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Connexion

Gulls
GP: 11 | W: 4 | L: 5 | OTL: 2 | P: 10
GF: 29 | GA: 38 | PP%: 20.59% | PK%: 87.50%
DG: Tommy Rhéaume | Morale : 46 | Moyenne d’équipe : 65
Prochains matchs #171 vs Reign

Centre de jeu
Condors
6-3-0, 12pts
4
3 Gulls
4-5-2, 10pts
Team Stats
SOW1SéquenceOTW1
1-3-0Fiche domicile1-2-1
5-0-0Fiche domicile3-3-1
6-3-0Derniers 10 matchs4-4-2
3.56Buts par match 2.64
2.56Buts contre par match 3.45
28.13%Pourcentage en avantage numérique20.59%
74.07%Pourcentage en désavantage numérique87.50%
Gulls
4-5-2, 10pts
5
4 Monsters
7-1-1, 15pts
Team Stats
OTW1SéquenceOTL1
1-2-1Fiche domicile4-1-1
3-3-1Fiche domicile3-0-0
4-4-2Derniers 10 matchs7-1-1
2.64Buts par match 3.78
3.45Buts contre par match 2.78
20.59%Pourcentage en avantage numérique31.25%
87.50%Pourcentage en désavantage numérique81.82%
Reign
3-2-5, 11pts
2025-09-16
Gulls
4-5-2, 10pts
Statistiques d’équipe
SOL1SéquenceOTW1
0-2-4Fiche domicile1-2-1
3-0-1Fiche visiteur3-3-1
3-2-510 derniers matchs4-4-2
3.50Buts par match 2.64
4.00Buts contre par match 2.64
27.27%Pourcentage en avantage numérique20.59%
63.33%Pourcentage en désavantage numérique87.50%
Gulls
4-5-2, 10pts
2025-09-18
Iowa Wild
3-3-2, 8pts
Statistiques d’équipe
OTW1SéquenceL3
1-2-1Fiche domicile2-3-1
3-3-1Fiche visiteur1-0-1
4-4-210 derniers matchs3-3-2
2.64Buts par match 2.88
3.45Buts contre par match 2.88
20.59%Pourcentage en avantage numérique17.39%
87.50%Pourcentage en désavantage numérique83.33%
Iowa Wild
3-3-2, 8pts
2025-09-20
Gulls
4-5-2, 10pts
Statistiques d’équipe
L3SéquenceOTW1
2-3-1Fiche domicile1-2-1
1-0-1Fiche visiteur3-3-1
3-3-210 derniers matchs4-4-2
2.88Buts par match 2.64
3.63Buts contre par match 2.64
17.39%Pourcentage en avantage numérique20.59%
83.33%Pourcentage en désavantage numérique87.50%
Meneurs d'équipe
Buts
Vitaly Abramov
5
Passes
Tyson Kozak
6
Points
Tyson Kozak
8
Plus/Moins
Mikhail Grigorenko
2
Victoires
Spencer Martin
3
Pourcentage d’arrêts
Oscar Dansk
0.918

Statistiques d’équipe
Buts pour
29
2.64 GFG
Tirs pour
367
33.36 Avg
Pourcentage en avantage numérique
20.6%
7 GF
Début de zone offensive
45.1%
Buts contre
38
3.45 GAA
Tirs contre
320
29.09 Avg
Pourcentage en désavantage numérique
87.5%%
3 GA
Début de la zone défensive
36.1%
Informations de l'équipe

Directeur généralTommy Rhéaume
EntraîneurDave Lowry
DivisionDivision Pacifique
ConférenceConference 2
CapitaineAdam Boqvist
Assistant #1Conor Timmins
Assistant #2Oskar Back


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Informations de la formation

Équipe Pro30
Équipe Mineure19
Limite contact 49 / 56
Espoirs29


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
1Oskar Back (A)0X100.006346937572749075817368756458535849670262900,000$
2Kalle Kossila0XX100.0057449971697477736571727865765942496703311,200,000$
3Vinnie Hinostroza0XX100.0063459173697778706571686963796646526703211,500,000$
4Adam Ruzicka0X100.0064469172737383707073706771645158496602731,300,000$
5Joseph Labate0XX100.0099459972777066726865657863484530496603331,400,000$
6Brett Leason0X100.0072459974777279726766667064685554496602731,300,000$
7Tyson Kozak (R)0X100.007545958168728072736865765950457049660231900,000$
8Mikhail Grigorenko0X100.0056439970737387688366657063915634496503222,000,000$
9Marc Gatcomb (R)0X100.007945917971708171506867726155456049650271900,000$
10Linus Karlsson0X100.006745917268727573637072727153505849650262900,000$
11Joona Luoto0XX100.0060479673757381716766677463715450496502811,700,000$
12Vitaly Abramov0XX100.0064468672677477737171707568625454496502821,200,000$
13Conor Timmins (A)0X98.0065459072717879754577697260645254496702721,350,000$
14Adam Boqvist (C)0X99.006345917469747774457572716973516649670262900,000$
15Noah Juulsen0X100.0059469375737880714567727260765558496702911,500,000$
16Markus Niemelainen0X100.0083458672727778704567647356625454496602821,500,000$
17Victor Antipin0X100.0057489672687283714574667263775542496603311,500,000$
18Wiley Sherman0X100.0077457971747769674561647357675550496503111,200,000$
Rayé
1Justin Bailey0XX100.0078607672737782656569686766695646406503111,200,000$
2Chase Pearson0XX100.0071468372707076667667667554655354396402921,200,000$
3Alexander Khovanov0X100.007263527268706869716767665447466239610262750,000$
4Leevi Aaltonen0XX100.006245857266707066606666676045457039610252750,000$
5Mikhail Abramov (R)0X100.005746847367646468716569686549517039610253750,000$
6Kevin Connauton44X100.0062459870737069704566677165755818396503631,200,000$
7Jerome Gauthier-Leduc0X100.0061458968716967684567637162695430396303421,000,000$
8Anton Lindholm0X100.0059459771706974684566627062584938396303121,000,000$
MOYENNE D’ÉQUIPE99.88674790737173777060696772636453514665
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
1Spencer Martin099.008487818078788077777788677650476703111,500,000$
2Oscar Dansk0100.007986848080748278798277515634476403221,000,000$
Rayé
1Benjamin Conz37100.00777472747875817779808345502644620353800,000$
2Olivier Roy0100.00787877757973797777787845503044620352900,000$
MOYENNE D’ÉQUIPE99.7580817977797581777879825258354664
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Lowry53676061615649CAN623100,000$


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
1Tyson KozakGulls (Ana)C11268-4201916282227.14%316615.13134729000000048.54%20600000.9600000001
2Conor TimminsGulls (Ana)D11167-740910154126.67%1625423.1811272700007000%000000.5500000100
3Joona LuotoGulls (Ana)LW/RW11257-30055303196.67%116815.340331029000000055.56%900000.8300000010
4Markus NiemelainenGulls (Ana)D11156-2100196173105.88%1422420.431231029000020000%000000.5300000000
5Vitaly AbramovGulls (Ana)LW/RW11516160131036101813.89%315414.02000000002180050.00%1000000.7800000002
6Joseph LabateGulls (Ana)LW/RW11415-64028122792714.81%217415.82101428000010244.44%900000.5701000110
7Mikhail GrigorenkoGulls (Ana)C113252202282231513.64%116014.62000000002201158.15%22700000.6200000100
8Oskar BackGulls (Ana)C11145-600318327263.13%017115.56022728000000054.04%23500000.5812000000
9Wiley ShermanGulls (Ana)D11235-2120248103520.00%1119117.3700012000217100%000000.5200000000
10Kalle KossilaGulls (Ana)LW/RW11145-60004388352.63%117115.56000728000001060.00%1000000.5802000000
11Noah JuulsenGulls (Ana)D11325-3001111631218.75%1722220.27213729000022000%000000.4500000100
12Adam BoqvistGulls (Ana)D11134-81001014135137.69%1224322.1310172700001000%000000.3302000000
13Adam RuzickaGulls (Ana)C111231207422784.55%116815.34000010000211046.67%6000000.3601000000
14Marc GatcombGulls (Ana)RW11033-3001511164100%316014.63000010000220050.00%600000.3700000000
15Brett LeasonGulls (Ana)C11022-30051381120%014212.9700001000020042.28%14900000.2800000000
16Linus KarlssonGulls (Ana)C11202-320081741611.76%313712.4700000000000050.00%600000.2901000010
17Victor AntipinGulls (Ana)D11022-220366430%1019517.7600022000020000%000000.2000000000
18Vinnie HinostrozaGulls (Ana)LW/RW7022-30020123100%011316.16000321000000044.44%900000.3500000000
19Justin BaileyGulls (Ana)LW/RW4011-200942230%06416.0301107000020060.00%500000.3100000000
Statistiques d’équipe totales ou en moyenne198295483-59560174188367852767.90%98328516.59713207229600061774351.33%94100000.5119000433
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
1Spencer MartinGulls (Ana)93410.8783.4047700272210010.667383010
2Oscar DanskGulls (Ana)41110.9182.46195008980000.667638020
Statistiques d’équipe totales ou en moyenne134520.8903.13672003531900191111030


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Adam BoqvistGulls (Ana)D262000-08-15SWENo191 Lbs6 ft0NoNoProspectNoNo22025-05-07FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Adam RuzickaGulls (Ana)C271999-05-11SVKNo215 Lbs6 ft4NoNoN/ANoNo32026-05-12FalseFalsePro & Farm1,300,000$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------Lien
Alexander KhovanovGulls (Ana)C262000-04-12RUSNo198 Lbs5 ft10NoNoProspectNoNo22025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Anton LindholmGulls (Ana)D311994-11-29SWENo191 Lbs5 ft11NoNoFree AgentNoNo22025-07-06FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Benjamin ConzGulls (Ana)G351991-09-13SUINo198 Lbs5 ft10NoNoFree Agent2024-10-27NoNo32026-07-08FalseFalseFarm Only800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Brett LeasonGulls (Ana)C271999-04-30CANNo220 Lbs6 ft5NoNoFree Agent2025-05-13NoNo32026-07-06FalseFalsePro & Farm1,300,000$0$0$No1,300,000$1,300,000$-------1,300,000$1,300,000$-------NoNo-------Lien
Chase PearsonGulls (Ana)LW/RW291997-08-23CANNo202 Lbs6 ft3NoNoTrade2024-07-27NoNo22025-05-28FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Conor TimminsGulls (Ana)D271998-09-18CANNo202 Lbs6 ft2NoNoN/ANoNo22026-05-12FalseFalsePro & Farm1,350,000$0$0$No1,350,000$--------1,350,000$--------No--------Lien
Jerome Gauthier-LeducGulls (Ana)D341992-07-30CANNo192 Lbs6 ft2NoNoFree AgentNoNo22025-07-03FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Joona LuotoGulls (Ana)LW/RW281997-09-26FINNo210 Lbs6 ft3NoNoTrade2026-05-01NoNo12025-07-03FalseFalsePro & Farm1,700,000$0$0$No---------------------------Lien
Joseph LabateGulls (Ana)LW/RW331993-04-16USANo225 Lbs6 ft5NoNoFree AgentNoNo32026-07-03FalseFalsePro & Farm1,400,000$0$0$No1,400,000$1,400,000$-------1,400,000$1,400,000$-------NoNo-------Lien
Justin BaileyGulls (Ana)LW/RW311995-07-01USANo214 Lbs6 ft4NoNoTrade2024-06-25NoNo12024-04-29FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Kalle KossilaGulls (Ana)LW/RW331993-04-14FINNo185 Lbs5 ft10NoNoTrade2025-08-22NoNo12024-07-02FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Kevin ConnautonGulls (Ana)D361990-02-23CANNo200 Lbs6 ft2NoNoFree AgentNoNo32026-07-08FalseFalsePro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------1,200,000$1,200,000$-------NoNo-------Lien
Leevi AaltonenGulls (Ana)LW/RW252001-01-24FINNo177 Lbs5 ft9NoNoProspectNoNo22025-06-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Lien
Linus KarlssonGulls (Ana)C261999-11-16SWENo178 Lbs6 ft1NoNoProspectNoNo22025-05-07FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Marc GatcombGulls (Ana)RW271999-07-22USAYes200 Lbs6 ft2NoNoFree AgentNoNo12026-05-08FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Markus NiemelainenGulls (Ana)D281998-06-08FINNo190 Lbs6 ft6NoNoN/ANoNo22025-05-28FalseFalsePro & Farm1,500,000$0$0$No1,500,000$--------1,500,000$--------No--------Lien
Mikhail AbramovGulls (Ana)C252001-03-26RUSYes161 Lbs6 ft0NoNoProspectNoNo32026-06-18FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------Lien
Mikhail GrigorenkoGulls (Ana)C321994-05-16RUSNo200 Lbs6 ft3NoNoFree Agent2024-12-10NoNo22025-07-06FalseFalsePro & Farm2,000,000$0$0$No2,000,000$--------2,000,000$--------No--------Lien
Noah JuulsenGulls (Ana)D291997-04-02CANNo194 Lbs6 ft2NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Olivier RoyGulls (Ana)G351991-07-12CANNo194 Lbs5 ft11NoNoFree AgentNoNo22025-07-06FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Oscar DanskGulls (Ana)G321994-02-28SWENo204 Lbs6 ft3NoNoFree AgentNoNo22025-07-03FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Oskar BackGulls (Ana)C262000-03-12SWENo202 Lbs6 ft4NoNoProspectNoNo22025-05-07FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------Lien
Spencer MartinGulls (Ana)G311995-06-08CANNo205 Lbs6 ft3NoNoTrade2026-05-01NoNo12024-04-29FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Tyson KozakGulls (Ana)C232002-12-29CANYes185 Lbs5 ft11NoNoFree AgentNoNo12026-05-04FalseFalsePro & Farm900,000$0$0$No---------900,000$900,000$----------------Lien
Victor AntipinGulls (Ana)D331992-12-06KAZNo171 Lbs5 ft10NoNoTrade2025-05-13NoNo12024-07-12FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Vinnie HinostrozaGulls (Ana)LW/RW321994-04-03USANo183 Lbs5 ft10NoNoFree AgentNoNo12024-07-10FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien
Vitaly AbramovGulls (Ana)LW/RW281998-05-08RUSNo187 Lbs5 ft10NoNoN/ANoNo22025-05-28FalseFalsePro & Farm1,200,000$0$0$No1,200,000$--------1,200,000$--------No--------Lien
Wiley ShermanGulls (Ana)D311995-05-24USANo200 Lbs6 ft6NoNoN/ANoNo12024-04-29FalseFalsePro & Farm1,200,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3029.53196 Lbs6 ft11.871,173,333$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kalle KossilaOskar BackJoseph Labate25122
2Vinnie HinostrozaTyson KozakJoona Luoto25122
3Linus KarlssonBrett LeasonMarc Gatcomb25122
4Vitaly AbramovMikhail GrigorenkoAdam Ruzicka25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Conor TimminsAdam Boqvist25122
2Noah JuulsenMarkus Niemelainen25122
3Victor AntipinWiley Sherman25122
4Conor TimminsAdam Boqvist25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kalle KossilaOskar BackJoseph Labate50122
2Vinnie HinostrozaTyson KozakJoona Luoto50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Conor TimminsAdam Boqvist50122
2Noah JuulsenMarkus Niemelainen50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Mikhail GrigorenkoMarc Gatcomb50122
2Adam RuzickaVitaly Abramov50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wiley ShermanVictor Antipin50122
2Noah JuulsenMarkus Niemelainen50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mikhail Grigorenko50122Wiley ShermanVictor Antipin50122
2Brett Leason50122Noah JuulsenMarkus Niemelainen50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Oskar BackKalle Kossila50122
2Adam RuzickaVinnie Hinostroza50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Conor TimminsAdam Boqvist50122
2Noah JuulsenMarkus Niemelainen50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kalle KossilaOskar BackJoseph LabateConor TimminsAdam Boqvist
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Kalle KossilaOskar BackJoseph LabateConor TimminsAdam Boqvist
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Adam Ruzicka, Brett Leason, Tyson KozakAdam Ruzicka, Brett LeasonAdam Ruzicka
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Markus Niemelainen, Victor Antipin, Wiley ShermanMarkus NiemelainenMarkus Niemelainen, Victor Antipin
Tirs de pénalité
Kalle Kossila, Adam Boqvist, Oskar Back, Joseph Labate, Adam Ruzicka
Gardien
#1 : Spencer Martin, #2 : Oscar Dansk


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
1Checkers1010000012-1000000000001010000012-100.00012300136833013411111516319616300.00%30100.00%023241655.77%17033351.05%8117446.55%2771942527914270
2Condors1000000134-11000000134-10000000000010.500369001368340134111115161986154250.00%10100.00%023241655.77%17033351.05%8117446.55%2771942527914270
3Eagles1010000035-2000000000001010000035-200.000369101368337134111115163211813300.00%3166.67%023241655.77%17033351.05%8117446.55%2771942527914270
4Griffins10001000211100010002110000000000021.00024600136833513411111516336415200.00%20100.00%023241655.77%17033351.05%8117446.55%2771942527914270
5Monsters2010100079-21010000025-31000100054120.5007142100136837813411111516601510276233.33%5180.00%023241655.77%17033351.05%8117446.55%2771942527914270
6Reign11000000312000000000001100000031221.0003580013683191341111151626148242150.00%40100.00%023241655.77%17033351.05%8117446.55%2771942527914270
7Silver Knights1010000036-3000000000001010000036-300.0003580013683351341111151628114185120.00%2150.00%023241655.77%17033351.05%8117446.55%2771942527914270
8StarsF11000000321000000000001100000032121.00035800136833713411111516179420200.00%10100.00%023241655.77%17033351.05%8117446.55%2771942527914270
9Thunderbirds2010000148-41010000025-31000000123-110.25047110013683561341111151674156267114.29%30100.00%023241655.77%17033351.05%8117446.55%2771942527914270
Total1125020022938-940201001915-6723010012023-3100.455295483101368336713411111516320985617434720.59%24387.50%023241655.77%17033351.05%8117446.55%2771942527914270
_Since Last GM Reset1125020022938-940201001915-6723010012023-3100.455295483101368336713411111516320985617434720.59%24387.50%023241655.77%17033351.05%8117446.55%2771942527914270
_Vs Conference1024020022836-840201001915-6622010011921-2100.500285280101368333713411111516289895015831722.58%21385.71%023241655.77%17033351.05%8117446.55%2771942527914270

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1110OTW1295483367320985617410
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
112520022938
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4021001915
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
72310012023
Derniers 10 matchs
WLOTWOTL SOWSOL
242002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
34720.59%24387.50%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
1341111151613683
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
23241655.77%17033351.05%8117446.55%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2771942527914270


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
1 - 2025-08-2611Gulls1Checkers2LSommaire du match
3 - 2025-08-2828Gulls3Silver Knights6LSommaire du match
5 - 2025-08-3040Griffins1Gulls2WXSommaire du match
7 - 2025-09-0161Gulls3StarsF2WSommaire du match
8 - 2025-09-0267Thunderbirds5Gulls2LSommaire du match
10 - 2025-09-0482Gulls3Eagles5LSommaire du match
12 - 2025-09-0695Gulls3Reign1WSommaire du match
13 - 2025-09-07110Monsters5Gulls2LSommaire du match
16 - 2025-09-10129Gulls2Thunderbirds3LXXSommaire du match
18 - 2025-09-12139Condors4Gulls3LXXSommaire du match
19 - 2025-09-13153Gulls5Monsters4WXSommaire du match
22 - 2025-09-16171Reign-Gulls-
24 - 2025-09-18182Gulls-Iowa Wild-
26 - 2025-09-20202Iowa Wild-Gulls-
28 - 2025-09-22215Gulls-Silver Knights-
30 - 2025-09-24234Silver Knights-Gulls-
32 - 2025-09-26243Gulls-Moose-
35 - 2025-09-29266Canucks-Gulls-
37 - 2025-10-01276Gulls-Condors-
39 - 2025-10-03293Gulls-Wolves-
40 - 2025-10-04302Checkers-Gulls-
45 - 2025-10-09330Condors-Gulls-
48 - 2025-10-12356Canucks-Gulls-
51 - 2025-10-15377Gulls-Iowa Wild-
52 - 2025-10-16388Griffins-Gulls-
55 - 2025-10-19412Phantoms-Gulls-
58 - 2025-10-22429Gulls-Comets-
60 - 2025-10-24443Gulls-BruinsF-
61 - 2025-10-25453Firebirds-Gulls-
64 - 2025-10-28472Gulls-Checkers-
65 - 2025-10-29485StarsF-Gulls-
68 - 2025-11-01507Rocket-Gulls-
70 - 2025-11-03523Gulls-Wranglers-
72 - 2025-11-05538Gulls-Roadrunners-
74 - 2025-11-07548PenguinsF-Gulls-
76 - 2025-11-09569Gulls-Reign-
77 - 2025-11-10579Marlies-Gulls-
80 - 2025-11-13597Gulls-Eagles-
81 - 2025-11-14609Islanders-Gulls-
84 - 2025-11-17625Gulls-Silver Knights-
86 - 2025-11-19641Admirals-Gulls-
88 - 2025-11-21658Gulls-Monsters-
91 - 2025-11-24674Barracuda-Gulls-
93 - 2025-11-26692Gulls-Roadrunners-
95 - 2025-11-28707Gulls-Barracuda-
96 - 2025-11-29713Americans-Gulls-
99 - 2025-12-02733Gulls-Bears-
100 - 2025-12-03743Silver Knights-Gulls-
103 - 2025-12-06761Gulls-Reign-
105 - 2025-12-08776Reign-Gulls-
108 - 2025-12-11797Gulls-Icehogs-
109 - 2025-12-12805StarsF-Gulls-
112 - 2025-12-15831Gulls-Icehogs-
114 - 2025-12-17840Thunderbirds-Gulls-
117 - 2025-12-20865Crunch-Gulls-
118 - 2025-12-21875Gulls-Griffins-
121 - 2025-12-24895Gulls-Barracuda-
122 - 2025-12-25903Monsters-Gulls-
125 - 2025-12-28928Griffins-Gulls-
127 - 2025-12-30936Gulls-Condors-
129 - 2026-01-01950Gulls-Moose-
131 - 2026-01-03970Admirals-Gulls-
134 - 2026-01-06991Gulls-Phantoms-
136 - 2026-01-081004Barracuda-Gulls-
138 - 2026-01-101025Icehogs-Gulls-
139 - 2026-01-111026Gulls-Wranglers-
143 - 2026-01-151059SenatorsF-Gulls-
145 - 2026-01-171072Gulls-Thunderbirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2026-01-201092Iowa Wild-Gulls-
151 - 2026-01-231116Wranglers-Gulls-
152 - 2026-01-241124Gulls-Admirals-
156 - 2026-01-281147Icehogs-Gulls-
158 - 2026-01-301164Gulls-Canucks-
160 - 2026-02-011181Eagles-Gulls-
162 - 2026-02-031195Gulls-Canucks-
165 - 2026-02-061212Bears-Gulls-
170 - 2026-02-111241Wranglers-Gulls-
171 - 2026-02-121250Gulls-Wolf Pack-
174 - 2026-02-151276Roadrunners-Gulls-
176 - 2026-02-171284Gulls-Griffins-
178 - 2026-02-191304Eagles-Gulls-
179 - 2026-02-201311Gulls-Admirals-
181 - 2026-02-221322Gulls-StarsF-
182 - 2026-02-231335Roadrunners-Gulls-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance8,0004,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 3000 - 100.00% 178,800$715,200$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
367,286$ 3,520,000$ 3,520,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 356,950$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,794,400$ 165 19,674$ 3,246,210$




Gulls Leaders statistiques des joueurs (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

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

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

Gulls Leaders statistiques des joueurs (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

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