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Gulls
GP: 72 | W: 62 | L: 7 | OTL: 3 | P: 127
GF: 393 | GA: 166 | PP%: 26.00% | PK%: 84.52%
DG: Olivier | Morale : 50 | Moyenne d’équipe : 63
Prochains matchs #1164 vs Thunderbirds
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Centre de jeu
Wranglers
12-60-1, 25pts
0
FINAL
10 Gulls
62-7-3, 127pts
Team Stats
L3StreakW4
7-27-1Home Record30-4-1
5-33-0Away Record32-3-2
1-9-0Last 10 Games9-1-0
3.18Goals Per Game5.46
7.04Goals Against Per Game2.31
23.33%Power Play Percentage26.00%
65.38%Penalty Kill Percentage84.52%
Moose
38-29-6, 82pts
1
FINAL
4 Gulls
62-7-3, 127pts
Team Stats
L3StreakW4
19-14-3Home Record30-4-1
19-15-3Away Record32-3-2
4-4-2Last 10 Games9-1-0
5.00Goals Per Game5.46
4.38Goals Against Per Game2.31
20.31%Power Play Percentage26.00%
80.53%Penalty Kill Percentage84.52%
Thunderbirds
60-10-1, 121pts
2023-03-25
Gulls
62-7-3, 127pts
Statistiques d’équipe
SOL1SéquenceW4
33-3-0Fiche domicile30-4-1
27-7-1Fiche visiteur32-3-2
6-3-110 derniers matchs9-1-0
6.20Buts par match 5.46
2.68Buts contre par match 2.31
28.87%Pourcentage en avantage numérique26.00%
82.50%Pourcentage en désavantage numérique84.52%
Eagles
16-55-1, 33pts
2023-03-27
Gulls
62-7-3, 127pts
Statistiques d’équipe
L10SéquenceW4
8-28-1Fiche domicile30-4-1
8-27-0Fiche visiteur32-3-2
0-10-010 derniers matchs9-1-0
4.17Buts par match 5.46
7.81Buts contre par match 2.31
11.71%Pourcentage en avantage numérique26.00%
74.47%Pourcentage en désavantage numérique84.52%
Gulls
62-7-3, 127pts
2023-03-30
Firebirds
7-61-3, 17pts
Statistiques d’équipe
W4SéquenceL1
30-4-1Fiche domicile3-31-1
32-3-2Fiche visiteur4-30-2
9-1-010 derniers matchs1-9-0
5.46Buts par match 3.38
2.31Buts contre par match 7.62
26.00%Pourcentage en avantage numérique18.35%
84.52%Pourcentage en désavantage numérique68.42%
Meneurs d'équipe
Petr MrazekVictoires
Petr Mrazek
62
David HrenakPourcentage d’arrêts
David Hrenak
1

Statistiques d’équipe
Buts pour
393
5.46 GFG
Tirs pour
3546
49.25 Avg
Pourcentage en avantage numérique
26.0%
39 GF
Début de zone offensive
45.0%
Buts contre
166
2.31 GAA
Tirs contre
1913
26.57 Avg
Pourcentage en désavantage numérique
84.5%
26 GA
Début de la zone défensive
35.0%
Informations de l'équipe

Directeur généralOlivier
DivisionPacifique
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro33
Équipe Mineure18
Limite contact 51 / 250
Espoirs37


Historique d'équipe

Saison actuelle62-7-3 (127PTS)
Historique380-215-49 (0.590%)
Apparitions en séries éliminatoires 6
Historique en séries éliminatoires (W-L)37-37
Coupe Stanley1


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
1Austin WatsonXXX100.008983666387798462596365846173710506702921,500,000$
2Laurent DauphinX100.00633981687287796681676573646869050660261750,000$
3Carter RowneyXX100.00783692618380746277656381627473050660321825,000$
4Emil BemstromXX100.006437927073787967716268596763640506502211,633,333$
5Charles HudonX100.00593977687094936672656763716970050650271750,000$
6Kiefer Sherwood (R)X100.00763881667369866571676461656768050650262750,000$
7Jack QuinnXX100.005937847071897168726770617261630506502031,744,167$
8Trent FredericXX100.007782686687788664696265636164660506502321,050,000$
9Michael MerschX100.00744179658388896466636562657075050650291675,000$
10Joshua Ho-SangX100.00583682666981756853676556686667050640251700,000$
11Matthew PecaXX100.00663594646779846371675960626971050640283750,000$
12Jonatan Berggren (R)XXX100.00623784697189856873676256696264050640213925,000$
13Alexander RomanovX100.008842816879909266306856765362640506602111,177,500$
14Andrej SekeraX100.006335926473858163306259785384760506503511,500,000$
15Brendan GuhleX100.00773583648082716330615662516567050630241800,000$
16Paul LaDueX100.00794092598381795830595766506972050630291750,000$
17Olli JuoleviX100.00673991657780716430636162556466050630231750,000$
18Nils Lundkvist (R)X100.006237866771828466306559635062640506302131,775,000$
Rayé
1Aliaksei ProtasX100.00805292639779836375626163596163050640203888,333$
2Alexander HoltzX100.006237916773917865566364576661620506301931,775,000$
3Sean MaloneXX100.00633470667478716575646359656769050630262750,000$
4Tyler MaddenX100.00633693646981756371625958646365050620212925,000$
5Christopher WilkieX100.00633882597278695852605756596668050600251650,000$
6Givani SmithXX100.00848360568374785755585956616365050600232750,000$
7Danick MartelX100.00584264566789815760585954566870050590261650,000$
8Kevin GravelX100.00783982548770885530565359467072050610293750,000$
9Ian McCoshenX100.00784370548764815330565157456769050590261700,000$
MOYENNE D’ÉQUIPE100.0070438264778180635663616360676805064
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
1Petr Mrazek100.00847471788382848382848376840506902933,800,000$
2David Hrenak (R)100.0075656679747375747375746471050640232925,000$
Rayé
1Felix Sandstrom100.0074777679737274737274736573050640243750,000$
2Justus Annunen100.00747574887372747372747362670506402121,050,000$
3Jacob Ingham100.0068656684676668676668676367050600212850,000$
4Ryan Bednard100.0065676691646365646365646573050590241925,000$
MOYENNE D’ÉQUIPE100.007371708372717372717372667305063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Austin WatsonGulls (ANA)C/LW/RW7260551158775530421546312634712.96%22167923.321041447129000514713458.63%163400071.37040011764
2Laurent DauphinGulls (ANA)C725058108741601192203869827712.95%20145020.156713431170224868262.00%172900011.4914000786
3Carter RowneyGulls (ANA)C/RW7246581047400321323369925113.69%31131118.21581339128202917710168.78%45800031.5914000877
4Charles HudonGulls (ANA)LW72335891781401091023017821310.96%7137119.05459261210001251367.39%9200011.3300000543
5Emil BemstromGulls (ANA)C/RW7133518475160631133009420511.00%9135619.106612321140001154258.95%9500011.2400000334
6Alexander RomanovGulls (ANA)D7214587267600269921365211910.29%81177724.6831013461360111131200.00%000010.8100000554
7Andrej SekeraGulls (ANA)D72125668691003184169551237.10%94179824.982911471350002151210.00%000100.7600000306
8Brendan GuhleGulls (ANA)D721156679818013457105386310.48%59149320.7401111191110001132210.00%000000.9000000424
9Trent FredericGulls (ANA)C/LW72283058415402001172346816711.97%12101514.10000120112382161.05%106800001.1400000241
10Kiefer SherwoodGulls (ANA)LW72193655571207561199561519.55%7113015.70268201091013563157.53%7300100.9724000012
11Paul LaDueGulls (ANA)D7284654962401265512439836.45%89148620.64145231090111128100.00%000000.7300000044
12Matthew PecaGulls (ANA)C/LW6812405250202166159551457.55%2115617.01257982000013063.92%15800000.9000000232
13Michael MerschGulls (ANA)LW681932516019510863213781818.92%689813.21000000113111162.69%6700001.1400010232
14Jonatan BerggrenGulls (ANA)C/LW/RW72213051366020802105915510.00%496913.4700000000003163.16%17100011.0500000201
15Jack QuinnGulls (ANA)LW/RW4317274438001859172411449.88%967615.720008201011112051.02%4900001.3000000231
16Nils LundkvistGulls (ANA)D705323745200100507620416.58%55104514.9300000000141200.00%000000.7100000003
17Olli JuoleviGulls (ANA)D725283351360123446823507.35%60105414.650000400009200.00%000000.6300000001
18Joshua Ho-SangGulls (ANA)RW721514292700540105269414.29%35768.0100000000003065.00%4000001.0100000012
19Aliaksei ProtasGulls (ANA)C69810188140346577318410.39%674210.76000000000240062.52%62700000.4800000012
20Sean MaloneGulls (ANA)C/LW57115161040351155124520.00%12925.1400000000000159.09%2200001.0900000000
21Alexander HoltzGulls (ANA)RW6203340048195210.00%21322.1400013000000051.28%3900000.4500000000
Statistiques d’équipe totales ou en moyenne144442778312101145400101930173439071153295910.93%5792341516.22417511636113284610351189641961.44%6322002151.03416011625559
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
1Petr MrazekGulls (ANA)7262720.9142.2742852516218940220.75012720031
2David HrenakGulls (ANA)20011.0000.00%56000170000.7504072000
Statistiques d’équipe totales ou en moyenne7462730.9152.2443422516219110220.750167272031


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
Alexander HoltzGulls (ANA)RW192002-01-23No195 Lbs6 ft0NoNoNo3Pro & Farm1,775,000$0$0$No1,775,000$1,775,000$Lien / Lien NHL
Alexander RomanovGulls (ANA)D212000-01-06No209 Lbs6 ft1NoNoNo1Pro & Farm1,177,500$0$0$NoLien / Lien NHL
Aliaksei ProtasGulls (ANA)C202001-01-06No225 Lbs6 ft6NoNoNo3Pro & Farm888,333$0$0$No888,333$888,333$Lien / Lien NHL
Andrej SekeraGulls (ANA)D351986-06-08No200 Lbs6 ft0NoNoNo1Pro & Farm1,500,000$0$0$NoLien / Lien NHL
Austin WatsonGulls (ANA)C/LW/RW291992-01-13No204 Lbs6 ft4NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$Lien / Lien NHL
Brendan GuhleGulls (ANA)D241997-07-29No197 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Carter RowneyGulls (ANA)C/RW321989-05-10No208 Lbs6 ft2NoNoNo1Pro & Farm825,000$0$0$NoLien / Lien NHL
Charles HudonGulls (ANA)LW271994-06-23No190 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Christopher WilkieGulls (ANA)RW251996-07-10No190 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Danick MartelGulls (ANA)LW261994-12-12No184 Lbs5 ft9NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
David HrenakGulls (ANA)G231998-05-05Yes192 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien NHL
Emil BemstromGulls (ANA)C/RW221999-06-01No193 Lbs6 ft0NoNoNo1Pro & Farm1,633,333$0$0$NoLien / Lien NHL
Felix SandstromGulls (ANA)G241997-01-12No191 Lbs6 ft2NoNoNo3Pro & Farm750,000$0$0$No775,000$775,000$Lien / Lien NHL
Givani SmithGulls (ANA)LW/RW231998-02-27No215 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Ian McCoshenGulls (ANA)D261995-08-05No218 Lbs6 ft3NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Jack QuinnGulls (ANA)LW/RW202001-09-19No185 Lbs6 ft0NoNoNo3Pro & Farm1,744,167$0$0$No1,744,167$1,744,167$Lien / Lien NHL
Jacob InghamGulls (ANA)G212000-06-10No186 Lbs6 ft4NoNoNo2Pro & Farm850,000$0$0$No850,000$Lien / Lien NHL
Jonatan BerggrenGulls (ANA)C/LW/RW212000-07-16Yes195 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien NHL
Joshua Ho-SangGulls (ANA)RW251996-01-22No173 Lbs6 ft0NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Justus AnnunenGulls (ANA)G212000-03-11No210 Lbs6 ft4NoNoNo2Pro & Farm1,050,000$0$0$No1,050,000$Lien / Lien NHL
Kevin GravelGulls (ANA)D291992-03-06No205 Lbs6 ft4NoNoNo3Pro & Farm750,000$0$0$No762,500$762,500$Lien / Lien NHL
Kiefer SherwoodGulls (ANA)LW261995-03-31Yes194 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Laurent DauphinGulls (ANA)C261995-03-27No186 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Matthew PecaGulls (ANA)C/LW281993-04-27No181 Lbs5 ft10NoNoNo3Pro & Farm750,000$0$0$No762,500$762,500$Lien / Lien NHL
Michael MerschGulls (ANA)LW291992-10-02No213 Lbs6 ft2NoNoNo1Pro & Farm675,000$0$0$NoLien / Lien NHL
Nils LundkvistGulls (ANA)D212000-07-27Yes187 Lbs5 ft11NoNoNo3Pro & Farm1,775,000$0$0$No1,775,000$1,775,000$Lien NHL
Olli JuoleviGulls (ANA)D231998-05-05No182 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Paul LaDueGulls (ANA)D291992-09-06No200 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Petr MrazekGulls (ANA)G291992-02-14No188 Lbs6 ft2NoNoNo3Pro & Farm3,800,000$0$0$No3,800,000$3,800,000$Lien / Lien NHL
Ryan BednardGulls (ANA)G241997-03-31No207 Lbs6 ft5NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Sean MaloneGulls (ANA)C/LW261995-04-30No197 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Trent FredericGulls (ANA)C/LW231998-02-11No216 Lbs6 ft3NoNoNo2Pro & Farm1,050,000$0$0$No1,050,000$Lien / Lien NHL
Tyler MaddenGulls (ANA)C211999-11-09No152 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3324.79196 Lbs6 ft11.821,058,889$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Charles HudonAustin WatsonJack Quinn30122
2Kiefer SherwoodCarter RowneyEmil Bemstrom30122
3Michael MerschLaurent DauphinJonatan Berggren20122
4Matthew PecaTrent FredericJoshua Ho-Sang20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovAndrej Sekera30122
2Brendan GuhlePaul LaDue30122
3Olli JuoleviNils Lundkvist20122
4Alexander RomanovAndrej Sekera20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Charles HudonAustin WatsonJack Quinn60113
2Kiefer SherwoodLaurent DauphinCarter Rowney40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovAndrej Sekera60113
2Brendan GuhlePaul LaDue40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Austin WatsonJack Quinn60131
2Carter RowneyCharles Hudon40131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovAndrej Sekera60131
2Brendan GuhlePaul LaDue40131
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Austin Watson60122Alexander RomanovAndrej Sekera60122
2Carter Rowney40122Brendan GuhlePaul LaDue40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Austin WatsonJack Quinn60122
2Carter RowneyCharles Hudon40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Alexander RomanovAndrej Sekera60122
2Brendan GuhlePaul LaDue40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack QuinnAustin WatsonCarter RowneyAlexander RomanovAndrej Sekera
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jack QuinnAustin WatsonCarter RowneyAlexander RomanovAndrej Sekera
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Emil Bemstrom, Trent Frederic, Charles HudonEmil Bemstrom, Trent FredericEmil Bemstrom
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Paul LaDue, Olli Juolevi, Nils LundkvistPaul LaDuePaul LaDue, Olli Juolevi
Tirs de pénalité
Austin Watson, Carter Rowney, Laurent Dauphin, Jack Quinn, Emil Bemstrom
Gardien
#1 : Petr Mrazek, #2 : David Hrenak


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
1Admirals330000002341922000000184141100000050561.000234467011791288352631148125111323154156609222.22%000.00%01723277562.09%1307215760.59%758123161.58%213816041326443879482
2Americans220000001358110000008261100000053241.0001325380017912883511511481251113231512512533266.67%60100.00%01723277562.09%1307215760.59%758123161.58%213816041326443879482
3Barracuda42100010141312010001067-12200000086260.7501423371017912883513211481251113231135343811510330.00%19289.47%11723277562.09%1307215760.59%758123161.58%213816041326443879482
4Bears220000001046110000007251100000032141.000101727001791288359411481251113231531210545120.00%40100.00%01723277562.09%1307215760.59%758123161.58%213816041326443879482
5Bruins21000001550110000003211000000123-130.75051015001791288356111481251113231531912556233.33%5260.00%01723277562.09%1307215760.59%758123161.58%213816041326443879482
6Canucks3300000026719110000001129220000001551061.0002650760017912883521911481251113231892014752150.00%70100.00%01723277562.09%1307215760.59%758123161.58%213816041326443879482
7Checkers220000001257110000003211100000093641.00012233500179128835751148125111323149131848000.00%60100.00%01723277562.09%1307215760.59%758123161.58%213816041326443879482
8Comets210001006601000010023-11100000043130.75061117001791288359111481251113231651113476233.33%4175.00%01723277562.09%1307215760.59%758123161.58%213816041326443879482
9Condors220000002011911000000909110000001111041.0002033530117912883514211481251113231314653000.00%2150.00%01723277562.09%1307215760.59%758123161.58%213816041326443879482
10Crunch220000001046110000003121100000073441.00010192900179128835751148125111323158196595120.00%20100.00%01723277562.09%1307215760.59%758123161.58%213816041326443879482
11Eagles11000000918000000000001100000091821.00091726001791288357811481251113231264423000.00%10100.00%01723277562.09%1307215760.59%758123161.58%213816041326443879482
12Firebirds3300000031724220000002161511000000101961.000315687001791288352161148125111323166221693300.00%70100.00%11723277562.09%1307215760.59%758123161.58%213816041326443879482
13Griffins22000000633110000003211100000031241.00061218001791288356311481251113231522612472150.00%6183.33%01723277562.09%1307215760.59%758123161.58%213816041326443879482
14IceHogs33000000181262200000012931100000063361.00018345200179128835137114812511132311032914817228.57%7185.71%01723277562.09%1307215760.59%758123161.58%213816041326443879482
15Islanders211000007701010000024-21100000053220.50071219101791288357111481251113231561512647228.57%6266.67%11723277562.09%1307215760.59%758123161.58%213816041326443879482
16Marlies21001000752100010004311100000032141.0007132000179128835831148125111323147118417228.57%4175.00%01723277562.09%1307215760.59%758123161.58%213816041326443879482
17Monsters21000010844110000004131000001043141.00081422001791288357111481251113231361810567228.57%4250.00%01723277562.09%1307215760.59%758123161.58%213816041326443879482
18Moose330000001147110000004132200000073461.000112031001791288351631148125111323176171269400.00%6183.33%01723277562.09%1307215760.59%758123161.58%213816041326443879482
19Penguins2110000057-21010000026-41100000031220.5005914001791288355111481251113231612114517228.57%7271.43%01723277562.09%1307215760.59%758123161.58%213816041326443879482
20Phantoms21100000550110000004221010000013-220.500571200179128835781148125111323152186507114.29%30100.00%01723277562.09%1307215760.59%758123161.58%213816041326443879482
21Reign22000000954110000005231100000043141.00091827001791288357011481251113231622010585240.00%5260.00%01723277562.09%1307215760.59%758123161.58%213816041326443879482
22Roadrunners220000001165110000005411100000062441.000112031001791288357611481251113231522516338225.00%7185.71%01723277562.09%1307215760.59%758123161.58%213816041326443879482
23Rocket220000001731411000000100101100000073441.000173148011791288351311148125111323147131642000.00%80100.00%11723277562.09%1307215760.59%758123161.58%213816041326443879482
24Senators2110000067-1110000003211010000035-220.500611170017912883567114812511132316871050200.00%50100.00%01723277562.09%1307215760.59%758123161.58%213816041326443879482
25Silver Knights321000009811010000023-12200000075240.667916250017912883512311481251113231852616687114.29%8275.00%01723277562.09%1307215760.59%758123161.58%213816041326443879482
26Stars330000002481611000000642220000001841461.0002444680017912883519511481251113231622118697342.86%7185.71%01723277562.09%1307215760.59%758123161.58%213816041326443879482
27Thunderbirds2100000110820000000000021000001108230.75010203000179128835921148125111323164256508337.50%3166.67%01723277562.09%1307215760.59%758123161.58%213816041326443879482
28Wild32100000743220000007251010000002-240.6677132000179128835881148125111323197281066500.00%50100.00%01723277562.09%1307215760.59%758123161.58%213816041326443879482
29Wolf Pack220000001138110000005141100000062441.000112233001791288359811481251113231612310383133.33%40100.00%01723277562.09%1307215760.59%758123161.58%213816041326443879482
30Wolves2200000018117110000009091100000091841.000183351011791288351281148125111323150181058500.00%4175.00%01723277562.09%1307215760.59%758123161.58%213816041326443879482
31Wranglers330000002542122000000161151100000093661.0002544690117912883520011481251113231521214673133.33%6266.67%01723277562.09%1307215760.59%758123161.58%213816041326443879482
Total72597011223931662273528401110194781163731300012199881111270.882393721111425179128835354611481251113231191357137917931503926.00%1682684.52%41723277562.09%1307215760.59%758123161.58%213816041326443879482
_Since Last GM Reset72597011223931662273528401110194781163731300012199881111270.882393721111425179128835354611481251113231191357137917931503926.00%1682684.52%41723277562.09%1307215760.59%758123161.58%213816041326443879482
_Vs Conference4238300010261881732118200010134478721201000001274186780.9292614777381417912883522931148125111323110923212161035771823.38%971584.54%21723277562.09%1307215760.59%758123161.58%213816041326443879482
_Vs Division20202000101134766982000105224281112000000612338421.0501132123250117912883510921148125111323153416486451481225.00%36586.11%01723277562.09%1307215760.59%758123161.58%213816041326443879482

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
72127W4393721111435461913571379179325
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
725971122393166
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
35284111019478
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
37313001219988
Derniers 10 matchs
WLOTWOTL SOWSOL
910000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1503926.00%1682684.52%4
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
11481251113231179128835
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
1723277562.09%1307215760.59%758123161.58%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
213816041326443879482


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
6 - 2022-10-129Firebirds2Gulls9BWSommaire du match
9 - 2022-10-1532Gulls5Islanders3AWSommaire du match
11 - 2022-10-1739Gulls6Wolf Pack2AWSommaire du match
12 - 2022-10-1848Gulls4Comets3AWSommaire du match
14 - 2022-10-2059Gulls2Bruins3ALXXSommaire du match
17 - 2022-10-2388Gulls3Griffins1AWSommaire du match
20 - 2022-10-26110Crunch1Gulls3BWSommaire du match
22 - 2022-10-28121Gulls5Silver Knights4AWSommaire du match
24 - 2022-10-30142Marlies3Gulls4BWXSommaire du match
26 - 2022-11-01158Gulls3Barracuda2AWSommaire du match
28 - 2022-11-03171Gulls7Canucks1AWSommaire du match
30 - 2022-11-05188Gulls5Barracuda4AWSommaire du match
31 - 2022-11-06192Checkers2Gulls3BWSommaire du match
34 - 2022-11-09210Wild1Gulls3BWSommaire du match
37 - 2022-11-12234IceHogs5Gulls7BWSommaire du match
40 - 2022-11-15255Griffins2Gulls3BWSommaire du match
42 - 2022-11-17266Gulls5Moose2AWSommaire du match
44 - 2022-11-19282Gulls4Thunderbirds5ALXXSommaire du match
46 - 2022-11-21296Gulls6Thunderbirds3AWSommaire du match
48 - 2022-11-23314Wolf Pack1Gulls5BWSommaire du match
50 - 2022-11-25323Senators2Gulls3BWSommaire du match
52 - 2022-11-27343Firebirds4Gulls12BWSommaire du match
54 - 2022-11-29356Gulls5Admirals0AWSommaire du match
56 - 2022-12-01371Gulls9Stars1AWSommaire du match
58 - 2022-12-03379Gulls0Wild2ALSommaire du match
59 - 2022-12-04392Gulls2Moose1AWSommaire du match
61 - 2022-12-06410Wolves0Gulls9BWSommaire du match
64 - 2022-12-09433Barracuda3Gulls4BWXXSommaire du match
67 - 2022-12-12451Gulls3Senators5ALSommaire du match
68 - 2022-12-13454Gulls3Marlies2AWSommaire du match
70 - 2022-12-15469Gulls7Rocket3AWSommaire du match
72 - 2022-12-17486Gulls11Condors1AWSommaire du match
75 - 2022-12-20516Gulls4Reign3AWSommaire du match
76 - 2022-12-21524Wild1Gulls4BWSommaire du match
78 - 2022-12-23544Wranglers1Gulls6BWSommaire du match
83 - 2022-12-28562Silver Knights3Gulls2BLSommaire du match
85 - 2022-12-30574Admirals3Gulls6BWSommaire du match
88 - 2023-01-02597Phantoms2Gulls4BWSommaire du match
90 - 2023-01-04611Stars4Gulls6BWSommaire du match
92 - 2023-01-06627Barracuda4Gulls2BLSommaire du match
94 - 2023-01-08644Bruins2Gulls3BWSommaire du match
97 - 2023-01-11660Condors0Gulls9BWSommaire du match
99 - 2023-01-13675Comets3Gulls2BLXSommaire du match
102 - 2023-01-16700Gulls3Penguins1AWSommaire du match
103 - 2023-01-17705Gulls1Phantoms3ALSommaire du match
105 - 2023-01-19717Gulls4Monsters3AWXXSommaire du match
107 - 2023-01-21732Gulls5Americans3AWSommaire du match
110 - 2023-01-24763Gulls6Roadrunners2AWSommaire du match
112 - 2023-01-26776Gulls9Eagles1AWSommaire du match
114 - 2023-01-28796Roadrunners4Gulls5BWSommaire du match
123 - 2023-02-06811Gulls9Stars3AWSommaire du match
124 - 2023-02-07818Gulls6IceHogs3AWSommaire du match
127 - 2023-02-10831Penguins6Gulls2BLSommaire du match
129 - 2023-02-12849Gulls2Silver Knights1AWSommaire du match
132 - 2023-02-15868Americans2Gulls8BWSommaire du match
134 - 2023-02-17882Reign2Gulls5BWSommaire du match
137 - 2023-02-20902Gulls9Checkers3AWSommaire du match
138 - 2023-02-21908Gulls7Crunch3AWSommaire du match
140 - 2023-02-23920Gulls3Bears2AWSommaire du match
142 - 2023-02-25939Gulls9Wolves1AWSommaire du match
144 - 2023-02-27957IceHogs4Gulls5BWSommaire du match
146 - 2023-03-01973Bears2Gulls7BWSommaire du match
148 - 2023-03-03987Rocket0Gulls10BWSommaire du match
152 - 2023-03-071021Gulls10Firebirds1AWSommaire du match
153 - 2023-03-081024Gulls8Canucks4AWSommaire du match
155 - 2023-03-101037Gulls9Wranglers3AWSommaire du match
157 - 2023-03-121060Admirals1Gulls12BWSommaire du match
160 - 2023-03-151079Islanders4Gulls2BLSommaire du match
162 - 2023-03-171094Monsters1Gulls4BWSommaire du match
164 - 2023-03-191114Canucks2Gulls11BWSommaire du match
166 - 2023-03-211131Wranglers0Gulls10BWSommaire du match
168 - 2023-03-231146Moose1Gulls4BWSommaire du match
170 - 2023-03-251164Thunderbirds-Gulls-
172 - 2023-03-271174Eagles-Gulls-
175 - 2023-03-301198Gulls-Firebirds-
177 - 2023-04-011216Gulls-Condors-
178 - 2023-04-021225Gulls-Wranglers-
181 - 2023-04-051242Condors-Gulls-
184 - 2023-04-081260Gulls-Roadrunners-
185 - 2023-04-091274Eagles-Gulls-
187 - 2023-04-111294Canucks-Gulls-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
189 - 2023-04-131310Reign-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
-26 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,939,134$ 3,494,333$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,939,134$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 20 18,489$ 369,780$




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
482363102256212194184123110112312192294113200113391102-11942123705823406965712383074478482726047991394200254510118.53%6008685.67%51341286246.86%1441326944.08%517118943.48%1977131819756481035516
582125901226181329-148415300020490164-74417290102291165-7438181303484310795049239307607798244181121728318301813217.68%1263373.81%0734222233.03%1005354828.33%387127730.31%147810432574569915391
68244260314433423410041211302032179122574123130111215511243107334596930140137999138220125612801261270582246821312075325.60%1933780.83%32023347958.15%1499278353.86%733131755.66%2196159117505471024539
78243280133432124081412115001131611214041221301221160119411013215668871101281088137910116112831320265873650920242183917.89%2194479.91%32063337461.14%1544281754.81%765134257.00%2231163617175411015535
8825118031454281982304125803113223911324126100003220510798122428771119918019012011140620132313491367245072640819011664426.51%1803083.33%12032330961.41%1461252957.77%853141260.41%242618521586491961520
982422501356357256101412410012221911236841181500134166133331053576009571501511089235330114711951170352398636420101794122.91%1603478.75%01527316648.23%1512356542.41%644136947.04%192513902075554981479
10824921012633782511274125100114019212369412411001231861285811737865110291115111710312341310941154112870292787844420991854423.78%2064080.58%31610314951.13%1433299747.81%719137252.41%210715321868546997508
117259701122393166227352840111019478116373130001219988111127393721111425179128835354611481251113231191357137917931503926.00%1682684.52%41723277562.09%1307215760.59%758123161.58%213816041326443879482
Total Saison régulière6463362150131531362604186873632217210109914171351914437324164114046171912539542998112604457871821329330999736512269432242879689306870229616735424915790183139321.46%185233082.18%19130532433653.64%112022366547.34%53761050951.16%164821196914875434078113974
Séries éliminatoires
41257000002526-15230000011101734000001416-210254570010681028607587109413124245315981515.31%971584.54%112140330.02%19051037.25%6816940.24%27017032610616277
6514000001324-1120200000610-431200000714-72132033000525154047514225373281351218.33%13284.62%16817040.00%9022839.47%348540.00%10770147396732
72516900000817110127500000393451394000004237532811512321002926248660277276290912270196729711318.31%951287.37%047695549.84%494106946.21%20340949.63%615420624195334168
8624000001619-3312000001011-13120000068-24162945000101523401016370239733214516743.75%16381.25%111725146.61%11323148.92%399839.80%14097144417437
9734000002223-13210000010100413000001213-1622436511010562910898084290893618126311.54%17476.47%015730651.31%13932143.30%5812347.15%1781222066110249
10191090000074641010640000036306945000003834420741302041228251837772402372386271321211652944818.18%571278.95%039775152.86%37772552.00%17335548.73%514367461137254130
Total Séries éliminatoires74373700000231227435181700000112105739192000000119122-37423141864934288560532608240826795657282084165320342674717.60%2954883.73%31336283647.11%1403308445.49%575123946.41%182612481910582997495