beholdershellpepitosKingspatriots

 

 


Jardiniers

GP: 38 | W: 22 | L: 13 | OTL: 3 | P: 47
GF: 197 | GA: 125 | PP%: 18.90% | PK%: 80.89%
DG: Karl Wasilkowski | Morale : 50 | Moyenne d'Équipe : 75
Prochain matchs #387 vs Casse-Tete
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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
1Riley Sheahan0X100.00513478447768827482848070715341050830
2Kevin Labanc0X100.00403563313566917838868267764841050810
3Jared McCann0XX100.00494061265760797271848271764337055800
4Zack Kassian0X100.00845747448255687139827962715662050800
5Joel Eriksson Ek0X100.00822864436257897070818270634337050800
6Jake Virtanen0X100.00854055408054836939808467734438050790
7Brett Ritchie0X100.00864064368053716932798666625145050790
8Tomas Nosek0X100.00583467427551816659808069625243050780
9Tomas Jurco0X100.00613462415155706836798465695647050770
10Mikhail Grigorenko0X100.00383383447265856258767960615248050770
11Lawson Crouse0X100.00865152508353816336788154624041050760
12Matthew Highmore (R)0XX100.00502883593356745934708061644237050700
13Hudson Fasching0X100.00803364566745715730707261634237050690
14Kyle Rau0X100.00723476603044765933717660634442050690
15Danny O'Regan (R)0X100.00362883543545776071757056684135050680
16Teemu Pulkkinen0XX100.00341860643842795831677547625855050660
17Nick Sorensen0X100.00373364663849785631687255654135050660
18Quinton Howden0X100.00642082705338835631677152625145050660
19Nikita Zadorov0X100.00874052468970748324827381604542050850
20Connor Carrick0X100.00564161454756808327817262614845050790
21Ian McCoshen0X100.00814058507854827930767059634034050770
22David Warsofsky0X100.00313271533147757530757072645145050740
23Marcus Pettersson (R)0X100.00492767524349777530757060644135050730
24Roland McKeown (R)0X100.00604044585449767130736760644446050720
Rayé
1Alexandre Grenier0X100.00523665667227745631676952654941050640
2Spencer Abbott0X100.00372390653238745631677051645244050640
MOYENNE D'ÉQUIPE100.0059356650575278674176766265474205074
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
1Alex Lyon (R)100.0082916679838389858765724069050830
2Jon Gillies100.0081916884838489858764703862050830
3Adin Hill100.0080886781818187848567752441050800
Rayé
MOYENNE D'ÉQUIPE100.008190678182838885866572345705082
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'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
1Riley SheahanJardiniers (WPT)C38273966368032821725410715.70%2789123.47371025100314152442065.18%9623223021.4804000421
2Joel Eriksson EkJardiniers (WPT)C38243660222209257147549016.33%2166617.54661225970113642055.99%509267011.8013000540
3Kevin LabancJardiniers (WPT)RW38233154302802242139468516.55%2387423.014262610004482282136.21%582918021.2434000213
4Jake VirtanenJardiniers (WPT)RW38221941324405825102306521.57%1141110.8300010000001243.75%16214021.9900000214
5Matthew HighmoreJardiniers (WPT)C/LW381823413660141785306521.18%651013.430331137000101144.83%29331031.6100000320
6Zack KassianJardiniers (WPT)RW381323361584209635104487212.50%1360015.7914511602025711145.65%46186011.2014202002
7Nikita ZadorovJardiniers (WPT)D3842731306210110938138304.94%9396425.37347191131127190100.00%01144000.6400002111
8Mikhail GrigorenkoJardiniers (WPT)C38101727392052271143414.08%441310.8700000000001059.15%32894011.3100000111
9Tomas NosekJardiniers (WPT)LW389172613200253565194813.85%752213.760889920001141052.94%17109010.9900000000
10Jared McCannJardiniers (WPT)C/LW2710152523240232356224617.86%1939114.502247690000121052.63%1966011.2812000010
11David WarsofskyJardiniers (WPT)D3832023381004524015277.50%4969618.340222600112104100.00%0327000.6611000011
12Kyle RauJardiniers (WPT)C386111722038227119428.45%33499.2000000000000034.12%211195000.9700000001
13Connor CarrickJardiniers (WPT)D38314172435532404516186.67%3392924.462358103011418800100.00%1513000.3700001000
14Brett RitchieJardiniers (WPT)RW3874112160472659184211.86%42737.2000013000003056.25%16116000.8000000110
15Teemu PulkkinenJardiniers (WPT)LW/RW27279-220047339146.06%22398.8700000000001044.44%9160000.7500000000
16Ian McCoshenJardiniers (WPT)D382572740092402313108.70%3878720.721124870001132000.00%1219000.1800000000
17Marcus PetterssonJardiniers (WPT)D38066291201517271330.00%2651813.6400000000226000.00%0110000.2301000000
18Roland McKeownJardiniers (WPT)D381561145528211712105.88%1642611.2200000000036100.00%017000.2800001000
19Jakub VranaWarpathLW31231004313587.69%37123.89101515000041020.00%541000.8401000001
20Tomas JurcoJardiniers (WPT)RW38011-100121130.00%0310.8300013000000050.00%400000.6300000000
21Hudson FaschingJardiniers (WPT)RW27000-100364100.00%0451.70000000001330045.45%2221000.0000000000
22Lawson CrouseJardiniers (WPT)RW38000000534100.00%2431.14000210001270030.00%1020000.0000000000
Stats d'équipe Total ou en Moyenne76818532250740648040750670135947881913.61%4001066013.88234265157949691551138120556.96%22632612110140.95720206191515
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
1Alex LyonJardiniers (WPT)32191020.9082.97187822931006546110.76517317251
2Jon GilliesJardiniers (WPT)83310.8794.174320030247122000.0000731000
Stats d'équipe Total ou en Moyenne40221330.9023.192311221231253668110.765173838251


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
Adin HillJardiniers (WPT)G221996-05-11No202 Lbs198 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Alex LyonJardiniers (WPT)G251992-12-09Yes201 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
Alexandre GrenierJardiniers (WPT)RW271991-09-05No200 Lbs196 CMNoNoNo2Avec RestrictionPro & Farm725,000$0$0$NoLien
Brett RitchieJardiniers (WPT)RW251993-07-01No217 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm875,000$0$0$NoLien / Lien NHL
Connor CarrickJardiniers (WPT)D241994-04-13No192 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm750,000$0$0$NoLien / Lien NHL
Danny O'ReganJardiniers (WPT)C241994-01-30Yes185 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm925,000$0$0$NoLien
David WarsofskyJardiniers (WPT)D281990-05-30No170 Lbs175 CMNoNoNo2Avec RestrictionPro & Farm675,000$0$0$NoLien / Lien NHL
Hudson FaschingJardiniers (WPT)RW231995-07-28No204 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm1,350,000$0$0$NoLien / Lien NHL
Ian McCoshenJardiniers (WPT)D231995-08-05No217 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm1,025,000$0$0$NoLien / Lien NHL
Jake VirtanenJardiniers (WPT)RW221996-08-17No229 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm1,775,000$0$0$NoLien / Lien NHL
Jared McCannJardiniers (WPT)C/LW221996-05-31No198 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm1,137,500$0$0$NoLien / Lien NHL
Joel Eriksson EkJardiniers (WPT)C211997-01-29No206 Lbs185 CMNoNoNo1Contrat d'EntréePro & Farm1,106,667$0$0$NoLien / Lien NHL
Jon GilliesJardiniers (WPT)G241994-01-22No223 Lbs198 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Kevin LabancJardiniers (WPT)RW221995-12-12No185 Lbs180 CMNoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Kyle RauJardiniers (WPT)C251992-10-24No176 Lbs173 CMNoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien
Lawson CrouseJardiniers (WPT)RW211997-06-23No220 Lbs193 CMNoNoNo1Contrat d'EntréePro & Farm1,602,500$0$0$NoLien / Lien NHL
Marcus PetterssonJardiniers (WPT)D221996-05-08Yes180 Lbs193 CMNoNoNo2Contrat d'EntréePro & Farm894,167$0$0$NoLien
Matthew HighmoreJardiniers (WPT)C/LW221996-02-27Yes181 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Mikhail GrigorenkoJardiniers (WPT)C241994-05-16No209 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm1,430,000$0$0$NoLien / Lien NHL
Nick SorensenJardiniers (WPT)RW231994-10-23No182 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien
Nikita ZadorovJardiniers (WPT)D231995-04-16No230 Lbs196 CMNoNoNo1Avec RestrictionPro & Farm2,150,000$0$0$NoLien / Lien NHL
Quinton HowdenJardiniers (WPT)C261992-01-21No189 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm936,100$0$0$NoLien / Lien NHL
Riley SheahanJardiniers (WPT)C261991-12-07No214 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm2,075,000$0$0$NoLien / Lien NHL
Roland McKeownJardiniers (WPT)D221996-01-20Yes195 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm894,167$0$0$NoLien
Spencer AbbottJardiniers (WPT)LW301988-04-30No170 Lbs175 CMNoNoNo1Sans RestrictionPro & Farm575,000$0$0$NoLien
Teemu PulkkinenJardiniers (WPT)LW/RW261992-01-02No185 Lbs178 CMNoNoNo2Avec RestrictionPro & Farm700,000$0$0$NoLien / Lien NHL
Tomas JurcoJardiniers (WPT)RW251992-12-28No188 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm900,000$0$0$NoLien / Lien NHL
Tomas NosekJardiniers (WPT)LW261992-09-01No210 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Zack KassianJardiniers (WPT)RW271991-01-24No209 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm1,500,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2924.14199 Lbs185 CM1.551,065,555$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Matthew HighmoreRiley SheahanKevin Labanc40122
2Tomas NosekJoel Eriksson EkZack Kassian30122
3Jared McCannMikhail GrigorenkoJake Virtanen20122
4Teemu PulkkinenKyle RauBrett Ritchie10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita ZadorovConnor Carrick40122
2Ian McCoshenDavid Warsofsky30122
3Marcus PetterssonRoland McKeown20122
4Nikita ZadorovConnor Carrick10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jared McCannRiley SheahanKevin Labanc60122
2Tomas NosekJoel Eriksson EkZack Kassian40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita ZadorovConnor Carrick60122
2Ian McCoshenDavid Warsofsky40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Riley SheahanKevin Labanc60122
2Zack KassianJoel Eriksson Ek40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita ZadorovConnor Carrick60122
2Ian McCoshenDavid Warsofsky40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Riley Sheahan60122Nikita ZadorovConnor Carrick60122
2Kevin Labanc40122Ian McCoshenDavid Warsofsky40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Riley SheahanKevin Labanc60122
2Zack KassianJoel Eriksson Ek40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita ZadorovConnor Carrick60122
2Ian McCoshenDavid Warsofsky40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jared McCannRiley SheahanKevin LabancNikita ZadorovConnor Carrick
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jared McCannRiley SheahanKevin LabancNikita ZadorovConnor Carrick
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tomas Jurco, Lawson Crouse, Hudson FaschingTomas Jurco, Lawson CrouseHudson Fasching
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Marcus Pettersson, Roland McKeown, Ian McCoshenMarcus PetterssonRoland McKeown, Ian McCoshen
Tirs de Pénalité
Riley Sheahan, Kevin Labanc, Zack Kassian, Joel Eriksson Ek, Jared McCann
Gardien
#1 : Alex Lyon, #2 : Jon Gillies, #3 : Adin Hill


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
1Barbarians321000001316-31100000054121100000812-440.66713243700767640811349250538538105365172300.00%18666.67%045381555.58%49488955.57%34957360.91%906581816319588294
2Benchwarmers3210000010100110000004312110000067-140.667101828007676408110492505385389834386412216.67%20670.00%145381555.58%49488955.57%34957360.91%906581816319588294
3Caribou11000000312110000003120000000000021.000369007676408394925053853830919302150.00%80100.00%045381555.58%49488955.57%34957360.91%906581816319588294
4Casse-Tete1010000013-21010000013-20000000000000.0001230076764084249250538538371010192150.00%50100.00%045381555.58%49488955.57%34957360.91%906581816319588294
5Chevalier2020000035-21010000023-11010000012-100.000369007676408614925053853871272256300.00%11281.82%145381555.58%49488955.57%34957360.91%906581816319588294
6Diabotins20100010440000000000002010001044020.500448007676408984925053853855143143400.00%13284.62%045381555.58%49488955.57%34957360.91%906581816319588294
7Evil Saints20200000312-90000000000020200000312-900.0003580076764086649250538538641332414125.00%16475.00%045381555.58%49488955.57%34957360.91%906581816319588294
8Hybrides4210100014122220000008442010100068-260.7501425390076764081324925053853812735567816318.75%23386.96%045381555.58%49488955.57%34957360.91%906581816319588294
9Leftovers4110101015123201000107702100100085360.7501523380176764081334925053853813740485921314.29%18288.89%045381555.58%49488955.57%34957360.91%906581816319588294
10Pirates1100000011381100000011380000000000021.00011213200767640835492505385382566275360.00%3166.67%045381555.58%49488955.57%34957360.91%906581816319588294
11Remparts220000007727500000000000220000007727541.00077133210017676408944925053853838162027200.00%10280.00%245381555.58%49488955.57%34957360.91%906581816319588294
12Requins422000001616032100000141221010000024-240.5001631471076764081284925053853814741677215426.67%31777.42%045381555.58%49488955.57%34957360.91%906581816319588294
13Royaux21000100990210001009900000000000030.7509152400767640866492505385387626284012325.00%14378.57%145381555.58%49488955.57%34957360.91%906581816319588294
14St Johns32000010844220000005231000001032161.00081220007676408130492505385381025026467114.29%13192.31%145381555.58%49488955.57%34957360.91%906581816319588294
Total381713022311971257219124001117557181959021201226854470.61819734354012767640814034925053853812544165037601272418.90%2254380.89%645381555.58%49488955.57%34957360.91%906581816319588294
16Werewolves21000100770110000004311000010034-130.7507121900767640878492505385387337254310220.00%10190.00%045381555.58%49488955.57%34957360.91%906581816319588294
17Zombie2010000139-61000000123-11010000016-510.250369007676408784925053853869222443900.00%12375.00%045381555.58%49488955.57%34957360.91%906581816319588294
_Since Last GM Reset381713022311971257219124001117557181959021201226854470.61819734354012767640814034925053853812544165037601272418.90%2254380.89%645381555.58%49488955.57%34957360.91%906581816319588294
_Vs Conference19105010301415190962000104127141043010201002476280.73714124238312767640872849250538538602201236338661319.70%1082180.56%445381555.58%49488955.57%34957360.91%906581816319588294
_Vs Division854000103127464100000282172130001036-3120.750316091107676408266492505385382808410517425832.00%501080.00%145381555.58%49488955.57%34957360.91%906581816319588294

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3847W21973435401403125441650376012
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3817132231197125
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1912401117557
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
1959212012268
Derniers 10 Matchs
WLOTWOTL SOWSOL
450001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1272418.90%2254380.89%6
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
492505385387676408
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
45381555.58%49488955.57%34957360.91%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
906581816319588294


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 - 2018-10-013Jardiniers1Evil Saints6LSommaire du Match
2 - 2018-10-029Jardiniers1Diabotins2LSommaire du Match
4 - 2018-10-0420Benchwarmers3Jardiniers4WSommaire du Match
7 - 2018-10-0732Requins4Jardiniers5WSommaire du Match
10 - 2018-10-1048Jardiniers3Hybrides2WXSommaire du Match
12 - 2018-10-1255Pirates3Jardiniers11WSommaire du Match
13 - 2018-10-1360Jardiniers5Benchwarmers2WSommaire du Match
15 - 2018-10-1573Leftovers4Jardiniers3LSommaire du Match
18 - 2018-10-1885Hybrides3Jardiniers4WSommaire du Match
19 - 2018-10-1995Jardiniers37Remparts0WSommaire du Match
21 - 2018-10-21104Jardiniers6Leftovers5WXSommaire du Match
23 - 2018-10-23111Royaux3Jardiniers4WSommaire du Match
25 - 2018-10-25125Requins3Jardiniers6WSommaire du Match
26 - 2018-10-26135Jardiniers2Evil Saints6LSommaire du Match
28 - 2018-10-28143Jardiniers3Werewolves4LXSommaire du Match
30 - 2018-10-30153Casse-Tete3Jardiniers1LSommaire du Match
32 - 2018-11-01165Werewolves3Jardiniers4WSommaire du Match
33 - 2018-11-02172Jardiniers3Hybrides6LSommaire du Match
35 - 2018-11-04184Jardiniers2Leftovers0WSommaire du Match
39 - 2018-11-08195Royaux6Jardiniers5LXSommaire du Match
41 - 2018-11-10207St Johns1Jardiniers3WSommaire du Match
42 - 2018-11-11216Jardiniers3St Johns2WXXSommaire du Match
45 - 2018-11-14227St Johns1Jardiniers2WSommaire du Match
48 - 2018-11-17241Leftovers3Jardiniers4WXXSommaire du Match
50 - 2018-11-19250Jardiniers3Diabotins2WXXSommaire du Match
51 - 2018-11-20259Jardiniers1Chevalier2LSommaire du Match
53 - 2018-11-22267Hybrides1Jardiniers4WSommaire du Match
54 - 2018-11-23279Jardiniers1Zombie6LSommaire du Match
57 - 2018-11-26287Jardiniers1Benchwarmers5LSommaire du Match
58 - 2018-11-27294Caribou1Jardiniers3WSommaire du Match
61 - 2018-11-30307Requins5Jardiniers3LSommaire du Match
63 - 2018-12-02321Jardiniers2Barbarians8LSommaire du Match
65 - 2018-12-04329Chevalier3Jardiniers2LSommaire du Match
67 - 2018-12-06341Jardiniers6Barbarians4WSommaire du Match
68 - 2018-12-07347Zombie3Jardiniers2LXXSommaire du Match
71 - 2018-12-10358Jardiniers2Requins4LSommaire du Match
72 - 2018-12-11368Jardiniers40Remparts2WSommaire du Match
74 - 2018-12-13373Barbarians4Jardiniers5WSommaire du Match
76 - 2018-12-15387Casse-Tete-Jardiniers-
80 - 2018-12-19403Caribou-Jardiniers-
81 - 2018-12-20408Jardiniers-Giants-
84 - 2018-12-23422Jardiniers-Diabotins-
85 - 2018-12-24429Giants-Jardiniers-
88 - 2018-12-27444Benchwarmers-Jardiniers-
90 - 2018-12-29454Jardiniers-Werewolves-
92 - 2018-12-31464Benchwarmers-Jardiniers-
93 - 2019-01-01474Jardiniers-Barracuda-
95 - 2019-01-03484Jardiniers-Giants-
96 - 2019-01-04490Evil Saints-Jardiniers-
99 - 2019-01-07503Werewolves-Jardiniers-
100 - 2019-01-08512Jardiniers-Benchwarmers-
102 - 2019-01-10524Remparts-Jardiniers-
104 - 2019-01-12536Jardiniers-Zombie-
105 - 2019-01-13544Remparts-Jardiniers-
108 - 2019-01-16554Jardiniers-Barracuda-
109 - 2019-01-17560Jardiniers-St Johns-
110 - 2019-01-18568Zombie-Jardiniers-
112 - 2019-01-20581Jardiniers-Caribou-
114 - 2019-01-22589Chevalier-Jardiniers-
117 - 2019-01-25602Jardiniers-Caribou-
119 - 2019-01-27610Barracuda-Jardiniers-
121 - 2019-01-29625Hooligans-Jardiniers-
123 - 2019-01-31636Jardiniers-Pirates-
124 - 2019-02-01644Hooligans-Jardiniers-
127 - 2019-02-04656Jardiniers-Requins-
128 - 2019-02-05662Jardiniers-Evil Saints-
129 - 2019-02-06669Barbarians-Jardiniers-
133 - 2019-02-10686Giants-Jardiniers-
135 - 2019-02-12697Jardiniers-Chevalier-
136 - 2019-02-13704Diabotins-Jardiniers-
140 - 2019-02-17716Jardiniers-Pirates-
142 - 2019-02-19725Barracuda-Jardiniers-
144 - 2019-02-21737Jardiniers-Royaux-
145 - 2019-02-22743Jardiniers-Casse-Tete-
146 - 2019-02-23750Jardiniers-Hooligans-
148 - 2019-02-25756Pirates-Jardiniers-
151 - 2019-02-28767Diabotins-Jardiniers-
153 - 2019-03-02782Evil Saints-Jardiniers-
154 - 2019-03-03789Jardiniers-Casse-Tete-
157 - 2019-03-06802Pirates-Jardiniers-
160 - 2019-03-09814Jardiniers-Hooligans-
161 - 2019-03-10815Jardiniers-Royaux-



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
22 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,441,142$ 3,090,111$ 1,999,250$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
19,075$ 1,441,142$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 88 19,075$ 1,678,600$




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
2016846111041434931523414231802010200791214230302133293732201224938631356141661541659271190087090663239789293616042817125.27%2773587.36%171067168263.44%1027166961.53%744124959.57%2020134918216561246639
201784373004247326409-8342231201213180212-3242141803034146197-517432655287804133879813255688985277674232488762013813095317.15%2907574.14%8923167855.01%896154857.88%714129954.97%2018132717706771316661
20183817130223119712572191240011175571819590212012268544719734354012767640814034925053853812544165037601272418.90%2254380.89%645381555.58%49488955.57%34957360.91%906581816319588294
Total Saison Régulière20611554010511111016686330103662403334455348107103493007287561338223243101617582774210375317303306670228122272067175597521952059374571714820.64%79215380.68%312443417558.51%2417410658.87%1807312157.90%494532584409165331511595
Séries
201621147000008054261183000004919301064000003135-428801392190134153106702372092240598210245349981818.37%621772.58%126447655.46%21938257.33%14228150.53%491323459172312154
2017136700000373617340000022202633000001516-1123769106011513904521531381481341317511427432825.00%571278.95%019729467.01%18528864.24%11416569.09%3352312859018094
Total Séries34201400000117902718117000007139321697000004651-54011720832502492840011223903473721310113853596231302620.00%1192975.63%146177059.87%40467060.30%25644657.40%827555744262492249