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Gulls
GP: 34 | W: 16 | L: 15 | OTL: 3 | P: 35
GF: 97 | GA: 110 | PP%: 17.31% | PK%: 76.42%
DG: Tommy Rhéaume | Morale : 57 | Moyenne d’équipe : 64
Prochains matchs #566 vs Griffins
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Centre de jeu
Gulls
16-15-3, 35pts
2
FINAL
3 Admirals
18-13-5, 41pts
Team Stats
W1SéquenceW3
11-4-3Fiche domicile10-4-4
5-11-0Fiche domicile8-9-1
6-4-0Derniers 10 matchs5-3-2
2.85Buts par match 3.36
3.24Buts contre par match 3.42
17.31%Pourcentage en avantage numérique20.91%
76.42%Pourcentage en désavantage numérique81.48%
Griffins
24-8-3, 51pts
1
FINAL
6 Gulls
16-15-3, 35pts
Team Stats
L1SéquenceW1
13-2-2Fiche domicile11-4-3
11-6-1Fiche domicile5-11-0
6-4-0Derniers 10 matchs6-4-0
3.23Buts par match 2.85
2.77Buts contre par match 3.24
19.81%Pourcentage en avantage numérique17.31%
73.53%Pourcentage en désavantage numérique76.42%
Gulls
16-15-3, 35pts
2024-11-21
Griffins
24-8-3, 51pts
Statistiques d’équipe
W1SéquenceL1
11-4-3Fiche domicile13-2-2
5-11-0Fiche visiteur11-6-1
6-4-010 derniers matchs6-4-0
2.85Buts par match 3.23
3.24Buts contre par match 3.23
17.31%Pourcentage en avantage numérique19.81%
76.42%Pourcentage en désavantage numérique73.53%
Iowa Wild
19-10-7, 45pts
2024-11-22
Gulls
16-15-3, 35pts
Statistiques d’équipe
SOW1SéquenceW1
9-5-3Fiche domicile11-4-3
10-5-4Fiche visiteur5-11-0
7-1-210 derniers matchs6-4-0
3.69Buts par match 2.85
3.14Buts contre par match 2.85
21.30%Pourcentage en avantage numérique17.31%
85.59%Pourcentage en désavantage numérique76.42%
Eagles
25-9-1, 51pts
2024-11-26
Gulls
16-15-3, 35pts
Statistiques d’équipe
W8SéquenceW1
14-4-0Fiche domicile11-4-3
11-5-1Fiche visiteur5-11-0
9-1-010 derniers matchs6-4-0
3.74Buts par match 2.85
2.63Buts contre par match 2.85
22.31%Pourcentage en avantage numérique17.31%
77.08%Pourcentage en désavantage numérique76.42%
Meneurs d'équipe
Buts
Brad Malone
10
Passes
Conor Timmins
18
Points
Conor Timmins
25
Plus/Moins
Nils Hoglander
10
Victoires
Linus Soderstrom
13
Pourcentage d’arrêts
Zane McIntyre
0.888

Statistiques d’équipe
Buts pour
97
2.85 GFG
Tirs pour
1012
29.76 Avg
Pourcentage en avantage numérique
17.3%
18 GF
Début de zone offensive
40.2%
Buts contre
110
3.24 GAA
Tirs contre
967
28.44 Avg
Pourcentage en désavantage numérique
76.4%%
25 GA
Début de la zone défensive
40.6%
Informations de l'équipe

Directeur généralTommy Rhéaume
EntraîneurDave Lowry
DivisionDivision Pacifique
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,510
Billets de saison300


Informations de la formation

Équipe Pro32
Équipe Mineure18
Limite contact 50 / 56
Espoirs28


Historique d'équipe

Saison actuelle16-15-3 (35PTS)
Historique58-50-5 (0.513%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)0-0
Coupe Stanley0


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
1Nils Hoglander (R)XX100.006945827867749075607175706965507062670233900,000$
2Arttu RuotsalainenX100.0067458974698074747073697368574864616602721,500,000$
3Adam RuzickaX100.006445917273748172707672697153466063660252900,000$
4Kevin RooneyX100.0073489473727680727067697667645050536603132,000,000$
5Eric CornelXXX100.0057459172707476737566737660575156556502821,200,000$
6Nikolai ProkhorkinXX100.0078536868737178706666686762706348636503121,200,000$
7Vinnie HinostrozaXX100.0065459073697374716171687166686053566503031,500,000$
8Justin BaileyXX100.0076587572737478656270676769585054556402931,200,000$
9Vitaly AbramovXX100.006545837267737473687269736851476059640261750,000$
10Chase PearsonXX100.007045857270667367726766775454476050630271750,000$
11Damien BrunnerXX100.0055459768667471656667656666615421496203811,000,000$
12Daniel Muzito-BagendaXX100.006145867273747664706163646060496128610282900,000$
13Ty Emberson (R)X100.007645917870807474457466766045457056670243900,000$
14Jordan OesterleX100.0066459273707675714569657563685350516603232,000,000$
15Markus NiemelainenX100.008145887272737470456763745651476058650261900,000$
16Noah JuulsenX100.0061459075737476704564717160654964486502731,500,000$
17John Ludvig (R)X100.007365767472697571456669746345457060640241900,000$
18Wiley ShermanX100.0074467971747470674562647257585055316402931,200,000$
Rayé
1Brad MaloneXX94.7380468869747269716868727271665234456603511,700,000$
2Zack MitchellXX100.005240936770626368646567664558554820610311800,000$
3Conner BleackleyXX100.006345807269687664646367675858485420610282800,000$
4Zach GallantX100.007855577374676967716263706050476649610253800,000$
5Marc-Olivier RoyXX100.006143847271676462766158635861525220600302800,000$
6Shane EisermanXX100.006745807271615257615958635350455520580292500,000$
7Evan AllenX100.006043887170666461696056625851465019580292500,000$
8Conor TimminsX86.336545907271747574457867716253466052660262900,000$
9Eric GelinasX100.0059449370747068704568657162645444206403311,250,000$
10Ludwig BystromX100.006445917368706367456561705946455622620301900,000$
11Alex CoulombeX100.006041796771676660456060644555555622590292700,000$
MOYENNE D’ÉQUIPE99.31674685727171726860676670615750554463
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
1Linus Soderstrom100.008490778081788478787878506163566502831,500,000$
2Zane McIntyre100.007770697976798581808376475150676403221,000,000$
Rayé
1Edward Pasquale100.00757472817974787878787345524633620341900,000$
MOYENNE D’ÉQUIPE100.0079787380797782797980764755535264
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Lowry53635960534857CAN605100,000$


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)D32718250140313152183813.46%2970822.14336268800008100%000000.7100000201
2Eric CornelGulls (Ana)C/LW/RW34101525900163693276910.75%553715.8216718890000112148.49%59600000.9312000022
3Jordan OesterleGulls (Ana)D34518234200131948143310.42%2575422.203361878000075110%000000.6100000111
4Nils HoglanderGulls (Ana)LW/RW31814221010041259632708.33%846615.042241979000000163.64%3300000.9400000111
5Brad MaloneGulls (Ana)LW/RW30109199120351557273517.54%240013.350331041000022152.63%3800000.9500000123
6Ty EmbersonGulls (Ana)D3341418-2200362637182510.81%3367520.482352391000036020%000000.5313000300
7Kevin RooneyGulls (Ana)C3461117-511537317524528.00%860217.7314522860002840048.72%39000000.5602010301
8Vinnie HinostrozaGulls (Ana)LW/RW347916-7100202370214610.00%250414.841121788000001043.75%3200000.6300000022
9Phillip DigiuseppeDucksLW/RW277815-900101745194915.56%245716.931231265000000251.72%2900000.6600000101
10Arttu RuotsalainenGulls (Ana)C27771428012217213359.72%644016.3112318770000141048.30%49900000.6401000011
11Adam RuzickaGulls (Ana)C325813-44025556920297.25%746614.570221560000070052.42%49600000.5601000030
12John LudvigGulls (Ana)D3221113-122060292612187.69%3555717.411121018000166100%000000.4700000101
13Nikolai ProkhorkinGulls (Ana)LW/RW345611018049185817508.62%651415.13101280003751035.29%3400000.4300000020
14Vitaly AbramovGulls (Ana)LW/RW34381104018295021406.00%642412.4700016000000066.67%3000000.5213000110
15Justin BaileyGulls (Ana)LW/RW34459-321541184613358.70%451015.03000060003800140.63%3200000.3500001001
16Chase PearsonGulls (Ana)LW/RW29459-880174636143111.11%641814.42112120000603147.85%48900000.4300000021
17Markus NiemelainenGulls (Ana)D34178-22805119308313.33%3364619.02112947000075000%000000.2500000100
18Noah JuulsenGulls (Ana)D31178-11008273110223.23%3060219.44000839000077010%000000.2700000001
19Damien BrunnerGulls (Ana)LW/RW21314-13000531989.68%526012.3800000000000166.67%1200000.3100000000
20Daniel Muzito-BagendaGulls (Ana)LW/RW8033-300478470%111514.46000000001120045.71%3500000.5200000000
21Zach GallantGulls (Ana)C24303-7235421825112712.00%329612.3700011000001055.45%10100000.2000001100
22Wiley ShermanGulls (Ana)D7011-1201032220%412517.950000000009000%000000.1600000000
23Evan AllenGulls (Ana)C1000-100020010%01414.1500000000000043.75%160000000000000
24Eric GelinasGulls (Ana)D1000040000000%51515.830000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne638102185287-432391557652010573547539.65%2651051716.4919345323098000010698141249.48%286200000.55312012161717
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
1Linus SoderstromGulls (Ana)29131330.8873.22166122897880000.83312295201
2Zane McIntyreGulls (Ana)73200.8883.05394002017900000529000
Statistiques d’équipe totales ou en moyenne36161530.8873.18205622109967000123434201


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Plafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 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 RuzickaGulls (Ana)C251999-05-11No215 Lbs6 ft4NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Alex CoulombeGulls (Ana)D291995-04-09No202 Lbs6 ft3NoNoN/ANoNo2Pro & Farm700,000$0$0$No700,000$--------No--------Lien
Arttu RuotsalainenGulls (Ana)C271997-10-29No187 Lbs5 ft9NoNoN/ANoNo2Pro & Farm1,500,000$0$0$No1,500,000$--------No--------Lien
Brad Malone (sur la masse salariale)Gulls (Ana)LW/RW351989-05-20No217 Lbs6 ft2NoNoTrade2024-06-25NoNo1Pro & Farm1,700,000$0$0$Yes------------------Lien
Chase PearsonGulls (Ana)LW/RW271997-08-23No202 Lbs6 ft3NoNoTrade2024-07-27NoNo1Pro & Farm750,000$0$0$No------------------Lien
Conner BleackleyGulls (Ana)LW/RW281996-02-07No192 Lbs6 ft0NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Conor Timmins (sur la masse salariale)Gulls (Ana)D261998-09-18No202 Lbs6 ft2NoNoN/ANoNo2Pro & Farm900,000$0$0$Yes900,000$--------No--------Lien
Damien BrunnerGulls (Ana)LW/RW381986-03-09No185 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,000,000$0$0$No------------------Lien
Daniel Muzito-BagendaGulls (Ana)LW/RW281996-06-16No198 Lbs6 ft1NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Edward PasqualeGulls (Ana)G341990-11-20No218 Lbs6 ft3NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Eric CornelGulls (Ana)C/LW/RW281996-04-11No198 Lbs6 ft2NoNoTrade2024-01-27NoNo2Pro & Farm1,200,000$0$0$No1,200,000$--------No--------Lien
Eric GelinasGulls (Ana)D331991-05-08No215 Lbs6 ft2NoNoN/ANoNo1Pro & Farm1,250,000$0$0$No------------------Lien
Evan AllenGulls (Ana)C291995-02-03No196 Lbs5 ft11NoNoN/ANoNo2Pro & Farm500,000$0$0$No500,000$--------No--------Lien
John LudvigGulls (Ana)D242000-08-02Yes213 Lbs6 ft1NoNoTrade2024-07-27NoNo12024-06-20Pro & Farm900,000$0$0$No------------------Lien
Jordan OesterleGulls (Ana)D321992-06-25No187 Lbs6 ft0NoNoFree AgentNoNo32024-07-07Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------NoNo-------Lien
Justin BaileyGulls (Ana)LW/RW291995-07-01No214 Lbs6 ft4NoNoTrade2024-06-25NoNo32024-04-29Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------Lien
Kevin RooneyGulls (Ana)C311993-05-21No190 Lbs6 ft2NoNoFree AgentNoNo32024-07-07Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$-------NoNo-------Lien
Linus SoderstromGulls (Ana)G281996-08-23No192 Lbs6 ft4NoNoN/ANoNo32024-04-29Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------Lien
Ludwig BystromGulls (Ana)D301994-07-20No174 Lbs6 ft0NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Marc-Olivier RoyGulls (Ana)LW/RW301994-11-05No182 Lbs6 ft1NoNoN/ANoNo2Pro & Farm800,000$0$0$No800,000$--------No--------Lien
Markus NiemelainenGulls (Ana)D261998-06-08No190 Lbs6 ft6NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Nikolai ProkhorkinGulls (Ana)LW/RW311993-09-17No195 Lbs6 ft1NoNoN/ANoNo2Pro & Farm1,200,000$0$0$No1,200,000$--------No--------Lien
Nils HoglanderGulls (Ana)LW/RW232000-12-20Yes185 Lbs5 ft9NoNoTrade (Prospect)NoNo32024-05-03Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------
Noah JuulsenGulls (Ana)D271997-04-02No194 Lbs6 ft2NoNoN/ANoNo32024-04-29Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------Lien
Shane EisermanGulls (Ana)LW/RW291995-10-10No200 Lbs6 ft2NoNoN/ANoNo2Pro & Farm500,000$0$0$No500,000$--------No--------Lien
Ty EmbersonGulls (Ana)D242000-05-23Yes193 Lbs6 ft2NoNoTrade (Prospect)NoNo32024-06-05Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Vinnie HinostrozaGulls (Ana)LW/RW301994-04-03No183 Lbs5 ft10NoNoFree AgentNoNo32024-07-10Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------Lien
Vitaly AbramovGulls (Ana)LW/RW261998-05-08No187 Lbs5 ft10NoNoN/ANoNo1Pro & Farm750,000$0$0$No------------------Lien
Wiley ShermanGulls (Ana)D291995-05-24No200 Lbs6 ft6NoNoN/ANoNo32024-04-29Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------Lien
Zach GallantGulls (Ana)C251999-03-06No192 Lbs6 ft2NoNoN/ANoNo32024-04-29Pro & Farm800,000$0$0$No800,000$800,000$-------NoNo-------Lien
Zack MitchellGulls (Ana)LW/RW311993-01-07No193 Lbs6 ft0NoNoN/ANoNo1Pro & Farm800,000$0$0$No------------------Lien
Zane McIntyreGulls (Ana)G321992-08-20No206 Lbs6 ft2NoNoN/ANoNo2Pro & Farm1,000,000$0$0$No1,000,000$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3228.88197 Lbs6 ft12.001,070,313$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nils HoglanderEric CornelNikolai Prokhorkin25122
2Kevin RooneyAdam RuzickaVinnie Hinostroza25122
3Vitaly AbramovArttu RuotsalainenJustin Bailey25122
4Daniel Muzito-BagendaChase PearsonDamien Brunner25122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty EmbersonJohn Ludvig25122
2Jordan OesterleMarkus Niemelainen25122
3Noah JuulsenWiley Sherman25122
4Jordan OesterleWiley Sherman25122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Nils HoglanderEric CornelArttu Ruotsalainen50122
2Chase PearsonKevin RooneyVinnie Hinostroza50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty EmbersonJordan Oesterle50122
2John LudvigNoah Juulsen50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Chase PearsonJustin Bailey50122
2Kevin RooneyNikolai Prokhorkin50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Noah JuulsenJohn Ludvig50122
2Jordan OesterleMarkus Niemelainen50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Chase Pearson50122Ty EmbersonJohn Ludvig50122
2Eric Cornel50122Jordan OesterleMarkus Niemelainen50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Arttu RuotsalainenKevin Rooney50122
2Eric CornelNils Hoglander50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Ty EmbersonJohn Ludvig50122
2Noah JuulsenMarkus Niemelainen50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nils HoglanderEric CornelAdam RuzickaTy EmbersonJordan Oesterle
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nils HoglanderEric CornelAdam RuzickaTy EmbersonJordan Oesterle
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kevin Rooney, Eric Cornel, Nikolai ProkhorkinKevin Rooney, Eric CornelKevin Rooney
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Markus Niemelainen, Noah Juulsen, John LudvigMarkus NiemelainenMarkus Niemelainen, Noah Juulsen
Tirs de pénalité
Vitaly Abramov, Ty Emberson, Kevin Rooney, Eric Cornel, Arttu Ruotsalainen
Gardien
#1 : Zane McIntyre, #2 : Linus Soderstrom


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
1Admirals30300000713-60000000000030300000713-600.000714210035293047433732334420922320519111.11%9366.67%0559112949.51%565113949.60%27753851.49%826567784254447227
2Americans1010000027-5000000000001010000027-500.00024600352930429337323344202561010200.00%5340.00%0559112949.51%565113949.60%27753851.49%826567784254447227
3Barracuda21000010752100000104311100000032141.00071017003529304693373233442040158278112.50%40100.00%0559112949.51%565113949.60%27753851.49%826567784254447227
4BruinsF10001000541100010005410000000000021.0005914003529304423373233442028100134125.00%000%0559112949.51%565113949.60%27753851.49%826567784254447227
5Canucks11000000321000000000001100000032121.0003690035293042333732334420259623300.00%30100.00%0559112949.51%565113949.60%27753851.49%826567784254447227
6Comets11000000422110000004220000000000021.0004711003529304393373233442037510216116.67%4250.00%0559112949.51%565113949.60%27753851.49%826567784254447227
7Condors22000000752220000007520000000000041.0007121900352930470337323344205011103010110.00%4175.00%0559112949.51%565113949.60%27753851.49%826567784254447227
8Crunch11000000422000000000001100000042221.00047110035293043333732334420233825300.00%40100.00%0559112949.51%565113949.60%27753851.49%826567784254447227
9Eagles11000000303110000003030000000000021.0003690135293044033732334420266618500.00%30100.00%0559112949.51%565113949.60%27753851.49%826567784254447227
10Firebirds1000000123-11000000123-10000000000010.50024600352930433337323344202210610100.00%30100.00%0559112949.51%565113949.60%27753851.49%826567784254447227
11Griffins31200000990211000008531010000014-320.3339182700352930496337323344208135175915533.33%6350.00%0559112949.51%565113949.60%27753851.49%826567784254447227
12Icehogs21100000550110000003211010000023-120.50059140035293045133732334420612114277114.29%7185.71%0559112949.51%565113949.60%27753851.49%826567784254447227
13Iowa Wild2110000046-22110000046-20000000000020.5004812003529304593373233442058112028300.00%9277.78%0559112949.51%565113949.60%27753851.49%826567784254447227
14Monsters21100000871211000008710000000000020.500815230035293045033732334420681616434125.00%8275.00%0559112949.51%565113949.60%27753851.49%826567784254447227
15PenguinsF10000010431000000000001000001043121.000461000352930428337323344204058142150.00%40100.00%0559112949.51%565113949.60%27753851.49%826567784254447227
16Reign21000100642210001006420000000000030.750612180135293044633732334420542016294125.00%80100.00%0559112949.51%565113949.60%27753851.49%826567784254447227
17Roadrunners1010000024-2000000000001010000024-200.0002460035293043333732334420418416100.00%220.00%0559112949.51%565113949.60%27753851.49%826567784254447227
18Rocket1010000037-4000000000001010000037-400.00036900352930437337323344203271329100.00%3233.33%0559112949.51%565113949.60%27753851.49%826567784254447227
19SenatorsF1010000024-21010000024-20000000000000.000235003529304283373233442027104132150.00%110.00%0559112949.51%565113949.60%27753851.49%826567784254447227
20Silver Knights2020000026-4000000000002020000026-400.0002240035293044333732334420521520344125.00%10280.00%0559112949.51%565113949.60%27753851.49%826567784254447227
21StarsF11000000321000000000001100000032121.00035800352930439337323344201934116116.67%20100.00%0559112949.51%565113949.60%27753851.49%826567784254447227
22Wranglers20100100510-51000010056-11010000004-410.250510150035293045033732334420661421354125.00%7185.71%0559112949.51%565113949.60%27753851.49%826567784254447227
Total3413150122197110-1318940121161511016411000103659-23350.515971772740235293041012337323344209672632415661041817.31%1062576.42%0559112949.51%565113949.60%27753851.49%826567784254447227
_Since Last GM Reset3413150122197110-1318940121161511016411000103659-23350.515971772740235293041012337323344209672632415661041817.31%1062576.42%0559112949.51%565113949.60%27753851.49%826567784254447227
_Vs Conference261112002107178-71483002104838101239000002340-17260.5007113120202352930474333732334420733207182431831416.87%821779.27%0559112949.51%565113949.60%27753851.49%826567784254447227

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
3435W197177274101296726324156602
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
341315122197110
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
189412116151
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
1641100103659
Derniers 10 matchs
WLOTWOTL SOWSOL
441010
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1041817.31%1062576.42%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
337323344203529304
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
559112949.51%565113949.60%27753851.49%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
826567784254447227


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 - 2024-09-035Gulls2Admirals5ALSommaire du match
3 - 2024-09-0518Gulls2Silver Knights3ALSommaire du match
5 - 2024-09-0730Monsters3Gulls7BWSommaire du match
7 - 2024-09-0946Gulls3Canucks2AWSommaire du match
9 - 2024-09-1160Iowa Wild4Gulls1BLSommaire du match
12 - 2024-09-1484Wranglers6Gulls5BLXSommaire du match
14 - 2024-09-16105Eagles0Gulls3BWSommaire du match
16 - 2024-09-18116Gulls1Griffins4ALSommaire du match
18 - 2024-09-20129Gulls3StarsF2AWSommaire du match
21 - 2024-09-23153Monsters4Gulls1BLSommaire du match
23 - 2024-09-25168Barracuda3Gulls4BWXXSommaire du match
25 - 2024-09-27183Gulls2Icehogs3ALSommaire du match
27 - 2024-09-29201Iowa Wild2Gulls3BWSommaire du match
29 - 2024-10-01213Gulls3Barracuda2AWSommaire du match
32 - 2024-10-04232Gulls3Admirals5ALSommaire du match
34 - 2024-10-06243Reign4Gulls3BLXSommaire du match
38 - 2024-10-10270Firebirds3Gulls2BLXXSommaire du match
41 - 2024-10-13289Gulls2Roadrunners4ALSommaire du match
43 - 2024-10-15303Gulls4Crunch2AWSommaire du match
44 - 2024-10-16312Comets2Gulls4BWSommaire du match
46 - 2024-10-18332Reign0Gulls3BWSommaire du match
49 - 2024-10-21351Gulls3Rocket7ALSommaire du match
50 - 2024-10-22362Gulls2Americans7ALSommaire du match
52 - 2024-10-24374SenatorsF4Gulls2BLSommaire du match
55 - 2024-10-27394Gulls0Silver Knights3ALSommaire du match
57 - 2024-10-29405Griffins4Gulls2BLSommaire du match
60 - 2024-11-01429Icehogs2Gulls3BWSommaire du match
63 - 2024-11-04446Gulls4PenguinsF3AWXXSommaire du match
65 - 2024-11-06458Condors3Gulls4BWSommaire du match
69 - 2024-11-10487BruinsF4Gulls5BWXSommaire du match
71 - 2024-11-12503Gulls0Wranglers4ALSommaire du match
73 - 2024-11-14518Condors2Gulls3BWSommaire du match
76 - 2024-11-17538Gulls2Admirals3ALSommaire du match
78 - 2024-11-19551Griffins1Gulls6BWSommaire du match
80 - 2024-11-21566Gulls-Griffins-
81 - 2024-11-22582Iowa Wild-Gulls-
85 - 2024-11-26610Eagles-Gulls-
87 - 2024-11-28627Gulls-Wranglers-
89 - 2024-11-30642Roadrunners-Gulls-
90 - 2024-12-01652Gulls-Monsters-
94 - 2024-12-05676StarsF-Gulls-
96 - 2024-12-07691Gulls-Iowa Wild-
98 - 2024-12-09707Canucks-Gulls-
100 - 2024-12-11721Gulls-Canucks-
102 - 2024-12-13734Gulls-Marlies-
103 - 2024-12-14745StarsF-Gulls-
107 - 2024-12-18770Gulls-Barracuda-
108 - 2024-12-19778Moose-Gulls-
111 - 2024-12-22802Gulls-Roadrunners-
113 - 2024-12-24809Checkers-Gulls-
116 - 2024-12-27835Admirals-Gulls-
118 - 2024-12-29851Gulls-Iowa Wild-
120 - 2024-12-31865Roadrunners-Gulls-
122 - 2025-01-02877Gulls-Thunderbirds-
125 - 2025-01-05900Barracuda-Gulls-
126 - 2025-01-06909Gulls-Phantoms-
128 - 2025-01-08927Gulls-Icehogs-
130 - 2025-01-10938Admirals-Gulls-
133 - 2025-01-13965Wranglers-Gulls-
136 - 2025-01-16979Gulls-Wolf Pack-
138 - 2025-01-18996Gulls-Monsters-
139 - 2025-01-191004Bears-Gulls-
141 - 2025-01-211022Gulls-Islanders-
142 - 2025-01-221033Canucks-Gulls-
145 - 2025-01-251053Gulls-Condors-
146 - 2025-01-261064Thunderbirds-Gulls-
148 - 2025-01-281079Gulls-Condors-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2025-01-301095Thunderbirds-Gulls-
151 - 2025-01-311096Gulls-StarsF-
155 - 2025-02-041126Icehogs-Gulls-
157 - 2025-02-061137Gulls-Thunderbirds-
160 - 2025-02-091159Wolves-Gulls-
162 - 2025-02-111173Gulls-Reign-
165 - 2025-02-141193Bears-Gulls-
167 - 2025-02-161204Gulls-Reign-
171 - 2025-02-201225Monsters-Gulls-
173 - 2025-02-221237Gulls-Eagles-
175 - 2025-02-241254Gulls-SenatorsF-
177 - 2025-02-261265Silver Knights-Gulls-
180 - 2025-03-011283Gulls-SenatorsF-
181 - 2025-03-021291Gulls-Eagles-
183 - 2025-03-041309Silver Knights-Gulls-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance27,86317,317
Assistance PCT77.40%96.21%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
23 2510 - 83.67% 102,227$1,840,087$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,458,135$ 3,165,000$ 3,165,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,415,451$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,351,222$ 106 17,649$ 1,870,794$




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
1Eric Cornel11640317116205318030912.94%22182315.7249133820275350.07%10.7815
2Conor Timmins104125668-64478801358.89%100212120.4051520690001400%00.6400
3Adam Ruzicka112254368-1422641952669.40%20192017.15314174200094051.36%00.7117
4Vitaly Abramov11627376424211211324610.98%22169414.61412163800031152.38%10.7624
5Arttu Ruotsalainen84183351228711322128.49%20143417.08313164300036050.34%00.7103

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
1Linus Soderstrom97464270.8853.2854768429926090310.80035
2Tyler Beskorowany248610.9013.111080215656400000
3Zane McIntyre84200.8933.04454002321400000

Gulls Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Saison régulière
1582373501342251272-21412310013311331181541142500011118154-3689251448699139580718233080974376239242173366813832365523.31%2695778.81%21378272750.53%1453281351.65%673137648.91%1918129919526211090544
163413150122197110-1318940121161511016411000103659-2335971772740235293041012337323344209672632415661041817.31%1062576.42%0559112949.51%565113949.60%27753851.49%826567784254447227
Total Saison régulière116505002563348382-34593214025421941692557183600021154213-591243486259731513010910112334211461066110659338899690919493407321.47%3758278.13%21937385650.23%2018395251.06%950191449.63%2744186627378761537771
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

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