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OTHL - Phantoms 
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Phantoms
GP: 82 | W: 27 | L: 54 | OTL: 1 | P: 55
GF: 284 | GA: 442 | PP%: 13.22% | PK%: 70.95%
DG: Vacant | Morale : 50 | Moyenne d’équipe : 57
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Centre de jeu
Comets
33-42-7, 73pts
4
FINAL
5 Phantoms
27-54-1, 55pts
Team Stats
L2StreakL1
20-19-2Home Record15-26-0
13-23-5Away Record12-28-1
5-3-2Last 10 Games3-7-0
3.32Buts par match 3.46
4.50Buts contre par match 5.39
16.25%Pourcentage en avantage numérique13.22%
78.08%Pourcentage en désavantage numérique70.95%
Phantoms
27-54-1, 55pts
2
FINAL
10 Condors
67-12-3, 137pts
Team Stats
L1StreakW10
15-26-0Home Record34-6-1
12-28-1Away Record33-6-2
3-7-0Last 10 Games10-0-0
3.46Buts par match 5.89
5.39Buts contre par match 1.90
13.22%Pourcentage en avantage numérique25.08%
70.95%Pourcentage en désavantage numérique86.32%
Meneurs d'équipe
Brandon DuhaimeButs
Brandon Duhaime
81
Josiah DidierPasses
Josiah Didier
54
Brandon DuhaimePoints
Brandon Duhaime
101
Mason ShawPlus/Moins
Mason Shaw
24

Statistiques d’équipe
Buts pour
284
3.46 GFG
Tirs pour
2624
32.00 Avg
Pourcentage en avantage numérique
13.2%
32 GF
Début de zone offensive
36.9%
Buts contre
442
5.39 GAA
Tirs contre
3023
36.87 Avg
Pourcentage en désavantage numérique
71.0%
61 GA
Début de la zone défensive
36.2%
Informations de l'équipe

Directeur généralVacant
EntraîneurTim Army
DivisionAtlantic
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,878
Billets de saison0


Informations de la formation

Équipe Pro7
Équipe Mineure21
Limite contact 28 / 50
Espoirs35


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
1Nolan StevensX100.007670906570626362786158655544446350600252750,000$
2Trey Fix-Wolansky (R)X100.007263926163555268506468646544446650600232925,000$
3Mason ShawX100.006464655864555364806262595944446150580232925,000$
4Brandon Duhaime (R)XX100.007275646875646656504661615844446050580252925,000$
5Josiah DidierX100.007675796475565949254339623745455250570292750,000$
Rayé
MOYENNE D’ÉQUIPE100.00726978636958596057555862554444605059
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
1Tyler Wall (R)100.00465468844245505345463044444850520243925,000$
2Collin Delia100.004554688041445052454630464647505102721,000,000$
Rayé
MOYENNE D’ÉQUIPE100.0046546882424550534546304545485052
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Tim Army74677061888361USA573725,000$


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

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# 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
1Brandon DuhaimePhantoms (PHL)LW/RW828120101075528315646113134517.57%103122214.91011617000008463.49%6300091.65011001628
2Cameron GaunceFlyersD71335588-1110553181001846711717.93%153138319.49142168412400006821 0.00%000011.2701001498
3Josiah DidierPhantoms (PHL)D8222547617720144992146215410.28%6594911.5900000000000175.86%2900001.6001000387
4Mason ShawPhantoms (PHL)C8245216624260641262687919816.79%337399.0200000000006176.93%82800021.7801000399
5Brandon ManningFlyersD6336-31202361610918.75%1610217.152028110000410 0.00%000001.1700000101
Statistiques d’équipe totales ou en moyenne3231841533372729010832487114334982316.10%370439813.62163199815400007317775.98%920000121.5304101272833
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 Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
Statistiques d’équipe totales ou en moyenne 0.000 0.000 0.000


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’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
Brandon DuhaimePhantoms (PHL)LW/RW251997-05-22Yes201 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Collin DeliaPhantoms (PHL)G271994-06-19No208 Lbs6 ft2YesNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Lien / Lien NHL
Josiah DidierPhantoms (PHL)D291993-04-08No202 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Mason ShawPhantoms (PHL)C231998-11-02No180 Lbs5 ft9NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Nolan StevensPhantoms (PHL)C251996-07-22No183 Lbs6 ft3NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Trey Fix-WolanskyPhantoms (PHL)RW231999-05-26Yes187 Lbs5 ft7NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Tyler WallPhantoms (PHL)G241998-01-14Yes214 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
725.14196 Lbs6 ft12.14885,714$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Brandon Duhaime30122
3Mason ShawJosiah Didier20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
4Josiah Didier10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Brandon Duhaime40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Shaw, , Mason Shaw,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Josiah Didier, Josiah Didier
Tirs de pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d’attaque personnalisées en prolongation
, , , , , Brandon Duhaime, Brandon Duhaime, Mason Shaw, , ,
Lignes de défense personnalisées en prolongation
, , , ,


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
1 Americans2020000015-41010000012-11010000003-300.000123001309261124878862874154715225600.00%10100.00%0906203844.46%791199939.57%589148039.80%173112802309518886408
2Admirals2010000179-21010000045-11000000134-110.2507132000130926116387886287415852220356233.33%10370.00%0906203844.46%791199939.57%589148039.80%173112802309518886408
3Barracudas220000001569110000009271100000064241.00015264100130926111038788628741563211267000.00%50100.00%0906203844.46%791199939.57%589148039.80%173112802309518886408
4Bears5500000031171422000000106433000000211110101.00031518200130926112478788628741514751431345120.00%10280.00%0906203844.46%791199939.57%589148039.80%173112802309518886408
5Bruins404000001123-1220200000711-420200000412-800.000112132201309261199878862874151626018541516.67%9277.78%0906203844.46%791199939.57%589148039.80%173112802309518886408
6Canucks20200000517-121010000028-61010000039-600.00058130013092611318788628741589161819600.00%7442.86%0906203844.46%791199939.57%589148039.80%173112802309518886408
7Checkers40400000931-2220200000613-720200000318-1500.00091221001309261185878862874151624830601119.09%13561.54%0906203844.46%791199939.57%589148039.80%173112802309518886408
8Comets31200000817-91100000054120200000313-1020.33381220001309261154878862874158322143918316.67%7357.14%0906203844.46%791199939.57%589148039.80%173112802309518886408
9Condors20200000219-171010000009-910100000210-800.000246001309261134878862874151022712237114.29%6266.67%0906203844.46%791199939.57%589148039.80%173112802309518886408
10Crunch2110000013112110000008441010000057-220.50013213410130926111128788628741569314447228.57%2150.00%0906203844.46%791199939.57%589148039.80%173112802309518886408
11Eagles220000001165110000006331100000053241.000112132001309261111487886287415411010572150.00%5180.00%0906203844.46%791199939.57%589148039.80%173112802309518886408
12Griffins30300000111-102020000007-71010000014-300.000112001309261150878862874151023716351500.00%80100.00%0906203844.46%791199939.57%589148039.80%173112802309518886408
13Gulls30300000820-121010000036-320200000514-900.000815230013092611628788628741512945204011218.18%9188.89%0906203844.46%791199939.57%589148039.80%173112802309518886408
14Heat20200000418-1410100000211-91010000027-500.000461000130926112887886287415793917348112.50%5260.00%1906203844.46%791199939.57%589148039.80%173112802309518886408
15IceHogs20200000417-131010000028-61010000029-700.000461000130926113287886287415872216261100.00%6433.33%0906203844.46%791199939.57%589148039.80%173112802309518886408
16Mariners30300000419-1520200000312-91010000017-600.000471100130926114987886287415158482668800.00%12466.67%0906203844.46%791199939.57%589148039.80%173112802309518886408
17Marlies20200000316-131010000018-71010000028-600.00034700130926113287886287415773327271417.14%11372.73%0906203844.46%791199939.57%589148039.80%173112802309518886408
18Monsters30300000618-1220200000413-91010000025-300.00067130013092611688788628741513028365510110.00%13469.23%0906203844.46%791199939.57%589148039.80%173112802309518886408
19Moose20200000413-91010000028-61010000025-300.00046100013092611378788628741587191428600.00%7185.71%0906203844.46%791199939.57%589148039.80%173112802309518886408
20Penguins40400000424-2020200000213-1120200000211-900.00047110013092611107878862874151945820120500.00%9366.67%0906203844.46%791199939.57%589148039.80%173112802309518886408
21Rampage 2200000014104110000006331100000087141.0001424380013092611102878862874159324845000.00%30100.00%0906203844.46%791199939.57%589148039.80%173112802309518886408
22Reign20200000412-81010000015-41010000037-400.000471100130926113387886287415551518227228.57%8362.50%0906203844.46%791199939.57%589148039.80%173112802309518886408
23Roadrunners220000001358110000005411100000081741.00013213400130926111238788628741566266616116.67%30100.00%0906203844.46%791199939.57%589148039.80%173112802309518886408
24Rocket2020000029-71010000025-31010000004-400.0002350013092611378788628741560182249111.11%10100.00%0906203844.46%791199939.57%589148039.80%173112802309518886408
25Senators21100000911-2110000006511010000036-320.500913220013092611558788628741559186288225.00%3166.67%0906203844.46%791199939.57%589148039.80%173112802309518886408
26Sound Tigers44000000351520220000001761122000000189981.00035579200130926112658788628741510522812511436.36%4175.00%0906203844.46%791199939.57%589148039.80%173112802309518886408
27Stars220000001275110000006421100000063341.0001218300013092611788788628741584308434250.00%40100.00%0906203844.46%791199939.57%589148039.80%173112802309518886408
28Thunderbirds40400000427-2320200000314-1120200000113-1200.00046101013092611828788628741515235267117211.76%12650.00%0906203844.46%791199939.57%589148039.80%173112802309518886408
29Wild211000001192110000007431010000045-120.5001117280013092611117878862874156913662300.00%3166.67%0906203844.46%791199939.57%589148039.80%173112802309518886408
30Wolf Pack43001000271017220000001651121001000115681.00027447100130926112288788628741513235161104125.00%8275.00%0906203844.46%791199939.57%589148039.80%173112802309518886408
31Wolves20200000210-81010000016-51010000014-300.0002460013092611738788628741555161433200.00%6266.67%0906203844.46%791199939.57%589148039.80%173112802309518886408
Total82265401001284442-15841152600000147214-6741112801001137228-91550.3352844647484013092611262487886287415302390449316142423213.22%2106170.95%1906203844.46%791199939.57%589148039.80%173112802309518886408
_Since Last GM Reset82265401001284442-15841152600000147214-6741112801001137228-91550.3352844647484013092611262487886287415302390449316142423213.22%2106170.95%1906203844.46%791199939.57%589148039.80%173112802309518886408
_Vs Conference48153201000168257-89249150000089122-33246170100079135-56320.333168267435401309261115528788628741517235122849451552012.90%1173768.38%0906203844.46%791199939.57%589148039.80%173112802309518886408
_Vs Division27121601000120132-12136800000606001468010006072-12260.4811201903100013092611105487886287415953264167643641117.19%642068.75%0906203844.46%791199939.57%589148039.80%173112802309518886408

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8255L128446474826243023904493161440
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8226541001284442
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4115260000147214
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4111281001137228
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
2423213.22%2106170.95%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
8788628741513092611
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
906203844.46%791199939.57%589148039.80%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
173112802309518886408


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
2 - 2021-11-1211Phantoms7Bears3AWSommaire du match
3 - 2021-11-1325Wolf Pack3Phantoms8BWSommaire du match
5 - 2021-11-1545Griffins5Phantoms0BLSommaire du match
7 - 2021-11-1757Phantoms6Wolf Pack1AWSommaire du match
9 - 2021-11-1974Monsters4Phantoms2BLSommaire du match
10 - 2021-11-2084Phantoms7Sound Tigers3AWSommaire du match
13 - 2021-11-23106Penguins4Phantoms1BLSommaire du match
14 - 2021-11-24116Phantoms1Checkers9ALSommaire du match
16 - 2021-11-26139Bruins7Phantoms5BLSommaire du match
17 - 2021-11-27148Phantoms2Bruins7ALSommaire du match
19 - 2021-11-29167Sound Tigers3Phantoms9BWSommaire du match
21 - 2021-12-01179Phantoms2Gulls9ALSommaire du match
22 - 2021-12-02195Phantoms2Penguins5ALSommaire du match
24 - 2021-12-04214Mariners8Phantoms1BLSommaire du match
25 - 2021-12-05225Phantoms0Thunderbirds8ALSommaire du match
28 - 2021-12-08248Bears3Phantoms4BWSommaire du match
30 - 2021-12-10267Monsters9Phantoms2BLSommaire du match
31 - 2021-12-11277Phantoms11Sound Tigers6AWSommaire du match
33 - 2021-12-13293Phantoms5Crunch7ALSommaire du match
35 - 2021-12-15309Marlies8Phantoms1BLSommaire du match
37 - 2021-12-17330Checkers8Phantoms2BLSommaire du match
38 - 2021-12-18340Phantoms2Checkers9ALSommaire du match
40 - 2021-12-20358Phantoms2Heat7ALSommaire du match
42 - 2021-12-22376Wild4Phantoms7BWSommaire du match
44 - 2021-12-24392Bruins4Phantoms2BLSommaire du match
46 - 2021-12-26407Phantoms5Wolf Pack4AWXSommaire du match
47 - 2021-12-27420Phantoms5Eagles3AWSommaire du match
49 - 2021-12-29438Admirals5Phantoms4BLSommaire du match
51 - 2021-12-31455Phantoms6Barracudas4AWSommaire du match
52 - 2022-01-01466Phantoms1Mariners7ALSommaire du match
54 - 2022-01-03480Moose8Phantoms2BLSommaire du match
56 - 2022-01-05501Mariners4Phantoms2BLSommaire du match
58 - 2022-01-07516Phantoms0Penguins6ALSommaire du match
60 - 2022-01-09531Phantoms2Bruins5ALSommaire du match
61 - 2022-01-10544Rocket5Phantoms2BLSommaire du match
64 - 2022-01-13566Phantoms3Senators6ALSommaire du match
65 - 2022-01-14574Bears3Phantoms6BWSommaire du match
67 - 2022-01-16597Heat11Phantoms2BLSommaire du match
69 - 2022-01-18614Phantoms7Bears5AWSommaire du match
71 - 2022-01-20631Sound Tigers3Phantoms8BWSommaire du match
73 - 2022-01-22650Penguins9Phantoms1BLSommaire du match
74 - 2022-01-23663Phantoms3Admirals4ALXXSommaire du match
75 - 2022-01-24677Senators5Phantoms6BWSommaire du match
77 - 2022-01-26696Phantoms8Roadrunners1AWSommaire du match
79 - 2022-01-28709Phantoms7Bears3AWSommaire du match
81 - 2022-01-30728 Americans2Phantoms1BLSommaire du match
83 - 2022-02-01744Phantoms1Thunderbirds5ALSommaire du match
84 - 2022-02-02756Rampage 3Phantoms6BWSommaire du match
86 - 2022-02-04772Phantoms4Wild5ALSommaire du match
87 - 2022-02-05789Phantoms8Rampage 7AWSommaire du match
89 - 2022-02-07802Checkers5Phantoms4BLSommaire du match
92 - 2022-02-10825Barracudas2Phantoms9BWSommaire du match
93 - 2022-02-11839Gulls6Phantoms3BLSommaire du match
95 - 2022-02-13858Phantoms3Canucks9ALSommaire du match
96 - 2022-02-14873Canucks8Phantoms2BLSommaire du match
97 - 2022-02-15883Phantoms3Gulls5ALSommaire du match
100 - 2022-02-18906Condors9Phantoms0BLSommaire du match
102 - 2022-02-20920Phantoms1Wolves4ALSommaire du match
103 - 2022-02-21935Thunderbirds10Phantoms1BLSommaire du match
106 - 2022-02-24953Phantoms2Moose5ALSommaire du match
107 - 2022-02-25969Phantoms2Monsters5ALSommaire du match
109 - 2022-02-27981Wolf Pack2Phantoms8BWSommaire du match
111 - 2022-03-01999Phantoms1Griffins4ALSommaire du match
112 - 2022-03-021010Stars4Phantoms6BWSommaire du match
115 - 2022-03-051035Reign5Phantoms1BLSommaire du match
116 - 2022-03-061048Phantoms2Marlies8ALSommaire du match
118 - 2022-03-081069Crunch4Phantoms8BWSommaire du match
119 - 2022-03-091083Phantoms1Comets7ALSommaire du match
122 - 2022-03-121100IceHogs8Phantoms2BLSommaire du match
123 - 2022-03-131113Phantoms0 Americans3ALSommaire du match
124 - 2022-03-141121Phantoms3Reign7ALSommaire du match
126 - 2022-03-161135Phantoms6Stars3AWSommaire du match
127 - 2022-03-171150Eagles3Phantoms6BWSommaire du match
130 - 2022-03-201171Griffins2Phantoms0BLSommaire du match
133 - 2022-03-231192Phantoms2IceHogs9ALSommaire du match
134 - 2022-03-241205Thunderbirds4Phantoms2BLSommaire du match
137 - 2022-03-271229Phantoms0Rocket4ALSommaire du match
138 - 2022-03-281241Wolves6Phantoms1BLSommaire du match
140 - 2022-03-301261Phantoms2Comets6ALSommaire du match
141 - 2022-03-311274Roadrunners4Phantoms5BWSommaire du match
144 - 2022-04-031288Comets4Phantoms5BWSommaire du match
145 - 2022-04-041303Phantoms2Condors10ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets450
Assistance78,97839,034
Assistance PCT96.31%95.20%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2878 - 95.94% 86,683$3,554,010$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,381,556$ 620,000$ 615,000$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
4,189$ 656,618$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 9,088$ 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