Essayer le nouveau site
Please rotate your device to landscape mode for a better experience.
Connexion

Gulls
GP: 10 | W: 3 | L: 5 | OTL: 2 | P: 8
GF: 24 | GA: 34 | PP%: 17.24% | PK%: 91.30%
DG: Tommy Rhéaume | Morale : 44 | Moyenne d’équipe : 65
Prochains matchs #153 vs Monsters

Centre de jeu
Gulls
3-5-2, 8pts
2
3 Thunderbirds
5-4-1, 11pts
Team Stats
SOL2SéquenceL1
1-2-1Fiche domicile3-1-1
2-3-1Fiche domicile2-3-0
3-5-2Derniers 10 matchs5-4-1
2.40Buts par match 3.30
3.40Buts contre par match 3.60
17.24%Pourcentage en avantage numérique16.00%
91.30%Pourcentage en désavantage numérique70.73%
Condors
6-3-0, 12pts
4
3 Gulls
3-5-2, 8pts
Team Stats
SOW1SéquenceSOL2
1-3-0Fiche domicile1-2-1
5-0-0Fiche domicile2-3-1
6-3-0Derniers 10 matchs3-5-2
3.56Buts par match 2.40
2.56Buts contre par match 3.40
28.13%Pourcentage en avantage numérique17.24%
74.07%Pourcentage en désavantage numérique91.30%
Gulls
3-5-2, 8pts
2025-09-12
Monsters
7-1-0, 14pts
Statistiques d’équipe
SOL2SéquenceW6
1-2-1Fiche domicile4-1-0
2-3-1Fiche visiteur3-0-0
3-5-210 derniers matchs7-1-0
2.40Buts par match 3.75
3.40Buts contre par match 3.75
17.24%Pourcentage en avantage numérique29.03%
91.30%Pourcentage en désavantage numérique88.24%
Reign
3-2-4, 10pts
2025-09-15
Gulls
3-5-2, 8pts
Statistiques d’équipe
W1SéquenceSOL2
0-2-3Fiche domicile1-2-1
3-0-1Fiche visiteur2-3-1
3-2-410 derniers matchs3-5-2
3.56Buts par match 2.40
4.00Buts contre par match 2.40
23.33%Pourcentage en avantage numérique17.24%
62.96%Pourcentage en désavantage numérique91.30%
Gulls
3-5-2, 8pts
2025-09-17
Iowa Wild
3-3-2, 8pts
Statistiques d’équipe
SOL2SéquenceL3
1-2-1Fiche domicile2-3-1
2-3-1Fiche visiteur1-0-1
3-5-210 derniers matchs3-3-2
2.40Buts par match 2.88
3.40Buts contre par match 2.88
17.24%Pourcentage en avantage numérique17.39%
91.30%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Buts
Vitaly Abramov
5
Passes
Conor Timmins
5
Points
Conor Timmins
6
Plus/Moins
Mikhail Grigorenko
3
Victoires
Spencer Martin
2
Pourcentage d’arrêts
Oscar Dansk
0.918

Statistiques d’équipe
Buts pour
24
2.40 GFG
Tirs pour
327
32.70 Avg
Pourcentage en avantage numérique
17.2%
5 GF
Début de zone offensive
44.7%
Buts contre
34
3.40 GAA
Tirs contre
291
29.10 Avg
Pourcentage en désavantage numérique
91.3%%
2 GA
Début de la zone défensive
36.3%
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)0X100.006346937572749075817368756458535847670262900,000$
2Kalle Kossila0XX100.0057449971697477736571727865765942476703311,200,000$
3Vinnie Hinostroza0XX100.0063459173697778706571686963796646536703211,500,000$
4Adam Ruzicka0X100.0064469172737383707073706771645158476602731,300,000$
5Joseph Labate0XX100.0099459972777066726865657863484530476603331,400,000$
6Brett Leason0X100.0072459974777279726766667064685554476602731,300,000$
7Tyson Kozak (R)0X100.007545958168728072736865765950457047660231900,000$
8Mikhail Grigorenko0X100.0056439970737387688366657063915634476503222,000,000$
9Marc Gatcomb (R)0X100.007945917971708171506867726155456047650271900,000$
10Linus Karlsson0X100.006745917268727573637072727153505847650262900,000$
11Joona Luoto0XX100.0060479673757381716766677463715450476502811,700,000$
12Vitaly Abramov0XX100.0064468672677477737171707568625454476502821,200,000$
13Conor Timmins (A)0X99.0065459072717879754577697260645254476702721,350,000$
14Adam Boqvist (C)0X100.006345917469747774457572716973516647670262900,000$
15Noah Juulsen0X100.0059469375737880714567727260765558476702911,500,000$
16Markus Niemelainen0X100.0083458672727778704567647356625454476602821,500,000$
17Victor Antipin0X100.0057489672687283714574667263775542476603311,500,000$
18Wiley Sherman0X100.0077457971747769674561647357675550476503111,200,000$
Rayé
1Justin Bailey0XX100.0078607672737782656569686766695646416503111,200,000$
2Chase Pearson0XX100.0071468372707076667667667554655354406402921,200,000$
3Alexander Khovanov0X100.007263527268706869716767665447466240610262750,000$
4Leevi Aaltonen0XX100.006245857266707066606666676045457040610252750,000$
5Mikhail Abramov (R)0X100.005746847367646468716569686549517040610253750,000$
6Kevin Connauton44X100.0062459870737069704566677165755818406503631,200,000$
7Jerome Gauthier-Leduc0X100.0061458968716967684567637162695430406303421,000,000$
8Anton Lindholm0X100.0059459771706974684566627062584938406303121,000,000$
MOYENNE D’ÉQUIPE99.96674790737173777060696772636453514565
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 Martin0100.008487818078788077777788677650446703111,500,000$
2Oscar Dansk0100.007986848080748278798277515634446403221,000,000$
Rayé
1Benjamin Conz37100.00777472747875817779808345502645620343800,000$
2Olivier Roy0100.00787877757973797777787845503045620352900,000$
MOYENNE D’ÉQUIPE100.0080817977797581777879825258354564
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)D10156-64098144117.14%1623023.0411262300007000%000000.5200000100
2Tyson KozakGulls (Ana)C10246-3201414261177.69%314814.88112624000000047.59%18700000.8100000001
3Vitaly AbramovGulls (Ana)LW/RW1051626012103591614.29%314014.05000000002180050.00%1000000.8500000002
4Markus NiemelainenGulls (Ana)D10055-210016615290%1420520.55022825000020000%000000.4900000000
5Mikhail GrigorenkoGulls (Ana)C103253202262221513.64%114614.69000000002201157.75%21300000.6800000100
6Joona LuotoGulls (Ana)LW/RW10235-20054272177.41%115115.110111024000000055.56%900000.6600000010
7Noah JuulsenGulls (Ana)D10325-30019161818.75%1620320.37213725000022000%000000.4900000100
8Oskar BackGulls (Ana)C10134-600317277253.70%015515.56022725000000051.89%21200000.5112000000
9Wiley ShermanGulls (Ana)D10224-312024892522.22%1017317.3900012000217100%000000.4600000000
10Kalle KossilaGulls (Ana)LW/RW10134-60002328293.13%115515.56000725000001066.67%900000.5102000000
11Joseph LabateGulls (Ana)LW/RW10303-74027122092215.00%215715.77101225000010257.14%700000.3801000010
12Adam BoqvistGulls (Ana)D10033-68091495130%1021921.9800032200001000%000000.2702000000
13Adam RuzickaGulls (Ana)C100221207420580%015415.46000010000210048.28%5800000.2601000000
14Brett LeasonGulls (Ana)C10022-40041271110%012912.9600001000020040.60%13300000.3100000000
15Marc GatcombGulls (Ana)RW10022-400151115490%314714.77000010000220050.00%600000.2700000000
16Victor AntipinGulls (Ana)D10022-320366430%917817.8200022000020000%000000.2200000000
17Vinnie HinostrozaDucksLW/RW6022-20020103100%09515.92000316000000042.86%700000.4200000000
18Justin BaileyGulls (Ana)LW/RW4011-200942230%06416.0301107000020060.00%500000.3100000000
19Linus KarlssonGulls (Ana)C10101-42007152166.67%312412.4100000000000050.00%600000.1601000010
Statistiques d’équipe totales ou en moyenne180244468-57540162174327732477.34%92298316.5759146225600061763350.58%86200000.4619000333
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)82410.8803.3241600231920010.667373010
2Oscar DanskGulls (Ana)41110.9182.46195008980000.667637020
Statistiques d’équipe totales ou en moyenne123520.8933.04611003129000191010030


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)G341991-09-13SUINo198 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 HinostrozaDucksLW/RW321994-04-03USANo183 Lbs5 ft10NoNoFree AgentNoNo12024-07-10FalseFalsePro & Farm1,500,000$1,500,000$1,353,261$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
3029.50196 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, #3 : 0


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
1Checkers1010000012-1000000000001010000012-100.00012300106723011410310613319616300.00%30100.00%021037855.56%15530750.49%7116144.10%2511752307212963
2Condors1000000134-11000000134-10000000000010.500369001067240114103106131986154250.00%10100.00%021037855.56%15530750.49%7116144.10%2511752307212963
3Eagles1010000035-2000000000001010000035-200.000369101067237114103106133211813300.00%3166.67%021037855.56%15530750.49%7116144.10%2511752307212963
4Griffins10001000211100010002110000000000021.00024600106723511410310613336415200.00%20100.00%021037855.56%15530750.49%7116144.10%2511752307212963
5Monsters1010000025-31010000025-30000000000000.00024600106723811410310613319815100.00%40100.00%021037855.56%15530750.49%7116144.10%2511752307212963
6Reign11000000312000000000001100000031221.0003580010672191141031061326148242150.00%40100.00%021037855.56%15530750.49%7116144.10%2511752307212963
7Silver Knights1010000036-3000000000001010000036-300.0003580010672351141031061328114185120.00%2150.00%021037855.56%15530750.49%7116144.10%2511752307212963
8StarsF11000000321000000000001100000032121.00035800106723711410310613179420200.00%10100.00%021037855.56%15530750.49%7116144.10%2511752307212963
9Thunderbirds2010000148-41010000025-31000000123-110.25047110010672561141031061374156267114.29%30100.00%021037855.56%15530750.49%7116144.10%2511752307212963
Total1025010022434-1040201001915-6623000011519-480.400244468101067232711410310613291925416229517.24%23291.30%021037855.56%15530750.49%7116144.10%2511752307212963
_Since Last GM Reset1025010022434-1040201001915-6623000011519-480.400244468101067232711410310613291925416229517.24%23291.30%021037855.56%15530750.49%7116144.10%2511752307212963
_Vs Conference924010022332-940201001915-6522000011417-380.444234265101067229711410310613260834814626519.23%20290.00%021037855.56%15530750.49%7116144.10%2511752307212963

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
108SOL2244468327291925416210
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
102510022434
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4021001915
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
62300011519
Derniers 10 matchs
WLOTWOTL SOWSOL
251002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
29517.24%23291.30%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
1141031061310672
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
21037855.56%15530750.49%7116144.10%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2511752307212963


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 - 2025-08-2511Gulls1Checkers2LSommaire du match
3 - 2025-08-2728Gulls3Silver Knights6LSommaire du match
5 - 2025-08-2940Griffins1Gulls2WXSommaire du match
7 - 2025-08-3161Gulls3StarsF2WSommaire du match
8 - 2025-09-0167Thunderbirds5Gulls2LSommaire du match
10 - 2025-09-0382Gulls3Eagles5LSommaire du match
12 - 2025-09-0595Gulls3Reign1WSommaire du match
13 - 2025-09-06110Monsters5Gulls2LSommaire du match
16 - 2025-09-09129Gulls2Thunderbirds3LXXSommaire du match
18 - 2025-09-11139Condors4Gulls3LXXSommaire du match
19 - 2025-09-12153Gulls-Monsters-
22 - 2025-09-15171Reign-Gulls-
24 - 2025-09-17182Gulls-Iowa Wild-
26 - 2025-09-19202Iowa Wild-Gulls-
28 - 2025-09-21215Gulls-Silver Knights-
30 - 2025-09-23234Silver Knights-Gulls-
32 - 2025-09-25243Gulls-Moose-
35 - 2025-09-28266Canucks-Gulls-
37 - 2025-09-30276Gulls-Condors-
39 - 2025-10-02293Gulls-Wolves-
40 - 2025-10-03302Checkers-Gulls-
45 - 2025-10-08330Condors-Gulls-
48 - 2025-10-11356Canucks-Gulls-
51 - 2025-10-14377Gulls-Iowa Wild-
52 - 2025-10-15388Griffins-Gulls-
55 - 2025-10-18412Phantoms-Gulls-
58 - 2025-10-21429Gulls-Comets-
60 - 2025-10-23443Gulls-BruinsF-
61 - 2025-10-24453Firebirds-Gulls-
64 - 2025-10-27472Gulls-Checkers-
65 - 2025-10-28485StarsF-Gulls-
68 - 2025-10-31507Rocket-Gulls-
70 - 2025-11-02523Gulls-Wranglers-
72 - 2025-11-04538Gulls-Roadrunners-
74 - 2025-11-06548PenguinsF-Gulls-
76 - 2025-11-08569Gulls-Reign-
77 - 2025-11-09579Marlies-Gulls-
80 - 2025-11-12597Gulls-Eagles-
81 - 2025-11-13609Islanders-Gulls-
84 - 2025-11-16625Gulls-Silver Knights-
86 - 2025-11-18641Admirals-Gulls-
88 - 2025-11-20658Gulls-Monsters-
91 - 2025-11-23674Barracuda-Gulls-
93 - 2025-11-25692Gulls-Roadrunners-
95 - 2025-11-27707Gulls-Barracuda-
96 - 2025-11-28713Americans-Gulls-
99 - 2025-12-01733Gulls-Bears-
100 - 2025-12-02743Silver Knights-Gulls-
103 - 2025-12-05761Gulls-Reign-
105 - 2025-12-07776Reign-Gulls-
108 - 2025-12-10797Gulls-Icehogs-
109 - 2025-12-11805StarsF-Gulls-
112 - 2025-12-14831Gulls-Icehogs-
114 - 2025-12-16840Thunderbirds-Gulls-
117 - 2025-12-19865Crunch-Gulls-
118 - 2025-12-20875Gulls-Griffins-
121 - 2025-12-23895Gulls-Barracuda-
122 - 2025-12-24903Monsters-Gulls-
125 - 2025-12-27928Griffins-Gulls-
127 - 2025-12-29936Gulls-Condors-
129 - 2025-12-31950Gulls-Moose-
131 - 2026-01-02970Admirals-Gulls-
134 - 2026-01-05991Gulls-Phantoms-
136 - 2026-01-071004Barracuda-Gulls-
138 - 2026-01-091025Icehogs-Gulls-
139 - 2026-01-101026Gulls-Wranglers-
143 - 2026-01-141059SenatorsF-Gulls-
145 - 2026-01-161072Gulls-Thunderbirds-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
148 - 2026-01-191092Iowa Wild-Gulls-
151 - 2026-01-221116Wranglers-Gulls-
152 - 2026-01-231124Gulls-Admirals-
156 - 2026-01-271147Icehogs-Gulls-
158 - 2026-01-291164Gulls-Canucks-
160 - 2026-01-311181Eagles-Gulls-
162 - 2026-02-021195Gulls-Canucks-
165 - 2026-02-051212Bears-Gulls-
170 - 2026-02-101241Wranglers-Gulls-
171 - 2026-02-111250Gulls-Wolf Pack-
174 - 2026-02-141276Roadrunners-Gulls-
176 - 2026-02-161284Gulls-Griffins-
178 - 2026-02-181304Eagles-Gulls-
179 - 2026-02-191311Gulls-Admirals-
181 - 2026-02-211322Gulls-StarsF-
182 - 2026-02-221335Roadrunners-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
347,612$ 3,370,000$ 3,370,000$ 100,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 337,820$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
6,794,400$ 166 18,859$ 3,130,594$




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