Gulls
GP: 82 | W: 50 | L: 25 | OTL: 7 | P: 107
GF: 333 | GA: 291 | PP%: 27.57% | PK%: 76.26%
DG: Pascal Lemelin | Morale : 75 | Moyenne d’équipe : 62
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Centre de jeu
Comets
48-29-5, 101pts
4
FINAL
5 Gulls
50-25-7, 107pts
Team Stats
W1StreakW2
23-16-2Home Record25-11-5
25-13-3Away Record25-14-2
8-1-1Last 10 Games6-4-0
5.10Buts par match 4.06
4.27Buts contre par match 3.55
26.09%Pourcentage en avantage numérique27.57%
70.31%Pourcentage en désavantage numérique76.26%
Reign
35-40-7, 77pts
1
FINAL
4 Gulls
50-25-7, 107pts
Team Stats
L4StreakW2
23-16-2Home Record25-11-5
12-24-5Away Record25-14-2
3-6-1Last 10 Games6-4-0
3.43Buts par match 4.06
3.65Buts contre par match 3.55
27.50%Pourcentage en avantage numérique27.57%
75.89%Pourcentage en désavantage numérique76.26%
Meneurs d'équipe
Greg PaterynButs
Greg Pateryn
2
Greg PaterynPasses
Greg Pateryn
13
Greg PaterynPoints
Greg Pateryn
15
Greg PaterynPlus/Moins
Greg Pateryn
4
Victoires
Brandon Bussi
31
Pourcentage d’arrêts
Eetu Makiniemi
0.904

Statistiques d’équipe
Buts pour
333
4.06 GFG
Tirs pour
3077
37.52 Avg
Pourcentage en avantage numérique
27.6%
67 GF
Début de zone offensive
40.5%
Buts contre
291
3.55 GAA
Tirs contre
2862
34.90 Avg
Pourcentage en désavantage numérique
76.3%
61 GA
Début de la zone défensive
40.0%
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
Assistance1,517
Billets de saison300


Information formation

Équipe Pro37
Équipe Mineure19
Limite contact 56 / 80
Espoirs40


Historique d'équipe

Saison actuelle50-25-7 (107PTS)
Historique1313-744-186 (0.585%)
Apparitions séries éliminatoires 19
Historique séries éliminatoires (W-L)75-103
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$
7Michael Dal Colle83XX100.00723888628281706358625961656668075630262925,000$
8Austin Rueschhoff (R)85X100.00908565559978845753555864566567075620252750,000$
9Tyler Benson (R)61XX100.00713882627377786367615759626466075620242750,000$
10Cole Schwindt (R)79XX100.00673885587782805676585961566163075610212925,000$
11Mark Kastelic (R)47X100.00813665588579865375605961566364075610232925,000$
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$
17Hunter Drew (R)63X100.00763458607978865930585760516466075610241700,000$
18Nick Cicek (R)59X100.00754368588468815730625459476264075610223950,000$
Rayé
1Marc Michaelis (A)56XX77.97663684637077686056616059636769075620272925,000$
2Christopher Wilkie (R)75X100.00633882597278695852605756596668075600262750,000$
3Ben McCartney (R)62X100.00793966587184825658575960586163075600213950,000$
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$
11Jonathan Aspirot (R)84X100.00654267587469765730585756456668075600231700,000$
12Cole Hults (R)98X100.00633884587269815730565554506466075590242925,000$
13Ilya Solovyov (R)80X100.00764085538566795230545357456264075590223950,000$
14Tim Berni (R)96X100.00623981597177835830565359456264075590223950,000$
MOYENNE D’ÉQUIPE99.3169398061767781605260595957646607562
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
1Alex NewhookGulls (ANA)C/LW7444681121260582984018725610.97%26182124.61920295418521361375254.01%231800031.2317000884
2Ethan ProwGulls (ANA)D821968872911530111194611109.79%139203324.8081624832000111208210.00%000000.8600010540
3Drew O'ConnorGulls (ANA)LW75354378162551181262275913415.42%19146719.5758132511610131054055.51%46300011.0634100175
4Jacob PetersonGulls (ANA)C78344175-1200842073258922810.46%22157820.2366123212510161767052.49%164600000.9507000413
5Justin RichardsGulls (ANA)C/RW8222476910435185168258902018.53%17163719.97412165219000021065252.20%63600000.8404100532
6Anthony GrecoGulls (ANA)LW/RW8229356410140701212605217211.15%17167120.398816502020001973246.28%12100010.7704000113
7Connor MackeyGulls (ANA)D811446602870023896126397411.11%120185122.8641014401450221156120.00%000000.6500000413
8Marc MichaelisGulls (ANA)C/LW812525501380291692097912411.96%10131616.252572011100061113148.48%132000000.7601000331
9Nick PerbixGulls (ANA)D8174350149516110012237685.74%120169220.9031215531710001174300.00%000000.5900001302
10Rafael Harvey-PinardGulls (ANA)LW8124265015355105861695211814.20%11103912.83651121870000431248.91%18400100.9614100362
11Tyler BensonGulls (ANA)LW/RW822126471010055871955813610.77%15109313.345161157000001150.00%8200000.8612000243
12Jake ChristiansenGulls (ANA)D82103040-23001205895316210.53%110179821.934812341910113198000.00%000000.4400000110
13Michael Dal ColleGulls (ANA)LW/RW79171633721564661244411013.71%987611.10134535000006047.69%6500000.7500001222
14Austin RueschhoffGulls (ANA)RW82121729173522845135461228.89%4102012.4424616750000563147.32%11200010.5700100322
15Sean DayGulls (ANA)D7212829850090575920331.69%81105814.70011937000032000.00%000000.5500000011
16Nick CicekGulls (ANA)D82421259695153465712337.02%66125315.29033846011172100.00%000000.4000010011
17Greg PaterynDucksD122131548015212710137.41%2229824.870331228000029000.00%000001.0100000210
18Mark KastelicGulls (ANA)C825914418076515516259.09%34665.6900000000000058.80%48300000.6000000100
19Cole SchwindtGulls (ANA)C/RW82661276082955124410.91%24175.09000010000081161.04%7700000.5700000011
20Hunter DrewGulls (ANA)D6704408019810350.00%82023.030000400008000.00%000000.3900000000
21Jonathan AspirotGulls (ANA)D8011000001010.00%000.080111000000000.00%0000030.7700000000
22Christopher WilkieGulls (ANA)RW7000000000000.00%000.090000000000000.00%000000.0000000000
23Ben McCartneyGulls (ANA)LW3000100020010.00%0124.2900000000010050.00%200000.0000000000
Statistiques d’équipe totales ou en moyenne153733161394418257440190619523104897207010.66%8212461116.016712619352620244610311726461552.58%750900160.77633422484735
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)59311460.8993.45308010117717530110.833245522121
2Eetu MakiniemiGulls (ANA)37191010.9043.3618592010410850010.75082748131
3Lukas DostalGulls (ANA)10100.8187.2733004220000.0000012000
Statistiques d’équipe totales ou en moyenne97502570.9003.44497312128528600120.813328282252


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 Michaelis (sur la masse salariale)Gulls (ANA)C/LW277/31/1995No187 Lbs5 ft11NoNoNo2Pro & Farm925,000$925,000$0$0$Yes925,000$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 Greco40122
2Rafael Harvey-PinardJacob PetersonJustin Richards30122
3Tyler BensonMark KastelicAustin Rueschhoff20122
4Alex NewhookCole SchwindtMichael Dal Colle10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan ProwConnor Mackey40122
2Nick PerbixJake Christiansen30122
3Sean DayNick Cicek20122
4Ethan ProwJake Christiansen10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Austin RueschhoffAlex NewhookAnthony Greco60122
2Drew O'ConnorJustin RichardsTyler Benson40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan ProwNick Cicek60122
2Nick PerbixJake Christiansen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Justin RichardsDrew O'Connor60122
2Alex NewhookAnthony Greco40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan ProwConnor Mackey60122
2Nick PerbixJake Christiansen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Anthony Greco60122Ethan ProwNick Cicek60122
2Alex Newhook40122Nick PerbixJake Christiansen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Drew O'ConnorJustin Richards60122
2Jacob PetersonAnthony Greco40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan ProwNick Cicek60122
2Nick PerbixJake Christiansen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Jacob PetersonAlex NewhookAnthony GrecoEthan ProwConnor Mackey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex NewhookJacob PetersonAnthony GrecoEthan ProwConnor Mackey
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Newhook, Tyler Benson, Austin RueschhoffAlex Newhook, Tyler BensonAustin Rueschhoff
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ethan Prow, Nick Cicek, Nick PerbixEthan ProwNick 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, Nick Cicek, Nick Perbix, Jake Christiansen, Connor Mackey


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
1Admirals330000001394220000008531100000054161.00013263900133101938114981104410305510936145512650.00%70100.00%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
2Americans21000001880110000005411000000134-130.750816240013310193866981104410305572196557342.86%3166.67%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
3Barracuda4110011016151200001109902110000076150.62516264200133101938164981104410305511837257517529.41%10280.00%21583301552.50%1573298152.77%792144854.70%2047144418875821041533
4Bears2010000127-51000000112-11010000015-410.2502350013310193870981104410305569191244500.00%6183.33%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
5Bruins21001000752100010003211100000043141.0007121900133101938589811044103055711612455240.00%6183.33%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
6Checkers2200000016791100000054111000000113841.000163046001331019381019811044103055711610297457.14%5180.00%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
7Comets412010001820-22010100089-1211000001011-140.50018345200133101938156981104410305516936228610550.00%11281.82%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
8Condors42100100181622010010058-322000000138550.6251832500013310193811498110441030551514332979444.44%15380.00%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
9Crunch22000000963110000004221100000054141.000917260013310193866981104410305560171052400.00%5180.00%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
10Devils2200000016610110000009361100000073441.000162945001331019381189811044103055651321455240.00%7271.43%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
11Eagles3210000010822110000067-11100000041340.6671016260013310193810798110441030551023219729333.33%7271.43%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
12Firebirds4220000017161211000009902110000087140.50017324910133101938136981104410305511939338818316.67%14657.14%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
13Griffins211000006601010000024-21100000042220.5006111700133101938879811044103055592120418112.50%9188.89%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
14IceHogs30300000614-82020000058-31010000016-500.00061016101331019388498110441030551123526709333.33%13376.92%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
15Marlies220000001165110000007341100000043141.00011203100133101938889811044103055851912426233.33%6183.33%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
16Monsters210001008801000010045-11100000043130.750815230013310193870981104410305579231852500.00%9277.78%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
17Moose31200000811-31010000023-12110000068-220.33381321001331019389598110441030551143520757114.29%9366.67%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
18Penguins2010001046-2100000103211010000014-320.500461000133101938629811044103055652018516116.67%8187.50%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
19Phantoms211000007521010000035-21100000040420.50071421011331019387998110441030551032120478112.50%100100.00%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
20Reign311000101082211000006511000001043140.6671016260013310193811298110441030558731287612325.00%8450.00%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
21Roadrunners32000010229131100000083521000010146861.0002236580013310193812198110441030551232820727457.14%9188.89%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
22Rocket2110000078-1110000004311010000035-220.500712190013310193871981104410305575342340300.00%9366.67%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
23Senators2110000010100110000007341010000037-420.50010182800133101938679811044103055831914634125.00%7357.14%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
24Silver Knights32100000990110000003212110000067-140.667916250013310193811798110441030551133016627114.29%7185.71%11583301552.50%1573298152.77%792144854.70%2047144418875821041533
25Sound Tigers220000001156110000006241100000053241.000112132001331019381419811044103055541911437114.29%3166.67%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
26Stars321000001115-41100000054121100000611-540.667112132001331019381039811044103055853124647457.14%10550.00%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
27Thunderbirds3200000113121110000006512100000177050.8331325380013310193810898110441030551003022645240.00%10370.00%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
28Wild31200000610-4211000006511010000005-520.333611170013310193812098110441030551042220899222.22%9366.67%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
29Wolf Pack22000000844110000003211100000052341.0008162400133101938679811044103055581412488112.50%60100.00%11583301552.50%1573298152.77%792144854.70%2047144418875821041533
30Wolves2010000179-21000000134-11010000045-110.250713200013310193859981104410305553161244800.00%6183.33%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
31Wranglers43100000191362200000010552110000098160.75019335200133101938156981104410305513428261059222.22%13376.92%01583301552.50%1573298152.77%792144854.70%2047144418875821041533
Total8244250234433329142412111023221651372841231400022168154141070.6523336009332113310193830779811044103055286279957818912436727.57%2576176.26%41583301552.50%1573298152.77%792144854.70%2047144418875821041533
_Since Last GM Reset8244250234433329142412111023221651372841231400022168154141070.6523336009332113310193830779811044103055286279957818912436727.57%2576176.26%41583301552.50%1573298152.77%792144854.70%2047144418875821041533
_Vs Conference45221600322160163-323108003118079122128000118084-4530.5891602844441013310193816109811044103055152045032210411333727.82%1423674.65%31583301552.50%1573298152.77%792144854.70%2047144418875821041533
_Vs Division2513700220112902212630021049418137400010634914320.640112193305001331019389409811044103055895233169573712433.80%731678.08%31583301552.50%1573298152.77%792144854.70%2047144418875821041533

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82107W233360093330772862799578189121
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8244252344333291
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4121112322165137
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4123140022168154
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2436727.57%2576176.26%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
9811044103055133101938
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
1583301552.50%1573298152.77%792144854.70%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2047144418875821041533


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 - 2022-10-129Firebirds6Gulls4BLSommaire du match
5 - 2022-10-1532Gulls5Sound Tigers3AWSommaire du match
7 - 2022-10-1739Gulls5Wolf Pack2AWSommaire du match
8 - 2022-10-1848Gulls7Devils3AWSommaire du match
10 - 2022-10-2059Gulls4Bruins3AWSommaire du match
13 - 2022-10-2388Gulls4Griffins2AWSommaire du match
16 - 2022-10-26110Crunch2Gulls4BWSommaire du match
18 - 2022-10-28121Gulls5Silver Knights2AWSommaire du match
20 - 2022-10-30142Marlies3Gulls7BWSommaire du match
22 - 2022-11-01158Gulls1Barracuda2ALSommaire du match
24 - 2022-11-03171Gulls7Comets5AWSommaire du match
26 - 2022-11-05188Gulls6Barracuda4AWSommaire du match
27 - 2022-11-06192Checkers4Gulls5BWSommaire du match
30 - 2022-11-09210Wild2Gulls4BWSommaire du match
33 - 2022-11-12234IceHogs5Gulls3BLSommaire du match
36 - 2022-11-15255Griffins4Gulls2BLSommaire du match
38 - 2022-11-17266Gulls4Moose3AWSommaire du match
40 - 2022-11-19282Gulls4Thunderbirds5ALXXSommaire du match
42 - 2022-11-21296Gulls3Thunderbirds2AWSommaire du match
44 - 2022-11-23314Wolf Pack2Gulls3BWSommaire du match
46 - 2022-11-25323Senators3Gulls7BWSommaire du match
48 - 2022-11-27343Firebirds3Gulls5BWSommaire du match
50 - 2022-11-29356Gulls5Admirals4AWSommaire du match
52 - 2022-12-01371Gulls1Stars7ALSommaire du match
54 - 2022-12-03379Gulls0Wild5ALSommaire du match
55 - 2022-12-04392Gulls2Moose5ALSommaire du match
57 - 2022-12-06410Wolves4Gulls3BLXXSommaire du match
60 - 2022-12-09433Barracuda4Gulls5BWXXSommaire du match
63 - 2022-12-12451Gulls3Senators7ALSommaire du match
64 - 2022-12-13454Gulls4Marlies3AWSommaire du match
66 - 2022-12-15469Gulls3Rocket5ALSommaire du match
68 - 2022-12-17486Gulls7Condors5AWSommaire du match
71 - 2022-12-20516Gulls4Reign3AWXXSommaire du match
72 - 2022-12-21524Wild3Gulls2BLSommaire du match
74 - 2022-12-23544Wranglers2Gulls5BWSommaire du match
79 - 2022-12-28562Silver Knights2Gulls3BWSommaire du match
81 - 2022-12-30574Admirals3Gulls5BWSommaire du match
84 - 2023-01-02597Phantoms5Gulls3BLSommaire du match
86 - 2023-01-04611Stars4Gulls5BWSommaire du match
88 - 2023-01-06627Barracuda5Gulls4BLXSommaire du match
90 - 2023-01-08644Bruins2Gulls3BWXSommaire du match
93 - 2023-01-11660Condors3Gulls2BLXSommaire du match
95 - 2023-01-13675Devils3Gulls9BWSommaire du match
98 - 2023-01-16700Gulls1Penguins4ALSommaire du match
99 - 2023-01-17705Gulls4Phantoms0AWSommaire du match
101 - 2023-01-19717Gulls4Monsters3AWSommaire du match
103 - 2023-01-21732Gulls3Americans4ALXXSommaire du match
106 - 2023-01-24763Gulls6Roadrunners5AWXXSommaire du match
108 - 2023-01-26776Gulls4Eagles1AWSommaire du match
110 - 2023-01-28796Roadrunners3Gulls8BWSommaire du match
119 - 2023-02-06811Gulls5Stars4AWSommaire du match
120 - 2023-02-07818Gulls1IceHogs6ALSommaire du match
123 - 2023-02-10831Penguins2Gulls3BWXXSommaire du match
125 - 2023-02-12849Gulls1Silver Knights5ALSommaire du match
128 - 2023-02-15868Americans4Gulls5BWSommaire du match
130 - 2023-02-17882Reign4Gulls2BLSommaire du match
133 - 2023-02-20902Gulls11Checkers3AWSommaire du match
134 - 2023-02-21908Gulls5Crunch4AWSommaire du match
136 - 2023-02-23920Gulls1Bears5ALSommaire du match
138 - 2023-02-25939Gulls4Wolves5ALSommaire du match
140 - 2023-02-27957IceHogs3Gulls2BLSommaire du match
142 - 2023-03-01973Bears2Gulls1BLXXSommaire du match
144 - 2023-03-03987Rocket3Gulls4BWSommaire du match
148 - 2023-03-071021Gulls5Firebirds1AWSommaire du match
149 - 2023-03-081024Gulls3Comets6ALSommaire du match
151 - 2023-03-101037Gulls5Wranglers2AWSommaire du match
153 - 2023-03-121060Admirals2Gulls3BWSommaire du match
156 - 2023-03-151079Sound Tigers2Gulls6BWSommaire du match
158 - 2023-03-171094Monsters5Gulls4BLXSommaire du match
160 - 2023-03-191114Comets5Gulls3BLSommaire du match
162 - 2023-03-211131Wranglers3Gulls5BWSommaire du match
164 - 2023-03-231146Moose3Gulls2BLSommaire du match
166 - 2023-03-251164Thunderbirds5Gulls6BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
168 - 2023-03-271174Eagles1Gulls4BWSommaire du match
171 - 2023-03-301198Gulls3Firebirds6ALSommaire du match
173 - 2023-04-011216Gulls6Condors3AWSommaire du match
174 - 2023-04-021225Gulls4Wranglers6ALSommaire du match
177 - 2023-04-051242Condors5Gulls3BLSommaire du match
180 - 2023-04-081260Gulls8Roadrunners1AWSommaire du match
181 - 2023-04-091274Eagles6Gulls2BLSommaire du match
183 - 2023-04-111294Comets4Gulls5BWXSommaire du match
185 - 2023-04-131310Reign1Gulls4BWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4828
Assistance41,08621,122
Assistance PCT50.10%51.52%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 1517 - 50.58% 78,157$3,204,430$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
4,228,419$ 3,175,000$ 3,175,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
17,162$ 3,217,322$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 22,568$ 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 Richards65623181401671978208536341187172650212.00%204214193221.634907411231466900048865316453.99%811.010490
2Connor Mackey6723106745825649-2155416129557953130868.15%878716045423.87571739131075730838312441640.00%00.7000
3Brad Malone687418293301513011151571763514597214408.53%205911798317.16330414744256000016488359.86%10.8781163
4Drew O'Connor671723842554493814741872467101702055811.60%155810705515.94533233799710124616616253.24%10.92385
5Eric Tangradi5833203826974735984464315952111361515013.45%147311038818.92163568731203201116232624350.61%00.8681243

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 Vladar6509365922734050.9003.343776123281642103721108403241620.7921948
2Lukas Dostal56816211620.9242.5025323001057138730000.0000
3Mark Dekanich19311654210.9102.891166329356262503258780.803117
4Jeremy Smith1708762190.8972.91101761674934808501040.70364
5Juuse Saros1277736140.9152.30767761129434650430.65163

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
580462503132313255584023130202014611432402312011121671412610731353084317083109115320909981143105827961029120521212596123.55%1884973.94%6953177353.75%882167752.59%720137352.44%166886317809321645823
680472103234367264103402680112220312578402113021121641392511236760897511010114611433240114311451026250587464922672324519.40%1392780.58%71135203255.86%848161752.44%747141252.90%1775998377819311560776
776353104132304259453817160300214912524381815011301551342187304498802010741161073008010091093896241779462021121924221.88%1503477.33%2947177853.26%843160952.39%719133453.90%166992414267211500751
87634260443528826820381811041221431331038161500313145135109128847576351062125942996010051044928257791371920372356628.09%1384071.01%21032195052.92%856166951.29%596119549.87%164991415007251463729
980442003373308239694026800231166118484018120314214212121114308507815210851149932340108711141016265594158322662215123.08%1834575.41%71106209952.69%952185451.35%598117950.72%177299215437591541769
10803825052912782275140181103161130110204020140213014811731107278445723310491051103025092610131070266587169921952014321.39%1443079.17%41005198350.68%856170750.15%604116951.67%171192315597801590785
11803325034692732561740191401123131125640141102346142131119727344571831063100101306009989981041261585460622982456325.71%2005771.50%41035205550.36%868171250.70%606120250.42%175595615397891591776
127636290016425423420381815000141281199381814001501261151189254410664430569993284908511062929260586570920331826032.97%1954875.38%41007186254.08%846168350.27%581108853.40%162086614827381510746
13803825024383122585440201201205159131284018130123315312726983125148263109210910633150116211021038298399750122132295222.71%1804972.78%11128210053.71%963179753.59%658126851.89%176599215747591523757
14803925051732952563940211203022139127124018130215115612927106295488783030661151023248010621170990276081282221542415422.41%1634870.55%31078205752.41%882176649.94%653123053.09%175096915557681548768
1580382604246287253344021120102414412519401714032221431281510028747075712073107993161010431104992278492672722582476626.72%1623379.63%41076202053.27%930182550.96%658125752.35%176397415537611546777
16762827013107234230438151400135119122-33813130127211510878823441564903085766224690793813824217564575716742545822.83%3156978.10%71434255856.06%1344245554.75%669120255.66%192413381736570996506
17804524033232932177640251002021159106534020140130213411123106293526819260132886829170982998914202657554916402665119.17%2564084.38%41691291358.05%1326233656.76%804136658.86%2098148516925711042541
187636240046625021436381613004231261071938201100043124107179425045070023095806925040828841805224066150914722244419.64%2294182.10%51395250255.76%1310241854.18%669119755.89%190013281744555987497
198235300324821920613411814011341079894117160211411210849421938059938083705923370769739802230868353815971963216.33%2433884.36%31319249352.91%1280259849.27%620123550.20%1976135819416121075534
20824326083022852364941221205101145111344121140320114012515107285512797010999187295209419491029243773072220053095818.77%2886378.13%31648310253.13%1408266852.77%715132054.17%2059143318306031064540
218244250345131925465412411013201721333941201402131147121261093195608792301081069734490106711711159284472257920102544417.32%2333883.69%21903327258.16%1719295158.25%750136255.07%2111150418035731049536
2282373307320291254374117190221014113384120140511015012129952915308210209999843119010299921081283379073820592294519.65%3005382.33%51803320156.33%1650302254.60%739130656.58%2020140718775891042522
238240280354230227626412213032011581352341181500341144141310130253283422102969792987103295697547276976858920072635019.01%2394680.75%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
23824028035423022762641221303201158135234118150034114414131013025328342201029697298701032956975276976858920072635019.01%2394680.75%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
23824028035423022762641221303201158135234118150034114414131013025328342201029697298701032956975276976858920072635019.01%2394680.75%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
238240280354230227626412213032011581352341181500341144141310130253283422102969792987103295697547276976858920072635019.01%2394680.75%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
23824028035423022762641221303201158135234118150034114414131013025328342201029697298701032956975276976858920072635019.01%2394680.75%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
23824028035423022762641221303201158135234118150034114414131013025328342201029697298701032956975276976858920072635019.01%2394680.75%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
23824028035423022762641221303201158135234118150034114414131013025328342201029697298701032956975276976858920072635019.01%2394680.75%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
23824028035423022762641221303201158135234118150034114414131013025328342201029697298701032956975276976858920072635019.01%2394680.75%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
23824028035423022762641221303201158135234118150034114414131013025328342201029697298701032956975276976858920072635019.01%2394680.75%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
20228244250234433329142412111023221651372841231400022168154141073336009332113310193830779811044103055286279957818912436727.57%2576176.26%41583301552.50%1573298152.77%792144854.70%2047144418875821041533
Total Saison régulière2248110074409095123968221715510661124583353059413751419435146801124517391031548645402736413862817822114151223725267337251228142371841363045278732816324572740082239318111563656826145221.27%6114127779.11%86394257258454.32%354846656253.31%196663659953.73%535473468250489195603480317531
Séries éliminatoires
5115600000333305320000021156624000001218-610335790000815847301601751314621611312771915.26%17382.35%014827354.21%14827853.24%7518540.54%23312920131039212103
61710700000666069540000042393853000002421320661141801102225196710257233181556173129489351028.57%27677.78%223942755.97%17836548.77%16030053.33%37221341022089323160
71367000003539-4624000001420-6743000002119212355893000817843601321571374731611113552129.52%42783.33%215630551.15%16931453.82%9718652.15%262130277132265133
81046000002936-7532000001415-1514000001521-68295281110910938301181281334091497626030310.00%25676.00%014927753.79%12326047.31%8916653.61%2091162159418289
919910000005760-311560000030291844000002731-4185793150110142415747025424122878128014952040922.50%451175.56%123049346.65%25452348.57%12828744.60%407225410185360177
10514000001419-52110000076130300000713-621421351002751750386275198693612019421.05%13469.23%26012647.62%6413049.23%377946.84%96461004910352
11624000001818031200000880312000001010041834521005582450779375238797315315426.67%14564.29%09017850.56%8616053.75%468554.12%128741275310352
12624000001625-93210000099030300000716-941628441005642300678372285859015811218.18%25868.00%07915451.30%9319348.19%439246.74%124681415710952
1311650000040355532000001815363300000222021240701101007211243501341621354191428029929620.69%25676.00%114828352.30%13125850.78%9619050.53%23012823210620598
14514000001320-72110000056-130300000814-621320330003641890666159221664312714214.29%19857.89%06613050.77%8014156.74%447955.70%10053113489146
1540400000611-52020000035-22020000036-30612180003211270554030173636583300.00%13284.62%1468653.49%6011154.05%285749.12%753786407837
161257000003845-75410000021156716000001730-1310387010800020610352012695122421130143254401025.00%651281.54%120138652.07%23142754.10%11221851.38%2721843009015876
17514000001114-32020000046-23120000078-1211182900051519806457731414024942528.00%12558.33%010220150.75%8915358.17%407354.79%13294107356433
18734000002128-73210000011110413000001017-76214061000974275067817824770501512514.00%25196.00%016930555.41%16928459.51%7312956.59%1981352016311255
19514000001016-62110000055030300000511-62102030000361112040393315558531217114.29%22386.36%17113851.45%8617748.59%307341.10%10368131376429
20115600000363605410000021129615000001524-910366610210014129375012513210340011210028837616.22%481177.08%120641050.24%20042347.28%9519349.22%2581742798414369
2121129000005859-11174000003031-11055000002828024581021600101923136480217200225712215199514661116.67%821581.71%036674649.06%40582549.09%15032346.44%480330525160267131
22514000001423-92110000088030300000615-921426400005621580543764196595213218316.67%26773.08%07416943.79%10320250.99%408447.62%11374126386733
23514000001218-62110000068-230300000610-421224360002461560444365182545611918211.11%16568.75%08418046.67%7919041.58%368343.37%11476125366632
Total Séries éliminatoires1787510300000527595-68854639000002772631493296400000250332-8215052792514528401632031436385020952119201966692166166045144727916.74%56112577.72%122684526750.96%2748541450.76%1419288249.24%391523639619444429811467

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
1Kris Newbury50201636-2981406013714.60%1181316.2873102100002153.00%00.8800
2Jeff Taffe53122032-3755911488.11%3581315.36358702233048.72%00.7900
3Mike Zigomanis3911182962761831338.27%2668617.61112600000056.30%00.8400
4Derek Mackenzie17919289216378011.25%632218.981341000001052.13%01.7400
5Christian Fischer378182672491741246.45%377220.871342200000042.65%00.6700

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
1Linus Ullmark32171500.9142.931907219310790110.0000
2Mark Dekanich30121530.9233.08183321941214596030.0000
3Wade Dubielewicz24111210.9232.9214822072935230100.0000
4Mark Dekanich159600.8973.418972151494239010.0000
5Dan Taylor178630.9173.3410430058702375020.0000