beholdershellpepitosKingspatriots

 

 


Royaux

GP: 37 | W: 21 | L: 13 | OTL: 3 | P: 45
GF: 219 | GA: 133 | PP%: 25.00% | PK%: 79.57%
DG: Eric Plourde | Morale : 50 | Moyenne d'Équipe : 76
Prochain matchs #384 vs Evil Saints
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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
1Christian Fischer0X100.00703476247164847337828466633933050810
2Nicolas Deslauriers0X100.00955152398147786636788268555452050780
3Ivan Barbashev0X100.00713983424056897065818063634542050780
4Nick Shore0X100.00583567415663766482817968614941050780
5Daniel Carr0X100.00533469375253797036838165634640050770
6Dylan Strome0X100.00383367386160786279788074644339050770
7Logan Shaw0X100.00793879487351826363808166665041050770
8Alan Quine0X100.00743473456256676474827761684940050760
9Michael Chaput0X100.00744556547249846176777959625349050760
10Luke Kunin (R)0X100.00824153554760656049738069653646050740
11Owen Tippett (R)0X100.00393187555251805931697857643230050690
12Henrik Borgstrom (R)0X100.00333194604458815841687656653434050690
13Scott Mayfield0X100.00735148479061768429837369634442050830
14Markus Nutivaara0X100.00462777455055748726837571614436050810
15Xavier Ouellet0X100.00544069484856908231817270615148050800
16MacKenzie Weegar0X100.00814958477453868129797168634342050790
17Petteri Lindbohm0X100.00584754596947766931726654634542050710
18Mitch Reinke0X100.00263094573347806931726554653233050680
Rayé
1Nicolas Kerdiles0X100.00693375656330295631686952654138050620
2Trevor Carrick0X100.00565056615728756931726553644545050660
MOYENNE D'ÉQUIPE100.0061396948605276684577766363444105075
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
1Maxime Lagace100.0083917178828685858861723242047810
2Eric Comrie100.0080886676818288848568703957050810
Rayé
1Pheonix Copley100.0080866580808084848468713363050800
MOYENNE D'ÉQUIPE100.008188677881838684866671355404981
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo70707070707070CAN453450,000$


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
1Christian FischerRoyaux (KLA)RW3727416851404616114488123.68%965217.636814201250110171039.68%632110022.0900000214
2Markus NutivaaraRoyaux (KLA)D37165167312001868135475411.85%6799526.91517223814232510198000.00%02821001.3500000023
3Logan ShawRoyaux (KLA)RW3729326133605352133226421.80%2273719.93461026110516182022063.41%413912031.6500000341
4Dylan StromeRoyaux (KLA)C37312859351801261109376328.44%2675520.419716301311232722360.67%80195041.5601000015
5Ivan BarbashevRoyaux (KLA)C3725285325404839122357920.49%1558715.89561126105000002152.76%489265131.8000000114
6Daniel CarrRoyaux (KLA)LW3714304425803849119377011.76%1757915.6612311510110221051.72%291813021.5200000031
7Luke KuninRoyaux (KLA)C381429434148106937116235712.07%1547912.610551044000013049.53%321305011.7900011101
8Henrik BorgstromRoyaux (KLA)C3915213650094997356715.46%2682721.2235814680000631139.92%486547010.8715000201
9Scott MayfieldRoyaux (KLA)D37530353575595748033206.25%5185223.03022131010667141000.00%0924000.8200100002
10Nicolas DeslauriersRoyaux (KLA)LW3717133019360623784224620.24%1137810.22000001123302030.77%13169021.5900000200
11MacKenzie WeegarRoyaux (KLA)D375162118620755541172312.20%5882022.1914581041231140100.00%01018000.5100000000
12Owen TippettRoyaux (KLA)RW376152116404156915468.70%741711.2800004000000035.71%14213001.0101000000
13Michael ChaputRoyaux (KLA)C37712193220465255236012.73%1254714.790000104482191060.76%502216000.6900000000
14Xavier OuelletRoyaux (KLA)D37315181814025546636364.55%4977821.04044221410117112100.00%0523000.4600000100
15Nick ShoreRoyaux (KLA)C3249131620182030101613.33%52798.7500000000001014.29%756000.9300000000
16Alan QuineRoyaux (KLA)C37279-410037222716267.41%93629.7900000000000050.00%1493000.5000000000
17Mitch ReinkeRoyaux (KLA)D28145310011616366.25%838513.750000000000000.00%006000.2600000000
18Petteri LindbohmRoyaux (KLA)D37044323603215241150.00%2152114.100000000004000.00%0118000.1500000000
19Nicolas KerdilesRoyaux (KLA)LW4011-100312220.00%0348.5000000000000033.33%311000.5900000000
20Trevor CarrickRoyaux (KLA)D8011140432020.00%410513.240000000000000.00%004000.1900000000
Stats d'équipe Total ou en Moyenne66722138760843037315695735144147282315.34%4321109716.643466100218113211213256122618553.40%27833231991181.1017111121222
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
1Maxime LagaceRoyaux (KLA)1612310.9112.569610241462245000.00001623310
2Eric ComrieRoyaux (KLA)178810.8734.629752075589304000.00001720010
3Pheonix CopleyRoyaux (KLA)61210.8603.31290001611468000.5002416000
Stats d'équipe Total ou en Moyenne39211330.8873.562227221321165617000.00023759320


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
Alan QuineRoyaux (KLA)C251993-02-25No203 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Christian FischerRoyaux (KLA)RW211997-04-15No214 Lbs188 CMNoNoNo1Contrat d'EntréePro & Farm1,106,667$0$0$NoLien
Daniel CarrRoyaux (KLA)LW261991-11-01No193 Lbs183 CMNoNoNo2Avec RestrictionPro & Farm725,000$0$0$NoLien / Lien NHL
Dylan StromeRoyaux (KLA)C211997-03-07No200 Lbs191 CMNoNoNo1Contrat d'EntréePro & Farm3,369,167$0$0$NoLien
Eric ComrieRoyaux (KLA)G231995-07-06No175 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm902,500$0$0$NoLien
Henrik BorgstromRoyaux (KLA)C211997-08-06Yes185 Lbs191 CMNoNoNo2Contrat d'EntréePro & Farm1,491,666$0$0$NoLien
Ivan BarbashevRoyaux (KLA)C221995-12-14No187 Lbs183 CMNoNoNo1Contrat d'EntréePro & Farm863,333$0$0$NoLien / Lien NHL
Logan ShawRoyaux (KLA)RW251992-10-05No208 Lbs191 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien / Lien NHL
Luke KuninRoyaux (KLA)C201997-12-04Yes193 Lbs183 CMNoNoNo2Contrat d'EntréePro & Farm1,425,000$0$0$NoLien
MacKenzie WeegarRoyaux (KLA)D241994-01-07No212 Lbs183 CMNoNoNo1Avec RestrictionPro & Farm800,000$0$0$NoLien / Lien NHL
Markus NutivaaraRoyaux (KLA)D241994-06-06No191 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Maxime LagaceRoyaux (KLA)G251993-01-12No190 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Michael ChaputRoyaux (KLA)C261992-04-09No204 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm600,000$0$0$NoLien
Mitch ReinkeRoyaux (KLA)D221996-02-04No181 Lbs180 CMNoNoNo2Contrat d'EntréePro & Farm925,000$0$0$NoLien
Nick ShoreRoyaux (KLA)C251992-09-26No195 Lbs185 CMNoNoNo1Avec RestrictionPro & Farm600,000$0$0$NoLien / Lien NHL
Nicolas DeslauriersRoyaux (KLA)LW271991-02-22No215 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm775,000$0$0$NoLien / Lien NHL
Nicolas KerdilesRoyaux (KLA)LW241994-01-11No200 Lbs188 CMNoNoNo1Avec RestrictionPro & Farm925,000$0$0$NoLien / Lien NHL
Owen TippettRoyaux (KLA)RW191999-02-16Yes200 Lbs185 CMNoNoNo2Contrat d'EntréePro & Farm1,658,333$0$0$NoLien
Petteri LindbohmRoyaux (KLA)D251993-09-23No198 Lbs191 CMNoNoNo1Avec RestrictionPro & Farm700,000$0$0$NoLien / Lien NHL
Pheonix CopleyRoyaux (KLA)G261992-01-18No200 Lbs193 CMNoNoNo2Avec RestrictionPro & Farm650,000$0$0$NoLien
Scott MayfieldRoyaux (KLA)D251992-10-14No227 Lbs193 CMNoNoNo1Avec RestrictionPro & Farm625,000$0$0$NoLien / Lien NHL
Trevor CarrickRoyaux (KLA)D241994-07-04No186 Lbs188 CMNoNoNo2Avec RestrictionPro & Farm670,000$0$0$NoLien
Xavier OuelletRoyaux (KLA)D251993-07-29No185 Lbs185 CMNoNoNo2Avec RestrictionPro & Farm1,250,000$0$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2323.70197 Lbs188 CM1.52997,246$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Daniel CarrDylan StromeChristian Fischer40122
2Ivan BarbashevHenrik BorgstromLogan Shaw30122
3Nicolas DeslauriersLuke KuninOwen Tippett20122
4Nick ShoreMichael ChaputAlan Quine10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus NutivaaraScott Mayfield40122
2Xavier OuelletMacKenzie Weegar30122
3Petteri LindbohmMitch Reinke20122
4Markus NutivaaraMacKenzie Weegar10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Luke KuninDylan StromeChristian Fischer60122
2Daniel CarrHenrik BorgstromLogan Shaw40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Xavier OuelletMarkus Nutivaara60122
2Scott MayfieldMacKenzie Weegar40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Michael ChaputLogan Shaw60122
2Michael ChaputNicolas Deslauriers40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus NutivaaraScott Mayfield60122
2Xavier OuelletMacKenzie Weegar40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Michael Chaput60122Markus NutivaaraScott Mayfield60122
2Michael Chaput40122Xavier OuelletMacKenzie Weegar40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Dylan StromeChristian Fischer60122
2Luke KuninLogan Shaw40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus NutivaaraScott Mayfield60122
2Xavier OuelletMacKenzie Weegar40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Daniel CarrDylan StromeLogan ShawScott MayfieldMarkus Nutivaara
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nicolas DeslauriersIvan BarbashevLogan ShawMarkus NutivaaraMacKenzie Weegar
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Logan Shaw, Dylan Strome, Michael ChaputOwen Tippett, Dylan StromeMichael Chaput
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
MacKenzie Weegar, Markus Nutivaara, Scott MayfieldScott MayfieldMacKenzie Weegar, Markus Nutivaara
Tirs de Pénalité
Dylan Strome, Christian Fischer, Luke Kunin, Owen Tippett, Daniel Carr
Gardien
#1 : Maxime Lagace, #2 : Eric Comrie


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
1Barbarians1010000012-11010000012-10000000000000.000112009380442285294684491029121218000.00%60100.00%048786756.17%42078853.30%37060960.76%904590755301568291
2Barracuda2110000045-1000000000002110000045-120.500481200938044280529468449105516184316212.50%8187.50%048786756.17%42078853.30%37060960.76%904590755301568291
3Benchwarmers2010010049-5000000000002010010049-510.25047110093804427052946844910772422361119.09%11372.73%048786756.17%42078853.30%37060960.76%904590755301568291
4Caribou1100000012660000000000011000000126621.000122335009380442515294684491033814188562.50%7185.71%048786756.17%42078853.30%37060960.76%904590755301568291
5Casse-Tete302001001219-720200000915-61000010034-110.1671221330093804421085294684491011040326012541.67%16475.00%148786756.17%42078853.30%37060960.76%904590755301568291
6Chevalier11000000321110000003210000000000021.00035800938044237529468449103651217200.00%6183.33%048786756.17%42078853.30%37060960.76%904590755301568291
7Diabotins421000012210122110000014592100000185350.625224062019380442180529468449109526459617529.41%20575.00%048786756.17%42078853.30%37060960.76%904590755301568291
8Evil Saints1010000025-3000000000001010000025-300.0002350093804423352946844910381510154125.00%50100.00%148786756.17%42078853.30%37060960.76%904590755301568291
9Giants11000000431000000000001100000043121.0004812009380442355294684491041716226116.67%8275.00%048786756.17%42078853.30%37060960.76%904590755301568291
10Hooligans321000001413132100000141310000000000040.6671426400093804421275294684491011247425110220.00%21671.43%248786756.17%42078853.30%37060960.76%904590755301568291
11Hybrides11000000541110000005410000000000021.0005914009380442405294684491029114307228.57%2150.00%048786756.17%42078853.30%37060960.76%904590755301568291
12Jardiniers20101000990000000000002010100099020.5009162500938044276529468449106628244214321.43%12375.00%048786756.17%42078853.30%37060960.76%904590755301568291
13Leftovers2110000089-12110000089-10000000000020.5008162400938044264529468449107124244112325.00%12375.00%048786756.17%42078853.30%37060960.76%904590755301568291
14Pirates330000001165220000008441100000032161.000112031009380442121529468449108234287810220.00%14378.57%048786756.17%42078853.30%37060960.76%904590755301568291
15Remparts220000007827622000000782760000000000041.00078142220009380442108529468449103112184111100.00%90100.00%548786756.17%42078853.30%37060960.76%904590755301568291
16Requins20101000711-40000000000020101000711-420.500712190093804427252946844910692712391000.00%5180.00%048786756.17%42078853.30%37060960.76%904590755301568291
17St Johns22000000954110000005231100000043141.000916250093804427852946844910702912348225.00%60100.00%248786756.17%42078853.30%37060960.76%904590755301568291
Total3719130220121913386191270000015465891876022016568-3450.60821940061902938044214535294684491011654043817531644125.00%1863879.57%1148786756.17%42078853.30%37060960.76%904590755301568291
19Werewolves20200000712-51010000056-11010000026-400.0007142100938044280529468449107420203513430.77%10370.00%048786756.17%42078853.30%37060960.76%904590755301568291
20Zombie22000000716110000004131100000030341.000713200193804426552946844910471916373266.67%8187.50%048786756.17%42078853.30%37060960.76%904590755301568291
_Since Last GM Reset3719130220121913386191270000015465891876022016568-3450.60821940061902938044214535294684491011654043817531644125.00%1863879.57%1148786756.17%42078853.30%37060960.76%904590755301568291
_Vs Conference1467001005356-3734000002730-37330010026260130.464539715001938044252252946844910451146138273652132.31%681282.35%248786756.17%42078853.30%37060960.76%904590755301568291
_Vs Division93100000413834200000019154511000002223-160.333417511600938044235952946844910330123100154411126.83%501080.00%548786756.17%42078853.30%37060960.76%904590755301568291

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3745L12194006191453116540438175302
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3719132201219133
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
19127000015465
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
187622016568
Derniers 10 Matchs
WLOTWOTL SOWSOL
720100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1644125.00%1863879.57%11
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
529468449109380442
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
48786756.17%42078853.30%37060960.76%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
904590755301568291


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 - 2018-10-026Hooligans3Royaux4WSommaire du Match
3 - 2018-10-0311Royaux12Caribou6WSommaire du Match
5 - 2018-10-0523Royaux2Evil Saints5LSommaire du Match
7 - 2018-10-0734Royaux3Casse-Tete4LXSommaire du Match
9 - 2018-10-0940Chevalier2Royaux3WSommaire du Match
12 - 2018-10-1256Hybrides4Royaux5WSommaire du Match
14 - 2018-10-1465Casse-Tete10Royaux5LSommaire du Match
17 - 2018-10-1778Royaux1Benchwarmers5LSommaire du Match
19 - 2018-10-1989Barbarians2Royaux1LSommaire du Match
20 - 2018-10-20101Diabotins3Royaux1LSommaire du Match
23 - 2018-10-23111Royaux3Jardiniers4LSommaire du Match
24 - 2018-10-24123Remparts1Royaux44WSommaire du Match
27 - 2018-10-27136Royaux4Diabotins5LXXSommaire du Match
28 - 2018-10-28141Leftovers6Royaux3LSommaire du Match
30 - 2018-10-30154Royaux4Giants3WSommaire du Match
32 - 2018-11-01163Hooligans4Royaux1LSommaire du Match
33 - 2018-11-02173Royaux2Werewolves6LSommaire du Match
35 - 2018-11-04183Werewolves6Royaux5LSommaire du Match
39 - 2018-11-08195Royaux6Jardiniers5WXSommaire du Match
40 - 2018-11-09204Hooligans6Royaux9WSommaire du Match
43 - 2018-11-12219Royaux3Zombie0WSommaire du Match
45 - 2018-11-14225Pirates2Royaux4WSommaire du Match
47 - 2018-11-16235Royaux4St Johns3WSommaire du Match
49 - 2018-11-18245St Johns2Royaux5WSommaire du Match
51 - 2018-11-20254Royaux3Pirates2WSommaire du Match
52 - 2018-11-21263Casse-Tete5Royaux4LSommaire du Match
54 - 2018-11-23274Royaux2Barracuda1WSommaire du Match
56 - 2018-11-25284Diabotins2Royaux13WSommaire du Match
59 - 2018-11-28301Remparts1Royaux34WSommaire du Match
61 - 2018-11-30308Royaux3Benchwarmers4LXSommaire du Match
63 - 2018-12-02317Royaux2Requins7LSommaire du Match
64 - 2018-12-03326Pirates2Royaux4WSommaire du Match
67 - 2018-12-06336Royaux5Requins4WXSommaire du Match
68 - 2018-12-07345Royaux4Diabotins0WSommaire du Match
69 - 2018-12-08350Leftovers3Royaux5WSommaire du Match
72 - 2018-12-11365Zombie1Royaux4WSommaire du Match
74 - 2018-12-13379Royaux2Barracuda4LSommaire du Match
75 - 2018-12-14384Royaux-Evil Saints-
77 - 2018-12-16390Zombie-Royaux-
80 - 2018-12-19404Royaux-Evil Saints-
81 - 2018-12-20409Werewolves-Royaux-
84 - 2018-12-23425Royaux-Caribou-
85 - 2018-12-24430Requins-Royaux-
88 - 2018-12-27443Royaux-Caribou-
89 - 2018-12-28449Requins-Royaux-
92 - 2018-12-31465Barracuda-Royaux-
93 - 2019-01-01475Royaux-Werewolves-
95 - 2019-01-03483Royaux-St Johns-
96 - 2019-01-04491Hybrides-Royaux-
99 - 2019-01-07504Benchwarmers-Royaux-
100 - 2019-01-08513Royaux-Remparts-
102 - 2019-01-10525St Johns-Royaux-
104 - 2019-01-12535Royaux-Pirates-
106 - 2019-01-14546Hybrides-Royaux-
108 - 2019-01-16558Royaux-Remparts-
110 - 2019-01-18565Barracuda-Royaux-
112 - 2019-01-20578Royaux-Chevalier-
113 - 2019-01-21583Royaux-Barbarians-
114 - 2019-01-22590Barbarians-Royaux-
117 - 2019-01-25604Benchwarmers-Royaux-
119 - 2019-01-27614Royaux-Zombie-
120 - 2019-01-28621Royaux-Leftovers-
122 - 2019-01-30629Chevalier-Royaux-
124 - 2019-02-01642Royaux-Leftovers-
125 - 2019-02-02649Chevalier-Royaux-
128 - 2019-02-05661Royaux-Barbarians-
130 - 2019-02-07670Caribou-Royaux-
131 - 2019-02-08678Royaux-Chevalier-
134 - 2019-02-11690Giants-Royaux-
136 - 2019-02-13702Royaux-Giants-
137 - 2019-02-14707Royaux-Casse-Tete-
139 - 2019-02-16715Caribou-Royaux-
141 - 2019-02-18723Royaux-Casse-Tete-
142 - 2019-02-19728Royaux-Hooligans-
144 - 2019-02-21737Jardiniers-Royaux-
147 - 2019-02-24753Evil Saints-Royaux-
151 - 2019-02-28769Evil Saints-Royaux-
152 - 2019-03-01773Royaux-Hybrides-
155 - 2019-03-04790Giants-Royaux-
157 - 2019-03-06798Royaux-Hooligans-
159 - 2019-03-08807Royaux-Hybrides-
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
1,010,309$ 2,293,667$ 2,084,751$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
14,158$ 1,010,309$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 88 14,158$ 1,245,904$




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
201684280010013142066-17524204101000149998-84942239000011651068-9034314560874001071041021249283185879982120772202215863286921.04%41227932.28%81071168463.60%52784662.29%1796302759.33%2002129416996261346666
201784402501396310340-304226900142180172842141601254130168-388031053684616981049813260484988783192231077067315172885418.75%3214885.05%14940168055.95%966163659.05%650124252.33%2021132417996911300648
201784293905146245378-13342161702034119191-7242132203112126187-61582454186631481758013220069775471666259688666715682855619.65%3246978.70%11654154842.25%735165644.38%499120441.45%1809112019826971313650
20183719130220121913386191270000015465891876022016568-34521940061902938044214535294684491011654043817531644125.00%1863879.57%1148786756.17%42078853.30%37060960.76%904590755301568291
Total Saison Régulière28990157096131410882917-18291455474031766021426-8241443683065684861491-10051871088191430022123793633242987492906296727951768191283237435424106522020.66%124343465.08%443152577954.54%2648492653.76%3315608254.51%673843306236231645292256
Séries
2016161150000055352076100000321220954000002323022551021570221211125561691891899431144165310601931.67%55983.64%119935755.74%16330653.27%11121052.86%410278331124233120
2017158700000292817430000013112844000001617-11629558410156534181571161133242716412025765710.77%60886.67%116229554.92%18131657.28%10417858.43%358224349136252126
2017514000001318-52110000087130300000511-62132336007420143434455118852548623521.74%27388.89%1549954.55%4912937.98%226036.67%10768128407034
Total Séries36201600000978116161150000053302320911000004451-7409718027712433118511173693493574210463603396531483120.95%1422085.92%341575155.26%39375152.33%23744852.90%876571810300556281