Gulls
GP: 5 | W: 1 | L: 4
GF: 12 | GA: 18 | PP%: 11.11% | PK%: 68.75%
DG: Pascal Lemelin | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Stars
6-5-0, 12pts
4
FINAL
5 Gulls
1-4-0, 2pts
Team Stats
L2StreakL1
3-3-0Home Record1-1-0
3-2-0Away Record0-3-0
5-4-1Last 10 Games1-3-1
2.82Buts par match 2.40
2.45Buts contre par match 3.60
21.62%Pourcentage en avantage numérique11.11%
90.63%Pourcentage en désavantage numérique68.75%
Gulls
1-4-0, 2pts
2
FINAL
3 Stars
6-5-0, 12pts
Team Stats
L1StreakL2
1-1-0Home Record3-3-0
0-3-0Away Record3-2-0
1-3-1Last 10 Games5-4-1
2.40Buts par match 2.82
3.60Buts contre par match 2.45
11.11%Pourcentage en avantage numérique21.62%
68.75%Pourcentage en désavantage numérique90.63%
Meneurs d'équipe
Dan VladarVictoires
Dan Vladar
1
Dan VladarPourcentage d’arrêts
Dan Vladar
0.901

Statistiques d’équipe
Buts pour
12
2.40 GFG
Tirs pour
156
31.20 Avg
Pourcentage en avantage numérique
11.1%
2 GF
Début de zone offensive
39.7%
Buts contre
18
3.60 GAA
Tirs contre
182
36.40 Avg
Pourcentage en désavantage numérique
68.8%
5 GA
Début de la zone défensive
41.9%
Information d’équipe

Directeur généralPascal Lemelin
EntraîneurTodd Nelson
DivisionPacific Division
ConférenceWestern Conference
CapitaineBrad Malone
Assistant #1Jonathan Ericsson
Assistant #2Eric Tangradi


Informations de l’aréna

Capacité3,000
Assistance1,870
Billets de saison300


Information formation

Équipe Pro36
Équipe Mineure21
Limite contact 57 / 80
Espoirs34


Historique d'équipe

Saison actuelle1-4
Historique47-28-5 (0.588%)
Apparitions séries éliminatoires 0
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
1Eetu Luostarinen27X100.00793593648179816574636167626564075650232925,000$
2Justin Richards (R)0XX100.00673594697277816771666168646562075650233925,000$
3Eric Tangradi (A)0XX100.008346816292737661565863646980720756503211,000,000$
4Michael Dal Colle0XX100.00803594658374816859656256676965075650253906,500$
5Drew O'Connor (R)0X100.00583592628377796367666264666563075640233925,000$
6Anthony Greco0XX100.00563591736574796655646158647572075640283750,000$
7Marc Michaelis (R)0XX100.00593595667078806356616257637166075630263925,000$
8Nolan Foote (R)0X100.00583595648370816559646357656163075630213925,000$
9Tyler Benson0XX100.00543595657286776756666157636566075630233850,000$
10Austin Rueschhoff0X100.00898578569974715953575860546764075620243750,000$
11Stelio Mattheos0XX100.00683689607773685967565861596364075610223850,000$
12Connor Mackey (R)0X100.00664285657877736230686361526965075640253925,000$
13Jonathan Ericsson (A)0X100.007335935890716759306057654987770756403711,000,000$
14Ethan Prow0X100.00594284636874796330665859507769075630292750,000$
15Jake Christiansen (R)32X100.00674383597674795930645559486362075610223925,000$
16Kristians Rubins0X100.00857459589474795630555361466965075610252700,000$
17Sean Day0X100.00793865598868735830605461466563075610233700,000$
18Jonathan Aspirot0X100.00655669607474795830595756486965075600222700,000$
Rayé
1Jordan Szwarz0XX100.00724679637172756270616363637870075640301975,000$
2Brad Malone (C)0XXS27661616284778261796362646380780756403211,000,000$
3Christopher Wilkie0X100.00635768617278735962576463666964075610253750,000$
4Mark Kastelic (R)0X100.00763682568576815860565759566362075610223925,000$
5Nicholas Halloran0X100.00563986626571766366655457566764075610243750,000$
6Gregor MacLeod0XX100.00744383568362675659585658566563075600232700,000$
7Mason Primeau0X100.00813986569073785461595061536264075600203750,000$
8Patrick Khodorenko (R)0X100.00653593587479735769615654576563075600233925,000$
9Ryan McGregor (R)0XX100.00593583586882865766625659576362075600223925,000$
10Kyle MacLean0XX100.00685372557768735660585459556362075590223750,000$
11Riley Woods0XX100.00583593586772785762605554566563075590233750,000$
12Cole Schwindt (R)0XX100.00685669557763685357525654556062075570203925,000$
13Hunter Drew0X100.00705669557970755530555657476563075590232700,000$
14Cole Hults (R)0X100.00633888547268735630575354466563075580233925,000$
MOYENNE D’ÉQUIPE100.0069448361787476605461586057686507562
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
1Dan Vladar100.0079838086787779787779786872075680243750,000$
2Lukas Dostal (R)100.0073888675727173727173726165075640213925,000$
Rayé
1Griffen Outhouse100.0063797771626163626163626569075580232700,000$
2Brett Brochu (R)100.0059656370585759585759585961075550193925,000$
MOYENNE D’ÉQUIPE100.006979777668676968676968636707561
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Nelson65746670777173CAN5131,000,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Eric TangradiGulls (ANA)C/LW51673401410143127.14%210420.85011216000250037.61%10900001.3400000010
2Anthony GrecoGulls (ANA)LW/RW5516300082431020.83%49819.67101517000000112.50%800011.2200000100
3Brad MaloneGulls (ANA)C/LW51453175158147107.14%09719.57011415000040033.33%2100001.0200010001
4Ethan ProwGulls (ANA)D5033220245220.00%811122.2201131500009000.00%000000.5400000000
5Connor MackeyGulls (ANA)D5022-300978430.00%1112424.89000516000012000.00%000000.3200000000
6Drew O'ConnorGulls (ANA)LW50220001712480.00%07414.8600000000010040.00%500000.5400000000
7Eetu LuostarinenGulls (ANA)C5202-100616144814.29%011022.140004160000140058.21%13400000.3600000000
8Sean DayGulls (ANA)D50222601445140.00%1210621.2301121400008000.00%000000.3800000000
9Michael Dal ColleGulls (ANA)LW/RW5202-6001213165912.50%012525.131014150000140032.79%6100000.3200000000
10Austin RueschhoffGulls (ANA)RW401101352255240.00%05814.6800000000010066.67%300000.3400001000
11Jordan SzwarzGulls (ANA)C/RW5011-5202610590.00%08817.63000012000010040.00%500000.2300000000
12Kristians RubinsGulls (ANA)D5011-2100922130.00%47815.720002100001000.00%000000.2500000000
13Marc MichaelisGulls (ANA)C/LW5101-1001460516.67%16112.2300000000001042.03%6900000.3300000000
14Nolan FooteGulls (ANA)LW5011-100001220.00%1214.2700000000020040.00%500000.9400000000
15Christopher WilkieGulls (ANA)RW4000-100302010.00%2133.280000000000000.00%000000.0000000000
16Jake ChristiansenGulls (ANA)D5000-200121110.00%36713.510000000000000.00%000000.0000000000
17Justin RichardsGulls (ANA)C/RW1000000126240.00%01313.1300000000000050.00%200000.0000000000
18Jonathan EricssonGulls (ANA)D5000-320637280.00%612024.1000061600009000.00%000000.0000000000
19Tyler BensonGulls (ANA)LW/RW5000-300164030.00%0316.2600024000000045.16%3100000.0000000000
Statistiques d’équipe totales ou en moyenne89122436-155610119107156481067.69%54150616.93246391650002891143.93%45300010.4800011111
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
1Dan VladarGulls (ANA)51310.9013.5330600181820000.000050000
Statistiques d’équipe totales ou en moyenne51310.9013.5330600181820000.000050000


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
Anthony GrecoGulls (ANA)LW/RW289/30/1993No174 Lbs5 ft10NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien / Lien NHL
Austin RueschhoffGulls (ANA)RW249/7/1997No230 Lbs6 ft7NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien
Brad MaloneGulls (ANA)C/LW325/20/1989No217 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien / Lien NHL
Brett BrochuGulls (ANA)G199/9/2002Yes161 Lbs5 ft11NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Christopher WilkieGulls (ANA)RW257/10/1996No190 Lbs6 ft0NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien
Cole HultsGulls (ANA)D235/22/1998Yes189 Lbs6 ft0NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Cole SchwindtGulls (ANA)C/RW204/25/2001Yes182 Lbs6 ft2NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Connor MackeyGulls (ANA)D259/12/1996Yes190 Lbs6 ft2NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Dan VladarGulls (ANA)G248/20/1997No185 Lbs6 ft5NoNoNo3Pro & Farm750,000$750,000$0$0$No1,075,000$1,075,000$Lien / Lien NHL
Drew O'ConnorGulls (ANA)LW236/9/1998Yes200 Lbs6 ft3NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Eetu LuostarinenGulls (ANA)C239/2/1998No190 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Eric TangradiGulls (ANA)C/LW322/10/1989No226 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien / Lien NHL
Ethan ProwGulls (ANA)D2911/17/1992No180 Lbs5 ft11NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Gregor MacLeodGulls (ANA)C/LW236/7/1998No170 Lbs6 ft5NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Griffen OuthouseGulls (ANA)G233/13/1998No185 Lbs6 ft0NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Hunter DrewGulls (ANA)D2310/21/1998No191 Lbs6 ft2NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Jake ChristiansenGulls (ANA)D229/12/1999Yes195 Lbs6 ft1NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Jonathan AspirotGulls (ANA)D225/16/1999No200 Lbs6 ft0NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Jonathan EricssonGulls (ANA)D373/2/1984No218 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien / Lien NHL
Jordan SzwarzGulls (ANA)C/RW305/14/1991No192 Lbs5 ft11NoNoNo1Pro & Farm975,000$918,750$0$0$NoLien / Lien NHL
Justin RichardsGulls (ANA)C/RW233/17/1998Yes190 Lbs5 ft11NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Kristians RubinsGulls (ANA)D2512/11/1996No221 Lbs6 ft5NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien / Lien NHL
Kyle MacLeanGulls (ANA)C/LW224/29/1999No183 Lbs6 ft2NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien
Lukas DostalGulls (ANA)G216/22/2000Yes174 Lbs6 ft2NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Marc MichaelisGulls (ANA)C/LW267/31/1995Yes187 Lbs5 ft11NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Mark KastelicGulls (ANA)C2211/3/1999Yes210 Lbs6 ft3NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Mason PrimeauGulls (ANA)C207/28/2001No205 Lbs6 ft5NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien
Michael Dal ColleGulls (ANA)LW/RW256/20/1996No200 Lbs6 ft3NoNoNo3Pro & Farm906,500$906,500$0$0$No925,000$925,000$Lien / Lien NHL
Nicholas HalloranGulls (ANA)RW245/13/1997No174 Lbs5 ft10NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien
Nolan FooteGulls (ANA)LW2111/29/2000Yes196 Lbs6 ft3NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Patrick KhodorenkoGulls (ANA)C2310/13/1998Yes200 Lbs6 ft0NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Riley WoodsGulls (ANA)C/LW236/25/1998No181 Lbs5 ft10NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Lien
Ryan McGregorGulls (ANA)C/LW221/29/1999Yes168 Lbs6 ft0NoNoNo3Pro & Farm925,000$550,000$0$0$No925,000$925,000$
Sean DayGulls (ANA)D231/9/1998No225 Lbs6 ft3NoNoNo3Pro & Farm700,000$700,000$0$0$No850,000$850,000$Lien / Lien NHL
Stelio MattheosGulls (ANA)C/RW226/14/1999No196 Lbs6 ft1NoNoNo3Pro & Farm850,000$700,000$0$0$No750,000$750,000$Lien / Lien NHL
Tyler BensonGulls (ANA)LW/RW233/15/1998No190 Lbs6 ft0NoNoNo3Pro & Farm850,000$700,000$0$0$No750,000$750,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3624.22193 Lbs6 ft22.58846,708$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael Dal ColleJustin RichardsAnthony Greco40122
2Eric TangradiEetu LuostarinenTyler Benson30122
3Drew O'ConnorMarc MichaelisAustin Rueschhoff20122
4Nolan FooteStelio MattheosMichael Dal Colle10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonathan EricssonConnor Mackey40122
2Ethan ProwSean Day30122
3Kristians RubinsJake Christiansen20122
4Jonathan AspirotJonathan Ericsson10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael Dal ColleJustin RichardsAnthony Greco60122
2Eric TangradiEetu LuostarinenTyler Benson40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonathan EricssonConnor Mackey60122
2Ethan ProwSean Day40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael Dal ColleJustin Richards60122
2Eetu LuostarinenEric Tangradi40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonathan EricssonConnor Mackey60122
2Ethan ProwSean Day40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Michael Dal Colle60122Jonathan EricssonConnor Mackey60122
2Justin Richards40122Ethan ProwSean Day40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael Dal ColleJustin Richards60122
2Eetu LuostarinenEric Tangradi40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonathan EricssonConnor Mackey60122
2Ethan ProwSean Day40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael Dal ColleJustin RichardsAnthony GrecoJonathan EricssonConnor Mackey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael Dal ColleJustin RichardsAnthony GrecoJonathan EricssonConnor Mackey
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Drew O'Connor, Marc Michaelis, Nolan FooteDrew O'Connor, Marc MichaelisNolan Foote
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kristians Rubins, Jake Christiansen, Jonathan AspirotKristians RubinsJake Christiansen, Jonathan Aspirot
Tirs de pénalité
Michael Dal Colle, Justin Richards, Eetu Luostarinen, Eric Tangradi, Anthony Greco
Gardien
#1 : Dan Vladar, #2 : Lukas Dostal
Lignes d’attaque personnalisées en prolongation
Michael Dal Colle, Justin Richards, Eetu Luostarinen, Eric Tangradi, Anthony Greco, Drew O'Connor, Drew O'Connor, Marc Michaelis, Tyler Benson, Nolan Foote, Austin Rueschhoff
Lignes de défense personnalisées en prolongation
Jonathan Ericsson, Connor Mackey, Ethan Prow, Sean Day, Kristians Rubins


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
1Stars514000001218-62110000068-230300000610-420.2001224360024601564443654182545611918211.11%16568.75%08418046.67%7919041.58%368343.37%11476125366632
Total514000001218-62110000068-230300000610-420.2001224360024601564443654182545611918211.11%16568.75%08418046.67%7919041.58%368343.37%11476125366632
_Since Last GM Reset514000001218-62110000068-230300000610-420.2001224360024601564443654182545611918211.11%16568.75%08418046.67%7919041.58%368343.37%11476125366632
_Vs Conference514000001218-62110000068-230300000610-420.2001224360024601564443654182545611918211.11%16568.75%08418046.67%7919041.58%368343.37%11476125366632

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L1122436156182545611900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001218
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000068
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000610
Derniers 10 matchs
WLOTWOTL SOWSOL
130100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18211.11%16568.75%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
44436542460
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
8418046.67%7919041.58%368343.37%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11476125366632


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
2 - 2022-04-137Gulls2Stars3ALXSommaire du match
4 - 2022-04-1515Gulls2Stars4ALSommaire du match
6 - 2022-04-1723Stars4Gulls1BLSommaire du match
8 - 2022-04-1931Stars4Gulls5BWSommaire du match
10 - 2022-04-2139Gulls2Stars3ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4828
Assistance2,5251,215
Assistance PCT63.13%60.75%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 1870 - 62.33% 97,013$194,025$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,948,150$ 2,425,025$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 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
1Justin Richards8039498810107622932412.04%25173221.6569155700068254.00%11.0206
2Connor Mackey82135669-366157971608.13%107195823.887916930110320.00%00.7000
3Brad Malone822240621622141772588.53%25141817.304593100021059.94%00.8712
4Drew O'Connor822931601822912425111.55%19130315.900441200032253.15%00.9201
5Eetu Luostarinen5426325814246815418314.21%13101918.88411153700022357.62%11.1402

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
1Dan Vladar80452850.9003.3546444225925960420.79224
2Lukas Dostal72020.9242.5031200131710000.0000

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
238240280354230227626412213032011581352341181500341144141310130253283422102969792987103295697547276976858920072635019.01%2394680.75%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
Total Saison régulière8240280354230227626412213032011581352341181500341144141310130253283422102969792987103295697547276976858920072635019.01%2394680.75%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
23514000001218-62110000068-230300000610-421224360024601564443654182545611918211.11%16568.75%08418046.67%7919041.58%368343.37%11476125366632
Total Séries éliminatoires514000001218-62110000068-230300000610-421224360024601564443654182545611918211.11%16568.75%08418046.67%7919041.58%368343.37%11476125366632

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
1Eric Tangradi5167341410147.14%210420.85011200020037.61%01.3400
2Anthony Greco551630082420.83%49819.67101500000112.50%11.2200
3Brad Malone5145317158147.14%09719.57011400000033.33%01.0200
4Ethan Prow5033222450.00%811122.2201130000000.00%00.5400
5Drew O'Connor50220017120.00%07414.86000000000040.00%00.5400

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
1Dan Vladar51310.9013.5330600181820000.0000