Association Québécoise de Hockey Simulé - Farmers 

Farmers

GP: 3 | W: 1 | L: 2 | OTL: 0 | P: 2
GF: 12 | GA: 14 | PP%: 44.44% | PK%: 75.00%
DG: Nicolas Bellerose | Morale : 90 | Moyenne d'Équipe : 58
Prochain matchs #55 vs Warriors
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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
1Dakota Joshua (R)X100.00995774797558955730526171678675090660
2Alex Newhook (R)X95.00624588835770996071566457688273090650
3Axel Jonsson-Fjallby (R)X97.00654591816252605630536071678572090610
4Simon Holmstrom (R)X100.00504595777256605230456060688169090580
5Givani Smith (R)X100.00896340757750435030475255508572090570
6Egor Afanasyev (R)X100.00724592747954404730405455508270090550
7Nicholas Abruzzese (R)X100.00504595795550404930485055508370090540
8Jonathan Gruden (R)X97.00504595795250404530405070508269090540
9Matthew Knies (R)X100.00504592747566404730445055508070090540
10Samuel Walker (R)X100.00504595795253404930445456508371090540
11Josiah Slavin (R)X100.00504595776750404530405055508572090530
12Sampo Ranta (R)X100.00574590766750404530405055508269090530
13Jacob Bernard-Docker (R)X96.00724880775667404730445071508272090610
14Drew Helleson (R)X96.00504592776257404830405662508270090580
15Lucas Johansen (R)X100.00504595795353404530405062508573090570
16Dennis Cholowski (R)X100.00504595747053404530405055508573090570
17Mattias Norlinder (R)X100.00504595785350404530405055508370090560
Rayé
1Hugh McGing (R)X100.00504595794650404530405059508471090530
2Arttu Ruotsalainen (R)X100.00504595775450404530405055508673090520
3Brayden Tracey (R)X100.00504595795550404530405055508269090520
MOYENNE D'ÉQUIPE99.0558478978625448483244535954837109057
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
1Elvis Merzlikins97.0070648083707270727070708881090640
2Samuel Ersson (R)100.0073507181767073707670708372090630
Rayé
1Daniil Tarasov (R)100.0070527588707070707070708373090630
2Yaroslav Askarov (R)100.0070506882707070707070708067090610
MOYENNE D'ÉQUIPE99.257154748472717171727070847309063
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dave Tippett65656565967248CAN624500,000$


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 GP 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
1Alex NewhookFarmers (REG)C3325-4001131741117.65%46923.0710125000020050.00%8469011.4400000100
2Jonathan GrudenFarmers (REG)C3404-2000492444.44%15518.5830335000010034.21%3816011.4300000100
3Givani SmithFarmers (REG)LW3033-240409230.00%25418.300221500000000.00%323001.0900000000
4Jacob Bernard-DockerFarmers (REG)D3033-320647270.00%127123.770110600001000.00%007000.8400000000
5Nicholas AbruzzeseFarmers (REG)RW3033-200627520.00%05317.7603325000000033.33%321001.1300000000
6Axel Jonsson-FjallbyFarmers (REG)LW3123-4003623294.35%05418.2901125000020014.29%772001.0900000000
7Lucas JohansenFarmers (REG)D3033-100122140.00%46120.530110500004000.00%004000.9700000000
8Samuel WalkerFarmers (REG)C33031001593533.33%14515.1400000000011051.61%3131001.3200000001
9Josiah SlavinFarmers (REG)LW3011200011100.00%0206.8300001000010050.00%600000.9800000000
10Sampo RantaFarmers (REG)RW3011000516400.00%04214.1400001000000050.00%412000.4700000000
11Mattias NorlinderFarmers (REG)D3011-100111100.00%14715.990000000001000.00%002000.4200000000
12Simon HolmstromFarmers (REG)RW3101-40053103710.00%05518.5300015000010025.00%841000.3600000000
13Drew HellesonFarmers (REG)D3000-300156330.00%67023.510000500001000.00%026000.0000000000
14Egor AfanasyevFarmers (REG)LW3000020427250.00%04414.750000100000000.00%220000.0000000000
15Matthew KniesFarmers (REG)LW3000-200022000.00%25418.250000000000000.00%002000.0000000000
16Dennis CholowskiFarmers (REG)D3000-200102110.00%35819.560001500003000.00%002000.0000000000
Stats d'équipe Total ou en Moyenne48121931-27804941118366110.17%3686117.94481212600000241043.01%1863048020.7200000201
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
1Elvis MerzlikinsFarmers (REG)31200.8544.6718000149640000.000030000
Stats d'équipe Total ou en Moyenne31200.8544.6718000149640000.000030000


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alex NewhookFarmers (REG)C222001-01-28Yes190 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm1,500,000$0$0$No
Arttu RuotsalainenFarmers (REG)LW251997-10-29Yes187 Lbs5 ft9NoNoNo3Avec RestrictionPro & Farm800,000$0$0$No
Axel Jonsson-FjallbyFarmers (REG)LW251998-02-10Yes189 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$No
Brayden TraceyFarmers (REG)LW222001-05-28Yes177 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm700,000$0$0$No
Dakota JoshuaFarmers (REG)C271996-05-15Yes206 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm950,000$0$0$No
Daniil TarasovFarmers (REG)G241999-03-27Yes196 Lbs6 ft5NoNoNo3Avec RestrictionPro & Farm700,000$0$0$No
Dennis CholowskiFarmers (REG)D251998-02-15Yes210 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm750,000$0$0$No
Drew HellesonFarmers (REG)D222001-03-26Yes190 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Egor AfanasyevFarmers (REG)LW222001-01-23Yes211 Lbs6 ft4NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Elvis MerzlikinsFarmers (REG)G291994-04-13No183 Lbs6 ft3NoNoNo1Sans RestrictionPro & Farm3,500,000$0$0$No
Givani SmithFarmers (REG)LW251998-02-27Yes214 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm700,000$0$0$No
Hugh McGingFarmers (REG)LW251998-07-11Yes176 Lbs5 ft8NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Jacob Bernard-DockerFarmers (REG)D232000-06-30Yes190 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm700,000$0$0$No
Jonathan GrudenFarmers (REG)C232000-05-04Yes172 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Josiah SlavinFarmers (REG)LW241998-12-31Yes189 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm700,000$0$0$No
Lucas JohansenFarmers (REG)D251997-11-16Yes176 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm700,000$0$0$No
Matthew KniesFarmers (REG)LW202002-10-17Yes210 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm900,000$0$0$No
Mattias NorlinderFarmers (REG)D232000-04-12Yes185 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm700,000$0$0$No
Nicholas AbruzzeseFarmers (REG)RW241999-06-04Yes183 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm1,000,000$0$0$No
Sampo RantaFarmers (REG)RW232000-05-31Yes195 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm900,000$0$0$No
Samuel ErssonFarmers (REG)G231999-10-20Yes176 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Samuel WalkerFarmers (REG)C241999-06-07Yes180 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Simon HolmstromFarmers (REG)RW222001-05-24Yes205 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm900,000$0$0$No
Yaroslav AskarovFarmers (REG)G212002-06-16Yes178 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm1,100,000$0$0$No
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2423.67190 Lbs6 ft12.83952,083$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Axel Jonsson-FjallbyAlex NewhookSimon Holmstrom35122
2Givani SmithJonathan GrudenNicholas Abruzzese30122
3Egor AfanasyevSamuel WalkerSampo Ranta25122
4Matthew KniesAlex Newhook10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob Bernard-DockerDrew Helleson35122
2Dennis CholowskiLucas Johansen30122
3Mattias NorlinderMatthew Knies25122
4Jacob Bernard-DockerDrew Helleson10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Axel Jonsson-FjallbyAlex NewhookSimon Holmstrom55122
2Givani SmithJonathan GrudenNicholas Abruzzese45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob Bernard-DockerDrew Helleson55122
2Dennis CholowskiLucas Johansen45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Alex NewhookAxel Jonsson-Fjallby55122
2Simon HolmstromGivani Smith45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob Bernard-DockerDrew Helleson55122
2Dennis CholowskiLucas Johansen45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Alex Newhook55122Jacob Bernard-DockerDrew Helleson55122
2Axel Jonsson-Fjallby45122Dennis CholowskiLucas Johansen45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Alex NewhookAxel Jonsson-Fjallby55122
2Simon HolmstromGivani Smith45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob Bernard-DockerDrew Helleson55122
2Dennis CholowskiLucas Johansen45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Axel Jonsson-FjallbyAlex NewhookSimon HolmstromJacob Bernard-DockerDrew Helleson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Axel Jonsson-FjallbyAlex NewhookSimon HolmstromJacob Bernard-DockerDrew Helleson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Josiah Slavin, Egor Afanasyev, Samuel WalkerJosiah Slavin, Egor AfanasyevSamuel Walker
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Mattias Norlinder, Dennis Cholowski, Lucas JohansenMattias NorlinderDennis Cholowski, Lucas Johansen
Tirs de Pénalité
Alex Newhook, Axel Jonsson-Fjallby, Simon Holmstrom, Givani Smith, Egor Afanasyev
Gardien
#1 : Elvis Merzlikins, #2 : Samuel Ersson


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
1Marmots1010000035-21010000035-20000000000000.0003580006513317455433294133133.33%20100.00%0277735.06%256041.67%294959.18%472688234422
2Rockets1010000034-1000000000001010000034-100.00036900065139174554330142243266.67%10100.00%0277735.06%256041.67%294959.18%472688234422
3Smirnoff Ice10001000651000000000001000100065121.000691500065147174554334132193133.33%110.00%0277735.06%256041.67%294959.18%472688234422
Total302010001214-21010000035-22010100099020.333122032000651119174554396368569444.44%4175.00%0277735.06%256041.67%294959.18%472688234422
_Since Last GM Reset302010001214-21010000035-22010100099020.333122032000651119174554396368569444.44%4175.00%0277735.06%256041.67%294959.18%472688234422
_Vs Conference302010001214-21010000035-22010100099020.333122032000651119174554396368569444.44%4175.00%0277735.06%256041.67%294959.18%472688234422
_Vs Division302010001214-21010000035-22010100099020.333122032000651119174554396368569444.44%4175.00%0277735.06%256041.67%294959.18%472688234422

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
32L1122032119963685600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
30210001214
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
101000035
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
201100099
Derniers 10 Matchs
WLOTWOTL SOWSOL
021000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
9444.44%4175.00%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
17455430651
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
277735.06%256041.67%294959.18%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
472688234422


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 - 2024-03-245Farmers3Rockets4LSommaire du Match
2 - 2024-03-2524Farmers6Smirnoff Ice5WXSommaire du Match
3 - 2024-03-2630Marmots5Farmers3LSommaire du Match
4 - 2024-03-2755Warriors-Farmers-
6 - 2024-03-2973Grizzlies-Farmers-
8 - 2024-03-3194Smirnoff Ice-Farmers-
9 - 2024-04-01106Farmers-Marlies-
10 - 2024-04-02114Farmers-Marmots-
11 - 2024-04-03126Farmers-TigersCats-
12 - 2024-04-04150Rockets-Farmers-
13 - 2024-04-05161Farmers-Grizzlies-
14 - 2024-04-06172Marlies-Farmers-
15 - 2024-04-07178Farmers-Warriors-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
18 - 2024-04-10206TigersCats-Farmers-



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
6 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,285,000$ 2,285,000$ 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$ 18 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
4582471602584337249884125602242172118544122100034216513134123337541878158712211819265980093091168229873477912602607729.62%2315974.46%6843169149.85%849165551.30%726135253.70%1895124618286531266628
4682254106505263315-5241102104402136158-2241152002103127157-30722634887513450881196206849169286631227878281210692323615.52%2837872.44%5691141448.87%714149547.76%608129946.81%2169157416645971124547
Total Saison Régulière1647257081089600564368235270664430827632823730024452922884195600102916294913721023725472712911622177799457615161591232949211322.97%51413773.35%111534310549.40%1563315049.62%1334265150.32%406428213492125023911175
Séries
451156000003733463300000211745230000016160103768105018141502936495134028179121144391128.21%38489.47%110321448.13%10420949.76%9218749.20%2101313068314269
Total Séries1156000003733463300000211745230000016160103768105018141502936495134028179121144391128.21%38489.47%110321448.13%10420949.76%9218749.20%2101313068314269