Gulls
GP: 5 | W: 1 | L: 4
GF: 13 | GA: 15 | PP%: 16.67% | PK%: 72.22%
DG: Pascal Lemelin | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
IceHogs
9-8-0, 18pts
2
FINAL
4 Gulls
1-4-0, 2pts
Team Stats
L3StreakL1
5-3-0Home Record1-1-0
4-5-0Away Record0-3-0
4-6-0Last 10 Games1-4-0
3.06Buts par match 2.60
3.12Buts contre par match 3.00
22.64%Pourcentage en avantage numérique16.67%
86.96%Pourcentage en désavantage numérique72.22%
Gulls
1-4-0, 2pts
2
FINAL
3 IceHogs
9-8-0, 18pts
Team Stats
L1StreakL3
1-1-0Home Record5-3-0
0-3-0Away Record4-5-0
1-4-0Last 10 Games4-6-0
2.60Buts par match 3.06
3.00Buts contre par match 3.12
16.67%Pourcentage en avantage numérique22.64%
72.22%Pourcentage en désavantage numérique86.96%
Meneurs d'équipe
Victoires
Brandon Bussi
1
Pourcentage d’arrêts
Brandon Bussi
0.906

Statistiques d’équipe
Buts pour
13
2.60 GFG
Tirs pour
181
36.20 Avg
Pourcentage en avantage numérique
16.7%
3 GF
Début de zone offensive
44.2%
Buts contre
15
3.00 GAA
Tirs contre
159
31.80 Avg
Pourcentage en désavantage numérique
72.2%
5 GA
Début de la zone défensive
39.4%
Information d’équipe

Directeur généralPascal Lemelin
EntraîneurTodd Nelson
DivisionPacific Division
ConférenceWestern Conference
CapitaineEthan Prow
Assistant #1Anthony Greco
Assistant #2Marc Michaelis


Informations de l’aréna

Capacité3,000
Assistance1,836
Billets de saison300


Information formation

Équipe Pro37
Équipe Mineure19
Limite contact 56 / 80
Espoirs40


Historique d'équipe

Saison actuelle1-4
Historique97-53-11 (0.602%)
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
1Alex Newhook (R)81XX100.00593694766885867375726763746265075670213950,000$
2Drew O'Connor (R)10X100.00703991658384806671676360696466075650242925,000$
3Jacob Peterson (R)4X100.00623482687378916673656763686366075650233950,000$
4Anthony Greco (A)29XX100.00623594696589836358666158656971075640292750,000$
5Justin Richards (R)90XX100.00763683677177836571665864626566075640242925,000$
6Rafael Harvey-Pinard (R)94X100.00763583646682866457626661656469075640233950,000$
7Austin Rueschhoff (R)85X100.00908565559978845753555864566567075620252750,000$
8Tyler Benson (R)61XX100.00713882627377786367615759626466075620242750,000$
9Cole Schwindt (R)79XX100.00673885587782805676585961566163075610212925,000$
10Mark Kastelic (R)47X100.00813665588579865375605961566364075610232925,000$
11Ben McCartney (R)62X100.00793966587184825658575960586163075600213950,000$
12Ethan Prow (C)6X100.00593692676978876530646663557072075650301750,000$
13Connor Mackey (R)3X100.00683461658180836430676562536668075640262925,000$
14Jake Christiansen (R)32X100.00643783627283856130626354616365075620232925,000$
15Sean Day (R)74X100.00773982578776855930615763486466075620242850,000$
16Nick Perbix (R)48X100.00693881637978656230665761506466075620243950,000$
17Nick Cicek (R)59X100.00754368588468815730625459476264075610223950,000$
Rayé
1Michael Dal Colle83XX100.00723888628281706358625961656668075630262925,000$
2Marc Michaelis (A)56XX100.00663684637077686056616059636769075620272925,000$
3Christopher Wilkie (R)75X100.00633882597278695852605756596668075600262750,000$
4Mason Primeau (R)58X100.00814277559061765764565259536163075600212750,000$
5Patrick Khodorenko (R)55X100.00643886587475885564595658556466075600242925,000$
6Danila Klimovich (R)46X100.00623483588179855952585756616062075600193950,000$
7Hugh McGing (R)11X100.00623785586277895758595752576466075600243950,000$
8Kyle MacLean (R)12XX100.00684173577770795664575558566365075590232750,000$
9Stelio Mattheos21XX100.00684076567775875257545358566365075590232750,000$
10Gage Goncalves (R)39X100.00623882587175855563565955586163075590213950,000$
11Hunter Drew (R)63X100.00763458607978865930585760516466075610241700,000$
12Jonathan Aspirot (R)84X100.00654267587469765730585756456668075600231700,000$
13Cole Hults (R)98X100.00633884587269815730565554506466075590242925,000$
14Ilya Solovyov (R)80X100.00764085538566795230545357456264075590223950,000$
15Tim Berni (R)96X100.00623981597177835830565359456264075590223950,000$
MOYENNE D’ÉQUIPE100.0069398061767781605260595957646607562
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
1Brandon Bussi (R)100.0074666791737274737274736471075650243950,000$
2Eetu Makiniemi (R)100.0074697077737274737274736369075640233950,000$
Rayé
1Lukas Dostal (R)100.0075787775747375747375746267075640222925,000$
2Ryan Fanti (R)100.0067646582666567666567666369075610233950,000$
3Joel Blomqvist (R)100.0066646577656466656466656063075590203950,000$
MOYENNE D’ÉQUIPE100.007168698070697170697170626807563
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd Nelson67736671797371CAN5321,000,000$


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
1Rafael Harvey-PinardGulls (ANA)LW525730012121499.52%08216.40112712000000028.57%700001.7100000200
2Jake ChristiansenGulls (ANA)D5044-140306230.00%311022.11022414000012000.00%000000.7200000001
3Michael Dal ColleGulls (ANA)LW/RW513420085100610.00%15611.2000000000000066.67%300001.4300000000
4Jacob PetersonGulls (ANA)C5314300314204915.00%29619.280111120000130052.00%12500000.8300000001
5Nick CicekGulls (ANA)D513439511340225.00%59318.6100001300017000.00%000000.8600010100
6Justin RichardsGulls (ANA)C/RW52130204161331115.38%08216.551015120000130052.38%10500000.7200000000
7Austin RueschhoffGulls (ANA)RW50221601237380.00%07414.96000000001120050.00%400000.5300000000
8Alex NewhookGulls (ANA)C/LW5112-100513259134.00%011723.561017160002141048.41%12600000.3400000000
9Tyler BensonGulls (ANA)LW/RW51120002580512.50%05611.3200000000000066.67%300000.7100000001
10Nick PerbixGulls (ANA)D5112-16079111100.00%88917.8201101300008000.00%000000.4500000010
11Anthony GrecoGulls (ANA)LW/RW5101-1007915496.67%19218.52000216000000050.00%1000000.2200000000
12Sean DayGulls (ANA)D50113100542030.00%97615.370000000001000.00%000000.2600000000
13Cole SchwindtGulls (ANA)C/RW5000-100034030.00%0408.180000000000000.00%700000.0000000000
14Connor MackeyGulls (ANA)D5000-2201437480.00%210621.3300002000012000.00%000000.0000000000
15Drew O'ConnorGulls (ANA)LW5000-14015418560.00%09519.12000216000010057.14%700000.0000000000
16Ben McCartneyGulls (ANA)LW5000-200605340.00%0397.8900000000000050.00%400000.0000000000
17Mark KastelicGulls (ANA)C5000-200565450.00%0377.5100000000000048.48%3300000.0000000000
18Ethan ProwGulls (ANA)D5000-3001410450.00%511923.96000514000012000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne901323360435120102181501107.18%36146816.323583314600041131049.77%43400000.4900010313
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
1Brandon BussiGulls (ANA)51400.9063.0329700151590000.000050000
Statistiques d’équipe totales ou en moyenne51400.9063.0329700151590000.000050000


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
Alex NewhookGulls (ANA)C/LW211/28/2001Yes190 Lbs5 ft10NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien / Lien NHL
Anthony GrecoGulls (ANA)LW/RW299/30/1993No179 Lbs5 ft10NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Austin RueschhoffGulls (ANA)RW259/7/1997Yes230 Lbs6 ft7NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Ben McCartneyGulls (ANA)LW217/13/2001Yes182 Lbs6 ft0NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Brandon BussiGulls (ANA)G246/25/1998Yes209 Lbs6 ft5NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Christopher WilkieGulls (ANA)RW267/10/1996Yes190 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Cole HultsGulls (ANA)D245/22/1998Yes189 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Cole SchwindtGulls (ANA)C/RW214/25/2001Yes182 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Connor MackeyGulls (ANA)D269/12/1996Yes201 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Danila KlimovichGulls (ANA)RW191/9/2003Yes202 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Drew O'ConnorGulls (ANA)LW246/9/1998Yes200 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Eetu MakiniemiGulls (ANA)G234/19/1999Yes184 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Ethan ProwGulls (ANA)D3011/17/1992No182 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Gage GoncalvesGulls (ANA)C211/16/2001Yes181 Lbs6 ft0NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Hugh McGingGulls (ANA)LW247/11/1998Yes167 Lbs5 ft8NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Hunter DrewGulls (ANA)D2410/21/1998Yes191 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Ilya SolovyovGulls (ANA)D227/20/2000Yes208 Lbs6 ft3NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Jacob PetersonGulls (ANA)C237/19/1999Yes180 Lbs6 ft1NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Jake ChristiansenGulls (ANA)D239/12/1999Yes186 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Joel BlomqvistGulls (ANA)G201/10/2002Yes183 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Jonathan AspirotGulls (ANA)D235/16/1999Yes200 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Justin RichardsGulls (ANA)C/RW243/17/1998Yes190 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Kyle MacLeanGulls (ANA)C/LW234/29/1999Yes183 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Lukas DostalGulls (ANA)G226/22/2000Yes174 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Marc MichaelisGulls (ANA)C/LW277/31/1995No187 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Mark KastelicGulls (ANA)C2311/3/1999Yes210 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Mason PrimeauGulls (ANA)C217/28/2001Yes205 Lbs6 ft5NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Michael Dal ColleGulls (ANA)LW/RW266/20/1996No195 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien / Lien NHL
Nick CicekGulls (ANA)D225/29/2000Yes201 Lbs6 ft3NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Nick PerbixGulls (ANA)D246/15/1998Yes191 Lbs6 ft2NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Patrick KhodorenkoGulls (ANA)C2410/13/1998Yes200 Lbs6 ft0NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Rafael Harvey-PinardGulls (ANA)LW231/6/1999Yes182 Lbs5 ft9NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Ryan FantiGulls (ANA)G2310/3/1999Yes194 Lbs6 ft3NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$
Sean DayGulls (ANA)D241/9/1998Yes218 Lbs6 ft3NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien / Lien NHL
Stelio MattheosGulls (ANA)C/RW236/14/1999No196 Lbs6 ft1NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Tim BerniGulls (ANA)D222/11/2000Yes181 Lbs6 ft0NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Lien
Tyler BensonGulls (ANA)LW/RW243/15/1998Yes190 Lbs6 ft0NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3723.46192 Lbs6 ft12.32883,108$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorAlex NewhookAnthony Greco36122
2Rafael Harvey-PinardJacob Peterson30122
3Tyler BensonJustin RichardsAustin Rueschhoff24122
4Ben McCartneyMark KastelicCole Schwindt10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan ProwConnor Mackey36122
2Nick PerbixJake Christiansen30122
3Sean DayNick Cicek24122
4Ethan ProwConnor Mackey10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorAlex NewhookAnthony Greco54104
2Rafael Harvey-PinardJacob PetersonJustin Richards46104
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan ProwNick Cicek54104
2Nick PerbixJake Christiansen46104
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Justin RichardsAustin Rueschhoff50131
2Jacob PetersonAlex Newhook50131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan ProwConnor Mackey50140
2Nick PerbixJake Christiansen50140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Justin Richards50140Ethan ProwNick Cicek50140
2Jacob Peterson50140Nick PerbixJake Christiansen50140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Alex NewhookDrew O'Connor50122
2Jacob PetersonRafael Harvey-Pinard50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan ProwNick Cicek50122
2Nick PerbixJake Christiansen50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex NewhookJacob PetersonRafael Harvey-PinardEthan ProwConnor Mackey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex NewhookJacob PetersonAustin RueschhoffEthan ProwConnor Mackey
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Newhook, Drew O'Connor, Jacob PetersonAlex Newhook, Jacob PetersonJustin Richards
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ethan Prow, Connor Mackey, Nick PerbixConnor MackeyNick Cicek, Nick Perbix
Tirs de pénalité
Drew O'Connor, Alex Newhook, Tyler Benson, Anthony Greco, Justin Richards
Gardien
#1 : Brandon Bussi, #2 : Eetu Makiniemi
Lignes d’attaque personnalisées en prolongation
Jacob Peterson, Alex Newhook, Drew O'Connor, Anthony Greco, Justin Richards, Rafael Harvey-Pinard, Rafael Harvey-Pinard, Cole Schwindt, Tyler Benson, Austin Rueschhoff, Mark Kastelic
Lignes de défense personnalisées en prolongation
Ethan Prow, Connor Mackey, Nick Perbix, Jake Christiansen, Sean Day


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
1IceHogs514000001315-22110000054130300000811-320.2001323360055301817562440159364312018316.67%18572.22%09819251.04%7717145.03%417157.75%12487109376633
Total514000001315-22110000054130300000811-320.2001323360055301817562440159364312018316.67%18572.22%09819251.04%7717145.03%417157.75%12487109376633
_Since Last GM Reset514000001315-22110000054130300000811-320.2001323360055301817562440159364312018316.67%18572.22%09819251.04%7717145.03%417157.75%12487109376633
_Vs Conference514000001315-22110000054130300000811-320.2001323360055301817562440159364312018316.67%18572.22%09819251.04%7717145.03%417157.75%12487109376633

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
52L1132336181159364312000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
51400001315
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000054
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3030000811
Derniers 10 matchs
WLOTWOTL SOWSOL
140000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18316.67%18572.22%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
75624405530
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
9819251.04%7717145.03%417157.75%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
12487109376633


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 - 2023-04-148Gulls3IceHogs4ALSommaire du match
4 - 2023-04-1616Gulls3IceHogs4ALSommaire du match
6 - 2023-04-1824IceHogs2Gulls1BLSommaire du match
8 - 2023-04-2032IceHogs2Gulls4BWSommaire du match
10 - 2023-04-2240Gulls2IceHogs3ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4828
Assistance2,4651,207
Assistance PCT61.63%60.35%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 1836 - 61.20% 95,073$190,145$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 3,267,500$ 3,267,500$ 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 Richards1626196157205326139758210.48%42336920.80102131109000813453.47%10.93010
2Drew O'Connor1576474138342714725047813.39%38277117.65512173710166254.95%11.0035
3Connor Mackey16327102129251363951932869.44%227380923.371119301330331440.00%00.6800
4Ethan Prow16430971273522851993179.46%249378223.061323361470112410.00%00.6700
5Alex Newhook7444681121265829840110.97%26182124.61920295421365254.01%31.2317

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
2Brandon Bussi59311460.8993.45308010117717530110.83324
3Eetu Makiniemi37191010.9043.3618592010410850010.7508
4Lukas Dostal82120.9122.9634500171930000.0000

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
20228244250234433329142412111023221651372841231400022168154141073336009332113310193830779811044103055286279957818912436727.57%2576176.26%41583301552.50%1573298152.77%792144854.70%2047144418875821041533
Total Saison régulière16484530588663556768824324055233232725182412900363312295172086351132176743235197190176064201320002005102563115671167389850611723.12%49610778.43%53266610653.49%3145589453.36%1544283254.52%410428893741116420951072
2022514000001315-22110000054130300000811-321323360055301817562440159364312018316.67%18572.22%09819251.04%7717145.03%417157.75%12487109376633
Total Séries éliminatoires514000001315-22110000054130300000811-321323360055301817562440159364312018316.67%18572.22%09819251.04%7717145.03%417157.75%12487109376633

Gulls Leaders statistiques (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS
1Rafael Harvey-Pinard525730121219.52%08216.40112700000028.57%01.7100
2Nick Cicek513439113425.00%59318.6100000001000.00%00.8600
3Jacob Peterson5314303142015.00%29619.28011100000052.00%00.8300
4Jake Christiansen5044-143060.00%311022.1102240000000.00%00.7200
5Michael Dal Colle513420851010.00%15611.20000000000066.67%01.4300

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
1Brandon Bussi51400.9063.0329700151590000.0000