Gulls
GP: 82 | W: 47 | L: 28 | OTL: 7 | P: 101
GF: 302 | GA: 276 | PP%: 19.01% | PK%: 80.75%
DG: Pascal Lemelin | Morale : 75 | Moyenne d’équipe : 62
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Gulls
47-28-7, 101pts
1
FINAL
4 Barracuda
47-28-7, 101pts
Team Stats
L2StreakL1
25-13-3Home Record25-13-3
22-15-4Away Record22-15-4
6-4-0Last 10 Games5-4-1
3.68Buts par match 4.16
3.37Buts contre par match 3.54
19.01%Pourcentage en avantage numérique27.73%
80.75%Pourcentage en désavantage numérique77.87%
Gulls
47-28-7, 101pts
3
FINAL
4 Stars
55-23-4, 114pts
Team Stats
L2StreakW8
25-13-3Home Record28-10-3
22-15-4Away Record27-13-1
6-4-0Last 10 Games9-1-0
3.68Buts par match 3.79
3.37Buts contre par match 2.90
19.01%Pourcentage en avantage numérique24.62%
80.75%Pourcentage en désavantage numérique80.24%
Meneurs d'équipe
David KampfButs
David Kampf
1
David KampfPasses
David Kampf
3
David KampfPoints
David Kampf
4
David KampfPlus/Moins
David Kampf
2
Dan VladarVictoires
Dan Vladar
45
Pourcentage d’arrêts
Lukas Dostal
0.924

Statistiques d’équipe
Buts pour
302
3.68 GFG
Tirs pour
2987
36.43 Avg
Pourcentage en avantage numérique
19.0%
50 GF
Début de zone offensive
41.8%
Buts contre
276
3.37 GAA
Tirs contre
2769
33.77 Avg
Pourcentage en désavantage numérique
80.8%
46 GA
Début de la zone défensive
39.4%
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
Assistance1,472
Billets de saison300


Information formation

Équipe Pro36
Équipe Mineure21
Limite contact 57 / 80
Espoirs37


Historique d'équipe

Saison actuelle47-28-7 (101PTS)
Historique887-495-140 (0.583%)
Apparitions séries éliminatoires 18
Historique séries éliminatoires (W-L)74-99
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$
2Eric Tangradi (A)0XX100.008346816292737661565863646980720756503211,000,000$
3Michael Dal Colle0XX100.00803594658374816859656256676965075650251906,500$
4Drew O'Connor (R)0X100.00583592628377796367666264666563075640233925,000$
5Anthony Greco0XX100.00563591736574796655646158647572075640283750,000$
6Jordan Szwarz0XX100.00724679637172756270616363637870075640301975,000$
7Brad Malone (C)0XX100.007661616284778261796362646380780756403211,000,000$
8Marc Michaelis (R)0XX100.00593595667078806356616257637166075630263925,000$
9Nolan Foote (R)0X100.00583595648370816559646357656163075630213925,000$
10Tyler Benson0X100.00543595657286776756666157636566075630231850,000$
11Austin Rueschhoff0X100.00898578569974715953575860546764075620243750,000$
12Christopher Wilkie0X100.00635768617278735962576463666964075610253750,000$
13Connor Mackey (R)0X100.00664285657877736230686361526965075640253925,000$
14Jonathan Ericsson (A)0X100.007335935890716759306057654987770756403711,000,000$
15Ethan Prow0X100.00594284636874796330665859507769075630292750,000$
16Jake Christiansen (R)32X100.00674383597674795930645559486362075610223925,000$
17Kristians Rubins0X100.00857459589474795630555361466965075610252700,000$
18Sean Day0X100.00793865598868735830605461466563075610231700,000$
Rayé
1Justin Richards (R)0XX89.33673594697277816771666168646562075650233925,000$
2Mark Kastelic (R)0X100.00763682568576815860565759566362075610223925,000$
3Nicholas Halloran0X100.00563986626571766366655457566764075610243750,000$
4Stelio Mattheos0XX100.00683689607773685967565861596364075610221850,000$
5Gregor MacLeod0XX100.00744383568362675659585658566563075600232700,000$
6Mason Primeau0X100.00813986569073785461595061536264075600203750,000$
7Patrick Khodorenko (R)0X100.00653593587479735769615654576563075600233925,000$
8Ryan McGregor (R)0XX100.00593583586882865766625659576362075600223925,000$
9Kyle MacLean0XX100.00685372557768735660585459556362075590223750,000$
10Riley Woods0XX100.00583593586772785762605554566563075590233750,000$
11Cole Schwindt (R)0XX100.00685669557763685357525654556062075570203925,000$
12Jonathan Aspirot0X100.00655669607474795830595756486965075600222700,000$
13Hunter Drew0X100.00705669557970755530555657476563075590232700,000$
14Cole Hults (R)0X100.00633888547268735630575354466563075580233925,000$
MOYENNE D’ÉQUIPE99.6769448361787476605461586057686507562
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 Vladar100.0079838086787779787779786872075680241750,000$
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
1Justin RichardsGulls (ANA)C/RW80394988101007622932410925912.04%25173221.6569155721600061988254.00%151300311.0206000657
2Connor MackeyGulls (ANA)D82135669-3661015797160471228.13%107195823.887916932270110188320.00%000100.7000110340
3Brad MaloneGulls (ANA)C/LW822240621620214177258831698.53%25141817.30459311310002471059.94%133300000.8712000544
4Drew O'ConnorGulls (ANA)LW822931601820291242516216211.55%19130315.9004412480003832253.15%14300100.9201000623
5Eetu LuostarinenGulls (ANA)C5426325814240681541836312414.21%13101918.8841115371300002722357.62%123400011.1402000214
6Eric TangradiGulls (ANA)C/LW71253358125751961361855515613.51%18135019.022792515100021024350.61%99000000.8613010436
7Michael Dal ColleGulls (ANA)LW/RW79292756-55002001392557715311.37%15185323.4646103920610142165249.66%59400120.6026000443
8Jordan SzwarzGulls (ANA)C/RW75222446-202801091182196918710.05%18122316.323710421810000163054.41%32900000.7500000212
9Anthony GrecoGulls (ANA)LW/RW37132841400792113299711.50%370519.065813251040001151245.61%5700001.1600000002
10Ethan ProwGulls (ANA)D821129406115558812339678.94%110174821.335712642080001183200.00%000000.4600010122
11Jonathan EricssonGulls (ANA)D747303774601207511643666.03%108174423.58347461970112163100.00%000000.4200000011
12Sean DayGulls (ANA)D74431356935222477620435.26%73139218.8227935134000093100.00%000000.5000000112
13Marc MichaelisGulls (ANA)C/LW821115266100429211228869.82%77719.4100000000151246.23%86300000.6700000020
14Nolan FooteGulls (ANA)LW8261824710024599830786.12%106968.500441258000090154.33%20800000.6911000002
15Jake ChristiansenGulls (ANA)D675182346062515511379.09%84113216.902021143000295200.00%000000.4100000021
16Austin RueschhoffGulls (ANA)RW3961016626070307319518.22%652513.4700038000011139.47%3800000.6100000110
17Kristians RubinsGulls (ANA)D702141611735225415212363.85%68109015.580001137000039000.00%000000.2900000100
18Tyler BensonGulls (ANA)LW806713-102011397417538.11%105066.330000120000100151.52%13200000.5100000000
19David KampfDucksC/LW/RW5134200719285163.57%212525.170115110000100164.47%15200000.6401000001
20Mark KastelicGulls (ANA)C30011020442020.00%0270.9300011000000040.00%3500000.7200000000
21Stelio MattheosGulls (ANA)C/RW15101-4007891611.11%1785.2600003000000040.00%500000.2500000000
22Christopher WilkieGulls (ANA)RW3000000001010.00%051.710001100001000.00%000000.0000000000
23Gregor MacLeodGulls (ANA)C/LW4000000000000.00%030.8800000000020050.00%200000.0000000000
24Jonathan AspirotGulls (ANA)D1000000100000.00%044.780000000000000.00%000000.0000000000
25Nicholas HalloranGulls (ANA)RW3000100113100.00%0134.370000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne13532784967747357830190718202770820197110.04%7222243216.5847891365502117123261558372253.93%762800640.69522130363340
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)80452850.9003.3546444225925960420.79224801161
2Lukas DostalGulls (ANA)72020.9242.5031200131710000.0000280000
Statistiques d’équipe totales ou en moyenne87472870.9023.2949564227227670420.792248281161


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$4,144$750,000$4,144$0$0$No750,000$750,000$Lien / Lien NHL
Austin RueschhoffGulls (ANA)RW249/7/1997No230 Lbs6 ft7NoNoNo3Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$750,000$Lien
Brad MaloneGulls (ANA)C/LW325/20/1989No217 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$5,525$1,000,000$5,525$0$0$NoLien / Lien NHL
Brett BrochuGulls (ANA)G199/9/2002Yes161 Lbs5 ft11NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Christopher WilkieGulls (ANA)RW257/10/1996No190 Lbs6 ft0NoNoNo3Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$750,000$Lien
Cole HultsGulls (ANA)D235/22/1998Yes189 Lbs6 ft0NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Cole SchwindtGulls (ANA)C/RW204/25/2001Yes182 Lbs6 ft2NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Connor MackeyGulls (ANA)D259/12/1996Yes190 Lbs6 ft2NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Dan VladarGulls (ANA)G248/20/1997No185 Lbs6 ft5NoNoNo1Pro & Farm750,000$4,144$750,000$4,144$0$0$NoLien / Lien NHL
Drew O'ConnorGulls (ANA)LW236/9/1998Yes200 Lbs6 ft3NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Eetu LuostarinenGulls (ANA)C239/2/1998No190 Lbs6 ft3NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$0$0$No925,000$Lien / Lien NHL
Eric TangradiGulls (ANA)C/LW322/10/1989No226 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$5,525$1,000,000$5,525$0$0$NoLien / Lien NHL
Ethan ProwGulls (ANA)D2911/17/1992No180 Lbs5 ft11NoNoNo2Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$Lien / Lien NHL
Gregor MacLeodGulls (ANA)C/LW236/7/1998No170 Lbs6 ft5NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Griffen OuthouseGulls (ANA)G233/13/1998No185 Lbs6 ft0NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Hunter DrewGulls (ANA)D2310/21/1998No191 Lbs6 ft2NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Jake ChristiansenGulls (ANA)D229/12/1999Yes195 Lbs6 ft1NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Jonathan AspirotGulls (ANA)D225/16/1999No200 Lbs6 ft0NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Jonathan EricssonGulls (ANA)D373/2/1984No218 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$5,525$1,000,000$5,525$0$0$NoLien / Lien NHL
Jordan SzwarzGulls (ANA)C/RW305/14/1991No192 Lbs5 ft11NoNoNo1Pro & Farm975,000$5,387$918,750$5,076$0$0$NoLien / Lien NHL
Justin Richards (sur la masse salariale)Gulls (ANA)C/RW233/17/1998Yes190 Lbs5 ft11NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$Yes925,000$925,000$
Kristians RubinsGulls (ANA)D2512/11/1996No221 Lbs6 ft5NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Kyle MacLeanGulls (ANA)C/LW224/29/1999No183 Lbs6 ft2NoNoNo3Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$750,000$Lien
Lukas DostalGulls (ANA)G216/22/2000Yes174 Lbs6 ft2NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Marc MichaelisGulls (ANA)C/LW267/31/1995Yes187 Lbs5 ft11NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Mark KastelicGulls (ANA)C2211/3/1999Yes210 Lbs6 ft3NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Mason PrimeauGulls (ANA)C207/28/2001No205 Lbs6 ft5NoNoNo3Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$750,000$Lien
Michael Dal ColleGulls (ANA)LW/RW256/20/1996No200 Lbs6 ft3NoNoNo1Pro & Farm906,500$5,008$906,500$5,008$0$0$NoLien / Lien NHL
Nicholas HalloranGulls (ANA)RW245/13/1997No174 Lbs5 ft10NoNoNo3Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$750,000$Lien
Nolan FooteGulls (ANA)LW2111/29/2000Yes196 Lbs6 ft3NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Patrick KhodorenkoGulls (ANA)C2310/13/1998Yes200 Lbs6 ft0NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Riley WoodsGulls (ANA)C/LW236/25/1998No181 Lbs5 ft10NoNoNo3Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$750,000$Lien
Ryan McGregorGulls (ANA)C/LW221/29/1999Yes168 Lbs6 ft0NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Sean DayGulls (ANA)D231/9/1998No225 Lbs6 ft3NoNoNo1Pro & Farm700,000$3,867$700,000$3,867$0$0$NoLien / Lien NHL
Stelio MattheosGulls (ANA)C/RW226/14/1999No196 Lbs6 ft1NoNoNo1Pro & Farm850,000$4,696$700,000$3,867$0$0$NoLien / Lien NHL
Tyler BensonGulls (ANA)LW233/15/1998No190 Lbs6 ft0NoNoNo1Pro & Farm850,000$4,696$700,000$3,867$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3624.22193 Lbs6 ft22.31846,708$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael Dal ColleTyler BensonJordan Szwarz40122
2Eric TangradiEetu LuostarinenAnthony Greco30122
3Drew O'ConnorBrad MaloneAustin Rueschhoff20122
4Nolan FooteMarc MichaelisMichael Dal Colle10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonathan EricssonConnor Mackey40122
2Ethan ProwSean Day30122
3Kristians RubinsJake Christiansen20122
4Jonathan EricssonConnor Mackey10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Michael Dal ColleBrad MaloneJordan Szwarz60122
2Eric TangradiEetu LuostarinenAnthony Greco40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jonathan EricssonConnor Mackey60122
2Ethan ProwSean Day40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Michael Dal ColleJordan Szwarz60122
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
2Eetu Luostarinen40122Ethan ProwSean Day40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Michael Dal ColleDrew O'Connor60122
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 ColleEetu LuostarinenJordan SzwarzJonathan EricssonConnor Mackey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Michael Dal ColleEetu LuostarinenJordan SzwarzJonathan EricssonConnor Mackey
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Benson, Brad Malone, Drew O'ConnorTyler Benson, Brad MaloneDrew O'Connor
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kristians Rubins, Jake Christiansen, Ethan ProwKristians RubinsJake Christiansen, Ethan Prow
Tirs de pénalité
Michael Dal Colle, Jordan Szwarz, Eetu Luostarinen, Eric Tangradi, Brad Malone
Gardien
#1 : Dan Vladar, #2 : Lukas Dostal
Lignes d’attaque personnalisées en prolongation
Michael Dal Colle, Tyler Benson, Eetu Luostarinen, Eric Tangradi, Brad Malone, Jordan Szwarz, Jordan Szwarz, Anthony Greco, Drew O'Connor, Marc Michaelis, Nolan Foote
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
1Admirals320000011312111000000321210000011010050.83313243700102969791061032956975471093228669333.33%13469.23%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
2Americans21100000550110000004221010000013-220.50051015001029697964103295697547491510468112.50%4175.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
3Barracuda4210100014131210010009632110000057-260.7501426400010296979125103295697547119312310314321.43%9188.89%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
4Bears210001001082110000005231000010056-130.750101828001029697967103295697547541164710110.00%3166.67%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
5Bruins211000001112-1110000008711010000035-220.50011193000102969798710329569754788178359444.44%4250.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
6Checkers2110000068-21010000036-31100000032120.50061117001029697969103295697547892610505240.00%4175.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
7Comets4310000021156211000001010022000000115660.7502140611010296979154103295697547172451610410330.00%7185.71%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
8Condors31100100990110000003122010010068-230.50091625001029697912210329569754799322075600.00%9188.89%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
9Crunch211000005321010000023-11100000030320.5005813011029697960103295697547782016534125.00%80100.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
10Devils220000001073110000005411100000053241.000101828001029697910610329569754763231461400.00%60100.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
11Eagles3110010010731000010023-12110000084430.50010172700102969798310329569754794301459500.00%7271.43%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
12Firebirds3300000012842200000010731100000021161.0001219310010296979102103295697547952543629222.22%10190.00%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
13Griffins21100000862110000005231010000034-120.50081523001029697971103295697547721816599222.22%7185.71%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
14Heat41200100912-3211000006512010010037-430.3759142300102969791531032956975471133326841317.69%12283.33%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
15IceHogs32100000981110000005322110000045-140.66791524001029697994103295697547842622609111.11%11281.82%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
16Marlies2020000049-51010000025-31010000024-200.000481200102969796410329569754773296447342.86%30100.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
17Monsters201000109901010000045-11000001054120.5009132200102969798210329569754791203162800.00%8275.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
18Moose30001110981200011005501000001043150.833914230010296979100103295697547943120621218.33%9277.78%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
19Penguins2020000038-51010000023-11010000015-400.000369001029697971103295697547781910516116.67%5180.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
20Phantoms2110000078-11010000025-31100000053220.50071320001029697963103295697547612110617228.57%5180.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
21Reign431000001495211000008532200000064260.750142741001029697915210329569754710930209413430.77%10370.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
22Roadrunners30300000413-92020000037-41010000016-500.00047111010296979811032956975471123526645120.00%11463.64%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
23Rocket220000001293110000005321100000076141.000122436001029697979103295697547682015478337.50%50100.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
24Senators220000001165110000006421100000052341.0001122330010296979711032956975475512234712433.33%6266.67%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
25Silver Knights420000112318521000001119221000010129370.8752336590010296979222103295697547133402412619315.79%12466.67%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
26Sound Tigers21100000871110000004221010000045-120.50081422001029697987103295697547911735528112.50%9277.78%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
27Stars3120000012120211000009811010000034-120.333122032001029697985103295697547932618678225.00%8275.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
28Thunderbirds320010001064210010006421100000042261.0001018280010296979119103295697547109181996500.00%7185.71%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
29Wild312000001012-21010000014-32110000098120.3331019290010296979119103295697547111282687700.00%120100.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
30Wolf Pack21100000972110000008351010000014-320.5009162500102969795910329569754761162450700.00%11190.91%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
31Wolves21000010523110000002021000001032141.0005510011029697970103295697547522210337114.29%4175.00%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
Total824028035423022762641221303201158135234118150034114414131010.61630253283422102969792987103295697547276976858920072635019.01%2394680.75%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
_Since Last GM Reset824028035423022762641221303201158135234118150034114414131010.61630253283422102969792987103295697547276976858920072635019.01%2394680.75%11683309154.45%1572291353.96%752138454.34%2056144418535811053539
_Vs Conference4620130344216414321221150320179621724980024185814600.65216427944301102969791703103295697547148241731711331442114.58%1382879.71%01683309154.45%1572291353.96%752138454.34%2056144418535811053539
_Vs Division261180131194895136301101504371355002104446-2300.5779416626020102969791009103295697547857246155650801518.75%701677.14%01683309154.45%1572291353.96%752138454.34%2056144418535811053539

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82101L230253283429872769768589200722
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8240283542302276
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4122133201158135
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4118150341144141
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
2635019.01%2394680.75%1
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
10329569754710296979
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
1683309154.45%1572291353.96%752138454.34%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2056144418535811053539


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 - 2021-10-135Moose3Gulls4BWXSommaire du match
4 - 2021-10-1519Wild4Gulls1BLSommaire du match
7 - 2021-10-1837Gulls1Heat4ALSommaire du match
8 - 2021-10-1949Gulls3Condors4ALSommaire du match
10 - 2021-10-2159Gulls4Moose3AWXXSommaire du match
12 - 2021-10-2368Gulls5Wild3AWSommaire du match
15 - 2021-10-2695Moose2Gulls1BLXSommaire du match
17 - 2021-10-28107Americans2Gulls4BWSommaire du match
18 - 2021-10-29115Gulls6Silver Knights5AWXXSommaire du match
20 - 2021-10-31128Rocket3Gulls5BWSommaire du match
22 - 2021-11-02142Devils4Gulls5BWSommaire du match
25 - 2021-11-05160Roadrunners3Gulls1BLSommaire du match
27 - 2021-11-07176Thunderbirds2Gulls3BWSommaire du match
29 - 2021-11-09190Gulls5Comets3AWSommaire du match
31 - 2021-11-11205Gulls2Firebirds1AWSommaire du match
34 - 2021-11-14229Comets6Gulls4BLSommaire du match
36 - 2021-11-16243Bears2Gulls5BWSommaire du match
38 - 2021-11-18258Wolves0Gulls2BWSommaire du match
42 - 2021-11-22283Gulls6Admirals5AWSommaire du match
44 - 2021-11-24299Gulls6Eagles1AWSommaire du match
46 - 2021-11-26308Senators4Gulls6BWSommaire du match
48 - 2021-11-28332Marlies5Gulls2BLSommaire du match
50 - 2021-11-30345Gulls3Reign2AWSommaire du match
51 - 2021-12-01350Silver Knights4Gulls7BWSommaire du match
53 - 2021-12-03365Heat2Gulls4BWSommaire du match
56 - 2021-12-06384Gulls5Bears6ALXSommaire du match
57 - 2021-12-07392Gulls1Americans3ALSommaire du match
59 - 2021-12-09404Gulls5Monsters4AWXXSommaire du match
61 - 2021-12-11423Gulls1Penguins5ALSommaire du match
62 - 2021-12-12431Gulls4Thunderbirds2AWSommaire du match
65 - 2021-12-15453Firebirds4Gulls5BWSommaire du match
67 - 2021-12-17470Roadrunners4Gulls2BLSommaire du match
70 - 2021-12-20493Gulls3Condors4ALXSommaire du match
71 - 2021-12-21500Gulls2Heat3ALXSommaire du match
73 - 2021-12-23520Gulls6Comets2AWSommaire du match
77 - 2021-12-27535Barracuda3Gulls5BWSommaire du match
79 - 2021-12-29551Comets4Gulls6BWSommaire du match
81 - 2021-12-31561Gulls6Silver Knights4AWSommaire du match
83 - 2022-01-02578Gulls2Eagles3ALSommaire du match
85 - 2022-01-04594Phantoms5Gulls2BLSommaire du match
87 - 2022-01-06609Griffins2Gulls5BWSommaire du match
89 - 2022-01-08626Wolf Pack3Gulls8BWSommaire du match
92 - 2022-01-11644Penguins3Gulls2BLSommaire du match
95 - 2022-01-14662Gulls4Wild5ALSommaire du match
96 - 2022-01-15675Gulls1IceHogs3ALSommaire du match
100 - 2022-01-19703Eagles3Gulls2BLXSommaire du match
102 - 2022-01-21719Crunch3Gulls2BLSommaire du match
105 - 2022-01-24737Gulls3Bruins5ALSommaire du match
107 - 2022-01-26752Gulls2Marlies4ALSommaire du match
108 - 2022-01-27757Gulls7Rocket6AWSommaire du match
110 - 2022-01-29772Gulls5Senators2AWSommaire du match
112 - 2022-01-31794Gulls3Griffins4ALSommaire du match
117 - 2022-02-05828Reign1Gulls5BWSommaire du match
119 - 2022-02-07845Sound Tigers2Gulls4BWSommaire du match
121 - 2022-02-09859Bruins7Gulls8BWSommaire du match
124 - 2022-02-12879Silver Knights5Gulls4BLXXSommaire du match
126 - 2022-02-14897Barracuda3Gulls4BWXSommaire du match
128 - 2022-02-16911Gulls3IceHogs2AWSommaire du match
130 - 2022-02-18925Gulls4Admirals5ALXXSommaire du match
132 - 2022-02-20938Gulls5Devils3AWSommaire du match
133 - 2022-02-21948Gulls4Sound Tigers5ALSommaire du match
135 - 2022-02-23955Gulls1Wolf Pack4ALSommaire du match
138 - 2022-02-26981Checkers6Gulls3BLSommaire du match
141 - 2022-03-011003Admirals2Gulls3BWSommaire du match
143 - 2022-03-031018IceHogs3Gulls5BWSommaire du match
145 - 2022-03-051033Firebirds3Gulls5BWSommaire du match
146 - 2022-03-061045Gulls4Barracuda3AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2022-03-091067Stars3Gulls5BWSommaire du match
151 - 2022-03-111082Stars5Gulls4BLSommaire du match
152 - 2022-03-121089Gulls1Roadrunners6ALSommaire du match
154 - 2022-03-141107Condors1Gulls3BWSommaire du match
157 - 2022-03-171127Heat3Gulls2BLSommaire du match
160 - 2022-03-201149Gulls5Phantoms3AWSommaire du match
161 - 2022-03-211158Gulls3Wolves2AWXXSommaire du match
163 - 2022-03-231165Gulls3Checkers2AWSommaire du match
165 - 2022-03-251184Gulls3Crunch0AWSommaire du match
168 - 2022-03-281214Monsters5Gulls4BLSommaire du match
170 - 2022-03-301225Reign4Gulls3BLSommaire du match
174 - 2022-04-031258Gulls3Reign2AWSommaire du match
175 - 2022-04-041268Thunderbirds2Gulls3BWXSommaire du match
177 - 2022-04-061284Gulls1Barracuda4ALSommaire du match
180 - 2022-04-091309Gulls3Stars4ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4828
Assistance40,06620,275
Assistance PCT48.86%49.45%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 1472 - 49.06% 77,245$3,167,045$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
4,154,255$ 3,048,150$ 2,525,025$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
16,330$ 3,145,060$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 22,365$ 22,365$




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
1Kris Newbury464166222388708051502656148611.17%149788216.99375087145000140652.92%20.981145
2Michael Latta49612519732267428103298413099.55%158849917.1414354911178152217957.07%30.76410
3Jeff Taffe365130190320125151159213029.98%160639617.5227618811602212131451.09%41.00317
4Andrew Miller411110143253601914567511399.66%102706217.181919381185382017551.22%00.7245
5Jeff Taffe284991292286010453742210159.75%50516018.172524491580771514644.19%10.881133

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
1Mark Dekanich19311654210.9102.891166329356262503258780.803117
2Jeremy Smith1708762190.8972.91101761674934808501040.70364
3Juuse Saros1277736140.9152.30767761129434650430.65163
4Harri Sateri1317343140.9093.077914213405445424541050.58255
5Andrew Hammond137714880.9053.09751910138740560200.5569

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
Total Saison régulière151073649506452877654724656816755386238033223541276522974687553502570313052352707235934819025472929514767345010216011952167557163103218649194661764548994154501282138418447998521.99%394584878.50%74243784484154.37%213354027752.97%128582407953.40%350492167833774143242533312679
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
Total Séries éliminatoires173749900000515577-62834538000002712551690296100000244322-7814851590114168401611991376229020512076195464872112160443954547716.96%54512077.98%122600508751.11%2669522451.09%1383279949.41%380022869493440829141435

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