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OTHL - Marlies 

Marlies
GP: 16 | W: 13 | L: 3 | OTL: 0 | P: 26
GF: 100 | GA: 19 | PP%: 17.54% | PK%: 88.89%
DG: Garrett | Morale : 50 | Moyenne d'Équipe : 58
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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 SPÂgeContratSalaire
1Andrew LaddXX100.007873907673555659504462755985896450630352750,000$
2Barrett Hayton (R)XX100.0076449982715963767057665275474865506302122,644,167$
3Adam MascherinX100.007772886172626166506069666644446850620232880,000$
4Gabriel BourqueXX100.008946957572527157355856664169716350620312850,000$
5Martin KautX100.0070677773676060645062616258454563506102221,319,167$
6Andy AndreoffXX100.007674817074555560753874697063646650610302750,000$
7Tyler GaudetXX100.007877806077687062785664666145456550610282750,000$
8Jack Studnicka (R)X100.006341997365637155616057662546476150600223863,333$
9Justin DowlingXXX100.006742927065585768586256582555565950600312750,000$
10Steven LorentzX100.007544936178568158776156552548486350590251750,000$
11Liam O'BrienX100.008846286777466455257055672546465950590272750,000$
12Bowen Byram (R)X100.0082446783717261632549476025454557506202033,394,167$
13Keaton MiddletonX100.008988916188575949254439683744445450600232750,000$
14Oleg Sosunov (R)X100.009091896491586342252841673944445250590232750,000$
15Jeremy Davies (R)X100.0069428568666667652545476125454556505902421,325,000$
16Joseph CecconiX100.0078797761796671472537416239444453505802421,293,750$
17Brinson Pasichnuk (R)X100.0079749168745963482540406338444453505802311,775,000$
Rayé
1Simon Holmstrom (R)X100.008074946474586053504656645344445950570203863,333$
2Spencer SmallmanX100.007773856273575950505046624444445450550251758,333$
3Jonathan Davidsson (R)X100.007567947067323044503844604244445050500242850,000$
4Stepan Falkovsky (R)X100.008587816687474845253441653944445250570242750,000$
5Sean DayX100.007680655380616453255042624044445350570232750,000$
6Brandon CrawleyX100.007074615174545844253139603755554850540242866,666$
MOYENNE D'ÉQUIPE100.00786583677557615644495263434950585059
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
1Calvin Pickard100.00485468784547505447483057574950530
2Dylan Wells100.00454455704444505246473044444750490
Rayé
MOYENNE D'ÉQUIPE100.0047496274454650534748305151485051
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rocky Thompson65656168656082CAN432750,000$


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

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# Nom du Joueur Nom de l'ÉquipePOSGP 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
1Barrett HaytonMarlies (TOR)C/LW161625413440143566114524.24%132520.323585421122741073.35%39400002.5200000522
2Martin KautMarlies (TOR)RW161511262840121247113431.91%426616.652026400000293063.64%3300011.9500000052
3Andrew LaddMarlies (TOR)LW/RW1612132531100262578295615.38%430519.0912310410006531065.38%2600011.6400000222
4Gabriel BourqueMarlies (TOR)LW/RW165162127100272348124010.42%327917.4602210441122441082.35%1700001.5000000001
5Andy AndreoffMarlies (TOR)C/LW161472122100142077174918.18%227617.280004341013393079.31%20300011.5200000302
6Adam MascherinMarlies (TOR)LW167111818120211552205313.46%622714.190113180001161063.64%1100001.5900000202
7Justin DowlingMarlies (TOR)C/LW/RW165131817404122972417.24%119612.31011233000000075.00%1600001.8300000010
8Steven LorentzMarlies (TOR)C1661016134082134113317.65%019412.1800000000001181.71%16400001.6400000120
9Tyler GaudetMarlies (TOR)C/LW16410141614029194613378.70%222414.050003190001191077.14%10500001.2500000011
10Bowen ByramMarlies (TOR)D121111217220275163136.25%725821.53123113302204500 0.00%000000.9300000000
11Brinson PasichnukMarlies (TOR)D1611112288024674814.29%726216.39000050000900 0.00%000000.9200000000
12Jack StudnickaMarlies (TOR)C166511112022128123321.43%01449.0310111000001073.83%10700001.5200000010
13Jeremy DaviesMarlies (TOR)D162792220122165812.50%1334321.4711263901106600 0.00%000000.5200000000
14Keaton MiddletonMarlies (TOR)D16257291001691721311.76%1433721.0911274300006200 0.00%000000.4100000000
15Oleg SosunovMarlies (TOR)D1615621375434143117.14%1231719.8301113600004800 0.00%000000.3800010000
16Joseph CecconiMarlies (TOR)D160662920023314460.00%928617.8901101500002800 0.00%000000.4200000000
17Simon HolmstromMarlies (TOR)RW32134002261533.33%03712.47000010000000100.00%200001.6000000001
18Liam O'BrienMarlies (TOR)C6033440169185140.00%07612.68000000000000100.00%200000.7900000000
19Jonathan DavidssonMarlies (TOR)RW31123004144125.00%0268.92000000000000 0.00%000001.5000000000
Stats d'équipe Total ou en Moyenne264100171271374177532424461717448316.21%85438616.62101727694523581554113175.83%108000031.2400010131413
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

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# 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
1Calvin PickardMarlies (TOR)1613300.9281.199570419265000 0.0000160000
Stats d'équipe Total ou en Moyenne1613300.9281.199570419265000 0.0000160000


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 Type Salaire Actuel Salaire RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Adam MascherinMarlies (TOR)LW231998-06-05No205 Lbs5 ft10NoNoNo2Pro & Farm880,000$880,000$0$0$No880,000$Lien / Lien NHL
Andrew LaddMarlies (TOR)LW/RW351985-12-12No192 Lbs6 ft3YesNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Andy AndreoffMarlies (TOR)C/LW301991-05-17No203 Lbs6 ft1YesNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Barrett HaytonMarlies (TOR)C/LW212000-06-08Yes190 Lbs6 ft1NoNoNo2Pro & Farm2,644,167$2,644,167$0$0$No2,644,167$Lien / Lien NHL
Bowen ByramMarlies (TOR)D202001-06-12Yes190 Lbs6 ft1YesNoNo3Pro & Farm3,394,167$3,394,167$0$0$No3,394,167$3,394,167$Lien
Brandon CrawleyMarlies (TOR)D241997-02-01No202 Lbs6 ft1NoNoNo2Pro & Farm866,666$866,666$0$0$No866,666$Lien
Brinson PasichnukMarlies (TOR)D231997-11-23Yes205 Lbs6 ft0NoNoNo1Pro & Farm1,775,000$1,775,000$0$0$NoLien
Calvin PickardMarlies (TOR)G291992-04-14No210 Lbs6 ft1NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Dylan WellsMarlies (TOR)G231998-01-03No185 Lbs6 ft1NoNoNo1Pro & Farm910,833$910,833$0$0$NoLien / Lien NHL
Gabriel BourqueMarlies (TOR)LW/RW311990-09-23No206 Lbs5 ft10YesNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien / Lien NHL
Jack StudnickaMarlies (TOR)C221999-02-18Yes171 Lbs6 ft1NoNoNo3Pro & Farm863,333$863,333$0$0$No863,333$863,333$Lien / Lien NHL
Jeremy DaviesMarlies (TOR)D241996-12-04Yes180 Lbs5 ft11NoNoNo2Pro & Farm1,325,000$1,325,000$0$0$No1,325,000$Lien / Lien NHL
Jonathan DavidssonMarlies (TOR)RW241997-03-12Yes185 Lbs5 ft11NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Lien / Lien NHL
Joseph CecconiMarlies (TOR)D241997-05-23No210 Lbs6 ft3NoNoNo2Pro & Farm1,293,750$1,293,750$0$0$No1,293,750$Lien / Lien NHL
Justin DowlingMarlies (TOR)C/LW/RW311990-10-01No180 Lbs5 ft10NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Keaton MiddletonMarlies (TOR)D231998-02-10No233 Lbs6 ft6NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Liam O'BrienMarlies (TOR)C271994-07-29No213 Lbs6 ft1NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Martin KautMarlies (TOR)RW221999-10-02No176 Lbs6 ft2NoNoNo2Pro & Farm1,319,167$1,319,167$0$0$No1,319,167$Lien / Lien NHL
Oleg SosunovMarlies (TOR)D231998-04-13Yes236 Lbs6 ft8NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Sean DayMarlies (TOR)D231998-01-09No218 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Simon HolmstromMarlies (TOR)RW202001-05-24Yes200 Lbs6 ft1NoNoNo3Pro & Farm863,333$863,333$0$0$No863,333$863,333$Lien / Lien NHL
Spencer SmallmanMarlies (TOR)RW251996-09-08No200 Lbs6 ft0NoNoNo1Pro & Farm758,333$758,333$0$0$NoLien / Lien NHL
Stepan FalkovskyMarlies (TOR)D241996-12-18Yes224 Lbs6 ft7NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien
Steven LorentzMarlies (TOR)C251996-04-13No206 Lbs6 ft4NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Tyler GaudetMarlies (TOR)C/LW281993-03-04No205 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Lien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2524.96201 Lbs6 ft21.961,073,750$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Gabriel BourqueBarrett HaytonAndrew Ladd40014
2Adam MascherinTyler GaudetMartin Kaut30122
3Andy AndreoffSteven LorentzLiam O'Brien20122
4Tyler GaudetJack StudnickaJustin Dowling10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Bowen ByramKeaton Middleton35131
2Oleg SosunovJeremy Davies35131
3Joseph CecconiBrinson Pasichnuk30131
4Bowen ByramKeaton Middleton0131
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Gabriel BourqueBarrett HaytonAndrew Ladd60005
2Adam MascherinTyler GaudetGabriel Bourque40014
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Bowen ByramKeaton Middleton60014
2Oleg SosunovJeremy Davies40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Barrett HaytonGabriel Bourque60122
2Tyler GaudetAdam Mascherin40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Bowen ByramKeaton Middleton60122
2Oleg SosunovJeremy Davies40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Barrett Hayton60122Bowen ByramKeaton Middleton60122
2Tyler Gaudet40122Oleg SosunovJeremy Davies40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Barrett HaytonGabriel Bourque60122
2Tyler GaudetAdam Mascherin40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Bowen ByramKeaton Middleton60122
2Oleg SosunovJeremy Davies40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Gabriel BourqueBarrett HaytonAndrew LaddBowen ByramKeaton Middleton
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Gabriel BourqueBarrett HaytonAndrew LaddBowen ByramKeaton Middleton
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Martin Kaut, Andy Andreoff, Tyler GaudetMartin Kaut, Andy AndreoffMartin Kaut
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jeremy Davies, Joseph Cecconi, Brinson PasichnukJeremy DaviesJeremy Davies, Joseph Cecconi
Tirs de Pénalité
Andrew Ladd, Barrett Hayton, Gabriel Bourque, Adam Mascherin, Martin Kaut
Gardien
#1 : Calvin Pickard, #2 : Dylan Wells
Lignes d'Attaque Perso. en Prol.
Andrew Ladd, Barrett Hayton, Gabriel Bourque, Adam Mascherin, Martin Kaut, Andy Andreoff, Andy Andreoff, Tyler Gaudet, Justin Dowling, Jack Studnicka, Steven Lorentz
Lignes de Défense Perso. en Prol.
Bowen Byram, Keaton Middleton, Oleg Sosunov, Jeremy Davies, Joseph Cecconi


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
1Canucks2020000024-21010000023-11010000001-100.00023500413326035196206215037223439700.00%16381.25%036449074.29%26133677.68%19525775.88%50839027091181103
2Comets3300000031328220000002112011000000102861.0003156870141332601821962062150531831618337.50%12191.67%236449074.29%26133677.68%19525775.88%50839027091181103
3Crunch22000000184141100000082611000000102841.00018345200413326098196206215034716444125.00%7185.71%036449074.29%26133677.68%19525775.88%50839027091181103
4Griffins2200000014311110000007161100000072541.00014223600413326060196206215037918464125.00%9366.67%036449074.29%26133677.68%19525775.88%50839027091181103
5Monsters220000001019110000007071100000031241.000101525014133260471962062150409343411327.27%160100.00%136449074.29%26133677.68%19525775.88%50839027091181103
6Rocket321000001037110000002112110000082640.667101828014133260951962062150351426562129.52%12191.67%036449074.29%26133677.68%19525775.88%50839027091181103
7Senators2200000015114110000008171100000070741.00015233801413326010019620621502961844200.00%90100.00%036449074.29%26133677.68%19525775.88%50839027091181103
Total16133000001001981871000005594686200000451035260.813100171271044133260617196206215026585177324571017.54%81988.89%336449074.29%26133677.68%19525775.88%50839027091181103
_Since Last GM Reset16133000001001981871000005594686200000451035260.813100171271044133260617196206215026585177324571017.54%81988.89%336449074.29%26133677.68%19525775.88%50839027091181103
_Vs Conference16133000001001981871000005594686200000451035260.813100171271044133260617196206215026585177324571017.54%81988.89%336449074.29%26133677.68%19525775.88%50839027091181103
_Vs Division91330000057114647100000255205620000032626261.44457971540241332603531962062150135367819031412.90%37586.49%036449074.29%26133677.68%19525775.88%50839027091181103

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
1626L11001712716172658517732404
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
16133000010019
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
8710000559
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
86200004510
Derniers 10 Matchs
WLOTWOTL SOWSOL
910000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
571017.54%81988.89%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
19620621504133260
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
36449074.29%26133677.68%19525775.88%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
50839027091181103


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
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
1 - 2021-10-181Comets1Marlies11WSommaire du Match
2 - 2021-10-1924Marlies1Rocket2LSommaire du Match
4 - 2021-10-2145Canucks3Marlies2LSommaire du Match
6 - 2021-10-2365Marlies3Monsters1WSommaire du Match
7 - 2021-10-2479Monsters0Marlies7WSommaire du Match
8 - 2021-10-2593Marlies7Griffins2WSommaire du Match
9 - 2021-10-26110Griffins1Marlies7WSommaire du Match
11 - 2021-10-28133Rocket1Marlies2WSommaire du Match
12 - 2021-10-29143Marlies10Crunch2WSommaire du Match
13 - 2021-10-30162Comets0Marlies10WSommaire du Match
14 - 2021-10-31174Marlies7Senators0WSommaire du Match
16 - 2021-11-02195Senators1Marlies8WSommaire du Match
18 - 2021-11-04215Marlies7Rocket0WSommaire du Match
19 - 2021-11-05228Crunch2Marlies8WSommaire du Match
21 - 2021-11-07244Marlies10Comets2WSommaire du Match
22 - 2021-11-08254Marlies0Canucks1LSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets350
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
0 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,684,375$ 2,672,041$ 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$ 0 0$ 0$





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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