Stars

GP: 82 | W: 41 | L: 33 | OTL: 8 | P: 90
GF: 229 | GA: 232 | PP%: 24.53% | PK%: 85.41%
DG: Alain Belanger | Morale : 51 | Moyenne d'Équipe : 70
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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
1Mikko RantanenXXX100.007144798880869597379591557560618572780
2J.T. CompherXXX100.006552868370768583807372832559607672710
3Ryan StromeXXX100.007356788271729969787475755367687372710
4Adam Henrique (C)XXX100.007543908171748777927277723772747572710
5Brandon SutterXX100.007844927773766265865970956377797272700
6Dylan StromeX100.005941917971739280818477602560607572700
7Joe Thornton (A)X100.005942917283707776868268556399997262702
8Michael GrabnerXX100.006942938869687860376173892572737472690
9Richard PanikXX100.008345838175749176336570744567687472690
10Paul ByronXX100.008555908558688664367478698067677772690
11Sam Lafferty (R)XXX100.006971657571708080787070765447475969680
12Danton HeinenXXX100.006942928069679668307366602560617059660
13Alec MartinezX100.007844957975838667255748852571756762720
14Chris TanevX100.006542898573816659255548992571726672720
15John Klingberg (A)X99.006942938967919084257556662566677261710
16Thomas ChabotX100.007544867973909085257657702556567472710
17Derrick PouliotX100.007744857774728468255248672562636272660
18Juuso Riikola (R)X100.008845917366706865254848702547476171630
Rayé
1Gabriel BourqueXX100.008345937572557655355956824168706626630
MOYENNE D'ÉQUIPE99.95734687807275847349696674406667716769
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
1Jaroslav Halak100.00877776649678758688878371738472790
2Mikko Koskinen100.00747269887375607476747849497273700
Rayé
MOYENNE D'ÉQUIPE100.0081757376857768808281816061787375
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Gerald Gallant97858093796784CAN5231,000,000$


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'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
1Mikko RantanenStarsC/LW/RW82385290-144201408834410323311.05%37156219.0611233444182000016031.40%868020011.15010001083
2Dylan StromeStarsC82313566-1360571132466214112.60%26138216.86161026371670000237548.89%13504414000.9519000737
3J.T. CompherStarsC/LW/RW8221325394082113241771288.71%39132716.1900021900021464350.43%8235723110.8000000242
4Adam HenriqueStarsC/LW/RW821928470160123941644710511.59%48146917.925712241540002665153.47%4323434000.6428000323
5Joe ThorntonStarsC82102939-2214057117191691045.24%24132116.12551016121000010054.43%13323413000.5900000103
6Ryan StromeStarsC/LW/RW82112536-2454013173197711355.58%24136616.6631417151610114710047.31%935532000.5324000111
7Thomas ChabotStarsD801025354340899687443811.49%97169621.207815171980113123400.00%01044000.4100000022
8Michael GrabnerStarsLW/RW81141933-4408995154561029.09%35135616.7514578701131903240.30%676120000.4905000421
9John KlingbergStarsD8262127-2719510213112154534.96%132207725.33371016201000035110.00%03569000.2600001012
10Sam LaffertyStarsC/LW/RW58915240455904815256935.92%1678813.59000010000133039.39%333221000.6100010200
11Richard PanikStarsLW/RW82131124-426013871108397612.04%29117414.320001200001231130.00%702530000.4102000024
12Brandon SutterStarsC/RW78914234100578689276610.11%2189611.4900021520271370052.15%4411526000.5101000011
13Paul ByronStarsLW/RW7391120-320804714138946.38%197139.7800000000002145.83%244711000.5623000130
14Chris TanevStarsD8231518-9220661227632313.95%106176421.5202211261011151010.00%0461000.2000000010
15Alec MartinezStarsD6721416-980971196630353.03%114161824.1601121140001131000.00%0554000.2000000020
16Danton HeinenStarsC/LW/RW67691514050329133516.59%65908.81000020002480127.78%182410100.5100000101
17Gabriel BourqueStarsLW/RW50448240543127111214.81%174488.97000040001131020.00%10011000.3600000001
18Derrick PouliotStarsD70257012050433710185.41%3688912.7100007000038000.00%0122000.1600000000
19Juuso RiikolaStarsD4807788033521810130.00%3167314.0200002000071000.00%0124000.2100000000
20Dion PhaneufTexas Stars (DAL)D34055-1120053383312100.00%4265619.2900001000144000.00%0225000.1500000001
21Francois BeaucheminTexas Stars (DAL)D6000-1401076120.00%1010217.1000001100008000.00%011000.0000000000
22Colin BlackwellTexas Stars (DAL)C/LW3000220230000.00%1258.370000000000000.00%010000.0000000000
Stats d'équipe Total ou en Moyenne1453217376593-1113601016501619258988215408.38%9102390016.4551811321841603336281343371650.45%4779568565220.50733011323232
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
1Jaroslav HalakStars62331970.9232.563445401471902915200.700206022877
2Mikko KoskinenStars265800.8853.767352046399193201.0003772110
3Martin OuelletteTexas Stars (DAL)20100.8863.58670043523000.000013000
Stats d'équipe Total ou en Moyenne90382870.9162.7842486019723361131400.739236897987


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 Cap 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 HenriqueStarsC/LW/RW281990-02-06No195 Lbs6 ft0NoNoNo4Pro Only5,825,000$5,825,000$40,734$No5,825,000$5,825,000$5,825,000$Lien
Alec MartinezStarsD301987-07-25No208 Lbs6 ft1NoNoNo1Pro & Farm4,000,000$4,000,000$27,972$NoLien
Brandon SutterStarsC/RW291989-02-14No191 Lbs6 ft3NoNoNo1Pro & Farm4,375,000$4,375,000$30,594$NoLien
Chris TanevStarsD281989-12-20No195 Lbs6 ft2NoNoNo2Pro & Farm4,450,000$4,450,000$31,119$No4,450,000$Lien
Danton HeinenStarsC/LW/RW221995-07-05No185 Lbs6 ft1NoNoNo2Pro & Farm2,800,000$2,800,000$19,580$No2,800,000$Lien
Derrick PouliotStarsD241994-01-16No208 Lbs6 ft0NoNoNo1Pro & Farm700,000$700,000$4,895$NoLien
Dylan StromeStarsC211997-03-07No185 Lbs6 ft3NoNoNo1Pro & Farm863,333$863,333$6,037$NoLien
Gabriel BourqueStarsLW/RW271990-09-23No206 Lbs5 ft10NoNoNo1Pro & Farm700,000$700,000$4,895$NoLien
J.T. CompherStarsC/LW/RW231995-04-08No193 Lbs6 ft0NoNoNo4Pro & Farm3,500,000$3,500,000$24,476$No3,500,000$3,500,000$3,500,000$Lien
Jaroslav HalakStarsG331985-05-13No183 Lbs5 ft11NoNoNo1Pro & Farm2,750,000$2,750,000$19,231$NoLien
Joe ThorntonStarsC381979-07-02No220 Lbs6 ft4YesNoNo1Pro & Farm15,000,000$15,000,000$104,895$NoLien
John KlingbergStarsD251992-08-14No177 Lbs6 ft2NoNoNo1Pro & Farm4,250,000$4,250,000$29,720$NoLien
Juuso RiikolaStarsD241993-11-09Yes176 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$6,469$NoLien
Michael GrabnerStarsLW/RW301987-10-05No188 Lbs6 ft1NoNoNo2Pro & Farm3,350,000$3,350,000$23,427$No3,350,000$Lien
Mikko KoskinenStarsG291988-07-17No209 Lbs6 ft7YesNoNo2Pro & Farm6,999,999$6,999,999$48,951$No6,999,999$Lien
Mikko RantanenStarsC/LW/RW211996-10-28No211 Lbs6 ft4NoNoNo5Pro & Farm9,250,000$9,250,000$64,685$No9,250,000$9,250,000$9,250,000$9,250,000$Lien
Paul ByronStarsLW/RW291989-04-26No162 Lbs5 ft9NoNoNo4Pro & Farm3,400,000$3,400,000$23,776$No3,400,000$3,400,000$3,400,000$Lien
Richard PanikStarsLW/RW271991-02-07No208 Lbs6 ft1NoNoNo4Pro & Farm2,750,000$2,750,000$19,231$No2,750,000$2,750,000$2,750,000$Lien
Ryan StromeStarsC/LW/RW241993-07-11No194 Lbs6 ft1NoNoNo1Pro & Farm3,000,000$3,000,000$20,979$NoLien
Sam LaffertyStarsC/LW/RW231995-03-06Yes194 Lbs6 ft1NoNoNo2Pro & Farm767,500$767,500$5,367$No767,500$Lien
Thomas ChabotStarsD211997-01-30No196 Lbs6 ft2NoNoNo6Pro & Farm863,333$863,333$6,037$No8,000,000$8,000,000$8,000,000$8,000,000$8,000,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2126.48194 Lbs6 ft12.243,834,246$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
80,519,165$51,092,499$32,725,000$32,725,000$17,250,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mikko RantanenDylan StromeAdam Henrique30023
2Ryan StromeJoe ThorntonMichael Grabner28032
3Richard PanikJ.T. CompherSam Lafferty27032
4Paul ByronBrandon SutterDanton Heinen15032
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Alec MartinezJohn Klingberg43140
2Thomas ChabotChris Tanev32140
3Derrick PouliotJuuso Riikola15140
4Chris TanevJuuso Riikola10140
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Mikko RantanenDylan StromeRyan Strome60005
2Adam HenriqueJoe ThorntonMichael Grabner40005
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Thomas ChabotJohn Klingberg60014
2Alec MartinezChris Tanev40014
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brandon SutterMichael Grabner60140
2J.T. CompherDanton Heinen40140
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Chris TanevAlec Martinez60140
2Thomas ChabotJuuso Riikola40140
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Ryan Strome60131Chris TanevAlec Martinez60140
2J.T. Compher40140John KlingbergJuuso Riikola40140
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Dylan StromeMichael Grabner60122
2Adam HenriqueJ.T. Compher40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Juuso RiikolaAlec Martinez50131
2Thomas ChabotChris Tanev50131
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Mikko RantanenAdam HenriqueMichael GrabnerThomas ChabotJohn Klingberg
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Richard PanikJ.T. CompherRyan StromeAlec MartinezChris Tanev
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Ryan Strome, Brandon Sutter, J.T. CompherRichard Panik, Brandon SutterRyan Strome
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Juuso Riikola, Thomas Chabot, Derrick PouliotJuuso RiikolaThomas Chabot, Derrick Pouliot
Tirs de Pénalité
Dylan Strome, Michael Grabner, Adam Henrique, Ryan Strome, Richard Panik
Gardien
#1 : Jaroslav Halak, #2 : Mikko Koskinen
Lignes d'Attaque Perso. en Prol.
Dylan Strome, Mikko Rantanen, Adam Henrique, Michael Grabner, Richard Panik, Joe Thornton, Joe Thornton, J.T. Compher, Paul Byron, Ryan Strome, John Klingberg
Lignes de Défense Perso. en Prol.
John Klingberg, Thomas Chabot, Alec Martinez, Derrick Pouliot, Chris Tanev


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
1Avalanche20200000411-71010000027-51010000024-200.000461000121069192525065194455120.00%20100.00%0914180050.78%967188451.33%572114350.04%422542183516
2Blackhawks52200001141043020000147-322000000103750.5001421350054501384149458183572811712325.00%140100.00%0914180050.78%967188451.33%572114350.04%10358110469043
3Blues420020001156210010006332100100052381.00011172800333213341434721084122706233.33%110100.00%0914180050.78%967188451.33%572114350.04%915475357336
4Bruins22000000422110000002111100000021141.0004610001030571620210562712489333.33%60100.00%0914180050.78%967188451.33%572114350.04%462538193517
5Canadiens32100000945110000005142110000043140.6679152400234093322635010034125622100.00%60100.00%0914180050.78%967188451.33%572114350.04%664262245025
6Canucks2010000147-31010000024-21000000123-110.2504711001210571720203702013466116.67%30100.00%0914180050.78%967188451.33%572114350.04%432546183517
7Capitals210010001055100010005411100000051441.000101626002161652116271643412476233.33%6183.33%1914180050.78%967188451.33%572114350.04%422444173317
8Devils311000101313020100010910-11100000043140.66713203300246110327433231033612536466.67%6183.33%0914180050.78%967188451.33%572114350.04%674064265226
9Ducks22000000853110000005321100000032141.00081422002060551610290602110307342.86%50100.00%0914180050.78%967188451.33%572114350.04%392144183518
10Flames51201010181443020001089-121001000105560.6001832500046621803760788154492613119526.32%13192.31%0914180050.78%967188451.33%572114350.04%11465101479044
11Flyers20200000511-61010000026-41010000035-200.000581300113081143631079198344125.00%4175.00%0914180050.78%967188451.33%572114350.04%392447173316
12Golden Knights30100101811-31000000134-12010010057-220.333815230015209824373551084218626116.67%9277.78%0914180050.78%967188451.33%572114350.04%613369285627
13Golden Seals30300000513-81010000012-120200000411-700.00059140012201013638270111401256200.00%6266.67%0914180050.78%967188451.33%572114350.04%643965265023
14Islanders31200000811-32110000079-21010000012-120.333815230012501092934460973114628112.50%7185.71%0914180050.78%967188451.33%572114350.04%603365265427
15Jets3120000078-1211000006511010000013-220.3337101700124097323629098391476700.00%7185.71%1914180050.78%967188451.33%572114350.04%673858265427
16Kings21100000550110000003121010000024-220.500581300122061161926078198376116.67%30100.00%0914180050.78%967188451.33%572114350.04%442541173417
17Lightning421001001012-2220000006332010010049-550.62510192900127012129355521293814761218.33%7271.43%0914180050.78%967188451.33%572114350.04%855088366934
18Maple Leafs412000011214-2210000017522020000059-430.375122133000481137255159812649269010220.00%13469.23%0914180050.78%967188451.33%572114350.04%915381357236
19Maroons4310000012111220000006332110000068-260.750122234002370114432447013958228320735.00%10460.00%0914180050.78%967188451.33%572114350.04%884984356735
20Nordiques22000000633110000002111100000042241.00061016001320541420200691510377114.29%50100.00%0914180050.78%967188451.33%572114350.04%432339183719
21Oilers22000000752110000004311100000032141.0007132000133078194118068281040200.00%5260.00%0914180050.78%967188451.33%572114350.04%432542163417
22Panthers22000000844110000005321100000031241.0008162400314058201127057188476233.33%40100.00%0914180050.78%967188451.33%572114350.04%452638173617
23Penguins2110000045-11010000024-21100000021120.5004610001120652411300612316347228.57%8362.50%0914180050.78%967188451.33%572114350.04%442640183517
24Rangers2010001069-3100000103211010000037-420.5006713000231621726194902615412150.00%5180.00%1914180050.78%967188451.33%572114350.04%412348173517
25Red Wings3020001058-3100000102112020000037-420.3335611001122862330316113464599222.22%20100.00%0914180050.78%967188451.33%572114350.04%613673275024
26Sabres21100000642110000004131010000023-120.500612180002407326232406428426400.00%20100.00%0914180050.78%967188451.33%572114350.04%462839173317
27Senateurs21001000743110000004221000100032141.00071118002311671826221701912475240.00%6183.33%0914180050.78%967188451.33%572114350.04%482939163317
28Sharks3030000049-51010000024-22020000025-300.0004590021109433342708538455600.00%20100.00%0914180050.78%967188451.33%572114350.04%623663265326
Total82323305345229232-3411814020431241131141141903302105119-14900.54922938161000466710712264075487898160272894038617092125224.53%1852785.41%3914180050.78%967188451.33%572114350.04%1782103717467371448722
30Wild41100101990211000007522000010124-240.500914230032411344534499123261610411218.18%80100.00%0914180050.78%967188451.33%572114350.04%864988387234
_Since Last GM Reset82323305345229232-3411814020431241131141141903302105119-14900.54922938161000466710712264075487898160272894038617092125224.53%1852785.41%3914180050.78%967188451.33%572114350.04%1782103717467371448722
_Vs Conference4218150221412011372211800012625482077022025859-1480.57112020732700253656513403694195333914024382119091293023.26%1001684.00%0914180050.78%967188451.33%572114350.04%924536887380742371
_Vs Division261090121375705146500012383261244012013738-1290.5587512920400152137482422025333335854277132601842023.81%651183.08%0914180050.78%967188451.33%572114350.04%569326555238462230

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
8290W122938161026402728940386170900
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8232335345229232
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4118142043124113
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4114193302105119
Derniers 10 Matchs
WLOTWOTL SOWSOL
412201
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2125224.53%1852785.41%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
75487898160466710712
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
914180050.78%967188451.33%572114350.04%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
1782103717467371448722


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 - 2019-10-043Flames3Stars2LSommaire du Match
2 - 2019-10-0516Stars3Maple Leafs5LSommaire du Match
4 - 2019-10-0737Stars3Blackhawks1WSommaire du Match
5 - 2019-10-0848Blackhawks4Stars3LXXSommaire du Match
7 - 2019-10-1066Maroons1Stars3WSommaire du Match
8 - 2019-10-1176Stars1Sharks3LSommaire du Match
10 - 2019-10-1395Stars2Red Wings5LSommaire du Match
12 - 2019-10-15107Maple Leafs4Stars3LXXSommaire du Match
14 - 2019-10-17126Flames4Stars3LSommaire du Match
16 - 2019-10-19138Stars2Maroons6LSommaire du Match
18 - 2019-10-21157Devils5Stars6WXXSommaire du Match
19 - 2019-10-22168Stars3Oilers2WSommaire du Match
21 - 2019-10-24184Stars2Golden Knights3LSommaire du Match
23 - 2019-10-26198Islanders7Stars4LSommaire du Match
24 - 2019-10-27211Stars1Canadiens2LSommaire du Match
26 - 2019-10-29231Blackhawks2Stars1LSommaire du Match
28 - 2019-10-31244Stars2Blues1WXSommaire du Match
29 - 2019-11-01257Stars3Rangers7LSommaire du Match
31 - 2019-11-03268Red Wings1Stars2WXXSommaire du Match
33 - 2019-11-05288Oilers3Stars4WSommaire du Match
35 - 2019-11-07306Stars1Red Wings2LSommaire du Match
36 - 2019-11-08311Stars2Kings4LSommaire du Match
38 - 2019-11-10330Senateurs2Stars4WSommaire du Match
40 - 2019-11-12349Sabres1Stars4WSommaire du Match
42 - 2019-11-14361Stars2Avalanche4LSommaire du Match
43 - 2019-11-15374Stars3Senateurs2WXSommaire du Match
44 - 2019-11-16389Kings1Stars3WSommaire du Match
47 - 2019-11-19410Golden Seals2Stars1LSommaire du Match
48 - 2019-11-20424Stars2Maple Leafs4LSommaire du Match
50 - 2019-11-22440Panthers3Stars5WSommaire du Match
51 - 2019-11-23449Stars1Sharks2LSommaire du Match
54 - 2019-11-26470Capitals4Stars5WXSommaire du Match
56 - 2019-11-28482Stars7Flames3WSommaire du Match
57 - 2019-11-29492Stars3Blues1WSommaire du Match
58 - 2019-11-30507Wild4Stars2LSommaire du Match
61 - 2019-12-03530Canadiens1Stars5WSommaire du Match
63 - 2019-12-05546Stars4Maroons2WSommaire du Match
64 - 2019-12-06558Maroons2Stars3WSommaire du Match
67 - 2019-12-09577Penguins4Stars2LSommaire du Match
68 - 2019-12-10589Stars2Golden Seals4LSommaire du Match
70 - 2019-12-12607Stars3Panthers1WSommaire du Match
71 - 2019-12-13614Bruins1Stars2WSommaire du Match
73 - 2019-12-15636Rangers2Stars3WXXSommaire du Match
74 - 2019-12-16644Stars1Jets3LSommaire du Match
76 - 2019-12-18664Stars5Capitals1WSommaire du Match
78 - 2019-12-20679Nordiques1Stars2WSommaire du Match
80 - 2019-12-22695Stars1Islanders2LSommaire du Match
81 - 2019-12-23700Stars4Devils3WSommaire du Match
83 - 2019-12-25719Lightning2Stars3WSommaire du Match
84 - 2019-12-26736Stars2Bruins1WSommaire du Match
86 - 2019-12-28747Flames2Stars3WXXSommaire du Match
88 - 2019-12-30768Islanders2Stars3WSommaire du Match
90 - 2020-01-01782Stars3Golden Knights4LXSommaire du Match
91 - 2020-01-02798Golden Knights4Stars3LXXSommaire du Match
93 - 2020-01-04810Stars3Ducks2WSommaire du Match
95 - 2020-01-06821Stars3Canadiens1WSommaire du Match
97 - 2020-01-08838Canucks4Stars2LSommaire du Match
99 - 2020-01-10858Stars4Nordiques2WSommaire du Match
101 - 2020-01-12868Blackhawks1Stars0LSommaire du Match
103 - 2020-01-14886Sharks4Stars2LSommaire du Match
106 - 2020-01-17906Stars2Golden Seals7LSommaire du Match
107 - 2020-01-18922Wild1Stars5WSommaire du Match
109 - 2020-01-20938Devils5Stars3LSommaire du Match
110 - 2020-01-21948Stars2Sabres3LSommaire du Match
113 - 2020-01-24970Stars3Flyers5LSommaire du Match
114 - 2020-01-25982Stars2Penguins1WSommaire du Match
115 - 2020-01-26993Flyers6Stars2LSommaire du Match
116 - 2020-01-271012Lightning1Stars3WSommaire du Match
119 - 2020-01-301029Avalanche7Stars2LSommaire du Match
120 - 2020-01-311033Stars7Blackhawks2WSommaire du Match
122 - 2020-02-021057Jets3Stars2LSommaire du Match
123 - 2020-02-031067Stars1Wild2LXXSommaire du Match
125 - 2020-02-051076Stars3Flames2WXSommaire du Match
127 - 2020-02-071097Blues1Stars3WSommaire du Match
128 - 2020-02-081112Stars1Wild2LXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
130 - 2020-02-101130Blues2Stars3WXSommaire du Match
132 - 2020-02-121150Ducks3Stars5WSommaire du Match
133 - 2020-02-131156Stars2Canucks3LXXSommaire du Match
135 - 2020-02-151179Maple Leafs1Stars4WSommaire du Match
136 - 2020-02-161184Stars1Lightning5LSommaire du Match
139 - 2020-02-191209Stars3Lightning4LXSommaire du Match
141 - 2020-02-211217Jets2Stars4WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets115754530220
Assistance166,562135,59556,035101,19427,469
Attendance PCT67.71%66.14%68.34%61.70%67.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 11875 - 65.97% 1,487,268$60,977,996$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
80,904,221$ 80,519,165$ 64,588,276$ 0$ 3,125,000$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
80,519,165$ 80,904,221$ 0$ 21 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 1 570,064$ 570,064$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
570,064$ 84,764,165$ 24,206,238$ 23,636,174$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Mikko RantanenAGE:21PO:85OV:78
J.T. CompherAGE:23PO:76OV:71
Adam HenriqueAGE:28PO:75OV:71
Ryan StromeAGE:24PO:73OV:71
Paul ByronAGE:29PO:77OV:69
Michael GrabnerAGE:30PO:74OV:69
Richard PanikAGE:27PO:74OV:69
*Sam LaffertyAGE:23PO:59OV:68
Danton HeinenAGE:22PO:70OV:66
Gabriel BourqueAGE:27PO:66OV:63
Alan QuineAGE:25PO:68OV:60
Connor BrickleyAGE:26PO:64OV:60
Luke WitkowskiAGE:28PO:58OV:60
Colin BlackwellAGE:25PO:64OV:59
Phil VaroneAGE:27PO:63OV:59
Laurent DauphinAGE:23PO:62OV:59
Michael Dal ColleAGE:22PO:63OV:57
Tobias LindbergAGE:22PO:56OV:55
Joseph CramarossaAGE:25PO:52OV:54
Danick MartelAGE:23PO:52OV:52
Mikko RantanenAGE:21PO:85OV:78
J.T. CompherAGE:23PO:76OV:71
Adam HenriqueAGE:28PO:75OV:71
Ryan StromeAGE:24PO:73OV:71
Dylan StromeAGE:21PO:75OV:70
Brandon SutterAGE:29PO:72OV:70
Joe ThorntonAGE:38PO:72OV:70
*Sam LaffertyAGE:23PO:59OV:68
Danton HeinenAGE:22PO:70OV:66
Alan QuineAGE:25PO:68OV:60
Josh CurrieAGE:25PO:65OV:60
Connor BrickleyAGE:26PO:64OV:60
Luke JohnsonAGE:23PO:63OV:60
*Glenn GawdinAGE:21PO:62OV:60
Colin BlackwellAGE:25PO:64OV:59
Phil VaroneAGE:27PO:63OV:59
Laurent DauphinAGE:23PO:62OV:59
*Ty DellandreaAGE:17PO:56OV:54
Joseph CramarossaAGE:25PO:52OV:54
Danick MartelAGE:23PO:52OV:52
Mikko RantanenAGE:21PO:85OV:78
J.T. CompherAGE:23PO:76OV:71
Adam HenriqueAGE:28PO:75OV:71
Ryan StromeAGE:24PO:73OV:71
Brandon SutterAGE:29PO:72OV:70
Paul ByronAGE:29PO:77OV:69
Michael GrabnerAGE:30PO:74OV:69
Richard PanikAGE:27PO:74OV:69
*Sam LaffertyAGE:23PO:59OV:68
Danton HeinenAGE:22PO:70OV:66
Gabriel BourqueAGE:27PO:66OV:63
Ryan MurphyAGE:25PO:57OV:63
Josh CurrieAGE:25PO:65OV:60
Connor BrickleyAGE:26PO:64OV:60
*Glenn GawdinAGE:21PO:62OV:60
Phil VaroneAGE:27PO:63OV:59
Laurent DauphinAGE:23PO:62OV:59
Michael Dal ColleAGE:22PO:63OV:57
Tobias LindbergAGE:22PO:56OV:55
*Spencer SmallmanAGE:21PO:55OV:54

Défense #1Défense #2Gardien
Alec MartinezAGE:30PO:67OV:72
Chris TanevAGE:28PO:66OV:72
Thomas ChabotAGE:21PO:74OV:71
John KlingbergAGE:25PO:72OV:71
Dion PhaneufAGE:33PO:61OV:69
Derrick PouliotAGE:24PO:62OV:66
*Juuso RiikolaAGE:24PO:61OV:63
*Cal FooteAGE:19PO:60OV:63
Ryan MurphyAGE:25PO:57OV:63
Francois BeaucheminAGE:38PO:54OV:63
*Cale FleuryAGE:19PO:59OV:62
Brad HuntAGE:29PO:61OV:60
Luke WitkowskiAGE:28PO:58OV:60
*Joshua JacobsAGE:22PO:53OV:57
*Alex BretonAGE:20PO:51OV:53
Jaroslav HalakAGE:33PO:84OV:79
Mikko KoskinenAGE:29PO:72OV:70
*Martin OuelletteAGE:26PO:68OV:64
Malcolm SubbanAGE:24PO:64OV:62
*Nick SchneiderAGE:20PO:64OV:62
Dustin TokarskiAGE:28PO:60OV:60
Richard BachmanAGE:30PO:49OV:50

Éspoirs

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
Éspoir Nom de l'ÉquipeAnnée de Repêchage Choix Total Information Lien
Aaron HuglenStars2019112
Alex SchoenbornStars
Cedric PareStars2017185
Clayton PhillipsStars201795
Connor CorcoranStars2018157
Damir SharipzianovStars
David NoelStars2017147
Dennis BusbyStars2018153
Jacob GravesStars
Jacob PetersonStars2017145
Jaden LindoStars2014183
Jesse YlonenStars201828
Joe WegwerthStars201493
Josh JacobsStars
KAREL VEJMELKAStars2015128
LUKE STEVENSStars2015124
Liam FoudyStars201816
Liam GormanStars2018183
Liam HawelStars2017115
Lucas FeukStars2019108
Mason McDonaldStars
Matthew StromeStars201757
Maxwell CrozierStars2019115
Nicholas PorcoStars2019130
Nolan FooteStars201910
Quinn OlsonStars201985
Rafael Harvey-PinardStars2019190
Samuel WalkerStars2017205
Scott WalfordStars201765
Tyler Bird Stars2014123
Zach FischerStars2017155

Choix au Repêchage

Année R1R2R3R4R5R6R7R8
2020DAL LAK DAL MON DAL DAL DAL
2021DAL DAL DAL DAL DAL DAL DAL DAL
2022DAL DAL DAL DAL DAL DAL DAL DAL
2023DAL DAL DAL DAL DAL DAL DAL DAL
2024DAL DAL DAL DAL DAL DAL DAL DAL



[2020-01-13 16:07:58] - TRADE : From Stars to Panthers : Y:2020-RND:8-DAL.
[2020-01-13 16:07:58] - TRADE : From Panthers to Stars : Laurent Dauphin (59).
[2020-01-05 12:43:56] - TRADE : From Stars to Kings : Alexander Radulov (75).
[2020-01-05 12:43:56] - TRADE : From Kings to Stars : Michael Grabner (69), Glenn Gawdin (60), Y:2020-RND:2-LAK.
[2019-12-17 16:29:16] - TRADE : From Stars to Rangers : Adam Pelech (69), Y:2020-RND:4-DAL.
[2019-12-17 16:29:16] - TRADE : From Rangers to Stars : Paul Byron (69).
[2019-11-24 16:41:27] - TRADE : From Stars to Devils : Sam Steel (65), Charlie Coyle (70), Jimmy Howard (75), Y:2020-RND:3-DAL.
[2019-11-24 16:41:27] - TRADE : From Devils to Stars : Alec Martinez (72), Brandon Sutter (69), Jaroslav Halak (78).
[2019-11-20 19:18:29] - Adam Henrique has been selected as captain for Stars.
[2019-11-20 19:18:29] - Unknown Player is no longer captain for Stars.
[2019-10-25 16:59:16] - New Record for Team's Most Hits (39) in 1 Game for Stars!
[2019-09-30 18:14:26] - TRADE : From Stars to Panthers : Y:2020-RND:4-COL.
[2019-09-30 18:14:26] - TRADE : From Panthers to Stars : Gabriel Bourque (63).
[2019-09-27 13:14:08] - Joshua Jacobs was added to Stars.
[2019-09-22 12:06:18] - Mike Sislo was released.
[2019-09-10 15:29:12] - Mikko Koskinen signed with Stars for 6 999 999 $ for 2 year(s) / Option : No Trade.
[2019-09-10 15:29:12] - Mikko Koskinen was added to Stars.
[2019-09-08 15:38:10] - Dion Phaneuf signed with Stars for 1 000 000 $ for 1 year(s) / Option : No Trade.
[2019-09-08 15:38:10] - Dion Phaneuf was added to Stars.
[2019-09-08 15:35:10] - Texas Stars hired Ryan Murphy for 60 000 $ for 3 year(s).
[2019-09-05 20:19:20] - Dustin Tokarski signed with Stars for 750 000 $ for 1 year(s).
[2019-09-05 20:19:20] - Dustin Tokarski was added to Stars.
[2019-09-05 20:19:05] - Tobias Lindberg signed with Stars for 700 000 $ for 1 year(s).
[2019-09-05 20:19:05] - Tobias Lindberg was added to Stars.
[2019-09-05 20:18:51] - Ryan Murphy signed with Stars for 750 000 $ for 1 year(s).
[2019-09-05 20:18:51] - Ryan Murphy was added to Stars.
[2019-09-05 20:13:32] - Connor Brickley signed with Stars for 700 000 $ for 1 year(s).
[2019-09-05 20:13:32] - Connor Brickley was added to Stars.
[2019-09-05 20:13:19] - Mikko Rantanen signed with Stars for 10 000 000 $ for 1 year(s).
[2019-09-05 20:13:19] - Mikko Rantanen was added to Stars.
[2019-09-05 19:56:35] - Stars hired Gerald Gallant for 1 000 000 $ for 3 year(s).



[2020-04-28 19:28:38] Successfully loaded Stars lines done with STHS Client - 3.2.0.5
[2020-04-27 19:35:15] J.T. Compher from Stars has scored a Hat Trick!
[2020-04-27 19:34:32] Successfully loaded Stars lines done with STHS Client - 3.2.0.5
[2020-04-24 15:04:40] Successfully loaded Stars lines done with STHS Client - 3.2.0.5
[2020-04-23 16:06:35] Alec Martinez from Stars is back from Lower Body Injury.
[2020-04-23 16:06:35] Stars lines for next game are empty. Current rosters/lines are not erased.
[2020-04-23 16:06:35] Game 1209 - Alec Martinez from Stars is injured (Lower Body) and is out for 3 days.
[2020-04-23 16:06:29] Successfully loaded Stars lines done with STHS Client - 3.2.0.5
[2020-04-22 17:04:13] Successfully loaded Stars lines done with STHS Client - 3.2.0.5
[2020-04-21 15:51:45] Successfully loaded Stars lines done with STHS Client - 3.2.0.5
[2020-04-20 16:03:13] Successfully loaded Stars lines done with STHS Client - 3.2.0.5
[2020-04-17 15:32:30] Successfully loaded Stars lines done with STHS Client - 3.2.0.5
[2020-04-16 18:33:22] Successfully loaded Stars lines done with STHS Client - 3.2.0.5
[2020-04-15 16:54:07] Successfully loaded Stars lines done with STHS Client - 3.2.0.5
[2020-04-14 17:33:51] Stars lines for next game are empty. Current rosters/lines are not erased.
[2020-04-14 17:27:09] Successfully loaded Stars lines done with STHS Client - 3.2.0.5
[2020-04-13 16:24:51] Successfully loaded Stars lines done with STHS Client - 3.2.0.5
[2020-04-11 10:13:20] 30 000 000 $ was added to Stars bank account.
[2020-04-11 10:13:14] Current fund for Stars is under 0 $.
[2020-04-11 10:12:31] Current fund for Stars is under 0 $.
[2020-04-11 10:10:11] Successfully loaded Stars lines done with STHS Client - 3.2.0.5
[2020-04-09 17:13:21] Current fund for Stars is under 0 $.
[2020-04-09 17:09:43] Successfully loaded Stars lines done with STHS Client - 3.2.0.5
[2020-04-08 17:06:54] Current fund for Stars is under 0 $.
[2020-04-08 17:06:24] Current fund for Stars is under 0 $.
[2020-04-08 16:31:33] Successfully loaded Stars lines done with STHS Client - 3.2.0.5
[2020-04-07 16:30:23] Current fund for Stars is under 0 $.
[2020-04-07 16:26:04] Successfully loaded Stars lines done with STHS Client - 3.2.0.5
[2020-04-06 17:08:15] Current fund for Stars is under 0 $.
[2020-04-06 17:04:58] Current fund for Stars is under 0 $.
[2020-04-06 17:00:38] Successfully loaded Stars lines done with STHS Client - 3.2.0.5
[2020-04-03 21:49:26] Current fund for Stars is under 0 $.
[2020-04-03 21:47:15] John Klingberg from Stars is back from Exhaustion.
[2020-04-03 21:46:59] Current fund for Stars is under 0 $.
[2020-04-03 21:46:48] John Klingberg from Stars is injured from Exhaustion.
[2020-04-03 21:42:55] Successfully loaded Stars lines done with STHS Client - 3.2.0.5



Pas de Blessure ou de Suspension.


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
201982323305345229232-3411814020431241131141141903302105119-149022938161000466710712264075487898160272894038617092125224.53%1852785.41%3914180050.78%967188451.33%572114350.04%1782103717467371448722
Total Saison Régulière82323305345229232-3411814020431241131141141903302105119-149022938161000466710712264075487898160272894038617092125224.53%1852785.41%3914180050.78%967188451.33%572114350.04%1782103717467371448722