Tampa Bay Lightning

GP: 32 | W: 18 | L: 13 | OTL: 1 | P: 37
GF: 98 | GA: 86 | PP%: 21.01% | PK%: 82.14%
DG: Stéphane Lacasse | Morale : 58 | Moyenne d'Équipe : 75
Prochain matchs #485 vs Toronto Maple Leafs
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Ryan Getzlaf (C)X100.00945584889690819279967590559395151830
2Matt DucheneX99.00685589988292959390848785558584166830
3Justin Williams (A)X99.00785583809393848871877690559398166810
4Lars EllerX100.00845585828989858285767886557574169770
5Brendan PerliniX100.00885588878787828163707878557684166760
6Jay BeagleX100.00735589759595797299716797559082166750
7Adrian KempeX100.00835580808182888276777670557573167740
8Brett ConnollyX100.00835579818082857864707772558078159730
9Dmitrij JaskinXX100.00895578897770727656686681557181156720
10Chris StewartX100.00875572769979737350667172558493166720
11Drake CaggiulaXX100.00865579867975757857657570557577166710
12Tyler BertuzziX100.00765569817372718150806673557070166710
13Charlie McAvoy (R)X99.00935577968391749425866993558080157830
14Marc-Edouard VlasicX100.00715588938892899025777193558488162820
15Brady SkjeiX100.00875586938789829025776491558180146810
16Michael Del ZottoX100.00985583858488868825726686558380155800
17Neal Pionk (R)X100.00805586865890798025756188557572144750
18Paul Martin (A)X100.00685575788276857025626070558490166710
Rayé
1Nic DowdX100.00895576777072756783626477557171130670
2Byron FroeseX100.00795565757767696974656469556476120660
3Paul PostmaX100.00695574707769586925616066556464135640
MOYENNE D'ÉQUIPE99.8682558084838379815674708155798015675
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
1Mike Smith100.0090959587909092828585559391152870
2Oscar Dansk97.0074687568727275807580657068153720
Rayé
MOYENNE D'ÉQUIPE98.508282857881818481808360828015380
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Peter Laviolette77949184897164USA5354,500,000$


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
1Matt DucheneTampa Bay LightningC32161733-4601188120519613.33%466620.824711261030001664152.58%85400000.9900000110
2Brady SkjeiTampa Bay LightningD32723301200414555203512.73%4776123.7831013311130001107010.00%000100.7900000311
3Marc-Edouard VlasicTampa Bay LightningD3062026-260243950223512.00%4774224.75461033990000108200.00%000000.7000000030
4Charlie McAvoyTampa Bay LightningD3161925069590586121359.84%4176924.8224638112000189110.00%000000.6500000121
5Lars EllerTampa Bay LightningC32815235175406377214210.39%560819.020551511301141481052.34%34200000.7600100104
6Ryan GetzlafTampa Bay LightningC28101222-3180746184176111.90%648717.41831126105000003052.05%65700000.9000000401
7Michael Del ZottoTampa Bay LightningD3041822334087385225357.69%5065721.9037103696000287000.00%000000.6700000120
8Justin WilliamsTampa Bay LightningLW3291221-4180413878267011.54%961919.3636918121000000140.48%4200000.6800000112
9Brendan PerliniTampa Bay LightningLW327815514062257226499.72%157417.9530322103000011053.19%4700000.5200000202
10Adrian KempeTampa Bay LightningLW324711521537255314357.55%147314.79011932000071048.53%6800000.4600001011
11Brett ConnollyTampa Bay LightningRW3147116161028114910388.16%245614.741231187000001034.48%2900000.4800002011
12Neal PionkTampa Bay LightningD284711516021352241618.18%4151418.37112727011186000.00%000000.4300000011
13Drake CaggiulaTampa Bay LightningC/RW324481420027294212279.52%337111.600004140001211047.27%16500000.4300000101
14Tyler BertuzziTampa Bay LightningLW32437-4801818416179.76%138311.9900000000001034.62%2600000.3600000001
15Jay BeagleTampa Bay LightningC323363005622762211.11%937311.680000010151611052.98%55300000.3200000010
16Chris StewartTampa Bay LightningRW32415020167196521.05%02016.2900000000001033.33%900000.5000000100
17Dmitrij JaskinTampa Bay LightningLW/RW32202240182216121712.50%52618.18000000000660038.46%1300000.1500000001
18Paul MartinTampa Bay LightningD3202218029765160.00%2344213.8201119000041000.00%000000.0900000000
19Nic DowdTampa Bay LightningC5011-155232000.00%1326.5700000000000034.62%2600000.6100100000
20Ryan GravesCrunch (Tam)D1000020000000.00%11111.980000000001000.00%000000.0000000000
21Duncan SiemensCrunch (Tam)D60001201313020.00%57212.030000000003000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne574102179281333063068467592930465310.98%302948216.5232538527711421231699818451.29%283100100.5900203161417
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
1Mike SmithTampa Bay Lightning26141110.9082.84152342727820010.0000265321
2Oscar DanskTampa Bay Lightning64100.9331.9231300101500000.0000517020
3Ondrej PavelecCrunch (Tam)20100.9002.0787003300000.0000110001
Stats d'équipe Total ou en Moyenne34181310.9122.65192442859620010.00003232342


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 Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Adrian KempeTampa Bay LightningLW201996-09-13No203 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm500,000$500,000$310,734$No500,000$
Brady SkjeiTampa Bay LightningD221994-03-26No205 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm500,000$500,000$310,734$No500,000$
Brendan PerliniTampa Bay LightningLW201996-04-27No212 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm900,000$900,000$559,322$No900,000$900,000$
Brett ConnollyTampa Bay LightningRW241992-05-01No181 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm500,000$500,000$310,734$No500,000$500,000$
Byron FroeseTampa Bay LightningC251991-03-12No190 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm300,000$300,000$186,441$No
Charlie McAvoyTampa Bay LightningD191997-12-21Yes207 Lbs6 ft0NoNoNo4Contrat d'EntréePro & Farm900,000$900,000$559,322$No900,000$900,000$900,000$
Chris StewartTampa Bay LightningRW291987-10-30No231 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm500,000$500,000$310,734$No500,000$
Dmitrij JaskinTampa Bay LightningLW/RW231993-03-23No196 Lbs6 ft2NoNoNo4Avec RestrictionPro & Farm500,000$500,000$310,734$No500,000$500,000$500,000$
Drake CaggiulaTampa Bay LightningC/RW221994-06-20No185 Lbs5 ft9NoNoNo3Contrat d'EntréePro & Farm300,000$300,000$186,441$No300,000$300,000$
Jay BeagleTampa Bay LightningC311985-10-16No215 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm2,000,000$2,000,000$1,242,938$No2,000,000$
Justin WilliamsTampa Bay LightningLW351981-10-04No189 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm6,100,000$6,100,000$3,790,960$No6,100,000$6,100,000$
Lars EllerTampa Bay LightningC271989-05-08No209 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm2,500,000$2,500,000$1,553,672$No2,500,000$2,500,000$
Marc-Edouard VlasicTampa Bay LightningD291987-03-30No205 Lbs6 ft1NoNoNo1Sans RestrictionPro & Farm3,500,000$3,500,000$2,175,141$No
Matt DucheneTampa Bay LightningC251991-01-15No200 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm5,000,000$5,000,000$3,107,345$No5,000,000$
Michael Del ZottoTampa Bay LightningD261990-06-23No195 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm2,500,000$2,500,000$1,553,672$No2,500,000$
Mike SmithTampa Bay LightningG341982-03-21No215 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm3,500,000$3,500,000$2,175,141$No3,500,000$
Neal PionkTampa Bay LightningD211995-07-29Yes181 Lbs5 ft11NoNoNo4Contrat d'EntréePro & Farm300,000$300,000$186,441$No300,000$300,000$300,000$
Nic DowdTampa Bay LightningC261990-05-26No175 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$500,000$310,734$No500,000$
Oscar DanskTampa Bay LightningG221994-02-27No194 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm1,000,000$1,000,000$621,469$No
Paul MartinTampa Bay LightningD351981-03-04No200 Lbs6 ft1NoNoNo2Sans RestrictionPro & Farm7,500,000$7,500,000$4,661,017$No7,500,000$
Paul PostmaTampa Bay LightningD271989-02-21No195 Lbs6 ft3NoNoNo4Avec RestrictionPro & Farm400,000$400,000$248,588$No400,000$400,000$400,000$
Ryan GetzlafTampa Bay LightningC311985-05-09No218 Lbs6 ft4NoNoNo2Sans RestrictionPro & Farm6,500,000$6,500,000$4,039,548$No6,500,000$
Tyler BertuzziTampa Bay LightningLW211995-02-24No178 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm500,000$500,000$310,734$No500,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2325.83199 Lbs6 ft12.432,030,435$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
46,700,000$41,900,000$12,400,000$2,100,000$0$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Adrian KempeMatt DucheneJustin Williams40113
2Brendan PerliniRyan GetzlafBrett Connolly30113
3Tyler BertuzziLars EllerDrake Caggiula20212
4Dmitrij JaskinJay BeagleChris Stewart10221
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Charlie McAvoyMarc-Edouard Vlasic45122
2Michael Del ZottoBrady Skjei33131
3Neal PionkPaul Martin17131
4Charlie McAvoyBrady Skjei5131
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Justin WilliamsRyan GetzlafLars Eller60113
2Brendan PerliniMatt DucheneBrett Connolly40113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Charlie McAvoyMarc-Edouard Vlasic60023
2Michael Del ZottoBrady Skjei40023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jay BeagleLars Eller60131
2Matt DucheneDmitrij Jaskin40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Charlie McAvoyBrady Skjei60131
2Michael Del ZottoNeal Pionk40131
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Jay Beagle60122Charlie McAvoyMarc-Edouard Vlasic60122
2Lars Eller40122Michael Del ZottoNeal Pionk40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Matt DucheneLars Eller60122
2Ryan GetzlafJustin Williams40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Neal PionkBrady Skjei60122
2Michael Del ZottoMarc-Edouard Vlasic40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Justin WilliamsRyan GetzlafMatt DucheneCharlie McAvoyBrady Skjei
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Lars EllerJay BeagleDmitrij JaskinNeal PionkBrady Skjei
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Adrian Kempe, Brendan Perlini, Tyler BertuzziJustin Williams, Adrian KempeDrake Caggiula
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Neal Pionk, Charlie McAvoy, Michael Del ZottoNeal PionkMarc-Edouard Vlasic, Michael Del Zotto
Tirs de Pénalité
Ryan Getzlaf, Matt Duchene, Justin Williams, Brett Connolly, Brendan Perlini
Gardien
#1 : Oscar Dansk, #2 : Mike Smith


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
1Anaheim Ducks1010000024-21010000024-20000000000000.00023500110021876034121421000.00%6183.33%0589114951.26%593117950.30%27048555.67%2417256104
2Boston Bruins1010000023-11010000023-10000000000000.000246000020297814040817234250.00%6266.67%0589114951.26%593117950.30%27048555.67%2114257126
3Buffalo Sabres211000004401010000013-21100000031220.50048120011205318142106315162810110.00%80100.00%0589114951.26%593117950.30%27048555.67%453150152412
4Carolina Hurricanes11000000211110000002110000000000021.0002460001103011712022118237228.57%40100.00%0589114951.26%593117950.30%27048555.67%2516217137
5Chicago Blackhawks21100000810-2110000004311010000047-320.50081523005120713026150602420459222.22%8362.50%0589114951.26%593117950.30%27048555.67%453048152613
6Colorado Avalanche21100000880110000004311010000045-120.50081523001340501816160791729586233.33%12283.33%0589114951.26%593117950.30%27048555.67%453149142512
7Columbus Blue Jackets1010000001-11010000001-10000000000000.0000000000002697100186418500.00%2150.00%0589114951.26%593117950.30%27048555.67%2819196116
8Detroit Red Wings211000007521010000023-11100000052320.50071219004030681922270551819428225.00%7185.71%0589114951.26%593117950.30%27048555.67%463249132412
9Edmonton Oilers11000000321110000003210000000000021.0003690002101951220331729307114.29%12191.67%0589114951.26%593117950.30%27048555.67%1911297115
10Florida Panthers3300000013211220000007161100000061561.0001323360164301113635400671727721200.00%90100.00%0589114951.26%593117950.30%27048555.67%805662213719
11Minnesota Wild11000000431000000000001100000043121.0004812001210401315120271112204125.00%6183.33%0589114951.26%593117950.30%27048555.67%2417236125
12Montreal Canadiens1000010023-1000000000001000010023-110.500246001010331471203074116233.33%220.00%0589114951.26%593117950.30%27048555.67%2517238137
13Nashville Predators2110000035-21010000015-41100000020220.50035801210039216120451422498112.50%9188.89%1589114951.26%593117950.30%27048555.67%473146152512
14New Jersey Devils312000001112-1211000008801010000034-120.3331122331031707428153101132326678450.00%13284.62%0589114951.26%593117950.30%27048555.67%694973213718
15New York Islanders11000000312110000003120000000000021.000358001020352096018108228112.50%30100.00%0589114951.26%593117950.30%27048555.67%2618216126
16New York Rangers1010000023-11010000023-10000000000000.00023500110022126403014151922100.00%5340.00%0589114951.26%593117950.30%27048555.67%2215257125
17Ottawa Senators20002000972100010005411000100043141.000916250032226718103096520234511218.18%9277.78%0589114951.26%593117950.30%27048555.67%452954162613
18Philadelphia Flyers1010000012-1000000000001010000012-100.00012300010029111080256815400.00%4175.00%0589114951.26%593117950.30%27048555.67%2315247126
19Phoenix Coyotes1010000014-3000000000001010000014-300.000112001000182115034141031200.00%4250.00%0589114951.26%593117950.30%27048555.67%1610317115
20Pittsburgh Penguins11000000422000000000001100000042221.000461000211033136140381321215120.00%40100.00%0589114951.26%593117950.30%27048555.67%2012288114
Total321613021009886121898010005148314750110047389370.5789817827612352734294033128831299632893487061382921.01%1402582.14%1589114951.26%593117950.30%27048555.67%753516778237397196
22Vancouver Canucks11000000532110000005320000000000021.0005101500221027111060269626400.00%20100.00%0589114951.26%593117950.30%27048555.67%2518237115
23Vegas Golden Knights11000000413000000000001100000041321.0004610000310457299041310208337.50%50100.00%0589114951.26%593117950.30%27048555.67%2518217126
_Since Last GM Reset321613021009886121898010005148314750110047389370.5789817827612352734294033128831299632893487061382921.01%1402582.14%1589114951.26%593117950.30%27048555.67%753516778237397196
_Vs Conference2098021006046141256010003228484201100281810230.575601091691122122426102161562299584168196406901921.11%761481.58%0589114951.26%593117950.30%27048555.67%479330479147250125
_Vs Division115302100372413623010001714353001100201010150.6823767104011571323611129614493208510622151917.65%41782.93%0589114951.26%593117950.30%27048555.67%2641822648213970

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3237L19817827694096328934870612
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
32161321009886
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
189810005148
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
147511004738
Derniers 10 Matchs
WLOTWOTL SOWSOL
460000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1382921.01%1402582.14%1
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
33128831293527342
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
589114951.26%593117950.30%27048555.67%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
753516778237397196


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
4 - 2018-09-0827Florida Panthers0Tampa Bay Lightning4WSommaire du Match
9 - 2018-09-1356Vancouver Canucks3Tampa Bay Lightning5WSommaire du Match
10 - 2018-09-1469Columbus Blue Jackets1Tampa Bay Lightning0LSommaire du Match
13 - 2018-09-1783Carolina Hurricanes1Tampa Bay Lightning2WSommaire du Match
15 - 2018-09-1996Detroit Red Wings3Tampa Bay Lightning2LSommaire du Match
17 - 2018-09-21107Tampa Bay Lightning4Minnesota Wild3WSommaire du Match
18 - 2018-09-22116Tampa Bay Lightning4Chicago Blackhawks7LSommaire du Match
21 - 2018-09-25130Tampa Bay Lightning4Colorado Avalanche5LSommaire du Match
23 - 2018-09-27147Tampa Bay Lightning4Vegas Golden Knights1WSommaire du Match
24 - 2018-09-28148Tampa Bay Lightning1Phoenix Coyotes4LSommaire du Match
27 - 2018-10-01177New Jersey Devils2Tampa Bay Lightning4WSommaire du Match
29 - 2018-10-03190Nashville Predators5Tampa Bay Lightning1LSommaire du Match
31 - 2018-10-05199Tampa Bay Lightning2Montreal Canadiens3LXSommaire du Match
32 - 2018-10-06209Tampa Bay Lightning4Ottawa Senators3WXSommaire du Match
34 - 2018-10-08222Edmonton Oilers2Tampa Bay Lightning3WR3Sommaire du Match
36 - 2018-10-10235New York Islanders1Tampa Bay Lightning3WSommaire du Match
38 - 2018-10-12252Ottawa Senators4Tampa Bay Lightning5WXSommaire du Match
41 - 2018-10-15264Tampa Bay Lightning3Buffalo Sabres1WSommaire du Match
43 - 2018-10-17284Tampa Bay Lightning4Pittsburgh Penguins2WSommaire du Match
45 - 2018-10-19300Tampa Bay Lightning1Philadelphia Flyers2LSommaire du Match
47 - 2018-10-21310Tampa Bay Lightning2Nashville Predators0WSommaire du Match
49 - 2018-10-23330Florida Panthers1Tampa Bay Lightning3WSommaire du Match
50 - 2018-10-24344Chicago Blackhawks3Tampa Bay Lightning4WSommaire du Match
52 - 2018-10-26361New Jersey Devils6Tampa Bay Lightning4LSommaire du Match
54 - 2018-10-28374Anaheim Ducks4Tampa Bay Lightning2LSommaire du Match
56 - 2018-10-30387Buffalo Sabres3Tampa Bay Lightning1LSommaire du Match
58 - 2018-11-01398Tampa Bay Lightning6Florida Panthers1WSommaire du Match
60 - 2018-11-03414Tampa Bay Lightning3New Jersey Devils4LSommaire du Match
61 - 2018-11-04418Tampa Bay Lightning5Detroit Red Wings2WSommaire du Match
63 - 2018-11-06436Boston Bruins3Tampa Bay Lightning2LSommaire du Match
65 - 2018-11-08453Colorado Avalanche3Tampa Bay Lightning4WSommaire du Match
67 - 2018-11-10464New York Rangers3Tampa Bay Lightning2LSommaire du Match
70 - 2018-11-13485Toronto Maple Leafs-Tampa Bay Lightning-
73 - 2018-11-16511Tampa Bay Lightning-Winnipeg Jets-
75 - 2018-11-18527Tampa Bay Lightning-Vancouver Canucks-
77 - 2018-11-20534Tampa Bay Lightning-Calgary Flames-
79 - 2018-11-22551Tampa Bay Lightning-Edmonton Oilers-
81 - 2018-11-24576Philadelphia Flyers-Tampa Bay Lightning-
83 - 2018-11-26595Montreal Canadiens-Tampa Bay Lightning-
85 - 2018-11-28599Tampa Bay Lightning-Anaheim Ducks-
88 - 2018-12-01623Tampa Bay Lightning-Los Angeles Kings-
90 - 2018-12-03642Tampa Bay Lightning-San Jose Sharks-
93 - 2018-12-06664Columbus Blue Jackets-Tampa Bay Lightning-
95 - 2018-12-08680Carolina Hurricanes-Tampa Bay Lightning-
97 - 2018-12-10687Tampa Bay Lightning-Buffalo Sabres-
98 - 2018-12-11702Tampa Bay Lightning-New York Islanders-
100 - 2018-12-13712Tampa Bay Lightning-Dallas Stars-
102 - 2018-12-15732Toronto Maple Leafs-Tampa Bay Lightning-
104 - 2018-12-17749San Jose Sharks-Tampa Bay Lightning-
111 - 2018-12-24777Tampa Bay Lightning-Pittsburgh Penguins-
113 - 2018-12-26786Tampa Bay Lightning-New York Islanders-
114 - 2018-12-27796Tampa Bay Lightning-New York Rangers-
117 - 2018-12-30818Vegas Golden Knights-Tampa Bay Lightning-
119 - 2019-01-01835St. Louis Blues-Tampa Bay Lightning-
121 - 2019-01-03848Pittsburgh Penguins-Tampa Bay Lightning-
122 - 2019-01-04855Tampa Bay Lightning-Florida Panthers-
124 - 2019-01-06872Calgary Flames-Tampa Bay Lightning-
126 - 2019-01-08885Dallas Stars-Tampa Bay Lightning-
128 - 2019-01-10901Montreal Canadiens-Tampa Bay Lightning-
130 - 2019-01-12910Tampa Bay Lightning-Columbus Blue Jackets-
131 - 2019-01-13923Tampa Bay Lightning-Philadelphia Flyers-
133 - 2019-01-15937Buffalo Sabres-Tampa Bay Lightning-
137 - 2019-01-19965Los Angeles Kings-Tampa Bay Lightning-
139 - 2019-01-21982Tampa Bay Lightning-New York Rangers-
140 - 2019-01-22985Tampa Bay Lightning-Boston Bruins-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
142 - 2019-01-241007Ottawa Senators-Tampa Bay Lightning-
145 - 2019-01-271028Winnipeg Jets-Tampa Bay Lightning-
147 - 2019-01-291043Minnesota Wild-Tampa Bay Lightning-
149 - 2019-01-311058Detroit Red Wings-Tampa Bay Lightning-
151 - 2019-02-021071Tampa Bay Lightning-Toronto Maple Leafs-
154 - 2019-02-051085Tampa Bay Lightning-Detroit Red Wings-
156 - 2019-02-071109Washington Capitals-Tampa Bay Lightning-
158 - 2019-02-091121Phoenix Coyotes-Tampa Bay Lightning-
160 - 2019-02-111135Tampa Bay Lightning-Washington Capitals-
161 - 2019-02-121136Tampa Bay Lightning-Carolina Hurricanes-
163 - 2019-02-141159Tampa Bay Lightning-St. Louis Blues-
165 - 2019-02-161175Boston Bruins-Tampa Bay Lightning-
170 - 2019-02-211212Washington Capitals-Tampa Bay Lightning-
172 - 2019-02-231226Tampa Bay Lightning-Ottawa Senators-
173 - 2019-02-241236Tampa Bay Lightning-Montreal Canadiens-
175 - 2019-02-261251Tampa Bay Lightning-Toronto Maple Leafs-
177 - 2019-02-281258Tampa Bay Lightning-Boston Bruins-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna60005000200040001000
Prix des Billets115604020225
Assistance76,22585,62626,26669,68713,339
Attendance PCT70.58%95.14%72.96%96.79%74.11%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
23 15064 - 83.69% 967,455$17,414,185$18000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
18,404,126$ 46,700,000$ 35,944,000$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
46,700,000$ 16,663,997$ 0$ 23 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
22,251,459$ 110 289,266$ 31,819,260$

Total de l'Équipe Éstimé
Dépenses de la Saison ÉstiméesCap Salarial de la Saison ÉstiméCompte Bancaire ActuelCompte Bancaire Projeté
31,994,139$ 46,700,000$ 241,741,443$ 231,998,763$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Justin WilliamsAGE:35PO:1OV:81
Brendan PerliniAGE:20PO:1OV:76
Adrian KempeAGE:20PO:1OV:74
Dmitrij JaskinAGE:23PO:1OV:72
Tyler BertuzziAGE:21PO:1OV:71
Reid BoucherAGE:23PO:1OV:67
Nikolay KuleminAGE:30PO:1OV:66
Matt PuempelAGE:23PO:1OV:60
*Francis PerronAGE:20PO:1OV:58
Colin GreeningAGE:30PO:1OV:54
Michael ZalewskiAGE:24PO:1OV:52
Ryan MaloneAGE:37PO:1OV:52
*Spencer WatsonAGE:20PO:1OV:52
Sam HenleyAGE:23PO:1OV:52
Ryan GetzlafAGE:31PO:1OV:83
Matt DucheneAGE:25PO:1OV:83
Lars EllerAGE:27PO:1OV:77
Jay BeagleAGE:31PO:1OV:75
Drake CaggiulaAGE:22PO:1OV:71
Nic DowdAGE:26PO:1OV:67
Byron FroeseAGE:25PO:1OV:66
Austin CzarnikAGE:24PO:1OV:65
Freddie HamiltonAGE:25PO:1OV:62
Kevin PorterAGE:30PO:1OV:61
Tyler GraovacAGE:23PO:1OV:60
Chase De LeoAGE:21PO:1OV:57
Henrik SamuelssonAGE:22PO:1OV:56
*Nathan BastianAGE:19PO:1OV:53
Brett ConnollyAGE:24PO:1OV:73
Dmitrij JaskinAGE:23PO:1OV:72
Chris StewartAGE:29PO:1OV:72
Drake CaggiulaAGE:22PO:1OV:71
Reid BoucherAGE:23PO:1OV:67
Nikolay KuleminAGE:30PO:1OV:66
Borna RendulicAGE:24PO:1OV:55
*Nathan BastianAGE:19PO:1OV:53
*Spencer WatsonAGE:20PO:1OV:52

Défense #1Défense #2Gardien
*Charlie McAvoyAGE:19PO:1OV:83
Marc-Edouard VlasicAGE:29PO:1OV:82
Brady SkjeiAGE:22PO:1OV:81
Michael Del ZottoAGE:26PO:1OV:80
*Neal PionkAGE:21PO:1OV:75
Paul MartinAGE:35PO:1OV:71
Jason GarrisonAGE:32PO:1OV:68
Duncan SiemensAGE:23PO:1OV:66
Paul PostmaAGE:27PO:1OV:64
Jeff SchultzAGE:30PO:1OV:60
Mat BodieAGE:26PO:1OV:57
Ryan GravesAGE:21PO:1OV:56
Nate GueninAGE:34PO:1OV:55
Kevin CzuczmanAGE:26PO:1OV:54
*Lukas BengtssonAGE:22PO:1OV:54
*Brandon CrawleyAGE:19PO:1OV:54
Nick EbertAGE:22PO:1OV:54
Mike SmithAGE:34PO:1OV:87
Oscar DanskAGE:22PO:1OV:72
Ondrej PavelecAGE:29PO:1OV:69
Adin HillAGE:20PO:1OV:64
Jamie PhillipsAGE:23PO:1OV:63

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
Christopher WilkieTampa Bay Lightning11164
Joni TuulolaTampa Bay Lightning11154
Mason ShawTampa Bay Lightning1365
Owen TippettTampa Bay Lightning1315
Urho VaakanainenTampa Bay Lightning1343

Choix au Repêchage

Année R1R2R3R4R5R6
14Tam Tam
15Tam Tam Ott Tam Tam
16Tam Tam Tam Tam Tam
17Tam Tam Tam Tam Tam Tam
18Tam Tam Tam Tam Tam Tam



[2018-12-04 15:05:14] - Crunch GM Stats have been reset.
[2018-12-03 18:11:09] - TRADE : From Tampa Bay Lightning to Boston Bruins : John Moore (78), Y:15-RND:2-Tam.
[2018-12-03 18:11:09] - TRADE : From Boston Bruins to Tampa Bay Lightning : Marc-Edouard Vlasic (82), Y:15-RND:4-Ott.
[2018-09-29 10:53:51] - Team Name Change : Syracuse Crunch changed name to Crunch
[2018-09-10 12:43:08] - Justin Williams has been selected as assistant for Tampa Bay Lightning.
[2018-09-10 12:43:08] - Unknown Player is no longer as assistant for Tampa Bay Lightning.
[2018-09-10 12:43:08] - Ryan Getzlaf has been selected as captain for Tampa Bay Lightning.
[2018-09-10 12:43:08] - Matt Duchene is no longer captain for Tampa Bay Lightning.
[2018-09-05 12:45:17] - Nathan Paetsch was released.
[2018-09-05 12:45:17] - Marc-Andre Bergeron was released.
[2018-09-03 13:39:52] - TRADE : From Calgary Flames to Tampa Bay Lightning : Justin Williams.
[2018-08-25 19:29:59] - Neal Pionk was added to Tampa Bay Lightning.
[2018-08-25 10:11:05] - Tampa Bay Lightning hired Peter Laviolette for 4 500 000 $ for 5 year(s).
[2018-08-25 10:10:55] - Tampa Bay Lightning fired Peter DeBoer.
[2018-07-26 18:37:51] - TRADE : From Tampa Bay Lightning to Pittsburgh Penguins : Frank Vatrano.
[2018-07-26 18:37:51] - TRADE : From Pittsburgh Penguins to Tampa Bay Lightning : Chris Stewart, Jay Beagle.
[2018-07-26 08:12:45] - Zach Boychuk has been deleted from Tampa Bay Lightning.
[2018-07-26 08:12:42] - Rasmus Tirronen has been deleted from Tampa Bay Lightning.
[2018-07-26 08:12:39] - Mike Zalewski has been deleted from Tampa Bay Lightning.
[2018-07-26 08:12:36] - Matt Ellis has been deleted from Tampa Bay Lightning.
[2018-07-26 08:12:33] - Jedd Soleway has been deleted from Tampa Bay Lightning.
[2018-07-26 08:12:29] - Charles McAvoy has been deleted from Tampa Bay Lightning.
[2018-07-26 08:12:26] - Brandon Crawley has been deleted from Tampa Bay Lightning.
[2018-07-17 15:24:34] - TRADE : From Tampa Bay Lightning to Nashville Predators : Nicholas Merkley, Y:15-RND:1-Tam.
[2018-07-17 15:24:34] - TRADE : From Nashville Predators to Tampa Bay Lightning : Ryan Getzlaf.
[2018-07-17 15:22:35] - Oscar Dansk was added to Tampa Bay Lightning.
[2018-07-17 15:18:34] - Ryan Malone was added to Tampa Bay Lightning.
[2018-07-17 15:18:22] - Charlie McAvoy was added to Tampa Bay Lightning.
[2018-07-17 15:18:12] - Brandon Crawley was added to Tampa Bay Lightning.
[2018-07-16 20:17:28] - Tampa Bay Lightning drafts Brandon Crawley as the #158 overall pick in the Entry Draft of year 13.



[2018-12-10 13:56:18] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.5.5
[2018-12-06 10:51:40] Dmitrij Jaskin from Tampa Bay Lightning is back from Right Foot Injury.
[2018-12-06 10:51:39] Game 436 - Dmitrij Jaskin from Tampa Bay Lightning is injured (Right Foot) and is out for 2 days.
[2018-12-06 10:50:41] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.5.5
[2018-12-04 15:05:18] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.5.5
[2018-12-04 15:05:14] Crunch GM Stats have been reset.
[2018-12-04 15:05:14] Paul Postma of Tampa Bay Lightning was sent to pro.
[2018-12-04 15:05:14] Duncan Siemens of Tampa Bay Lightning was sent down to farm.
[2018-12-04 15:05:12] Tampa Bay Lightning placed Ondrej Pavelec on waivers.
[2018-12-03 18:11:09] TRADE : From Tampa Bay Lightning to Boston Bruins : John Moore (78), Y:15-RND:2-Tam.
[2018-12-03 18:11:09] TRADE : From Boston Bruins to Tampa Bay Lightning : Marc-Edouard Vlasic (82), Y:15-RND:4-Ott.
[2018-12-03 18:08:17] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.5.5
[2018-12-02 13:08:18] Auto Lines Partial Function has been run for Crunch.
[2018-12-02 13:08:18] Auto Roster Farm Only Function has been run for Tampa Bay Lightning.
[2018-11-27 08:48:00] Adin Hill from Crunch is back from Exhaustion.
[2018-11-27 08:47:30] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.5.5
[2018-11-27 08:47:22] Tampa Bay Lightning placed Ondrej Pavelec on waivers.
[2018-11-26 09:36:12] Adin Hill from Crunch injured (Exhaustion)
[2018-11-23 16:37:38] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.2.2
[2018-11-21 22:26:50] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.2.2
[2018-11-19 12:23:53] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.2.2
[2018-11-19 12:23:53] Ryan Graves of Tampa Bay Lightning was sent down to farm.
[2018-11-17 13:58:12] Michael Del Zotto from Tampa Bay Lightning is back from Sprained Left Knee Injury.
[2018-11-17 13:58:12] Charlie McAvoy from Tampa Bay Lightning completes suspension
[2018-11-17 13:56:22] Auto Lines Partial Function has been run for Crunch.
[2018-11-17 13:56:21] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.2.2
[2018-11-17 13:56:20] Ryan Graves of Tampa Bay Lightning was sent to pro.
[2018-11-16 16:23:08] Ryan Getzlaf from Tampa Bay Lightning is back from Fractured Right Foot Injury.
[2018-11-15 10:41:27] Game 284 - Charlie McAvoy from Tampa Bay Lightning suspended for 1 game(s)
[2018-11-15 10:40:45] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.2.2
[2018-11-14 11:53:36] Game 264 - Michael Del Zotto from Tampa Bay Lightning is injured (Sprained Left Knee) and is out for 1 week.
[2018-11-12 10:32:06] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.2.2
[2018-11-09 11:58:24] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.2.2
[2018-11-08 16:09:03] Game 235 - Ryan Getzlaf from Tampa Bay Lightning is injured (Fractured Right Foot) and is out for 1 week.
[2018-11-08 16:07:53] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.2.2
[2018-11-06 15:08:50] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.2.2
[2018-11-04 09:21:13] Neal Pionk from Tampa Bay Lightning is back from Sprained Right Ankle Injury.
[2018-11-04 09:20:55] Auto Lines Partial Function has been run for Crunch.
[2018-11-04 09:20:53] Successfully loaded Tampa Bay Lightning lines done with STHS Client - 3.1.5.5
[2018-11-04 09:20:50] Paul Postma of Tampa Bay Lightning was sent down to farm.
[2018-11-04 09:20:50] Duncan Siemens of Tampa Bay Lightning was sent to pro.



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
13321613021009886121898010005148314750110047389379817827612352734294033128831299632893487061382921.01%1402582.14%1589114951.26%593117950.30%27048555.67%753516778237397196
Total Saison Régulière321613021009886121898010005148314750110047389379817827612352734294033128831299632893487061382921.01%1402582.14%1589114951.26%593117950.30%27048555.67%753516778237397196