Votre version du STHS est obsolète! Veuillez mettre à jour votre version du STHS!
Please rotate your device to landscape mode for a better experience.
Connexion

Phantoms
GP: 82 | W: 55 | L: 22 | OTL: 5 | P: 115
GF: 341 | GA: 155 | PP%: 19.48% | PK%: 88.00%
DG: Mark S | Morale : 50 | Moyenne d’équipe : 59

Centre de jeu
Silver Knights
62-17-3, 127pts
3
FINAL
4 Phantoms
55-22-5, 115pts
Team Stats
W1SéquenceW2
33-8-0Fiche domicile30-9-2
29-9-3Fiche domicile25-13-3
8-2-0Derniers 10 matchs7-3-0
4.40Buts par match 4.16
1.78Buts contre par match 1.89
19.95%Pourcentage en avantage numérique19.48%
88.70%Pourcentage en désavantage numérique88.00%
Phantoms
55-22-5, 115pts
9
FINAL
0 Comets
25-48-9, 59pts
Team Stats
W2SéquenceL4
30-9-2Fiche domicile14-21-6
25-13-3Fiche domicile11-27-3
7-3-0Derniers 10 matchs4-5-1
4.16Buts par match 2.61
1.89Buts contre par match 3.71
19.48%Pourcentage en avantage numérique9.12%
88.00%Pourcentage en désavantage numérique78.38%
Meneurs d'équipe
Buts
Sam Poulin
48
Passes
Henry Thrun
61
Points
Fraser Minten
98
Plus/Moins
Maxence Guenette
70
Collin DeliaVictoires
Collin Delia
55
Pourcentage d’arrêts
Vadim Zherenko
0.969

Statistiques d’équipe
Buts pour
341
4.16 GFG
Tirs pour
2393
29.18 Avg
Pourcentage en avantage numérique
19.5%
75 GF
Début de zone offensive
43.5%
Buts contre
155
1.89 GAA
Tirs contre
1286
15.68 Avg
Pourcentage en désavantage numérique
88.0%%
54 GA
Début de la zone défensive
33.5%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,935
Billets de saison0


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 51
Espoirs38


Historique d'équipe

Saison actuelle55-22-5 (115PTS)
Historique55-22-5 (0.671%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)0 - 0
Coupe Stanley0


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Fraser Minten (R)X100.008846967973646467756066692546466950640213816,667$
2Juuso ParssinenX100.008357877579576563576664632559606750640251925,000$
3Sam Poulin (R)XX100.008282827282768064506064686145456750640251863,333$
4Colton Dach (R)XX100.009970806776627563466558692546466650630233825,000$
5Trey Fix-WolanskyX100.0067657269657780665063666163444466506302611,000,000$
6Arthur KaliyevXX100.0065439576785846612557725875626366506202421,000,000$
7Mason ShawXX100.0063665768668187607556605857444461506002711,500,000$
8Cole Reinhardt (R)X100.008786756977517758255657642545456250590263900,000$
9Tyler AngleX100.00696284636267705670505760544444595057N0251775,000$
10Nick SwaneyX100.007264916564626457505258615544446050570281775,000$
11Nolan StevensXX100.00747083637063675164524661444444555056N0291775,000$
12Henry ThrunX100.0069648574797277602552487825585861506702521,031,250$
13Maxence GuenetteX100.008078836678707554254251654844445950610241813,333$
14Ville HeinolaX100.0063419271676446612545477325494958506002521,000,000$
15Samuel KnazkoX100.007872916572677248254041623944445350580231902,500$
16Zackary HayesX100.008080806480626646253641633944445350580261800,000$
17Tyrel Bauer (R)X100.007281526381687542253039583744444850560243775,000$
Rayé
1Bryce KindoppX100.00767189657164684950444861464444555055N0261775,000$
2Cole CoskeyX100.007670896170474749504944614244445350530262800,000$
3Ryan Tverberg (R)XX100.007367886567484849614647604544445350530243851,667$
4Greg MeirelesX100.006965796465383454505944594244445250530271775,000$
MOYENNE D’ÉQUIPE100.00756782687263665645515363434747595059
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
1Collin Delia100.0054486078565753595857304444555056N0311800,000$
2Vadim Zherenko (R)100.00495063844950505550503044445150540253775,000$
Rayé
MOYENNE D’ÉQUIPE100.0052496281535452575454304444535055
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Derek MacKenzie72707366635983CAN421925,000$


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du joueur Nom de l’équipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Fraser MintenPhantoms (PHL)C8242569851360741742877824714.63%18165420.181016265828221392206166.36%153100001.18030001049
2Sam PoulinPhantoms (PHL)LW/RW8248449266119251531432767219617.39%17188122.941192048290325163605256.57%76900030.9824221973
3Juuso ParssinenPhantoms (PHL)C82285179635201131311885313314.89%13177021.592161825261347163263160.91%131500010.8914000553
4Colton DachPhantoms (PHL)C/LW822946754411810214922035914114.29%8143417.50101323422860001125064.77%8800011.0500002244
5Henry ThrunPhantoms (PHL)D821361745364011981112427911.61%70191023.3061723633031123333200%000000.7700000245
6Ville HeinolaPhantoms (PHL)D82135669601004364110397811.82%61168220.5221517512630443310210%000010.8200000525
7Mason ShawPhantoms (PHL)C/LW8222456748360601491894013611.64%7142317.36235587000101423065.47%108300010.9400000482
8Cole ReinhardtPhantoms (PHL)LW823037674314630182771825011016.48%7120814.731452411012453050.79%6300001.1100123244
9Trey Fix-WolanskyPhantoms (PHL)RW822934634926063702105915213.81%6150818.39913225230312392134154.02%8700000.8400000244
10Ryker EvansFlyersD67115061488601556883326213.25%66157023.4591019632440220274410%000000.7800000162
11Arthur KaliyevPhantoms (PHL)LW/RW8221396046004672035213810.34%1141817.306142042283000017245.76%5900010.8500000103
12Nick SwaneyPhantoms (PHL)RW822529544818032781623113115.43%7134616.4320221921381795160.99%18200000.8000000322
13Maxence GuenettePhantoms (PHL)D8220294970145152004585254523.53%55169420.675712312692573301210%000000.5800201435
14Samuel KnazkoPhantoms (PHL)D825172244740892342162811.90%53129015.740004180000137200%000000.3400000113
15Zackary HayesPhantoms (PHL)D821111243111515933218224.76%34125515.31022257000058000%000000.1900010010
16Tyler AnglePhantoms (PHL)C8224618401425405185.00%23043.7100023000030061.71%22200000.3900000000
Statistiques d’équipe totales ou en moyenne1297339609948794104585167413202393661171614.17%4252335418.01751392144923014152237802922531162.46%539900080.81311557515554
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
1Collin DeliaPhantoms (PHL)82552250.8791.88481261915112530210.66712820103
2Vadim ZherenkoPhantoms (PHL)60000.9690.441370013200000082000
Statistiques d’équipe totales ou en moyenne88552250.8821.8449496191521285021128282103


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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Arthur KaliyevPhantoms (PHL)LW/RW242001-06-26UZBNo210 Lbs6 ft2NoNoFree AgentNoNo22025-08-02FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien
Bryce KindoppPhantoms (PHL)RW261999-06-14ABNo191 Lbs6 ft1YesNoFree AgentNoYes12025-09-05FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Cole CoskeyPhantoms (PHL)RW261999-06-01USANo190 Lbs6 ft0NoNoFree AgentNoYes22024-08-01FalseFalsePro & Farm800,000$0$0$No800,000$--------800,000$--------No--------Lien
Cole ReinhardtPhantoms (PHL)LW262000-02-01CANYes207 Lbs6 ft1NoNoFree AgentNoYes32025-08-02FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------900,000$900,000$-------NoNo-------Lien
Collin DeliaPhantoms (PHL)G311994-06-20USANo200 Lbs6 ft2YesNoFree AgentNoYes12025-08-21FalseFalsePro & Farm800,000$0$0$No---------------------------Lien / Lien NHL
Colton DachPhantoms (PHL)C/LW232003-01-04CANYes196 Lbs6 ft4NoNoAssign ManuallyNoNo32025-08-03FalseFalsePro & Farm825,000$0$0$No825,000$825,000$-------825,000$825,000$-------NoNo-------Lien
Fraser MintenPhantoms (PHL)C212004-07-05CANYes195 Lbs6 ft2NoNoAssign ManuallyNoNo32025-06-14FalseFalsePro & Farm816,667$0$0$No816,667$816,667$-------816,667$816,667$-------NoNo-------Lien
Greg MeirelesPhantoms (PHL)C271999-01-01ONTNo181 Lbs5 ft10NoNoN/ANoYes1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Henry ThrunPhantoms (PHL)D252001-03-12USANo210 Lbs6 ft2NoNoAssign ManuallyNoYes22024-06-30FalseFalsePro & Farm1,031,250$0$0$No1,031,250$--------1,031,250$--------No--------Lien
Juuso ParssinenPhantoms (PHL)C252001-02-01FINNo212 Lbs6 ft3NoNoN/ANoYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien
Mason ShawPhantoms (PHL)C/LW271998-11-03CANNo186 Lbs5 ft10NoNoN/ANoYes1FalseFalsePro & Farm1,500,000$0$0$No---------------------------Lien / Lien NHL
Maxence GuenettePhantoms (PHL)D242001-04-28CANNo210 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm813,333$0$0$No---------------------------Lien
Nick SwaneyPhantoms (PHL)RW281997-09-09USANo179 Lbs5 ft11NoNoN/ANoYes1FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Nolan StevensPhantoms (PHL)C/LW291996-07-22ONTNo183 Lbs6 ft3YesNoFree AgentNoYes12025-09-05FalseFalsePro & Farm775,000$0$0$No---------------------------Lien / Lien NHL
Ryan TverbergPhantoms (PHL)C/RW242002-01-30ONTYes187 Lbs5 ft11NoNoAssign ManuallyNoNo32025-08-03FalseFalsePro & Farm851,667$0$0$No851,667$851,667$-------851,667$851,667$-------NoNo-------Lien
Sam PoulinPhantoms (PHL)LW/RW252001-02-25CANYes227 Lbs6 ft2NoNoAssign ManuallyNoYes12025-08-03FalseFalsePro & Farm863,333$0$0$No---------------------------Lien
Samuel KnazkoPhantoms (PHL)D232002-08-07SVKNo196 Lbs6 ft1NoNoTrade2025-08-02NoNo1FalseFalsePro & Farm902,500$0$0$No---------------------------Lien
Trey Fix-WolanskyPhantoms (PHL)RW261999-05-26CANNo193 Lbs5 ft7NoNoN/ANoYes1FalseFalsePro & Farm1,000,000$0$0$No---------------------------Lien / Lien NHL
Tyler AnglePhantoms (PHL)C252000-09-30ONTNo172 Lbs5 ft10YesNoFree AgentNoYes12025-09-05FalseFalsePro & Farm775,000$0$0$No---------------------------Lien
Tyrel BauerPhantoms (PHL)D242002-03-23CANYes216 Lbs6 ft4NoNoAssign ManuallyNoNo32025-08-03FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Vadim ZherenkoPhantoms (PHL)G252001-03-15RUSYes207 Lbs6 ft4NoNoAssign ManuallyNoYes32025-08-03FalseFalsePro & Farm775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Lien
Ville HeinolaPhantoms (PHL)D252001-03-02FINNo181 Lbs6 ft0NoNoFree Agent2024-07-11NoYes22024-08-01FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Lien / Lien NHL
Zackary HayesPhantoms (PHL)D261999-04-24ABNo218 Lbs6 ft3NoNoFree AgentNoYes12024-08-01FalseFalsePro & Farm800,000$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2325.43198 Lbs6 ft11.70880,598$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam PoulinJuuso ParssinenTrey Fix-Wolansky40122
2Colton DachFraser MintenArthur Kaliyev30122
3Cole ReinhardtMason ShawNick Swaney20122
4Sam PoulinTyler AngleJuuso Parssinen10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry Thrun40122
2Maxence GuenetteVille Heinola30122
3Zackary HayesSamuel Knazko20122
4Henry Thrun10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Sam PoulinJuuso ParssinenTrey Fix-Wolansky60122
2Colton DachFraser MintenArthur Kaliyev40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry Thrun60122
2Maxence GuenetteVille Heinola40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Sam PoulinJuuso Parssinen60122
2Fraser MintenTrey Fix-Wolansky40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry Thrun60122
2Maxence GuenetteVille Heinola40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Sam Poulin60122Henry Thrun60122
2Juuso Parssinen40122Maxence GuenetteVille Heinola40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Sam PoulinJuuso Parssinen60122
2Fraser MintenTrey Fix-Wolansky40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Henry Thrun60122
2Maxence GuenetteVille Heinola40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sam PoulinJuuso ParssinenTrey Fix-WolanskyHenry Thrun
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Sam PoulinJuuso ParssinenTrey Fix-WolanskyHenry Thrun
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Shaw, Cole Reinhardt, Nick SwaneyMason Shaw, Cole ReinhardtNick Swaney
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Zackary Hayes, Samuel Knazko, Maxence GuenetteZackary HayesSamuel Knazko, Maxence Guenette
Tirs de pénalité
Sam Poulin, Juuso Parssinen, Fraser Minten, Trey Fix-Wolansky, Colton Dach
Gardien
#1 : Collin Delia, #2 : Vadim Zherenko
Lignes d’attaque personnalisées en prolongation
Sam Poulin, Juuso Parssinen, Fraser Minten, Trey Fix-Wolansky, Colton Dach, Arthur Kaliyev, Mason Shaw, Cole Reinhardt, Nick Swaney, Tyler Angle
Lignes de défense personnalisées en prolongation
, Henry Thrun, Maxence Guenette, Ville Heinola, Zackary Hayes


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1 Americans21100000532110000004131010000012-120.5005611001291129565073976187826441124401100.00%120100.00%11505233664.43%1071179859.57%796124064.19%248618611515503952532
2Admirals22000000808110000003031100000050541.00081220021291129569073976187826221122361119.09%110100.00%11505233664.43%1071179859.57%796124064.19%248618611515503952532
3Barracuda22000000624110000004221100000020241.000610160112911295663739761878262816403010330.00%90100.00%01505233664.43%1071179859.57%796124064.19%248618611515503952532
4Bears4400000025817220000001257220000001331081.00025487300129112956150739761878264716448510330.00%21290.48%11505233664.43%1071179859.57%796124064.19%248618611515503952532
5Bruins52200010141222110000010823110001044060.600142640011291129561037397618782689325910528414.29%26196.15%11505233664.43%1071179859.57%796124064.19%248618611515503952532
6Canucks30200001610-42010000146-21010000024-210.167612180012911295665739761878265713505715320.00%18572.22%01505233664.43%1071179859.57%796124064.19%248618611515503952532
7Checkers431000001082220000006242110000046-260.750102030001291129567773976187826642459692015.00%23482.61%11505233664.43%1071179859.57%796124064.19%248618611515503952532
8Comets2200000013013110000004041100000090941.00013223502129112956897397618782622626469333.33%120100.00%11505233664.43%1071179859.57%796124064.19%248618611515503952532
9Condors22000000936110000004131100000052341.0009152400129112956617397618782625924478225.00%10370.00%01505233664.43%1071179859.57%796124064.19%248618611515503952532
10Crunch20002000972100010004311000100054141.000916250012911295654739761878266017293914321.43%12283.33%01505233664.43%1071179859.57%796124064.19%248618611515503952532
11Eagles2110000034-1110000001011010000024-220.500358011291129562473976187826235303311218.18%14285.71%01505233664.43%1071179859.57%796124064.19%248618611515503952532
12Firebirds330000002612522000000181171100000080861.000264874021291129561297397618782622722795360.00%110100.00%01505233664.43%1071179859.57%796124064.19%248618611515503952532
13Griffins22000000835110000005321100000030341.00081321011291129567073976187826174203510550.00%10190.00%01505233664.43%1071179859.57%796124064.19%248618611515503952532
14Gulls22000000210211100000011011110000001001041.000214162021291129561127397618782619822363266.67%60100.00%01505233664.43%1071179859.57%796124064.19%248618611515503952532
15Ice Hogs220000001831511000000121111100000062441.00018365400129112956817397618782623712393133.33%60100.00%01505233664.43%1071179859.57%796124064.19%248618611515503952532
16Islanders44000000313282200000017215220000001411381.00031568702129112956184739761878264915381023133.33%18194.44%21505233664.43%1071179859.57%796124064.19%248618611515503952532
17Marlies2020000046-21010000034-11010000012-100.000461000129112956437397618782633936441119.09%18383.33%11505233664.43%1071179859.57%796124064.19%248618611515503952532
18Monsters2110000045-1110000004131010000004-420.50047110012911295641739761878264518264911218.18%130100.00%11505233664.43%1071179859.57%796124064.19%248618611515503952532
19Moose21001000743100010004311100000031241.00071118001291129564373976187826297244115426.67%10190.00%01505233664.43%1071179859.57%796124064.19%248618611515503952532
20Penguins431000002451922000000160162110000085360.75024396302129112956130739761878266520418313538.46%180100.00%21505233664.43%1071179859.57%796124064.19%248618611515503952532
21Reign2010000124-21010000012-11000000112-110.250246001291129563273976187826321932361200.00%15286.67%01505233664.43%1071179859.57%796124064.19%248618611515503952532
22Roadrunners2200000013112110000009091100000041341.00013263901129112956827397618782618624487228.57%60100.00%01505233664.43%1071179859.57%796124064.19%248618611515503952532
23Rocket2020000026-41010000012-11010000014-300.00024600129112956397397618782650163038400.00%13284.62%01505233664.43%1071179859.57%796124064.19%248618611515503952532
24Senators22000000734110000004131100000032141.00071320001291129565473976187826178202017317.65%8187.50%11505233664.43%1071179859.57%796124064.19%248618611515503952532
25Silver Knights4310000014861100000043132100000105560.7501423370112911295683739761878268120618024520.83%26484.62%21505233664.43%1071179859.57%796124064.19%248618611515503952532
26Stars220000001046110000004221100000062441.000101727001291129567373976187826331222459222.22%11372.73%01505233664.43%1071179859.57%796124064.19%248618611515503952532
27Thunderbirds2200000013211110000008261100000050541.000132235011291129569173976187826281320533133.33%10190.00%01505233664.43%1071179859.57%796124064.19%248618611515503952532
28Wild201000104401010000012-11000001032120.5004590012911295650739761878263415214315213.33%70100.00%01505233664.43%1071179859.57%796124064.19%248618611515503952532
29Wolf Pack41100200911-2210001006422010010037-440.500917260012911295687739761878267723567321314.29%21385.71%01505233664.43%1071179859.57%796124064.19%248618611515503952532
30Wolves505000001019-930300000511-62020000058-300.00010182810129112956109739761878269829789835514.29%381073.68%01505233664.43%1071179859.57%796124064.19%248618611515503952532
31Wranglers21000100660110000003211000010034-130.750611170012911295634739761878263510394817317.65%17382.35%01505233664.43%1071179859.57%796124064.19%248618611515503952532
Total825022033223411551864128902101192741184122130122114981681150.7013416099501191291129562393739761878261286426105116773857519.48%4505488.00%151505233664.43%1071179859.57%796124064.19%248618611515503952532
_Since Last GM Reset825022033223411551864128902101192741184122130122114981681150.7013416099501191291129562393739761878261286426105116773857519.48%4505488.00%151505233664.43%1071179859.57%796124064.19%248618611515503952532
_Vs Conference47241702211176106702414701101101524923101001110755421570.606176317493181291129561295739761878267902506129432214219.00%2693586.99%111505233664.43%1071179859.57%796124064.19%248618611515503952532
_Vs Division2517100021011651651310400100642341127600110522824380.76011620732316129112956790739761878264031273095361022221.57%1411688.65%71505233664.43%1071179859.57%796124064.19%248618611515503952532

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82115W23416099502393128642610511677119
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8250223322341155
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41289210119274
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
412213122114981
Derniers 10 matchs
WLOTWOTL SOWSOL
532000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3857519.48%4505488.00%15
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
73976187826129112956
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
1505233664.43%1071179859.57%796124064.19%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
248618611515503952532


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
210Phantoms1Bruins3LSommaire du match
321Phantoms3Silver Knights4LSommaire du match
532Wolves4Phantoms1LSommaire du match
860Firebirds1Phantoms10WSommaire du match
1072Canucks4Phantoms3LXXSommaire du match
1288Phantoms2Bruins1WXXSommaire du match
14100Phantoms8Bears2WSommaire du match
16113Phantoms1Wolf Pack4LSommaire du match
18123Bruins5Phantoms3LSommaire du match
20144Phantoms2Wolves4LSommaire du match
22155Phantoms1Checkers4LSommaire du match
23161Penguins0Phantoms8WSommaire du match
25178Phantoms2Silver Knights1WSommaire du match
27192Bears3Phantoms4WSommaire du match
29208Phantoms7Islanders0WSommaire du match
31224Checkers1Phantoms2WSommaire du match
35251Wolves2Phantoms1LSommaire du match
38271Phantoms3Senators2WSommaire du match
39281Marlies4Phantoms3LSommaire du match
42300Phantoms6Ice Hogs2WSommaire du match
44316Islanders0Phantoms8WSommaire du match
46329Phantoms3Griffins0WSommaire du match
48344Phantoms5Condors2WSommaire du match
49351Wranglers2Phantoms3WSommaire du match
53376Penguins0Phantoms8WSommaire du match
55391Phantoms5Bears1WSommaire du match
56406Phantoms2Barracuda0WSommaire du match
58416Wolves5Phantoms3LSommaire du match
60439Thunderbirds2Phantoms8WSommaire du match
63459Phantoms1Rocket4LSommaire du match
65469Phantoms2Canucks4LSommaire du match
66478Griffins3Phantoms5WSommaire du match
69498Phantoms2Eagles4LSommaire du match
70512Firebirds0Phantoms8WSommaire du match
74534Ice Hogs1Phantoms12WSommaire du match
77553Phantoms8Firebirds0WSommaire du match
79571Condors1Phantoms4WSommaire du match
81589Phantoms3Moose1WSommaire du match
83599Eagles0Phantoms1WSommaire du match
85615Phantoms10Gulls0WSommaire du match
87633Gulls0Phantoms11WSommaire du match
90652Phantoms4Roadrunners1WSommaire du match
91665Stars2Phantoms4WSommaire du match
94684Phantoms1Marlies2LSommaire du match
96696Comets0Phantoms4WSommaire du match
98718Phantoms1Reign2LXXSommaire du match
100727Checkers1Phantoms4WSommaire du match
102745Phantoms3Wolves4LSommaire du match
103757Phantoms0Monsters4LSommaire du match
105768Monsters1Phantoms4WSommaire du match
109793Bruins3Phantoms7WSommaire du match
110806Phantoms3Wranglers4LXSommaire du match
113824Rocket2Phantoms1LSommaire du match
116847Reign2Phantoms1LSommaire du match
119863Phantoms5Thunderbirds0WSommaire du match
121879Phantoms1Bruins0WSommaire du match
122888Wild2Phantoms1LSommaire du match
125908Phantoms3Wild2WXXSommaire du match
127920Islanders2Phantoms9WSommaire du match
130939Phantoms7Islanders1WSommaire du match
132952Admirals0Phantoms3WSommaire du match
134975Wolf Pack2Phantoms1LXSommaire du match
135983Phantoms5Admirals0WSommaire du match
137993Phantoms5Silver Knights0WSommaire du match
1401010Phantoms3Checkers2WSommaire du match
1411019Bears2Phantoms8WSommaire du match
1441042Phantoms2Wolf Pack3LXSommaire du match
1451051Crunch3Phantoms4WXSommaire du match
1491076Wolf Pack2Phantoms5WSommaire du match
1521104Roadrunners0Phantoms9WSommaire du match
1551122Phantoms6Stars2WSommaire du match
1571136 Americans1Phantoms4WSommaire du match
1611167Canucks2Phantoms1LSommaire du match
1641192Senators1Phantoms4WSommaire du match
1661200Phantoms1 Americans2LSommaire du match
1691224Barracuda2Phantoms4WSommaire du match
1701235Phantoms5Penguins1WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1731253Moose3Phantoms4WXSommaire du match
1741263Phantoms3Penguins4LSommaire du match
1751271Phantoms5Crunch4WXSommaire du match
1801295Silver Knights3Phantoms4WSommaire du match
1811307Phantoms9Comets0WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets200
Assistance81,98938,360
Assistance PCT99.99%93.56%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2935 - 97.84% 39,995$1,639,780$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
3,022,728$ 2,025,375$ 2,025,375$ 925,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,007$ 2,097,720$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 16,035$ 0$




Phantoms Leaders statistiques des joueurs (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
1Fraser Minten8242569851367417428714.63%18165420.181016265821396166.36%01.1803
2Sam Poulin824844926611915314327617.39%17188122.941192048325165256.57%30.9824
3Juuso Parssinen82285179635211313118814.89%13177021.592161825347163160.91%10.8914
4Colton Dach82294675441182149220314.29%8143417.501013234200015064.77%11.0500
5Henry Thrun8213617453641198111211.61%70191023.3061723631123200%00.7700

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
1Collin Delia82552250.8791.88481261915112530210.66712
2Vadim Zherenko60000.9690.441370013200000

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
Saison régulière
2025825022033223411551864128902101192741184122130122114981681153416099501191291129562393739761878261286426105116773857519.48%4505488.00%151505233664.43%1071179859.57%796124064.19%248618611515503952532
Total Saison régulière825022033223411551864128902101192741184122130122114981681153416099501191291129562393739761878261286426105116773857519.48%4505488.00%151505233664.43%1071179859.57%796124064.19%248618611515503952532
Séries éliminatoires
Total Séries éliminatoires0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Phantoms Leaders statistiques des joueurs (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