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Phantoms
GP: 71 | W: 38 | L: 32 | OTL: 1 | P: 77
GF: 304 | GA: 252 | PP%: 26.56% | PK%: 78.52%
DG: Francois Gamache | Morale : 50 | Moyenne d’équipe : 62
Prochains matchs #1150 vs Griffins
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Centre de jeu
Checkers
17-52-3, 37pts
2
FINAL
6 Phantoms
38-32-1, 77pts
Team Stats
L4StreakW3
11-25-0Home Record24-12-0
6-27-3Away Record14-20-1
2-8-0Last 10 Games5-5-0
3.29Goals Per Game4.28
6.14Goals Against Per Game3.55
36.36%Power Play Percentage26.56%
65.65%Penalty Kill Percentage78.52%
Wild
44-26-2, 90pts
3
FINAL
6 Phantoms
38-32-1, 77pts
Team Stats
L1StreakW3
25-10-1Home Record24-12-0
19-16-1Away Record14-20-1
5-5-0Last 10 Games5-5-0
4.65Goals Per Game4.28
3.32Goals Against Per Game3.55
22.31%Power Play Percentage26.56%
81.16%Penalty Kill Percentage78.52%
Griffins
44-25-2, 90pts
2023-03-25
Phantoms
38-32-1, 77pts
Statistiques d’équipe
SOW1SéquenceW3
22-12-2Fiche domicile24-12-0
22-13-0Fiche visiteur14-20-1
8-2-010 derniers matchs5-5-0
4.06Buts par match 4.28
2.73Buts contre par match 3.55
25.36%Pourcentage en avantage numérique26.56%
76.47%Pourcentage en désavantage numérique78.52%
Rocket
9-62-1, 19pts
2023-03-28
Phantoms
38-32-1, 77pts
Statistiques d’équipe
L5SéquenceW3
7-28-0Fiche domicile24-12-0
2-34-1Fiche visiteur14-20-1
1-9-010 derniers matchs5-5-0
3.03Buts par match 4.28
7.42Buts contre par match 3.55
19.80%Pourcentage en avantage numérique26.56%
60.24%Pourcentage en désavantage numérique78.52%
Phantoms
38-32-1, 77pts
2023-03-30
Senators
48-19-5, 101pts
Statistiques d’équipe
W3SéquenceOTW1
24-12-0Fiche domicile27-6-3
14-20-1Fiche visiteur21-13-2
5-5-010 derniers matchs7-3-0
4.28Buts par match 4.83
3.55Buts contre par match 2.75
26.56%Pourcentage en avantage numérique23.74%
78.52%Pourcentage en désavantage numérique80.00%
Meneurs d'équipe
Jon GilliesVictoires
Jon Gillies
23
Hunter MiskaPourcentage d’arrêts
Hunter Miska
0.94

Statistiques d’équipe
Buts pour
304
4.28 GFG
Tirs pour
2781
39.17 Avg
Pourcentage en avantage numérique
26.6%
34 GF
Début de zone offensive
40.0%
Buts contre
252
3.55 GAA
Tirs contre
2408
33.92 Avg
Pourcentage en désavantage numérique
78.5%
32 GA
Début de la zone défensive
38.5%
Informations de l'équipe

Directeur généralFrancois Gamache
DivisionAtlantique
ConférenceEst
CapitaineBrett Sutter
Assistant #1CJ Suess
Assistant #2Dominik Simon


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 250
Espoirs29


Historique d'équipe

Saison actuelle38-32-1 (77PTS)
Historique504-249-55 (0.624%)
Apparitions en séries éliminatoires 8
Historique en séries éliminatoires (W-L)56-42
Coupe Stanley2


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
1Morgan FrostX100.00593687716680866980686266716367050650221863,333$
2Lukas VejdemoX100.00673893647776756379626465626768050640251750,000$
3Justin RichardsXXX100.007636836771778365716658646265660506402311,425,000$
4Bokondji ImamaX100.00778564598269806056616258576668050620251750,000$
5Dominik Simon (A)X100.00653487637176826078625859646971050620271750,000$
6Brett Sutter (C)XX100.00643981587473935762565559587580050610341650,000$
7CJ Suess (A)X100.00613687567081765764585966576870050610271725,000$
8J.C. BeaudinX100.00683978587774755766595657546567050600241700,000$
9Gabriel FontaineX100.00693985547877675551585457536567050590241700,000$
10German RubtsovX100.00673693587667715358545557536466050590231750,000$
11Samuel Dove-McFalls (R)X100.00734274568275645367585457556567050590241650,000$
12Nicolas BeaudinX100.005938916966798666306765625563650506402211,135,833$
13Steven SantiniX100.00863894628281875630665261506769050630262750,000$
14Dillon HeatheringtonX100.00814182598977785630585764496769050620263750,000$
15Josh WesleyX100.00733977568270865730555458456667050600251650,000$
16Nelson NogierX100.00703982587974665730565559456668050600251725,000$
17Chris BigrasX100.00673987587666715730565554466769050590261650,000$
Rayé
1Gustav OlofssonX100.00714078568069715530585356466870050590262750,000$
MOYENNE D’ÉQUIPE100.0070418460777578595260576055666905061
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
1Jon Gillies100.0077767797767577767577766881050650271750,000$
2Hunter Miska100.0074727375737274737274736777050640261725,000$
Rayé
1Michael Houser100.0075717276747375747375747084050640291750,000$
2Antoine Bibeau100.0070676884696870696870696981050620271750,000$
3Jet Greaves (R)100.00717475727069717069717061650506202010$
4Tyler Wall100.0063676886626163626163626471050580231925,000$
MOYENNE D’ÉQUIPE100.007271728271707271707271677705063
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
1Lukas VejdemoPhantoms (PHI)C7144408414804522939110526611.25%22146120.5957123310300021083064.36%164400021.1502000554
2Nicolas BeaudinPhantoms (PHI)D71146478713531122174531138.05%101171024.085510521120006124000.00%000000.9100001141
3Brett SutterPhantoms (PHI)C/LW7129386715401041142556617211.37%19124217.50000270002383152.20%52300001.0800000426
4CJ SuessPhantoms (PHI)LW71353267284064952518417713.94%18143420.21481228991011217361.90%10500010.9300000413
5Dominik SimonPhantoms (PHI)C712144651810082200304951966.91%12139219.610337320004872162.82%140400010.9302000233
6Bokondji ImamaPhantoms (PHI)LW712536617380194742366117610.59%7120216.94369201050001305156.36%11000011.0112000224
7Steven SantiniPhantoms (PHI)D71114455103802257096336811.46%103168223.705914311120000110110.00%000000.6500000232
8Dillon HeatheringtonPhantoms (PHI)D71114152223401818513055938.46%105145120.4435826970221109010.00%000000.7200000130
9Morgan FrostPhantoms (PHI)C351929483060251321815113110.50%1385124.3407711460112823061.18%93500001.1302000243
10Justin RichardsPhantoms (PHI)C/LW/RW4723234622160931101694214713.61%1595920.4234719671013964157.78%36000000.9602000406
11J.C. BeaudinPhantoms (PHI)C711431457200859314342999.79%11152021.4214514106000001157.82%59500000.5900000012
12German RubtsovPhantoms (PHI)C7121214218806947130356516.15%8117216.5100001000004050.00%8000000.7200000022
13Nelson NogierPhantoms (PHI)D71113142354401068174316114.86%81128918.162021458011057200.00%000000.6500000114
14Chris BigrasPhantoms (PHI)D71437412128077465019418.00%52112215.8100001000042000.00%000000.7300000010
15Josh WesleyPhantoms (PHI)D71624306300135696518369.23%67126217.781237410001630050.00%200000.4800000101
16Gabriel FontainePhantoms (PHI)LW718816-124052258729499.20%75938.35011130001391040.85%7100000.5400000100
17Samuel Dove-McFallsPhantoms (PHI)C5974117140581145103215.56%44677.932021150000031155.26%3800000.4700000000
18Gustav OlofssonPhantoms (PHI)D2000-200120100.00%32110.710000000001000.00%000000.00%00000000
Statistiques d’équipe totales ou en moyenne11373035478502533195162716052781830192210.90%6482083918.333461952761049246241018371160.59%586700050.82110001303241
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
1Jon GilliesPhantoms (PHI)3223900.9262.21190404709490100.00%03236431
2Karel VejmelkaFlyers126510.9233.0572840374830000.90010120401
3Hunter MiskaPhantoms (PHI)54100.9401.803000191490000.00%050100
Statistiques d’équipe totales ou en moyenne49331510.9272.3729324511615810100.900104936932


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 Plafond 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
Antoine BibeauPhantoms (PHI)G271994-05-01No205 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Bokondji ImamaPhantoms (PHI)LW251996-08-03No221 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Brett SutterPhantoms (PHI)C/LW341987-06-02No200 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
CJ SuessPhantoms (PHI)LW271994-03-17No190 Lbs5 ft11NoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
Chris BigrasPhantoms (PHI)D261995-02-22No191 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Dillon HeatheringtonPhantoms (PHI)D261995-05-09No215 Lbs6 ft4NoNoNo3Pro & Farm750,000$0$0$No762,500$762,500$Lien / Lien NHL
Dominik SimonPhantoms (PHI)C271994-08-08No190 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Gabriel FontainePhantoms (PHI)LW241997-04-30No201 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
German RubtsovPhantoms (PHI)C231998-06-27No178 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Gustav OlofssonPhantoms (PHI)D261994-12-01No199 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Hunter MiskaPhantoms (PHI)G261995-07-07No175 Lbs6 ft1NoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
J.C. BeaudinPhantoms (PHI)C241997-03-25No196 Lbs6 ft1NoNoNo1Pro & Farm700,000$0$0$NoLien / Lien NHL
Jet GreavesPhantoms (PHI)G202001-03-30Yes170 Lbs6 ft0NoNoNo1Pro & Farm0$0$NoLien / Lien NHL
Jon GilliesPhantoms (PHI)G271994-01-22No223 Lbs6 ft6NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Josh WesleyPhantoms (PHI)D251996-04-09No195 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Justin RichardsPhantoms (PHI)C/LW/RW231998-03-17No190 Lbs5 ft11NoNoNo1Pro & Farm1,425,000$0$0$NoLien / Lien NHL
Lukas VejdemoPhantoms (PHI)C251996-01-25No198 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Michael HouserPhantoms (PHI)G291992-09-13No185 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Morgan FrostPhantoms (PHI)C221999-05-14No170 Lbs5 ft11NoNoNo1Pro & Farm863,333$0$0$NoLien / Lien NHL
Nelson NogierPhantoms (PHI)D251996-05-27No191 Lbs6 ft2NoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
Nicolas BeaudinPhantoms (PHI)D221999-10-07No168 Lbs5 ft11NoNoNo1Pro & Farm1,135,833$0$0$NoLien / Lien NHL
Samuel Dove-McFallsPhantoms (PHI)C241997-04-10Yes207 Lbs6 ft2NoNoNo1Pro & Farm650,000$0$0$NoLien NHL
Steven SantiniPhantoms (PHI)D261995-03-07No205 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$Lien / Lien NHL
Tyler WallPhantoms (PHI)G231998-01-14No214 Lbs6 ft3NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.25195 Lbs6 ft11.17751,007$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin RichardsMorgan FrostCJ Suess40122
2Bokondji ImamaLukas VejdemoJ.C. Beaudin30122
3Brett SutterDominik SimonGerman Rubtsov20122
4CJ SuessJ.C. BeaudinMorgan Frost10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas BeaudinSteven Santini30122
2Dillon HeatheringtonJosh Wesley30122
3Nelson NogierChris Bigras20122
4Nicolas BeaudinSteven Santini20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Justin RichardsMorgan FrostCJ Suess60122
2Bokondji ImamaLukas VejdemoJ.C. Beaudin40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas BeaudinSteven Santini60122
2Dillon HeatheringtonJosh Wesley40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Morgan FrostJustin Richards60122
2Lukas VejdemoDominik Simon40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas BeaudinSteven Santini60122
2Dillon HeatheringtonJosh Wesley40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Morgan Frost60122Nicolas BeaudinSteven Santini60122
2Justin Richards40122Dillon HeatheringtonJosh Wesley40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Morgan FrostJustin Richards60122
2Lukas VejdemoDominik Simon40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Nicolas BeaudinSteven Santini60122
2Dillon HeatheringtonJosh Wesley40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin RichardsMorgan FrostCJ SuessNicolas BeaudinSteven Santini
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Justin RichardsMorgan FrostCJ SuessNicolas BeaudinSteven Santini
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Gabriel Fontaine, Samuel Dove-McFalls, Brett SutterGabriel Fontaine, Samuel Dove-McFallsBrett Sutter
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nelson Nogier, Chris Bigras, Dillon HeatheringtonNelson NogierChris Bigras, Dillon Heatherington
Tirs de pénalité
Morgan Frost, Justin Richards, Lukas Vejdemo, Dominik Simon, Bokondji Imama
Gardien
#1 : Hunter Miska, #2 : Jon Gillies


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
1Admirals2200000016313110000008081100000083541.000163046011251057221278929739141262158542150.00%4175.00%01439235461.13%1348226659.49%769126460.84%184613411523468901469
2Americans2020000015-41010000002-21010000013-200.00012300125105722418929739141279191842300.00%90100.00%01439235461.13%1348226659.49%769126460.84%184613411523468901469
3Barracuda20200000610-41010000036-31010000034-100.00061218001251057227289297391412791912439333.33%6266.67%01439235461.13%1348226659.49%769126460.84%184613411523468901469
4Bears4220000022211211000001410421100000811-340.500224163001251057221668929739141214335187612541.67%8450.00%01439235461.13%1348226659.49%769126460.84%184613411523468901469
5Bruins20200000613-70000000000020200000613-700.00069150012510572270892973914128817855400.00%4175.00%01439235461.13%1348226659.49%769126460.84%184613411523468901469
6Canucks220000001358110000008351100000052341.0001324370012510572212289297391412761510302150.00%5260.00%01439235461.13%1348226659.49%769126460.84%184613411523468901469
7Checkers3300000016792200000011381100000054161.0001627430012510572212389297391412733312528450.00%5340.00%01439235461.13%1348226659.49%769126460.84%184613411523468901469
8Comets4220000012111211000006512110000066040.500121830011251057221118929739141210027261018225.00%11190.91%01439235461.13%1348226659.49%769126460.84%184613411523468901469
9Condors2200000016313110000009181100000072541.0001630460012510572214289297391412399658100.00%3166.67%01439235461.13%1348226659.49%769126460.84%184613411523468901469
10Crunch3030000059-41010000024-22020000035-200.0005101500125105722878929739141211030125711100.00%50100.00%01439235461.13%1348226659.49%769126460.84%184613411523468901469
11Eagles220000001679110000009631100000071641.00016274300125105722104892973914128127664000.00%30100.00%11439235461.13%1348226659.49%769126460.84%184613411523468901469
12Firebirds220000001921711000000716110000001211141.00019355400125105722133892973914125514105111100.00%50100.00%01439235461.13%1348226659.49%769126460.84%184613411523468901469
13Griffins2010000168-21010000023-11000000145-110.2506101600125105722868929739141266111245100.00%6183.33%11439235461.13%1348226659.49%769126460.84%184613411523468901469
14Gulls21100000550110000003121010000024-220.500591400125105722528929739141278201438300.00%7185.71%01439235461.13%1348226659.49%769126460.84%184613411523468901469
15IceHogs11000000532110000005320000000000021.0005813001251057222989297391412571223011100.00%10100.00%01439235461.13%1348226659.49%769126460.84%184613411523468901469
16Islanders31200000713-6211000005501010000028-620.33371118011251057229889297391412942910611317.69%5180.00%01439235461.13%1348226659.49%769126460.84%184613411523468901469
17Marlies30300000716-91010000014-320200000612-600.00071219001251057228889297391412131331071400.00%40100.00%01439235461.13%1348226659.49%769126460.84%184613411523468901469
18Monsters312000001014-41010000035-22110000079-220.333102030001251057228389297391412100378685120.00%4175.00%01439235461.13%1348226659.49%769126460.84%184613411523468901469
19Moose220000001046110000004131100000063341.000101828001251057228089297391412842014483133.33%6183.33%01439235461.13%1348226659.49%769126460.84%184613411523468901469
20Penguins20200000411-71010000037-41010000014-300.000481200125105722538929739141267134453133.33%2150.00%01439235461.13%1348226659.49%769126460.84%184613411523468901469
21Reign21100000550110000004311010000012-120.5005813001251057226689297391412561812484125.00%6183.33%01439235461.13%1348226659.49%769126460.84%184613411523468901469
22Roadrunners2010001069-3100000103211010000037-420.500691500125105722498929739141290201448200.00%6183.33%01439235461.13%1348226659.49%769126460.84%184613411523468901469
23Rocket2110000012102110000008351010000047-320.500122335001251057221318929739141252152493133.33%110.00%01439235461.13%1348226659.49%769126460.84%184613411523468901469
24Senators21100000310-71010000019-81100000021120.5003580012510572274892973914127815851600.00%30100.00%01439235461.13%1348226659.49%769126460.84%184613411523468901469
25Silver Knights21100000710-3110000005231010000028-620.50071421001251057225389297391412811312535240.00%6266.67%01439235461.13%1348226659.49%769126460.84%184613411523468901469
26Stars11000000972110000009720000000000021.000918270012510572244892973914122710626100.00%3166.67%01439235461.13%1348226659.49%769126460.84%184613411523468901469
27Thunderbirds11000000422110000004220000000000021.000459001251057224389297391412439232200.00%10100.00%01439235461.13%1348226659.49%769126460.84%184613411523468901469
28Wild21100000752110000006331010000012-120.5007132000125105722768929739141246182518112.50%10100.00%01439235461.13%1348226659.49%769126460.84%184613411523468901469
29Wolf Pack31200000871211000007521010000012-120.33381321001251057229089297391412993014457114.29%7271.43%01439235461.13%1348226659.49%769126460.84%184613411523468901469
30Wolves430010002812162200000016214210010001210281.000285280011251057221798929739141212644238944100.00%8275.00%01439235461.13%1348226659.49%769126460.84%184613411523468901469
31Wranglers220000001358110000007521100000060641.000132639011251057221098929739141248218472150.00%4175.00%01439235461.13%1348226659.49%769126460.84%184613411523468901469
Total7136320101130425252362312000101731136035132001001131139-8770.54230454785105125105722278189297391412240864832316281283426.56%1493278.52%21439235461.13%1348226659.49%769126460.84%184613411523468901469
_Since Last GM Reset7136320101130425252362312000101731136035132001001131139-8770.54230454785105125105722278189297391412240864832316281283426.56%1493278.52%21439235461.13%1348226659.49%769126460.84%184613411523468901469
_Vs Conference37132400000117149-3218810000006564119514000005285-33260.351117204321021251057221258892973914121257342152805791721.52%691578.26%01439235461.13%1348226659.49%769126460.84%184613411523468901469
_Vs Division2381000000918921264000005439151126000003750-13160.348911632540312510572278089297391412729215103485521528.85%451273.33%01439235461.13%1348226659.49%769126460.84%184613411523468901469

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
7177W330454785127812408648323162805
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7136321011304252
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3623120010173113
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3513201001131139
Derniers 10 matchs
WLOTWOTL SOWSOL
550000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1283426.56%1493278.52%2
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
89297391412125105722
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
1439235461.13%1348226659.49%769126460.84%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
184613411523468901469


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 - 2022-10-1312Comets0Phantoms2BWSommaire du match
9 - 2022-10-1526Canucks3Phantoms8BWSommaire du match
12 - 2022-10-1853Phantoms2Crunch3ALSommaire du match
13 - 2022-10-1956Phantoms5Checkers4AWSommaire du match
16 - 2022-10-2283Phantoms8Admirals3AWSommaire du match
17 - 2022-10-2391Barracuda6Phantoms3BLSommaire du match
21 - 2022-10-27112Checkers1Phantoms5BWSommaire du match
23 - 2022-10-29132Wolves2Phantoms10BWSommaire du match
26 - 2022-11-01149Phantoms1Wolf Pack2ALSommaire du match
27 - 2022-11-02159Phantoms2Marlies4ALSommaire du match
30 - 2022-11-05183Phantoms2Senators1AWSommaire du match
33 - 2022-11-08199Thunderbirds2Phantoms4BWSommaire du match
35 - 2022-11-10214Phantoms3Monsters2AWSommaire du match
37 - 2022-11-12225Senators9Phantoms1BLSommaire du match
38 - 2022-11-13238Stars7Phantoms9BWSommaire du match
40 - 2022-11-15250Phantoms4Monsters7ALSommaire du match
42 - 2022-11-17265Phantoms2Bruins8ALSommaire du match
44 - 2022-11-19281Phantoms4Rocket7ALSommaire du match
46 - 2022-11-21292Wranglers5Phantoms7BWSommaire du match
48 - 2022-11-23312Phantoms1Bears8ALSommaire du match
50 - 2022-11-25324Penguins7Phantoms3BLSommaire du match
51 - 2022-11-26337Phantoms2Islanders8ALSommaire du match
54 - 2022-11-29353Islanders5Phantoms3BLSommaire du match
56 - 2022-12-01367Crunch4Phantoms2BLSommaire du match
58 - 2022-12-03382Comets5Phantoms4BLSommaire du match
60 - 2022-12-05397Eagles6Phantoms9BWSommaire du match
62 - 2022-12-07413Bears6Phantoms4BLSommaire du match
64 - 2022-12-09432Phantoms2Silver Knights8ALSommaire du match
66 - 2022-12-11445Phantoms3Roadrunners7ALSommaire du match
68 - 2022-12-13464Phantoms7Eagles1AWSommaire du match
70 - 2022-12-15473Phantoms2Comets4ALSommaire du match
72 - 2022-12-17489Wolf Pack3Phantoms2BLSommaire du match
75 - 2022-12-20510Monsters5Phantoms3BLSommaire du match
77 - 2022-12-22525Phantoms4Marlies8ALSommaire du match
78 - 2022-12-23535Phantoms8Wolves7AWXSommaire du match
84 - 2022-12-29573Phantoms3Barracuda4ALSommaire du match
86 - 2022-12-31580Phantoms1Reign2ALSommaire du match
88 - 2023-01-02597Phantoms2Gulls4ALSommaire du match
91 - 2023-01-05612Roadrunners2Phantoms3BWXXSommaire du match
94 - 2023-01-08643Marlies4Phantoms1BLSommaire du match
97 - 2023-01-11659Bears4Phantoms10BWSommaire du match
100 - 2023-01-14681Phantoms7Bears3AWSommaire du match
102 - 2023-01-16695Phantoms4Bruins5ALSommaire du match
103 - 2023-01-17705Gulls1Phantoms3BWSommaire du match
105 - 2023-01-19719IceHogs3Phantoms5BWSommaire du match
107 - 2023-01-21735Phantoms4Griffins5ALXXSommaire du match
108 - 2023-01-22749Moose1Phantoms4BWSommaire du match
110 - 2023-01-24757Reign3Phantoms4BWSommaire du match
112 - 2023-01-26779Phantoms1Wild2ALSommaire du match
114 - 2023-01-28790Phantoms6Moose3AWSommaire du match
123 - 2023-02-06807Islanders0Phantoms2BWSommaire du match
126 - 2023-02-09822Condors1Phantoms9BWSommaire du match
128 - 2023-02-11836Admirals0Phantoms8BWSommaire du match
129 - 2023-02-12848Firebirds1Phantoms7BWSommaire du match
133 - 2023-02-16876Phantoms12Firebirds1AWSommaire du match
135 - 2023-02-18890Phantoms5Canucks2AWSommaire du match
137 - 2023-02-20905Phantoms6Wranglers0AWSommaire du match
138 - 2023-02-21916Phantoms7Condors2AWSommaire du match
141 - 2023-02-24932Rocket3Phantoms8BWSommaire du match
142 - 2023-02-25941Phantoms4Comets2AWSommaire du match
146 - 2023-03-01968Wolf Pack2Phantoms5BWSommaire du match
149 - 2023-03-04990Phantoms1Americans3ALSommaire du match
150 - 2023-03-051003Griffins3Phantoms2BLSommaire du match
152 - 2023-03-071014Phantoms1Crunch2ALSommaire du match
154 - 2023-03-091030Phantoms4Wolves3AWSommaire du match
156 - 2023-03-111039Phantoms1Penguins4ALSommaire du match
159 - 2023-03-141066Silver Knights2Phantoms5BWSommaire du match
162 - 2023-03-171091Americans2Phantoms0BLSommaire du match
163 - 2023-03-181099Wolves0Phantoms6BWSommaire du match
166 - 2023-03-211122Checkers2Phantoms6BWSommaire du match
168 - 2023-03-231136Wild3Phantoms6BWSommaire du match
170 - 2023-03-251150Griffins-Phantoms-
173 - 2023-03-281177Rocket-Phantoms-
175 - 2023-03-301193Phantoms-Senators-
177 - 2023-04-011206Americans-Phantoms-
178 - 2023-04-021221Phantoms-Penguins-
180 - 2023-04-041234Phantoms-Thunderbirds-
182 - 2023-04-061252Phantoms-Stars-
184 - 2023-04-081268Phantoms-Islanders-
185 - 2023-04-091273Bruins-Phantoms-
187 - 2023-04-111287Monsters-Phantoms-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
189 - 2023-04-131306Phantoms-IceHogs-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-27 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,570,151$ 1,802,416$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 1,570,151$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 20 9,537$ 190,740$




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
Saison régulière
28251200424128519293412410031211489553412710011201379740121285506791090113719327190933870895215264496314483918421.48%3926184.44%31672284958.69%1431258355.40%755128558.75%2133147217626061065558
382452803213240188524124150101011991284121130220312197241032404236634609870682942010089849312366711100117103185316.67%4266784.27%51842307159.98%1597273058.50%698121157.64%2120149117996011031529
48247250025326817692412790012214076644120160013112810028109268475743150116737429620101991599924707601592203558810317.52%6619186.23%111884321958.53%1788316756.46%703124856.33%1975131119416661048525
5825519012322841791054126900222146955141291001010138845412228450679009012083773080098010301054224061454519562234419.73%2445477.87%31832294362.25%1372248755.17%729125058.32%2216162617245441014530
68239340213329520986411918010121511104141201601121144994592295536831530123858233010107010451154278279449521752154621.40%2142886.92%31456310946.83%1328294045.17%632127949.41%2179157517705381010531
782472001257320197123413080001217884944117120124514211329115320563883280138938335990116611871200278282449321712074220.29%2133484.04%51741324553.65%1472297749.45%743133255.78%2194160417765451011525
8823831011293592827741181700114166140264120140101519314251923595679261301561168438640127313071248339499638618541783318.54%1713480.12%41794319956.08%1719319953.74%799140956.71%204815211967532963481
98254140123843925818141344000212431121314120100121719614650126439772121106018414510642940142414281398299986746318682044924.02%2024080.20%22166352161.52%1695296357.21%887145161.13%220916481796528972501
108246260233231124566411913023221391102941271300010172135371073115398502312096906325010851027111942279680538620131873619.25%1572882.17%11553311249.90%1433287649.83%671134749.81%2050148519085591003507
117136320101130425252362312000101731136035132001001131139-87730454785105125105722278189297391412240864832316281283426.56%1493278.52%21439235461.13%1348226659.49%769126460.84%184613411523468901469
Total Saison régulière8094582490161730393105217892740524411507815161603102657740421413409915231502115235010643105543485391557245124989867532792197710873107998933263897663664718858263952419.86%282946983.42%39173793062256.75%151832818853.86%73861307656.49%2097515078179705592100235161
Séries éliminatoires
21165000003435-16420000020164523000001419-51234629600010121130709710310637992168193501224.00%571082.46%015533146.83%16039540.51%8217147.95%2541762688013967
32316700000745420108200000302010138500000443410327413320711023183081002612572776782043704901141614.04%1442483.33%249688655.98%44382453.76%19635255.68%561380557180305151
4116500000292545320000015123633000001413112295180110710103670122981273951172852866868.82%1131190.27%125545056.67%25147952.40%9715961.01%2681722829314267
5624000001521-631200000912-33120000069-3415264100064316805440432204810617618738.89%35974.29%06221029.52%7824831.45%329434.04%14293187528538
6514000001718-12110000086230300000912-32173148000944134051344921056381481300.00%19478.95%04115326.80%7521335.21%247830.77%9963139386128
71165000003435-16420000019145523000001521-61234609401011101046701261601553771218726440820.00%38878.95%027248456.20%21438855.15%9917556.57%2992192487413367
92416800000916724141040000060411910640000031265329116525601031302710510358343305919240129606781924.36%53786.79%0595103757.38%51594954.27%21038953.98%634454566176313160
107340000020200413000001013-33210000010736203454007760196677158020181581461218.33%26773.08%011720856.25%11522451.34%5610752.34%167115164518844
Total Séries éliminatoires9856420000031427539503218000001711343748242400000143141211231456287624710494953500671140109310623379959124123093936917.56%4858083.51%31993375953.02%1851372049.76%796152552.20%2426167524137471270625