Condors

GP: 7 | W: 5 | L: 1 | OTL: 1 | P: 11
GF: 21 | GA: 18 | PP%: 20.45% | PK%: 80.43%
DG: Christian Nolet | Morale : 50 | Moyenne d'Équipe : N/A
Prochain matchs #90 vs Sharks
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Brandon PirriXXX100.00754385686863746657615556856768615000
2Brian GibbonsXX100.00654191706155705525505570536465605000
3Mason MarchmentX100.00747767607759596150516763644444635000
4Matt LuffX100.00734396647156765926675758254949635000
5Dennis Yan (R)X100.00757282637266695650475865555252605000
6Nicholas Merkley (R)XX100.00736885796867696278625863554444645000
7Gabriel Fontaine (R)X100.00777190517158615063474664445050545000
8Mason Shaw (R)X100.00716486586462645569485760544444585000
9David Gustafsson (R)X100.00594199807145575164505769254646605000
10Philipp Kurashev (R)X100.00777092667064665974575764544444625000
11Jayce HawrylukXX100.00904582676758546136726261255757665000
12Caleb JonesX100.00714392677164796125505066755959605000
13Dennis GilbertX100.00999952617767745825494881254646615000
14Frederic Allard (R)X100.00736690616673795125464062385050545000
15Korbinian HolzerX100.00855878687969615625454786256161615000
16Zach RedmondX100.00797687657671765525514168395959575000
17Ben HarpurX100.00818572658561645125443968375959545000
Rayé
MOYENNE D'ÉQUIPE100.0076628465716268574453536646535360500
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
1Brian Elliott100.0063626380675964646463767173645000
2Christopher Gibson100.0060637972626553636159304545605000
3Laurent Brossoit100.0059535381655453576259455353585000
Rayé
MOYENNE D'ÉQUIPE100.006159657865595761626050565761500
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joel Bouchard70696475706580CAN483900,000$


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
1Jayce HawrylukCondors (EDM)C/RW744821201614102840.00%015622.422354300000270036.78%17400001.0212000100
2Korbinian HolzerCondors (EDM)D7246020020984725.00%615722.45224533000026100.00%000000.7600000010
3Mason MarchmentCondors (EDM)LW74153120761431028.57%110715.42101260000160036.36%2200000.9300000100
4Nicholas MerkleyCondors (EDM)C/RW7055-1554106370.00%013018.620443330000190050.00%2600000.7711001001
5David GustafssonCondors (EDM)C714530001584812.50%09313.3201118000010048.05%7700001.0700000001
6Dennis YanCondors (EDM)LW7224620116122716.67%010414.89000000000100100.00%100000.7700000100
7Brian GibbonsCondors (EDM)C/LW7123-26071080612.50%012317.67112329000041040.00%1000000.4900000001
8Matt LuffCondors (EDM)RW7213-340108151513.33%013819.760111270000160050.00%800000.4300000100
9Frederic AllardCondors (EDM)D71234203661016.67%812017.2810123000017000.00%000000.5000000010
10Ben HarpurCondors (EDM)D70333801335010.00%611516.5000037000011000.00%000000.5200000001
11Brandon PirriCondors (EDM)C/LW/RW7112-10066831312.50%215121.601123310000360033.33%900000.2612000100
12Caleb JonesCondors (EDM)D7022020165320.00%615922.75022332000030000.00%000000.2500000000
13Dennis GilbertCondors (EDM)D7022-22002085230.00%414921.29011531000022000.00%000000.2700000010
14Mason ShawCondors (EDM)C7011200023030.00%0304.2901100000000044.00%2500000.6700000000
15Zach RedmondCondors (EDM)D7101-3000352120.00%515422.05101332000029100.00%000000.1300000000
16Philipp KurashevCondors (EDM)C7011-2407177330.00%012017.24000229000000054.17%12000000.1700000000
17Gabriel FontaineCondors (EDM)C7000-220030010.00%0426.04000012000090060.87%2300000.0000000000
Stats d'équipe Total ou en Moyenne1191935547995125132125338515.20%38205417.27917264035200002703045.25%49500000.5335001534
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire MoyenSalaire Moyen 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
Ben HarpurCondors (EDM)D251995-01-12No222 Lbs6 ft6NoNoNo4Pro & Farm725,000$725,000$725,000$725,000$0$0$No725,000$725,000$725,000$Lien
Brandon PirriCondors (EDM)C/LW/RW291991-04-10No186 Lbs6 ft0NoNoNo1Pro & Farm650,000$650,000$650,000$650,000$0$0$NoLien
Brian ElliottCondors (EDM)G351985-04-09No209 Lbs6 ft2NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Brian GibbonsCondors (EDM)C/LW321988-02-05No175 Lbs5 ft8NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Caleb JonesCondors (EDM)D231997-06-06No192 Lbs6 ft1NoNoNo2Pro & Farm815,000$815,000$450,000$450,000$0$0$No815,000$Lien
Christopher GibsonCondors (EDM)G271992-12-27No188 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
David GustafssonCondors (EDM)C202000-04-11Yes194 Lbs6 ft1NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Dennis GilbertCondors (EDM)D231996-10-30No198 Lbs6 ft2NoNoNo3Pro & Farm987,500$987,500$925,000$925,000$0$0$No925,000$925,000$Lien
Dennis YanCondors (EDM)LW231997-04-14Yes197 Lbs6 ft1NoNoNo3Pro & Farm935,833$935,833$935,833$935,833$0$0$No935,833$935,833$
Frederic AllardCondors (EDM)D221997-12-27Yes179 Lbs6 ft1NoNoNo3Pro & Farm921,666$921,666$921,666$921,666$0$0$No921,666$921,666$
Gabriel FontaineCondors (EDM)C231997-04-30Yes191 Lbs6 ft1NoNoNo3Pro & Farm736,667$736,667$736,667$736,667$0$0$No736,667$736,667$
Jayce HawrylukCondors (EDM)C/RW241996-01-01No186 Lbs5 ft11NoNoNo3Pro & Farm899,125$899,125$874,125$874,125$0$0$No874,125$874,125$Lien
Korbinian HolzerCondors (EDM)D321988-02-16No214 Lbs6 ft3NoNoNo3Pro & Farm875,000$875,000$850,000$850,000$0$0$No850,000$850,000$Lien
Laurent BrossoitCondors (EDM)G271993-03-22No204 Lbs6 ft3NoNoNo2Pro & Farm1,225,000$1,225,000$1,225,000$1,225,000$0$0$No1,225,000$Lien
Mason MarchmentCondors (EDM)LW251995-03-06No204 Lbs6 ft4NoNoNo1Pro & Farm1,000,000$1,000,000$1,000,000$1,000,000$0$0$NoLien
Mason ShawCondors (EDM)C211998-11-02Yes180 Lbs5 ft9NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Matt LuffCondors (EDM)RW231997-05-04No188 Lbs6 ft3NoNoNo2Pro & Farm677,777$677,777$677,777$677,777$0$0$No677,777$Lien
Nicholas MerkleyCondors (EDM)C/RW231997-05-23Yes194 Lbs5 ft10NoNoNo2Pro & Farm1,075,833$1,075,833$1,075,833$1,075,833$0$0$No1,075,833$Lien
Philipp KurashevCondors (EDM)C201999-10-12Yes192 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$925,000$925,000$0$0$No925,000$925,000$
Zach RedmondCondors (EDM)D311988-07-25No208 Lbs6 ft2NoNoNo1Pro & Farm612,500$612,500$612,500$612,500$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2025.40195 Lbs6 ft12.25895,595$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brandon PirriJayce HawrylukNicholas Merkley35122
2Brian GibbonsPhilipp KurashevMatt Luff30122
3Mason MarchmentDavid GustafssonDennis Yan25122
4Dennis YanMason ShawJayce Hawryluk10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Korbinian HolzerCaleb Jones35122
2Dennis GilbertZach Redmond30122
3Ben HarpurFrederic Allard25122
4Korbinian HolzerCaleb Jones10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brandon PirriJayce HawrylukNicholas Merkley60122
2Brian GibbonsPhilipp KurashevMatt Luff40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Korbinian HolzerCaleb Jones60122
2Dennis GilbertZach Redmond40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jayce HawrylukBrandon Pirri60122
2Nicholas MerkleyMatt Luff40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Korbinian HolzerCaleb Jones60122
2Dennis GilbertZach Redmond40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jayce Hawryluk60122Korbinian HolzerCaleb Jones60122
2Brandon Pirri40122Dennis GilbertZach Redmond40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Jayce HawrylukBrandon Pirri60122
2Nicholas MerkleyMatt Luff40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Korbinian HolzerCaleb Jones60122
2Dennis GilbertZach Redmond40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brandon PirriJayce HawrylukNicholas MerkleyKorbinian HolzerCaleb Jones
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brandon PirriJayce HawrylukNicholas MerkleyKorbinian HolzerCaleb Jones
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Gabriel Fontaine, David Gustafsson, Mason MarchmentGabriel Fontaine, David GustafssonMason Marchment
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ben Harpur, Frederic Allard, Dennis GilbertBen HarpurFrederic Allard, Dennis Gilbert
Tirs de Pénalité
Jayce Hawryluk, Brandon Pirri, Nicholas Merkley, Matt Luff, Philipp Kurashev
Gardien
#1 : , #2 :


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
1Admirals200001104401000010023-11000001021130.750459007933384246339304263314321.43%13284.62%09218649.46%9021641.67%429345.16%163109179558944
2Flames11000000321110000003210000000000021.00036900793318424633918410225120.00%5180.00%09218649.46%9021641.67%429345.16%163109179558944
3Monarchs21000010853100000104311100000042241.00081220007933394246339421533359222.22%13376.92%09218649.46%9021641.67%429345.16%163109179558944
4Moose2110000067-11010000013-21100000054120.500612180079333042463395115303516318.75%15380.00%09218649.46%9021641.67%429345.16%163109179558944
Total7310012021183411001101011-1320000101174110.7862135560079331254246339141389912544920.45%46980.43%09218649.46%9021641.67%429345.16%163109179558944
_Since Last GM Reset7310012021183411001101011-1320000101174110.7862135560079331254246339141389912544920.45%46980.43%09218649.46%9021641.67%429345.16%163109179558944
_Vs Conference62100120181623010011079-232000010117490.7501829470079331074246339123348910339820.51%41880.49%09218649.46%9021641.67%429345.16%163109179558944
_Vs Division7210012021183401001101011-132000010117490.6432135560079331254246339141389912544920.45%46980.43%09218649.46%9021641.67%429345.16%163109179558944

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
711OTL1213556125141389912500
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
73101202118
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41101101011
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3200010117
Derniers 10 Matchs
WLOTWOTL SOWSOL
510100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
44920.45%46980.43%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
42463397933
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
9218649.46%9021641.67%429345.16%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
163109179558944


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
2 - 2020-09-0411Condors2Admirals1WXXSommaire du Match
3 - 2020-09-0519Monarchs3Condors4WXXSommaire du Match
4 - 2020-09-0631Condors5Moose4WSommaire du Match
5 - 2020-09-0741Condors4Monarchs2WSommaire du Match
7 - 2020-09-0945Flames2Condors3WSommaire du Match
8 - 2020-09-1062Moose3Condors1LSommaire du Match
10 - 2020-09-1275Admirals3Condors2LXSommaire du Match
12 - 2020-09-1490Sharks-Condors-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
13 - 2020-09-15101Condors-Flames-
14 - 2020-09-16106Condors-Sharks-



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
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,791,190$ 1,743,440$ 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$ 4 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