX98.005937845971747658535756585762647840590213863,333$
8Jack BadiniX100.006538895476667451585252535265676140560241805,000$
9Maxim GolodX100.005637895667656353575653545363655040560212793,333$
10Jamie DrysdaleX100.005534857470878670307760575363658740650202925,000$
11Josh MahuraX99.007034887170857670307063595465666040650242750,000$
12Simon BenoitX100.008742896185807964306562684565674240640231809,166$
13Brendan GuhleX100.007735846581827165306359625166686840630241800,000$
14Hunter DrewX100.007734586180788660306058605165675740610232793,333$
15Trevor CarrickX100.006641745875729058306157594669714840600271750,000$
16Axel AnderssonX100.006037906172676557305554534663657040580222772,500$
Rayé
MOYENNE D’ÉQUIPE99.75673982637577796250625959556567614061
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 moyen
1Lukas Dostal100.00767877757573757473757463686340630212822,500$
2Olle Eriksson Ek98.00697273816864676665686764704840590221773,889$
Rayé
MOYENNE D’ÉQUIPE99.0073757578726971706972716469564061
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Bouchard71686965746978CAN483900,000$


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
1Sam SteelDucksC463033632260241211874713316.04%686418.8053816570002461218.80117500021.4601000912
2Bryce KindoppGulls (ANA)RW5320385844381045421473311313.61%481415.37123946000002115.375000011.4200100125
3Jacob PerreaultGulls (ANA)RW50272754-114054872044514213.24%1593118.64671328910000123118.646200011.1601000341
4Brendan GuhleGulls (ANA)D56939488100746070286112.86%66100617.971672580000083200.00%000000.9500000015
5Sam CarrickGulls (ANA)C4927184523455105101159468916.98%1165913.45000070001295313.4567500011.3700100360
6Simon BenoitGulls (ANA)D58113243103601306513844867.97%81116720.144610561130000104100.00%000000.7400000221
7Brayden TraceyGulls (ANA)LW59181937161408251129317913.95%8108218.3525717930000144118.358100010.6800000101
8Greg PaterynDucksD3972835-2155507310835786.48%7285121.8359146690000089100.00%000000.8200001021
9Josh MahuraGulls (ANA)D252293178037345021354.00%4153321.331782253000043100.00%000001.1600000032
10Benoit-Olivier GroulxGulls (ANA)C2212152710120605585326614.12%746421.131239370004502121.1348500011.1602000320
11Trevor CarrickGulls (ANA)D59423271024057484110269.76%5669411.7710123000016110.00%000000.7800000010
12Hunter DrewGulls (ANA)D48323267440116494814366.25%5372115.03022616000036100.00%000000.7200000001
13Andrej SustrDucksD3281422130076408130439.88%5574623.3347113574000063100.00%000000.5900000011
14Dominik SimonGulls (ANA)C5916622-71203467131397412.21%105629.5400001000016209.5436400010.7801000102
15Vinni LettieriDucksC2089174100376476176710.53%545522.7502212360001620122.7557400000.7502000101
16Jacob LarssonDucksD1069150202243281718.75%1819419.433141921000022010.00%000001.5400000202
17Maxim GolodGulls (ANA)LW585914208014307526606.67%480113.831232450000111013.836800000.3500000001
18Daniel O'ReganDucksC/LW/RW16671372028346817368.82%431719.831238360001270019.834800000.8201000111
19Lucas ElvenesGulls (ANA)C596511-120162354133511.11%62884.89011012000016104.8911700000.7600000000
20Axel AnderssonGulls (ANA)D59189860812164136.25%233546.0100000000011006.01100000.5100000010
21Jamie DrysdaleGulls (ANA)D8279-4205111181318.18%817221.56235528000120000.00%000001.0400000001
22Buddy RobinsonDucksRW14156020054203310223.03%527719.800114270002200019.801400000.4302000001
23Jack BadiniGulls (ANA)C58112-54061130733.33%21823.140110500008003.142800000.2200000000
Statistiques d’équipe totales ou en moyenne95723040463417736420111411221946558133111.82%5601414514.78386910734198400012811291257.59%374200080.90010201272729
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
1Lukas DostalGulls (ANA)32181130.9003.2619332010510460200.7147320122
2Olle Eriksson EkGulls (ANA)27111410.8774.511411201068610310.75042751001
Statistiques d’équipe totales ou en moyenne59292540.8893.7933454021119070510.727115951123


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 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
Axel AnderssonGulls (ANA)D222000-02-10No178 Lbs6 ft0NoNoNo2Pro & Farm772,500$232,581$0$0$No772,500$Lien / Lien NHL
Benoit-Olivier GroulxGulls (ANA)C222000-02-06No200 Lbs6 ft2NoNoNo2Pro & Farm822,500$247,634$0$0$No822,500$Lien / Lien NHL
Brayden TraceyGulls (ANA)LW212001-05-28No177 Lbs6 ft0NoNoNo3Pro & Farm863,333$259,928$0$0$No863,333$863,333$Lien / Lien NHL
Brendan GuhleGulls (ANA)D241997-07-29No197 Lbs6 ft2NoNoNo1Pro & Farm800,000$240,860$0$0$NoLien / Lien NHL
Bryce KindoppGulls (ANA)RW221999-06-14No185 Lbs6 ft1NoNoNo2Pro & Farm925,000$278,495$0$0$No925,000$Lien / Lien NHL
Dominik SimonGulls (ANA)C271994-08-08No190 Lbs5 ft11NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Hunter DrewGulls (ANA)D231998-10-21No191 Lbs6 ft2NoNoNo2Pro & Farm793,333$238,853$0$0$No793,333$Lien / Lien NHL
Jack BadiniGulls (ANA)C241998-01-19No203 Lbs6 ft0NoNoNo1Pro & Farm805,000$242,366$0$0$NoLien / Lien NHL
Jacob PerreaultGulls (ANA)RW202002-04-15No192 Lbs5 ft11NoNoNo3Pro & Farm894,167$269,212$0$0$No894,167$894,167$Lien / Lien NHL
Jamie DrysdaleGulls (ANA)D202002-04-08No183 Lbs5 ft11NoNoNo2Pro & Farm925,000$278,495$0$0$No925,000$Lien / Lien NHL
Josh MahuraGulls (ANA)D241998-05-05No185 Lbs6 ft0NoNoNo2Pro & Farm750,000$225,806$0$0$No750,000$Lien / Lien NHL
Lucas ElvenesGulls (ANA)C221999-08-18No173 Lbs6 ft1NoNoNo1Pro & Farm776,667$233,835$0$0$NoLien / Lien NHL
Lukas DostalGulls (ANA)G212000-06-22No174 Lbs6 ft2NoNoNo2Pro & Farm822,500$247,634$0$0$No822,500$Lien / Lien NHL
Maxim GolodGulls (ANA)LW212000-08-18No168 Lbs5 ft11NoNoNo2Pro & Farm793,333$238,853$0$0$No793,333$Lien / Lien NHL
Olle Eriksson EkGulls (ANA)G221999-06-22No189 Lbs6 ft3NoNoNo1Pro & Farm773,889$232,999$0$0$NoLien / Lien NHL
Sam CarrickGulls (ANA)C301992-02-04No200 Lbs6 ft0NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Simon BenoitGulls (ANA)D231998-09-19No203 Lbs6 ft3NoNoNo1Pro & Farm809,166$243,620$0$0$NoLien / Lien NHL
Trevor CarrickGulls (ANA)D271994-07-04No171 Lbs6 ft2NoNoNo1Pro & Farm750,000$225,806$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1823.06187 Lbs6 ft11.67809,799$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brayden TraceyJacob Perreault40122
2Maxim GolodBryce Kindopp30122
3Lucas ElvenesDominik SimonJack Badini20122
4Lucas Elvenes10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh Mahura40122
2Simon BenoitBrendan Guhle30122
3Trevor CarrickHunter Drew20122
4Axel AnderssonJosh Mahura10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brayden TraceyJacob Perreault60122
2Maxim GolodBryce Kindopp40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh Mahura60122
2Simon BenoitBrendan Guhle40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Dominik SimonJacob Perreault40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh Mahura60122
2Simon BenoitBrendan Guhle40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Josh Mahura60122
240122Simon BenoitBrendan Guhle40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Dominik SimonJacob Perreault40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh Mahura60122
2Simon BenoitBrendan Guhle40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brayden TraceyJacob PerreaultJosh Mahura
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brayden TraceyJacob PerreaultJosh Mahura
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Badini, Bryce Kindopp, Lucas ElvenesJack Badini, Bryce KindoppLucas Elvenes
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Trevor Carrick, Hunter Drew, Axel AnderssonTrevor CarrickHunter Drew, Axel Andersson
Tirs de pénalité
, , Dominik Simon, Jacob Perreault, Bryce Kindopp
Gardien
#1 : , #2 : Olle Eriksson Ek
Lignes d’attaque personnalisées en prolongation
, , Dominik Simon, Jacob Perreault, Bryce Kindopp, Lucas Elvenes, Lucas Elvenes, Brayden Tracey, Jack Badini, Maxim Golod,
Lignes de défense personnalisées en prolongation
Josh Mahura, , Simon Benoit, Brendan Guhle, Trevor Carrick


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
1Admirals1010000058-3000000000001010000058-300.000591400958759348645739672352980145120.00%000.00%01040193753.69%985200549.13%519106748.64%146510521374399721366
2American1010000025-31010000025-30000000000000.000246009587593306457396723529869000.00%2150.00%01040193753.69%985200549.13%519106748.64%146510521374399721366
3Barrucada42100100221751010000035-2320001001912750.6252238600095875931846457396723513555129220630.00%6183.33%01040193753.69%985200549.13%519106748.64%146510521374399721366
4Bears2110000058-3110000004311010000015-420.5005914009587593546457396723580182034400.00%10370.00%01040193753.69%985200549.13%519106748.64%146510521374399721366
5Bruins1010000015-41010000015-40000000000000.000123009587593216457396723536111928400.00%2150.00%01040193753.69%985200549.13%519106748.64%146510521374399721366
6Canucks42200000161422110000010822110000066040.5001626420095875931266457396723514447339411327.27%13192.31%01040193753.69%985200549.13%519106748.64%146510521374399721366
7Checkers11000000312110000003120000000000021.000358009587593226457396723521108193133.33%40100.00%01040193753.69%985200549.13%519106748.64%146510521374399721366
8Chekers312000009811010000024-22110000074320.3339182700958759313464573967235100261876300.00%9188.89%01040193753.69%985200549.13%519106748.64%146510521374399721366
9Condors31200000914-52110000089-11010000015-420.3339122100958759398645739672351343816605240.00%8187.50%01040193753.69%985200549.13%519106748.64%146510521374399721366
10Crunch22000000198111100000093611000000105541.0001936550095875939164573967235662113437457.14%440.00%01040193753.69%985200549.13%519106748.64%146510521374399721366
11Eagles20101000810-2100010005411010000036-320.500815230095875937864573967235962412347228.57%6183.33%01040193753.69%985200549.13%519106748.64%146510521374399721366
12Griffins11000000642000000000001100000064221.0006111700958759339645739672354291214100.00%6266.67%01040193753.69%985200549.13%519106748.64%146510521374399721366
13Heat311010001055211000007341000100032140.66710182800958759310064573967235802214648112.50%7271.43%01040193753.69%985200549.13%519106748.64%146510521374399721366
14IceHogs2200000016610110000008531100000081741.0001628440095875937664573967235572312406350.00%6266.67%01040193753.69%985200549.13%519106748.64%146510521374399721366
15Islanders11000000431000000000001100000043121.0004610009587593416457396723520110192150.00%000.00%01040193753.69%985200549.13%519106748.64%146510521374399721366
16Marlies10001000211000000000001000100021121.00023500958759328645739672352711627300.00%3166.67%01040193753.69%985200549.13%519106748.64%146510521374399721366
17Monsters2020000048-4000000000002020000048-400.00047110095875935364573967235912431325240.00%9455.56%01040193753.69%985200549.13%519106748.64%146510521374399721366
18Moose312000001317-4211000001013-31010000034-120.333132538009587593112645739672351003518587228.57%10550.00%01040193753.69%985200549.13%519106748.64%146510521374399721366
19Penguins211000001110121100000111010000000000020.5001119300095875938064573967235831314325240.00%6266.67%01040193753.69%985200549.13%519106748.64%146510521374399721366
20Phantoms211000001091110000005321010000056-120.500101626009587593726457396723545814466350.00%7528.57%01040193753.69%985200549.13%519106748.64%146510521374399721366
21Reign30100002815-720100001511-61000000134-120.33381422009587593806457396723510230246710220.00%11372.73%01040193753.69%985200549.13%519106748.64%146510521374399721366
22Roadrunners2020000048-41010000013-21010000035-200.00046101095875938064573967235772410444125.00%4175.00%01040193753.69%985200549.13%519106748.64%146510521374399721366
23Rocket11000000211000000000001100000021121.0002240095875932864573967235259223000.00%10100.00%01040193753.69%985200549.13%519106748.64%146510521374399721366
24Senators32100000161062110000010821100000062440.66716284400958759383645739672351032420727228.57%8275.00%01040193753.69%985200549.13%519106748.64%146510521374399721366
25Silver Knights210000011511400000000000210000011511430.7501528430095875938664573967235822610369555.56%40100.00%01040193753.69%985200549.13%519106748.64%146510521374399721366
26Stars20200000211-91010000024-21010000007-700.000246009587593596457396723589212316116.67%10100.00%01040193753.69%985200549.13%519106748.64%146510521374399721366
27Thunderbirds2200000014410110000006241100000082641.00014274100958759380645739672355616143611218.18%7185.71%01040193753.69%985200549.13%519106748.64%146510521374399721366
28Wild1010000029-71010000029-70000000000000.0002350095875932664573967235612047100.00%220.00%01040193753.69%985200549.13%519106748.64%146510521374399721366
29Wolves22000000642110000002111100000043141.000610160095875937164573967235631314377114.29%5180.00%01040193753.69%985200549.13%519106748.64%146510521374399721366
Total592626031032442341029131401001116119-33013120210212811513620.525244429673109587593208064573967235207360537811881674728.14%1614770.81%01040193753.69%985200549.13%519106748.64%146510521374399721366
_Since Last GM Reset592626031032442341029131401001116119-33013120210212811513620.525244429673109587593208064573967235207360537811881674728.14%1614770.81%01040193753.69%985200549.13%519106748.64%146510521374399721366
_Vs Conference37131802103153157-418610010016980-1119780110284777340.45915327142410958759313676457396723513424151997531133127.43%942177.66%01040193753.69%985200549.13%519106748.64%146510521374399721366
_Vs Division228901103898451036000013540-5125301102544410220.5008915424300958759380864573967235777244127489661928.79%58984.48%01040193753.69%985200549.13%519106748.64%146510521374399721366

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5962L124442967320802073605378118810
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5926263103244234
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2913141001116119
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3013122102128115
Derniers 10 matchs
WLOTWOTL SOWSOL
450001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1674728.14%1614770.81%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
645739672359587593
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
1040193753.69%985200549.13%519106748.64%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
146510521374399721366


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
3 - 2022-06-0215Condors2Gulls5BWSommaire du match
5 - 2022-06-0433Heat1Gulls0BLSommaire du match
7 - 2022-06-0648Gulls4Wolves3AWSommaire du match
10 - 2022-06-0962Gulls1Monsters4ALSommaire du match
12 - 2022-06-1175Chekers4Gulls2BLSommaire du match
14 - 2022-06-1391Gulls8Barrucada3AWSommaire du match
17 - 2022-06-16109Barrucada5Gulls3BLSommaire du match
18 - 2022-06-17125Gulls1Condors5ALSommaire du match
21 - 2022-06-20139Moose7Gulls3BLSommaire du match
23 - 2022-06-22155Gulls6Barrucada3AWSommaire du match
26 - 2022-06-25175Penguins4Gulls6BWSommaire du match
27 - 2022-06-26185Gulls3Heat2AWXSommaire du match
30 - 2022-06-29204Canucks2Gulls6BWSommaire du match
34 - 2022-07-03229Gulls3Reign4ALXXSommaire du match
35 - 2022-07-04237Senators5Gulls3BLSommaire du match
37 - 2022-07-06252Gulls0Chekers2ALSommaire du match
40 - 2022-07-09270Bears3Gulls4BWSommaire du match
43 - 2022-07-12295Crunch3Gulls9BWSommaire du match
45 - 2022-07-14313Gulls3Moose4ALSommaire du match
47 - 2022-07-16325Gulls5Barrucada6ALXSommaire du match
48 - 2022-07-17335Phantoms3Gulls5BWSommaire du match
51 - 2022-07-20357Moose6Gulls7BWSommaire du match
53 - 2022-07-22377Gulls2Rocket1AWSommaire du match
55 - 2022-07-24388IceHogs5Gulls8BWSommaire du match
56 - 2022-07-25399Gulls8IceHogs1AWSommaire du match
58 - 2022-07-27418Gulls4Islanders3AWSommaire du match
60 - 2022-07-29430Wolves1Gulls2BWSommaire du match
64 - 2022-08-02456Reign6Gulls1BLSommaire du match
66 - 2022-08-04475Gulls7Chekers2AWSommaire du match
69 - 2022-08-07487Gulls6Senators2AWSommaire du match
70 - 2022-08-08497Heat2Gulls7BWSommaire du match
73 - 2022-08-11517Reign5Gulls4BLXXSommaire du match
75 - 2022-08-13535Gulls1Bears5ALSommaire du match
78 - 2022-08-16553Eagles4Gulls5BWXSommaire du match
80 - 2022-08-18563Gulls3Monsters4ALSommaire du match
82 - 2022-08-20577Gulls2Marlies1AWXSommaire du match
84 - 2022-08-22590Canucks6Gulls4BLSommaire du match
86 - 2022-08-24602Gulls3Canucks1AWSommaire du match
88 - 2022-08-26620Checkers1Gulls3BWSommaire du match
90 - 2022-08-28637Gulls10Crunch5AWSommaire du match
92 - 2022-08-30647Gulls3Roadrunners5ALSommaire du match
93 - 2022-08-31659Penguins6Gulls5BLSommaire du match
97 - 2022-09-04682Wild9Gulls2BLSommaire du match
99 - 2022-09-06695Gulls3Eagles6ALSommaire du match
101 - 2022-09-08716American5Gulls2BLSommaire du match
103 - 2022-09-10729Gulls5Admirals8ALSommaire du match
105 - 2022-09-12742Gulls11Silver Knights6AWSommaire du match
107 - 2022-09-14755Gulls3Canucks5ALSommaire du match
108 - 2022-09-15762Roadrunners3Gulls1BLSommaire du match
111 - 2022-09-18786Bruins5Gulls1BLSommaire du match
113 - 2022-09-20806Gulls4Silver Knights5ALXXSommaire du match
115 - 2022-09-22818Senators3Gulls7BWSommaire du match
117 - 2022-09-24835Gulls0Stars7ALSommaire du match
119 - 2022-09-26850Thunderbirds2Gulls6BWSommaire du match
121 - 2022-09-28869Gulls5Phantoms6ALSommaire du match
122 - 2022-09-29879Gulls6Griffins4AWSommaire du match
124 - 2022-10-01889Condors7Gulls3BLSommaire du match
127 - 2022-10-04908Gulls8Thunderbirds2AWSommaire du match
129 - 2022-10-06919Stars4Gulls2BLSommaire du match
131 - 2022-10-08934Gulls-Bruins-
133 - 2022-10-10953Silver Knights-Gulls-
135 - 2022-10-12969Gulls-Condors-
137 - 2022-10-14983Silver Knights-Gulls-
142 - 2022-10-191013Rocket-Gulls-
144 - 2022-10-211026Gulls-Penguins-
146 - 2022-10-231043Griffins-Gulls-
147 - 2022-10-241056Gulls-Checkers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2022-10-271074Comets-Gulls-
153 - 2022-10-301098Gulls-American-
154 - 2022-10-311108Islanders-Gulls-
157 - 2022-11-031129Gulls-Comets-
159 - 2022-11-051138Monsters-Gulls-
161 - 2022-11-071156Gulls-Wolves-
162 - 2022-11-081165Gulls-Reign-
164 - 2022-11-101178Marlies-Gulls-
168 - 2022-11-141203Barrucada-Gulls-
171 - 2022-11-171227Gulls-Wolf Pack-
173 - 2022-11-191237Wolf Pack-Gulls-
176 - 2022-11-221261Admirals-Gulls-
177 - 2022-11-231268Gulls-Heat-
180 - 2022-11-261287Gulls-Wild-
184 - 2022-11-301308Chekers-Gulls-



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
12 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,713,441$ 1,457,639$ 1,457,639$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,837$ 1,084,442$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 56 12,675$ 709,800$




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

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

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

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