ANA  ARI  BOS  BUF  CAR  CBJ  CGY  CHI  COL  DAL  DET  EDM  FLO  LAK  MIN  MTL  NJD  NSH  NYI  NYR  OTT  PHI  PIT  SJS  STL  TBL  TOR  VAN  VGK  WPG  WSH

Crunch

GP: 1 | W: 1 | L: 0
GF: 5 | GA: 1 | PP%: 0.00% | PK%: 100.00%
DG: JF Gibo | Morale : 50 | Moyenne d'Équipe : 63
Prochain matchs #11 vs Americans
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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 SP
1Brendan PerliniXX100.00693983678669816654627058696563050650
2Denis MalginXXX100.00663889696573726873676766686362050650
3Zach Aston-ReeseXX100.00855286647575636356616278596966050650
4Casey Mittelstadt (R)X100.00563691697774906874676552696162050640
5Phil VaroneX100.00573691647270666376666562617769050640
6Greg CareyX100.00583886637194956265616158627769050630
7Nick PaulXX100.00733789629274696165606063616764050630
8Greg McKeggXX100.00593786617375706274616362597368050630
9Andrew MangiapaneXX100.00583990646772646255616358646664050620
10Jordan KyrouXX100.00523692636977666272646159656262050620
11Reid BoucherX100.00543593636976696269616159637166050620
12Dennis CholowskiX100.00593787687682696730716556526163069640
13Philippe MyersX100.00783983639185686130625863486362026630
14Jacob MiddletonX100.00623885598579695830605463586563050610
15Sean DayX100.00753593558887815430555258456163050600
16Brandon HickeyX100.00663788558183775430555258456563050590
Rayé
1Kalle KossilaX100.00523691606778655969586066577167050610
2Boris KatchoukXX100.00653884588094955652535457556163050600
3Nicholas MerkleyX100.00553787626986806170635456586362050600
4Vladislav KamenevX100.00613885577964505773575862586563050600
5Ty Dellandrea (R)X100.00633690597572735869565759605962050600
6Cliff PuX100.00623594537890855256535154526163050580
MOYENNE D'ÉQUIPE100.0063388862777974615861606059666405062
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
1Tristan Jarry100.0080828079797880797880796771050680
2Troy Grosenick100.0077807874767577767577767884050670
Rayé
1Josef Korenar (R)100.0079757374787779787779786165050660
2Eddie Lack100.0066656384656466656466657985050610
MOYENNE D'ÉQUIPE100.007676747875747675747675717605066
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Denis MalginCrunch (TBL)C/LW/RW1022100017230.00%21818.250001000000000.00%000002.1900000000
2Phil VaroneCrunch (TBL)C11122001060616.67%01515.5800000000000079.17%2400002.5700000100
3Sean DayCrunch (TBL)D1022220200130.00%01919.250000000001000.00%000002.0800000000
4Andrew MangiapaneCrunch (TBL)C/LW1011100113010.00%01919.280000000000000.00%100001.0400000000
5Brendan PerliniCrunch (TBL)LW/RW11011000221350.00%01919.1200000000011066.67%300001.0500000000
6Dennis CholowskiCrunch (TBL)D11011002031333.33%12525.450001100001000.00%000000.7900000000
7Jacob MiddletonCrunch (TBL)D1011200111110.00%01919.780000000001000.00%000001.0100000000
8Greg CareyCrunch (TBL)C1011200111130.00%12020.33000000000000100.00%800000.9800000000
9Nick PaulCrunch (TBL)C/LW110120031103410.00%01616.200000000010000.00%000001.2300000001
10Zach Aston-ReeseCrunch (TBL)C/RW1011100326170.00%02323.8700020000010077.27%2200000.8400000000
11Greg McKeggCrunch (TBL)C/LW11011006142325.00%01818.670000100000000.00%000001.0700000010
12Brandon HickeyCrunch (TBL)D1000100110010.00%11616.800000000001000.00%000000.0000000000
13Casey MittelstadtCrunch (TBL)C1000100013020.00%01919.4800001000000061.29%3100000.0000000000
14Jordan KyrouCrunch (TBL)C/RW1000100113030.00%01818.670000100000000.00%000000.0000000000
15Philippe MyersCrunch (TBL)D1000120421310.00%12323.670000100000000.00%000000.0000000000
16Reid BoucherCrunch (TBL)LW1000000010010.00%022.28000000000000100.00%100000.0000000000
Stats d'équipe Total ou en Moyenne1659142040261650164510.00%629618.54000490001131073.33%9000000.9400000111
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
1Tristan JarryCrunch (TBL)11000.9621.0060001260000.000010000
Stats d'équipe Total ou en Moyenne11000.9621.0060001260000.000010000


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 Cap 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
Andrew MangiapaneCrunch (TBL)C/LW221996-04-04No184 Lbs5 ft10NoNoNo1Pro & Farm800,000$0$0$NoLien / Lien NHL
Boris KatchoukCrunch (TBL)LW/RW201998-06-18No199 Lbs6 ft2NoNoNo3Pro & Farm894,166$0$0$No894,166$894,166$Lien / Lien NHL
Brandon HickeyCrunch (TBL)D221996-04-13No201 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien / Lien NHL
Brendan PerliniCrunch (TBL)LW/RW221996-04-27No211 Lbs6 ft3NoNoNo1Pro & Farm1,363,333$0$0$NoLien / Lien NHL
Casey MittelstadtCrunch (TBL)C191998-11-22Yes202 Lbs6 ft1NoNoNo2Pro & Farm1,491,666$0$0$No1,491,666$Lien / Lien NHL
Cliff PuCrunch (TBL)RW201998-06-03No187 Lbs6 ft2NoNoNo3Pro & Farm910,833$0$0$No910,833$910,833$Lien / Lien NHL
Denis MalginCrunch (TBL)C/LW/RW211997-01-18No177 Lbs5 ft9NoNoNo1Pro & Farm693,333$0$0$NoLien / Lien NHL
Dennis CholowskiCrunch (TBL)D201998-02-15No195 Lbs6 ft1NoNoNo3Pro & Farm894,166$0$0$No894,166$894,166$Lien / Lien NHL
Eddie LackCrunch (TBL)G301988-01-05No187 Lbs6 ft4NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Greg CareyCrunch (TBL)C281990-04-05No204 Lbs5 ft10NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Greg McKeggCrunch (TBL)C/LW261992-06-17No194 Lbs6 ft0NoNoNo1Pro & Farm715,000$0$0$NoLien / Lien NHL
Jacob MiddletonCrunch (TBL)D221996-01-02No210 Lbs6 ft3NoNoNo2Pro & Farm735,000$0$0$No735,000$Lien / Lien NHL
Jordan KyrouCrunch (TBL)C/RW201998-05-05No175 Lbs6 ft0NoNoNo3Pro & Farm880,000$0$0$No880,000$880,000$Lien / Lien NHL
Josef KorenarCrunch (TBL)G201998-01-31Yes185 Lbs6 ft1NoNoNo2Pro & Farm723,333$0$0$No723,333$Lien / Lien NHL
Kalle KossilaCrunch (TBL)C251993-04-14No185 Lbs5 ft10NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Nicholas MerkleyCrunch (TBL)C211997-05-23No194 Lbs5 ft10NoNoNo2Pro & Farm1,075,833$0$0$No1,075,833$Lien / Lien NHL
Nick PaulCrunch (TBL)C/LW231995-03-20No230 Lbs6 ft4NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Phil VaroneCrunch (TBL)C271990-12-04No193 Lbs5 ft10NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Philippe MyersCrunch (TBL)D211997-01-25No210 Lbs6 ft5NoNoNo2Pro & Farm678,333$0$0$No678,333$Lien / Lien NHL
Reid BoucherCrunch (TBL)LW251993-09-08No195 Lbs5 ft10NoNoNo1Pro & Farm725,000$0$0$NoLien / Lien NHL
Sean DayCrunch (TBL)D201998-01-09No225 Lbs6 ft3NoNoNo3Pro & Farm910,833$0$0$No910,833$910,833$Lien / Lien NHL
Tristan JarryCrunch (TBL)G231995-04-29No194 Lbs6 ft2NoNoNo2Pro & Farm675,000$0$0$No675,000$Lien / Lien NHL
Troy GrosenickCrunch (TBL)G291989-08-27No185 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Ty DellandreaCrunch (TBL)C182000-07-21Yes190 Lbs6 ft1NoNoNo4Pro & Farm1,462,500$0$0$No1,431,667$1,431,667$1,431,667$Lien / Lien NHL
Vladislav KamenevCrunch (TBL)C221996-08-12No194 Lbs6 ft2NoNoNo1Pro & Farm894,167$0$0$NoLien / Lien NHL
Zach Aston-ReeseCrunch (TBL)C/RW241994-08-10No204 Lbs6 ft0NoNoNo1Pro & Farm925,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2622.69197 Lbs6 ft11.77856,634$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan PerliniZach Aston-ReeseDenis Malgin30122
2Greg McKeggCasey MittelstadtJordan Kyrou30122
3Nick PaulPhil VaroneGreg Carey25122
4Andrew MangiapaneGreg CareyZach Aston-Reese15122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiPhilippe Myers30122
2Jacob MiddletonSean Day30122
3Brandon HickeyAndrew Mangiapane25122
4Dennis CholowskiPhilippe Myers15122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brendan PerliniZach Aston-ReeseDenis Malgin60122
2Greg McKeggCasey MittelstadtJordan Kyrou40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiPhilippe Myers60122
2Jacob MiddletonSean Day40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Zach Aston-ReeseBrendan Perlini60122
2Denis MalginCasey Mittelstadt40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiPhilippe Myers60122
2Jacob MiddletonSean Day40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Zach Aston-Reese60122Dennis CholowskiPhilippe Myers60122
2Brendan Perlini40122Jacob MiddletonSean Day40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Zach Aston-ReeseBrendan Perlini60122
2Denis MalginCasey Mittelstadt40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dennis CholowskiPhilippe Myers60122
2Jacob MiddletonSean Day40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan PerliniZach Aston-ReeseDenis MalginDennis CholowskiPhilippe Myers
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brendan PerliniZach Aston-ReeseDenis MalginDennis CholowskiPhilippe Myers
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Reid Boucher, Phil Varone, Nick PaulReid Boucher, Phil VaroneNick Paul
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brandon Hickey, Jacob Middleton, Sean DayBrandon HickeyJacob Middleton, Sean Day
Tirs de Pénalité
Zach Aston-Reese, Brendan Perlini, Denis Malgin, Casey Mittelstadt, Phil Varone
Gardien
#1 : Tristan Jarry, #2 : Troy Grosenick


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
1Americans11000000514110000005140000000000021.0005914003200501723100266426100.00%20100.00%0364580.00%182962.07%121675.00%2922175127
Total11000000514110000005140000000000021.0005914003200501723100266426100.00%20100.00%0364580.00%182962.07%121675.00%2922175127
_Since Last GM Reset11000000514110000005140000000000021.0005914003200501723100266426100.00%20100.00%0364580.00%182962.07%121675.00%2922175127
_Vs Conference11000000514110000005140000000000021.0005914003200501723100266426100.00%20100.00%0364580.00%182962.07%121675.00%2922175127
_Vs Division11000000514110000005140000000000021.0005914003200501723100266426100.00%20100.00%0364580.00%182962.07%121675.00%2922175127

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
12W159145026642600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
110000051
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000051
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
100000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
100.00%20100.00%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
17231003200
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
364580.00%182962.07%121675.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2922175127


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 - 2020-04-053Americans1Crunch5WSommaire du Match
3 - 2020-04-0711Americans-Crunch-
5 - 2020-04-0919Crunch-Americans-
7 - 2020-04-1127Crunch-Americans-
9 - 2020-04-1335Americans-Crunch-
11 - 2020-04-1543Crunch-Americans-
13 - 2020-04-1751Americans-Crunch-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
40 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,227,249$ 2,219,166$ 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$ 12 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
Saison Régulière
28238350023426524817412117000121411221941171800222124126-2762654607252610971826260889880488251238167384013253686718.21%3216280.69%21555276756.20%1307249552.38%692129353.52%2039140918636021057540
38232370126421919821411917001221039674113200114211610214642193665852992665411262794084882054246571976914793597019.50%2874385.02%11424282050.50%1307273147.86%601121449.51%2059144218686011051534
4824229022342602035741231001223139944541191901011121109128426047173105918579828089489518915324347241405182160211018.27%56310780.99%51705316253.92%1522290552.39%649124552.13%2079141218466341040533
5824817052553041951094123100312215310053412570213315195569630453984317123878411324410071013117973218762658820172455522.45%2644483.33%21891302162.60%1443245258.85%782126761.72%2228161117205581036543
682492104242374232142412214021111701185241277021312041149098374667104114158125839398713291331130938247572153721062274419.38%2394481.59%72244358562.59%1479263856.07%850138661.33%2302169016505361008534
782471603574365216149412580123219911287412280234216610462943656391004151481228515400312801330133499272072761521932054923.90%2574682.10%72196351962.40%1672289357.79%829137460.33%2278167016975341018541
88262140103245319725641336010012319313841298000312221041181244538121265252201271026443214811507142636236869743018372215826.24%1802287.78%22219361561.38%1421247057.53%893142262.80%239818091571498978527
88262140103245319725641336010012319313841298000312221041181244538121265252201271026443214811507142636236869743018372215826.24%1802287.78%22219361561.38%1421247057.53%893142262.80%239818091571498978527
Total Saison Régulière65638018301715342726931686100732819988097111413678285393281819508823131326858468760269347667459114611618106717228141936492919267440193985584561414615244851120.87%229139082.98%28154532610459.20%115722105454.96%61891062358.26%177841285513790446381694283
Séries
4624000001920-131200000910-131200000101004193554203115021560786892205910216239923.08%431272.09%016424866.13%14823662.71%7110468.27%146100151477535
5624000001417-3312000008803120000069-34142438006431200657359319151521662627.69%25484.00%311323947.28%10121946.12%488755.17%14698144478041
68440000032257422000001614242200000161158325789001311803391031251101292745221129827.59%26580.77%117832255.28%18131557.46%6513050.00%211152174549751
71610600000514658530000022193853000002927220518813901221511361319617820930567173117420481122.92%531375.47%135865154.99%31061850.16%13026549.06%416290371119215111
811000000514110000005140000000000025914003200501723100266426100.00%20100.00%0364580.00%182962.07%121675.00%2922175127
Total Séries3719180000012110912191090000060528189900000615743812121333421474327414174414774564312963633279851433020.98%1493477.18%5849150556.41%758141753.49%32660254.15%951665858274482247