Phantoms
GP: 6 | W: 2 | L: 4
GF: 23 | GA: 27 | PP%: 21.43% | PK%: 75.00%
DG: Simon de Champlain | Morale : 24 | Moyenne d'Équipe : 64
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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
1Tyler Randell (R)X100.008365817282668076707274597566604040720241850,000$
2Michael Bournival (R)X100.007537757576737272667276697556484570710231900,000$
3Calle Jarnkrok (R) (C)X100.006331767373777567807576637058544239700241900,000$
4Tyler BrennerX100.006839697272737570616978757365523058700271950,000$
5Tomas KubalikX100.007132807675807676716973657054483966700253900,000$
6Brandon McMillan (R)X100.007127756979677368717373676949483749680251800,000$
7Travis Konecny (R)X100.005631728353715684656568597940407753660182500,000$
8Sven Andrighetto (R)X100.007634796177726866686279546945475362660224700,000$
9Nick Shore (R)X100.005526726867706571807371505550534338650231600,000$
10Cristoval Nieves (R)X100.006326747359647068737466486543435037640213600,000$
11David Kampf (R)X100.005342795765656367596469506242446438610202500,000$
12Lucas Wallmarkk (R)X100.006738675956685768687060595841416455610191500,000$
13Brendan Leipsic (R)X100.005033665962625961736968505843434825600213500,000$
14Dylan Olsen (R)X100.008135747275797271557470766260463834730242600,000$
15Jake Dotchin (R)X100.007640767172705864497254715547435156680214800,000$
16Ivan Provorov (R)X100.006847756769666164416861675040408576650182500,000$
17Rinat Valiev (R)X100.006834756561616170456056615742426276620204500,000$
18Devon Teows (R)X100.007048706259635766445949654845465672620211500,000$
Rayé
1Morgan Klimchuk (R)X100.006032696965707064636764647143425450630204650,000$
2Erik Nystrom (R)X100.006823726772666567645969607246444136630223600,000$
3Nick Sorensen (R)X100.005532726962606461585069496945455741590211400,000$
4Laurent Dauphin (R)X100.006736765566566567566758466342425720590204500,000$
5JC Lipon (R)X100.007054646268466560615157475347464820570221400,000$
6Anthony Angello (R)X100.004535775860726250606156544741415820560191500,000$
7A.J. Greer (R)X100.005840546265556955555456484843425620550192500,000$
8Cooper Marody (R)X100.004032675746565654687053334343416319530192500,000$
9Justin Kirkland (R)X100.005830575856526555476053424041415719520191500,000$
10Reid McNeill (R)X100.007347767281638071586655676353454354690232600,000$
11Mark Alt (R)X100.006832726765646657496856795552513434660242400,000$
12Brenden Kichton (R)X100.006430756765696466536058705951533825640232400,000$
13Blake Heinrich (R)X100.006435656769695352406863724742425338630204500,000$
MOYENNE D'ÉQUIPE100.00653672676766666560666459614846514364
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 SP
1Anton Forsberg100.00717267767076727270727056534443710
2Zachary Fucale100.00637451596770697175705442425553660
Rayé
1Jason Kasdorf100.00656376626068676562676551514619640
2Scott Wedgewood100.00646071636369685863695745453620630
MOYENNE D'ÉQUIPE100.0066676665657169676870624948453466
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Randy Cunneyworth69586975386555CAN500250,000$


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
1Michael BournivalPhantoms (Phi)LW64610-2601462351317.39%712821.361342190002230021.43%1452001.5600000010
2Tyler BrennerPhantoms (Phi)C628100195961541313.33%110918.21022318000071042.42%13232001.8300010100
3Tyler RandellPhantoms (Phi)RW6549-4759122071225.00%714824.702133190000220048.21%5621001.2100100011
4Calle JarnkrokPhantoms (Phi)C6325-240117144421.43%210116.86112219000030065.52%8722000.9900000010
5Tomas KubalikPhantoms (Phi)RW614500034127138.33%011018.430111170001110040.00%513000.9000000000
6Brandon McMillanPhantoms (Phi)LW613408010816476.25%210016.77011117000010033.33%645000.8000000001
7Nick ShorePhantoms (Phi)C61232002515756.67%36911.5200000000000048.84%4331000.8700000000
8Brendan LeipsicPhantoms (Phi)LW61232003683612.50%18013.4600000000090040.00%510000.7400000000
9Sven AndrighettoPhantoms (Phi)RW6213200105156613.33%18213.70000000000111037.50%832000.7300000100
10Ivan ProvorovPhantoms (Phi)D61123606543025.00%212220.38101115000018000.00%012000.3300000000
11Travis KonecnyPhantoms (Phi)RW6022-260338330.00%3498.310001100000000.00%111000.8000000000
12Jake DotchinPhantoms (Phi)D6022-2808148330.00%616928.18011024000025000.00%015000.2400000000
13Dylan OlsenPhantoms (Phi)D6112-240161571514.29%816928.32101323000025000.00%056000.2400000000
14Cristoval NievesPhantoms (Phi)C61011002364216.67%0355.8700000000030058.33%1210000.5700000000
15Blake HeinrichPhantoms (Phi)D4011360893020.00%57619.1300008000210000.00%004000.2600000000
16David KampfPhantoms (Phi)C6000000003000.00%0172.8500002000000050.00%200000.0000000000
17Rinat ValievPhantoms (Phi)D6000020758200.00%39315.6400007000013000.00%000000.0000000000
18Lucas WallmarkkPhantoms (Phi)C6000-100010000.00%091.540000100000000.00%000000.0000000000
19Devon TeowsPhantoms (Phi)D6000-240462100.00%37011.810000000003000.00%001000.0000000000
Stats d'équipe Total ou en Moyenne112233962-48010125120187649412.30%54174315.57610161719700051912048.79%3713337000.7100110232
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
1Anton ForsbergPhantoms (Phi)62200.8524.55264202013563000.000060000
2Zachary FucalePhantoms (Phi)30200.8754.52930075630000.000006000
Stats d'équipe Total ou en Moyenne92400.8594.54357202719193000.000066000


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
A.J. GreerPhantoms (Phi)LW191996-01-01Yes210 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Anthony AngelloPhantoms (Phi)C191996-01-01Yes210 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$No
Anton ForsbergPhantoms (Phi)G231992-01-01No191 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Blake HeinrichPhantoms (Phi)D201995-01-01Yes185 Lbs5 ft11NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$
Brandon McMillanPhantoms (Phi)LW251990-01-01Yes188 Lbs5 ft11NoNoNo1Pro & Farm800,000$0$0$No
Brendan LeipsicPhantoms (Phi)LW211994-01-01Yes165 Lbs5 ft8NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Brenden KichtonPhantoms (Phi)D231992-01-01Yes185 Lbs5 ft10NoNoNo2Pro & Farm400,000$0$0$No400,000$
Calle JarnkrokPhantoms (Phi)C241991-01-01Yes156 Lbs5 ft11NoNoNo1Pro & Farm900,000$0$0$No
Cooper MarodyPhantoms (Phi)C191996-01-01Yes184 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Cristoval NievesPhantoms (Phi)C211994-01-01Yes192 Lbs6 ft2NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$
David KampfPhantoms (Phi)C201995-01-01Yes188 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Devon TeowsPhantoms (Phi)D211994-01-01Yes191 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Dylan OlsenPhantoms (Phi)D241991-01-01Yes223 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No600,000$
Erik NystromPhantoms (Phi)LW221993-01-01Yes176 Lbs5 ft11NoNoNo3Pro & Farm600,000$0$0$No600,000$600,000$
Ivan ProvorovPhantoms (Phi)D181997-01-01Yes201 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
JC LiponPhantoms (Phi)RW221993-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm400,000$0$0$No
Jake DotchinPhantoms (Phi)D211994-01-01Yes207 Lbs6 ft2NoNoNo4Pro & Farm800,000$0$0$No800,000$800,000$800,000$
Jason KasdorfPhantoms (Phi)G231992-01-01No172 Lbs6 ft3NoNoNo2Pro & Farm450,000$0$0$No500,000$
Justin KirklandPhantoms (Phi)LW191996-01-01Yes204 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Laurent DauphinPhantoms (Phi)C201995-01-01Yes185 Lbs6 ft0NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$
Lucas WallmarkkPhantoms (Phi)C191996-01-01Yes178 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Mark AltPhantoms (Phi)D241991-01-01Yes201 Lbs6 ft1NoNoNo2Pro & Farm400,000$0$0$No400,000$
Michael BournivalPhantoms (Phi)LW231992-01-01Yes195 Lbs5 ft11NoNoNo1Pro & Farm900,000$0$0$No
Morgan KlimchukPhantoms (Phi)LW201995-01-01Yes185 Lbs5 ft11NoNoNo4Pro & Farm650,000$0$0$No650,000$650,000$650,000$
Nick ShorePhantoms (Phi)C231992-01-01Yes194 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$No
Nick SorensenPhantoms (Phi)RW211994-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm400,000$0$0$No
Reid McNeillPhantoms (Phi)D231992-01-01Yes210 Lbs6 ft3NoNoNo2Pro & Farm600,000$0$0$No650,000$
Rinat ValievPhantoms (Phi)D201995-01-01Yes185 Lbs6 ft1NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$
Scott WedgewoodPhantoms (Phi)G231992-01-01No190 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Sven AndrighettoPhantoms (Phi)RW221993-01-01Yes185 Lbs5 ft10NoNoNo4Pro & Farm700,000$0$0$No700,000$700,000$700,000$
Tomas KubalikPhantoms (Phi)RW251990-01-01No212 Lbs6 ft2NoNoNo3Pro & Farm900,000$0$0$No950,000$1,000,000$
Travis KonecnyPhantoms (Phi)RW181997-01-01Yes175 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$
Tyler BrennerPhantoms (Phi)C271988-01-01No190 Lbs6 ft2NoNoNo1Pro & Farm950,000$0$0$No
Tyler RandellPhantoms (Phi)RW241991-01-01Yes198 Lbs6 ft1NoNoNo1Pro & Farm850,000$0$0$No
Zachary FucalePhantoms (Phi)G201995-01-01No185 Lbs6 ft1NoNoNo4Pro & Farm500,000$0$0$No500,000$500,000$500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3521.60190 Lbs6 ft12.14585,714$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael BournivalCalle JarnkrokTyler Randell40122
2Brandon McMillanTyler BrennerTomas Kubalik30122
3Brendan LeipsicNick ShoreSven Andrighetto20122
4Tyler RandellCristoval NievesTravis Konecny10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dylan OlsenJake Dotchin40122
2Ivan ProvorovRinat Valiev30122
3Devon TeowsTravis Konecny20122
4Dylan OlsenJake Dotchin10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Michael BournivalCalle JarnkrokTyler Randell60122
2Brandon McMillanTyler BrennerTomas Kubalik40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dylan OlsenJake Dotchin60122
2Ivan ProvorovRinat Valiev40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tyler RandellMichael Bournival60122
2Calle JarnkrokTomas Kubalik40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dylan OlsenJake Dotchin60122
2Ivan ProvorovRinat Valiev40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tyler Randell60122Dylan OlsenJake Dotchin60122
2Michael Bournival40122Ivan ProvorovRinat Valiev40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Tyler RandellMichael Bournival60122
2Calle JarnkrokTomas Kubalik40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dylan OlsenJake Dotchin60122
2Ivan ProvorovRinat Valiev40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael BournivalCalle JarnkrokTyler RandellDylan OlsenJake Dotchin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Michael BournivalCalle JarnkrokTyler RandellDylan OlsenJake Dotchin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Lucas Wallmarkk, David Kampf, Sven AndrighettoLucas Wallmarkk, David KampfSven Andrighetto
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Devon Teows, Ivan Provorov, Rinat ValievDevon TeowsIvan Provorov, Rinat Valiev
Tirs de Pénalité
Tyler Randell, Michael Bournival, Calle Jarnkrok, Tomas Kubalik, Tyler Brenner
Gardien
#1 : Anton Forsberg, #2 : Zachary Fucale


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
LigueDomicileVisiteur
# 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
1Reign624000002327-4312000001012-2312000001315-240.33323396200941001876762580191548212528621.43%36975.00%06712553.60%6514445.14%4910248.04%128681225610855
Total624000002327-4312000001012-2312000001315-240.33323396200941001876762580191548212528621.43%36975.00%06712553.60%6514445.14%4910248.04%128681225610855
_Since Last GM Reset624000002327-4312000001012-2312000001315-240.33323396200941001876762580191548212528621.43%36975.00%06712553.60%6514445.14%4910248.04%128681225610855
_Vs Conference624000002327-4312000001012-2312000001315-240.33323396200941001876762580191548212528621.43%36975.00%06712553.60%6514445.14%4910248.04%128681225610855

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
64L2233962187191548212500
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
62400002327
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001012
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
31200001315
Derniers 10 Matchs
WLOTWOTL SOWSOL
240000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
28621.43%36975.00%0
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
676258094100
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
6712553.60%6514445.14%4910248.04%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
128681225610855


Derniers Match 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
1 - 2020-10-093Phantoms4Reign7LR1Sommaire du Match
2 - 2020-10-1011Phantoms4Reign2WSommaire du Match
3 - 2020-10-1119Reign6Phantoms3LR1Sommaire du Match
4 - 2020-10-1227Reign3Phantoms5WSommaire du Match
5 - 2020-10-1335Phantoms5Reign6LR1Sommaire du Match
6 - 2020-10-1443Reign3Phantoms2LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3419
Assistance6,0002,598
Assistance PCT100.00%86.60%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
37 2866 - 95.53% 88,677$266,030$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,050,000$ 1,910,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 0$ 0$




LigueDomicileVisiteur
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