Connexion

Phantoms
GP: 18 | W: 9 | L: 8 | OTL: 1 | P: 19
GF: 61 | GA: 59 | PP%: 15.49% | PK%: 72.55%
DG: Frank Grimard | Morale : 50 | Moyenne d’équipe : 66
Prochain matchs #309 vs Checkers
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Centre de jeu
Phantoms
9-8-1, 19pts
6
FINAL
3 W-B/Scranton Penguins
7-11-1, 15pts
Team Stats
L1StreakL1
4-5-1Home Record3-5-1
5-3-0Away Record4-6-0
6-4-0Last 10 Games4-6-0
3.39Buts par match 3.16
3.28Buts contre par match 4.26
15.49%Pourcentage en avantage numérique25.00%
72.55%Pourcentage en désavantage numérique78.08%
Thunderbirds
10-5-3, 23pts
3
FINAL
1 Phantoms
9-8-1, 19pts
Team Stats
W1StreakL1
4-4-1Home Record4-5-1
6-1-2Away Record5-3-0
5-2-3Last 10 Games6-4-0
3.83Buts par match 3.39
3.56Buts contre par match 3.28
27.12%Pourcentage en avantage numérique15.49%
79.63%Pourcentage en désavantage numérique72.55%
Phantoms
9-8-1, 19pts
2022-11-29
Checkers
7-10-2, 16pts
Statistiques d’équipe
L1SéquenceL2
4-5-1Fiche domicile3-5-1
5-3-0Fiche visiteur4-5-1
6-4-010 derniers matchs3-7-0
3.39Buts par match 2.84
3.28Buts contre par match 3.47
15.49%Pourcentage en avantage numérique17.11%
72.55%Pourcentage en désavantage numérique78.48%
islanders
9-8-2, 20pts
2022-12-02
Phantoms
9-8-1, 19pts
Statistiques d’équipe
SOL1SéquenceL1
4-3-2Fiche domicile4-5-1
5-5-0Fiche visiteur5-3-0
4-5-110 derniers matchs6-4-0
3.74Buts par match 3.39
3.74Buts contre par match 3.28
26.67%Pourcentage en avantage numérique15.49%
80.88%Pourcentage en désavantage numérique72.55%
Phantoms
9-8-1, 19pts
2022-12-05
Wolf Pack
11-6-2, 24pts
Statistiques d’équipe
L1SéquenceW2
4-5-1Fiche domicile6-3-0
5-3-0Fiche visiteur5-3-2
6-4-010 derniers matchs5-3-2
3.39Buts par match 4.42
3.28Buts contre par match 3.53
15.49%Pourcentage en avantage numérique24.24%
72.55%Pourcentage en désavantage numérique77.61%
Meneurs d'équipe
Buts
Adam Ruzicka
2
Passes
Adam Ruzicka
6
Points
Adam Ruzicka
8
Plus/Moins
Adam Ruzicka
3
Victoires
Ken Appleby
6
Pourcentage d’arrêts
Adam Scheel
0.91

Statistiques d’équipe
Buts pour
61
3.39 GFG
Tirs pour
685
38.06 Avg
Pourcentage en avantage numérique
15.5%
11 GF
Début de zone offensive
43.3%
Buts contre
59
3.28 GAA
Tirs contre
610
33.89 Avg
Pourcentage en désavantage numérique
72.5%
14 GA
Début de la zone défensive
39.4%
Information d’équipe

Directeur généralFrank Grimard
EntraîneurRémi Girard
DivisionMETROPOLITAINE
ConférenceEST
CapitaineGerald Mayhew
Assistant #1Kurtis MacDermid
Assistant #2Riley Barber


Informations de l’aréna

Capacité3,000
Assistance2,384
Billets de saison300


Information formation

Équipe Pro31
Équipe Mineure21
Limite contact 52 / 55
Espoirs27


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
1Andrew Poturalski0X100.00583693646987886677686259656873050690282937,500$
2Joachim Blichfeld0XX97.00643881677982836657626761696466050690241790,000$
3Glenn Gawdin0X100.00713987637680826475655861596567050680253795,000$
4Dylan Holloway0XX100.006939856578916268706459616663620506802131,441,667$
5Gerald Mayhew (C)0XX99.006835946662737466686466656677720506802911,003,000$
6Riley Barber (A)0X100.006438846274807863666164596769700506702811,000,000$
7Ben Jones0X98.007139736172808759665860556264650506602321,254,000$
8Gage Quinney0X100.006037926172896863566164596267690506602711,062,500$
9David Cotton0X100.007139855780798258625659586165670506502511,093,000$
10Tyce Thompson0X100.006340875972796658676157625663650506502311,125,000$
11Jamieson Rees0X100.00583776596778875866575654596163050630213910,833$
12Josh Mahura0X100.007034887069857669307063595463650507002421,188,000$
13Kurtis MacDermid (A)0X100.00778961599674835730605866516870050690281902,000$
14Jakub Galvas0X100.00623581636883876230615866526367050670233925,000$
15Santeri Hatakka0X100.00603883647677746030655864506163050670213925,000$
16Dmitri Samorukov0X100.00683882628173776030595856496365050660231863,333$
17Cavan Fitzgerald0X100.00663891577571825630555458456668050630261861,000$
Rayé
1Vasily Podkolzin0X99.006435827275818370566467587161640507002131,775,000$
2Michal Teply0X100.00723894578179835561595660576163050650212919,167$
3Ben McCartney0X100.00793966587184825658575960586163050650213813,333$
4Jonathan Davidsson0X100.00583595597063666156605859616764050630251850,000$
5Aarne Talvitie0X100.00633792557268885461555657586365050620231925,000$
6Lukas Rousek0X100.00583692636874655952575553596365050620233830,000$
7Tye Felhaber0X100.00593788566870675351545652576466050600241867,000$
8Ryan O'Rourke0X100.00615471567079845830575356455962050630203894,167$
9Brennan Menell0X100.00613473576866675930585257456567050620253806,000$
10Matthew Kessel (R)0X100.00723883548166645230565052456264050610221700,000$
MOYENNE D’ÉQUIPE99.7465408461747777605260595957646605066
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
1Ken Appleby100.0073686788727173727173726777050750271700,000$
2Adam Scheel100.0070737482696870696870696369050720233910,000$
Rayé
1Ryan Fanti100.0067646582666567666567666369050690234950,000$
2Kirill Ustimenko100.0066686781656466656466656369050680232925,000$
MOYENNE D’ÉQUIPE100.006968688368676968676968647105071
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rémi Girard75757575757575Can7250$


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
1Gerald MayhewPhantoms (PHI)LW/RW184111582022307319665.48%634419.1502211530002351047.83%2300000.8700000020
2Joachim BlichfeldPhantoms (PHI)LW/RW186814211524206418559.38%036320.1912315660001271045.10%5100100.7701100001
3Dylan HollowayPhantoms (PHI)C/LW18771476033337918508.86%434118.9702218680000141053.33%3000010.8200000130
4Santeri HatakkaPhantoms (PHI)D1841014260231630112213.33%2838921.633251662011039000.00%000000.7200000101
5Vasily PodkolzinPhantoms (PHI)RW184101444025346217516.45%534219.0021313570000100039.53%4300000.8211000100
6Andrew PoturalskiPhantoms (PHI)C18581360012486217418.06%334118.972241367000080156.11%48300000.7600000102
7Josh MahuraPhantoms (PHI)D18491310120343136154011.11%2242323.541121960011039200.00%000000.6100000010
8Glenn GawdinPhantoms (PHI)C185510-12026394683710.87%426014.49000011013340058.36%36500000.7700000010
9Kurtis MacDermidPhantoms (PHI)D182810424049213313256.06%2340422.481121862000031000.00%000000.4900000010
10Jakub GalvasPhantoms (PHI)D181910-4401419174365.88%2437921.08123964000036000.00%000000.5300000100
11Gage QuinneyPhantoms (PHI)LW184610-200112335112211.43%122412.4500000000000180.00%2000000.8900000001
12Adam RuzickaFlyersC1526832027444516414.44%430820.540228520000280048.85%43400000.5211000000
13Riley BarberPhantoms (PHI)RW18358-2401512328359.38%122412.4701100000001036.36%1100000.7100000010
14Cavan FitzgeraldPhantoms (PHI)D18145-218024974814.29%2128615.9300000000014000.00%000000.3500000000
15Dmitri SamorukovPhantoms (PHI)D18314-2603117931233.33%1128315.770000500003000.00%000000.2800000100
16Ben JonesPhantoms (PHI)C16123-411592018895.56%11388.6700019000001048.61%14400000.4300001000
17Jamieson ReesPhantoms (PHI)C21120200641325.00%03517.6601104000031056.60%5300001.1300000010
18Michal TeplyPhantoms (PHI)RW16202-500181921610.53%31076.7100000000000166.67%900000.3700000000
19David CottonPhantoms (PHI)C51011000231333.33%0193.990000000000000.00%000001.0000000000
20Ben McCartneyPhantoms (PHI)LW15011-56014911590.00%21087.2200000000000041.67%1200000.1800000000
Statistiques d’équipe totales ou en moyenne3216011117120120103944416851995818.76%163532716.6011193014163912363288353.28%167800110.64231016105
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
1Ken ApplebyPhantoms (PHI)126500.9013.2568421373750001.0002126101
2Adam ScheelPhantoms (PHI)73310.9103.1540001212340010.0000612200
Statistiques d’équipe totales ou en moyenne199810.9053.21108522586090011.00021818301


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 restantSalaire moyenPlafond 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
Aarne TalvitiePhantoms (PHI)C231999-02-11No198 Lbs5 ft11NoNoNo1Pro & Farm925,000$711,155$925,000$0$0$NoLien
Adam ScheelPhantoms (PHI)G231999-05-01No192 Lbs6 ft3NoNoNo3Pro & Farm910,000$699,623$910,000$0$0$No910,000$910,000$Lien
Andrew PoturalskiPhantoms (PHI)C281994-01-14No183 Lbs5 ft10NoNoNo2Pro & Farm937,500$720,766$2,175,167$0$0$No937,500$Lien
Ben JonesPhantoms (PHI)C231999-02-26No187 Lbs6 ft0NoNoNo2Pro & Farm1,254,000$964,096$1,156,250$0$0$No1,026,000$Lien
Ben McCartneyPhantoms (PHI)LW212001-07-13No182 Lbs6 ft0NoNoNo3Pro & Farm813,333$625,304$700,000$0$0$No813,333$813,333$Lien
Brennan MenellPhantoms (PHI)D251997-05-24No177 Lbs5 ft11NoNoNo3Pro & Farm806,000$619,666$650,000$0$0$No806,000$806,000$Lien
Cavan FitzgeraldPhantoms (PHI)D261996-08-23No190 Lbs6 ft1NoNoNo1Pro & Farm861,000$661,951$0$0$NoLien
David CottonPhantoms (PHI)C251997-07-09No200 Lbs6 ft2NoNoNo1Pro & Farm1,093,000$840,317$600,000$0$0$NoLien
Dmitri SamorukovPhantoms (PHI)D231999-06-16No188 Lbs6 ft3NoNoNo1Pro & Farm863,333$663,745$825,002$0$0$NoLien
Dylan HollowayPhantoms (PHI)C/LW212001-09-23No203 Lbs6 ft1NoNoNo3Pro & Farm1,441,667$1,108,378$700,000$0$0$No1,441,667$1,441,667$Lien
Gage QuinneyPhantoms (PHI)LW271995-07-29No200 Lbs5 ft11NoNoNo1Pro & Farm1,062,500$816,868$750,000$0$0$NoLien
Gerald MayhewPhantoms (PHI)LW/RW291992-12-31No161 Lbs5 ft9NoNoNo1Pro & Farm1,003,000$771,123$650,000$0$0$NoLien
Glenn GawdinPhantoms (PHI)C251997-03-25No191 Lbs6 ft1NoNoNo3Pro & Farm795,000$611,209$650,000$0$0$No700,000$700,000$Lien
Jakub GalvasPhantoms (PHI)D231999-06-15No161 Lbs5 ft11NoNoNo3Pro & Farm925,000$711,155$700,000$0$0$No925,000$925,000$Lien
Jamieson ReesPhantoms (PHI)C212001-02-26No172 Lbs5 ft11NoNoNo3Pro & Farm910,833$700,264$700,000$0$0$No910,833$910,833$Lien
Joachim BlichfeldPhantoms (PHI)LW/RW241998-07-17No180 Lbs6 ft2NoNoNo1Pro & Farm790,000$607,365$736,666$0$0$NoLien
Jonathan DavidssonPhantoms (PHI)RW251997-03-12No185 Lbs5 ft11NoNoNo1Pro & Farm850,000$653,494$768,334$0$0$NoLien
Josh MahuraPhantoms (PHI)D241998-05-05No185 Lbs6 ft0NoNoNo2Pro & Farm1,188,000$913,354$650,000$0$0$No1,188,000$Lien
Ken ApplebyPhantoms (PHI)G271995-04-10No210 Lbs6 ft4NoNoNo1Pro & Farm700,000$538,172$700,000$0$0$NoLien
Kirill UstimenkoPhantoms (PHI)G231999-01-29No187 Lbs6 ft3NoNoNo2Pro & Farm925,000$711,155$925,000$0$0$No925,000$Lien
Kurtis MacDermidPhantoms (PHI)D281994-03-25No233 Lbs6 ft5NoNoNo1Pro & Farm902,000$693,473$0$0$NoLien
Lukas RousekPhantoms (PHI)RW231999-04-20No171 Lbs5 ft11NoNoNo3Pro & Farm830,000$638,118$700,000$0$0$No830,000$830,000$Lien
Matthew KesselPhantoms (PHI)D222000-06-23Yes205 Lbs6 ft2NoNoNo1Pro & Farm700,000$538,172$700,000$0$0$No
Michal TeplyPhantoms (PHI)RW212001-05-27No187 Lbs6 ft3NoNoNo2Pro & Farm919,167$706,671$919,167$0$0$No919,167$Lien
Riley BarberPhantoms (PHI)RW281994-02-07No199 Lbs6 ft0NoNoNo1Pro & Farm1,000,000$768,817$0$0$NoLien
Ryan FantiPhantoms (PHI)G231999-10-03No194 Lbs6 ft3NoNoNo4Pro & Farm950,000$730,376$950,000$0$0$No950,000$950,000$950,000$Lien
Ryan O'RourkePhantoms (PHI)D202002-05-16No178 Lbs6 ft0NoNoNo3Pro & Farm894,167$687,450$700,000$0$0$No894,167$894,167$Lien
Santeri HatakkaPhantoms (PHI)D212001-01-15No191 Lbs6 ft1NoNoNo3Pro & Farm925,000$711,155$700,000$0$0$No925,000$925,000$Lien
Tyce ThompsonPhantoms (PHI)RW231999-07-12No175 Lbs6 ft1NoNoNo1Pro & Farm1,125,000$864,919$1,125,000$0$0$NoLien
Tye FelhaberPhantoms (PHI)LW241998-08-05No180 Lbs5 ft11NoNoNo1Pro & Farm867,000$666,564$925,001$0$0$NoLien
Vasily PodkolzinPhantoms (PHI)RW212001-06-24No190 Lbs6 ft1NoNoNo3Pro & Farm1,775,000$1,364,650$700,000$0$0$No1,775,000$1,775,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3123.87188 Lbs6 ft11.97965,855$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joachim BlichfeldJamieson Rees30113
2Dylan HollowayAndrew PoturalskiGerald Mayhew30113
3Gage QuinneyGlenn GawdinRiley Barber24122
4David CottonBen Jones16122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MahuraSanteri Hatakka33131
2Jakub GalvasKurtis MacDermid31131
3Dmitri SamorukovCavan Fitzgerald29131
4Josh MahuraKurtis MacDermid7122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joachim BlichfeldAndrew PoturalskiDylan Holloway55113
2Gerald MayhewJamieson Rees45113
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MahuraKurtis MacDermid45113
2Jakub GalvasSanteri Hatakka55113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Glenn GawdinGerald Mayhew55131
2Jamieson ReesJoachim Blichfeld45131
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jakub GalvasKurtis MacDermid45140
2Santeri HatakkaJosh Mahura55140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Glenn Gawdin45041Jakub GalvasKurtis MacDermid55140
2Dylan Holloway55041Santeri HatakkaJosh Mahura45140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Andrew PoturalskiDylan Holloway45113
2Jamieson Rees55113
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Josh MahuraKurtis MacDermid55122
2Jakub GalvasSanteri Hatakka45122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joachim BlichfeldJamieson ReesJosh MahuraKurtis MacDermid
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dylan HollowayJamieson ReesJoachim BlichfeldJakub GalvasKurtis MacDermid
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Andrew Poturalski, Glenn Gawdin, Ben JonesBen Jones, Jamieson ReesDylan Holloway
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jakub Galvas, Dmitri Samorukov, Josh MahuraDmitri SamorukovCavan Fitzgerald, Dmitri Samorukov
Tirs de pénalité
Jamieson Rees, Joachim Blichfeld, , Riley Barber, Dylan Holloway
Gardien
#1 : Ken Appleby, #2 : Adam Scheel
Lignes d’attaque personnalisées en prolongation
Jamieson Rees, , Joachim Blichfeld, Andrew Poturalski, Gerald Mayhew, Glenn Gawdin, Glenn Gawdin, Riley Barber, Dylan Holloway, Gage Quinney, Ben Jones
Lignes de défense personnalisées en prolongation
Josh Mahura, Kurtis MacDermid, Jakub Galvas, Santeri Hatakka, Dmitri Samorukov


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
1Bears2110000046-2110000003121010000015-420.500459002516183852402182219782012427114.29%5180.00%039472154.65%34665752.66%15428853.47%442311414133231115
2Comets211000007701010000034-11100000043120.50071320002516183852402182219902014475120.00%7442.86%039472154.65%34665752.66%15428853.47%442311414133231115
3Monsters20200000710-31010000045-11010000035-200.0007121910251618369240218221975218467114.29%4175.00%039472154.65%34665752.66%15428853.47%442311414133231115
4Moose11000000202110000002020000000000021.000246012516183352402182219187625600.00%30100.00%139472154.65%34665752.66%15428853.47%442311414133231115
5Thunderbirds1010000013-21010000013-20000000000000.00012300251618331240218221943141027200.00%5180.00%039472154.65%34665752.66%15428853.47%442311414133231115
6W-B/Scranton Penguins3200010016881000010045-122000000123950.83316294501251618311224021822198321125914321.43%6266.67%039472154.65%34665752.66%15428853.47%442311414133231115
7Wolf Pack3110100013130210010009631010000047-340.667132639002516183107240218221910427316611327.27%13561.54%039472154.65%34665752.66%15428853.47%442311414133231115
8Wolves2110000056-11010000014-31100000042220.50051015002516183802402182219661817461119.09%50100.00%039472154.65%34665752.66%15428853.47%442311414133231115
9islanders201000106601010000023-11000001043120.50061016002516183812402182219531512368112.50%30100.00%039472154.65%34665752.66%15428853.47%442311414133231115
Total187801110615921035011002931-28430001032284190.528611111721225161836852402182219610163122394711115.49%511472.55%139472154.65%34665752.66%15428853.47%442311414133231115
_Since Last GM Reset187801110615921035011002931-28430001032284190.528611111721225161836852402182219610163122394711115.49%511472.55%139472154.65%34665752.66%15428853.47%442311414133231115
_Vs Conference16670111058562824011002628-28430001032284170.531581051631125161836192402182219549142106342631117.46%431369.77%039472154.65%34665752.66%15428853.47%442311414133231115
_Vs Division16670111058562824011002628-28430001032284170.531581051631125161836192402182219549142106342631117.46%431369.77%039472154.65%34665752.66%15428853.47%442311414133231115

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1819L16111117268561016312239412
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
187811106159
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
103511002931
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
84300103228
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
711115.49%511472.55%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
24021822192516183
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
39472154.65%34665752.66%15428853.47%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
442311414133231115


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 - 2022-10-162Comets4Phantoms3BLSommaire du match
4 - 2022-10-1926Phantoms4Wolves2AWSommaire du match
6 - 2022-10-2143islanders3Phantoms2BLSommaire du match
8 - 2022-10-2358Phantoms4islanders3AWXXSommaire du match
11 - 2022-10-2674Monsters5Phantoms4BLSommaire du match
14 - 2022-10-2999Phantoms6W-B/Scranton Penguins0AWSommaire du match
16 - 2022-10-31107W-B/Scranton Penguins5Phantoms4BLXSommaire du match
18 - 2022-11-02120Phantoms1Bears5ALSommaire du match
20 - 2022-11-04126Phantoms4Comets3AWSommaire du match
22 - 2022-11-06149Bears1Phantoms3BWSommaire du match
24 - 2022-11-08167Phantoms3Monsters5ALSommaire du match
25 - 2022-11-09181Moose0Phantoms2BWSommaire du match
29 - 2022-11-13201Wolf Pack3Phantoms5BWSommaire du match
33 - 2022-11-17223Phantoms4Wolf Pack7ALSommaire du match
36 - 2022-11-20236Wolves4Phantoms1BLSommaire du match
38 - 2022-11-22258Wolf Pack3Phantoms4BWXSommaire du match
39 - 2022-11-23270Phantoms6W-B/Scranton Penguins3AWSommaire du match
43 - 2022-11-27292Thunderbirds3Phantoms1BLSommaire du match
45 - 2022-11-29309Phantoms-Checkers-
48 - 2022-12-02330islanders-Phantoms-
51 - 2022-12-05350Phantoms-Wolf Pack-
52 - 2022-12-06363Americans-Phantoms-
57 - 2022-12-11386Wolf Pack-Phantoms-
59 - 2022-12-13402Phantoms-Wranglers-
62 - 2022-12-16421islanders-Phantoms-
64 - 2022-12-18447Marlies-Phantoms-
66 - 2022-12-20463Phantoms-Americans-
68 - 2022-12-22473Phantoms-Canucks-
70 - 2022-12-24484Wolves-Phantoms-
74 - 2022-12-28498Phantoms-Americans-
76 - 2022-12-30510Phantoms-Reign-
77 - 2022-12-31523Binghamton Senateurs-Phantoms-
80 - 2023-01-03544Phantoms-Bears-
83 - 2023-01-06554W-B/Scranton Penguins-Phantoms-
85 - 2023-01-08571Phantoms-Comets-
86 - 2023-01-09584Rockets-Phantoms-
88 - 2023-01-11603W-B/Scranton Penguins-Phantoms-
91 - 2023-01-14613Phantoms-Gulls-
92 - 2023-01-15635Admirals-Phantoms-
94 - 2023-01-17651Phantoms-Wranglers-
97 - 2023-01-20670Phantoms-Canucks-
99 - 2023-01-22679Crunch-Phantoms-
101 - 2023-01-24697Phantoms-Rockets-
102 - 2023-01-25713Roadrunners-Phantoms-
104 - 2023-01-27732Phantoms-Eagles-
106 - 2023-01-29743Checkers-Phantoms-
107 - 2023-01-30758Phantoms-Iowa Wild-
109 - 2023-02-01777Iowa Wild-Phantoms-
111 - 2023-02-03790Phantoms-IceHogs-
113 - 2023-02-05803Phantoms-Wolf Pack-
115 - 2023-02-07816Phantoms-Binghamton Senateurs-
116 - 2023-02-08821Comets-Phantoms-
121 - 2023-02-13847Firebirds-Phantoms-
122 - 2023-02-14867Phantoms-Monsters-
126 - 2023-02-18881Moose-Phantoms-
128 - 2023-02-20901IceHogs-Phantoms-
130 - 2023-02-22924Phantoms-Texas Stars-
131 - 2023-02-23933Checkers-Phantoms-
136 - 2023-02-28955Phantoms-Bears-
137 - 2023-03-01969Wolves-Phantoms-
139 - 2023-03-03982Phantoms-Moose-
142 - 2023-03-061001Comets-Phantoms-
145 - 2023-03-091023Phantoms-Comets-
146 - 2023-03-101033Providence Bruins-Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2023-03-131056Phantoms-W-B/Scranton Penguins-
150 - 2023-03-141062Phantoms-Monsters-
151 - 2023-03-151070Bears-Phantoms-
153 - 2023-03-171085Phantoms-Crunch-
155 - 2023-03-191098Bears-Phantoms-
157 - 2023-03-211107Phantoms-Griffins-
159 - 2023-03-231128Phantoms-Marlies-
161 - 2023-03-251139Condors-Phantoms-
163 - 2023-03-271150Phantoms-Providence Bruins-
165 - 2023-03-291174Barracuda-Phantoms-
170 - 2023-04-031198Griffins-Phantoms-
173 - 2023-04-061223Silver Knights-Phantoms-
174 - 2023-04-071233Phantoms-islanders-
176 - 2023-04-091240Phantoms-Wolves-
178 - 2023-04-111259Phantoms-islanders-
180 - 2023-04-131268Phantoms-Wolves-
181 - 2023-04-141279Monsters-Phantoms-
184 - 2023-04-171301Monsters-Phantoms-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance14,4819,355
Assistance PCT72.41%93.55%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
31 2384 - 79.45% 96,427$964,269$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,994,150$ 2,329,059$ 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
2,989,234$ 143 16,098$ 2,302,014$




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