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Phantoms
GP: 80 | W: 40 | L: 31 | OTL: 9 | P: 89
GF: 333 | GA: 314 | PP%: 24.62% | PK%: 77.88%
DG: Kym Fortin | Morale : 37 | Moyenne d’équipe : 65

Centre de jeu
Phantoms
40-31-9, 89pts
2
FINAL
3 Marlies
36-36-8, 80pts
Team Stats
W1SéquenceL1
21-15-4Fiche domicile21-13-6
19-16-5Fiche domicile15-23-2
5-4-1Derniers 10 matchs5-4-1
4.16Buts par match 3.81
3.93Buts contre par match 4.10
24.62%Pourcentage en avantage numérique19.94%
77.88%Pourcentage en désavantage numérique78.33%
Canucks
44-29-7, 95pts
1
FINAL
3 Phantoms
40-31-9, 89pts
Team Stats
L2SéquenceW1
23-14-3Fiche domicile21-15-4
21-15-4Fiche domicile19-16-5
4-6-0Derniers 10 matchs5-4-1
4.45Buts par match 4.16
3.91Buts contre par match 3.93
24.83%Pourcentage en avantage numérique24.62%
79.88%Pourcentage en désavantage numérique77.88%
Meneurs d'équipe
Buts
Joe Snively
55
Passes
Joe Snively
93
Points
Joe Snively
148
Plus/Moins
Rinat Valiev
10
Victoires
Zachary Fucale
29
Pourcentage d’arrêts
Kevin Lankinen
0.885

Statistiques d’équipe
Buts pour
333
4.16 GFG
Tirs pour
2661
33.26 Avg
Pourcentage en avantage numérique
24.6%
80 GF
Début de zone offensive
37.4%
Buts contre
314
3.93 GAA
Tirs contre
2604
32.55 Avg
Pourcentage en désavantage numérique
77.9%%
50 GA
Début de la zone défensive
35.1%
Informations de l'équipe

Directeur généralKym Fortin
EntraîneurKevin Dineen
DivisionFritz-Kraatz
ConférenceRobert-Lebel
CapitaineSven Andrighetto
Assistant #1Blake Heinrich
Assistant #2Cristoval Nieves


Informations de l’aréna

Capacité3,000
Assistance2,826
Billets de saison300


Informations de la formation

Équipe Pro35
Équipe Mineure18
Limite contact 53 / 250
Espoirs0


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
1Joe Snively (R)X100.007234838773817177757674558454525438720231900,000$
2Morgan KlimchukX100.007332767671767474687673757761503736720241900,000$
3Sven Andrighetto (C)X100.008135837380777471776879647566553630720261950,000$
4Cristoval Nieves (A)X100.007526777669737976768172617455533632710251900,000$
5J.T. BrownX100.007139766869688176697376736670642460710291900,000$
6Rem Pitlick (R)X100.006929748472766985747170657950505447710221900,000$
7David KampfX100.006343866970737175717175636947504257690242800,000$
8Nick SorensenX100.006533817675697070686276587752523757680251800,000$
9Laurent DauphinX100.007142786771667272657367546948483554660242750,000$
10A.J. Greer (R)X100.006443697570647567676667616050473757650232350,000$
11Brett Murray (R)X100.007941707480576766516068595043445254640213500,000$
12Oliver Wahlstrom (R)X100.006337805575726868716675486941427557640191500,000$
13Blake Heinrich (A)X100.007335777876796666577874835863503657740241950,000$
14Andrey PedanX100.008159777676627962577162756071563462720261900,000$
15Rinat ValievX100.007634837472726977566964736662514357710241850,000$
16Mikko LehtonenX100.007341766557717475577173636258533757680251750,000$
17Matt Kiersted (R)X100.006946717370626162536151665850454957640213500,000$
18Riley Stillman (R)X100.007142707066606759466459665247445057640213500,000$
Rayé
1Anthony Angello (R)X100.004939826868766856686666615947473720630233500,000$
2Josiah Slavin (R)X100.006137755765736265706471425447475219610211500,000$
3Cooper Marody (R)X100.004638736854626364757860425147453820600232350,000$
4Benoit-Olivier Groulx (R)X100.006243755966576362636062535841415820590191500,000$
5Fabian Zetterlund (R)X100.004938745967676057585171466242425420580201250,000$
6Alex Beaucage (R)X100.007642555874506856516661474840407520570182500,000$
7Arsen Khisamutdinov (R)X100.005728666354636063555757517148484320570212500,000$
8David Gustafsson (R)X100.005435716248565757736756435241416320560191500,000$
9Ty Smith (R)X100.005526737359566676417453634943426620620191500,000$
10Victor Berglund (R)X100.006629746666595454406140753944435520620204500,000$
11Cam York (R)X100.005132747344496574287646654640408020600182500,000$
12Kaedan Korczak (R)X100.005434755655655755285441684040407620570182500,000$
13Danil Zhuravlyov (R)X100.005425625645544657355048574643415120520192500,000$
MOYENNE D’ÉQUIPE100.00653775696666676759676460615047493865
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
1Zachary Fucale100.00717863717275747679756252513967720241900,000$
2Kevin Lankinen100.00696970696872657269655743435377670242900,000$
Rayé
1Zachary Sawchenko100.00655770605566705048757746484720600224500,000$
2Jacob Ingham100.00714958617151465759526041415520570191500,000$
MOYENNE D’ÉQUIPE100.0069636565676664646467644646494664
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Dineen73656679327257Can512500,000$


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
1Joe SnivelyPhantoms (Phi)C785593148-1100969135112324115.67%29161720.73213253602740112354348.34%96610027111.830200013101
2Lucas WallmarkkFlyersC563763100123401041262135811117.37%30124422.221021314118400011285053.00%17643516021.6101000761
3Morgan KlimchukPhantoms (Phi)LW56324577-136085771905712516.84%34127222.73624302921001111084247.27%1102929221.2101000435
4Rem PitlickPhantoms (Phi)RW8028457322801231052537917111.07%28136017.0131215212032024665140.00%1006722011.0711000343
5Cristoval NievesPhantoms (Phi)C67263056-716011899181468514.36%24115317.226612141520002921151.59%8493821010.9700000312
6Blake HeinrichPhantoms (Phi)D7554651-1853510614118356622.73%150199726.6431215302750001161010%04963000.5100100023
7David KampfPhantoms (Phi)C8028174582048771785310615.73%2799412.431012440001593247.64%5943017000.9100000335
8Sven AndrighettoPhantoms (Phi)RW55291544-41958683130366822.31%24115721.0516521321950001683151.24%1212819000.7601000135
9Rinat ValievPhantoms (Phi)D80123143108093144108525311.11%105179322.426410112140001213100%02464000.4800000012
10J.T. BrownPhantoms (Phi)RW7218213972801097494305619.15%27124117.2535861440005635149.37%791318000.6300000114
11Mikko LehtonenPhantoms (Phi)D80102737-1558011112612938477.75%83197924.74381117294000046300%03556000.3711000001
12Andrey PedanPhantoms (Phi)D702252782801331125729323.51%72148421.2001141660111116100%02644000.3600000102
13Laurent DauphinPhantoms (Phi)C75111526-1480424912439628.87%136198.2600000000011048.77%2441913000.8400000011
14Nick SorensenPhantoms (Phi)RW801114252100745312347818.94%1597012.13213458000002043.90%413110000.5202000003
15A.J. GreerPhantoms (Phi)LW801012224260895410633629.43%2191611.450111330000721045.83%24199000.4800000111
16Brett MurrayPhantoms (Phi)LW809918-12415943910333558.74%187329.16000020001110115.79%19185000.4900010010
17Riley StillmanPhantoms (Phi)D8011415-210065553512202.86%50101112.6500009000038000%0525000.3000000010
18Matt KierstedPhantoms (Phi)D804812934056915022258.00%74116614.580001310003132110%0830000.2100000000
19Oliver WahlstromPhantoms (Phi)RW794610-16120251933212212.12%45987.5800001000000038.46%1385000.3300000000
20Anthony AngelloPhantoms (Phi)C15156-20017751014.29%11228.18000000000130137.84%3713000.9800000000
21Ty SmithPhantoms (Phi)D13011-720578440%1418214.0301109000018000%008000.1100000000
22Josiah SlavinPhantoms (Phi)LW9011-620714160%1717.970000000002000%001000.2800000000
23Cooper MarodyPhantoms (Phi)C1000000000000%011.150000000000000%10000000000000
24Victor BerglundPhantoms (Phi)D1000-100021010%11111.280000000000000%00000000000000
25Cam YorkPhantoms (Phi)D2000-200010000%2199.830000100001000%00000001000000
Statistiques d’équipe totales ou en moyenne1444333543876-4646515167016332661874150512.51%8472372016.43801332132732512235241455401550.10%4962583505370.74210110373839
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
1Zachary FucalePhantoms (Phi)63292370.8813.8334661502211857907730.75046019231
2Kevin LankinenPhantoms (Phi)2811820.8853.7613562085741384030.50042060102
Statistiques d’équipe totales ou en moyenne91403190.8823.814822170306259812917688079333


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
A.J. GreerPhantoms (Phi)LW231996-01-01CANYes210 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm350,000$0$0$No400,000$--------250,000$--------No--------
Alex BeaucagePhantoms (Phi)RW182001-01-01CANYes192 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Andrey PedanPhantoms (Phi)D261993-01-01LTUNo213 Lbs6 ft5NoNoFree AgentNoNo12024-11-06FalseFalsePro & Farm900,000$0$0$No---------------------------
Anthony AngelloPhantoms (Phi)C231996-01-01USAYes210 Lbs6 ft5NoNoFree AgentNoNo32024-09-07FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Arsen KhisamutdinovPhantoms (Phi)RW211998-01-01RUSYes203 Lbs6 ft3NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Benoit-Olivier GroulxPhantoms (Phi)C192000-01-01FRAYes200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Blake HeinrichPhantoms (Phi)D241995-01-01USANo185 Lbs5 ft11NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm950,000$0$0$No---------------------------
Brett MurrayPhantoms (Phi)LW211998-01-01CANYes216 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Cam YorkPhantoms (Phi)D182001-01-01USAYes194 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Cooper MarodyPhantoms (Phi)C231996-01-01USAYes184 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm350,000$0$0$No400,000$--------250,000$--------No--------
Cristoval NievesPhantoms (Phi)C251994-01-01USANo192 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Danil ZhuravlyovPhantoms (Phi)D192000-01-01RUSYes163 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
David GustafssonPhantoms (Phi)LW192000-01-01SWEYes196 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
David KampfPhantoms (Phi)C241995-01-01CZENo188 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No900,000$--------700,000$--------No--------
Fabian ZetterlundPhantoms (Phi)LW201999-01-01SWEYes220 Lbs5 ft11NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm250,000$0$0$No---------------------------
J.T. BrownPhantoms (Phi)RW291990-01-01USANo170 Lbs5 ft10NoNoFree AgentNoNo12024-11-07FalseFalsePro & Farm900,000$0$0$No---------------------------
Jacob InghamPhantoms (Phi)G192000-01-01CANNo205 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Joe SnivelyPhantoms (Phi)C231996-01-01USAYes176 Lbs5 ft9NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm900,000$0$0$No---------------------------
Josiah SlavinPhantoms (Phi)LW211998-01-01USAYes189 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Kaedan KorczakPhantoms (Phi)D182001-01-01CANYes201 Lbs6 ft3NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Lien
Kevin LankinenPhantoms (Phi)G241995-01-01FINNo185 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Laurent DauphinPhantoms (Phi)C241995-01-01CANNo185 Lbs6 ft0NoNoFree AgentNoNo22024-09-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------
Matt KierstedPhantoms (Phi)D211998-01-01USAYes184 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Mikko LehtonenPhantoms (Phi)D251994-01-01FINNo196 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Morgan KlimchukPhantoms (Phi)LW241995-01-01CANNo185 Lbs5 ft11NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm900,000$0$0$No---------------------------
Nick SorensenPhantoms (Phi)RW251994-01-01SWENo185 Lbs6 ft1NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm800,000$0$0$No---------------------------
Oliver WahlstromPhantoms (Phi)RW192000-01-01USAYes204 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Rem PitlickPhantoms (Phi)RW221997-01-01USAYes196 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Riley StillmanPhantoms (Phi)D211998-01-01USAYes196 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Rinat ValievPhantoms (Phi)D241995-01-01RUSNo185 Lbs6 ft1NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm850,000$0$0$No---------------------------
Sven AndrighettoPhantoms (Phi)RW261993-01-01CHENo185 Lbs5 ft10NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm950,000$0$0$No---------------------------
Ty SmithPhantoms (Phi)D192000-01-01CANYes180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Victor BerglundPhantoms (Phi)D201999-01-01SWEYes183 Lbs6 ft1NoNoFree AgentNoNo42024-09-07FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------
Zachary FucalePhantoms (Phi)G241995-01-01CANNo185 Lbs6 ft1NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm900,000$0$0$No---------------------------
Zachary SawchenkoPhantoms (Phi)G221997-01-01CANNo185 Lbs6 ft1NoNoFree AgentNoNo42024-09-07FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3522.09192 Lbs6 ft11.69642,857$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Morgan KlimchukJoe SnivelySven Andrighetto42113
2J.T. BrownCristoval NievesRem Pitlick33113
3Brett MurrayDavid KampfNick Sorensen20113
4A.J. GreerLaurent DauphinOliver Wahlstrom5131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Blake HeinrichMikko Lehtonen45023
2Andrey PedanRinat Valiev35023
3Riley StillmanMatt Kiersted20131
4Riley StillmanMatt Kiersted0131
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Morgan KlimchukJoe SnivelySven Andrighetto60014
2J.T. BrownCristoval NievesRem Pitlick40014
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Blake HeinrichMikko Lehtonen60014
2Andrey PedanRinat Valiev40014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1David KampfMorgan Klimchuk60140
2Cristoval NievesJ.T. Brown40140
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Blake HeinrichRinat Valiev60140
2Andrey PedanMatt Kiersted40140
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Morgan Klimchuk60140Blake HeinrichRinat Valiev60140
2J.T. Brown40140Andrey PedanMatt Kiersted40140
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joe SnivelyMorgan Klimchuk60122
2David KampfSven Andrighetto40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Blake HeinrichMikko Lehtonen60122
2Andrey PedanRinat Valiev40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Morgan KlimchukJoe SnivelySven AndrighettoBlake HeinrichMikko Lehtonen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Morgan KlimchukJoe SnivelySven AndrighettoBlake HeinrichRinat Valiev
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Morgan Klimchuk, J.T. Brown, Nick SorensenMorgan Klimchuk, J.T. BrownRem Pitlick
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Blake Heinrich, Rinat Valiev, Andrey PedanMikko LehtonenBlake Heinrich, Rinat Valiev
Tirs de pénalité
Joe Snively, Rem Pitlick, Morgan Klimchuk, Nick Sorensen, Sven Andrighetto
Gardien
#1 : Zachary Fucale, #2 : Kevin Lankinen
Lignes d’attaque personnalisées en prolongation
Morgan Klimchuk, Joe Snively, Sven Andrighetto, J.T. Brown, Rem Pitlick, Cristoval Nieves, Nick Sorensen, David Kampf, Brett Murray, A.J. Greer
Lignes de défense personnalisées en prolongation
Blake Heinrich, Mikko Lehtonen, Andrey Pedan, Rinat Valiev, Matt Kiersted


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
1Admirals31101000201461010000067-121001000147740.6672034540087137102811191794576344962646509333.33%13469.23%0936183451.04%852171949.56%698134551.90%1747100116637261422721
2Americans431000001714332100000121021100000054160.750172744008713710281399179457634413244289111218.18%14192.86%0936183451.04%852171949.56%698134551.90%1747100116637261422721
3Barracuda3200100017982100100013761100000042261.00017294600871371028106917945763448640126210440.00%6183.33%0936183451.04%852171949.56%698134551.90%1747100116637261422721
4Bears210001009901000010056-11100000043130.7509132200871371028569179457634463124506116.67%2150.00%0936183451.04%852171949.56%698134551.90%1747100116637261422721
5Canucks64100100302553210000013112320001001714390.7503047771087137102819991794576344196604410426623.08%22863.64%2936183451.04%852171949.56%698134551.90%1747100116637261422721
6Checkers2110000013851010000056-11100000082620.500132336008713710286891794576344742912367342.86%6183.33%0936183451.04%852171949.56%698134551.90%1747100116637261422721
7Comets220000001055110000005231100000053241.00010142400871371028669179457634474224363133.33%20100.00%0936183451.04%852171949.56%698134551.90%1747100116637261422721
8Condors321000001082220000008531010000023-140.6671017270087137102896917945763448623257316318.75%7271.43%0936183451.04%852171949.56%698134551.90%1747100116637261422721
9Crunch2110000067-1110000002111010000046-220.5006101610871371028729179457634466186384250.00%30100.00%0936183451.04%852171949.56%698134551.90%1747100116637261422721
10Eagles3110100014104110000008442010100066040.66714243800871371028959179457634410231108113323.08%5180.00%0936183451.04%852171949.56%698134551.90%1747100116637261422721
11Firebirds211000006601010000024-21100000042220.50061016008713710286791794576344632916525120.00%8187.50%0936183451.04%852171949.56%698134551.90%1747100116637261422721
12Griffins402001011523-81000010045-1302000011118-720.250152540008713710281519179457634415052207617423.53%10280.00%0936183451.04%852171949.56%698134551.90%1747100116637261422721
13Gulls30300000814-62020000048-41010000046-200.000814221087137102810091794576344922786516425.00%40100.00%0936183451.04%852171949.56%698134551.90%1747100116637261422721
14Icehogs303000001216-41010000057-22020000079-200.0001221331087137102897917945763441012916558112.50%8362.50%0936183451.04%852171949.56%698134551.90%1747100116637261422721
15Islander211000008801010000035-21100000053220.500814220087137102857917945763446618163710220.00%8362.50%0936183451.04%852171949.56%698134551.90%1747100116637261422721
16Little Stars20001100660100010003211000010034-130.750681400871371028669179457634453204409111.11%20100.00%0936183451.04%852171949.56%698134551.90%1747100116637261422721
17Marlies623010001920-1321000001410430201000510-560.5001927460087137102817791794576344180735514029620.69%28389.29%0936183451.04%852171949.56%698134551.90%1747100116637261422721
18Moose32100000151231100000043121100000119240.66715254010871371028999179457634411127225515640.00%11190.91%0936183451.04%852171949.56%698134551.90%1747100116637261422721
19Penguins20200000610-41010000036-31010000034-100.00069150087137102865917945763447025249500.00%10100.00%0936183451.04%852171949.56%698134551.90%1747100116637261422721
20Punishers220000001174110000004131100000076141.00011172800871371028749179457634460156476350.00%30100.00%0936183451.04%852171949.56%698134551.90%1747100116637261422721
21Rockets613001012227-5302000011115-4311001001112-140.33322365800871371028211917945763441937244124311135.48%22672.73%0936183451.04%852171949.56%698134551.90%1747100116637261422721
22Senators43100000171163210000013851100000043160.75017304700871371028143917945763441375314681417.14%7271.43%0936183451.04%852171949.56%698134551.90%1747100116637261422721
23Thunderbirds210010001055110000005141000100054141.000101626008713710287691794576344662418519222.22%9188.89%0936183451.04%852171949.56%698134551.90%1747100116637261422721
24Wolfpack30101100812-4100010004312010010049-530.50081523008713710281049179457634410837187110220.00%9455.56%0936183451.04%852171949.56%698134551.90%1747100116637261422721
25Wranglers623001002428-4311001001517-231200000911-250.4172438621087137102816691794576344179413211936822.22%16568.75%0936183451.04%852171949.56%698134551.90%1747100116637261422721
Total80333107702333314194018150330117115417401516044011621602890.55633354387660871371028266191794576344260484748216703258024.62%2265077.88%2936183451.04%852171949.56%698134551.90%1747100116637261422721
_Since Last GM Reset80333107702333314194018150330117115417401516044011621602890.55633354387660871371028266191794576344260484748216703258024.62%2265077.88%2936183451.04%852171949.56%698134551.90%1747100116637261422721
_Vs Conference48182203302196196025111001201109102723712021018794-7470.4901963235194087137102815969179457634415435073229782125325.00%1463079.45%0936183451.04%852171949.56%698134551.90%1747100116637261422721
_Vs Division1859012016575-10934001014042-2925011002533-8150.417651011661087137102855491794576344552186131383962526.04%661478.79%0936183451.04%852171949.56%698134551.90%1747100116637261422721

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8089W133354387626612604847482167060
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8033317702333314
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4018153301171154
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4015164401162160
Derniers 10 matchs
WLOTWOTL SOWSOL
441100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3258024.62%2265077.88%2
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
91794576344871371028
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
936183451.04%852171949.56%698134551.90%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1747100116637261422721


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
415Senators3Phantoms2LSommaire du match
627Canucks6Phantoms4LSommaire du match
945Phantoms4Canucks5LXSommaire du match
1153Phantoms3Griffins7LSommaire du match
1361Wranglers4Phantoms5WR1Sommaire du match
1674Phantoms3Wranglers5LSommaire du match
1886Phantoms0Marlies5LSommaire du match
2095Rockets6Phantoms5LXXR1Sommaire du match
22113Marlies6Phantoms2LSommaire du match
23118Phantoms5Rockets6LXR1Sommaire du match
26130Phantoms6Admirals5WXSommaire du match
28142Americans4Phantoms5WSommaire du match
32165Marlies2Phantoms7WSommaire du match
34178Phantoms5Moose7LSommaire du match
36188Phantoms4Eagles3WXSommaire du match
38195Barracuda2Phantoms7WSommaire du match
42216Phantoms4Bears3WSommaire du match
45226Islander5Phantoms3LSommaire du match
48242Phantoms2Eagles3LSommaire du match
50250Penguins6Phantoms3LSommaire du match
53269Comets2Phantoms5WSommaire du match
57289Rockets4Phantoms2LR1Sommaire du match
61310Phantoms5Thunderbirds4WXSommaire du match
63318Punishers1Phantoms4WSommaire du match
65332Phantoms6Moose2WSommaire du match
67342Marlies2Phantoms5WSommaire du match
69352Phantoms8Checkers2WSommaire du match
72370Rockets5Phantoms4LR1Sommaire du match
77394Little Stars2Phantoms3WXSommaire du match
79402Phantoms4Crunch6LSommaire du match
81415Phantoms8Admirals2WSommaire du match
82423Thunderbirds1Phantoms5WSommaire du match
85436Phantoms4Barracuda2WSommaire du match
87448Americans4Phantoms3LSommaire du match
89459Phantoms4Senators3WSommaire du match
93476Barracuda5Phantoms6WXSommaire du match
96493Phantoms5Islander3WSommaire du match
98501Phantoms4Firebirds2WSommaire du match
99506Admirals7Phantoms6LSommaire du match
102522Phantoms3Icehogs4LSommaire du match
104526Phantoms4Gulls6LSommaire du match
106537Americans2Phantoms4WSommaire du match
108551Phantoms7Punishers6WSommaire du match
110562Bears6Phantoms5LXSommaire du match
113576Phantoms4Griffins6LSommaire du match
115587Griffins5Phantoms4LXSommaire du match
118605Phantoms3Penguins4LSommaire du match
119611Wolfpack3Phantoms4WXSommaire du match
123627Phantoms4Griffins5LXXSommaire du match
126641Eagles4Phantoms8WSommaire du match
129662Checkers6Phantoms5LSommaire du match
131676Phantoms5Americans4WSommaire du match
133686Moose3Phantoms4WSommaire du match
136706Condors4Phantoms5WSommaire du match
138715Phantoms2Condors3LSommaire du match
141734Icehogs7Phantoms5LSommaire du match
143743Phantoms4Icehogs5LSommaire du match
145759Wranglers7Phantoms6LXR1Sommaire du match
147765Phantoms3Wranglers5LSommaire du match
149779Phantoms3Little Stars4LXSommaire du match
151789Phantoms6Canucks5WSommaire du match
153797Wranglers6Phantoms4LR1Sommaire du match
155811Phantoms3Wranglers1WSommaire du match
157820Phantoms4Rockets2WR1Sommaire du match
158827Senators3Phantoms7WSommaire du match
161841Phantoms5Comets3WSommaire du match
162852Phantoms2Rockets4LR1Sommaire du match
164858Gulls3Phantoms1LSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
168878Senators2Phantoms4WSommaire du match
170888Phantoms7Canucks4WSommaire du match
173906Firebirds4Phantoms2LSommaire du match
176923Crunch1Phantoms2WSommaire du match
178932Phantoms3Wolfpack4LXSommaire du match
182953Condors1Phantoms3WSommaire du match
186973Gulls5Phantoms3LSommaire du match
188980Phantoms1Wolfpack5LSommaire du match
191998Canucks4Phantoms6WSommaire du match
192999Phantoms3Marlies2WXSommaire du match
1961021Phantoms2Marlies3LSommaire du match
1991035Canucks1Phantoms3WSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets7040
Assistance75,43837,589
Assistance PCT94.30%93.97%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2826 - 94.19% 178,086$7,123,429$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,751,167$ 2,250,000$ 2,250,000$ 500,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,139$ 2,232,582$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 13,614$ 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