Association Québécoise de Hockey Simulé - Farmers 

Farmers

GP: 21 | W: 9 | L: 10 | OTL: 2 | P: 20
GF: 87 | GA: 82 | PP%: 26.98% | PK%: 79.66%
DG: Nicolas Bellerose | Morale : 90 | Moyenne d'Équipe : 58
Prochain matchs #339 vs Hunters
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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
1Alex Newhook (R)X98.00624588835770996071566457688273090650
2Axel Jonsson-Fjallby (R)X98.00654591816252605630536071678572090610
3Simon Holmstrom (R)X98.00504595777256605230456060688169090580
4Givani Smith (R)X98.00896340757750435030475255508572090570
5Egor Afanasyev (R)X100.00724592747954404730405455508270090550
6Nicholas Abruzzese (R)X100.00504595795550404930485055508370090540
7Jonathan Gruden (R)X100.00504595795250404530405070508269090540
8Matthew Knies (R)X100.00504592747566404730445055508070090540
9Victor Soderstrom (R)X98.00584573855167405730655066678272090620
10Jacob Bernard-Docker (R)X100.00724880775667404730445071508272090610
11Henry Thrun (R)X100.00504595786083404930485065508276090610
12Drew Helleson (R)X100.00504592776257404830405662508270090580
13Lucas Johansen (R)X100.00504595795353404530405062508573090570
14Dennis Cholowski (R)X100.00504595747053404530405055508573090570
15Mattias Norlinder (R)X100.00504595785350404530405055508370090560
Rayé
1Rasmus Kupari (R)X100.00734590797051805485555472668370090650
2Samuel Walker (R)X100.00504595795253404930445456508371090540
3Josiah Slavin (R)X100.00504595776750404530405055508572090530
4Sampo Ranta (R)X100.00574590766750404530405055508269090530
5Hugh McGing (R)X100.00504595794650404530405059508471090530
6Arttu Ruotsalainen (R)X100.00504595775450404530405055508673090520
7Brayden Tracey (R)X100.00504595795550404530405055508269090520
8Tyler Tucker (R)X100.00905462786561405230495562668372090620
MOYENNE D'ÉQUIPE99.5758468878615646493445536054837109057
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 Merzlikins99.0070648083707270727070708881090640
2Samuel Ersson (R)100.0073507181767073707670708372090630
Rayé
1Daniil Tarasov (R)100.0070527588707070707070708373090630
2Yaroslav Askarov (R)100.0070506882707070707070708067090610
MOYENNE D'ÉQUIPE99.757154748472717171727070847309063
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
1Victor SoderstromFarmers (REG)D1942024911535236835375.88%2345523.973361351000242000.00%0721001.0500100121
2Axel Jonsson-FjallbyFarmers (REG)LW191112230140253375245314.67%834718.2833610330000100150.00%221613001.3212000101
3Rasmus KupariFarmers (REG)C179918000183360223715.00%526615.70224490001162168.26%2931316001.3512000212
4Simon HolmstromFarmers (REG)RW1910818520221862225016.13%937519.781231044202292227.27%221812000.9600000222
5Alex NewhookFarmers (REG)C147714-200201562183211.29%626919.222137240001212069.40%1831111001.0402000111
6Givani SmithFarmers (REG)LW21751224410421738102318.42%1031715.12101215000080152.38%211010000.7600011021
7Egor AfanasyevFarmers (REG)LW215611-560242226142319.23%1333716.0900004000040053.33%30149000.6500000010
8Dakota JoshuaRegina PatsC855107275211439102312.82%217221.591016190112150047.98%173175001.1611100101
9Nicholas AbruzzeseFarmers (REG)RW214610-30013103592811.43%1633916.15112532000000041.67%121010000.5900000000
10Henry ThrunFarmers (REG)D1918960010172511104.00%2338320.21000538011139000.00%11013000.4700000000
11Jacob Bernard-DockerFarmers (REG)D19077-68019162610110.00%1535718.81000330000031000.00%0221000.3900000000
12Tyler TuckerFarmers (REG)D120551120281114570.00%925120.96011228000019000.00%036000.4000000001
13Lucas JohansenFarmers (REG)D16123-42051386412.50%923014.390000000018000.00%028000.2600000000
14Jonathan GrudenFarmers (REG)C12123-1001112206155.00%615613.0200016000020040.54%7427000.3800000000
15Teddy BluegerRegina PatsLW31231408313397.69%46822.9800026000150073.91%2301000.8700000000
16Drew HellesonFarmers (REG)D18022-840121611680.00%929516.41000118000013000.00%0111000.1400000000
17Mattias NorlinderFarmers (REG)D211012003661116.67%21537.29000060000300100.00%212000.1300000000
18Matthew KniesFarmers (REG)LW7011-720738260.00%29113.1000001000000025.00%434000.2200000000
19Dennis CholowskiFarmers (REG)D210110003115500.00%626912.84000030000700100.00%139000.0700000000
Stats d'équipe Total ou en Moyenne30767108175-31362032629360121937711.15%177513916.7414132771375224112586559.23%861143189000.68372118910
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)2191020.8663.8212582080596303300.5569210000
2Samuel ErssonFarmers (REG)10001.0000.001700063000.0000021000
Stats d'équipe Total ou en Moyenne2291020.8673.7712752080602306300.55692121000


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
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
Henry ThrunFarmers (REG)D222001-03-12Yes190 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm850,000$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
Rasmus KupariFarmers (REG)C232000-03-15Yes200 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm700,000$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
Tyler TuckerFarmers (REG)D232000-03-01Yes204 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm775,000$0$0$No
Victor SoderstromFarmers (REG)D222001-02-26Yes184 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm800,000$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
2723.37190 Lbs6 ft13.00926,852$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Axel Jonsson-FjallbySimon Holmstrom35122
2Givani SmithAlex NewhookNicholas Abruzzese30122
3Egor AfanasyevJonathan GrudenMatthew Knies25122
4Matthew KniesAlex Newhook10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Victor SoderstromHenry Thrun35122
2Jacob Bernard-DockerDrew Helleson30122
3Dennis CholowskiLucas Johansen25122
4Mattias NorlinderVictor Soderstrom10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Axel Jonsson-FjallbySimon Holmstrom55122
2Givani SmithAlex NewhookNicholas Abruzzese45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Victor SoderstromHenry Thrun55122
2Jacob Bernard-DockerDrew Helleson45122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Alex Newhook55122
2Axel Jonsson-FjallbySimon Holmstrom45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Victor SoderstromHenry Thrun55122
2Jacob Bernard-DockerDrew Helleson45122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155122Victor SoderstromHenry Thrun55122
2Alex Newhook45122Jacob Bernard-DockerDrew Helleson45122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Alex Newhook55122
2Axel Jonsson-FjallbySimon Holmstrom45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Victor SoderstromHenry Thrun55122
2Jacob Bernard-DockerDrew Helleson45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Axel Jonsson-FjallbySimon HolmstromVictor SoderstromHenry Thrun
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Axel Jonsson-FjallbySimon HolmstromVictor SoderstromHenry Thrun
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Egor Afanasyev, Jonathan Gruden, Givani SmithEgor Afanasyev, Jonathan GrudenGivani Smith
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Dennis Cholowski, Lucas Johansen, Mattias NorlinderDennis CholowskiLucas Johansen, Mattias Norlinder
Tirs de Pénalité
, Alex Newhook, Axel Jonsson-Fjallby, Simon Holmstrom, Givani Smith
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
1Grizzlies2010100045-1100010003211010000013-220.500459001535345571602702511346176403266.67%3166.67%025041460.39%20139850.50%22035362.32%452268449180376188
2Husky11000000532000000000001100000053221.000571200153534532160270251132556234125.00%3166.67%025041460.39%20139850.50%22035362.32%452268449180376188
3Marlies210010001156100010005411100000061541.0001119300015353457516027025113591817363133.33%6183.33%025041460.39%20139850.50%22035362.32%452268449180376188
4Marmots2000000268-21000000123-11000000145-120.500610160015353457316027025113622416477228.57%8187.50%025041460.39%20139850.50%22035362.32%452268449180376188
5Outlaws20200000911-21010000056-11010000045-100.0009142300153534560160270251137121142110440.00%7271.43%025041460.39%20139850.50%22035362.32%452268449180376188
6Predateurs1010000034-11010000034-10000000000000.00034700153534541160270251134118220400.00%10100.00%025041460.39%20139850.50%22035362.32%452268449180376188
7Raptors11000000422110000004220000000000021.00047110015353453016027025113155628200.00%3166.67%125041460.39%20139850.50%22035362.32%452268449180376188
8Rockets2020000059-41010000045-11010000014-300.00057120015353456716027025113721884710220.00%40100.00%025041460.39%20139850.50%22035362.32%452268449180376188
9Scorpions11000000936000000000001100000093621.00091625001535345451602702511325821262150.00%3166.67%025041460.39%20139850.50%22035362.32%452268449180376188
10Smirnoff Ice1010000035-2000000000001010000035-200.00036900153534521160270251132712852150.00%4250.00%025041460.39%20139850.50%22035362.32%452268449180376188
11Supreme11000000633000000000001100000063321.00061016001535345311602702511331849100.00%20100.00%025041460.39%20139850.50%22035362.32%452268449180376188
12TigersCats10000010871100000108710000000000021.00081018001535345321602702511340173528200.00%5180.00%125041460.39%20139850.50%22035362.32%452268449180376188
Total2161002012878251125020114646010450000141365200.4768714323000153534568516027025113602211173406631726.98%591279.66%225041460.39%20139850.50%22035362.32%452268449180376188
14Twins11000000844110000008440000000000021.00081624001535345431602702511314714247342.86%2150.00%025041460.39%20139850.50%22035362.32%452268449180376188
15Warriors30300000613-72020000049-51010000024-200.00061218001535345781602702511374331652600.00%80100.00%025041460.39%20139850.50%22035362.32%452268449180376188
_Since Last GM Reset2161002012878251125020114646010450000141365200.4768714323000153534568516027025113602211173406631726.98%591279.66%225041460.39%20139850.50%22035362.32%452268449180376188
_Vs Conference1427020124855-7703020112630-4724000012225-3120.42948761240015353454351602702511340514411227837924.32%41782.93%125041460.39%20139850.50%22035362.32%452268449180376188
_Vs Division1317020124352-9703020112630-4614000011722-5100.38543691120015353454031602702511338013910625533824.24%38684.21%125041460.39%20139850.50%22035362.32%452268449180376188

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
2120L18714323068560221117340600
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
2161020128782
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
112520114646
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
104500014136
Derniers 10 Matchs
WLOTWOTL SOWSOL
541000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
631726.98%591279.66%2
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
160270251131535345
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
25041460.39%20139850.50%22035362.32%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
452268449180376188


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 - 2024-04-0714Warriors4Farmers3LSommaire du Match
3 - 2024-04-0831Farmers3Smirnoff Ice5LSommaire du Match
5 - 2024-04-1046Farmers2Warriors4LSommaire du Match
6 - 2024-04-1157Farmers9Scorpions3WSommaire du Match
7 - 2024-04-1262Grizzlies2Farmers3WXSommaire du Match
9 - 2024-04-1485Marmots3Farmers2LXXSommaire du Match
10 - 2024-04-15100Farmers1Rockets4LSommaire du Match
12 - 2024-04-17117Rockets5Farmers4LSommaire du Match
13 - 2024-04-18138TigersCats7Farmers8WXXSommaire du Match
14 - 2024-04-19146Farmers1Grizzlies3LSommaire du Match
16 - 2024-04-21164Farmers4Marmots5LXXSommaire du Match
17 - 2024-04-22178Twins4Farmers8WSommaire du Match
19 - 2024-04-24194Farmers6Marlies1WSommaire du Match
20 - 2024-04-25210Marlies4Farmers5WXSommaire du Match
22 - 2024-04-27230Raptors2Farmers4WSommaire du Match
23 - 2024-04-28244Farmers6Supreme3WSommaire du Match
24 - 2024-04-29258Farmers4Outlaws5LSommaire du Match
26 - 2024-05-01272Outlaws6Farmers5LSommaire du Match
27 - 2024-05-02288Predateurs4Farmers3LSommaire du Match
29 - 2024-05-04306Farmers5Husky3WSommaire du Match
30 - 2024-05-05319Warriors5Farmers1LSommaire du Match
32 - 2024-05-07339Farmers-Hunters-
33 - 2024-05-08349Farmers-Snowbirds-
34 - 2024-05-09364Spartans-Farmers-
36 - 2024-05-11382Farmers-Spartans-
37 - 2024-05-12393TigersCats-Farmers-
39 - 2024-05-14411Farmers-Scorpions-
40 - 2024-05-15425Supreme-Farmers-
42 - 2024-05-17442Farmers-Twins-
43 - 2024-05-18456Barracudas-Farmers-
45 - 2024-05-20475Bandits-Farmers-
46 - 2024-05-21491Farmers-Saguenéens-
47 - 2024-05-22505Husky-Farmers-
49 - 2024-05-24520Farmers-Warriors-
50 - 2024-05-25535Farmers-Thugs-
51 - 2024-05-26548Vandals-Farmers-
53 - 2024-05-28567Thugs-Farmers-
54 - 2024-05-29582Farmers-Raptors-
56 - 2024-05-31597Farmers-Vandals-
58 - 2024-06-02612Igloos-Farmers-
59 - 2024-06-03629Scorpions-Farmers-
61 - 2024-06-05642Farmers-Marmots-
62 - 2024-06-06658Farmers-Grizzlies-
63 - 2024-06-07676Bayou-Farmers-
65 - 2024-06-09690Farmers-Chiwawa-
66 - 2024-06-10704Saguenéens-Farmers-
67 - 2024-06-11717Farmers-Xpress-
69 - 2024-06-13737Chiwawa-Farmers-
70 - 2024-06-14753Farmers-Predateurs-
71 - 2024-06-15766Rockets-Farmers-
73 - 2024-06-17785Snowbirds-Farmers-
74 - 2024-06-18801Farmers-Rockets-
75 - 2024-06-19814Vipers-Farmers-
76 - 2024-06-20829Farmers-CoolFm-
78 - 2024-06-22846Smirnoff Ice-Farmers-
79 - 2024-06-23864Farmers-Vipers-
80 - 2024-06-24874Farmers-Marlies-
82 - 2024-06-26889Farmers-Bayou-
83 - 2024-06-27899Goons-Farmers-
85 - 2024-06-29922CoolFm-Farmers-
87 - 2024-07-01940Hunters-Farmers-
89 - 2024-07-03965Marmots-Farmers-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
90 - 2024-07-04971Farmers-Igloos-
91 - 2024-07-05987Farmers-Goons-
93 - 2024-07-071001Marlies-Farmers-
94 - 2024-07-081014Farmers-Wolves-
96 - 2024-07-101034Wolves-Farmers-
98 - 2024-07-121054Farmers-Smirnoff Ice-
99 - 2024-07-131061Twins-Farmers-
101 - 2024-07-151087Xpress-Farmers-
104 - 2024-07-181102Farmers-Bandits-
106 - 2024-07-201122Grizzlies-Farmers-
107 - 2024-07-211134Farmers-Barracudas-
108 - 2024-07-221142Farmers-TigersCats-
110 - 2024-07-241154Farmers-TigersCats-
112 - 2024-07-261176Smirnoff Ice-Farmers-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance21,85911,000
Assistance PCT99.36%100.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
27 2987 - 99.57% 101,462$1,116,078$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
815,882$ 2,502,500$ 2,502,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 680,663$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
2,739,464$ 83 26,571$ 2,205,393$




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
472161002012878251125020114646010450000141365208714323000153534568516027025113602211173406631726.98%591279.66%225041460.39%20139850.50%22035362.32%452268449180376188
Total Saison Régulière1857867010109116876464193373208655354322329241350244633332492156871172185949152245271305412145118922028112517817271764273555513023.42%57314974.00%131784351950.70%1764354849.72%1554300451.73%451630903942143127671364
Séries
451156000003733463300000211745230000016160103768105018141502936495134028179121144391128.21%38489.47%110321448.13%10420949.76%9218749.20%2101313068314269
Total Séries1156000003733463300000211745230000016160103768105018141502936495134028179121144391128.21%38489.47%110321448.13%10420949.76%9218749.20%2101313068314269