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Phantoms
GP: 18 | W: 6 | L: 12 | OTL: 0 | P: 12
GF: 70 | GA: 103 | PP%: 19.32% | PK%: 71.43%
DG: Mark S | Morale : 50 | Moyenne d’équipe : 60
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Centre de jeu
Phantoms
6-12-0, 12pts
5
FINAL
7 Marlies
14-4-0, 28pts
Team Stats
L4StreakW2
4-5-0Home Record6-3-0
2-7-0Away Record8-1-0
3-7-0Last 10 Games8-2-0
3.89Buts par match 4.06
5.72Buts contre par match 1.94
19.32%Pourcentage en avantage numérique22.50%
71.43%Pourcentage en désavantage numérique87.80%
Rocket
18-0-0, 36pts
6
FINAL
3 Phantoms
6-12-0, 12pts
Team Stats
W6StreakL4
9-0-0Home Record4-5-0
9-0-0Away Record2-7-0
10-0-0Last 10 Games3-7-0
4.56Buts par match 3.89
1.50Buts contre par match 5.72
29.07%Pourcentage en avantage numérique19.32%
92.47%Pourcentage en désavantage numérique71.43%
Meneurs d'équipe
Trey Fix-WolanskyButs
Trey Fix-Wolansky
23
Passes
Tyler Angle
16
Trey Fix-WolanskyPoints
Trey Fix-Wolansky
27
Plus/Moins
Carson Meyer
1

Statistiques d’équipe
Buts pour
70
3.89 GFG
Tirs pour
525
29.17 Avg
Pourcentage en avantage numérique
19.3%
17 GF
Début de zone offensive
39.0%
Buts contre
103
5.72 GAA
Tirs contre
515
28.61 Avg
Pourcentage en désavantage numérique
71.4%%
18 GA
Début de la zone défensive
32.7%
Informations de l'équipe

Directeur généralMark S
EntraîneurDerek MacKenzie
DivisionAtlantic
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro17
Équipe Mineure22
Limite contact 39 / 50
Espoirs48


Historique d'équipe

Saison actuelle6-12-0 (12PTS)
Historique0-0-0
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Trey Fix-WolanskyX100.0075439368645784672559715825464668506102521,000,000$
2Nikita NesterenkoX100.007572836672707358735358635544446250600233925,000$
3Samuel Poulin (R)XX100.007575756475555364805965656244446550600233863,333$
4Carson MeyerX100.009145956466537465255758672546466450600271750,000$
5Nick SwaneyX100.007163906763697261505364626144446450600272775,000$
6Cole ReinhardtX100.007174636374727657505554615144445950580241813,333$
7Tyler AngleX100.006962846362677056705057605444445950570241850,833$
8Nolan StevensXX100.007470836370636751645246614444445550560281775,000$
9Greg MeirelesX100.007365916665677151645047604544445550560252775,000$
10Bryce KindoppX100.007671896571646849504448614644445550550251775,000$
11Cole Coskey (R)X100.007670896170474749504944614244445350530253800,000$
12Ryker EvansX100.008244837370778274255648682547476250660223925,000$
13Brayden PachalX100.009158727273657563254948792551526250660252825,000$
14Matthew KesselX100.007544906776707262255148782547476150650242925,000$
15Maxence Guenette (R)X100.007974906674798556255245654344445950630232813,333$
16Ville HeinolaX100.0069648270646365582547546151474759505902331,000,000$
17Zackary Hayes (R)X100.008080806480626646253641633944445350580252800,000$
Rayé
MOYENNE D’ÉQUIPE100.00776384667065715844515364424545605060
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

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# Nom du gardien CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
Rayé
MOYENNE D’ÉQUIPE 0.00 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Derek MacKenzie64697465595586CAN402925,000$


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
1Trey Fix-WolanskyPhantoms (PHL)RW1823427-132205144124389618.55%2138321.2862828690001331143.48%2300011.4100000111
2Nick SwaneyPhantoms (PHL)RW1811920-128092881235013.58%1031117.3334719531011111052.78%3600011.2800000110
3Tyler AnglePhantoms (PHL)C1831619-13209334013347.50%829916.661671153000000064.69%37100001.2700000010
4Carson MeyerPhantoms (PHL)RW1898171100303247124319.15%1023913.3000000000002040.00%500011.4200000211
5Cole ReinhardtPhantoms (PHL)LW188816-12235392749164616.33%332518.0931411530000251069.23%1300000.9800001001
6Matthew KesselPhantoms (PHL)D1811516-22603819146207.14%1726714.8712381300003100.00%000001.2000000022
7Greg MeirelesPhantoms (PHL)C18871501210173656123114.29%926314.65000000000270060.80%19900011.1400011110
8Brayden PachalPhantoms (PHL)D18011-176031143330.00%111518.440000000000000.00%000000.1300000000
9Zackary HayesPhantoms (PHL)D18011-1720552430.00%51528.440000000000000.00%000000.1300000000
Statistiques d’équipe totales ou en moyenne1626369132-851111522923841612732615.14%94239514.781415297724310121016161.98%64700041.1000012575
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


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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Brayden PachalPhantoms (PHL)D251999-08-23No200 Lbs6 ft0NoNoNo2Pro & Farm825,000$825,000$0$0$No825,000$Lien / Lien NHL
Bryce KindoppPhantoms (PHL)RW251999-06-14No191 Lbs6 ft1NoNoNo1Pro & Farm775,000$775,000$0$0$NoLien
Carson MeyerPhantoms (PHL)RW271997-08-18No180 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien
Cole CoskeyPhantoms (PHL)RW251999-06-01Yes190 Lbs6 ft0NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Lien
Cole ReinhardtPhantoms (PHL)LW242000-02-01No203 Lbs6 ft1NoNoNo1Pro & Farm813,333$813,333$0$0$NoLien
Greg MeirelesPhantoms (PHL)C251999-01-01No181 Lbs5 ft10NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien
Matthew KesselPhantoms (PHL)D242000-06-23No205 Lbs6 ft2NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$Lien
Maxence GuenettePhantoms (PHL)D232001-04-28Yes196 Lbs6 ft3NoNoNo2Pro & Farm813,333$813,333$0$0$No813,333$Lien
Nick SwaneyPhantoms (PHL)RW271997-09-09No175 Lbs5 ft10NoNoNo2Pro & Farm775,000$775,000$0$0$No775,000$Lien
Nikita NesterenkoPhantoms (PHL)C232001-09-10No194 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien
Nolan StevensPhantoms (PHL)C/LW281996-07-22No183 Lbs6 ft3NoNoNo1Pro & Farm775,000$775,000$0$0$NoLien / Lien NHL
Ryker EvansPhantoms (PHL)D222001-12-13No191 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Lien
Samuel PoulinPhantoms (PHL)C/LW232001-02-25Yes207 Lbs6 ft1NoNoNo3Pro & Farm863,333$863,333$0$0$No863,333$863,333$Lien
Trey Fix-WolanskyPhantoms (PHL)RW251999-05-26No185 Lbs5 ft8NoNoNo2Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$Lien / Lien NHL
Tyler AnglePhantoms (PHL)C242000-09-30No172 Lbs5 ft10NoNoNo1Pro & Farm850,833$850,833$0$0$NoLien
Ville HeinolaPhantoms (PHL)D232001-03-02No178 Lbs5 ft11NoNoNo3Pro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Zackary HayesPhantoms (PHL)D251999-04-24Yes218 Lbs6 ft3NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1724.59191 Lbs6 ft02.00846,520$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Trey Fix-Wolansky40122
2Cole ReinhardtTyler AngleNick Swaney30122
3Greg MeirelesCarson Meyer20122
4Trey Fix-Wolansky10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Matthew Kessel30122
3Zackary HayesBrayden Pachal20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Trey Fix-Wolansky60122
2Cole ReinhardtTyler AngleNick Swaney40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Matthew Kessel40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Trey Fix-Wolansky60122
2Nick SwaneyCole Reinhardt40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Matthew Kessel40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
2Trey Fix-Wolansky40122Matthew Kessel40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Trey Fix-Wolansky60122
2Nick SwaneyCole Reinhardt40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Matthew Kessel40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Trey Fix-Wolansky
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Trey Fix-Wolansky
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Carson Meyer, Greg Meireles, Carson MeyerGreg Meireles
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Zackary Hayes, Brayden Pachal, Zackary HayesBrayden Pachal,
Tirs de pénalité
, Trey Fix-Wolansky, Nick Swaney, Cole Reinhardt,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, Trey Fix-Wolansky, Nick Swaney, Cole Reinhardt, , Carson Meyer, Carson Meyer, Tyler Angle, Greg Meireles, ,
Lignes de défense personnalisées en prolongation
, , , Matthew Kessel, Zackary Hayes


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
1Canucks20200000613-71010000016-51010000057-200.000610160031172204019315417804814183516318.75%9277.78%023246350.11%14138936.25%17033650.60%42431445511520097
2Comets22000000144101100000010281100000042241.000142135003117220981931541780511316285240.00%70100.00%123246350.11%14138936.25%17033650.60%42431445511520097
3Crunch20200000415-111010000029-71010000026-400.00045900311722035193154178077161436700.00%7357.14%023246350.11%14138936.25%17033650.60%42431445511520097
4Griffins21100000913-4110000006511010000038-520.50091322003117220511931541780702027289222.22%10280.00%023246350.11%14138936.25%17033650.60%42431445511520097
5Marlies20200000512-71010000005-51010000057-200.000510150031172203419315417804713152519210.53%5180.00%023246350.11%14138936.25%17033650.60%42431445511520097
6Monsters21100000713-6110000006421010000019-820.500710170031172208219315417805611102912216.67%5260.00%023246350.11%14138936.25%17033650.60%42431445511520097
7Rocket20200000613-71010000036-31010000037-400.0006915003117220431931541780601616279333.33%8450.00%023246350.11%14138936.25%17033650.60%42431445511520097
8Senators220000001688110000008441100000084441.0001628440031172209819315417804610144822100.00%6183.33%023246350.11%14138936.25%17033650.60%42431445511520097
9Stars1010000037-41010000037-40000000000000.00035800311722025193154178040921383133.33%6350.00%023246350.11%14138936.25%17033650.60%42431445511520097
10Wolves1010000005-5000000000001010000005-500.000000003117220191931541780207013600.00%000.00%023246350.11%14138936.25%17033650.60%42431445511520097
Total186120000070103-33945000003948-9927000003155-24120.333701111810031172205251931541780515129151307881719.32%631871.43%123246350.11%14138936.25%17033650.60%42431445511520097
_Since Last GM Reset186120000070103-33945000003948-9927000003155-24120.333701111810031172205251931541780515129151307881719.32%631871.43%123246350.11%14138936.25%17033650.60%42431445511520097
_Vs Conference17611000006796-29844000003641-5927000003155-24120.353671061730031172205001931541780475120130269851618.82%571573.68%123246350.11%14138936.25%17033650.60%42431445511520097
_Vs Division501000002122-1200000001661030100000516-1100.000213152003117220199193154178012731267023417.39%12283.33%123246350.11%14138936.25%17033650.60%42431445511520097

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1812L47011118152551512915130700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
18612000070103
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
94500003948
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
92700003155
Derniers 10 matchs
WLOTWOTL SOWSOL
370000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
881719.32%631871.43%1
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
19315417803117220
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
23246350.11%14138936.25%17033650.60%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
42431445511520097


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2024-09-2310Comets2Phantoms10BWSommaire du match
3 - 2024-09-2530Phantoms8Senators4AWSommaire du match
4 - 2024-09-2636Phantoms1Monsters9ALSommaire du match
5 - 2024-09-2750Stars7Phantoms3BLSommaire du match
7 - 2024-09-2972Phantoms0Wolves5ALSommaire du match
8 - 2024-09-3086Phantoms4Comets2AWSommaire du match
9 - 2024-10-0196Marlies5Phantoms0BLSommaire du match
10 - 2024-10-02114Phantoms3Griffins8ALSommaire du match
11 - 2024-10-03128Monsters4Phantoms6BWSommaire du match
13 - 2024-10-05153Crunch9Phantoms2BLSommaire du match
14 - 2024-10-06165Phantoms5Canucks7ALSommaire du match
15 - 2024-10-07181Griffins5Phantoms6BWSommaire du match
17 - 2024-10-09200Phantoms2Crunch6ALSommaire du match
18 - 2024-10-10215Senators4Phantoms8BWSommaire du match
19 - 2024-10-11227Phantoms3Rocket7ALSommaire du match
21 - 2024-10-13249Canucks6Phantoms1BLSommaire du match
22 - 2024-10-14257Phantoms5Marlies7ALSommaire du match
24 - 2024-10-16278Rocket6Phantoms3BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets200
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,439,082$ 1,439,082$ 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$ 1 0$ 0$




Phantoms Leaders statistiques (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 (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