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Connexion

Gulls
GP: 59 | W: 27 | L: 24 | OTL: 8 | P: 62
GF: 254 | GA: 251 | PP%: 24.65% | PK%: 78.97%
DG: Pierre-Olivier Lévesque | Morale : 31 | Moyenne d’équipe : 65
Prochains matchs #760 vs Rockets

Centre de jeu
Barracuda
28-28-3, 59pts
8
6 Gulls
27-24-8, 62pts
Team Stats
W4SéquenceL2
14-14-1Fiche domicile12-13-4
14-14-2Fiche domicile15-11-4
8-2-0Derniers 10 matchs5-4-1
4.36Buts par match 4.31
4.80Buts contre par match 4.25
27.00%Pourcentage en avantage numérique24.65%
78.30%Pourcentage en désavantage numérique78.97%
Gulls
27-24-8, 62pts
4
5 Barracuda
28-28-3, 59pts
Team Stats
L2SéquenceW4
12-13-4Fiche domicile14-14-1
15-11-4Fiche domicile14-14-2
5-4-1Derniers 10 matchs8-2-0
4.31Buts par match 4.36
4.25Buts contre par match 4.80
24.65%Pourcentage en avantage numérique27.00%
78.97%Pourcentage en désavantage numérique78.30%
Gulls
27-24-8, 62pts
Jour 121
Rockets
24-28-5, 53pts
Statistiques d’équipe
L2SéquenceW2
12-13-4Fiche domicile11-14-4
15-11-4Fiche visiteur13-14-1
5-4-110 derniers matchs5-5-0
4.31Buts par match 4.07
4.25Buts contre par match 4.07
24.65%Pourcentage en avantage numérique22.40%
78.97%Pourcentage en désavantage numérique78.03%
Gulls
27-24-8, 62pts
Jour 122
Americans
28-28-3, 59pts
Statistiques d’équipe
L2SéquenceW1
12-13-4Fiche domicile12-16-1
15-11-4Fiche visiteur16-12-2
5-4-110 derniers matchs6-3-1
4.31Buts par match 4.32
4.25Buts contre par match 4.32
24.65%Pourcentage en avantage numérique21.46%
78.97%Pourcentage en désavantage numérique80.58%
Americans
28-28-3, 59pts
Jour 124
Gulls
27-24-8, 62pts
Statistiques d’équipe
W1SéquenceL2
12-16-1Fiche domicile12-13-4
16-12-2Fiche visiteur15-11-4
6-3-110 derniers matchs5-4-1
4.32Buts par match 4.31
4.76Buts contre par match 4.31
21.46%Pourcentage en avantage numérique24.65%
80.58%Pourcentage en désavantage numérique78.97%
Meneurs d'équipe
Buts
Troy Terry
39
Passes
Dominic Turgeon
56
Points
Dominic Turgeon
87
Plus/Moins
Drew Helleson
12
Victoires
Thomas McCollum
20
Pourcentage d’arrêts
Thomas McCollum
0.878

Statistiques d’équipe
Buts pour
254
4.31 GFG
Tirs pour
1911
32.39 Avg
Pourcentage en avantage numérique
24.7%
53 GF
Début de zone offensive
35.1%
Buts contre
251
4.25 GAA
Tirs contre
1957
33.17 Avg
Pourcentage en désavantage numérique
79.0%%
53 GA
Début de la zone défensive
37.0%
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
Assistance2,764
Billets de saison300


Informations de la formation

Équipe Pro28
Équipe Mineure18
Limite contact 46 / 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)X100.006936907376827273797769797166533942740241900,000$
2Mikhail Maltsev (R)X100.007447757582597380597070686047465339690223700,000$
3Calvin Thurkauf (R)X100.008058717072568674667169606145473929680232750,000$
4Luke Kunin (R)X100.007737787676577176626675606350483835680232650,000$
5Henri IkonenX100.007647727368587768657669675149502836670251700,000$
6Nick Merkley (R)X100.006335846466747075807670486747484346670231650,000$
7Zack MacEwen (R)X100.007051666576647364606370596047482719640241600,000$
8Pavel Dorofeyev (R)X100.006539775282666671636876496742446436640201500,000$
9MacKenzie Entwistle (R)X100.007839715971598059607264564743434941620211500,000$
10Emil Heineman (R)X100.006831785078665866666869436840408128610182500,000$
11Alex Laferriere (R)X100.005025698050565376595864507240408341600182500,000$
12Damien Giroux (R)X100.006536766562566758665764536742425131600202500,000$
13Zac LeslieX100.007947748072747476547070836878563345750261800,000$
14Mikko VainonenX100.007229797172767374547364755879542546710261975,000$
15Jack Glover (R)X100.007041837471737473626577716757524446700241900,000$
16Tarmo Reunanen (R)X100.006841827672626866517263796455484350700222750,000$
17Ryan Collins (R)X100.005837707068626663497359695648483441640241500,000$
Rayé
1Troy Terry (R)X96.887332848174766680696873687850494632710231900,000$
2Francis Perron (R)X100.006340747054577374758172466546493615660241600,000$
3Quinton Byfield (R)X96.116735794786646561716176396440408333610182500,000$
4Massimo Rizzo (R)X100.005033595151604960635859355341416016530191500,000$
5Markus Niemelainen (R)X93.176347676874696962476658635446445431640221500,000$
6Mason Lohrei (R)X100.005731805964656045356144694140407215590182500,000$
7Drew Helleson (R)X100.005826836362646554325937654041415615590191500,000$
8William Wallinder (R)X100.004232676847555776367457623840407215580182500,000$
MOYENNE D’ÉQUIPE99.45663876676964686859686661604946503365
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 McCollum99.00777975777572767973797270742056750311975,000$
2Mads Sogaard100.00695769605573755451816943425560630201500,000$
Rayé
1Yaroslav Askarov (R)100.00654455776245425564547340406922550182500,000$
MOYENNE D’ÉQUIPE99.6770606671646364636371715152484664
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
1Dominic TurgeonGulls (Ana)C54315687520731291826111217.03%29120022.231019292015820241493153.83%18562216001.4512000665
2Troy TerryGulls (Ana)RW48393675718079652197011817.81%29101021.059918271330000975153.77%1064726121.4800000743
3Mikhail MaltsevGulls (Ana)LW522744713661093801796711215.08%28102419.7061218291472023673245.05%913514101.3913100523
4Henri IkonenGulls (Ana)LW59182947558011079123387614.63%25102517.3931013121300221764057.78%452125000.9200000122
5Mikko VainonenGulls (Ana)D5983543-3300681129848448.16%103157826.764913131861236221100%11834100.5400000111
6Luke KuninGulls (Ana)C51221941-22609880123437917.89%2086016.887613111260002620044.59%6282019020.9501000131
7Nick MerkleyGulls (Ana)RW592119404406754120377617.50%1389615.2063912111000051342.86%421114000.8900000212
8Calvin ThurkaufGulls (Ana)C5021194062208854103325420.39%1467213.460113271013613047.44%3901614001.1900000142
9Zac LeslieGulls (Ana)D5563137-1566011413013253554.55%93147826.89279121790113171000%03953000.5000000031
10Alex LaferriereGulls (Ana)RW5621153634803132104225720.19%762711.2021311880001134138.46%39177001.1502000144
11Francis PerronGulls (Ana)LW41102232680372588265511.36%647811.671012160221592050.00%8235001.3400000211
12Tarmo ReunanenGulls (Ana)D58222242220581017430522.70%70113619.5911241260110139000%01540000.4200000000
13Jack GloverGulls (Ana)D5922022610058867538412.67%51119520.2602251140002156000%02034000.3700000000
14MacKenzie EntwistleGulls (Ana)RW529615-5100592245152520.00%73787.2800008000000046.67%1545000.7900000001
15Pavel DorofeyevGulls (Ana)LW505813-212042166629367.58%44559.1100001000031045.45%11106000.5700000011
16Zack MacEwenGulls (Ana)RW37358-724029334217277.14%937310.0800000000060057.14%735000.4300000001
17Emil HeinemanGulls (Ana)LW46347-36047162651611.54%54299.330000230005710020.00%1045000.3300000000
18Damien GirouxGulls (Ana)C47347-2120182019121615.79%93317.05000061011571046.30%16245000.4200000000
19Ryan CollinsGulls (Ana)D53077-214014362813100%2965512.3600006000055000%0725000.2100000000
20Markus NiemelainenGulls (Ana)D59156461532462414194.17%3066411.2600005011018000%0319000.1800000000
21Drew HellesonGulls (Ana)D210551220175420%121366.510000000005000%002000.7300000000
22Quinton ByfieldGulls (Ana)C47224-8602916267187.69%54609.80000030000290044.70%21744000.1700000000
23Mason LohreiGulls (Ana)D19011520663010%3975.150000100002000%004000.2000000000
24William WallinderGulls (Ana)D19011100120000%0311.650000300000000%000000.6400000000
25Massimo RizzoGulls (Ana)C21000000100000%0190.91000000000150025.00%40000000000000
Statistiques d’équipe totales ou en moyenne11722544156692052915125312471904681110113.34%6011721814.6951801311611607791632154828850.00%3632343381340.7828100273228
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)44201650.8784.092304401571287633500.50044016103
2Mads SogaardGulls (Ana)276730.8614.421180008762731200001940001
3Yaroslav AskarovGulls (Ana)21100.8605.14700064327001.000303000
Statistiques d’équipe totales ou en moyenne73272480.8724.2235554025019579725075959104


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
Alex LaferriereGulls (Ana)RW182002-01-01USAYes175 Lbs6 ft0NoNoTrade2025-12-29NoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Calvin ThurkaufGulls (Ana)C231997-01-01CHEYes205 Lbs6 ft2NoNoTrade2025-03-19NoNo2FalseFalsePro & Farm750,000$217,456$0$0$No750,000$--------750,000$--------No--------Lien
Damien GirouxGulls (Ana)C202000-01-01CANYes179 Lbs5 ft10NoNoFree AgentNoNo22025-08-30FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------Lien
Dominic TurgeonGulls (Ana)C241996-01-01CANYes200 Lbs6 ft2NoNoTrade2025-04-15NoNo1FalseFalsePro & Farm900,000$260,947$0$0$No---------------------------Lien
Drew HellesonGulls (Ana)D192001-01-01USAYes190 Lbs6 ft3NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Emil HeinemanGulls (Ana)LW182002-01-01FINYes194 Lbs6 ft1NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Francis PerronGulls (Ana)LW241996-01-01CANYes178 Lbs6 ft2NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm600,000$173,964$0$0$No---------------------------Lien
Henri IkonenGulls (Ana)LW251995-01-01FINNo185 Lbs6 ft0NoNoFree AgentNoNo12024-10-07FalseFalsePro & Farm700,000$202,959$0$0$No---------------------------Lien
Jack GloverGulls (Ana)D241996-01-01USAYes198 Lbs6 ft3NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm900,000$260,947$0$0$No---------------------------Lien
Luke KuninGulls (Ana)C231997-01-01USAYes192 Lbs6 ft0NoNoFree AgentNoNo22025-08-30FalseFalsePro & Farm650,000$188,462$0$0$No650,000$--------650,000$--------No--------Lien
MacKenzie EntwistleGulls (Ana)RW211999-01-01CANYes184 Lbs6 ft3NoNoFree AgentNoNo12024-08-20FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Mads SogaardGulls (Ana)G202000-01-01DNKNo196 Lbs6 ft7NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Markus NiemelainenGulls (Ana)D221998-01-01FINYes201 Lbs6 ft5NoNoTrade2024-08-03NoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Mason LohreiGulls (Ana)D182002-01-01USAYes220 Lbs6 ft5NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Massimo RizzoGulls (Ana)C192001-01-01CANYes181 Lbs5 ft11NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Mikhail MaltsevGulls (Ana)LW221998-01-01RUSYes220 Lbs6 ft3NoNoFree AgentNoNo32025-08-30FalseFalsePro & Farm700,000$202,959$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$282,692$0$0$No---------------------------Lien
Nick MerkleyGulls (Ana)RW231997-01-01CANYes194 Lbs5 ft10NoNoTrade2024-09-01NoNo1FalseFalsePro & Farm650,000$188,462$0$0$No---------------------------Lien
Pavel DorofeyevGulls (Ana)LW202000-01-01RUSYes194 Lbs6 ft1NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Quinton ByfieldGulls (Ana)C182002-01-01CANYes220 Lbs6 ft5NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Ryan CollinsGulls (Ana)D241996-01-01USAYes204 Lbs6 ft5NoNoFree AgentNoNo12025-08-30FalseFalsePro & Farm500,000$144,970$0$0$No---------------------------Lien
Tarmo ReunanenGulls (Ana)D221998-01-01FINYes179 Lbs6 ft0NoNoTrade2024-07-10NoNo2FalseFalsePro & Farm750,000$217,456$0$0$No750,000$--------750,000$--------No--------Lien
Thomas McCollumGulls (Ana)G311989-01-01USANo215 Lbs6 ft2NoNoFree Agent2025-03-30NoNo12025-10-23FalseFalsePro & Farm975,000$282,692$0$0$No---------------------------Lien
Troy TerryGulls (Ana)RW231997-01-01USAYes180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$260,947$0$0$No---------------------------Lien
William WallinderGulls (Ana)D182002-01-01SWEYes191 Lbs6 ft4NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Yaroslav AskarovGulls (Ana)G182002-01-01RUSYes176 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$144,970$0$0$No500,000$--------500,000$--------No--------
Zac LeslieGulls (Ana)D261994-01-01CANNo185 Lbs6 ft0NoNoTrade2025-09-02NoNo12024-10-18FalseFalsePro & Farm800,000$231,953$0$0$No---------------------------Lien
Zack MacEwenGulls (Ana)RW241996-01-01CANYes205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm600,000$173,964$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2821.89195 Lbs6 ft21.43637,500$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikhail MaltsevDominic TurgeonAlex Laferriere40023
2Henri IkonenLuke KuninNick Merkley30023
3Emil HeinemanCalvin ThurkaufZack MacEwen20023
4Pavel DorofeyevDamien GirouxMacKenzie Entwistle10023
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zac LeslieMikko Vainonen40023
2Tarmo ReunanenJack Glover30023
3Ryan Collins20023
4Zac LeslieMikko Vainonen10023
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mikhail MaltsevDominic TurgeonAlex Laferriere60014
2Henri IkonenLuke KuninNick Merkley40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zac LeslieMikko Vainonen60014
2Tarmo ReunanenJack Glover40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Damien GirouxEmil Heineman60122
2Luke KuninMikhail Maltsev40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zac LeslieMikko Vainonen60122
2Tarmo ReunanenJack Glover40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dominic Turgeon60122Zac LeslieMikko Vainonen60122
2Damien Giroux40122Tarmo ReunanenJack Glover40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dominic TurgeonHenri Ikonen60122
2Mikhail MaltsevLuke Kunin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Zac LeslieMikko Vainonen60122
2Tarmo ReunanenJack Glover40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikhail MaltsevDominic TurgeonAlex LaferriereZac LeslieMikko Vainonen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikhail MaltsevDominic TurgeonAlex LaferriereZac LeslieMikko Vainonen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alex Laferriere, Dominic Turgeon, Calvin ThurkaufAlex Laferriere, Dominic TurgeonCalvin Thurkauf
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Zac Leslie, Ryan Collins, Zac LeslieRyan Collins,
Tirs de pénalité
Dominic Turgeon, Alex Laferriere, Mikhail Maltsev, Luke Kunin, Calvin Thurkauf
Gardien
#1 : Thomas McCollum, #2 : Mads Sogaard
Lignes d’attaque personnalisées en prolongation
Dominic Turgeon, Alex Laferriere, Mikhail Maltsev, Luke Kunin, Calvin Thurkauf, Nick Merkley, Henri Ikonen, Emil Heineman, Pavel Dorofeyev, Zack MacEwen
Lignes de défense personnalisées en prolongation
Zac Leslie, Mikko Vainonen, Tarmo Reunanen, Jack Glover, 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
1Admirals220000001046110000005141100000053241.00010162600637511256860863765815552010478225.00%5260.00%0638126650.39%676133550.64%499100749.55%123068212715511060524
2Barracuda202000001013-31010000068-21010000045-100.00010192900637511255860863765815781835509444.44%16568.75%0638126650.39%676133550.64%499100749.55%123068212715511060524
3Bears1000010023-11000010023-10000000000010.500235006375112528608637658153081018100.00%50100.00%0638126650.39%676133550.64%499100749.55%123068212715511060524
4Canucks21000100990000000000002100010099030.7509162500637511255960863765815701422364125.00%11372.73%0638126650.39%676133550.64%499100749.55%123068212715511060524
5Checkers63201000302553210000018126311010001213-180.667305282006375112518160863765815205585814327518.52%29582.76%1638126650.39%676133550.64%499100749.55%123068212715511060524
6Comets3210000013103211000009811100000042240.667132134006375112592608637658151033432563133.33%16287.50%0638126650.39%676133550.64%499100749.55%123068212715511060524
7Condors1010000058-31010000058-30000000000000.00058130063751125316086376581540118184125.00%40100.00%0638126650.39%676133550.64%499100749.55%123068212715511060524
8Crunch33000000166101100000041322000000125761.000162743006375112510460863765815803620597457.14%100100.00%1638126650.39%676133550.64%499100749.55%123068212715511060524
9Eagles312000001115-42110000069-31010000056-120.33311182900637511251026086376581510028247417211.76%12375.00%0638126650.39%676133550.64%499100749.55%123068212715511060524
10Firebirds623001002427-3312000001091311001001418-450.417243761006375112519360863765815222695211321523.81%27870.37%1638126650.39%676133550.64%499100749.55%123068212715511060524
11Griffins1010000024-21010000024-20000000000000.000246006375112530608637658153691025400.00%50100.00%0638126650.39%676133550.64%499100749.55%123068212715511060524
12Icehogs1000010045-1000000000001000010045-110.500461000637511253060863765815351310186116.67%5260.00%0638126650.39%676133550.64%499100749.55%123068212715511060524
13Islander2020000039-61010000014-31010000025-300.0003690063751125646086376581577331033200.00%50100.00%0638126650.39%676133550.64%499100749.55%123068212715511060524
14Little Stars2100001014104100000108711100000063341.00014223600637511257760863765815661523367457.14%9188.89%0638126650.39%676133550.64%499100749.55%123068212715511060524
15Marlies20100100810-20000000000020100100810-210.2508111900637511257260863765815582418368112.50%9277.78%0638126650.39%676133550.64%499100749.55%123068212715511060524
16Moose2110000010911010000045-11100000064220.50010152500637511257460863765815652328379444.44%14285.71%2638126650.39%676133550.64%499100749.55%123068212715511060524
17Penguins4120100015132211000007432010100089-140.500152338006375112511760863765815124384310218422.22%15380.00%0638126650.39%676133550.64%499100749.55%123068212715511060524
18Punishers11000000413000000000001100000041321.0004711006375112529608637658152674185120.00%20100.00%0638126650.39%676133550.64%499100749.55%123068212715511060524
19Roadrunners21100000651110000004221010000023-120.50061218006375112556608637658156419448800.00%2150.00%0638126650.39%676133550.64%499100749.55%123068212715511060524
20Rockets20100100811-31000010078-11010000013-210.25081523006375112565608637658155931124711218.18%6350.00%0638126650.39%676133550.64%499100749.55%123068212715511060524
21Senators311001001415-11000010056-12110000099030.5001425390063751125117608637658151142416638225.00%8275.00%0638126650.39%676133550.64%499100749.55%123068212715511060524
22Thunderbirds412010001621-5311010001115-41010000056-140.50016254100637511251166086376581513241428312325.00%21576.19%1638126650.39%676133550.64%499100749.55%123068212715511060524
23Wolfpack2100000110731000000134-11100000073430.750101828006375112570608637658155829185110220.00%9277.78%1638126650.39%676133550.64%499100749.55%123068212715511060524
24Wranglers211000001011-11010000048-41100000063320.50010162600637511257860863765815601214456466.67%7271.43%0638126650.39%676133550.64%499100749.55%123068212715511060524
Total59232403711254251329101301311121126-5301311024001331258620.5252544226760063751125191160863765815195761452312562155324.65%2525378.97%7638126650.39%676133550.64%499100749.55%123068212715511060524
_Since Last GM Reset59232403711254251329101301311121126-5301311024001331258620.5252544226760063751125191160863765815195761452312562155324.65%2525378.97%7638126650.39%676133550.64%499100749.55%123068212715511060524
_Vs Conference3614160230115715251879001017675118770220081774360.500157261418006375112511626086376581511833863368011413424.11%1613578.26%4638126650.39%676133550.64%499100749.55%123068212715511060524
_Vs Division1667021006965484400000352510823021003440-6170.53169112181006375112549160863765815551165153358661421.21%711677.46%2638126650.39%676133550.64%499100749.55%123068212715511060524

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5962L225442267619111957614523125600
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5923243711254251
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2910131311121126
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3013112400133125
Derniers 10 matchs
WLOTWOTL SOWSOL
440011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2155324.65%2525378.97%7
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
6086376581563751125
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
638126650.39%676133550.64%499100749.55%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
123068212715511060524


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
34206Checkers3Gulls5WSommaire du match
36220Gulls5Canucks6LXSommaire du match
38230Firebirds4Gulls3LSommaire du match
40245Gulls6Wranglers3WSommaire du match
42252Gulls5Thunderbirds6LSommaire du match
43258Islander4Gulls1LSommaire du match
46281Comets4Gulls2LSommaire du match
48294Gulls6Marlies7LSommaire du match
50304Checkers8Gulls5LSommaire du match
52319Gulls2Roadrunners3LSommaire du match
54330Admirals1Gulls5WSommaire du match
56342Gulls4Comets2WSommaire du match
58356Gulls6Moose4WSommaire du match
59364Wranglers8Gulls4LSommaire du match
61376Gulls4Icehogs5LXSommaire du match
63388Eagles1Gulls2WSommaire du match
65401Gulls4Punishers1WSommaire du match
66413Condors8Gulls5LR1Sommaire du match
69430Gulls2Marlies3LXSommaire du match
70440Rockets8Gulls7LXSommaire du match
72455Gulls6Little Stars3WSommaire du match
74464Gulls7Senators5WSommaire du match
75468Crunch1Gulls4WSommaire du match
78485Gulls2Senators4LSommaire du match
79493Griffins4Gulls2LR1Sommaire du match
82515Firebirds3Gulls2LSommaire du match
84523Gulls3Firebirds7LSommaire du match
87542Bears3Gulls2LXSommaire du match
89560Gulls5Eagles6LSommaire du match
91568Moose5Gulls4LSommaire du match
93584Gulls2Islander5LSommaire du match
94593Senators6Gulls5LXSommaire du match
97609Gulls5Checkers4WXSommaire du match
99619Thunderbirds10Gulls2LSommaire du match
102644Gulls5Admirals3WSommaire du match
103649Thunderbirds2Gulls5WSommaire du match
105668Roadrunners2Gulls4WSommaire du match
109689Gulls4Canucks3WSommaire du match
110697Wolfpack4Gulls3LXXSommaire du match
112708Gulls1Rockets3LSommaire du match
115722Little Stars7Gulls8WXXSommaire du match
117739Barracuda8Gulls6LR1Sommaire du match
119748Gulls4Barracuda5LSommaire du match
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
Assistance53,44826,712
Assistance PCT92.15%92.11%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
11 2764 - 92.14% 174,149$5,050,330$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,828,857$ 1,785,000$ 1,785,000$ 800,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,562$ 1,239,715$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
1,915,642$ 49 15,296$ 749,504$




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