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Phantoms
GP: 16 | W: 13 | L: 2 | OTL: 1 | P: 27
GF: 97 | GA: 33 | PP%: 27.94% | PK%: 91.89%
DG: Mark S | Morale : 50 | Moyenne d’équipe : 62

Centre de jeu
Bears
14-2-0, 28pts
5
FINAL
2 Phantoms
13-2-1, 27pts
Team Stats
W6SéquenceW1
7-1-0Fiche domicile6-1-1
7-1-0Fiche domicile7-1-0
9-1-0Derniers 10 matchs8-2-0
7.38Buts par match 6.06
2.75Buts contre par match 2.06
31.03%Pourcentage en avantage numérique27.94%
78.31%Pourcentage en désavantage numérique91.89%
Phantoms
13-2-1, 27pts
7
FINAL
1 Wolves
4-12-0, 8pts
Team Stats
W1SéquenceL11
6-1-1Fiche domicile2-6-0
7-1-0Fiche domicile2-6-0
8-2-0Derniers 10 matchs0-10-0
6.06Buts par match 3.44
2.06Buts contre par match 6.38
27.94%Pourcentage en avantage numérique15.00%
91.89%Pourcentage en désavantage numérique85.42%
Meneurs d'équipe
Arthur KaliyevButs
Arthur Kaliyev
23
Sam DickinsonPasses
Sam Dickinson
19
Arthur KaliyevPoints
Arthur Kaliyev
37
Maxence GuenettePlus/Moins
Maxence Guenette
25
Thomas MilicVictoires
Thomas Milic
12
Thomas MilicPourcentage d’arrêts
Thomas Milic
0.868

Statistiques d’équipe
Buts pour
97
6.06 GFG
Tirs pour
525
32.81 Avg
Pourcentage en avantage numérique
27.9%
19 GF
Début de zone offensive
43.5%
Buts contre
33
2.06 GAA
Tirs contre
249
15.56 Avg
Pourcentage en désavantage numérique
91.9%%
6 GA
Début de la zone défensive
29.9%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Informations de la formation

Équipe Pro25
Équipe Mineure19
Limite contact 44 / 51
Espoirs38


Historique d'équipe

Saison actuelle13-2-1 (27PTS)
Historique0--0
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)3 - 4 (0.429%)
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
1Arthur KaliyevXX100.0080788672788387695060717367636471506802511,000,000$
2Marco KasperXXX100.008856878274669869726160752560606850680222886,666$
3Shane WrightX100.0069429579706691736965706625616171506702213,949,167$
4Nick BjugstadXX100.0083568473825778627055597372818365506603413,000,000$
5Colton Dach (R)XXX100.009991767983597867396158702555556650650232850,000$
6Cole Reinhardt (R)X100.008757888576577662566068682554546950650262900,000$
7Mason ShawXX100.006966756466828862786058645555556350620273950,000$
8Samuel Honzek (R)X100.008445967472624563536060772546466750620213909,166$
9Ozzy Wiesblatt (R)XX100.00907774736656606233605673754848635062N02433,500,000$
10Juuso ParssinenXXX100.0079458570775256595255596925606162506102521,250,000$
11Samuel Poulin (R)X100.007879776779524966506266676345456650610251863,333$
12Ryan Tverberg (R)X100.007267836267768060505659625644446250600242851,667$
13Sam Dickinson (R)X100.007544907876708965255347802553536350680203953,750$
14Hunter Brzustewicz (R)X100.006942957170698569255148712547476150640213950,000$
15Henry ThrunX100.0079788065786974542548426840585857506302511,031,250$
16Matthew KesselX100.007144897479605259254249742556565950630263950,000$
17Jordan HarrisX100.0069429371675755612550487325606059506202611,000,000$
18Maxence GuenetteX100.008178876378616353255240653844445550600253950,000$
Rayé
1Ivan IvanXX100.00747082627083905670515663534848615060N02432,500,000$
2Trey Fix-WolanskyX100.006265545965828763505666586346466450600273950,000$
3Ville HeinolaX100.0072678460676366532550416239505054505802511,000,000$
4Zack HayesX100.008483856083535643253040643844445150560271850,000$
5Tyrel BauerX100.006981425381636843253239563744444750540242850,000$
MOYENNE D’ÉQUIPE100.00786382697465736144535568415353625062
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
1Thomas Milic (R)100.00475468635556555553483044445350540233916,667$
2Vadim Zherenko100.00465265845552505248443044445050530252850,000$
Rayé
MOYENNE D’ÉQUIPE100.0047536774555453545146304444525054
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Derek MacKenzie62646563666182CAN4431,000,000$


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
1Arthur KaliyevPhantoms (PHL)LW/RW162314372480192878184929.49%133721.12931220590001204077.11%16600012.1900000432
2Cole ReinhardtPhantoms (PHL)LW1612152724195231044163327.27%323914.96112226000000064.29%1400022.2600010211
3Sam DickinsonPhantoms (PHL)D1641923166024142262218.18%1236923.1046101149000056000%000001.2400000120
4Marco KasperPhantoms (PHL)C/LW/RW167132015120162855143812.73%133821.1723510390112331065.93%9100001.1800000012
5Shane WrightPhantoms (PHL)C1611819122011849233122.45%228818.04000030002472070.04%25700011.3200000021
6Samuel PoulinPhantoms (PHL)RW167111824201494163417.07%321713.5600005000001055.56%900001.6600000112
7Colton DachPhantoms (PHL)C/LW/RW165111612355512137121913.51%232120.0914511390001470071.56%10900011.0000100102
8Samuel HonzekPhantoms (PHL)LW16610161200131948173712.50%128117.57000130001300062.00%5000001.1400000103
9Hunter BrzustewiczPhantoms (PHL)D16015151480234135140%632320.19033539011153000%000000.9300000000
10Ozzy WiesblattPhantoms (PHL)C/RW16871512120221746113717.39%123914.9400000000001083.33%600001.2500000210
11Mason ShawPhantoms (PHL)C/RW165914116014163252515.63%330218.91112751000032074.63%20500000.9300000001
12Jordan HarrisPhantoms (PHL)D161101112120196721014.29%1026116.3700028000025000%000000.8400000000
13Juuso ParssinenPhantoms (PHL)C/LW/RW16381131001291371223.08%219312.101671511012661157.04%13500001.1400000000
14Matthew KesselPhantoms (PHL)D1628102140228125516.67%926316.4400000000110100%000000.7600000000
15Maxence GuenettePhantoms (PHL)D1627925175196182111.11%732920.59011838000050000%000000.5500001010
16Henry ThrunPhantoms (PHL)D161451516037797011.11%836122.61022250000050000%000000.2800000000
17Ryan TverbergPhantoms (PHL)RW16000-100000000%060.380000000000000%00000000000000
18Nick BjugstadPhantoms (PHL)C/RW16000000001000%030.220000000000000%00000000000000
Statistiques d’équipe totales ou en moyenne288971692662511691532922052515636718.48%71467716.24193049804681231149813169.67%104200051.1400111121214
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
1Thomas MilicPhantoms (PHL)1612210.8682.03915023123401000160000
2Vadim ZherenkoPhantoms (PHL)21000.8672.35510021500000016000
Statistiques d’équipe totales ou en moyenne1813210.8672.05967023324901001616000


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/RW252001-06-26UZBNo212 Lbs6 ft2NoNoFree AgentNoNo12025-08-02FalseFalsePro & Farm1,000,000$1,000,000$0$0$No---------------------------Lien / Lien NHL
Cole ReinhardtPhantoms (PHL)LW262000-02-01CANYes207 Lbs6 ft1NoNoFree AgentNoNo22025-08-02FalseFalsePro & Farm900,000$900,000$0$0$No900,000$--------900,000$--------No--------Lien / Lien NHL
Colton DachPhantoms (PHL)C/LW/RW232003-01-04CANYes218 Lbs6 ft4NoNoAssign ManuallyNoNo22026-10-05FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Henry ThrunPhantoms (PHL)D252001-03-12USANo211 Lbs6 ft2NoNoAssign ManuallyNoNo12024-06-30FalseFalsePro & Farm1,031,250$1,031,250$0$0$No---------------------------Lien / Lien NHL
Hunter BrzustewiczPhantoms (PHL)D212004-11-29USAYes190 Lbs6 ft0NoNoAssign ManuallyNoNo32026-06-15FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien / Lien NHL
Ivan IvanPhantoms (PHL)C/LW242002-08-20CZENo190 Lbs6 ft0YesNoFree AgentNoNo32026-08-08FalseFalsePro & Farm2,500,000$2,500,000$0$0$No2,500,000$2,500,000$-------2,500,000$2,500,000$-------YesYes-------Lien / Lien NHL
Jordan HarrisPhantoms (PHL)D262000-07-07USANo187 Lbs5 ft11NoNoTrade2025-09-22NoNo12025-08-15FalseFalsePro & Farm1,000,000$1,000,000$0$0$No---------------------------Lien / Lien NHL
Juuso ParssinenPhantoms (PHL)C/LW/RW252001-02-01FINNo207 Lbs6 ft3NoNoFree AgentNoNo22026-07-15FalseFalsePro & Farm1,250,000$1,250,000$0$0$No1,250,000$--------1,250,000$--------No--------Lien / Lien NHL
Marco KasperPhantoms (PHL)C/LW/RW222004-04-08AUTNo202 Lbs6 ft1NoNoAssign ManuallyNoNo22025-08-03FalseFalsePro & Farm886,666$886,666$0$0$No886,666$--------886,666$--------No--------Lien / Lien NHL
Mason ShawPhantoms (PHL)C/RW271998-11-03CANNo186 Lbs5 ft10NoNoFree AgentNoNo32026-07-15FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien / Lien NHL
Matthew KesselPhantoms (PHL)D262000-06-23USANo212 Lbs6 ft3NoNoFree AgentNoNo32026-07-15FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien / Lien NHL
Maxence GuenettePhantoms (PHL)D252001-04-28CANNo210 Lbs6 ft2NoNoFree AgentNoNo32026-07-15FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien / Lien NHL
Nick BjugstadPhantoms (PHL)C/RW341992-07-17USANo210 Lbs6 ft6NoNoFree Agent2025-08-07NoNo12025-08-15FalseFalsePro & Farm3,000,000$3,000,000$0$0$No---------------------------Lien / Lien NHL
Ozzy WiesblattPhantoms (PHL)C/RW242002-03-09CANYes183 Lbs5 ft10YesNoFree AgentNoNo32026-08-08FalseFalsePro & Farm3,500,000$3,500,000$0$0$No3,500,000$3,500,000$-------3,500,000$3,500,000$-------YesYes-------Lien / Lien NHL
Ryan TverbergPhantoms (PHL)RW242002-01-30CANYes187 Lbs5 ft11NoNoAssign ManuallyNoNo22025-08-03FalseFalsePro & Farm851,667$851,667$0$0$No851,667$--------851,667$--------No--------Lien / Lien NHL
Sam DickinsonPhantoms (PHL)D202006-06-07CANYes200 Lbs6 ft3NoNoAssign ManuallyNoNo32026-06-15FalseFalsePro & Farm953,750$953,750$0$0$No953,750$953,750$-------953,750$953,750$-------NoNo-------Lien / Lien NHL
Samuel HonzekPhantoms (PHL)LW212004-11-12SVKYes186 Lbs6 ft4NoNoAssign ManuallyNoNo32026-06-15FalseFalsePro & Farm909,166$909,166$0$0$No909,166$909,166$-------909,166$909,166$-------NoNo-------Lien / Lien NHL
Samuel PoulinPhantoms (PHL)RW252001-02-25CANYes217 Lbs6 ft2NoNoAssign ManuallyNoNo12026-10-02FalseFalsePro & Farm863,333$863,333$0$0$No---------------------------Lien / Lien NHL
Shane WrightPhantoms (PHL)C222004-01-05CANNo192 Lbs6 ft0NoNoTrade2024-07-12NoNo12024-06-30FalseFalsePro & Farm3,949,167$3,949,167$0$0$No---------------------------Lien / Lien NHL
Thomas MilicPhantoms (PHL)G232003-04-14CANYes175 Lbs6 ft0NoNoAssign ManuallyNoNo32026-06-15FalseFalsePro & Farm916,667$916,667$0$0$No916,667$916,667$-------916,667$916,667$-------NoNo-------Lien / Lien NHL
Trey Fix-WolanskyPhantoms (PHL)RW271999-05-26CANNo193 Lbs5 ft7NoNoFree AgentNoNo32026-07-15FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------Lien / Lien NHL
Tyrel BauerPhantoms (PHL)D242002-03-23CANNo216 Lbs6 ft4NoNoAssign ManuallyNoNo22026-10-05FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Vadim ZherenkoPhantoms (PHL)G252001-03-15RUSNo207 Lbs6 ft4NoNoAssign ManuallyNoNo22026-10-05FalseFalsePro & Farm850,000$850,000$0$0$No850,000$--------850,000$--------No--------Lien / Lien NHL
Ville HeinolaPhantoms (PHL)D252001-03-02FINNo181 Lbs6 ft0NoNoFree Agent2024-07-11NoNo12024-08-01FalseFalsePro & Farm1,000,000$1,000,000$0$0$No---------------------------Lien / Lien NHL
Zack HayesPhantoms (PHL)D271999-04-24CANNo226 Lbs6 ft3NoNoAssign ManuallyNoNo12026-10-02FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2524.64200 Lbs6 ft12.081,306,467$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Marco KasperShane WrightColton Dach50122
2Samuel HonzekMason ShawOzzy Wiesblatt20122
3Cole ReinhardtArthur KaliyevSamuel Poulin20122
4Arthur KaliyevJuuso ParssinenMarco Kasper10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam DickinsonHenry Thrun40122
2Maxence GuenetteMatthew Kessel30122
3Hunter BrzustewiczJordan Harris20122
4Sam DickinsonHenry Thrun10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Arthur KaliyevJuuso ParssinenMason Shaw60122
2Colton DachMarco KasperArthur Kaliyev40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam DickinsonHenry Thrun60122
2Maxence GuenetteHunter Brzustewicz40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Colton DachJuuso Parssinen60122
2Marco KasperShane Wright40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Sam DickinsonHenry Thrun60122
2Maxence GuenetteHunter Brzustewicz40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Colton Dach60122Sam DickinsonHenry Thrun60122
2Juuso Parssinen40122Maxence GuenetteHunter Brzustewicz40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Colton DachJuuso Parssinen60122
2Marco KasperCole Reinhardt40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Hunter BrzustewiczHenry Thrun60122
2Maxence GuenetteSam Dickinson40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Colton DachShane WrightMarco KasperSam DickinsonHenry Thrun
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Colton DachShane WrightMarco KasperSam DickinsonHenry Thrun
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mason Shaw, Cole Reinhardt, Samuel HonzekMason Shaw, Cole ReinhardtSamuel Honzek
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Hunter Brzustewicz, Sam Dickinson, Maxence GuenetteHenry ThrunSam Dickinson, Maxence Guenette
Tirs de pénalité
Ozzy Wiesblatt, Arthur Kaliyev, Samuel Poulin, Marco Kasper, Mason Shaw
Gardien
#1 : Thomas Milic, #2 : Vadim Zherenko
Lignes d’attaque personnalisées en prolongation
Marco Kasper, Juuso Parssinen, Shane Wright, Samuel Honzek, Colton Dach, Arthur Kaliyev, Mason Shaw, Cole Reinhardt, Samuel Poulin, Ozzy Wiesblatt
Lignes de défense personnalisées en prolongation
Sam Dickinson, Henry Thrun, Maxence Guenette, Hunter Brzustewicz, Matthew Kessel


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
1Barracuda1000010045-11000010045-10000000000010.500471100383225227178168175414812258450.00%5180.00%031345069.56%22530972.82%18827668.12%55743422982179109
2Bears211000008711010000025-31100000062420.500815230038322524817816817543613314919315.79%7185.71%031345069.56%22530972.82%18827668.12%55743422982179109
3Bruins210010001459110000008081000100065141.00014223601383225256178168175435620437571.43%10190.00%031345069.56%22530972.82%18827668.12%55743422982179109
4Checkers20101000660100010005411010000012-120.5006111700383225242178168175440133045900.00%14285.71%031345069.56%22530972.82%18827668.12%55743422982179109
5Islanders2200000013112110000007071100000061541.000132336013832252901781681754278846100.00%40100.00%031345069.56%22530972.82%18827668.12%55743422982179109
6Marlies11000000321000000000001100000032121.00036900383225224178168175414312126116.67%60100.00%031345069.56%22530972.82%18827668.12%55743422982179109
7Penguins2200000016214110000008171100000081741.00016294500383225280178168175424916305240.00%80100.00%031345069.56%22530972.82%18827668.12%55743422982179109
8Wolf Pack22000000173141100000071611000000102841.00017304700383225279178168175432614446233.33%70100.00%131345069.56%22530972.82%18827668.12%55743422982179109
9Wolves2200000016214110000009181100000071641.00016264200383225279178168175427526357228.57%13192.31%031345069.56%22530972.82%18827668.12%55743422982179109
Total16112021009733648510110050173386101000471631270.84497169266023832252525178168175424971169329681927.94%74691.89%131345069.56%22530972.82%18827668.12%55743422982179109
_Since Last GM Reset16112021009733648510110050173386101000471631270.84497169266023832252525178168175424971169329681927.94%74691.89%131345069.56%22530972.82%18827668.12%55743422982179109
_Vs Conference15112020009328657510100046123486101000471631260.86793162255023832252498178168175423563157304601525.00%69592.75%131345069.56%22530972.82%18827668.12%55743422982179109
_Vs Division101020200070155555101000338255510100037730241.200701231930138322523761781681754146419520438923.68%39294.87%131345069.56%22530972.82%18827668.12%55743422982179109

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1627W1971692665252497116932902
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1611221009733
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
85111005017
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
86110004716
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
681927.94%74691.89%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
17816817543832252
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
31345069.56%22530972.82%18827668.12%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
55743422982179109


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
17Barracuda5Phantoms4LXSommaire du match
230Phantoms6Bears2WSommaire du match
437Phantoms6Islanders1WSommaire du match
551Phantoms6Bruins5WXSommaire du match
664Wolf Pack1Phantoms7WSommaire du match
779Phantoms8Penguins1WSommaire du match
893Penguins1Phantoms8WSommaire du match
10114Wolves1Phantoms9WSommaire du match
12143Phantoms1Checkers2LSommaire du match
13148Checkers4Phantoms5WXSommaire du match
15170Bruins0Phantoms8WSommaire du match
16183Phantoms3Marlies2WSommaire du match
18202Islanders0Phantoms7WSommaire du match
19212Phantoms10Wolf Pack2WSommaire du match
21234Bears5Phantoms2LSommaire du match
22251Phantoms7Wolves1WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets200
Assistance00
Assistance PCT0.00%0.00%

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

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 3,266,168$ 3,266,168$ 1,000,000$0$
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
0$ 0 0$ 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

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
Saison régulière
Total Saison régulière00000000000000%0%0%0%0%000000
Séries éliminatoires
2025734000002020032100000981413000001112-162036560094612177568731139429011835514.29%41782.93%120925581.96%11517366.47%8711675.00%203151137438145
Total Séries éliminatoires734000002020032100000981413000001112-162036560094612177568731139429011835514.29%41782.93%120925581.96%11517366.47%8711675.00%203151137438145

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
1Juuso Parssinen7268221481711.76%115622.43022300020073.03%01.0200
2Fraser Minten7358-300171915.79%414220.33123410141080.26%01.1200
3Sam Poulin73473816192810.71%316523.68112400020065.91%10.8400
4Trey Fix-Wolansky72351692296.90%213519.331125011010100.00%00.7400
5Arthur Kaliyev7224-4008238.70%112017.281127000000100.00%00.6600

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
1Collin Delia73400.8562.85421002013900000