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Phantoms
GP: 11 | W: 6 | L: 5
GF: 44 | GA: 38 | PP%: 28.57% | PK%: 74.47%
DG: Bela Michalski | Morale : 86 | Moyenne d’équipe : N/A

Centre de jeu
Phantoms
6-5-0, 12pts
6
FINAL
4 Penguins
9-3-0, 18pts
Team Stats
L1SéquenceW2
3-2-0Fiche domicile4-2-0
3-3-0Fiche domicile5-1-0
5-4-1Derniers 10 matchs8-2-0
4.00Buts par match 4.08
3.45Buts contre par match 3.08
28.57%Pourcentage en avantage numérique32.26%
74.47%Pourcentage en désavantage numérique82.54%
Penguins
9-3-0, 18pts
4
FINAL
2 Phantoms
6-5-0, 12pts
Team Stats
W2SéquenceL1
4-2-0Fiche domicile3-2-0
5-1-0Fiche domicile3-3-0
8-2-0Derniers 10 matchs5-4-1
4.08Buts par match 4.00
3.08Buts contre par match 3.45
32.26%Pourcentage en avantage numérique28.57%
82.54%Pourcentage en désavantage numérique74.47%
Meneurs d'équipe
Buts
Joey Anderson
7
Passes
Logan Mailloux
10
Points
Joey Anderson
14
Plus/Moins
Matthew Sop
7
Victoires
Georgi Romanov
4
Pourcentage d’arrêts
Georgi Romanov
0.913

Statistiques d’équipe
Buts pour
44
4.00 GFG
Tirs pour
380
34.55 Avg
Pourcentage en avantage numérique
28.6%
14 GF
Début de zone offensive
38.2%
Buts contre
38
3.45 GAA
Tirs contre
405
36.82 Avg
Pourcentage en désavantage numérique
74.5%%
12 GA
Début de la zone défensive
36.4%
Informations de l'équipe

Directeur généralBela Michalski
EntraîneurJim Hiller
DivisionNorth Division
ConférenceEastern Conference
CapitaineElliot Desnoyers
Assistant #1Alexandre Doucet
Assistant #2Grant Hutton


Informations de l’aréna

Capacité8,000
Assistance6,490
Billets de saison800


Informations de la formation

Équipe Pro29
Équipe Mineure22
Limite contact 51 / 65
Espoirs13


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
1Riley ThompsonX100.0060606060607070606060606060425608000223650,000$
2Dalton BancroftXX100.0060606060607070606060606060465808200233650,000$
3Santeri HuovilaX100.0060606060607070606060606060445707600203650,000$
4Patrick BrownXX100.0073509170827792696470687365717306900321650,000$
5Kurtis MacDermidXX100.0074648561887577656165656965576108300301650,000$
6Alexandre Doucet (A)XXX100.0060606060607070606060606060495608300221771,750$
7Elliot Desnoyers (C)XX100.0060606060607070606060606060505808300221735,000$
8Danil GushchinXX100.0060508973627991696168696765465808500221866,250$
9Joey AndersonXX100.00665095627879856764656578655564086002611,700,000$
10Matt MartinXX100.0080589263817579676265657265756708300351650,000$
11Matthew SopXX100.0060606060607070606060606060415607900211650,000$
12Hudson SchandorXX100.0060606060607070606060606060405508300241650,000$
13Ben RobertsonX100.0060606060607070606060606060445708500203650,000$
14Grant Hutton (A)X100.0062508561808083652566647365576608400293650,000$
15Logan MaillouxX100.00625084708183926525666471664156085002121,312,500$
16Billy SweezeyX100.0060606060607070606060606060626408400283650,000$
17Jimi SuomiX100.0060606060607070606060606060405508500211675,000$
18Luca Munzenberger (R)X100.0060606060607070606060606060485508200222750,000$
Rayé
1Erik BargholtzX100.0060606060607070606060606060465808000233650,000$
2Israel MianscumXXX100.0060606060607070606060606060405505800211650,000$
3Jeremy WilmerXX100.0060606060607070606060606060405505200212650,000$
4Tristan SarslandX100.0060606060607070606060606060465808600203650,000$
5Lucas OlvestadX100.0060606060607070606060606060405502000221650,000$
6Tom Willander (R)X100.00606060606070706060606060604455022001931,500,000$
7Sam Dickinson (R)X100.00606060606070706060606060604655024001831,500,000$
8Viktor Hurtig (R)X100.0060606060607070606060606060465502600222650,000$
MOYENNE D’ÉQUIPE100.006258686265727462586262636148580710
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
1Lawton Zacher100.006070706060606060606060445905600213650,000$
2Josef Korenar100.006070706060606060606060576605900261682,500$
Rayé
1Georgi Romanov100.006070706060606060606060415507000251682,500$
MOYENNE D’ÉQUIPE100.00607070606060606060606047600620
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jim Hiller7989809169731CAN561600,000$


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
1Joey AndersonPhantoms (PHI)LW/RW117714400161949103014.29%320818.922468360004341129.41%1774001.3500000101
2Patrick BrownPhantoms (PHI)C/RW115712017571633153015.15%217415.9033610340000100047.06%3463001.3700001200
3Danil GushchinPhantoms (PHI)LW/RW11471100091036191911.11%416615.10325336000001050.00%1694001.3200000100
4Kurtis MacDermidPhantoms (PHI)LW/RW112810720203111721611.76%11049.5301102000001070.00%1046001.9100112010
5Elliot DesnoyersPhantoms (PHI)LW/RW115510-6171524122571720.00%617716.10134335000021050.00%2631001.1300021101
6Logan MaillouxPhantoms (PHI)D1101010695312242110%1422920.85044135011137000%056000.8700001000
7Riley ThompsonPhantoms (PHI)C10189-22152315141167.14%418718.741563310000310040.69%20443000.9600001011
8Dalton BancroftPhantoms (PHI)LW/RW1160662315149174635.29%212010.9700007000040125.00%420000.9900102110
9Alexandre DoucetPhantoms (PHI)C/LW/RW11246-5271513161931910.53%617515.92112234000050048.47%16316000.6900120000
10Matt MartinPhantoms (PHI)LW/RW11246010101493611235.56%817616.03000011011290066.67%994000.6800101010
11Matthew SopPhantoms (PHI)C/LW1133674017132731311.11%514112.89011040001300046.59%8823000.8500000002
12Santeri HuovilaPhantoms (PHI)LW11314-412101515206615.00%214513.2010112000000040.00%2515000.5500101000
13Billy SweezeyPhantoms (PHI)D11134024108614547.14%1223020.96101134000031100%064000.3500011000
14Jimi SuomiPhantoms (PHI)D110440201081310720%917816.240000000001000%035000.4500002010
15Luca MunzenbergerPhantoms (PHI)D11134-2181081997411.11%1822320.34123338000011000%024000.3600110010
16Hudson SchandorPhantoms (PHI)C/LW10213324201115104520.00%313113.1400000000001052.27%13203000.4600202000
17Ben RobertsonPhantoms (PHI)D11022634202297630%818817.1700005000129000%025000.2100112000
18Tristan SarslandPhantoms (PHI)D1011220200030%02121.570000000000000%000000.9300000000
19Grant HuttonPhantoms (PHI)D11011-41010618131050%2325323.09000136000136000%066000.0800011000
Statistiques d’équipe totales ou en moyenne19744791231829218022323738013222211.58%130323516.421426403637711292966246.43%7287272000.76009918665
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
1Georgi RomanovPhantoms (PHI)64010.9133.27294001618399000054000
2Josef KorenarPhantoms (PHI)82400.8983.633472021206120100056010
3Lawton ZacherPhantoms (PHI)10000.9383.00200011613000011000
Statistiques d’équipe totales ou en moyenne156410.9063.4466220384052321001111010


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
Alexandre DoucetPhantoms (PHI)C/LW/RW222002-01-12CANNo187 Lbs6 ft0NoNoTrade2025-07-02NoNo12025-09-08FalseFalsePro & Farm771,750$220,500$77,175$22,050$No---------------------------
Ben RobertsonPhantoms (PHI)D202004-09-18USANo192 Lbs5 ft9NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$185,714$65,000$18,571$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Billy SweezeyPhantoms (PHI)D281996-02-06USANo206 Lbs6 ft1NoNoAssign ManuallyNoNo32025-11-08FalseFalsePro & Farm650,000$185,714$65,000$18,571$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Dalton BancroftPhantoms (PHI)LW/RW232001-02-26CANNo212 Lbs6 ft1NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$185,714$65,000$18,571$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Danil GushchinPhantoms (PHI)LW/RW222002-02-06RUSNo165 Lbs5 ft8NoNoN/ANoNo12024-08-31FalseFalsePro & Farm866,250$247,500$86,625$24,750$No---------------------------
Elliot DesnoyersPhantoms (PHI)LW/RW222002-01-21CANNo183 Lbs5 ft11NoNoN/ANoNo12024-08-31FalseFalsePro & Farm735,000$210,000$73,500$21,000$No---------------------------
Erik BargholtzPhantoms (PHI)C232001-04-12USANo100 Lbs4 ft0NoNoAssign ManuallyNoNo32026-03-29FalseFalsePro & Farm650,000$185,714$65,000$18,571$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Georgi RomanovPhantoms (PHI)G251999-12-15RUSNo207 Lbs6 ft5NoNoN/ANoNo12025-09-08FalseFalsePro & Farm682,500$195,000$68,250$19,500$No---------------------------
Grant HuttonPhantoms (PHI)D291995-07-25USANo210 Lbs6 ft3NoNoAssign ManuallyNoNo32025-11-04FalseFalsePro & Farm650,000$185,714$65,000$18,571$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Hudson SchandorPhantoms (PHI)C/LW242000-09-29CANNo100 Lbs4 ft0NoNoFree AgentNoNo12025-07-04FalseFalsePro & Farm650,000$185,714$65,000$18,571$No---------------------------
Israel MianscumPhantoms (PHI)C/LW/RW212003-04-18CANNo198 Lbs6 ft1NoNoTrade2025-07-02NoNo1FalseFalsePro & Farm650,000$185,714$65,000$18,571$No---------------------------
Jeremy WilmerPhantoms (PHI)LW/RW212003-08-16USANo100 Lbs4 ft0NoNoFree AgentNoNo22025-07-04FalseFalsePro & Farm650,000$185,714$65,000$18,571$No650,000$--------650,000$--------No--------
Jimi SuomiPhantoms (PHI)D212003-03-01FINNo165 Lbs5 ft10NoNoTrade2025-07-04NoNo1FalseFalsePro & Farm675,000$192,857$67,500$19,286$No---------------------------
Joey AndersonPhantoms (PHI)LW/RW261998-06-19USANo207 Lbs6 ft0NoNoN/ANoNo12024-08-31FalseFalsePro & Farm1,700,000$485,714$170,000$48,571$No---------------------------
Josef KorenarPhantoms (PHI)G261998-01-31CZENo185 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm682,500$195,000$68,250$19,500$No---------------------------
Kurtis MacDermidPhantoms (PHI)LW/RW301994-03-25CANNo233 Lbs6 ft5NoNoTrade2025-11-10NoNo12025-06-26FalseFalsePro & Farm650,000$185,714$65,000$18,571$No---------------------------
Lawton ZacherPhantoms (PHI)G212003-12-01USANo179 Lbs6 ft0NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$185,714$65,000$18,571$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Logan MaillouxPhantoms (PHI)D212003-04-15CANNo213 Lbs6 ft3NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,312,500$375,000$131,250$37,500$No1,312,500$--------1,312,500$--------No--------
Luca MunzenbergerPhantoms (PHI)D222002-11-24GERYes201 Lbs6 ft0NoNoProspectNoNo22025-08-20FalseFalsePro & Farm750,000$214,286$75,000$21,429$No750,000$--------750,000$--------No--------
Lucas OlvestadPhantoms (PHI)D222002-03-19SWENo190 Lbs6 ft1NoNoFree AgentNoNo12025-07-05FalseFalsePro & Farm650,000$185,714$65,000$18,571$No---------------------------
Matt Martin (contrat à 1 volet)Phantoms (PHI)LW/RW351989-05-08CANNo215 Lbs6 ft3NoNoFree AgentNoNo12025-06-09FalseFalsePro & Farm650,000$185,714$650,000$185,714$No---------------------------
Matthew SopPhantoms (PHI)C/LW212003-02-04CANNo183 Lbs6 ft0NoNoTrade2025-07-02NoNo1FalseFalsePro & Farm650,000$185,714$65,000$18,571$No---------------------------
Patrick Brown (contrat à 1 volet)Phantoms (PHI)C/RW321992-05-29USANo218 Lbs6 ft1NoNoFree AgentNoNo12025-06-26FalseFalsePro & Farm650,000$185,714$650,000$185,714$No---------------------------
Riley ThompsonPhantoms (PHI)C222002-08-17CANNo216 Lbs6 ft2NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$185,714$65,000$18,571$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Sam DickinsonPhantoms (PHI)D182006-06-07CANYes209 Lbs6 ft1NoNoDraftNoNo32025-08-20FalseFalsePro & Farm1,500,000$428,571$150,000$42,857$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Santeri HuovilaPhantoms (PHI)LW202004-07-16FINNo172 Lbs5 ft10NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$185,714$65,000$18,571$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Tom WillanderPhantoms (PHI)D192005-02-09SWEYes190 Lbs5 ft11NoNoProspectNoNo32025-08-20FalseFalsePro & Farm1,500,000$428,571$150,000$42,857$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Tristan SarslandPhantoms (PHI)D202004-02-25USANo203 Lbs5 ft11NoNoAssign ManuallyNoNo32026-03-29FalseFalsePro & Farm650,000$185,714$65,000$18,571$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Viktor HurtigPhantoms (PHI)D222002-04-28SWEYes198 Lbs6 ft4NoNoProspectNoNo22025-08-20FalseFalsePro & Farm650,000$185,714$65,000$18,571$No650,000$--------650,000$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2923.38187 Lbs5 ft101.90788,810$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Santeri HuovilaAlexandre DoucetMatt Martin28122
2Patrick BrownRiley ThompsonElliot Desnoyers28122
3Joey AndersonHudson SchandorDanil Gushchin25122
4Dalton BancroftMatthew SopKurtis MacDermid19122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jimi SuomiLuca Munzenberger32122
2Logan MaillouxBen Robertson30122
3Billy SweezeyGrant Hutton28122
4Jimi SuomiGrant Hutton10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Danil GushchinAlexandre DoucetElliot Desnoyers50122
2Patrick BrownRiley ThompsonJoey Anderson50122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Grant HuttonLuca Munzenberger50122
2Logan MaillouxBilly Sweezey50122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Riley ThompsonJoey Anderson50122
2Matthew SopMatt Martin50122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Billy SweezeyGrant Hutton50122
2Logan MaillouxBen Robertson50122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Matt Martin50122Dalton BancroftLuca Munzenberger50122
2Alexandre Doucet50122Logan MaillouxGrant Hutton50122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Matthew SopDanil Gushchin50122
2Patrick BrownJoey Anderson50122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Billy SweezeyBen Robertson50122
2Logan MaillouxLuca Munzenberger50122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Danil GushchinHudson SchandorDalton BancroftLuca MunzenbergerLogan Mailloux
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joey AndersonAlexandre DoucetBilly SweezeyLogan MaillouxGrant Hutton
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Hudson Schandor, Elliot Desnoyers, Joey AndersonPatrick Brown, Elliot DesnoyersPatrick Brown
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ben Robertson, Billy Sweezey, Luca MunzenbergerLogan MaillouxLogan Mailloux, Luca Munzenberger
Tirs de pénalité
Alexandre Doucet, Riley Thompson, Elliot Desnoyers, Matt Martin, Santeri Huovila
Gardien
#1 : Lawton Zacher, #2 : Josef Korenar


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
1Norsemen541000002013722000000104632100000109180.8002037570181817116911214212511845211810324833.33%19384.21%013027846.76%12126545.66%8718547.03%221112236106205103
2Penguins624000002425-13120000012102312000001215-340.3332442660081817121111214212512217817612025624.00%28967.86%113027846.76%12126545.66%8718547.03%221112236106205103
Total116500000443865320000022148633000002224-2120.5454479123018181713801121421251405130294223491428.57%471274.47%113027846.76%12126545.66%8718547.03%221112236106205103
_Since Last GM Reset116500000443865320000022148633000002224-2120.5454479123018181713801121421251405130294223491428.57%471274.47%113027846.76%12126545.66%8718547.03%221112236106205103
_Vs Conference116500000443865320000022148633000002224-2120.5454479123018181713801121421251405130294223491428.57%471274.47%113027846.76%12126545.66%8718547.03%221112236106205103
_Vs Division641000002425-13200000012102321000001215-380.6672442660081817121111214212512217817612025624.00%28967.86%113027846.76%12126545.66%8718547.03%221112236106205103

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
1112L1447912338040513029422301
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
116500004438
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
53200002214
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
63300002224
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
491428.57%471274.47%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
1121421251818171
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
13027846.76%12126545.66%8718547.03%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
221112236106205103


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
13Phantoms4Norsemen3WSommaire du match
311Phantoms2Norsemen5LSommaire du match
519Norsemen0Phantoms5WSommaire du match
727Norsemen4Phantoms5WXSommaire du match
935Phantoms4Norsemen1WSommaire du match
1558Phantoms2Penguins4LSommaire du match
1762Phantoms4Penguins7LSommaire du match
1966Penguins2Phantoms7WSommaire du match
2170Penguins4Phantoms3LXSommaire du match
2374Phantoms6Penguins4WSommaire du match
2578Penguins4Phantoms2LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité25005500
Prix des billets4520
Assistance10,67821,770
Assistance PCT85.42%79.16%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
36 6490 - 81.12% 219,818$1,099,092$8000110

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 2,157,550$ 2,157,550$ 600,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 27 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 12 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

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