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Phantoms
GP: 4 | W: 0 | L: 4
GF: 12 | GA: 20 | PP%: 0.00% | PK%: 55.56%
DG: Richard Duguay | Morale : 50 | Moyenne d’équipe : 63

Centre de jeu
Oceanics
14-7-0, 28pts
3
FINAL
2 Phantoms
0-4-0, 0pts
Team Stats
L1SéquenceL4
9-2-0Fiche domicile0-2-0
5-5-0Fiche domicile0-2-0
5-5-0Derniers 10 matchs0-4-0
4.67Buts par match 3.00
4.33Buts contre par match 5.00
32.76%Pourcentage en avantage numérique0.00%
70.83%Pourcentage en désavantage numérique55.56%
Oceanics
14-7-0, 28pts
5
FINAL
3 Phantoms
0-4-0, 0pts
Team Stats
L1SéquenceL4
9-2-0Fiche domicile0-2-0
5-5-0Fiche domicile0-2-0
5-5-0Derniers 10 matchs0-4-0
4.67Buts par match 3.00
4.33Buts contre par match 5.00
32.76%Pourcentage en avantage numérique0.00%
70.83%Pourcentage en désavantage numérique55.56%
Meneurs d'équipe
Buts
Alexander Nylander
4
Passes
Oliver Wahlstrom
5
Points
Oliver Wahlstrom
7
Plus/Moins
Alexander Nylander
5
Victoires
Devon Levi
0
Pourcentage d’arrêts
Devon Levi
0.857

Statistiques d’équipe
Buts pour
12
3.00 GFG
Tirs pour
117
29.25 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
38.8%
Buts contre
20
5.00 GAA
Tirs contre
131
32.75 Avg
Pourcentage en désavantage numérique
55.6%%
4 GA
Début de la zone défensive
33.1%
Informations de l'équipe

Directeur généralRichard Duguay
DivisionNord-Est
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,996
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure20
Limite contact 43 / 50
Espoirs16


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
1Jesse PuljujarviX100.0077478073848081724066656770796905069X0251900,000$
2Oliver WahlstromX100.0071487474848275715066656670685805068X02321,000,000$
3Brendan LemieuxXX100.0079755671847779695264636668766605068N0273780,000$
4Alexander NylanderXX100.0058417973747873704864686270696205067X0251800,000$
5Jayson MegnaXXX100.00634277716574766768656068667466050660332560,000$
6Tanner LaczynskiXX100.0063437371677167654863596565565105063X0262775,000$
7Trey Fix-WolanskyX100.00594464726066646746656363675350050630241809,166$
8Frank Nazar (R)XX100.00574070707078606446606162655150050620193950,000$
9Nicholas Abruzzese (R)XX100.00584172705867666544655959655250050610242850,000$
10Josiah SlavinX100.00594468646467666142585558605350050590242600,000$
11Elliot Desnoyers (R)XX100.00594171666363626242615655625050050590212825,000$
12Ryder Rolston (R)XXX100.0062407062646362614156575660505005058X0213895,000$
13Kevin Korchinski (R)X100.00634380707478707140676663695350050660193918,333$
14Dennis CholowskiX100.00574272666667656540635563635450050610251850,000$
15Mac HollowellX100.00554664725565636340635366625350050610251799,766$
16Topi Niemela (R)X100.00584267716062606240605765645050050610212856,667$
17Tobias BjornfotX100.0063417367676361584053536359525005060X0223800,000$
Rayé
1Andrei AltybarmakianX100.00616968616947475248484658474444050530251650,000$
MOYENNE D’ÉQUIPE100.0062467169686967654562596364585405063
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
1Devon Levi (R)100.0079737376767574747576745651050680212925,000$
2Chris Driedger100.007570716972737373737371655805066N02941,000,000$
Rayé
1Pavel Francouz100.00736765646971717271696970600506403341,200,000$
2Vadim Zherenko (R)100.0070626365676669666767575150050610222846,667$
3Cooper Black (R)100.0058575771605655545558545150050540223950,000$
MOYENNE D’ÉQUIPE100.007166666969686868686965595405063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Oliver WahlstromPhantoms (Phi)RW425740066102620.00%16716.88000050000000100.00%100002.0700000000
2Alexander NylanderPhantoms (Phi)LW/RW4437500691361030.77%16917.3800015000020033.33%631002.0100000101
3Jayson MegnaPhantoms (Phi)C/LW/RW4224-300561241316.67%38320.7600006000000049.17%12041000.9600000000
4Tanner LaczynskiPhantoms (Phi)C/RW42244205582425.00%36616.5900005000000036.36%4422001.2100000000
5Jesse PuljujarviPhantoms (Phi)RW4213-35537266137.69%48621.6000056000040031.25%1652000.6900001000
6Mac HollowellPhantoms (Phi)D4033-100673200%67619.180000400003000%002000.7800000000
7Brendan LemieuxPhantoms (Phi)LW/RW4022-41610127104130%38421.1100016000040066.67%938000.4700002000
8Kevin KorchinskiPhantoms (Phi)D4022-520386330%610726.860000600004000%033000.3700000000
9Dennis CholowskiPhantoms (Phi)D4011-100442200%37919.800000400003000%003000.2500000000
10Josiah SlavinPhantoms (Phi)LW4011100454310%47218.1000000000000033.33%320000.2800000000
11Topi NiemelaPhantoms (Phi)D4011-540646340%910626.700000600004000%006000.1900000000
12Tobias BjornfotPhantoms (Phi)D4000300023110%15413.590000000000000%01300000000000
13Trey Fix-WolanskyPhantoms (Phi)RW4000-420574560%05614.0900000000000033.33%33000000000000
14Nicholas AbruzzesePhantoms (Phi)C/LW4000-400424440%15513.9300000000040075.00%40000000000000
15Elliot DesnoyersPhantoms (Phi)C/LW4000-200322100%0348.6300000000000080.00%150100000000000
16Frank NazarPhantoms (Phi)C/RW4000-320951530%15012.6300000000010037.50%240100000000000
17Ryder RolstonPhantoms (Phi)C/LW/RW4000-200303200%1348.660000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne68122335-2033158486117558110.26%47118617.440007580000360046.94%2452633000.5900003101
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
1Chris DriedgerPhantoms (Phi)10000.7503.751600141000004000
2Devon LeviPhantoms (Phi)40400.8574.84223001812662010040000
Statistiques d’équipe totales ou en moyenne50400.8544.7723900191306301044000


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 Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alexander NylanderPhantoms (Phi)LW/RW251998-03-02CANNo192 Lbs6 ft1NoYesN/AYesNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Andrei Altybarmakian (contrat à 1 volet)Phantoms (Phi)LW251998-08-04RUSNo192 Lbs5 ft11NoNoTrade2025-02-24YesNo12024-08-31FalseFalsePro & Farm650,000$0$0$No---------------------------Lien
Brendan Lemieux (contrat à 1 volet)Phantoms (Phi)LW/RW271996-03-15USANo215 Lbs6 ft1YesNoFree AgentYesNo32024-09-23FalseFalsePro & Farm780,000$0$0$No780,000$780,000$-------780,000$780,000$-------YesYes-------Lien
Chris Driedger (contrat à 1 volet)Phantoms (Phi)G291994-05-18CANNo207 Lbs6 ft4YesNoFree AgentYesNo42024-09-23FalseFalsePro & Farm1,000,000$80,000$4,898$No1,000,000$1,000,000$1,000,000$------1,000,000$1,000,000$1,000,000$------YesYesYes------Lien
Cooper BlackPhantoms (Phi)G222001-06-14USAYes223 Lbs6 ft8NoNoDraftNoNo32024-06-25FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Dennis CholowskiPhantoms (Phi)D251998-02-15CANNo210 Lbs6 ft2NoNoWaiverYesNo12024-09-11FalseFalsePro & Farm850,000$0$0$No---------------------------Lien
Devon LeviPhantoms (Phi)G212001-12-27CANYes192 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien
Elliot DesnoyersPhantoms (Phi)C/LW212002-01-21CANYes186 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------Lien
Frank NazarPhantoms (Phi)C/RW192004-01-14USAYes175 Lbs5 ft9NoNoProspectNoNo32024-06-25FalseFalsePro & Farm950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien
Jayson Megna (contrat à 1 volet)Phantoms (Phi)C/LW/RW331990-02-01USANo190 Lbs6 ft0NoNoTrade2025-02-21YesNo2FalseFalsePro & Farm560,000$0$0$No560,000$--------560,000$--------No--------Lien
Jesse Puljujarvi (contrat à 1 volet)Phantoms (Phi)RW251998-05-07SWENo201 Lbs6 ft4NoYesWaiver2024-09-19YesNo12024-09-06FalseFalsePro & Farm900,000$0$0$No---------------------------Lien
Josiah SlavinPhantoms (Phi)LW241998-12-31USANo190 Lbs6 ft3NoNoN/AYesNo2FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------Lien
Kevin KorchinskiPhantoms (Phi)D192004-06-21CANYes185 Lbs6 ft1NoNoProspectNoNo32024-06-25FalseFalsePro & Farm918,333$0$0$No918,333$918,333$-------918,333$918,333$-------NoNo-------Lien
Mac HollowellPhantoms (Phi)D251998-09-26CANNo170 Lbs5 ft9NoNoN/AYesNo1FalseFalsePro & Farm799,766$0$0$No---------------------------Lien
Nicholas AbruzzesePhantoms (Phi)C/LW241999-06-04USAYes180 Lbs5 ft11NoNoTrade2024-10-17YesNo2FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------Lien
Oliver WahlstromPhantoms (Phi)RW232000-06-13USANo200 Lbs6 ft2NoYesFree AgentNoNo22024-09-11FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Pavel Francouz (contrat à 1 volet)Phantoms (Phi)G331990-06-03CZENo179 Lbs6 ft0NoNoTrade2025-02-21YesNo4FalseFalsePro & Farm1,200,000$280,000$17,143$No1,200,000$1,200,000$1,200,000$------1,200,000$1,200,000$1,200,000$------NoNoNo------Lien
Ryder RolstonPhantoms (Phi)C/LW/RW212001-10-31USAYes200 Lbs6 ft2NoYesProspectNoNo32024-06-25FalseFalsePro & Farm895,000$0$0$No895,000$895,000$-------895,000$895,000$-------NoNo-------Lien
Tanner LaczynskiPhantoms (Phi)C/RW261997-06-01USANo190 Lbs6 ft1NoYesN/AYesNo2FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Lien
Tobias BjornfotPhantoms (Phi)D222001-04-06SWENo200 Lbs6 ft0NoYesFree Agent2024-06-23NoNo32024-08-31FalseFalsePro & Farm800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------Lien
Topi NiemelaPhantoms (Phi)D212002-03-25FINYes179 Lbs6 ft0NoNoTrade2024-01-24NoNo2FalseFalsePro & Farm856,667$0$0$No856,667$--------856,667$--------No--------Lien
Trey Fix-WolanskyPhantoms (Phi)RW241999-05-26CANNo198 Lbs5 ft7NoNoN/AYesNo1FalseFalsePro & Farm809,166$0$0$No---------------------------Lien
Vadim ZherenkoPhantoms (Phi)G222001-03-15RUSYes196 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm846,667$0$0$No846,667$--------846,667$--------No--------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2324.17193 Lbs6 ft12.17849,591$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan LemieuxJayson MegnaJesse Puljujarvi40122
2Alexander NylanderTanner LaczynskiOliver Wahlstrom30122
3Nicholas AbruzzeseFrank NazarTrey Fix-Wolansky20122
4Josiah SlavinElliot DesnoyersRyder Rolston10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin KorchinskiTopi Niemela40122
2Mac HollowellDennis Cholowski30122
3Tobias BjornfotJosiah Slavin20122
4Kevin KorchinskiTopi Niemela10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan LemieuxJayson MegnaJesse Puljujarvi60122
2Alexander NylanderTanner LaczynskiOliver Wahlstrom40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin KorchinskiTopi Niemela60122
2Mac HollowellDennis Cholowski40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jesse PuljujarviBrendan Lemieux60122
2Oliver WahlstromAlexander Nylander40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin KorchinskiTopi Niemela60122
2Mac HollowellDennis Cholowski40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jesse Puljujarvi60122Kevin KorchinskiTopi Niemela60122
2Brendan Lemieux40122Mac HollowellDennis Cholowski40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jesse PuljujarviBrendan Lemieux60122
2Oliver WahlstromAlexander Nylander40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin KorchinskiTopi Niemela60122
2Mac HollowellDennis Cholowski40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LemieuxJayson MegnaJesse PuljujarviKevin KorchinskiTopi Niemela
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LemieuxJayson MegnaJesse PuljujarviKevin KorchinskiTopi Niemela
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Trey Fix-Wolansky, Frank Nazar, Nicholas AbruzzeseTrey Fix-Wolansky, Frank NazarNicholas Abruzzese
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tobias Bjornfot, Mac Hollowell, Dennis CholowskiTobias BjornfotMac Hollowell, Dennis Cholowski
Tirs de pénalité
Jesse Puljujarvi, Brendan Lemieux, Oliver Wahlstrom, Alexander Nylander, Jayson Megna
Gardien
#1 : Devon Levi, #2 : Chris Driedger


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
1Oceanics404000001220-82020000058-320200000712-500.0001223351073201174231440131473384600.00%9455.56%0469548.42%348141.98%356950.72%814482367538
Total404000001220-82020000058-320200000712-500.0001223351073201174231440131473384600.00%9455.56%0469548.42%348141.98%356950.72%814482367538
_Since Last GM Reset404000001220-82020000058-320200000712-500.0001223351073201174231440131473384600.00%9455.56%0469548.42%348141.98%356950.72%814482367538
_Vs Conference404000001220-82020000058-320200000712-500.0001223351073201174231440131473384600.00%9455.56%0469548.42%348141.98%356950.72%814482367538

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
40L412233511713147338410
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
40400001220
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
202000058
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2020000712
Derniers 10 matchs
WLOTWOTL SOWSOL
040000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
600.00%9455.56%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
42314407320
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
469548.42%348141.98%356950.72%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
814482367538


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2025-04-181Phantoms3Oceanics6LSommaire du match
3 - 2025-04-209Phantoms4Oceanics6LSommaire du match
5 - 2025-04-2217Oceanics3Phantoms2LSommaire du match
7 - 2025-04-2425Oceanics5Phantoms3LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance4,0001,991
Assistance PCT100.00%99.55%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
1 2996 - 99.85% 101,919$203,838$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,445,061$ 1,445,061$ 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$ 3 0$ 0$




Phantoms 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

Phantoms 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

Phantoms 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

Phantoms 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

Phantoms 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