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Gulls
GP: 29 | W: 15 | L: 10 | OTL: 4 | P: 34
GF: 112 | GA: 101 | PP%: 28.92% | PK%: 73.68%
DG: Tommy Rhéaume | Morale : 51 | Moyenne d’équipe : 65
Prochains matchs #472 vs Checkers

Centre de jeu
Gulls
15-10-4, 34pts
6
7 BruinsF
17-11-1, 35pts
Team Stats
SOW1SéquenceW1
8-4-2Fiche domicile11-3-0
7-6-2Fiche domicile6-8-1
6-2-2Derniers 10 matchs8-2-0
3.86Buts par match 3.28
3.48Buts contre par match 3.03
28.92%Pourcentage en avantage numérique23.19%
73.68%Pourcentage en désavantage numérique77.78%
Firebirds
14-13-1, 29pts
2
3 Gulls
15-10-4, 34pts
Team Stats
SOL1SéquenceSOW1
9-5-0Fiche domicile8-4-2
5-8-1Fiche domicile7-6-2
7-2-1Derniers 10 matchs6-2-2
3.04Buts par match 3.86
3.18Buts contre par match 3.48
15.49%Pourcentage en avantage numérique28.92%
79.55%Pourcentage en désavantage numérique73.68%
Gulls
15-10-4, 34pts
2025-10-30
Checkers
18-7-3, 39pts
Statistiques d’équipe
SOW1SéquenceW2
8-4-2Fiche domicile10-3-1
7-6-2Fiche visiteur8-4-2
6-2-210 derniers matchs7-2-1
3.86Buts par match 3.71
3.48Buts contre par match 3.71
28.92%Pourcentage en avantage numérique20.51%
73.68%Pourcentage en désavantage numérique90.54%
StarsF
17-11-2, 36pts
2025-10-31
Gulls
15-10-4, 34pts
Statistiques d’équipe
W2SéquenceSOW1
8-7-0Fiche domicile8-4-2
9-4-2Fiche visiteur7-6-2
5-4-110 derniers matchs6-2-2
3.63Buts par match 3.86
2.77Buts contre par match 3.86
26.83%Pourcentage en avantage numérique28.92%
81.72%Pourcentage en désavantage numérique73.68%
Rocket
15-14-1, 31pts
2025-11-03
Gulls
15-10-4, 34pts
Statistiques d’équipe
L1SéquenceSOW1
6-8-0Fiche domicile8-4-2
9-6-1Fiche visiteur7-6-2
5-5-010 derniers matchs6-2-2
3.30Buts par match 3.86
3.33Buts contre par match 3.86
21.52%Pourcentage en avantage numérique28.92%
77.55%Pourcentage en désavantage numérique73.68%
Meneurs d'équipe
Buts
Joseph Labate
12
Passes
Conor Timmins
22
Points
Conor Timmins
27
Plus/Moins
Conor Timmins
8
Victoires
Spencer Martin
9
Pourcentage d’arrêts
Oscar Dansk
0.906

Statistiques d’équipe
Buts pour
112
3.86 GFG
Tirs pour
942
32.48 Avg
Pourcentage en avantage numérique
28.9%
24 GF
Début de zone offensive
41.5%
Buts contre
101
3.48 GAA
Tirs contre
857
29.55 Avg
Pourcentage en désavantage numérique
73.7%%
20 GA
Début de la zone défensive
37.9%
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 Pro31
Équipe Mineure18
Limite Contrat49 / 56
Espoirs30


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)0X100.006346937572749075817368756458535858670262900,000$
2Kalle Kossila0XX100.0057449971697477736571727865765942586703311,200,000$
3Vinnie Hinostroza0XX100.0063459173697778706571686963796646646703211,500,000$
4Adam Ruzicka0X100.0064469172737383707073706771645158586602731,300,000$
5Joseph Labate0XX100.0099459972777066726865657863484530586603331,400,000$
6Brett Leason0X100.0072459974777279726766667064685554586602731,300,000$
7Tyson Kozak (R)0X100.007545958168728072736865765950457058660231900,000$
8Justin Bailey0XX100.0078607672737782656569686766695646246503111,200,000$
9Marc Gatcomb (R)0X100.007945917971708171506867726155456058650271900,000$
10Linus Karlsson0X100.006745917268727573637072727153505858650262900,000$
11Joona Luoto0XX100.0060479673757381716766677463715450586502911,700,000$
12Vitaly Abramov0XX100.0064468672677477737171707568625454586502821,200,000$
13Conor Timmins (A)0X98.0065459072717879754577697260645254586702821,350,000$
14Adam Boqvist (C)0X100.006345917469747774457572716973516658670262900,000$
15Ethan Del mastro0X100.007045907273827574457270746849476635670232900,000$
16Noah Juulsen0X100.0059469375737880714567727260765558586702911,500,000$
17Markus Niemelainen0X100.0083458672727778704567647356625454586602821,500,000$
18Victor Antipin0X100.0057489672687283714574667263775542586603311,500,000$
Rayé
1Mikhail Grigorenko0X87.2356439970737387688366657063915634506503222,000,000$
2Chase Pearson0XX100.0071468372707076667667667554655354256402921,200,000$
3Alexander Khovanov0X100.007263527268706869716767665447466221610262750,000$
4Leevi Aaltonen0XX100.006245857266707066606666676045457021610252750,000$
5Mikhail Abramov (R)0X100.005746847367646468716569686549517021610253750,000$
6Kevin Connauton44X100.0062459870737069704566677165755818216503631,200,000$
7Wiley Sherman0X100.0077457971747769674561647357675550336503111,200,000$
8Jerome Gauthier-Leduc0X100.0061458968716967684567637162695430216303421,000,000$
9Anton Lindholm0X100.0059459771706974684566627062584938216303121,000,000$
MOYENNE D’ÉQUIPE99.44674790737173767060696772636452524565
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 Martin0100.008487818078788077777788677650606703111,500,000$
2Oscar Dansk097.007986848080748278798277515634606403221,000,000$
Rayé
1Benjamin Conz37100.00777472747875817779808345502636620353800,000$
2Olivier Roy0100.00787877757973797777787845503036620352900,000$
MOYENNE D’ÉQUIPE99.2580817977797581777879825258354864
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
1Conor TimminsGulls (Ana)D2952227816039184582211.11%3268123.502351961000023100%000000.7900000121
2Tyson KozakGulls (Ana)C2962026-222052447317488.22%743414.991671264000001050.09%53300001.2000000111
3Oskar BackGulls (Ana)C299152460074070196012.86%144015.1846101464000000052.84%56400011.0934000101
4Kalle KossilaGulls (Ana)LW/RW29716236000178824697.95%244015.182461464000002054.29%3500001.0415000111
5Joseph LabateGulls (Ana)LW/RW29121022680672366216018.18%245015.54235964000092242.86%3500000.9803000321
6Adam BoqvistGulls (Ana)D2961622-1280262630142920.00%2865322.53347136100003010%000000.6715000100
7Markus NiemelainenGulls (Ana)D2951621526049144082912.50%4360020.723582366000053100%000000.7000000101
8Marc GatcombGulls (Ana)RW2991120440382266143413.64%442514.67000020111560047.37%1900000.9400000132
9Joona LuotoGulls (Ana)LW/RW2971118-120111967154510.45%343615.031451864000000055.17%2900000.8300000110
10Noah JuulsenGulls (Ana)D293131678014173411318.82%4055219.052461366000061000%000000.5800000100
11Brett LeasonGulls (Ana)C29681430014364872712.50%338213.1910113000050047.72%41700000.7300000100
12Vinnie HinostrozaGulls (Ana)LW/RW2068142201265082712.00%130815.43224949000001041.94%3100010.9100000121
13Mikhail GrigorenkoGulls (Ana)C2549130404494033010.00%236214.49000000002451160.29%48600000.7200000101
14Vitaly AbramovGulls (Ana)LW/RW2993120140233074214412.16%641814.42000000002540041.67%3600000.5700000102
15Linus KarlssonGulls (Ana)C2947114601015419439.76%437813.05000000110130049.02%5100000.5802000011
16Adam RuzickaGulls (Ana)C296410180151458153010.34%545315.64011030002624049.33%22300000.4412000020
17Victor AntipinGulls (Ana)D292793407211912810.53%2253318.3900023101157000%000000.3400000000
18Wiley ShermanGulls (Ana)D13246-31202610104520.00%1122717.4700013000222100%000000.5300000000
19Ethan Del mastroGulls (Ana)D19055-7100181072120%2229715.6601104000027000%000000.3400000000
20Chase PearsonGulls (Ana)LW/RW5314-20074102930.00%07515.0311217000000042.86%700001.0600000001
21Justin BaileyGulls (Ana)LW/RW8022-1001866440%212415.5601107000030057.14%700000.3200000000
Statistiques d’équipe totales ou en moyenne52511120831938174045744194223866611.78%240867716.532445691496651231050114452.00%247300020.74621000161514
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)189620.8743.47102000594700020.55691712010
2Oscar DanskGulls (Ana)136420.9062.9174300363850000.615131217121
Statistiques d’équipe totales ou en moyenne31151040.8893.2317630095855002222929131


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)D281998-09-18CANNo202 Lbs6 ft2NoNoN/ANoNo22026-05-12FalseFalsePro & Farm1,350,000$0$0$No1,350,000$--------1,350,000$--------No--------Lien
Ethan Del mastroGulls (Ana)D232003-01-15CANNo210 Lbs6 ft4NoNoTrade2026-09-18NoNo22025-05-07FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------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/RW291997-09-26FINNo210 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 Grigorenko (sur la masse salariale)Gulls (Ana)C321994-05-16RUSNo200 Lbs6 ft3NoNoFree Agent2024-12-10NoNo22025-07-06FalseFalsePro & Farm2,000,000$0$0$Yes2,000,000$--------2,000,000$--------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
3129.39196 Lbs6 ft11.871,164,516$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Kalle KossilaOskar BackJoseph Labate25122
2Vinnie HinostrozaTyson KozakJoona Luoto25122
3Linus KarlssonBrett LeasonMarc Gatcomb25122
4Vitaly AbramovAdam RuzickaJustin Bailey25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan Del mastroAdam Boqvist25122
2Noah JuulsenConor Timmins25122
3Victor AntipinMarkus Niemelainen25122
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
1Linus KarlssonMarc Gatcomb50122
2Adam RuzickaVitaly Abramov50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ethan Del mastroVictor Antipin50122
2Noah JuulsenMarkus Niemelainen50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Linus Karlsson50122Ethan Del mastroVictor 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
1Ethan Del mastroAdam 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 LabateEthan Del mastroAdam 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, Ethan Del mastroMarkus 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
TotalDomicile Visiteur
# 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 RI
1BruinsF1000000167-1000000000001000000167-110.500612180046263782934128030636451510142150.00%5260.00%0551101154.50%47592251.52%26050151.90%720500665209381193
2Canucks2200000010372200000010370000000000041.000102030004626378613412803063660218276350.00%40100.00%0551101154.50%47592251.52%26050151.90%720500665209381193
3Checkers21100000660110000005411010000012-120.50061117004626378603412803063663191223600.00%6183.33%0551101154.50%47592251.52%26050151.90%720500665209381193
4Comets1010000023-1000000000001010000023-100.00024600462637825341280306362010620000%30100.00%0551101154.50%47592251.52%26050151.90%720500665209381193
5Condors31100001141312100000111831010000035-230.500142539104626378121341280306368122164412325.00%5260.00%0551101154.50%47592251.52%26050151.90%720500665209381193
6Eagles1010000035-2000000000001010000035-200.00036910462637837341280306363211813300.00%3166.67%0551101154.50%47592251.52%26050151.90%720500665209381193
7Firebirds10000010321100000103210000000000021.00034700462637830341280306363191024000%40100.00%0551101154.50%47592251.52%26050151.90%720500665209381193
8Griffins20101000440201010004400000000000020.50047110046263786434128030636571112284125.00%6183.33%0551101154.50%47592251.52%26050151.90%720500665209381193
9Iowa Wild3300000017981100000075222000000104661.00017335000462637893341280306361021924456350.00%10370.00%0551101154.50%47592251.52%26050151.90%720500665209381193
10Monsters2010100079-21010000025-31000100054120.500714210046263787834128030636601510276233.33%5180.00%0551101154.50%47592251.52%26050151.90%720500665209381193
11Moose11000000422000000000001100000042221.000481200462637837341280306361372156116.67%110.00%0551101154.50%47592251.52%26050151.90%720500665209381193
12Phantoms1000000156-11000000156-10000000000010.5005101500462637831341280306363310121922100.00%6433.33%1551101154.50%47592251.52%26050151.90%720500665209381193
13Reign211000006511010000034-11100000031220.500611170046263784234128030636611914375240.00%60100.00%0551101154.50%47592251.52%26050151.90%720500665209381193
14Silver Knights312000001315-21100000075220200000610-420.333132235004626378103341280306368622145112433.33%6433.33%0551101154.50%47592251.52%26050151.90%720500665209381193
15StarsF11000000321000000000001100000032121.0003580046263783734128030636179420200.00%10100.00%0551101154.50%47592251.52%26050151.90%720500665209381193
16Thunderbirds2010000148-41010000025-31000000123-110.2504711004626378563412803063674156267114.29%30100.00%0551101154.50%47592251.52%26050151.90%720500665209381193
17Wolves11000000523000000000001100000052321.000591400462637838341280306362234214125.00%20100.00%0551101154.50%47592251.52%26050151.90%720500665209381193
Total29121002014112101111464010125951815660100253503340.58611220832020462637894234128030636857237172454832428.92%762073.68%1551101154.50%47592251.52%26050151.90%720500665209381193
_Since Last GM Reset29121002014112101111464010125951815660100253503340.58611220832020462637894234128030636857237172454832428.92%762073.68%1551101154.50%47592251.52%26050151.90%720500665209381193
_Vs Conference219802002817381154010014639710440100135341240.5718115023120462637869234128030636630164116318631930.16%491275.51%0551101154.50%47592251.52%26050151.90%720500665209381193

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
2934SOW111220832094285723717245420
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
2912102014112101
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
146410125951
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
156610025350
Derniers 10 matchs
WLOTWOTL SOWSOL
520012
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
832428.92%762073.68%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
341280306364626378
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
551101154.50%47592251.52%26050151.90%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
720500665209381193


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 - 2025-08-2811Gulls1Checkers2LSommaire du match
3 - 2025-08-3028Gulls3Silver Knights6LSommaire du match
5 - 2025-09-0140Griffins1Gulls2WXSommaire du match
7 - 2025-09-0361Gulls3StarsF2WSommaire du match
8 - 2025-09-0467Thunderbirds5Gulls2LSommaire du match
10 - 2025-09-0682Gulls3Eagles5LSommaire du match
12 - 2025-09-0895Gulls3Reign1WSommaire du match
13 - 2025-09-09110Monsters5Gulls2LSommaire du match
16 - 2025-09-12129Gulls2Thunderbirds3LXXSommaire du match
18 - 2025-09-14139Condors4Gulls3LXXSommaire du match
19 - 2025-09-15153Gulls5Monsters4WXSommaire du match
22 - 2025-09-18171Reign4Gulls3LSommaire du match
24 - 2025-09-20182Gulls7Iowa Wild3WSommaire du match
26 - 2025-09-22202Iowa Wild5Gulls7WSommaire du match
28 - 2025-09-24215Gulls3Silver Knights4LSommaire du match
30 - 2025-09-26234Silver Knights5Gulls7WSommaire du match
32 - 2025-09-28243Gulls4Moose2WSommaire du match
35 - 2025-10-01266Canucks2Gulls5WSommaire du match
37 - 2025-10-03276Gulls3Condors5LSommaire du match
39 - 2025-10-05293Gulls5Wolves2WSommaire du match
40 - 2025-10-06302Checkers4Gulls5WSommaire du match
45 - 2025-10-11330Condors4Gulls8WSommaire du match
48 - 2025-10-14356Canucks1Gulls5WSommaire du match
51 - 2025-10-17377Gulls3Iowa Wild1WSommaire du match
52 - 2025-10-18388Griffins3Gulls2LSommaire du match
55 - 2025-10-21412Phantoms6Gulls5LXXSommaire du match
58 - 2025-10-24429Gulls2Comets3LSommaire du match
60 - 2025-10-26443Gulls6BruinsF7LXXSommaire du match
61 - 2025-10-27453Firebirds2Gulls3WXXSommaire du match
64 - 2025-10-30472Gulls-Checkers-
65 - 2025-10-31485StarsF-Gulls-
68 - 2025-11-03507Rocket-Gulls-
70 - 2025-11-05523Gulls-Wranglers-
72 - 2025-11-07538Gulls-Roadrunners-
74 - 2025-11-09548PenguinsF-Gulls-
76 - 2025-11-11569Gulls-Reign-
77 - 2025-11-12579Marlies-Gulls-
80 - 2025-11-15597Gulls-Eagles-
81 - 2025-11-16609Islanders-Gulls-
84 - 2025-11-19625Gulls-Silver Knights-
86 - 2025-11-21641Admirals-Gulls-
88 - 2025-11-23658Gulls-Monsters-
91 - 2025-11-26674Barracuda-Gulls-
93 - 2025-11-28692Gulls-Roadrunners-
95 - 2025-11-30707Gulls-Barracuda-
96 - 2025-12-01713Americans-Gulls-
99 - 2025-12-04733Gulls-Bears-
100 - 2025-12-05743Silver Knights-Gulls-
103 - 2025-12-08761Gulls-Reign-
105 - 2025-12-10776Reign-Gulls-
108 - 2025-12-13797Gulls-Icehogs-
109 - 2025-12-14805StarsF-Gulls-
112 - 2025-12-17831Gulls-Icehogs-
114 - 2025-12-19840Thunderbirds-Gulls-
117 - 2025-12-22865Crunch-Gulls-
118 - 2025-12-23875Gulls-Griffins-
121 - 2025-12-26895Gulls-Barracuda-
122 - 2025-12-27903Monsters-Gulls-
125 - 2025-12-30928Griffins-Gulls-
127 - 2026-01-01936Gulls-Condors-
129 - 2026-01-03950Gulls-Moose-
131 - 2026-01-05970Admirals-Gulls-
134 - 2026-01-08991Gulls-Phantoms-
136 - 2026-01-101004Barracuda-Gulls-
138 - 2026-01-121025Icehogs-Gulls-
139 - 2026-01-131026Gulls-Wranglers-
143 - 2026-01-171059SenatorsF-Gulls-
145 - 2026-01-191072Gulls-Thunderbirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2026-01-221092Iowa Wild-Gulls-
151 - 2026-01-251116Wranglers-Gulls-
152 - 2026-01-261124Gulls-Admirals-
156 - 2026-01-301147Icehogs-Gulls-
158 - 2026-02-011164Gulls-Canucks-
160 - 2026-02-031181Eagles-Gulls-
162 - 2026-02-051195Gulls-Canucks-
165 - 2026-02-081212Bears-Gulls-
170 - 2026-02-131241Wranglers-Gulls-
171 - 2026-02-141250Gulls-Wolf Pack-
174 - 2026-02-171276Roadrunners-Gulls-
176 - 2026-02-191284Gulls-Griffins-
178 - 2026-02-211304Eagles-Gulls-
179 - 2026-02-221311Gulls-Admirals-
181 - 2026-02-241322Gulls-StarsF-
182 - 2026-02-251335Roadrunners-Gulls-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4530
Assistance28,00014,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
28 3000 - 100.00% 178,800$2,503,200$3000125

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,210,113$ 3,410,000$ 3,410,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,176,411$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,006,400$ 122 19,076$ 2,327,272$




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