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Connexion

Gulls
GP: 16 | W: 11 | L: 4 | OTL: 1 | P: 23
GF: 80 | GA: 59 | PP%: 23.53% | PK%: 79.41%
DG: Pierre-Olivier Lévesque | Morale : 47 | Moyenne d’équipe : 65
Prochains matchs #206 vs Checkers

Centre de jeu
Comets
9-3-2, 20pts
4
7 Gulls
11-4-1, 23pts
Team Stats
W1SéquenceOTW1
5-2-1Fiche domicile5-2-0
4-1-1Fiche domicile6-2-1
6-3-1Derniers 10 matchs8-2-0
5.00Buts par match 5.00
4.00Buts contre par match 3.69
30.43%Pourcentage en avantage numérique23.53%
60.00%Pourcentage en désavantage numérique79.41%
Gulls
11-4-1, 23pts
4
3 Penguins
5-8-3, 13pts
Team Stats
OTW1SéquenceOTL1
5-2-0Fiche domicile1-5-2
6-2-1Fiche domicile4-3-1
8-2-0Derniers 10 matchs1-7-2
5.00Buts par match 3.50
3.69Buts contre par match 4.25
23.53%Pourcentage en avantage numérique19.30%
79.41%Pourcentage en désavantage numérique74.24%
Checkers
6-8-1, 13pts
Jour 34
Gulls
11-4-1, 23pts
Statistiques d’équipe
OTW1SéquenceOTW1
3-4-1Fiche domicile5-2-0
3-4-0Fiche visiteur6-2-1
5-4-110 derniers matchs8-2-0
3.67Buts par match 5.00
4.27Buts contre par match 5.00
24.62%Pourcentage en avantage numérique23.53%
81.25%Pourcentage en désavantage numérique79.41%
Gulls
11-4-1, 23pts
Jour 36
Canucks
9-4-3, 21pts
Statistiques d’équipe
OTW1SéquenceOTW2
5-2-0Fiche domicile5-2-1
6-2-1Fiche visiteur4-2-2
8-2-010 derniers matchs6-3-1
5.00Buts par match 4.06
3.69Buts contre par match 4.06
23.53%Pourcentage en avantage numérique20.97%
79.41%Pourcentage en désavantage numérique87.76%
Firebirds
10-3-0, 20pts
Jour 38
Gulls
11-4-1, 23pts
Statistiques d’équipe
W2SéquenceOTW1
6-2-0Fiche domicile5-2-0
4-1-0Fiche visiteur6-2-1
7-3-010 derniers matchs8-2-0
5.08Buts par match 5.00
3.62Buts contre par match 5.00
20.69%Pourcentage en avantage numérique23.53%
82.69%Pourcentage en désavantage numérique79.41%
Meneurs d'équipe
Buts
Troy Terry
20
Passes
Mikhail Maltsev
22
Points
Troy Terry
31
Plus/Moins
Mikhail Maltsev
14
Victoires
Thomas McCollum
9
Pourcentage d’arrêts
Mads Sogaard
0.89

Statistiques d’équipe
Buts pour
80
5.00 GFG
Tirs pour
528
33.00 Avg
Pourcentage en avantage numérique
23.5%
16 GF
Début de zone offensive
35.5%
Buts contre
59
3.69 GAA
Tirs contre
500
31.25 Avg
Pourcentage en désavantage numérique
79.4%%
14 GA
Début de la zone défensive
36.8%
Informations de l'équipe

Directeur généralPierre-Olivier Lévesque
EntraîneurJean-Sebastien Giguere
DivisionMax-Sillig
ConférenceLouis-Magnus
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,815
Billets de saison300


Informations de la formation

Équipe Pro29
Équipe Mineure18
Limite contact 47 / 250
Espoirs0


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
1Dominic Turgeon (R)X100.006936907376827273797769797166533948740241900,000$
2Troy Terry (R)X100.007332848174766680696873687850494651710231900,000$
3Calvin Thurkauf (R)X100.008058717072568674667169606145473951680232750,000$
4Henri IkonenX100.007647727368587768657669675149502851670251700,000$
5Nick Merkley (R)X100.006335846466747075807670486747484351670231650,000$
6Francis Perron (R)X100.006340747054577374758172466546493629660241600,000$
7Seth Jarvis (R)X100.005130767852665084676266578240407551640182500,000$
8Pavel Dorofeyev (R)X100.006539775282666671636876496742446451640201500,000$
9MacKenzie Entwistle (R)X100.007839715971598059607264564743434947620211500,000$
10Emil Heineman (R)X100.006831785078665866666869436840408151610182500,000$
11Quinton Byfield (R)X100.006735794786646561716176396440408351610182500,000$
12Damien Giroux (R)X100.006536766562566758665764536742425137600202500,000$
13Zac LeslieX100.007947748072747476547070836878563350750261800,000$
14Mikko VainonenX100.007229797172767374547364755879542551710261975,000$
15Jack Glover (R)X100.007041837471737473626577716757524451700241900,000$
16Tarmo Reunanen (R)X100.006841827672626866517263796455484351700222750,000$
17Ryan Collins (R)X100.005837707068626663497359695648483447640241500,000$
18Markus Niemelainen (R)X100.006347676874696962476658635446445447640221500,000$
Rayé
1Mikhail Maltsev (R)X87.777447757582597380597070686047465341690223700,000$
2Luke Kunin (R)X84.607737787676577176626675606350483839680232650,000$
3Zack MacEwen (R)X100.007051666576647364606370596047482742640241600,000$
4Massimo Rizzo (R)X100.005033595151604960635859355341416035530191500,000$
5Matt GrzelcykX85.627526768268717472558160746172573232720261975,000$
6Mason Lohrei (R)X100.005731805964656045356144694140407235590182500,000$
7Drew Helleson (R)X100.005826836362646554325937654041415635590191500,000$
8William Wallinder (R)X100.004232676847555776367457623840407235580182500,000$
MOYENNE D’ÉQUIPE98.38673876686965686959696561605046494565
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
1Thomas McCollum97.00777975777572767973797270742055750311975,000$
2Mads Sogaard100.00695769605573755451816943425555630201500,000$
Rayé
1Yaroslav Askarov (R)100.00654455776245425564547340406932550182500,000$
MOYENNE D’ÉQUIPE99.0070606671646364636371715152484764
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jean-Sebastien Giguere73796671916353CAN572800,000$


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
1Troy TerryGulls (Ana)RW162011311380312284214323.81%1235322.113369530000404163.27%49168011.7500000511
2Mikhail MaltsevGulls (Ana)LW168223014260282056214314.29%832820.521345531011271046.43%2834101.8301000103
3Dominic TurgeonGulls (Ana)C11715221000203233131521.21%624822.613584401012300049.36%38953001.7700000032
4Luke KuninGulls (Ana)C15115166100381842142126.19%425817.256178430000170044.19%267910021.2400000120
5Seth JarvisGulls (Ana)RW168614-22081133131524.24%417110.7022432000006110%182001.6400000111
6Nick MerkleyGulls (Ana)RW167613620201131112422.58%224215.18112227000050260.00%1045001.0700000110
7Calvin ThurkaufGulls (Ana)C16761352027203861318.42%323214.520003161013312049.68%15585001.1200000112
8Henri IkonenGulls (Ana)LW163912910023223711238.11%324915.600333270110142042.86%744000.9600000010
9Mikko VainonenGulls (Ana)D161910820193722794.55%2542126.33011255011063000%064000.4700000000
10Jack GloverGulls (Ana)D1607792015291311120%1133220.78011027000045000%0613000.4200000000
11Zac LeslieGulls (Ana)D1207731803532361990%2531926.59011547000024000%0411000.4400000000
12Tarmo ReunanenGulls (Ana)D161562201736207175.00%1730819.25011143011032000%099000.3900000000
13Emil HeinemanGulls (Ana)LW1614502015460716.67%11308.17000017000115000%231000.7600000000
14MacKenzie EntwistleGulls (Ana)RW11224-1409257940.00%0625.6700002000000050.00%621001.2800000001
15Markus NiemelainenGulls (Ana)D160449295885460%1017310.8400000011011000%018000.4600000000
16Francis PerronGulls (Ana)LW42132205193522.22%1389.630000000000100%022001.5600000100
17Matt GrzelcykGulls (Ana)D603302071211610%1013522.56011220000015000%043000.4400000000
18Ryan CollinsGulls (Ana)D110331206107340%514913.5700003000017000%015000.4000000000
19Quinton ByfieldGulls (Ana)C16112-3208392611.11%21549.6500001000060043.08%6500000.2600000000
20Zack MacEwenGulls (Ana)RW10112-280581911145.26%3949.4200000000060066.67%322000.4200000001
21Drew HellesonGulls (Ana)D5022520011000%3357.110000000000000%001001.1300000000
22Pavel DorofeyevGulls (Ana)LW16022-3401558960%21509.43000000000100100.00%133000.2700000000
23William WallinderGulls (Ana)D5011100110000%0275.450000200000000%000000.7300000000
24Mason LohreiGulls (Ana)D5000-100130000%0244.870000000001000%00100000000000
25Damien GirouxGulls (Ana)C6000-240533100%1427.1200000000000041.67%240000000000000
26Massimo RizzoGulls (Ana)C5000100100000%091.92000000000800100.00%10000000000000
Statistiques d’équipe totales ou en moyenne3148013221290145536735152820030215.15%158469414.9516233947506347742711448.12%1008100105130.9001000111011
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
1Thomas McCollumGulls (Ana)149410.8803.8775920494092012000133000
2Mads SogaardGulls (Ana)52000.8902.97202001091420000313001
Statistiques d’équipe totales ou en moyenne1911410.8823.6896120595002432001616001


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond 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
Calvin ThurkaufGulls (Ana)C231997-01-01CHEYes205 Lbs6 ft2NoNoTrade2025-03-19NoNo2FalseFalsePro & Farm750,000$607,988$0$0$No750,000$--------750,000$--------No--------Lien
Damien GirouxGulls (Ana)C202000-01-01CANYes179 Lbs5 ft10NoNoFree AgentNoNo22025-08-30FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------Lien
Dominic TurgeonGulls (Ana)C241996-01-01CANYes200 Lbs6 ft2NoNoTrade2025-04-15NoNo1FalseFalsePro & Farm900,000$729,586$0$0$No---------------------------Lien
Drew HellesonGulls (Ana)D192001-01-01USAYes190 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Emil HeinemanGulls (Ana)LW182002-01-01FINYes194 Lbs6 ft1NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Francis PerronGulls (Ana)LW241996-01-01CANYes178 Lbs6 ft2NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm600,000$486,391$0$0$No---------------------------Lien
Henri IkonenGulls (Ana)LW251995-01-01FINNo185 Lbs6 ft0NoNoFree AgentNoNo12024-10-07FalseFalsePro & Farm700,000$567,456$0$0$No---------------------------Lien
Jack GloverGulls (Ana)D241996-01-01USAYes198 Lbs6 ft3NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm900,000$729,586$0$0$No---------------------------Lien
Luke KuninGulls (Ana)C231997-01-01USAYes192 Lbs6 ft0NoNoFree AgentNoNo22025-08-30FalseFalsePro & Farm650,000$526,923$0$0$No650,000$--------650,000$--------No--------Lien
MacKenzie EntwistleGulls (Ana)RW211999-01-01CANYes184 Lbs6 ft3NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Mads SogaardGulls (Ana)G202000-01-01DNKNo196 Lbs6 ft7NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Markus NiemelainenGulls (Ana)D221998-01-01FINYes201 Lbs6 ft5NoNoTrade2024-08-03NoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Mason LohreiGulls (Ana)D182002-01-01USAYes220 Lbs6 ft5NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Massimo RizzoGulls (Ana)C192001-01-01CANYes181 Lbs5 ft11NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Matt Grzelcyk (sur la masse salariale)Gulls (Ana)D261994-01-01USANo171 Lbs5 ft9NoNoFree AgentNoNo12025-10-23FalseFalsePro & Farm975,000$790,385$0$0$Yes---------------------------Lien
Mikhail MaltsevGulls (Ana)LW221998-01-01RUSYes220 Lbs6 ft3NoNoFree AgentNoNo32025-08-30FalseFalsePro & Farm700,000$567,456$0$0$No800,000$900,000$-------800,000$900,000$-------NoNo-------Lien
Mikko VainonenGulls (Ana)D261994-01-01FINNo222 Lbs6 ft2NoNoFree AgentNoNo12025-10-23FalseFalsePro & Farm975,000$790,385$0$0$No---------------------------Lien
Nick MerkleyGulls (Ana)RW231997-01-01CANYes194 Lbs5 ft10NoNoTrade2024-09-01NoNo1FalseFalsePro & Farm650,000$526,923$0$0$No---------------------------Lien
Pavel DorofeyevGulls (Ana)LW202000-01-01RUSYes194 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Quinton ByfieldGulls (Ana)C182002-01-01CANYes220 Lbs6 ft5NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Ryan CollinsGulls (Ana)D241996-01-01USAYes204 Lbs6 ft5NoNoFree AgentNoNo12025-08-30FalseFalsePro & Farm500,000$405,325$0$0$No---------------------------Lien
Seth JarvisGulls (Ana)RW182002-01-01CANYes172 Lbs5 ft10NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Tarmo ReunanenGulls (Ana)D221998-01-01FINYes179 Lbs6 ft0NoNoTrade2024-07-10NoNo2FalseFalsePro & Farm750,000$607,988$0$0$No750,000$--------750,000$--------No--------Lien
Thomas McCollumGulls (Ana)G311989-01-01USANo215 Lbs6 ft2NoNoFree Agent2025-03-30NoNo12025-10-23FalseFalsePro & Farm975,000$790,385$0$0$No---------------------------Lien
Troy TerryGulls (Ana)RW231997-01-01USAYes180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$729,586$0$0$No---------------------------Lien
William WallinderGulls (Ana)D182002-01-01SWEYes191 Lbs6 ft4NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Yaroslav AskarovGulls (Ana)G182002-01-01RUSYes176 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$405,325$0$0$No500,000$--------500,000$--------No--------
Zac LeslieGulls (Ana)D261994-01-01CANNo185 Lbs6 ft0NoNoTrade2025-09-02NoNo12024-10-18FalseFalsePro & Farm800,000$648,521$0$0$No---------------------------Lien
Zack MacEwenGulls (Ana)RW241996-01-01CANYes205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm600,000$486,391$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2922.03194 Lbs6 ft21.41649,138$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Henri IkonenDominic TurgeonTroy Terry40023
2Pavel DorofeyevCalvin ThurkaufNick Merkley30023
3Emil HeinemanQuinton ByfieldSeth Jarvis20023
4Francis PerronDamien GirouxMacKenzie Entwistle10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zac LeslieMikko Vainonen40122
2Jack GloverTarmo Reunanen30122
3Ryan CollinsMarkus Niemelainen20122
4Zac LeslieMikko Vainonen10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Henri IkonenDominic TurgeonTroy Terry60122
2Francis PerronCalvin ThurkaufNick Merkley40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zac LeslieMikko Vainonen60122
2Jack GloverTarmo Reunanen40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dominic TurgeonHenri Ikonen60122
2Calvin ThurkaufFrancis Perron40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zac LeslieMikko Vainonen60122
2Jack GloverTarmo Reunanen40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dominic Turgeon60122Zac LeslieMikko Vainonen60122
2Calvin Thurkauf40122Jack GloverTarmo Reunanen40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dominic TurgeonHenri Ikonen60122
2Calvin ThurkaufFrancis Perron40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zac LeslieMikko Vainonen60122
2Jack GloverTarmo Reunanen40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Henri IkonenDominic TurgeonTroy TerryZac LeslieMikko Vainonen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Henri IkonenDominic TurgeonTroy TerryZac LeslieMikko Vainonen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Henri Ikonen, Francis Perron, Seth JarvisHenri Ikonen, Francis PerronHenri Ikonen
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tarmo Reunanen, Ryan Collins, Markus NiemelainenTarmo ReunanenTarmo Reunanen, Ryan Collins
Tirs de pénalité
Dominic Turgeon, Troy Terry, Calvin Thurkauf, Nick Merkley, Henri Ikonen
Gardien
#1 : Mads Sogaard, #2 : Thomas McCollum, #3 : 0
Lignes d’attaque personnalisées en prolongation
Dominic Turgeon, Troy Terry, Calvin Thurkauf, Nick Merkley, Henri Ikonen, Francis Perron, Seth Jarvis, Pavel Dorofeyev, MacKenzie Entwistle, Emil Heineman
Lignes de défense personnalisées en prolongation
Zac Leslie, Mikko Vainonen, Jack Glover, Tarmo Reunanen, Ryan Collins


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
1Checkers3210000015105110000008172110000079-240.6671525400021263129514218619738626287416318.75%14285.71%117535649.16%17636947.70%13427948.03%328180350151283140
2Comets11000000743110000007430000000000021.0007121900212631236142186197336862111100.00%3166.67%017535649.16%17636947.70%13427948.03%328180350151283140
3Crunch2200000012570000000000022000000125741.000121931002126312681421861973532710405360.00%50100.00%117535649.16%17636947.70%13427948.03%328180350151283140
4Eagles1010000048-41010000048-40000000000000.000471100212631242142186197333612268225.00%6266.67%017535649.16%17636947.70%13427948.03%328180350151283140
5Firebirds320001001613311000000523210001001111050.833162642002126312105142186197311031326710220.00%17476.47%017535649.16%17636947.70%13427948.03%328180350151283140
6Penguins4120100015132211000007432010100089-140.5001523380021263121171421861973124384310218422.22%15380.00%017535649.16%17636947.70%13427948.03%328180350151283140
7Thunderbirds10001000431100010004310000000000021.00047110021263122614218619733011614400.00%30100.00%017535649.16%17636947.70%13427948.03%328180350151283140
8Wolfpack11000000734000000000001100000073421.00071320002126312391421861973281110236116.67%5260.00%117535649.16%17636947.70%13427948.03%328180350151283140
Total169402100805921742010003522139520110045378230.719801322120021263125281421861973500158147367681623.53%681479.41%317535649.16%17636947.70%13427948.03%328180350151283140
_Since Last GM Reset169402100805921742010003522139520110045378230.719801322120021263125281421861973500158147367681623.53%681479.41%317535649.16%17636947.70%13427948.03%328180350151283140
_Vs Conference159401100765620642000003119129520110045378210.700761252010021263125021421861973470147141353641625.00%651478.46%317535649.16%17636947.70%13427948.03%328180350151283140
_Vs Division1053011004636104310000020713622011002629-3130.650467412000212631231714218619733209510324344920.45%46980.43%117535649.16%17636947.70%13427948.03%328180350151283140

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1623OTW18013221252850015814736700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
169421008059
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
74210003522
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
95211004537
Derniers 10 matchs
WLOTWOTL SOWSOL
721000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
681623.53%681479.41%3
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
14218619732126312
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
17535649.16%17636947.70%13427948.03%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
328180350151283140


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
13Gulls5Crunch2WSommaire du match
215Checkers1Gulls8WSommaire du match
533Penguins3Gulls2LSommaire du match
744Gulls4Penguins6LSommaire du match
853Gulls4Firebirds5LXSommaire du match
1065Thunderbirds3Gulls4WXSommaire du match
1281Gulls7Crunch3WSommaire du match
1493Gulls2Checkers6LSommaire du match
16101Firebirds2Gulls5WSommaire du match
18115Gulls5Checkers3WSommaire du match
20127Eagles8Gulls4LSommaire du match
22143Penguins1Gulls5WSommaire du match
25159Gulls7Firebirds6WSommaire du match
26166Gulls7Wolfpack3WSommaire du match
29178Comets4Gulls7WSommaire du match
32196Gulls4Penguins3WXSommaire du match
34206Checkers-Gulls-
36220Gulls-Canucks-
38230Firebirds-Gulls-
40245Gulls-Wranglers-
42252Gulls-Thunderbirds-
43258Islander-Gulls-
46281Comets-Gulls-
48294Gulls-Marlies-
50304Checkers-Gulls-
52319Gulls-Roadrunners-
54330Admirals-Gulls-
56342Gulls-Comets-
58356Gulls-Moose-
59364Wranglers-Gulls-
61376Gulls-Icehogs-
63388Eagles-Gulls-
65401Gulls-Punishers-
66413Condors-Gulls-
69430Gulls-Marlies-
70440Rockets-Gulls-
72455Gulls-Little Stars-
74464Gulls-Senators-
75468Crunch-Gulls-
78485Gulls-Senators-
79493Griffins-Gulls-
82515Firebirds-Gulls-
84523Gulls-Firebirds-
87542Bears-Gulls-
89560Gulls-Eagles-
91568Moose-Gulls-
93584Gulls-Islander-
94593Senators-Gulls-
97609Gulls-Checkers-
99619Thunderbirds-Gulls-
102644Gulls-Admirals-
103649Thunderbirds-Gulls-
105668Roadrunners-Gulls-
109689Gulls-Canucks-
110697Wolfpack-Gulls-
112708Gulls-Rockets-
115722Little Stars-Gulls-
117739Barracuda-Gulls-
119748Gulls-Barracuda-
121760Gulls-Rockets-
122767Gulls-Americans-
124779Americans-Gulls-
126797Gulls-Bears-
127804Icehogs-Gulls-
130818Gulls-Wolfpack-
132830Americans-Gulls-
133839Gulls-Griffins-
136854Wranglers-Gulls-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
137862Gulls-Crunch-
140878Gulls-Penguins-
141886Barracuda-Gulls-
144906Gulls-Admirals-
145910Wolfpack-Gulls-
149934Penguins-Gulls-
151950Gulls-Griffins-
153959Icehogs-Gulls-
157985Canucks-Gulls-
1611005Punishers-Gulls-
1631015Gulls-Condors-
1661037Marlies-Gulls-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance13,1736,534
Assistance PCT94.09%93.34%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
33 2815 - 93.84% 177,521$1,242,644$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
485,226$ 1,882,500$ 1,882,500$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,562$ 330,279$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
5,858,179$ 137 15,873$ 2,174,601$




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