Phantoms
GP: 80 | W: 43 | L: 31 | OTL: 6 | P: 92
GF: 340 | GA: 342 | PP%: 22.32% | PK%: 79.32%
DG: Simon de Champlain | Morale : 57 | 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)X100.008365817282668076707274597566604039720241850,000$
2Michael Bournival (R)X100.007537757576737272667276697556484571710231900,000$
3Calle Jarnkrok (R) (C)X100.006331767373777567807576637058544241700241900,000$
4Tyler BrennerX100.006839697272737570616978757365523063700271950,000$
5Tomas KubalikX100.007132807675807676716973657054483968700253900,000$
6Brandon McMillan (R)X100.007127756979677368717373676949483751680251800,000$
7Travis Konecny (R)X100.005631728353715684656568597940407754660182500,000$
8Sven Andrighetto (R)X100.007634796177726866686279546945475364660224700,000$
9Nick Shore (R)X100.005526726867706571807371505550534339650231600,000$
10Cristoval Nieves (R)X100.006326747359647068737466486543435039640213600,000$
11David Kampf (R)X100.005342795765656367596469506242446440610202500,000$
12Lucas Wallmarkk (R)X100.006738675956685768687060595841416457610191500,000$
13Brendan Leipsic (R)X100.005033665962625961736968505843434827600213500,000$
14Dylan Olsen (R)X100.008135747275797271557470766260463836730242600,000$
15Jake Dotchin (R)X100.007640767172705864497254715547435158680214800,000$
16Ivan Provorov (R)X100.006847756769666164416861675040408578650182500,000$
17Blake Heinrich (R)X100.006435656769695352406863724742425347630204500,000$
18Rinat Valiev (R)X100.006834756561616170456056615742426278620204500,000$
19Devon Teows (R)X100.007048706259635766445949654845465674620211500,000$
Rayé
1Morgan Klimchuk (R)X100.006032696965707064636764647143425451630204650,000$
2Erik Nystrom (R)X100.006823726772666567645969607246444137630223600,000$
3Nick Sorensen (R)X100.005532726962606461585069496945455742590211400,000$
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)X100.007347767281638071586655676353454355690232600,000$
11Mark Alt (R)X100.006832726765646657496856795552513435660242400,000$
12Brenden Kichton (R)X100.006430756765696466536058705951533826640232400,000$
MOYENNE D'ÉQUIPE100.00653672676766666560666459614846514564
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 Forsberg100.00717267767076727270727056534444710
2Zachary Fucale100.00637451596770697175705442425554660
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)LW744368111680101361152949717314.63%46168222.731617335725021392696144.80%2796735111.3259200691
2Tomas KubalikPhantoms (Phi)RW80435295-31751091173009015314.33%38154519.31613193023721391914153.76%936735121.2347001853
3Tyler RandellPhantoms (Phi)RW58454691-211587932719014416.61%27138723.9213193240196314152296253.72%5646332041.3119001961
4Tyler BrennerPhantoms (Phi)C7334579157351241331746010219.54%36136218.66823312623211271113147.31%15413932111.3428010347
5Calle JarnkrokPhantoms (Phi)C532548733560701051654710215.15%26101719.1941519241860008792055.36%12592813011.4434000435
6Travis KonecnyPhantoms (Phi)RW78323062046083672397012713.39%14112214.398412241550000197146.48%714918011.1016000632
7Brandon McMillanPhantoms (Phi)LW5415274242407153118207212.71%3386516.025914211480001151264.71%342612000.9700000106
8Nick ShorePhantoms (Phi)C5418234112604449123368114.63%1068412.67336941000002052.41%3952015001.2000000022
9Reid McNeillPhantoms (Phi)D7353439-349511112511145464.50%99183425.14347172470116270000.00%02252100.4302001001
10Morgan KlimchukPhantoms (Phi)LW75141832-24207673115388312.17%2287411.651122160114543152.63%192118000.7300000210
11Sven AndrighettoPhantoms (Phi)RW80131730-51606952111436711.71%2682110.27000030000481036.36%332612000.7300000100
12Jake DotchinPhantoms (Phi)D7972027-105601051329936287.07%126187623.75369152570005263200.00%02455100.2900000100
13Dylan OlsenPhantoms (Phi)D36124255501061697423261.35%5196226.7312371370447150000.00%02632000.5200020005
14Lucas WallmarkkPhantoms (Phi)C80111223-2280384259102818.64%75036.29235544000000049.13%287511000.9100000012
15Cristoval NievesPhantoms (Phi)C5413922-9140383783205215.66%65129.49000000000350049.29%211203000.8601000111
16Erik NystromPhantoms (Phi)LW6461521-826066467628487.89%2171211.14145573000020153.57%281213000.5900000000
17Victor BartleyFlyersD2721618-124042563620135.56%3770426.080333890112107000.00%01225000.5100000010
18Ivan ProvorovPhantoms (Phi)D8011516-240060905827221.72%60135516.9411221420002160000.00%0829000.2401000010
19Blake HeinrichPhantoms (Phi)D671910-629549573214113.13%4678811.76134360000074010.00%01022000.2500010000
20David KampfPhantoms (Phi)C73549-3140153125121320.00%23384.640000100001150050.75%13423000.5300000010
21Mark AltPhantoms (Phi)D402791422042492311118.70%3160415.11000058000064010.00%0125000.3000000000
22Rinat ValievPhantoms (Phi)D800552200344118770.00%336608.25011019000041000.00%0013000.1501000000
23Devon TeowsPhantoms (Phi)D780557200323516760.00%386127.8500002000051000.00%0014000.1600000000
24Brenden KichtonPhantoms (Phi)D4004412081912910.00%173037.600000100003000.00%029000.2600000000
25Brendan LeipsicPhantoms (Phi)LW4921366010141311115.38%12244.57000021011391050.00%1844000.2700000000
26A.J. GreerPhantoms (Phi)LW26202-31002121112818.18%32148.24000010000330042.86%704000.1900000000
27Nick SorensenPhantoms (Phi)RW5301100015712180.00%22184.120001100000100045.83%2402000.0900000000
28Laurent DauphinPhantoms (Phi)C321012003421250.00%0441.38000000000280045.00%2000000.4500000000
29JC LiponPhantoms (Phi)RW13000000100000.00%050.390000300000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1723341567908-380145162017322670865144512.77%8582383613.8376131207291263191120772374381250.79%50175545385100.761648243423836
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)44211710.8744.082414401641304619030.846133918111
2Ilya SorokinFlyers34161050.8794.031859401251034534010.66724344110
3Zachary FucalePhantoms (Phi)146400.8584.565920045316169100.0000758000
Stats d'équipe Total ou en Moyenne92433160.8744.1248668033426541322140.730378080221


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
3Nick ShoreSven Andrighetto20122
4Cristoval NievesTravis Konecny10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dylan OlsenJake Dotchin40122
2Ivan ProvorovBlake Heinrich30122
3Rinat ValievDevon Teows20122
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 ProvorovBlake Heinrich40122
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 ProvorovBlake Heinrich40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tyler Randell60122Dylan OlsenJake Dotchin60122
2Michael Bournival40122Ivan ProvorovBlake Heinrich40122
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 ProvorovBlake Heinrich40122
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, Brendan LeipsicLucas Wallmarkk, David KampfBrendan Leipsic
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Rinat Valiev, Devon Teows, Ivan ProvorovRinat ValievDevon Teows, Ivan Provorov
Tirs de Pénalité
Tyler Randell, Michael Bournival, Calle Jarnkrok, Tomas Kubalik, Tyler Brenner
Gardien
#1 : Zachary Fucale, #2 : Anton Forsberg


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
1Admirals41101010161511010000024-2310010101411360.7501626421092118119191308518798576113038308718211.11%15286.67%0894175251.03%971188651.48%661133649.48%168392417217821467717
2Barracuda3110100016115110000009362010100078-140.66716274300921181191990851879857618230385012325.00%13192.31%1894175251.03%971188651.48%661133649.48%168392417217821467717
3Bears3110000189-1210000017611010000013-230.5008132100921181191999851879857611023432609333.33%17288.24%0894175251.03%971188651.48%661133649.48%168392417217821467717
4Checkers211000001112-11010000046-21100000076120.5001118290092118119196585187985761652118317571.43%9455.56%0894175251.03%971188651.48%661133649.48%168392417217821467717
5Comets21000010963110000003121000001065141.000913220092118119196985187985761702183910220.00%40100.00%0894175251.03%971188651.48%661133649.48%168392417217821467717
6Condors621020103125631001010181263110100013130100.83331518210921181191920885187985761212618012221523.81%351168.57%0894175251.03%971188651.48%661133649.48%168392417217821467717
7Crunch21100000512-7110000005321010000009-920.50059140092118119196385187985761671435467114.29%100100.00%0894175251.03%971188651.48%661133649.48%168392417217821467717
8Devils2010001011110100000107611010000045-120.5001118290092118119196685187985761761612408112.50%6266.67%1894175251.03%971188651.48%661133649.48%168392417217821467717
9Eagles330000001477110000005322200000094561.000142135009211811919107851879857619935186112433.33%9188.89%0894175251.03%971188651.48%661133649.48%168392417217821467717
10Griffins624000002225-3312000001213-1312000001012-240.33322386000921181191917385187985761175578613330723.33%44881.82%0894175251.03%971188651.48%661133649.48%168392417217821467717
11Heat2110000089-1110000005321010000036-320.5008142200921181191986851879857616227123810110.00%6350.00%1894175251.03%971188651.48%661133649.48%168392417217821467717
12IceHogs310000111082100000103212100000176150.83310162600921181191985851879857619948287620420.00%14192.86%0894175251.03%971188651.48%661133649.48%168392417217821467717
13Influenza3210000018126211000009901100000093640.667183452009211811919104851879857619832375915320.00%16475.00%0894175251.03%971188651.48%661133649.48%168392417217821467717
14Little Stars220000001174110000006331100000054141.0001117280092118119197185187985761602716337114.29%8187.50%0894175251.03%971188651.48%661133649.48%168392417217821467717
15Monsters312000001117-621100000911-21010000026-420.333111728009211811919105851879857611143441648225.00%18572.22%0894175251.03%971188651.48%661133649.48%168392417217821467717
16Moose64100001252233200000114113321000001111090.75025406500921181191917685187985761193617612917423.53%38878.95%2894175251.03%971188651.48%661133649.48%168392417217821467717
17Penguins312000001313021100000111011010000023-120.333131932009211811919107851879857619334145210110.00%9188.89%1894175251.03%971188651.48%661133649.48%168392417217821467717
18Punishers22000000734110000004221100000031241.000713200092118119196585187985761572614456116.67%7271.43%0894175251.03%971188651.48%661133649.48%168392417217821467717
19Rampage20200000710-31010000024-21010000056-100.0007132000921181191976851879857616317144410330.00%7185.71%0894175251.03%971188651.48%661133649.48%168392417217821467717
20Reign3210000013121211000009901100000043140.667132336009211811919938518798576110138344612325.00%170100.00%0894175251.03%971188651.48%661133649.48%168392417217821467717
21Rocket605000011931-12302000011217-530300000714-710.08319325120921181191919685187985761218677113733618.18%34973.53%0894175251.03%971188651.48%661133649.48%168392417217821467717
22Senators210001001284110000007251000010056-130.7501219310092118119197385187985761761725389222.22%10190.00%3894175251.03%971188651.48%661133649.48%168392417217821467717
23Sound Tigers42100010201462110000076121000010138560.7502035550092118119191108518798576112739357618316.67%15380.00%0894175251.03%971188651.48%661133649.48%168392417217821467717
24Thunderbirds402001101627-11201000101012-220100100615-930.375162642009211811919126851879857611445432806233.33%16662.50%0894175251.03%971188651.48%661133649.48%168392417217821467717
25Wolfpack20200000716-91010000037-41010000049-500.0007111800921181191968851879857617521105412433.33%5340.00%0894175251.03%971188651.48%661133649.48%168392417217821467717
Total80323104274340342-2401814010431831651840141703231157177-20920.575340563903409211811919261185187985761265886981616403277322.32%3827979.32%9894175251.03%971188651.48%661133649.48%168392417217821467717
_Since Last GM Reset80323104274340342-2401814010431831651840141703231157177-20920.575340563903409211811919261185187985761265886981616403277322.32%3827979.32%9894175251.03%971188651.48%661133649.48%168392417217821467717
_Vs Conference50191904044209201825109010231111038259100302198980580.580209352561409211811919156985187985761165153958810392134521.13%2765480.43%3894175251.03%971188651.48%661133649.48%168392417217821467717
_Vs Division248110201297103-6124401012565331247010004150-9240.50097161258309211811919753851879857617982463135211012221.78%1513676.16%2894175251.03%971188651.48%661133649.48%168392417217821467717

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8092L334056390326112658869816164040
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8032314274340342
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4018141043183165
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4014173231157177
Derniers 10 Matchs
WLOTWOTL SOWSOL
252010
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3277322.32%3827979.32%9
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
851879857619211811919
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
894175251.03%971188651.48%661133649.48%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
168392417217821467717


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
3 - 2020-10-1113Rocket4Phantoms3LXXSommaire du Match
5 - 2020-10-1329Condors2Phantoms6WR1Sommaire du Match
8 - 2020-10-1641Phantoms3Griffins1WSommaire du Match
10 - 2020-10-1854Griffins4Phantoms2LR2Sommaire du Match
14 - 2020-10-2274Phantoms4Admirals3WXXSommaire du Match
16 - 2020-10-2484Moose4Phantoms5WR1Sommaire du Match
17 - 2020-10-2593Phantoms4Condors3WR1Sommaire du Match
20 - 2020-10-28107Moose3Phantoms2LXXSommaire du Match
22 - 2020-10-30118Phantoms2Griffins4LR2Sommaire du Match
25 - 2020-11-02136Sound Tigers1Phantoms3WSommaire du Match
26 - 2020-11-03140Phantoms2Moose6LR1Sommaire du Match
28 - 2020-11-05148Phantoms2Rocket4LSommaire du Match
30 - 2020-11-07168Thunderbirds6Phantoms7WXXSommaire du Match
33 - 2020-11-10180Phantoms4Eagles3WSommaire du Match
35 - 2020-11-12191Penguins4Phantoms8WSommaire du Match
37 - 2020-11-14199Phantoms2Rocket4LSommaire du Match
39 - 2020-11-16209Phantoms3Punishers1WSommaire du Match
41 - 2020-11-18221Phantoms0Crunch9LSommaire du Match
43 - 2020-11-20231Moose4Phantoms7WR1Sommaire du Match
45 - 2020-11-22247Phantoms6Sound Tigers5WXXSommaire du Match
47 - 2020-11-24253Bears4Phantoms3LXXR1Sommaire du Match
49 - 2020-11-26265Phantoms7Checkers6WSommaire du Match
52 - 2020-11-29280Checkers6Phantoms4LSommaire du Match
54 - 2020-12-01292Phantoms2Monsters6LSommaire du Match
56 - 2020-12-03301Phantoms5Senators6LXSommaire du Match
58 - 2020-12-05309Thunderbirds6Phantoms3LSommaire du Match
60 - 2020-12-07321Phantoms9Influenza3WSommaire du Match
63 - 2020-12-10336Eagles3Phantoms5WSommaire du Match
66 - 2020-12-13355Phantoms4Reign3WSommaire du Match
68 - 2020-12-15361Monsters4Phantoms6WSommaire du Match
72 - 2020-12-19383Condors6Phantoms7WXXR1Sommaire du Match
74 - 2020-12-21393Phantoms2Thunderbirds10LSommaire du Match
76 - 2020-12-23401Phantoms4Devils5LSommaire du Match
78 - 2020-12-25414Comets1Phantoms3WSommaire du Match
80 - 2020-12-27423Phantoms5Griffins7LR2Sommaire du Match
83 - 2020-12-30440Heat3Phantoms5WSommaire du Match
87 - 2021-01-03462Devils6Phantoms7WXXSommaire du Match
89 - 2021-01-05471Phantoms4Thunderbirds5LXSommaire du Match
92 - 2021-01-08487Penguins6Phantoms3LSommaire du Match
94 - 2021-01-10498Phantoms4Moose2WR1Sommaire du Match
97 - 2021-01-13513Monsters7Phantoms3LSommaire du Match
102 - 2021-01-18533Phantoms4Wolfpack9LSommaire du Match
104 - 2021-01-20539Bears2Phantoms4WR1Sommaire du Match
108 - 2021-01-24560Rampage4Phantoms2LSommaire du Match
111 - 2021-01-27578Phantoms3Rocket6LSommaire du Match
112 - 2021-01-28587Phantoms5Admirals4WSommaire du Match
113 - 2021-01-29591Condors4Phantoms5WXR1Sommaire du Match
117 - 2021-02-02612Barracuda3Phantoms9WSommaire du Match
119 - 2021-02-04620Phantoms5Rampage6LSommaire du Match
121 - 2021-02-06634Phantoms5Moose3WR1Sommaire du Match
123 - 2021-02-08641Influenza6Phantoms4LSommaire du Match
126 - 2021-02-11663Phantoms3Heat6LSommaire du Match
127 - 2021-02-12669Sound Tigers5Phantoms4LSommaire du Match
131 - 2021-02-16684Phantoms5Little Stars4WSommaire du Match
133 - 2021-02-18693Griffins1Phantoms4WR2Sommaire du Match
134 - 2021-02-19701Phantoms1Bears3LR1Sommaire du Match
137 - 2021-02-22719IceHogs2Phantoms3WXXSommaire du Match
139 - 2021-02-24726Phantoms7Sound Tigers3WSommaire du Match
141 - 2021-02-26737Phantoms5Admirals4WXSommaire du Match
143 - 2021-02-28747Punishers2Phantoms4WSommaire du Match
146 - 2021-03-03760Phantoms3IceHogs1WR1Sommaire du Match
149 - 2021-03-06776Wolfpack7Phantoms3LSommaire du Match
155 - 2021-03-12800Senators2Phantoms7WSommaire du Match
157 - 2021-03-14812Phantoms4IceHogs5LXXR1Sommaire du Match
159 - 2021-03-16823Admirals4Phantoms2LSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
163 - 2021-03-20845Phantoms2Penguins3LSommaire du Match
165 - 2021-03-22850Crunch3Phantoms5WSommaire du Match
168 - 2021-03-25870Influenza3Phantoms5WSommaire du Match
173 - 2021-03-30893Reign3Phantoms5WSommaire du Match
175 - 2021-04-01902Phantoms2Condors4LR1Sommaire du Match
178 - 2021-04-04919Reign6Phantoms4LSommaire du Match
180 - 2021-04-06929Phantoms7Condors6WXR1Sommaire du Match
181 - 2021-04-07934Phantoms6Comets5WXXSommaire du Match
185 - 2021-04-11948Griffins8Phantoms6LR2Sommaire du Match
187 - 2021-04-13955Phantoms5Eagles1WSommaire du Match
189 - 2021-04-15972Little Stars3Phantoms6WSommaire du Match
192 - 2021-04-18984Phantoms5Barracuda4WXSommaire du Match
196 - 2021-04-221006Rocket5Phantoms3LSommaire du Match
200 - 2021-04-261024Rocket8Phantoms6LSommaire du Match
201 - 2021-04-271027Phantoms2Barracuda4LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3419
Assistance75,98729,615
Assistance PCT94.98%74.04%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 2640 - 88.00% 82,589$3,303,557$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,634,299$ 2,590,000$ 2,450,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
12,634$ 2,324,116$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 13,854$ 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