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Ice Pilots
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Martin Normand | Morale : 40 | Moyenne d’équipe : 62
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralMartin Normand
DivisionDivision 5
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison0


Informations de la formation

Équipe Pro23
Équipe Mineure22
Limite contact 45 / 250
Espoirs41


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 SPÂgeContratSalaire
1Jesper BoqvistX100.00625090746477776355626866576566050690252925,000$
2A.J. GreerX100.00709055737869715550626060527361050670275750,000$
3Logan BrownX100.00565188738970485569605755476960050660252750,000$
4Jakub Lauko (R)X100.00745682686769425550596356495761050650231500,000$
5Filip HallanderX100.00515090676875305536505068305954050630231750,000$
6Travis ZajacX100.004745557570605563395752543052740506203825,750,000$
7Victor EjdsellX100.00474555738560555933545052305264050610284925,000$
8Blake SpeersX100.00605063736160555547505052306952050600261700,000$
9Marko DanoX100.00474555736460555934545152305265050600293700,000$
10Egor KorshkovX100.00474555738260555833545051305263050600275925,000$
11Jonathan Gruden (R)X100.00615090676170305548505056305753050600231750,000$
12J. C. LiponX100.00474555736460555935555152305266050600302700,000$
13Nail YakupovX100.00474555736360555935555152305266050600302875,000$
14Tristen Robins (R)X100.00535090675679305564505055305654050590223842,500$
15Filip ChlapikX100.00474555737260555733535051305262050590261735,000$
16Ben JonesX100.00665063736460555531505050305751050590242750,000$
17Casey FitzgeraldX100.00695090736277425740595071506263050690261750,000$
18Stanislav Svozil (R)X100.00505063716485305636705053305465050640203867,500$
19Vladislav KolyachonokX100.00565090676979305536505066305854050640222842,500$
20Chris BigrasX100.00474555736860555933545052305264050610284700,000$
21Tarmo ReunanenX100.00474555736460555732535051305261050600252842,500$
Rayé
MOYENNE D’ÉQUIPE100.0055506972686749574155535635576105062
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 SPÂgeContratSalaire
1Ivan Prosvetov100.0070429287665764555264546064050630243750,000$
2Edward Pasquale100.0073306582555550555052507353050570331650,000$
Rayé
MOYENNE D’ÉQUIPE100.007236798561565755515852675905060
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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 Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
A.J. GreerIce Pilots (QUE)LW271996-12-14No208 Lbs6 ft3NoNoN/ANoNo5Pro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$750,000$-----NoNoNoNo-----
Ben JonesIce Pilots (QUE)C241999-02-26No187 Lbs6 ft0NoNoN/ANoNo2Pro & Farm750,000$750,000$0$0$No750,000$--------No--------
Blake SpeersIce Pilots (QUE)RW261997-01-02No185 Lbs5 ft11NoNoN/ANoNo1Pro & Farm700,000$700,000$0$0$No------------------
Casey FitzgeraldIce Pilots (QUE)D261997-02-25No188 Lbs5 ft11NoNoN/ANoNo1Pro & Farm750,000$750,000$0$0$No------------------
Chris BigrasIce Pilots (QUE)D281995-02-22No190 Lbs6 ft1NoNoN/ANoNo4Pro & Farm700,000$700,000$0$0$No700,000$700,000$700,000$------NoNoNo------
Edward PasqualeIce Pilots (QUE)G331990-11-20No215 Lbs6 ft2NoNoN/ANoNo1Pro & Farm650,000$650,000$0$0$No------------------
Egor KorshkovIce Pilots (QUE)C271996-07-10No214 Lbs6 ft4NoNoN/ANoNo5Pro & Farm925,000$925,000$0$0$No925,000$925,000$925,000$925,000$-----NoNoNoNo-----
Filip ChlapikIce Pilots (QUE)LW261997-06-03No194 Lbs6 ft2NoNoN/ANoNo1Pro & Farm735,000$735,000$0$0$No------------------
Filip HallanderIce Pilots (QUE)C232000-06-29No190 Lbs6 ft1NoNoN/ANoNo1Pro & Farm750,000$750,000$0$0$No------------------
Ivan ProsvetovIce Pilots (QUE)G241999-03-05No195 Lbs6 ft5NoNoN/ANoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$-------NoNo-------
J. C. LiponIce Pilots (QUE)RW301993-01-01No183 Lbs6 ft0NoNoN/ANoNo2Pro & Farm700,000$700,000$0$0$No700,000$--------No--------
Jakub LaukoIce Pilots (QUE)C232000-03-28Yes196 Lbs6 ft0NoNoN/ANoNo1Pro & Farm500,000$500,000$0$0$No------------------
Jesper BoqvistIce Pilots (QUE)C251998-10-30No180 Lbs6 ft0NoNoN/ANoNo2Pro & Farm925,000$925,000$0$0$No925,000$--------No--------
Jonathan GrudenIce Pilots (QUE)C232000-05-04Yes172 Lbs6 ft0NoNoN/ANoNo1Pro & Farm750,000$750,000$0$0$No------------------
Logan BrownIce Pilots (QUE)C251998-03-05No218 Lbs6 ft6NoNoN/ANoNo2Pro & Farm750,000$750,000$0$0$No750,000$--------No--------
Marko DanoIce Pilots (QUE)RW291994-11-30No201 Lbs5 ft11NoNoN/ANoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$-------NoNo-------
Nail YakupovIce Pilots (QUE)RW301993-10-06No195 Lbs5 ft11NoNoN/ANoNo2Pro & Farm875,000$875,000$0$0$No875,000$--------No--------
Stanislav SvozilIce Pilots (QUE)D202003-01-17Yes183 Lbs6 ft0NoNoN/ANoNo3Pro & Farm867,500$867,500$0$0$No867,500$867,500$-------NoNo-------
Tarmo ReunanenIce Pilots (QUE)D251998-03-01No185 Lbs6 ft0NoNoN/ANoNo2Pro & Farm842,500$842,500$0$0$No842,500$--------No--------
Travis ZajacIce Pilots (QUE)C381985-05-13No185 Lbs6 ft2NoNoN/ANoNo2Pro & Farm5,750,000$5,750,000$0$0$No5,750,000$--------No--------
Tristen RobinsIce Pilots (QUE)C222001-11-15Yes176 Lbs5 ft10NoNoN/ANoNo3Pro & Farm842,500$842,500$0$0$No842,500$842,500$-------NoNo-------
Victor EjdsellIce Pilots (QUE)C281995-06-06No214 Lbs6 ft5NoNoN/ANoNo4Pro & Farm925,000$925,000$0$0$No925,000$925,000$925,000$------NoNoNo------
Vladislav KolyachonokIce Pilots (QUE)D222001-05-26No193 Lbs6 ft1NoNoN/ANoNo2Pro & Farm842,500$842,500$0$0$No842,500$--------No--------
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2326.26193 Lbs6 ft12.30988,261$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1A.J. GreerJesper BoqvistBlake Speers34122
2Filip ChlapikLogan BrownJ. C. Lipon30122
3Filip HallanderJakub LaukoNail Yakupov26122
4Jesper BoqvistFilip HallanderMarko Dano10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldVladislav Kolyachonok34122
2Stanislav SvozilChris Bigras30122
3Tarmo ReunanenTravis Zajac26122
4Casey FitzgeraldVladislav Kolyachonok10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1A.J. GreerJesper BoqvistBlake Speers51122
2Filip ChlapikLogan BrownJ. C. Lipon49122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldVladislav Kolyachonok51122
2Stanislav SvozilChris Bigras49122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Jesper BoqvistA.J. Greer51122
2Logan BrownJakub Lauko49122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldVladislav Kolyachonok51122
2Stanislav SvozilChris Bigras49122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Jesper Boqvist51122Casey FitzgeraldVladislav Kolyachonok51122
2A.J. Greer49122Stanislav SvozilChris Bigras49122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jesper BoqvistA.J. Greer51122
2Logan BrownJakub Lauko49122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Casey FitzgeraldVladislav Kolyachonok51122
2Stanislav SvozilChris Bigras49122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
A.J. GreerJesper BoqvistBlake SpeersCasey FitzgeraldVladislav Kolyachonok
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
A.J. GreerJesper BoqvistBlake SpeersCasey FitzgeraldVladislav Kolyachonok
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Victor Ejdsell, Egor Korshkov, Jonathan GrudenVictor Ejdsell, Egor KorshkovJonathan Gruden
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tarmo Reunanen, Stanislav Svozil, Chris BigrasTarmo ReunanenStanislav Svozil, Chris Bigras
Tirs de pénalité
Jesper Boqvist, A.J. Greer, Logan Brown, Jakub Lauko, Filip Hallander
Gardien
#1 : , #2 : Ivan Prosvetov, #3 : Edward Pasquale


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
TotalDomicileVisiteur
# 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%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
0000000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
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%000%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%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


Derniers matchs 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
Capacité20001000
Prix des billets350
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 0$ 0$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 0$ 0$




Ice Pilots Leaders statistiques des joueurs (saison régulière)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Ice Pilots Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Ice Pilots Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
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

Ice Pilots Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Ice Pilots Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA