Connexion

Phantoms
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Richard Duguay | Morale : 50 | Moyenne d’équipe : 57
Prochains matchs #12 vs Spiders
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Spiders
0-0-0, 0pts
2022-10-13
Phantoms
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Comets
0-0-0, 0pts
2022-10-15
Phantoms
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Phantoms
0-0-0, 0pts
2022-10-18
Thunder
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralRichard Duguay
DivisionNord-Est
ConférenceEst
CapitaineChris Bigras
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro20
Équipe Mineure19
Limite contact 39 / 50
Espoirs15


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 moyen
1Morgan BarronXXX100.00834690728356675761585665754646050600222925,000$
2Alexander NylanderXX100.007871947371565562505663666044440505902311,000,000$
3Tommy NovakX100.00574097676661577461675665254646050590243650,000$
4Antti SuomelaX100.00756792746756565974536064574848050580271700,000$
5Sam Poulin (R)XX100.00797880677857575950565865554444050580204863,333$
6Trey Fix-WolanskyX100.00656370686361616250586359604444050570223809,166$
7Austin PoganskiX100.00798786657754626025505565254646050560252750,000$
8Logan HutskoXX100.00696285636257575873595360504444050560223867,000$
9Dillon Hamaliuk (R)X100.00777776647748484950474662444444050520204789,167$
10Ben HarpurX100.00849962659163585525444778256263050640262750,000$
11Juuso ValimakiX100.00734470757869725825564777255050050640221925,000$
12Gavin BayreutherX100.00777585737462626025544773535353050620271650,000$
13Matt BartkowskiX100.00787487637461654925374167396465050590331655,000$
14Chris Bigras (C)X100.00767186637152535125394665445757050570264560,000$
15Mac HollowellX100.00656173676155565525524357414444050540233799,766$
Rayé
1Sebastian AhoDX100.007343907166705161256248672547470506002500$
MOYENNE D’ÉQUIPE100.0074668368725959584253526644494905058
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 moyen
1Felix Sandstrom (R)100.0050455675525251565453304444050530244600,000$
2Hunter Jones (R)100.0046496181454645504545454444050500212825,833$
Rayé
1Arvid Holm (R)100.0044405086434451524849304444050500222845,833$
2Beck Warm (R)100.0045455666454545504545454444050480223650,000$
MOYENNE D’ÉQUIPE100.004645567746474852484838444405050
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
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 moyen 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
Alexander NylanderPhantoms (Phi)LW/RW231998-03-02No192 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$100,000$100,000$NoLien
Antti SuomelaPhantoms (Phi)C271994-03-17No180 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$70,000$70,000$NoLien
Arvid HolmPhantoms (Phi)G221998-11-03Yes205 Lbs6 ft5NoNoNo2Pro & Farm845,833$845,833$84,583$84,583$No845,833$Lien
Austin PoganskiPhantoms (Phi)RW251996-02-16No201 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$75,000$75,000$No750,000$Lien
Beck WarmPhantoms (Phi)G221999-04-21Yes181 Lbs6 ft0NoNoNo3Pro & Farm650,000$650,000$65,000$65,000$No650,000$650,000$Lien
Ben HarpurPhantoms (Phi)D261995-01-11No231 Lbs6 ft6NoNoNo2Pro & Farm750,000$750,000$75,000$75,000$No750,000$Lien
Chris BigrasPhantoms (Phi)D261995-02-22No191 Lbs6 ft1NoNoNo4Pro & Farm560,000$560,000$56,000$56,000$No560,000$560,000$560,000$Lien
Dillon HamaliukPhantoms (Phi)LW202000-10-30Yes201 Lbs6 ft4NoNoNo4Pro & Farm789,167$789,167$78,917$78,917$No789,167$789,167$789,167$Lien
Felix SandstromPhantoms (Phi)G241997-01-12Yes191 Lbs6 ft2NoNoNo4Pro & Farm600,000$600,000$60,000$60,000$No600,000$600,000$600,000$Lien
Gavin BayreutherPhantoms (Phi)D271994-05-12No195 Lbs6 ft1NoNoNo1Pro & Farm650,000$650,000$65,000$65,000$NoLien
Hunter JonesPhantoms (Phi)G212000-09-21Yes194 Lbs6 ft4NoNoNo2Pro & Farm825,833$825,833$82,583$82,583$No825,833$Lien
Juuso ValimakiPhantoms (Phi)D221998-10-06No212 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$92,500$92,500$NoLien
Logan HutskoPhantoms (Phi)C/RW221999-02-11No172 Lbs5 ft10NoNoNo3Pro & Farm867,000$867,000$86,700$86,700$No867,000$867,000$Lien
Mac HollowellPhantoms (Phi)D231998-09-26No172 Lbs5 ft9NoNoNo3Pro & Farm799,766$799,766$79,977$79,977$No799,766$799,766$Lien
Matt BartkowskiPhantoms (Phi)D331988-06-04No201 Lbs6 ft1NoNoNo1Pro & Farm575,000$655,000$65,500$65,500$NoLien
Morgan BarronPhantoms (Phi)C/LW/RW221998-12-02No220 Lbs6 ft4NoNoNo2Pro & Farm925,000$925,000$92,500$92,500$No925,000$Lien
Sam PoulinPhantoms (Phi)LW/RW202001-02-25Yes214 Lbs6 ft2NoNoNo4Pro & Farm863,333$863,333$86,333$86,333$No863,333$863,333$863,333$Lien
Sebastian AhoDPhantoms (Phi)D251996-02-17No183 Lbs5 ft11NoNoNo0Pro & Farm0$0$NoLien
Tommy NovakPhantoms (Phi)C241997-04-28No179 Lbs6 ft1NoNoNo3Pro & Farm650,000$650,000$65,000$65,000$No650,000$650,000$Lien
Trey Fix-WolanskyPhantoms (Phi)RW221999-05-26No187 Lbs5 ft7NoNoNo3Pro & Farm809,166$809,166$80,917$80,917$No809,166$809,166$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2023.80195 Lbs6 ft12.30726,755$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
3Antti SuomelaAustin Poganski20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Mac HollowellChris Bigras30122
320122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Mac HollowellChris Bigras40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Mac HollowellChris Bigras40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122Mac HollowellChris Bigras40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Mac HollowellChris Bigras40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Logan Hutsko, , Logan Hutsko
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Mac Hollowell, Chris BigrasMac Hollowell, Chris Bigras
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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
7 - 2022-10-1312Spiders-Phantoms-
9 - 2022-10-1526Comets-Phantoms-
12 - 2022-10-1853Phantoms-Thunder-
13 - 2022-10-1956Phantoms-Cabaret Lady Mary Ann-
16 - 2022-10-2283Phantoms-Chill-
17 - 2022-10-2391Sharks-Phantoms-
21 - 2022-10-27112Cabaret Lady Mary Ann-Phantoms-
23 - 2022-10-29132Caroline-Phantoms-
26 - 2022-11-01149Phantoms-Wolf Pack-
27 - 2022-11-02159Phantoms-Marlies-
30 - 2022-11-05183Phantoms-Senators-
33 - 2022-11-08199Chiefs-Phantoms-
35 - 2022-11-10214Phantoms-Monsters-
37 - 2022-11-12225Senators-Phantoms-
38 - 2022-11-13238Stars-Phantoms-
40 - 2022-11-15250Phantoms-Monsters-
42 - 2022-11-17265Phantoms-Bruins-
44 - 2022-11-19281Phantoms-Rocket-
46 - 2022-11-21292Heat-Phantoms-
48 - 2022-11-23312Phantoms-Bears-
50 - 2022-11-25324Manchots-Phantoms-
51 - 2022-11-26337Phantoms-Sound Tigers-
54 - 2022-11-29353Sound Tigers-Phantoms-
56 - 2022-12-01367Thunder-Phantoms-
58 - 2022-12-03382Spiders-Phantoms-
60 - 2022-12-05397Monsters-Phantoms-
62 - 2022-12-07413Bears-Phantoms-
64 - 2022-12-09432Phantoms-Las Vegas-
66 - 2022-12-11445Phantoms-Jayhawks-
68 - 2022-12-13464Phantoms-Monsters-
70 - 2022-12-15473Phantoms-Spiders-
72 - 2022-12-17489Wolf Pack-Phantoms-
75 - 2022-12-20510Monsters-Phantoms-
77 - 2022-12-22525Phantoms-Marlies-
78 - 2022-12-23535Phantoms-Caroline-
84 - 2022-12-29573Phantoms-Sharks-
86 - 2022-12-31580Phantoms-Monarchs-
88 - 2023-01-02597Phantoms-Admirals-
91 - 2023-01-05612Jayhawks-Phantoms-
94 - 2023-01-08643Marlies-Phantoms-
97 - 2023-01-11659Bears-Phantoms-
100 - 2023-01-14681Phantoms-Bears-
102 - 2023-01-16695Phantoms-Bruins-
103 - 2023-01-17705Admirals-Phantoms-
105 - 2023-01-19719Baby Hawks-Phantoms-
107 - 2023-01-21735Phantoms-Cougars-
108 - 2023-01-22749Oceanics-Phantoms-
110 - 2023-01-24757Monarchs-Phantoms-
112 - 2023-01-26779Phantoms-Minnesota-
114 - 2023-01-28790Phantoms-Oceanics-
123 - 2023-02-06807Sound Tigers-Phantoms-
126 - 2023-02-09822Oil Kings-Phantoms-
128 - 2023-02-11836Chill-Phantoms-
129 - 2023-02-12848Seattle-Phantoms-
133 - 2023-02-16876Phantoms-Seattle-
135 - 2023-02-18890Phantoms-Comets-
137 - 2023-02-20905Phantoms-Heat-
138 - 2023-02-21916Phantoms-Oil Kings-
141 - 2023-02-24932Rocket-Phantoms-
142 - 2023-02-25941Phantoms-Spiders-
146 - 2023-03-01968Wolf Pack-Phantoms-
149 - 2023-03-04990Phantoms-Crunch-
150 - 2023-03-051003Cougars-Phantoms-
152 - 2023-03-071014Phantoms-Thunder-
154 - 2023-03-091030Phantoms-Caroline-
156 - 2023-03-111039Phantoms-Manchots-
159 - 2023-03-141066Las Vegas-Phantoms-
162 - 2023-03-171091Crunch-Phantoms-
163 - 2023-03-181099Caroline-Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2023-03-211122Cabaret Lady Mary Ann-Phantoms-
168 - 2023-03-231136Minnesota-Phantoms-
170 - 2023-03-251150Cougars-Phantoms-
173 - 2023-03-281177Rocket-Phantoms-
175 - 2023-03-301193Phantoms-Senators-
177 - 2023-04-011206Crunch-Phantoms-
178 - 2023-04-021221Phantoms-Manchots-
180 - 2023-04-041234Phantoms-Chiefs-
182 - 2023-04-061252Phantoms-Stars-
184 - 2023-04-081268Phantoms-Sound Tigers-
185 - 2023-04-091273Bruins-Phantoms-
187 - 2023-04-111287Monsters-Phantoms-
189 - 2023-04-131306Phantoms-Baby Hawks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,453,510$ 1,461,510$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,692$ 0$ 19 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 190 7,650$ 1,453,500$




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