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Gulls
GP: 7 | W: 3 | L: 4
GF: 17 | GA: 22 | PP%: 27.27% | PK%: 82.35%
DG: Roger Storoschuk | Morale : 27 | Moyenne d’équipe : 60

Centre de jeu
Rocket
9-7-0, 18pts
4
2 Gulls
3-4-0, 6pts
Team Stats
L1SéquenceL4
5-3-0Fiche domicile1-2-0
4-4-0Fiche domicile2-2-0
6-4-0Derniers 10 matchs3-4-0
3.31Buts par match 2.43
2.81Buts contre par match 3.14
29.41%Pourcentage en avantage numérique27.27%
80.43%Pourcentage en désavantage numérique82.35%
Gulls
3-4-0, 6pts
1
3 Rocket
9-7-0, 18pts
Team Stats
L4SéquenceL1
1-2-0Fiche domicile5-3-0
2-2-0Fiche domicile4-4-0
3-4-0Derniers 10 matchs6-4-0
2.43Buts par match 3.31
3.14Buts contre par match 2.81
27.27%Pourcentage en avantage numérique29.41%
82.35%Pourcentage en désavantage numérique80.43%
Meneurs d'équipe
Ryan LombergButs
Ryan Lomberg
4
Passes
Cole Smith
7
Points
Cole Smith
9
Dysin MayoPlus/Moins
Dysin Mayo
1
Victoires
Spencer Knight
3
Pourcentage d’arrêts
Spencer Knight
0.913

Statistiques d’équipe
Buts pour
17
2.43 GFG
Tirs pour
154
22.00 Avg
Pourcentage en avantage numérique
27.3%
6 GF
Début de zone offensive
31.7%
Buts contre
22
3.14 GAA
Tirs contre
254
36.29 Avg
Pourcentage en désavantage numérique
82.4%%
3 GA
Début de la zone défensive
45.3%
Informations de l'équipe

Directeur généralRoger Storoschuk
EntraîneurRick Tocchet
DivisionDivision 1
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,213
Billets de saison1,500


Informations de la formation

Équipe Pro26
Équipe Mineure18
Limite contact 44 / 100
Espoirs70


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
1Cole SmithXX100.0089957279776588654964618125676863836803032,500,000$
2Mikael Pyyhtia (R)X100.006541968768629062555861742555556180650241897,500$
3Ryan LombergXX100.0080948082665297633363606625707261826503131,500,000$
4Sam LaffertyXXX100.0080458783765577625757596625707260806403122,200,000$
5Dakota JoshuaXXX100.009870826978637463546062662567686371640301900,000$
6Bradly Nadeau (R)X100.0070638474667982655061686066474764806302131,422,000$
7Jared DavidsonX100.007267797170798461785565596247476082620243842,000$
8Cole Schwindt (R)X100.007444998077546159686356632550506080610251934,000$
9Ryder RolstonX100.008075946877555459505558645646465952590241825,000$
10Rhett Pitlick (R)XXX100.0072629981633732577367445942474753805702531,352,000$
11Brandon CoeX100.007674866576525347504745594547475154530241925,000$
12Julian Lutz (R)X100.0076729466754848475046435943474751795302231,258,000$
13Riley Hughes (R)XXX100.0077728762724342486146466144454552315202631,319,000$
14Jan RuttaX100.0069438585767271642553538425727559807103522,900,000$
15Matt GrzelcykX100.0063419572658199732567477025757961786903221,800,000$
16Connor MackeyX100.0074815867817784512544425940505050786102911,319,000$
17Elias Salomonsson (R)X100.0074708769736568522548425940474751785902131,284,000$
18Dysin MayoX100.0069706265706873532542495946474750785802921,934,000$
19Marek Alscher (R)X100.0075748166776469452535395938474747815702231,286,000$
Rayé
1Francesco Arcuri (R)X100.0075748682764546425536425942464648585202331,268,000$
2Kyle Masters (R)X100.0074669562673837462535415939454549205202331,037,000$
MOYENNE D’ÉQUIPE100.00756685737360685646525264385455567160
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Spencer Knight100.006968667873677469726761585966896802522,472,000$
2Will Cranley (R)100.004440507845904650918145444459806002431,075,000$
Rayé
1Brett Brochu (R)100.004440506345894549908145444460215802331,000,000$
2Devin Cooley100.005240508257565157585730444454225502921,750,000$
3Vadim Zherenko100.00495063844950505550503044445122530251846,667$
MOYENNE D’ÉQUIPE100.0052485677547053567267424747584759
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Tocchet83788383848476CAN5445,000,000$


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
1Cole SmithGulls (ANA)LW/RW7279-220176225189.09%415321.92145518000000055.56%944001.1700000011
2Jared DavidsonGulls (ANA)C7358-2551410162518.75%618426.382355180000160048.28%2915000.8700100010
3Bradly NadeauGulls (ANA)LW7145-4759992411.11%315121.591233170001120034.29%3533000.6600001000
4Sam LaffertyGulls (ANA)C/LW/RW7235-155723198410.53%214821.2600012000080057.27%11042000.6700001200
5Dysin MayoGulls (ANA)D71451120101711139.09%1220729.69011119000010100%017000.4800000011
6Ryan LombergGulls (ANA)LW/RW7415-57510161911621.05%617224.600001130000130040.30%6756000.5800100011
7Jan RuttaGulls (ANA)D7213-320712141614.29%2018626.59202319000015000%048000.3200000000
8Mikael PyyhtiaGulls (ANA)LW7033-40041019960%616423.47000214000080057.14%7035000.3700000000
9Rhett PitlickGulls (ANA)C/LW/RW7112-1009563616.67%211316.28000313000001060.00%1531000.3500000000
10Dakota JoshuaGulls (ANA)C/LW/RW7101-2006880112.50%311115.9400010000001051.35%3742000.1800000000
11Elias SalomonssonGulls (ANA)D7011-52610485410%815321.9200011300004000%001000.1300011000
12Marek AlscherGulls (ANA)D7011-120172100%313419.17011014000116000%014000.1500000000
13Matt GrzelcykGulls (ANA)D7000-200110000%1517.300000000008000%00100000000000
14Connor MackeyGulls (ANA)D7000-66010162120%714520.820000000003000%00400000000000
15Brandon CoeGulls (ANA)RW7000-200340010%0314.510000000000000%00100000000000
16Ryder RolstonGulls (ANA)RW7000000000000%020.300000000000000%00000000000000
17Julian LutzGulls (ANA)LW7000-100301000%0233.40000000000000100.00%20000000000000
18Riley HughesGulls (ANA)C/LW/RW7000000411110%0284.1200000000000025.00%80000000000000
19Cole SchwindtGulls (ANA)RW7000000000000%000.040000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne133173148-407430119153154397411.04%83216516.28611172616800021193050.52%3823354000.4400213243
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Spencer KnightGulls (ANA)73400.9133.014380022254130000070000
Statistiques d’équipe totales ou en moyenne73400.9133.01438002225413000070000


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
Bradly NadeauGulls (ANA)LW212005-05-05CANYes172 Lbs5 ft11NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,422,000$0$0$No1,422,000$1,422,000$-------1,422,000$1,422,000$-------NoNo-------Lien
Brandon CoeGulls (ANA)RW242001-12-01CANNo190 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Brett BrochuGulls (ANA)G232002-09-09CANYes176 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,000,000$0$0$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Lien
Cole SchwindtGulls (ANA)RW252001-04-25CANYes203 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm934,000$0$0$No---------------------------Lien
Cole SmithGulls (ANA)LW/RW301995-10-28USANo195 Lbs6 ft3NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,500,000$0$0$No2,500,000$2,500,000$-------2,500,000$2,500,000$-------NoNo-------Lien
Connor MackeyGulls (ANA)D291996-09-12USANo205 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm1,319,000$0$0$No---------------------------Lien
Dakota JoshuaGulls (ANA)C/LW/RW301996-05-15USANo206 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Devin CooleyGulls (ANA)G291997-05-25USANo188 Lbs6 ft5NoNoAssign ManuallyNoNo22024-09-10FalseFalsePro & Farm1,750,000$0$0$No1,750,000$--------1,750,000$--------No--------Lien
Dysin MayoGulls (ANA)D291996-08-17CANNo190 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,934,000$0$0$No1,934,000$--------1,934,000$--------No--------Lien / Lien NHL
Elias SalomonssonGulls (ANA)D212004-08-31SWEYes189 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,284,000$0$0$No1,284,000$1,284,000$-------1,284,000$1,284,000$-------NoNo-------Lien
Francesco ArcuriGulls (ANA)C232003-06-13CANYes200 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,268,000$0$0$No1,268,000$1,268,000$-------1,268,000$1,268,000$-------NoNo-------Lien
Jan RuttaGulls (ANA)D351990-07-29CZENo204 Lbs6 ft3NoNoAssign ManuallyNoNo22024-09-16FalseFalsePro & Farm2,900,000$0$0$No2,900,000$--------2,900,000$--------No--------Lien / Lien NHL
Jared DavidsonGulls (ANA)C242002-07-07CANNo183 Lbs6 ft0NoNoN/ANoNo32025-05-01FalseFalsePro & Farm842,000$0$0$No842,000$842,000$-------842,000$842,000$-------NoNo-------Lien
Julian LutzGulls (ANA)LW222004-02-29GERYes192 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,258,000$0$0$No1,258,000$1,258,000$-------1,258,000$1,258,000$-------NoNo-------Lien
Kyle MastersGulls (ANA)D232003-04-09ABYes175 Lbs6 ft1NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,037,000$0$0$No1,037,000$1,037,000$-------1,037,000$1,037,000$-------NoNo-------Lien
Marek AlscherGulls (ANA)D222004-04-07CZEYes196 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,286,000$0$0$No1,286,000$1,286,000$-------1,286,000$1,286,000$-------NoNo-------Lien
Matt GrzelcykGulls (ANA)D321994-01-05USANo180 Lbs5 ft10NoNoAssign ManuallyNoNo22024-09-10FalseFalsePro & Farm1,800,000$0$0$No1,800,000$--------1,800,000$--------No--------Lien / Lien NHL
Mikael PyyhtiaGulls (ANA)LW242001-12-17FINYes176 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm897,500$0$0$No---------------------------Lien
Rhett PitlickGulls (ANA)C/LW/RW252001-02-07USAYes170 Lbs5 ft10NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,352,000$0$0$No1,352,000$1,352,000$-------1,352,000$1,352,000$-------NoNo-------Lien
Riley HughesGulls (ANA)C/LW/RW262000-06-27USAYes194 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,319,000$0$0$No1,319,000$1,319,000$-------1,319,000$1,319,000$-------NoNo-------Lien
Ryan LombergGulls (ANA)LW/RW311994-12-09CANNo184 Lbs5 ft9NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------Lien / Lien NHL
Ryder RolstonGulls (ANA)RW242001-10-31USANo200 Lbs6 ft2NoNoN/ANoNo12025-05-01FalseFalsePro & Farm825,000$0$0$No---------------------------Lien
Sam LaffertyGulls (ANA)C/LW/RW311995-03-06USANo205 Lbs6 ft2NoNoAssign ManuallyNoNo22024-09-10FalseFalsePro & Farm2,200,000$0$0$No2,200,000$--------2,200,000$--------No--------Lien / Lien NHL
Spencer KnightGulls (ANA)G252001-04-19USANo191 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm2,472,000$0$0$No2,472,000$--------925,000$--------No--------Lien
Vadim ZherenkoGulls (ANA)G252001-03-15RUSNo207 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm846,667$0$0$No---------------------------Lien
Will CranleyGulls (ANA)G242002-02-26CANYes185 Lbs6 ft4NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,075,000$0$0$No1,075,000$1,075,000$-------1,075,000$1,075,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2626.04191 Lbs6 ft22.231,417,160$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jared DavidsonSam LaffertyCole Smith40122
2Ryan LombergMikael PyyhtiaBradly Nadeau30122
3Mikael PyyhtiaRyan LombergJared Davidson20122
4Ryan LombergDakota JoshuaRhett Pitlick10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jan RuttaDysin Mayo35122
2Connor MackeyElias Salomonsson30122
3Marek AlscherDysin Mayo25122
4Dysin MayoJan Rutta10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jared DavidsonBradly NadeauCole Smith60122
2Mikael PyyhtiaRhett PitlickRyan Lomberg40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jan RuttaDysin Mayo60122
2Marek AlscherElias Salomonsson40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jared DavidsonRyan Lomberg60122
2Mikael PyyhtiaBradly Nadeau40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Marek AlscherDysin Mayo60122
2Jan RuttaElias Salomonsson40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Ryan Lomberg60122Jan RuttaDysin Mayo60122
2Mikael Pyyhtia40122Marek AlscherElias Salomonsson40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Ryan LombergRhett Pitlick60122
2Mikael PyyhtiaJared Davidson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dysin MayoMarek Alscher60122
2Elias SalomonssonJan Rutta40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikael PyyhtiaRyan LombergCole SmithJan RuttaConnor Mackey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mikael PyyhtiaRyan LombergCole SmithJan RuttaConnor Mackey
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ryan Lomberg, Mikael Pyyhtia, Rhett PitlickRyan Lomberg, Mikael PyyhtiaRyan Lomberg
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Marek Alscher, Jan Rutta, Dysin MayoDysin MayoJan Rutta, Dysin Mayo
Tirs de pénalité
Jared Davidson, Bradly Nadeau, Rhett Pitlick, Ryan Lomberg, Mikael Pyyhtia
Gardien
#1 : Spencer Knight, #2 : Will Cranley


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
1Rocket734000001722-531200000812-442200000910-160.42917314800195215433555511254837411922627.27%17382.35%05812147.93%8917351.45%468852.27%126491537315884
Total734000001722-531200000812-442200000910-160.42917314800195215433555511254837411922627.27%17382.35%05812147.93%8917351.45%468852.27%126491537315884
_Since Last GM Reset734000001722-531200000812-442200000910-160.42917314800195215433555511254837411922627.27%17382.35%05812147.93%8917351.45%468852.27%126491537315884
_Vs Conference734000001722-531200000812-442200000910-160.42917314800195215433555511254837411922627.27%17382.35%05812147.93%8917351.45%468852.27%126491537315884

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76L4173148154254837411900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400001722
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3120000812
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4220000910
Derniers 10 matchs
WLOTWOTL SOWSOL
340000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
22627.27%17382.35%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
335555111952
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
5812147.93%8917351.45%468852.27%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
126491537315884


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
13Gulls2Rocket1WSommaire du match
311Gulls3Rocket2WXSommaire du match
519Rocket4Gulls5WXSommaire du match
727Rocket4Gulls1LSommaire du match
935Gulls3Rocket4LSommaire du match
1143Rocket4Gulls2LSommaire du match
1351Gulls1Rocket3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance4,5142,125
Assistance PCT75.23%70.83%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 2213 - 73.77% 110,786$332,359$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,684,617$ 3,684,617$ 5,000,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




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