Checkers
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Félix Fortier | Morale : 75 | Moyenne d’équipe : 61
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Meneurs d'équipe

Statistiques d’équipe
Information d’équipe

Directeur généralFélix Fortier
EntraîneurAlex Burrows
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Information formation

Équipe Pro25
Équipe Mineure21
Limite contact 46 / 80
Espoirs59


Historique d'équipe

Saison actuelle0-0
Historique94-133-15 (0.388%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)8-7
Stanley Cup0


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
1Joona Luoto (R)0X100.00743994628586696455586263676668075640263950,000$
2Ridly Greig (R)0X100.00683972677182706570676365646163075640213950,000$
3Justin Dowling0XXX100.00573693656887776382676061657375075640331700,000$
4Thomas Bordeleau (R)0X100.00563691676589756966686261656163075640213950,000$
5Joel Teasdale (R)0X100.00673887627790796359616259606564075630241925,000$
6Bobby Brink (R)0X100.00673591646583696567685856616362075620222950,000$
7Sakari Manninen0X100.00623785646281696369666056627173075620311750,000$
8Cal O'Reilly0X100.00633694587271855765595657607782075620371750,000$
9Michal Teply (R)0XX100.00723895588179815761595860566264075620221925,000$
10Ryan Suzuki (R)0X100.00613786617074756067615957606264075610221925,000$
11Kale Howarth0X100.00814278539073675253545258536668075590261550,000$
12Tyler Wotherspoon0X100.00733988568270825530595358467072075610301700,000$
13Brady Lyle (R)0X100.00694083597877815830625557486466075610241925,000$
14Yanni Kaldis0X100.00613883597072795830635557486870075610281750,000$
15Logan Day0X100.00703988567972805530595157456971075600291750,000$
16Bobby Nardella (R)0X100.00563883586575795730615554476769075600271750,000$
17Chase Priskie (R)0X100.00613687627183815830555657486769075600271750,000$
18Anthony Bitetto0X100.00704368557969835430555456467375075600331750,000$
19Dillon Simpson0X100.00723893528163785130525355457075075590301550,000$
Rayé
1Joseph Cramarossa0XX100.00714662657576736365626460657173075630311700,000$
2Colt Conrad (R)0X100.00573883566668755562565753566668075580261550,000$
3Jimmy Lambert0X100.00613979547069655357555256576668075570261550,000$
MOYENNE D’ÉQUIPE100.0066398560747776595260575856676907561
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
1Yaroslav Askarov (R)100.0075697079747375747375746165075640213950,000$
2Oscar Dansk (R)100.0070606184696870696870697183075630293950,000$
Rayé
1Gage Alexander (R)100.0068606193676668676668676165075610213950,000$
MOYENNE D’ÉQUIPE100.007163648570697170697170647107563
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alex Burrows66616561635884CAN4212,000,000$


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 Salaire restantSalaire moyenSalaire moyen restantPlafond salarial 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 10Link
Anthony BitettoCheckers (FLA)D337/15/1990No210 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Bobby BrinkCheckers (FLA)RW227/8/2001Yes166 Lbs5 ft8NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$Lien / Lien NHL
Bobby NardellaCheckers (FLA)D274/22/1996Yes180 Lbs5 ft9NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Brady LyleCheckers (FLA)D246/6/1999Yes203 Lbs6 ft1NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Cal O'ReillyCheckers (FLA)C379/30/1986No188 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Chase PriskieCheckers (FLA)D273/19/1996Yes185 Lbs6 ft0NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Colt ConradCheckers (FLA)C264/27/1997Yes179 Lbs5 ft10NoNoNo1Pro & Farm550,000$550,000$0$0$NoLien / Lien NHL
Dillon SimpsonCheckers (FLA)D302/10/1993No204 Lbs6 ft2NoNoNo1Pro & Farm550,000$550,000$0$0$NoLien / Lien NHL
Gage AlexanderCheckers (FLA)G217/2/2002Yes205 Lbs6 ft6NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Jimmy LambertCheckers (FLA)RW262/9/1997No176 Lbs6 ft0NoNoNo1Pro & Farm550,000$550,000$0$0$NoLien / Lien NHL
Joel TeasdaleCheckers (FLA)LW243/11/1999Yes212 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Joona LuotoCheckers (FLA)LW269/26/1997Yes210 Lbs6 ft3NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Joseph CramarossaCheckers (FLA)C/LW3110/26/1992No190 Lbs6 ft1NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Justin DowlingCheckers (FLA)C/LW/RW3310/1/1990No180 Lbs5 ft10NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Kale HowarthCheckers (FLA)LW266/10/1997No201 Lbs6 ft5NoNoNo1Pro & Farm550,000$550,000$0$0$NoLien / Lien NHL
Logan DayCheckers (FLA)D299/19/1994No209 Lbs6 ft1NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Michal TeplyCheckers (FLA)LW/RW225/27/2001Yes187 Lbs6 ft3NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Oscar DanskCheckers (FLA)G292/28/1994Yes204 Lbs6 ft3NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien / Lien NHL
Ridly GreigCheckers (FLA)C218/8/2002Yes183 Lbs6 ft0NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Ryan SuzukiCheckers (FLA)C225/28/2001Yes176 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$0$0$NoLien / Lien NHL
Sakari ManninenCheckers (FLA)C312/10/1992No169 Lbs5 ft8NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Thomas BordeleauCheckers (FLA)C211/3/2002Yes175 Lbs5 ft10NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Tyler WotherspoonCheckers (FLA)D303/12/1993No207 Lbs6 ft2NoNoNo1Pro & Farm700,000$700,000$0$0$NoLien / Lien NHL
Yanni KaldisCheckers (FLA)D289/30/1995No187 Lbs5 ft11NoNoNo1Pro & Farm750,000$750,000$0$0$NoLien / Lien NHL
Yaroslav AskarovCheckers (FLA)G216/16/2002Yes178 Lbs6 ft3NoNoNo3Pro & Farm950,000$550,000$0$0$No950,000$950,000$Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2526.68191 Lbs6 ft11.52796,000$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Cal O'ReillySakari ManninenRyan Suzuki40122
2Joona LuotoRidly GreigMichal Teply30122
3Kale HowarthThomas BordeleauBobby Brink20122
4Joel TeasdaleCal O'ReillyRidly Greig10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brady LyleYanni Kaldis40122
2Tyler WotherspoonBobby Nardella30122
3Logan DayJoel Teasdale20122
4Tyler WotherspoonBrady Lyle10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Ryan SuzukiCal O'ReillyJoel Teasdale60122
2Joona LuotoRidly GreigMichal Teply40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brady LyleLogan Day60122
2Tyler WotherspoonBobby Nardella40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joona LuotoCal O'Reilly60122
2Ridly GreigJoel Teasdale40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Logan DayBrady Lyle60122
2Tyler WotherspoonBobby Nardella40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Joona Luoto60122Logan DayBrady Lyle60122
2Ridly Greig40122Tyler WotherspoonBobby Nardella40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joona LuotoMichal Teply60122
2Ridly GreigJoel Teasdale40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Brady LyleLogan Day60122
2Tyler WotherspoonBobby Nardella40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ridly GreigJoel TeasdaleJoona LuotoBrady LyleTyler Wotherspoon
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Ridly GreigJoel TeasdaleJoona LuotoBrady LyleTyler Wotherspoon
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Ridly Greig, Ryan Suzuki, Joona LuotoRidly Greig, Ryan SuzukiRidly Greig
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Logan Day, Tyler Wotherspoon, Bobby NardellaLogan DayTyler Wotherspoon, Bobby Nardella
Tirs de pénalité
Ryan Suzuki, Joona Luoto, Ridly Greig, Michal Teply, Joel Teasdale
Gardien
#1 : Yaroslav Askarov, #2 : Oscar Dansk
Lignes d’attaque personnalisées en prolongation
Sakari Manninen, Ryan Suzuki, Ridly Greig, Thomas Bordeleau, Bobby Brink, Joona Luoto, Joona Luoto, Kale Howarth, Joel Teasdale, Michal Teply, Cal O'Reilly
Lignes de défense personnalisées en prolongation
Brady Lyle, Yanni Kaldis, Tyler Wotherspoon, Bobby Nardella, Logan Day


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%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 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 billets3115
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,990,000$ 1,750,000$ 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 (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
1Jack Rathbone12531105136-84614122130810.06%222299523.961429431400003100.00%00.9100
2Sam Anas16262581204249227451012.16%29231414.2966124900006850.68%11.0400
3Andy Andreoff98356499105426616131910.97%31186819.06612184400067157.63%21.0602
4Jesse Ylonen744146871883616631612.97%32156621.16118194900044347.11%21.1104
5Michael Sgarbossa9739488716104724832611.96%17152015.67413174900062454.48%01.1401

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
1Ryan Miller75342980.9133.2944112324227830510.76913
2Alexei Melnichuk39221220.8993.5921414012812720010.0000
3Oscar Dansk187910.8963.6799820615860010.8336
4Ryan Bednard135220.9073.4955020323440000.63611
5Oscar Dansk112800.8953.8147300302860010.0000

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
23823437026122862806412017011111541342041142001501132146-1482286506792231119280430079511017102032312191946318932465923.98%1963980.10%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
20228238310721336034317412112040132031772641171903200157166-99736066310231012212710310318810411048106448303587859419992807727.50%2647073.48%01596308651.72%1477290550.84%792147453.73%2000141819335801023513
20238286501620243496-2534143401110132245-1134143100510111251-14028243457700209682624308296011071001204306129447921092183415.60%2196172.15%11157296739.00%1337350638.13%545151036.09%152710322437602985431
Total Saison régulière2468013301014458891119-230123456306234489556-671233570041211400563-16320788916262515533293012451892772952317230851001046230911536600174417022.85%67917074.96%14327911747.46%4344955145.48%1984429946.15%552238716318175430211454
Séries éliminatoires
20221587000006365-27520000031265835000003239-716631131760028249255119018715816593171117344531018.87%541670.37%029356352.04%30855355.70%13426949.81%35924737311119496
Total Séries éliminatoires1587000006365-27520000031265835000003239-716631131760028249255119018715816593171117344531018.87%541670.37%029356352.04%30855355.70%13426949.81%35924737311119496

Checkers Leaders statistiques (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
1Chase Priskie144141818142492317.39%2325218.0110140000000.00%01.4300
2Joseph Cramarossa14711189839334415.91%521115.10123900000156.29%01.7000
3Justin Dowling148816907334717.02%228020.04112800002048.78%01.1400
4Jesse Ylonen145914-66442568.93%1030521.811341200001165.63%00.9200
5Christian Jaros15211131102513229.09%2235623.7823590000010.00%00.7300

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
1Mitchell Gillam95010.9023.4745000262640000.0000
2Alexei Melnichuk63200.8874.4019100141240000.0000