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Checkers
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Dan Rhéaume | Morale : 50 | Moyenne d’équipe : 65
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Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralDan Rhéaume
EntraîneurSheldon Keefe
DivisionDivision Sud-Est
ConférenceConference 1
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro18
Équipe Mineure15
Limite contact 33 / 55
Espoirs44


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique46-26-9 (0.568%)
Apparitions en séries éliminatoires 1
Historique en séries éliminatoires (W-L)5-6
Coupe Stanley0


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
1Matt LuffXX100.0066459773727584746771717370605162466602721,550,000$
2Hudson FaschingXX100.0073518173757778706470726466696157506602811,700,000$
3Marko DanoX100.0060449372707776707167707068665756506502911,250,000$
4Josiah SlavinXX100.0065469174698173726568667562575166506502511,100,000$
5Gemel SmithXX100.0066528471717670726771717270585053506503021,300,000$
6Jack StudnickaX100.007046897269728270747068706258466050640252900,000$
7Maxim ShalunovXX100.006044937173737371607070677048465050640311900,000$
8Carl DahlstromX100.0060449471777375714571657063554756506502921,250,000$
9John GilmourX100.0062449470717373724570697264524750506503121,250,000$
Rayé
1Mason AppletonX100.0066468672708088707371737172695954506702811,800,000$
2Joey AndersonXX100.0054489275727676776373746568735364506702511,800,000$
3Jonatan Berggren (R)XX100.006345917869707273607573736750457050660233900,000$
4Philip Tomasino (R)X100.006445827467747871617573726760457050650223900,000$
5Benjamin GleasonX100.0065458775727476724570707456585264506602621,700,000$
6Jacob MoverareX100.0067448673747376714568707354585164506602521,700,000$
7Ryan Johnson (R)X100.006345897570707873457262725650457050640223900,000$
MOYENNE D’ÉQUIPE100.00644689737175777259717071655950605065
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
1Luka Gracnar100.007682827377788381817878515653506403011,500,000$
Rayé
1Joseph Woll100.008184787979808080807780625664506502531,500,000$
MOYENNE D’ÉQUIPE100.0079838076787982818178795756595065
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Sheldon Keefe87857469788388CAN454100,000$


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 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 Plafond 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
Benjamin GleasonCheckers (Flo)D261998-03-25No185 Lbs6 ft1NoNoN/ANoNo22024-04-29Pro & Farm1,700,000$0$0$No1,700,000$--------No--------Lien
Carl DahlstromCheckers (Flo)D291995-01-28No231 Lbs6 ft4NoNoN/ANoNo2Pro & Farm1,250,000$0$0$No1,250,000$--------No--------Lien
Gemel SmithCheckers (Flo)LW/RW301994-04-16No203 Lbs5 ft10NoNoN/ANoNo2Pro & Farm1,300,000$0$0$No1,300,000$--------No--------Lien
Hudson FaschingCheckers (Flo)LW/RW281995-07-28No204 Lbs6 ft3NoNoN/ANoNo1Pro & Farm1,700,000$0$0$No------------------Lien
Jack StudnickaCheckers (Flo)C251999-02-18No187 Lbs6 ft1NoNoN/ANoNo2Pro & Farm900,000$0$0$No900,000$--------No--------Lien
Jacob MoverareCheckers (Flo)D251998-08-31No198 Lbs6 ft4NoNoN/ANoNo22024-04-29Pro & Farm1,700,000$0$0$No1,700,000$--------No--------Lien
Joey AndersonCheckers (Flo)LW/RW251998-06-19No192 Lbs5 ft11NoNoN/ANoNo12024-04-29Pro & Farm1,800,000$0$0$No------------------Lien
John GilmourCheckers (Flo)D311993-05-17No191 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,250,000$0$0$No1,250,000$--------No--------Lien
Jonatan BerggrenCheckers (Flo)LW/RW232000-07-16Yes197 Lbs5 ft11NoNoTrade (Prospect)NoNo32024-04-29Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Joseph WollCheckers (Flo)G251998-07-12No198 Lbs6 ft2NoNoN/ANoNo32024-04-29Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$-------NoNo-------Lien
Josiah SlavinCheckers (Flo)LW/RW251998-12-31No161 Lbs6 ft0NoNoN/ANoNo1Pro & Farm1,100,000$0$0$No------------------Lien
Luka GracnarCheckers (Flo)G301993-10-31No187 Lbs5 ft10NoNoN/ANoNo1Pro & Farm1,500,000$0$0$No------------------Lien
Marko DanoCheckers (Flo)C291994-11-30No201 Lbs5 ft11NoNoN/ANoNo1Pro & Farm1,250,000$0$0$No------------------Lien
Mason AppletonCheckers (Flo)C281996-01-15No193 Lbs6 ft3NoNoN/ANoNo12024-04-29Pro & Farm1,800,000$0$0$No------------------Lien
Matt LuffCheckers (Flo)LW/RW271997-05-05No196 Lbs6 ft2NoNoTrade2024-05-15NoNo2Pro & Farm1,550,000$0$0$No1,550,000$--------No--------Lien
Maxim ShalunovCheckers (Flo)LW/RW311993-01-31No205 Lbs6 ft3NoNoN/ANoNo1Pro & Farm900,000$0$0$No------------------Lien
Philip TomasinoCheckers (Flo)C222001-07-28Yes179 Lbs6 ft0NoNoTrade (Prospect)NoNo32024-04-29Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Ryan JohnsonCheckers (Flo)D222001-07-24Yes195 Lbs6 ft1NoNoTrade (Prospect)NoNo32024-04-29Pro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1826.72195 Lbs6 ft11.831,327,778$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Gemel Smith30023
2Marko DanoHudson Fasching30023
3Josiah SlavinJack StudnickaMaxim Shalunov30023
410032
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Carl Dahlstrom35041
2John Gilmour35041
330041
4Carl Dahlstrom0041
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Gemel Smith50005
2Marko DanoHudson Fasching50005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Carl Dahlstrom50014
2John Gilmour50014
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Josiah Slavin50041
2Jack Studnicka50041
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Carl Dahlstrom50041
2John Gilmour50041
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
150050Carl Dahlstrom50050
2Jack Studnicka50050John Gilmour50050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
150023
2Marko DanoHudson Fasching50023
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Carl Dahlstrom50032
2John Gilmour50032
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Gemel Smith
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Josiah SlavinJohn Gilmour
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jack Studnicka, Josiah Slavin, Maxim ShalunovJack Studnicka, Josiah Slavin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Carl DahlstromCarl Dahlstrom,
Tirs de pénalité
, , Gemel Smith, Jack Studnicka, Hudson Fasching
Gardien
#1 : Luka Gracnar, #2 :


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
00N/A0000000000
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 billets3718
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,390,000$ 2,390,000$ 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$




Checkers 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
1Mason Appleton82334982112510215322114.93%9149718.271013234700026152.61%11.0918
2Joey Anderson823542771019377823315.02%9146417.86811195400006143.40%21.05110
3Gemel Smith8228366411531027123411.97%15140517.14413175000007144.94%00.9126
4Benjamin Gleason76173956633915412413.71%110165621.8011920611013310%00.6800
5Jack Studnicka821739562251171552108.10%11154918.90215172800023050.84%00.7200

Checkers 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
1Joseph Woll48261040.9022.7624172011111270200.63611
2Luka Gracnar50201660.8893.2025492213612230520.36422
3Scott Darling10100.7147.74310041400000

Checkers 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
Saison régulière
1582432601228305257484122130011416113526412113011141441222210230554284722128829210269186288492257235269951512802596123.55%1973880.71%11503290951.67%1432273552.36%739140852.49%2010138918746141092553
Total Saison régulière82432601228305257484122130011416113526412113011141441222210230554284722128829210269186288492257235269951512802596123.55%1973880.71%11503290951.67%1432273552.36%739140852.49%2010138918746141092553
Séries éliminatoires
15115600000433946330000023203523000002019110437611910141711133610513010013421116616819736.84%27388.89%017735350.14%18137548.27%11320654.85%2471692677914771
Total Séries éliminatoires115600000433946330000023203523000002019110437611910141711133610513010013421116616819736.84%27388.89%017735350.14%18137548.27%11320654.85%2471692677914771

Checkers 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
1Hudson Fasching1166123111483517.14%019417.64033100001145.00%01.2400
2Kenny Agostino11471132412429.52%519617.851011000001037.50%01.1200
3Carl Dahlstrom112911241471414.29%923521.4113460000000%00.9300
4Gemel Smith116410-3111472425.00%119517.76112300001063.64%01.0200
5Jack Studnicka11448-3413202416.67%118917.27112400010049.21%00.8400

Checkers 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
1Luka Gracnar104310.8903.38461002623700000
2Joseph Woll61200.8853.60200201210401100