Stars

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Mickael Lajeunesse | Morale : 50 | Moyenne d'Équipe : 63
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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
1Devante Smith-PellyXX100.008341826379747061566264736573676378650
2Peter HollandX100.006338846579949363706261646275687085650
3Roope HintzX100.007438876886777267736665686764657233650
4Dale WeiseXX100.008242807082737666566164656279725184650
5T.J. HensickX100.005435956368787262736556575984745184620
6Kalle KossilaXX100.005236916067786559695860665771675182600
7Nick LappinX100.005936926072846958585657595573674885600
8Nikita JevpalovsX100.006637875679939155575454565569656085600
9Nicholas MerkleyX100.005537876269868061706354565863627885600
10Zack MacEwenX100.006143845984777158625957595565635385600
11Isac LundestromX100.005435936271746361726253645360628381600
12Stephen GiontaX100.005935936063726258675956645186763585600
13Nikita PopugaevX100.007935945596767054565253615461636421590
14Jonathan DahlenX100.005236926157918659635856526063627321580
15Linus OlundX100.005735945571928854565352534963626378580
16Dylan McIlrathX100.007540795896856856305553724873677181660
17Chris BreenX100.008439835599878153305450614578705578650
18Philippe MyersX100.007839836391856861306258634863625484650
19Matt IrwinX100.008254796379695762306856645180722785640
20Kevin GravelX100.005636935989776358306153684972674685630
21Joe HickettsX100.005637885964897058305753684665635378620
22Timothy LiljegrenX100.006437896073857958305652615360628385620
Rayé
1Aaron LuchukX100.005035955657787255575453505463626367550
2Cam DineenX100.005335945558918654305352515461637019570
MOYENNE D'ÉQUIPE100.00653888607682745952595661556966607262
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
1Josef Korenar100.00797573747877797877797861655385730
2Spencer Martin100.00757270857473757473757467715285720
Rayé
1Martin Ouellette100.00776563697675777675777675814520720
2Felix Sandstrom100.00746462797372747372747363677520690
3Stuart Skinner100.00716563887069717069717061657620680
MOYENNE D'ÉQUIPE100.0075686679747375747375746570604671
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Scott Gordon81788481847863USA5731,000,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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 Contrat Type Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Aaron LuchukStars (Dal)C221997-04-04No180 Lbs5 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Cam DineenStars (Dal)D211998-06-19No183 Lbs5 ft1NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
Chris BreenStars (Dal)D301989-06-29No226 Lbs6 ft7NoNoNo0Pro & Farm0$0$NoLien
Dale WeiseStars (Dal)LW/RW301988-08-05No206 Lbs6 ft2NoNoNo1Pro & Farm936,481$0$0$NoLien
Devante Smith-PellyStars (Dal)LW/RW271992-06-14No223 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien
Dylan McIlrathStars (Dal)D271992-04-20No236 Lbs6 ft5NoNoNo3Pro & Farm963,777$0$0$No963,777$963,777$Lien
Felix SandstromStars (Dal)G221997-01-12No191 Lbs6 ft2NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Isac LundestromStars (Dal)C191999-11-06No187 Lbs6 ft0NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Joe HickettsStars (Dal)D231996-05-04No180 Lbs5 ft8NoNoNo1Pro & Farm300,000$0$0$NoLien
Jonathan DahlenStars (Dal)LW211997-12-20No176 Lbs5 ft1NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Josef KorenarStars (Dal)G211998-01-31No185 Lbs6 ft1NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Kalle KossilaStars (Dal)C/LW261993-04-14No185 Lbs5 ft10NoNoNo1Pro & Farm300,000$0$0$NoLien
Kevin GravelStars (Dal)D271992-03-06No211 Lbs6 ft4NoNoNo0Pro & Farm0$0$NoLien
Linus OlundStars (Dal)C221997-06-05No185 Lbs6 ft0NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Martin OuelletteStars (Dal)G271991-12-30No160 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Matt IrwinStars (Dal)D311987-11-29No207 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Nicholas MerkleyStars (Dal)RW221997-05-23No194 Lbs5 ft10NoNoNo2Pro & Farm900,000$0$0$No900,000$Lien
Nick LappinStars (Dal)RW261992-11-01No175 Lbs6 ft1NoNoNo1Pro & Farm300,000$0$0$NoLien
Nikita JevpalovsStars (Dal)RW241994-09-09No210 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLien
Nikita PopugaevStars (Dal)LW201998-11-20No217 Lbs6 ft6NoNoNo3Pro & Farm300,000$0$0$No300,000$300,000$Lien
Peter HollandStars (Dal)C281991-01-14No193 Lbs6 ft2NoNoNo2Pro & Farm915,775$0$0$No915,775$Lien
Philippe MyersStars (Dal)D221997-01-25No210 Lbs6 ft5NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Roope HintzStars (Dal)LW221996-11-17No215 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Lien
Spencer MartinStars (Dal)G241995-06-08No210 Lbs6 ft3NoNoNo0Pro & Farm0$0$NoLien
Stephen GiontaStars (Dal)C351983-10-09No177 Lbs5 ft7NoNoNo0Pro & Farm0$0$NoLien
Stuart SkinnerStars (Dal)G201998-11-01No206 Lbs6 ft4NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$Lien
T.J. HensickStars (Dal)RW331985-12-10No190 Lbs5 ft10NoNoNo0Pro & Farm0$0$NoLien
Timothy LiljegrenStars (Dal)D201999-04-30No192 Lbs6 ft0NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$Lien
Zack MacEwenStars (Dal)C221996-07-08No205 Lbs6 ft3NoNoNo2Pro & Farm300,000$0$0$No300,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2924.62197 Lbs6 ft01.62376,415$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Roope HintzPeter HollandDevante Smith-Pelly40122
2Dale WeiseZack MacEwenT.J. Hensick30122
3Nikita PopugaevIsac LundestromNick Lappin20122
4Jonathan DahlenStephen GiontaNikita Jevpalovs10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dylan McIlrathChris Breen40122
2Philippe MyersMatt Irwin30122
3Kevin GravelTimothy Liljegren20122
4Joe HickettsDylan McIlrath10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Roope HintzPeter HollandDevante Smith-Pelly60122
2Dale WeiseZack MacEwenT.J. Hensick40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dylan McIlrathChris Breen60122
2Philippe MyersMatt Irwin40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Roope HintzDevante Smith-Pelly60122
2Peter HollandDale Weise40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dylan McIlrathChris Breen60122
2Philippe MyersMatt Irwin40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Roope Hintz60122Dylan McIlrathChris Breen60122
2Devante Smith-Pelly40122Philippe MyersMatt Irwin40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Roope HintzDevante Smith-Pelly60122
2Peter HollandDale Weise40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Dylan McIlrathChris Breen60122
2Philippe MyersMatt Irwin40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Roope HintzPeter HollandDevante Smith-PellyDylan McIlrathChris Breen
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Roope HintzPeter HollandDevante Smith-PellyDylan McIlrathChris Breen
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Nicholas Merkley, Linus Olund, Nick LappinNicholas Merkley, Linus OlundNick Lappin
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Kevin Gravel, Timothy Liljegren, Joe HickettsKevin GravelTimothy Liljegren, Joe Hicketts
Tirs de Pénalité
Roope Hintz, Devante Smith-Pelly, Peter Holland, Dale Weise, T.J. Hensick
Gardien
#1 : Josef Korenar, #2 : Spencer Martin


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 Billets3515
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
38 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 109,161$ 0$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

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




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
Séries
1451400000710-33030000047-3211000003302712190014111052739363962777921600.00%31680.65%17314450.69%7313753.28%377648.68%13190111376734
Total Séries51400000710-33030000047-3211000003302712190014111052739363962777921600.00%31680.65%17314450.69%7313753.28%377648.68%13190111376734