beholdershellpepitosKingspatriots

 

 


Royaux

GP: 11 | W: 5 | L: 6 | OTL: 0 | P: 10
GF: 35 | GA: 39 | PP%: 22.41% | PK%: 71.88%
DG: Eric Plourde | Morale : 50 | Moyenne d'Équipe : 76
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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
13Nicolas Kerdiles0X100.00693375656330295631686952654138050620
14Scott Mayfield0X100.00735148479061768429837369634442050830
15Markus Nutivaara0X100.00462777455055748726837571614436050810
16Xavier Ouellet0X100.00544069484856908231817270615148050800
17MacKenzie Weegar0X100.00814958477453868129797168634342050790
18Petteri Lindbohm0X100.00584754596947766931726654634542050710
19Mitch Reinke0X100.00263094573347806931726554653233050680
20Trevor Carrick0X100.00565056615728756931726553644545050660
Rayé
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
3Pheonix Copley100.0080866580808084848468713363050800
Rayé
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
1Dylan StromeRoyaux (KLA)C114711-8007203492411.76%723721.612469471012300055.86%25633000.9300000111
2Luke KuninRoyaux (KLA)C11641028031164661613.04%617616.033471346000010038.46%9161011.1300000111
3Daniel CarrRoyaux (KLA)LW11369-52020133611358.33%320518.710339371013140027.27%11134000.8700000001
4Logan ShawRoyaux (KLA)RW1118928024183312223.03%623621.520443380113641057.14%14153000.7600000001
5Michael ChaputRoyaux (KLA)C1152761001711376913.51%717015.51000001016671063.27%147111000.8200000100
6Christian FischerRoyaux (KLA)RW11527-78021940112412.50%420318.51325747000001158.82%1744000.6900000000
7Markus NutivaaraRoyaux (KLA)D11257-21006283717135.41%2532229.332131347011160000.00%098000.4300000110
8Henrik BorgstromRoyaux (KLA)C1123510016241128.33%316915.42112838000000130.71%14081000.5900000001
9Scott MayfieldRoyaux (KLA)D11055020034193112180.00%2532529.580221246000044000.00%029000.3100000100
10Nicolas DeslauriersRoyaux (KLA)LW11134180278104910.00%714313.02000000000160050.00%612000.5600000002
11Xavier OuelletRoyaux (KLA)D11134023582820935.00%1926323.98112736000139000.00%039000.3000000000
12Owen TippettRoyaux (KLA)RW110331000412490.00%312411.3000001000000025.00%410000.4800000000
13Ivan BarbashevRoyaux (KLA)C11303020671751117.65%212511.4000000000001016.67%601000.4800000010
14Nick ShoreRoyaux (KLA)C1112346013511459.09%4999.0500000000001066.67%654000.6000000000
15Alan QuineRoyaux (KLA)C11022440123114150.00%2999.02000000000000100.00%420000.4000000000
16MacKenzie WeegarRoyaux (KLA)D11022019526179430.00%2024021.8400002011052000.00%016000.1700010000
17Petteri LindbohmRoyaux (KLA)D1110128015560116.67%215614.2310154000000000.00%000000.1300000000
18Mitch ReinkeRoyaux (KLA)D11000100022100.00%3958.680000000000000.00%002000.0000000000
Stats d'équipe Total ou en Moyenne1983557922136102682194161202298.41%148339617.1513223586430336163935249.57%7028458010.5400010547
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)115420.9103.086822035387220110.0000110211
2Eric ComrieRoyaux (KLA)10000.72711.2516003114000.0000011000
Stats d'équipe Total ou en Moyenne125420.9053.266992038398224110.00001111211


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 CMNoNoNo4Contrat 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 CMNoNoNo5Avec 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 CMNoNoNo6Avec 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 CM2.04997,246$



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 LindbohmScott Mayfield20122
4Markus NutivaaraMitch Reinke10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Luke KuninDylan StromeChristian Fischer60122
2Daniel CarrHenrik BorgstromLogan Shaw40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Scott MayfieldMarkus Nutivaara60122
2Petteri LindbohmXavier Ouellet40122
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 OuelletPetteri Lindbohm40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Daniel CarrDylan StromeLogan ShawScott MayfieldMarkus Nutivaara
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Nicolas DeslauriersIvan BarbashevLogan ShawMarkus NutivaaraScott Mayfield
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
1Hybrides64200000211653210000012933210000097280.667213556102067223115112612910194625314724520.83%24675.00%214329348.81%13826152.87%6714845.27%25815526010118189
Total1156000003539-45230000019181633000001621-5100.455355792102067241615112612910399148138268581322.41%641871.88%314329348.81%13826152.87%6714845.27%25815526010118189
3Werewolves514000001423-92020000079-231200000714-720.200142236002067218515112612910205868512134823.53%401270.00%114329348.81%13826152.87%6714845.27%25815526010118189
_Since Last GM Reset1156000003539-45230000019181633000001621-5100.455355792102067241615112612910399148138268581322.41%641871.88%314329348.81%13826152.87%6714845.27%25815526010118189
_Vs Conference1156000003539-45230000019181633000001621-5100.455355792102067241615112612910399148138268581322.41%641871.88%314329348.81%13826152.87%6714845.27%25815526010118189

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1110OTL135579241639914813826810
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
115600003539
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
52300001918
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
63300001621
Derniers 10 Matchs
WLOTWOTL SOWSOL
530200
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
581322.41%641871.88%3
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
1511261291020672
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
14329348.81%13826152.87%6714845.27%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
25815526010118189


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 - 2019-04-033Hybrides5Royaux4LSommaire du Match
2 - 2019-04-0411Hybrides1Royaux4WSommaire du Match
3 - 2019-04-0519Royaux2Hybrides4LSommaire du Match
4 - 2019-04-0627Royaux4Hybrides2WSommaire du Match
5 - 2019-04-0735Hybrides3Royaux4WXSommaire du Match
6 - 2019-04-0843Royaux3Hybrides1WSommaire du Match
8 - 2019-04-1058Royaux2Werewolves9LSommaire du Match
9 - 2019-04-1162Royaux3Werewolves2WXSommaire du Match
10 - 2019-04-1266Werewolves3Royaux2LXSommaire du Match
11 - 2019-04-1370Werewolves6Royaux5LSommaire du Match
12 - 2019-04-1474Royaux2Werewolves3LXSommaire du Match



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
36 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 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
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 3 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
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
201882432404245465289176412710000312401241164116140421422516560864658311296021901581091032211166105197556263393487718143388525.15%4168380.05%241110191957.84%1022176357.97%788130660.34%2023132416996551250644
Total Saison Régulière3341141680116171813343073-173916769770311076881485-79716745910857116461588-94222813342345367921247644138937105173543355033212229659336242396485123926421.31%147347967.48%573775683155.26%3250590155.08%3733677955.07%785750647180267152112609
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
20181156000003539-45230000019181633000001621-510355792102067241615112612910399148138268581322.41%641871.88%314329348.81%13826152.87%6714845.27%25815526010118189
Total Séries47252200000132120122113800000724824261214000006072-125013223736922633725715335204754865214455084779212064421.36%2063881.55%6558104453.45%531101252.47%30459651.01%11347261070402737371