Blues

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Daniel Duchesne | Morale : 1 | Moyenne d'Équipe : 62
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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
1Tomas KopeckyX100.00474186667886888164666977717998950700
2William Nylander (R)X100.004835758768827480928075657154529527700
3Jordan Martinook (R)X100.006045787374838670606762866067695641690
4Daniel WinnikX100.00524473718085786965666776768080857690
5Erik CondraX100.005744637276656970607070775069711337670
6Nicolas DeslauriersX100.008676816776548676566168675073695153660
7Matt D'AgostiniX100.004132976275727473526155485678751448610
8Geoff PlattX100.009973246571505270996774227571913758610
9Philip Varone (R)X100.004635787366616362715954615771743837600
10Logan Shaw (R)X100.006038816878526560575558685562526348600
11Brandon SegalX100.009987516278555857335262436699955525590
12Lukas Sedlak (R)X100.006043747171455562795459655860507125590
13Drake Caggiula (R)X100.005837808062455362605958615958557935590
14Griffen Molino (R)X100.004435847462454045304141514958537925490
15Jake GardinerX100.005837798479879485258064825878706148750
16Nate GueninX100.00654191637968738948616286608779134710
17Ladislav SmidX100.009965596377838374435446685091903636700
18Tomas Kundratek (R)X100.006349846477737877526971517275724148650
19Adam Clendening (R)X100.005442727672667169256052675263636344640
20Scott Mayfield (R)X100.006055686685616956255250635262626655610
Rayé
1John Quenneville (R)X100.005436757572514661425853655954519539580
2Kenny Agostino (R)X100.005035777370524663306058585762526339580
3Brandon Mashinter (R)X100.006489676764476458605261565052524918560
4Harry Zolnierczyk (R)X100.005437707264454056375253595472592329550
5Nick Sorensen (R)X100.004935736969454054305051575358487920530
6Nicolas Kerdiles (R)X100.005236706873454054304850565258537919530
7Brian Ferlin (R)X100.005265786465444944514942534966654620510
8Clayton Keller (R)X100.004235857759454055305241505250479519510
9Gustav Olofsson (R)X100.005335777076556456255246625158587919590
10Michael Paliotta (R)X100.00567175646755656025525265505146125580
11Paul LaDue (R)X100.005135776675454354305146625062526319560
MOYENNE D'ÉQUIPE100.00594774707260636548585762576765523561
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
1Jason Bacashihua100.00675071747092929292738484993126770
2Malcolm Subban (R)100.00667366786975697069905763627119700
Rayé
MOYENNE D'ÉQUIPE100.0067626976708481818182717481512374
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
David Payne74847076756173CAN4631,000,000$


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'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
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


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 CONT StatusType Salaire Actuel Salaire RestantSalaire 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
Adam ClendeningBlues (STL)D241993-08-03 05:11:13Yes188 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm742,500$
Brandon MashinterBlues (STL)LW291988-09-19 05:53:03Yes212 Lbs6 ft4NoNoNo1Avec RestrictionPro & Farm575,000$
Brandon SegalBlues (STL)RW331984-08-02 23:11:13No213 Lbs6 ft2NoNoNo2Sans RestrictionPro & Farm600,000$600,000$
Brian FerlinBlues (STL)RW241993-08-03 05:11:13Yes205 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm875,000$
Clayton KellerBlues (STL)C191998-07-29 03:51:47Yes168 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm885,833$885,833$885,833$
Daniel WinnikBlues (STL)LW311986-08-03 11:11:13No224 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm900,000$
Drake CaggiulaBlues (STL)C231994-06-20 09:04:53Yes185 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm925,000$925,000$925,000$
Erik CondraBlues (STL)RW301987-08-03 17:11:13No196 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm700,000$700,000$700,000$
Geoff PlattBlues (STL)LW311986-08-03 11:11:13No187 Lbs5 ft9NoNoNo2Sans RestrictionPro & Farm575,000$575,000$
Griffen MolinoBlues (STL)LW241994-01-21 13:17:50Yes171 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm925,000$925,000$925,000$
Gustav OlofssonBlues (STL)D231994-11-30 12:34:40Yes191 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm925,000$925,000$
Harry ZolnierczykBlues (STL)LW301987-09-01 06:34:05Yes180 Lbs5 ft11NoNoNo3Avec RestrictionPro & Farm575,000$575,000$575,000$
Jake GardinerBlues (STL)D271990-08-03 11:11:13No191 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm1,500,000$
Jason BacashihuaBlues (STL)C341983-08-03 17:11:14No187 Lbs5 ft11NoNoNo3Sans RestrictionPro & Farm1,500,000$1,500,000$1,500,000$
John QuennevilleBlues (STL)C221996-04-16 03:53:59Yes195 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm811,667$811,667$811,667$
Jordan MartinookBlues (STL)LW241993-08-03 05:11:13Yes205 Lbs6 ft0NoNoNo1Avec RestrictionPro & Farm658,250$
Kenny AgostinoBlues (STL)LW261992-04-30 03:56:04Yes202 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm875,000$875,000$875,000$
Ladislav SmidBlues (STL)D301987-08-03 17:11:13No210 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm1,000,000$1,000,000$1,000,000$
Logan ShawBlues (STL)RW251992-10-05 12:38:48Yes202 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm908,000$908,000$
Lukas SedlakBlues (STL)C251993-02-25 03:54:42Yes203 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm825,000$825,000$825,000$
Malcolm SubbanBlues (STL)D241993-12-21 12:40:46Yes200 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm1,350,000$1,350,000$
Matt D'AgostiniBlues (STL)RW301987-08-03 17:11:13No203 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm575,000$575,000$575,000$
Michael PaliottaBlues (STL)D251993-04-05 12:43:10Yes207 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm925,000$925,000$
Nate GueninBlues (STL)D341983-08-03 17:11:13No210 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm1,500,000$1,500,000$1,500,000$
Nick SorensenBlues (STL)RW231994-10-23 03:57:50Yes182 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm575,000$575,000$575,000$
Nicolas DeslauriersBlues (STL)RW251992-08-02 23:11:13No212 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm600,000$600,000$600,000$
Nicolas KerdilesBlues (STL)LW241994-01-11 04:00:00Yes191 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm650,000$650,000$650,000$
Paul LaDueBlues (STL)D251992-09-06 08:46:42Yes201 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm874,125$874,125$874,125$
Philip VaroneBlues (STL)C261991-08-03 17:11:13Yes190 Lbs5 ft10NoNoNo3Avec RestrictionPro & Farm575,000$575,000$575,000$
Scott MayfieldBlues (STL)D241993-08-03 05:11:13Yes213 Lbs6 ft4NoNoNo3Avec RestrictionPro & Farm575,000$575,000$575,000$
Tomas KopeckyBlues (STL)RW341983-08-03 17:11:13No206 Lbs6 ft3NoNoNo2Sans RestrictionPro & Farm1,100,000$1,100,000$
Tomas KundratekBlues (STL)D271990-08-03 11:11:13Yes207 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm575,000$575,000$575,000$
William NylanderBlues (STL)C221996-05-01 12:48:00Yes169 Lbs5 ft11NoNoNo2Contrat d'EntréePro & Farm1,744,000$1,744,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3326.58197 Lbs6 ft12.39875,739$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jordan MartinookWilliam NylanderTomas Kopecky40122
2Daniel WinnikPhilip VaroneErik Condra30122
3Geoff PlattDrake CaggiulaNicolas Deslauriers20122
4Griffen MolinoLukas SedlakMatt D'Agostini10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake GardinerNate Guenin40122
2Ladislav SmidTomas Kundratek30122
3Adam ClendeningScott Mayfield20122
4Jake GardinerNate Guenin10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jordan MartinookWilliam NylanderTomas Kopecky60122
2Daniel WinnikPhilip VaroneErik Condra40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake GardinerNate Guenin60122
2Ladislav SmidTomas Kundratek40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1William NylanderTomas Kopecky60122
2Jordan MartinookDaniel Winnik40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake GardinerNate Guenin60122
2Ladislav SmidTomas Kundratek40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1William Nylander60122Jake GardinerNate Guenin60122
2Tomas Kopecky40122Ladislav SmidTomas Kundratek40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1William NylanderTomas Kopecky60122
2Jordan MartinookDaniel Winnik40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jake GardinerNate Guenin60122
2Ladislav SmidTomas Kundratek40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jordan MartinookWilliam NylanderTomas KopeckyJake GardinerNate Guenin
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Jordan MartinookWilliam NylanderTomas KopeckyJake GardinerNate Guenin
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Logan Shaw, Brandon Segal, Nicolas DeslauriersLogan Shaw, Brandon SegalNicolas Deslauriers
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Adam Clendening, Scott Mayfield, Ladislav SmidAdam ClendeningScott Mayfield, Ladislav Smid
Tirs de Pénalité
William Nylander, Tomas Kopecky, Jordan Martinook, Daniel Winnik, Erik Condra
Gardien
#1 : Jason Bacashihua, #2 : Malcolm Subban


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%0
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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3525
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
41 0 - 0.00%0$0$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
2,889,938$ 1,907,362$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
0$ 0$ 0$

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




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT