Truites

GP: 84 | W: 59 | L: 17 | OTL: 8 | P: 126
GF: 287 | GA: 200 | PP%: 17.19% | PK%: 78.57%
DG: Francois Bedard | Morale : 95 | Moyenne d'Équipe : 78
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
1Leon Draisaitl0XXX100.0042662107195798986899479826365091860
2Logan Couture0XXX100.00512569217089688469858780887675082820
3Dylan Larkin0XXX100.00512653226295758491868681775051091810
4Ryan Nugent-Hopkins0XX100.00472467235390658275858680826170091800
5Zach Parise0X100.00452466236685448336838676978182085790
6Mats Zuccarello0XX100.00532365245189568036868579947456086780
7Thomas Vanek0XX100.00462259268366567836828557888565089750
8Pavel Buchnevich0XX100.00562973296670687735828464734847091730
9Scott Laughton0XX100.00793653416163777077798172725561041710
10Jujhar Khaira0X100.00814254438358676762798166714555053690
11Matt Martin0XX100.00924949509149716352778052697067053680
12Jacob Trouba0X100.00623159417281698725897876565350091760
13Brady Skjei0X100.00812463447975798478847770625344072740
14Marc Staal0X100.00613066498469597921817478688087022740
15Nikita Zaitsev0X100.00772969486573757928817479636153049740
16Brett Pesce0X100.00531870447274708463867875604437053730
17Mark Borowiecki0XX100.00964835498355448031807465595565053690
Rayé
1Claude Giroux0XXX100.00383070145794788985948687947992087860
2Jonathan Huberdeau0XXX100.00443065166789728959908874886064087830
3Eric Staal0XX97.60432463248284768287838673788993082820
4Aleksander Barkov0X100.00371177167798678994918794885750079820
5Matt Duchene0XX93.97432576196187698490858872907368065810
6Keith Yandle0X100.00453065366682809221967972697878087820
7Rasmus Ristolainen0X100.00822766398191758826917881806151082810
8Torey Krug0X100.00573066335175689424978050766158087800
9Aaron Ekblad0X100.00583062428285778626857879695571078790
MOYENNE D'ÉQUIPE99.6258286332717969825486827477646407478
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
1Sergei Bobrovsky100.0098849684989696979676958579091900
2David Rittich100.0092948987949394959564683852091850
Rayé
MOYENNE D'ÉQUIPE100.009589938696959596967082626609188
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Patrick Roy79847854636270CAN531450,000$


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
1Leon DraisaitlTruitesC/LW/RW8261621235940092922867816921.33%27147317.9715264167338000037560.92%871011011.670100001497
2Claude GirouxTruitesC/LW/RW82377411157260361402657114913.96%32150918.4111213277340000069454.18%1388710001.47111000799
3Jonathan HuberdeauTruitesC/LW/RW823860985230079692667615814.29%25143417.4910182873347000028032.58%89257021.375110003144
4Dylan LarkinTruitesC/LW/RW84233962156601421312126713410.85%41145617.3486145423711221463056.46%6661516000.8500000352
5Logan CoutureTruitesC/LW/RW772424482522074931644510814.63%46117615.28347121270114597052.05%7376010.8200000413
6Matt DucheneTruitesC/RW82212748-316032911987914810.61%31143617.52111122442730003582256.85%4821413000.67111000242
7Keith YandleTruitesD825384329280609011659544.31%76167020.37191037282000121000.00%02612000.5100000211
8Aleksander BarkovTruitesC63122840181201616213941758.63%57110017.46033755101102551156.02%1030413000.7300000203
9Jacob TroubaTruitesD831026364150016211111750638.55%85174421.025914393421342131320.00%01221000.4100000125
10Torey KrugTruitesD8282836221601462313446565.97%20165720.226101658368000127210.00%0265000.4300000114
11Zach PariseTruitesLW7412203219220597116462997.32%34116515.751231814302251266024.49%491011000.5500000314
12Ryan Nugent-HopkinsTruitesC/LW84111425-82206112112140889.09%41115213.72246118120251561146.25%547139000.4300000301
13Aaron EkbladTruitesD7831922254401431379034463.33%93167221.45112201550222231000.00%01417000.2600000022
14Eric StaalTruitesC/LW741110215220459212828678.59%2586011.6320212780112871159.12%52169000.4900000101
15Thomas VanekTruitesLW/RW80812209320552610425557.69%1381410.181121450000191130.77%2691000.4913000002
16Pavel BuchnevichTruitesLW/RW83514196120833712145734.13%1391010.97000548000002030.51%59145000.4200000012
17Rasmus RistolainenTruitesD6631417243801771087333324.11%83129219.580003181122181100.00%01614000.2600000012
18Mats ZuccarelloTruitesLW/RW6351015-622074709036645.56%2587613.91011121500000241136.36%3363000.3423000010
19Brady SkjeiTruitesD581101116440132573927232.56%53103817.900111100004186010.00%067000.2100000000
20Nikita ZaitsevTruitesD46022512082673513130.00%5480917.600001110001150000.00%0010000.0500000000
21Brett PesceTruitesD2011100154000.00%34522.840113800003000.00%000000.4400000000
22Scott LaughtonTruitesC/LW14101-2100171019575.26%514910.68000010002170034.78%2311000.1300000001
23Mark BorowieckiTruitesLW/D2011100442030.00%14221.150110800006000.00%000000.4700000000
24Marc StaalTruitesD51012206841225.00%139418.830000000019000.00%000000.2100000000
25Jujhar KhairaTruitesLW2000-100600110.00%0189.240000000000000.00%220000.0000000000
26Matt MartinTruitesLW/RW2000-120402000.00%0168.470000000000000.00%100000.0000000000
27Pontus AbergLeftovers (Tru)LW/RW3000-220232010.00%0227.59000000000000100.00%100000.0000000000
Stats d'équipe Total ou en Moyenne15353005338334085920179018182895962168810.36%8962564216.7177129206555347461117471914552053.56%5077243201040.651049000465255
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
1Sergei BobrovskyTruites70471670.9232.3342492416521431088300.6673370141162
2David RittichTruites1412110.9312.058500129419221000.66761470212
Stats d'équipe Total ou en Moyenne84591780.9242.2850992519425621309300.6673984841374


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
Aaron EkbladTruitesD231996-02-07No220 Lbs193 CMNoNoNo1Pro & Farm3,775,000$3,775,000$0$NoLien / Lien NHL
Aleksander BarkovTruitesC241995-09-02No213 Lbs191 CMNoNoNo4Pro & Farm5,900,000$5,900,000$0$No5,900,000$5,900,000$5,900,000$Lien / Lien NHL
Brady SkjeiTruitesD251994-03-26No214 Lbs191 CMNoNoNo1Pro & Farm925,000$925,000$0$NoLien / Lien NHL
Brett PesceTruitesD241994-11-15No206 Lbs191 CMNoNoNo1Pro & Farm809,167$809,167$0$NoLien / Lien NHL
Claude GirouxTruitesC/LW/RW311988-01-12No185 Lbs180 CMNoNoNo4Pro Only9,000,000$9,000,000$0$No9,000,000$9,000,000$9,000,000$Lien / Lien NHL
David RittichTruitesG271992-08-19No206 Lbs191 CMNoNoNo2Pro & Farm800,000$800,000$0$No800,000$Lien
Dylan LarkinTruitesC/LW/RW231996-07-30No198 Lbs185 CMNoNoNo1Pro & Farm1,425,000$1,425,000$0$NoLien / Lien NHL
Eric StaalTruitesC/LW341984-10-29No207 Lbs193 CMNoNoNo1Pro Only11,880,000$11,880,000$0$NoLien / Lien NHL
Jacob TroubaTruitesD251994-02-26No202 Lbs191 CMNoNoNo2Pro & Farm3,000,000$3,000,000$0$No3,000,000$Lien / Lien NHL
Jonathan HuberdeauTruitesC/LW/RW261993-06-04No200 Lbs185 CMNoNoNo5Pro & Farm5,900,000$5,900,000$0$No5,900,000$5,900,000$5,900,000$5,900,000$Lien / Lien NHL
Jujhar KhairaTruitesLW251994-08-13No212 Lbs193 CMNoNoNo1Pro & Farm675,000$675,000$0$NoLien / Lien NHL
Keith YandleTruitesD331986-09-09No191 Lbs185 CMNoNoNo1Pro Only7,620,000$7,620,000$0$NoLien / Lien NHL
Leon DraisaitlTruitesC/LW/RW231995-10-27No208 Lbs188 CMNoNoNo1Pro & Farm3,400,000$3,400,000$0$NoLien / Lien NHL
Logan CoutureTruitesC/LW/RW301989-03-28No200 Lbs185 CMNoNoNo3Pro Only6,000,000$6,000,000$0$No6,000,000$6,000,000$Lien / Lien NHL
Marc StaalTruitesD321987-01-13No213 Lbs193 CMNoNoNo2Pro Only666,666$666,666$0$No666,666$Lien / Lien NHL
Mark BorowieckiTruitesLW/D301989-07-12No207 Lbs185 CMNoNoNo2Pro & Farm1,440,000$1,440,000$0$No1,440,000$Lien / Lien NHL
Mats ZuccarelloTruitesLW/RW321987-09-01No184 Lbs173 CMNoNoNo3Pro Only5,400,000$5,400,000$0$No5,400,000$5,400,000$Lien / Lien NHL
Matt DucheneTruitesC/RW281991-01-16No195 Lbs180 CMNoNoNo3Pro & Farm6,000,000$6,000,000$0$No6,000,000$6,000,000$Lien / Lien NHL
Matt MartinTruitesLW/RW301989-05-08No220 Lbs191 CMNoNoNo1Pro & Farm650,000$650,000$0$NoLien / Lien NHL
Nikita ZaitsevTruitesD271991-10-29No193 Lbs188 CMNoNoNo5Pro & Farm4,500,000$4,500,000$0$No4,500,000$4,500,000$4,500,000$4,500,000$Lien / Lien NHL
Pavel BuchnevichTruitesLW/RW241995-04-17No196 Lbs191 CMNoNoNo2Pro & Farm925,000$925,000$0$No925,000$Lien / Lien NHL
Rasmus RistolainenTruitesD241994-10-27No215 Lbs193 CMNoNoNo4Pro & Farm5,400,000$5,400,000$0$No5,400,000$5,400,000$5,400,000$Lien / Lien NHL
Ryan Nugent-HopkinsTruitesC/LW261993-04-12No184 Lbs183 CMNoNoNo3Pro & Farm6,000,000$6,000,000$0$No6,000,000$6,000,000$Lien / Lien NHL
Scott LaughtonTruitesC/LW251994-05-30No190 Lbs185 CMNoNoNo1Pro & Farm962,500$962,500$0$NoLien / Lien NHL
Sergei BobrovskyTruitesG311988-09-20No182 Lbs188 CMNoNoNo4Pro Only8,910,000$8,910,000$0$No8,910,000$8,910,000$8,910,000$Lien / Lien NHL
Thomas VanekTruitesLW/RW351984-01-19No214 Lbs188 CMNoNoNo2Pro & Farm650,000$650,000$0$No650,000$Lien
Torey KrugTruitesD281991-04-12No186 Lbs175 CMNoNoNo1Pro & Farm5,250,000$5,250,000$0$NoLien / Lien NHL
Zach PariseTruitesLW351984-07-28No193 Lbs180 CMNoNoNo1Pro Only9,045,600$9,045,600$0$NoLien / Lien NHL
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2827.86201 Lbs188 CM2.214,175,319$

Somme Salaire 1e Année Somme Salaire 2e Année Somme Salaire 3e Année Somme Salaire 4e Année Somme Salaire 5e Année
116,908,933$70,491,666$63,010,000$39,610,000$10,400,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Zach PariseDylan LarkinLeon Draisaitl33113
2Logan CoutureMats Zuccarello28122
3Pavel BuchnevichRyan Nugent-HopkinsThomas Vanek26122
4Jujhar KhairaScott LaughtonMatt Martin13221
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jacob TroubaMarc Staal40122
2Brady SkjeiBrett Pesce35122
3Nikita ZaitsevMark Borowiecki25122
4Mark BorowieckiNikita Zaitsev0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Leon DraisaitlRyan Nugent-HopkinsThomas Vanek60122
2Logan CoutureDylan Larkin40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brett PesceMark Borowiecki60122
2Jacob TroubaBrady Skjei40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Scott LaughtonRyan Nugent-Hopkins60122
2Dylan LarkinZach Parise40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Nikita ZaitsevMark Borowiecki60122
2Brett PesceBrady Skjei40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Brady SkjeiBrett Pesce60122
2Dylan Larkin40122Mark BorowieckiNikita Zaitsev40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Scott LaughtonLeon Draisaitl60122
2Logan CoutureZach Parise40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Brady SkjeiBrett Pesce60122
2Mark BorowieckiBrady Skjei40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Leon DraisaitlDylan LarkinLogan CoutureBrett PesceJacob Trouba
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Dylan LarkinLogan CoutureBrady SkjeiJacob Trouba
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Pavel Buchnevich, , Ryan Nugent-HopkinsPavel Buchnevich, Ryan Nugent-Hopkins
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Jacob Trouba, Brady Skjei, Mark BorowieckiJacob TroubaBrady Skjei, Mark Borowiecki
Tirs de Pénalité
Matt Martin, Leon Draisaitl, Zach Parise, Mats Zuccarello, Logan Couture
Gardien
#1 : David Rittich, #2 : Sergei Bobrovsky
Lignes d'Attaque Perso. en Prol.
Matt Martin, Leon Draisaitl, Pavel Buchnevich, Thomas Vanek, Logan Couture, Dylan Larkin, Dylan Larkin, , Ryan Nugent-Hopkins, Zach Parise, Mats Zuccarello
Lignes de Défense Perso. en Prol.
Brett Pesce, Marc Staal, Mark Borowiecki, Nikita Zaitsev, Jacob Trouba


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
1Casse-Pied6410000125151033000000187113110000178-190.75025446901691001924674705191763611625624.00%17476.47%01012189753.35%980179654.57%550103952.94%13485137499347
2Cousin65001000266203300000016214320010001046121.00026497501911511735163572143563413628725.00%17194.12%01012189753.35%980179654.57%550103952.94%14593120499649
3Expos65000001231310330000001275320000011165110.9172341640068902166971745167573212925520.00%16475.00%01012189753.35%980179654.57%550103952.94%161110114468846
4Goblins6500000124159330000001376320000011183110.91724467000810601815575486212635212715426.67%26676.92%11012189753.35%980179654.57%550103952.94%13283140509245
5Hellpepitos622001011519-431100100911-23110000168-260.500152742009331191645965819366501302114.76%25772.00%01012189753.35%980179654.57%550103952.94%14291131499146
6Hoodlums63102000181623110100089-1320010001073100.833183351008622206706863517458381422214.55%19478.95%11012189753.35%980179654.57%550103952.94%14694124459047
7Icefield612010111417-330200001815-73100101062470.58314223601552519956696519195546412343818.60%32681.25%01012189753.35%980179654.57%550103952.94%14794135528643
8Kings66000000259163300000013310330000001266121.00025467101136602168349840166401814641717.07%90100.00%01012189753.35%980179654.57%550103952.94%158104109489150
9Lycans63200001191543200000112753120000078-170.5831937560067601846570484192763611520210.00%18572.22%01012189753.35%980179654.57%550103952.94%13789138498944
10Moose63100110181623200001010733110010089-190.7501831490057512186382725184632811127518.52%14378.57%01012189753.35%980179654.57%550103952.94%151101125469047
11Outlaws62300010181623020001078-132100000118360.500183250006831197736954418968401311715.88%20670.00%11012189753.35%980179654.57%550103952.94%14391129489246
12Patriots64000020281315330000001569310000201376121.000285078001268419968606414190785213331929.03%25676.00%11012189753.35%980179654.57%550103952.94%14293132509447
13Piranhas633000001617-13210000076131200000911-260.5001629450166401986882480181477011735411.43%35974.29%11012189753.35%980179654.57%550103952.94%14291132508542
Total8450170425628720087422880112215810256422290313412998311260.75028751780405107947715276989795688077256287259217723846617.19%2946378.57%61012189753.35%980179654.57%550103952.94%2030131917986891272649
15Warpath64200000181353210000010733210000086280.6671830480082801996665680185704211634617.65%21290.48%11012189753.35%980179654.57%550103952.94%14595127508644
_Since Last GM Reset8450170425628720087422880112215810256422290313412998311260.75028751780405107947715276989795688077256287259217723846617.19%2946378.57%61012189753.35%980179654.57%550103952.94%2030131917986891272649
_Vs Conference4226902023147935421145000118148332112402012664521630.75014726341005515339713914464774523512323982948982143817.76%1463079.45%21012189753.35%980179654.57%550103952.94%1033671879346635326
_Vs Division181050101155431295300001282449520101027198250.6945597152032417125613207200197195421411523861191915.97%761580.26%11012189753.35%980179654.57%550103952.94%448290377151264136

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
84126W428751780427692562872592177205
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8450174256287200
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
422881122158102
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
42229313412998
Derniers 10 Matchs
WLOTWOTL SOWSOL
720001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3846617.19%2946378.57%6
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
89795688077107947715
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
1012189753.35%980179654.57%550103952.94%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2030131917986891272649


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 - 2019-10-061Truites2Patriots1WXXSommaire du Match
3 - 2019-10-089Outlaws3Truites2LSommaire du Match
4 - 2019-10-0913Truites3Hoodlums2WXSommaire du Match
6 - 2019-10-1121Kings1Truites3WSommaire du Match
8 - 2019-10-1327Truites2Casse-Pied0WSommaire du Match
10 - 2019-10-1533Truites2Lycans3LSommaire du Match
12 - 2019-10-1744Truites2Piranhas3LR3Sommaire du Match
14 - 2019-10-1947Truites0Hellpepitos3LSommaire du Match
16 - 2019-10-2155Expos3Truites4WSommaire du Match
17 - 2019-10-2259Truites2Icefield1WXSommaire du Match
22 - 2019-10-2775Truites3Warpath1WSommaire du Match
26 - 2019-10-3188Truites4Cousin1WSommaire du Match
28 - 2019-11-0293Moose2Truites3WSommaire du Match
30 - 2019-11-04104Truites4Goblins2WSommaire du Match
32 - 2019-11-06106Patriots1Truites3WSommaire du Match
34 - 2019-11-08114Truites2Outlaws4LSommaire du Match
35 - 2019-11-09118Hoodlums3Truites4WSommaire du Match
37 - 2019-11-11126Truites3Kings0WSommaire du Match
39 - 2019-11-13132Casse-Pied2Truites6WSommaire du Match
41 - 2019-11-15138Lycans1Truites3WSommaire du Match
43 - 2019-11-17149Piranhas3Truites1LR3Sommaire du Match
45 - 2019-11-19152Hellpepitos4Truites3LXSommaire du Match
47 - 2019-11-21160Truites6Expos2WSommaire du Match
48 - 2019-11-22164Icefield5Truites4LXXSommaire du Match
53 - 2019-11-27180Warpath2Truites4WSommaire du Match
57 - 2019-12-01193Cousin0Truites4WSommaire du Match
59 - 2019-12-03198Truites3Moose4LXSommaire du Match
61 - 2019-12-05209Goblins3Truites4WSommaire du Match
63 - 2019-12-07211Truites6Patriots5WXXSommaire du Match
65 - 2019-12-09219Outlaws2Truites3WXXSommaire du Match
66 - 2019-12-10223Truites4Hoodlums3WSommaire du Match
68 - 2019-12-12231Kings1Truites7WSommaire du Match
70 - 2019-12-14237Truites4Casse-Pied5LXXSommaire du Match
72 - 2019-12-16243Truites2Lycans3LSommaire du Match
74 - 2019-12-18254Truites3Piranhas6LR3Sommaire du Match
76 - 2019-12-20257Truites3Hellpepitos4LXXSommaire du Match
78 - 2019-12-22265Expos1Truites3WSommaire du Match
79 - 2019-12-23269Truites2Icefield1WXXSommaire du Match
84 - 2019-12-28285Truites1Warpath3LSommaire du Match
88 - 2020-01-01298Truites3Cousin2WXSommaire du Match
90 - 2020-01-03303Moose2Truites3WXXSommaire du Match
92 - 2020-01-05314Truites3Goblins1WSommaire du Match
94 - 2020-01-07316Patriots3Truites6WSommaire du Match
96 - 2020-01-09324Truites6Outlaws2WSommaire du Match
97 - 2020-01-10328Hoodlums4Truites1LSommaire du Match
99 - 2020-01-12336Truites5Kings3WSommaire du Match
101 - 2020-01-14342Casse-Pied2Truites4WSommaire du Match
103 - 2020-01-16348Lycans5Truites4LXXSommaire du Match
105 - 2020-01-18359Piranhas0Truites1WR3Sommaire du Match
107 - 2020-01-20362Hellpepitos1Truites3WSommaire du Match
109 - 2020-01-22370Truites3Expos1WSommaire du Match
110 - 2020-01-23374Icefield5Truites2LSommaire du Match
115 - 2020-01-28390Warpath3Truites2LSommaire du Match
119 - 2020-02-01403Cousin1Truites6WSommaire du Match
121 - 2020-02-03408Truites1Moose3LSommaire du Match
123 - 2020-02-05419Goblins2Truites5WSommaire du Match
125 - 2020-02-07421Truites5Patriots1WSommaire du Match
127 - 2020-02-09429Outlaws3Truites2LSommaire du Match
128 - 2020-02-10433Truites3Hoodlums2WSommaire du Match
130 - 2020-02-12441Kings1Truites3WSommaire du Match
132 - 2020-02-14447Truites1Casse-Pied3LSommaire du Match
134 - 2020-02-16453Truites3Lycans2WSommaire du Match
136 - 2020-02-18464Truites4Piranhas2WR3Sommaire du Match
138 - 2020-02-20467Truites3Hellpepitos1WSommaire du Match
140 - 2020-02-22475Expos3Truites5WSommaire du Match
141 - 2020-02-23479Truites2Icefield0WSommaire du Match
146 - 2020-02-28495Truites4Warpath2WSommaire du Match
150 - 2020-03-03508Truites3Cousin1WSommaire du Match
152 - 2020-03-05513Moose3Truites4WSommaire du Match
154 - 2020-03-07524Truites4Goblins5LXXSommaire du Match
156 - 2020-03-09526Patriots2Truites6WSommaire du Match
158 - 2020-03-11534Truites3Outlaws2WSommaire du Match
159 - 2020-03-12538Hoodlums2Truites3WXSommaire du Match
161 - 2020-03-14546Truites4Kings3WSommaire du Match
163 - 2020-03-16552Casse-Pied3Truites8WSommaire du Match
165 - 2020-03-18558Lycans1Truites5WSommaire du Match
167 - 2020-03-20569Piranhas3Truites5WR3Sommaire du Match
169 - 2020-03-22572Hellpepitos6Truites3LSommaire du Match
171 - 2020-03-24580Truites2Expos3LXXSommaire du Match
172 - 2020-03-25584Icefield5Truites2LSommaire du Match
177 - 2020-03-30600Warpath2Truites4WSommaire du Match
181 - 2020-04-03613Cousin1Truites6WSommaire du Match
183 - 2020-04-05618Truites4Moose2WSommaire du Match
185 - 2020-04-07629Goblins2Truites4WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2Niveau 3Niveau 4Luxe
Capacité de l'Aréna70006000300050002000
Prix des Billets92542822191
Assistance281,077244,206123,110203,97780,689
Attendance PCT95.60%96.91%97.71%97.13%96.06%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 22216 - 96.59% 2,213,444$92,964,647$23000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des CoachsValeur du Cap Salarial Spécial
108,096,720$ 116,908,933$ 46,130,833$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourTaxe de Luxe TotaleJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
628,543$ 105,791,869$ 0$ 28 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 628,543$ 0$

Total de l'Équipe Éstimé
Dépenses de la Saison Éstimées Compte Bancaire Actuel Compte Bancaire Projeté
0$ 61,054,860$ 61,054,860$
Cap Salarial de la Saison ÉstiméCap Salarial DisponibleCap Salarial MaximumAu dessus du Plafond Salarial Minimum
105,791,869$ 4,508,131$ 110,300,000$ 24,291,869$



Charte de Profondeur

Ailier GaucheCentreAilier Droit
Leon DraisaitlAGE:23PO:0OV:86
Claude GirouxAGE:31PO:0OV:86
Jonathan HuberdeauAGE:26PO:0OV:83
Eric StaalAGE:34PO:0OV:82
Logan CoutureAGE:30PO:0OV:82
Dylan LarkinAGE:23PO:0OV:81
Ryan Nugent-HopkinsAGE:26PO:0OV:80
Zach PariseAGE:35PO:0OV:79
Mats ZuccarelloAGE:32PO:0OV:78
Thomas VanekAGE:35PO:0OV:75
Pavel BuchnevichAGE:24PO:0OV:73
Scott LaughtonAGE:25PO:0OV:71
Jamie McGinnAGE:31PO:0OV:70
Pontus AbergAGE:26PO:0OV:70
Jujhar KhairaAGE:25PO:0OV:69
Filip ChytilAGE:20PO:0OV:69
Mark BorowieckiAGE:30PO:0OV:69
Matt MartinAGE:30PO:0OV:68
Tobias RiederAGE:26PO:0OV:68
Nail YakupovAGE:25PO:0OV:64
Markus HannikainenAGE:26PO:0OV:63
Kalle KossilaAGE:26PO:0OV:60
Nic PetanAGE:24PO:0OV:60
Leon DraisaitlAGE:23PO:0OV:86
Claude GirouxAGE:31PO:0OV:86
Jonathan HuberdeauAGE:26PO:0OV:83
Eric StaalAGE:34PO:0OV:82
Aleksander BarkovAGE:24PO:0OV:82
Logan CoutureAGE:30PO:0OV:82
Dylan LarkinAGE:23PO:0OV:81
Matt DucheneAGE:28PO:0OV:81
Ryan Nugent-HopkinsAGE:26PO:0OV:80
Scott LaughtonAGE:25PO:0OV:71
Filip ChytilAGE:20PO:0OV:69
Oscar LindbergAGE:27PO:0OV:69
Tobias RiederAGE:26PO:0OV:68
Joakim NordstromAGE:27PO:0OV:67
Austin CzarnikAGE:26PO:0OV:67
Boo NievesAGE:25PO:0OV:66
Vinni LettieriAGE:24PO:0OV:64
Kalle KossilaAGE:26PO:0OV:60
Nic PetanAGE:24PO:0OV:60
Steven FogartyAGE:26PO:0OV:59
Leon DraisaitlAGE:23PO:0OV:86
Claude GirouxAGE:31PO:0OV:86
Jonathan HuberdeauAGE:26PO:0OV:83
Logan CoutureAGE:30PO:0OV:82
Dylan LarkinAGE:23PO:0OV:81
Matt DucheneAGE:28PO:0OV:81
Mats ZuccarelloAGE:32PO:0OV:78
Thomas VanekAGE:35PO:0OV:75
Pavel BuchnevichAGE:24PO:0OV:73
Jamie McGinnAGE:31PO:0OV:70
Pontus AbergAGE:26PO:0OV:70
Filip ChytilAGE:20PO:0OV:69
Oscar LindbergAGE:27PO:0OV:69
Matt MartinAGE:30PO:0OV:68
Tobias RiederAGE:26PO:0OV:68
Scott WilsonAGE:27PO:0OV:65
Phillip Di GiuseppeAGE:25PO:0OV:65
Nail YakupovAGE:25PO:0OV:64
Kalle KossilaAGE:26PO:0OV:60

Défense #1Défense #2Gardien
Keith YandleAGE:33PO:0OV:82
Rasmus RistolainenAGE:24PO:0OV:81
Torey KrugAGE:28PO:0OV:80
Aaron EkbladAGE:23PO:0OV:79
Jacob TroubaAGE:25PO:0OV:76
Brady SkjeiAGE:25PO:0OV:74
Marc StaalAGE:32PO:0OV:74
Nikita ZaitsevAGE:27PO:0OV:74
Brett PesceAGE:24PO:0OV:73
Alex BiegaAGE:31PO:0OV:72
Mike ReillyAGE:26PO:0OV:70
Kevin GravelAGE:27PO:0OV:69
Mark BorowieckiAGE:30PO:0OV:69
Jaycob MegnaAGE:26PO:0OV:68
Chris WidemanAGE:29PO:0OV:68
Dean KukanAGE:26PO:0OV:68
Robert BortuzzoAGE:30PO:0OV:68
Yannick WeberAGE:31PO:0OV:67
*Libor HajekAGE:21PO:0OV:65
Ryan SproulAGE:26PO:0OV:65
Chris BigrasAGE:24PO:0OV:63
Sergei BobrovskyAGE:31PO:0OV:90
David RittichAGE:27PO:0OV:85
Michael HutchinsonAGE:29PO:0OV:80
Christopher GibsonAGE:26PO:0OV:79

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
Adam BoqvistTruites20186D-8.5BLien
Adam TambelliniTruites201368C--6.5FLien
Antoine BibeauTruites
Anttoni HonkaTruites201940D-6.5ALien
Axel HolmstromTruites201476C-4.5FLien
Blade JenkinsTruites2018100C-5.5BLien
Chad KrysTruites201673D-7.0DLien
Darren RaddyshTruites201787D-4.0FLien
Graeme ClarkeTruites2019100RW-6.5ALien
Henrik RybinskiTruites2019125Lien
Igor ShestyorkinTruites2015119G-6.0FLien
Ilya SamsonovTruites201529G-7.5ELien
Jackson LacombeTruites201980D-7.0ALien
Jacob ElmerTruites201999Lien
Jakub NakladalTruites
Julian MelchioriTruites
Karl HenrikssonTruites2019128C-7.0ALien
Leevi AaltonenTruites2019106Lien
Mason ShawTruites201797C-6.0CLien
Matthew RobertsonTruites201962D-7.0ALien
Michael LindqvistTruites201893RWLien
Mitchell MattsonTruites201690C-5.5DLien
Morgan BarronTruites2019120
Nathan LegareTruites201935RW-6.5ALien
Pavel DorofeyevTruites201920LW-RW-6.5ALien
Pyotr KochetkovTruites201982G-7.0ALien
Rihards BukartsTruites2015117AG-4.0ELien
Robert MastrosimoneTruites201948C/LW-7.0ALien
Ryan McleodTruites201840C-7.0BLien
Ryan SuzukiTruites201917C-7.5ALien
Tarmo ReunanenTruites2019138
Trevor ZegrasTruites20196C/W 8.5ALien
Troy GrosenickTruites
Ty RonningTruites2016114AD-4.5DLien
Ukko-Pekka LuukkonenTruites201728G-7.0CLien
Vitali KravtsovTruites201815RW-8.5BLien
Yegor RykovTruites2015126D-5.5DLien
Zachary JonesTruites2019122D-6.5ALien
Ziyat PaiginTruites201699D-4.5ELien

Choix au Repêchage

Année R1R2R3R4R5R6R7
2020Tru Tru Tru
2021Tru LYC Tru Tru Tru MOO Tru
2022Tru Tru Tru Tru Tru Tru Tru
2023Tru Tru Tru Tru PAT Tru Tru Tru
2024Tru Tru Tru Tru Tru Tru Tru




La base de donnée des nouvelles n'a pas été trouvée




[2020-02-24 20:42:53] - TRADE : From Truites to Moose : Conor Sheary (71), Filip Zadina (64), Y:2021-RND:2-Tru.
[2020-02-24 20:42:53] - TRADE : From Moose to Truites : Matt Duchene (81), Y:2021-RND:6-MOO.
[2019-12-09 21:39:53] - TRADE : From Truites to Expos : Erik Brannstrom (65).
[2019-12-09 21:39:53] - TRADE : From Expos to Truites : Ryan Suzuki (P).
[2019-08-31 07:51:32] - Thomas Vanek signed with Truites for 650 000 $ for 2 year(s).
[2019-08-31 07:51:32] - Thomas Vanek was added to Truites.
[2019-08-28 06:14:49] - Marc Staal signed with Truites for 666 666 $ for 2 year(s).
[2019-08-28 06:14:49] - Marc Staal was added to Truites.
[2019-08-27 08:04:20] - TRADE : From Outlaws to Truites : Sergei Bobrovsky (90).
[2019-08-27 08:04:20] - TRADE : From Truites to Outlaws : Braden Holtby (91), Y:2020-RND:2-Tru.
[2019-08-12 09:09:38] - TRADE : From Hellpepitos to Truites : Brady Skjei (74), Jacob Trouba (76), Jonathan Huberdeau (83), Karl Henriksson (P), Leevi Aaltonen (P).
[2019-08-12 09:09:38] - TRADE : From Truites to Hellpepitos : Darnell Nurse (77), Johnny Gaudreau (82), Y:2021-RND:4-Tru.
[2019-08-09 21:46:45] - Libor Hajek was added to Truites.
[2019-08-09 21:46:45] - Erik Brannstrom was added to Truites.
[2019-08-09 21:46:45] - Filip Zadina was added to Truites.
[2019-08-09 21:30:03] - TRADE : From Truites to Icefield : Ryan Johnson (P).
[2019-08-09 21:30:03] - TRADE : From Icefield to Truites : Matthew Robertson (P).



[2020-04-07 06:28:02] Game 629 - Matt Duchene from Truites is injured (Right Hip) and is out for 1 week.
[2020-04-06 06:28:01] Eric Staal from Truites is back from Torn Right Knee Ligaments Injury.
[2020-04-05 08:09:10] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-04-05 08:09:10] Mark Borowiecki of Truites was sent to pro.
[2020-04-05 08:09:10] Matt Martin of Truites was sent to pro.
[2020-04-05 08:09:10] Jujhar Khaira of Truites was sent to pro.
[2020-04-05 08:09:10] Brett Pesce of Truites was sent to pro.
[2020-04-04 07:53:14] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-04-02 06:28:24] Aaron Ekblad from Truites is back from Strained Left Elbow Injury.
[2020-04-02 06:28:24] Last 30 Days Pro Star : 1 - Alex Ovechkin of Icefield (13-13-26) / 2 - Leon Draisaitl of Truites (17-11-28) / 3 - Mark Scheifele of Icefield (13-9-22)
[2020-04-01 05:54:00] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-03-31 06:26:58] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-03-30 06:27:16] Game 600 - Aaron Ekblad from Truites is injured (Strained Left Elbow) and is out for 1 week.
[2020-03-26 05:54:56] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-03-25 05:58:38] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-03-23 06:28:43] Zach Parise from Truites is back from Left Knee Injury.
[2020-03-23 06:28:30] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-03-22 05:53:06] Leon Draisaitl from Truites has scored a Hat Trick!
[2020-03-19 04:57:41] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-03-19 04:57:40] Scott Laughton of Truites was sent to pro.
[2020-03-18 06:19:08] Game 558 - Zach Parise from Truites is injured (Left Knee) and is out for 1 week.
[2020-03-17 06:30:39] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-03-16 06:31:23] Logan Couture from Truites has scored a Hat Trick!
[2020-03-16 06:31:19] Auto Lines Function has been run for Truites.
[2020-03-16 06:31:19] Truites lines errors : Matt Duchene is used twice in OT Forward
[2020-03-16 06:31:19] Auto Lines Partial Function has been run for Truites.
[2020-03-16 06:31:18] Truites lines errors : Matt Duchene is used twice in OT Forward
[2020-03-15 07:32:40] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-03-14 07:44:08] Last 7 Days Pro Star : 1 - Claude Giroux of Truites (2-6-8) / 2 - Boone Jenner of Moose (2-3-5) / 3 - Timo Meier of Hoodlums (3-2-5)
[2020-03-14 07:44:08] Game 546 - Eric Staal from Truites is injured (Torn Right Knee Ligaments) and is out for 1 month.
[2020-03-13 06:30:08] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-03-12 06:03:01] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-03-10 04:59:36] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-03-08 08:17:04] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-03-07 08:05:16] Logan Couture from Truites is back from Strained Left Knee Injury.
[2020-03-07 08:05:16] Game 524 - Logan Couture from Truites is injured (Strained Left Knee) and is out for 5 days.
[2020-03-01 09:17:30] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-02-24 20:42:53] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-02-24 20:42:53] TRADE : From Truites to Moose : Conor Sheary (71), Filip Zadina (64), Y:2021-RND:2-Tru.
[2020-02-24 20:42:53] TRADE : From Moose to Truites : Matt Duchene (81), Y:2021-RND:6-MOO.
[2020-02-23 06:11:31] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-02-22 07:53:35] Last 7 Days Pro Star : 1 - Claude Giroux of Truites (5-4-9) / 2 - Steven Stamkos of Hellpepitos (6-2-8) / 3 - Leon Draisaitl of Truites (3-6-9)
[2020-02-17 06:26:02] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-02-13 07:06:49] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-02-11 10:03:30] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-02-10 07:26:32] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-02-04 05:53:46] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-02-02 07:23:31] Last 30 Days Pro Star : 1 - Leon Draisaitl of Truites (8-10-18) / 2 - Jonathan Huberdeau of Truites (10-9-19) / 3 - Jack Campbell of Hoodlums (0,932)
[2020-02-02 07:23:20] Successfully loaded Truites lines done with Web Base Client and SQLite Database.
[2020-01-30 05:59:58] Aleksander Barkov from Truites is back from Sore Left Knee Injury.



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
201984501704256287200874228801122158102564222903134129983112628751780405107947715276989795688077256287259217723846617.19%2946378.57%61012189753.35%980179654.57%550103952.94%2030131917986891272649
Total Saison Régulière84501704256287200874228801122158102564222903134129983112628751780405107947715276989795688077256287259217723846617.19%2946378.57%61012189753.35%980179654.57%550103952.94%2030131917986891272649