Checkers
GP: 82 | W: 37 | L: 37 | OTL: 8 | P: 82
GF: 286 | GA: 280 | PP%: 23.98% | PK%: 80.10%
DG: Louis Levasseur | Morale : 75 | Moyenne d’équipe : 63
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Checkers
37-37-8, 82pts
2
FINAL
3 Senators
29-45-8, 66pts
Team Stats
W1StreakL1
22-17-2Home Record15-22-4
15-20-6Away Record14-23-4
5-4-1Last 10 Games3-5-2
3.49Buts par match 3.15
3.41Buts contre par match 3.83
23.98%Pourcentage en avantage numérique24.21%
80.10%Pourcentage en désavantage numérique79.67%
Checkers
37-37-8, 82pts
6
FINAL
4 Rocket
33-45-4, 70pts
Team Stats
W1StreakL2
22-17-2Home Record15-25-1
15-20-6Away Record18-20-3
5-4-1Last 10 Games1-9-0
3.49Buts par match 3.67
3.41Buts contre par match 4.44
23.98%Pourcentage en avantage numérique20.25%
80.10%Pourcentage en désavantage numérique74.31%
Meneurs d'équipe
Joe VelenoButs
Joe Veleno
28
Joe VelenoPasses
Joe Veleno
27
Joe VelenoPoints
Joe Veleno
55
Joe VelenoPlus/Moins
Joe Veleno
-19
Ryan MillerVictoires
Ryan Miller
34
Ryan MillerPourcentage d’arrêts
Ryan Miller
0.913

Statistiques d’équipe
Buts pour
286
3.49 GFG
Tirs pour
3007
36.67 Avg
Pourcentage en avantage numérique
24.0%
59 GF
Début de zone offensive
40.8%
Buts contre
280
3.41 GAA
Tirs contre
3121
38.06 Avg
Pourcentage en désavantage numérique
80.1%
39 GA
Début de la zone défensive
41.8%
Information d’équipe

Directeur généralLouis Levasseur
EntraîneurAlex Burrows
DivisionAtlantic Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,485
Billets de saison300


Information formation

Équipe Pro31
Équipe Mineure18
Limite contact 49 / 80
Espoirs32


Historique d'équipe

Saison actuelle37-37-8 (82PTS)
Historique1085-1357-290 (0.397%)
Apparitions séries éliminatoires 10
Historique séries éliminatoires (W-L)39-50
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
1Jonny Brodzinski0XXX100.00584384638069706668656462667568075640283950,000$
2Brayden Burke0XX100.00564679636583886670686159646763075630241999,999$
3Sam Anas0XX100.00613593646179846376656157627568075630283950,000$
4Jesse Ylonen (R)0X100.00503595656874736358616263646365075620223925,000$
5Joel Teasdale (R)0X100.00663593637582736265626159626362075620223925,000$
6Joona Luoto0X100.00583595618263676258596061626764075620242900,000$
7Marian Studenic0X100.007135846270817763596162586365640756202331,000,000$
8Calvin Thurkauf0XX100.006735936281777859666158565967630756202431,000,000$
9Michal Teply (R)0X100.00723988628174795861595563566062075610203925,000$
10Ostap Safin (R)0X100.00813593589078835653525759566362075610223925,000$
11Mike Reilly0X100.00753885747788857230805667537569075680282700,000$
12Conor Timmins0X100.00583593757982807130686366526563075660232925,000$
13Jack Rathbone (R)0X100.00623593687187766630696261556362075640223925,000$
14Christian Jaros0X100.00857287618878796230665764516963075640253950,000$
15Brandon Davidson0X100.00823593608271685930625761507867075630301900,000$
16Bobby Nardella0X100.00563985636573786230685658506965075620252900,000$
17Chase Priskie0X100.00623888627284866330625861556964075620252900,000$
Rayé
1Rudolfs Balcers0X95.23833591727384877166696865696766075680241952,000$
2Stefan Matteau0X86.97874383628278796167616264627367075640272900,000$
3Jonathan Davidsson0X100.00583595597063666156605859616764075610242925,000$
4Brandon Duhaime0X100.00685866577779845953565860596764075600242900,000$
5Josh Dickinson0X100.00693789577860655764615457566764075600242900,000$
6Michael Pezzetta0X100.00697258567875805755535654576563075590232700,000$
7Francis Perron0X100.00594381576874795761595654576965075590252750,000$
8Jakob Stukel0X100.00623690547175805456535654556764075580243950,000$
9Brady Lyle (R)0X100.00695176597871766230586159556362075610223925,000$
10Joseph Cecconi0X100.00734682528285905230535256466764075590242900,000$
MOYENNE D’ÉQUIPE99.3467428662767778625162596058686407562
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
1Ryan Miller99.00798086747877797877797891950756904121,000,000$
2Oscar Dansk100.0074838284737274737274737377075660272800,000$
Rayé
1Alexei Melnichuk (R)100.0075828078747375747375746570075650233925,000$
2Ryan Bednard100.0072778791717072717072716771075640242925,000$
MOYENNE D’ÉQUIPE99.757581848274737574737574747807566
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alex Burrows73687267605685CAN4032,000,000$


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
1Mike ReillyCheckers (FLA)D569667534001741189839709.18%101135024.1252126531480000113110.00%000101.1100000353
2Stefan MatteauCheckers (FLA)C71234063293151941862266417210.18%18106915.0621214411280001185154.36%154900001.1812001334
3Rudolfs BalcersCheckers (FLA)LW3533245723100731072215516314.93%1175621.611081833860002595246.27%6700031.5102000942
4Sam AnasCheckers (FLA)C/RW802927563180721642707519410.74%14120015.0135824730000362551.16%43000000.9300000361
5Jack RathboneCheckers (FLA)D60134255-132607711215647868.33%113138323.055712661560000116000.00%000000.8000000214
6Joe VelenoPanthersC55282755-19400159222317712088.83%30121122.03611175012500011142155.65%172700100.9102000730
7Conor TimminsCheckers (FLA)D64183452-812050123147407412.24%98130420.399514491230003985230.30%3300020.8000000302
8Calvin ThurkaufCheckers (FLA)C/LW75151732-312082146164501179.15%197459.9400000000030153.18%91200000.8600000215
9Jonny BrodzinskiCheckers (FLA)C/LW/RW39141529-12040531183610811.86%570017.9534715980000232156.14%11400000.8311000130
10Brandon DavidsonCheckers (FLA)D8242226-8320143708226464.88%91117614.341782695000173100.00%000000.4400000011
11Chase PriskieCheckers (FLA)D5832225-530096415117215.88%6966911.540000000001100.00%000000.7500000002
12Jesse YlonenCheckers (FLA)RW301292154095090216413.33%1055618.551126480001421253.33%4500000.7500000202
13Joona LuotoCheckers (FLA)LW5112921-8115325613245919.09%974214.5743729108000010044.12%6800000.5700001000
14Bobby NardellaCheckers (FLA)D4501414-62019401910150.00%4761213.6100013000012000.00%000000.4600000000
15Joel TeasdaleCheckers (FLA)LW257411140382548112914.58%638315.35000070000162145.65%4600010.5701000102
16Christian JarosCheckers (FLA)D382911-2581076292711197.41%2547312.4501132300003000.00%000000.4600110000
17Brayden BurkeCheckers (FLA)C/LW82617-340174350132212.00%52182.66202470000121165.91%4400000.6401000011
18Michael PezzettaCheckers (FLA)LW15033580211413270.00%116511.04000010000130038.10%2100000.3600000000
19Jakob StukelCheckers (FLA)LW5000160115280.00%06913.8300018000000066.67%600000.0000000000
20Marian StudenicCheckers (FLA)RW23000-52019153013180.00%61727.5200003000000040.00%1000000.0000000000
21Francis PerronCheckers (FLA)LW6000-100321230.00%1376.190000000000000.00%100000.0000000000
Statistiques d’équipe totales ou en moyenne995228385613-1235220139516172265650153510.07%6791500015.08518513640112490009760281853.87%507300260.8229112362829
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
1Ryan MillerCheckers (FLA)75342980.9133.2944112324227830510.76913738675
2Oscar DanskCheckers (FLA)112800.8953.8147300302860010.0000873000
Statistiques d’équipe totales ou en moyenne86363780.9113.3448852327230690520.769138181675


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
Alexei MelnichukCheckers (FLA)G236/29/1998Yes190 Lbs6 ft2NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Bobby NardellaCheckers (FLA)D254/22/1996No180 Lbs5 ft9NoNoNo2Pro & Farm900,000$4,972$900,000$4,972$0$0$No900,000$Lien / Lien NHL
Brady LyleCheckers (FLA)D226/6/1999Yes203 Lbs6 ft1NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Brandon DavidsonCheckers (FLA)D308/21/1991No209 Lbs6 ft2NoNoNo1Pro & Farm900,000$4,972$900,000$4,972$0$0$NoLien / Lien NHL
Brandon DuhaimeCheckers (FLA)RW245/22/1997No200 Lbs6 ft1NoNoNo2Pro & Farm900,000$4,972$900,000$4,972$0$0$No900,000$Lien / Lien NHL
Brayden BurkeCheckers (FLA)C/LW241/1/1997No165 Lbs5 ft11NoNoNo1Pro & Farm999,999$5,525$999,999$5,525$0$0$NoLien / Lien NHL
Calvin ThurkaufCheckers (FLA)C/LW246/27/1997No204 Lbs6 ft2NoNoNo3Pro & Farm1,000,000$5,525$1,000,000$5,525$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Chase PriskieCheckers (FLA)D253/19/1996No185 Lbs6 ft0NoNoNo2Pro & Farm900,000$4,972$900,000$4,972$0$0$No900,000$Lien / Lien NHL
Christian JarosCheckers (FLA)D254/2/1996No222 Lbs6 ft3NoNoNo3Pro & Farm950,000$5,249$950,000$5,249$0$0$No950,000$950,000$Lien / Lien NHL
Conor TimminsCheckers (FLA)D239/18/1998No185 Lbs6 ft2NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$0$0$No925,000$Lien / Lien NHL
Francis PerronCheckers (FLA)LW254/18/1996No166 Lbs6 ft0NoNoNo2Pro & Farm750,000$4,144$750,000$4,144$0$0$No750,000$Lien / Lien NHL
Jack RathboneCheckers (FLA)D225/20/1999Yes177 Lbs5 ft10NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Jakob StukelCheckers (FLA)LW243/6/1997No182 Lbs6 ft0NoNoNo3Pro & Farm950,000$5,249$950,000$5,249$0$0$No950,000$950,000$Lien / Lien NHL
Jesse YlonenCheckers (FLA)RW2210/3/1999Yes167 Lbs6 ft0NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Joel TeasdaleCheckers (FLA)LW223/11/1999Yes205 Lbs6 ft0NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Jonathan DavidssonCheckers (FLA)RW243/12/1997No185 Lbs5 ft11NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$0$0$No925,000$Lien / Lien NHL
Jonny BrodzinskiCheckers (FLA)C/LW/RW286/19/1993No215 Lbs6 ft1NoNoNo3Pro & Farm950,000$5,249$950,000$5,249$0$0$No950,000$950,000$Lien / Lien NHL
Joona LuotoCheckers (FLA)LW249/26/1997No192 Lbs6 ft3NoNoNo2Pro & Farm900,000$4,972$900,000$4,972$0$0$No900,000$Lien / Lien NHL
Joseph CecconiCheckers (FLA)D245/23/1997No210 Lbs6 ft2NoNoNo2Pro & Farm900,000$4,972$900,000$4,972$0$0$No900,000$Lien / Lien NHL
Josh DickinsonCheckers (FLA)C2411/17/1997No190 Lbs6 ft2NoNoNo2Pro & Farm900,000$4,972$900,000$4,972$0$0$No900,000$Lien / Lien NHL
Marian StudenicCheckers (FLA)RW2310/28/1998No164 Lbs6 ft1NoNoNo3Pro & Farm1,000,000$5,525$1,000,000$5,525$0$0$No1,000,000$1,000,000$Lien / Lien NHL
Michael PezzettaCheckers (FLA)LW233/13/1998No204 Lbs6 ft1NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Michal TeplyCheckers (FLA)RW205/27/2001Yes187 Lbs6 ft3NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Mike ReillyCheckers (FLA)D287/13/1993No199 Lbs6 ft1NoNoNo2Pro & Farm700,000$3,867$700,000$3,867$0$0$No700,000$Lien / Lien NHL
Oscar DanskCheckers (FLA)G272/28/1994No204 Lbs6 ft3NoNoNo2Pro & Farm800,000$4,420$800,000$4,420$0$0$No800,000$Lien / Lien NHL
Ostap SafinCheckers (FLA)LW222/11/1999Yes204 Lbs6 ft5NoNoNo3Pro & Farm925,000$5,110$550,000$3,039$0$0$No925,000$925,000$
Rudolfs BalcersCheckers (FLA)LW244/8/1997No180 Lbs5 ft11NoNoNo1Pro & Farm952,000$5,260$952,000$5,260$0$0$NoLien / Lien NHL
Ryan BednardCheckers (FLA)G243/31/1997No207 Lbs6 ft5NoNoNo2Pro & Farm925,000$5,110$925,000$5,110$0$0$No925,000$Lien / Lien NHL
Ryan MillerCheckers (FLA)G417/17/1980No170 Lbs6 ft2NoNoNo2Farm Only1,000,000$5,525$1,000,000$5,525$0$0$No1,000,000$Lien / Lien NHL
Sam AnasCheckers (FLA)C/RW286/1/1993No163 Lbs5 ft8NoNoNo3Pro & Farm950,000$5,249$950,000$5,249$0$0$No950,000$950,000$Lien / Lien NHL
Stefan Matteau (sur la masse salariale)Checkers (FLA)C272/23/1994No208 Lbs6 ft2NoNoNo2Pro & Farm900,000$4,972$900,000$4,972$0$0$Yes900,000$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3124.87191 Lbs6 ft12.32908,129$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Sam Anas30122
3Calvin Thurkauf20122
4Sam Anas10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
3Christian JarosBrandon Davidson20122
4Chase Priskie10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Sam Anas40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Sam Anas, Brayden Burke, Sam Anas
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandon Davidson, , Chase PriskieBrandon DavidsonBrandon Davidson,
Tirs de pénalité
, , , ,
Gardien
#1 : Ryan Miller, #2 : Oscar Dansk
Lignes d’attaque personnalisées en prolongation
, , , , , Sam Anas, Sam Anas, Brayden Burke, , Calvin Thurkauf,
Lignes de défense personnalisées en prolongation
, , , , Christian Jaros


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
1Admirals210000017701000000123-11100000054130.75071421001119280476951101710203278218519666.67%4250.00%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
2Americans422000001315-22110000056-12110000089-140.500132033001119280413395110171020321805020109900.00%10280.00%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
3Barracuda220000001073110000005411100000053241.000101626001119280471951101710203259171053600.00%50100.00%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
4Bears30300000613-72020000049-51010000024-200.0006101600111928048395110171020321033516476233.33%7357.14%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
5Bruins31200000715-81100000053220200000212-1020.333714210011192804959511017102032117332263800.00%11554.55%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
6Comets2110000067-11010000024-21100000043120.50061218101119280497951101710203276186574375.00%3166.67%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
7Condors21000100660110000003211000010034-130.75061117001119280466951101710203275251152300.00%3166.67%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
8Crunch42200000151232200000010372020000059-440.5001525400111192804144951101710203214342129712216.67%6266.67%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
9Devils3120000012841010000025-321100000103720.333122133011119280412095110171020329928326913215.38%40100.00%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
10Eagles21100000431110000004131010000002-220.50047110011192804569511017102032652414515120.00%70100.00%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
11Firebirds2020000059-41010000014-31010000045-100.00058130011192804739511017102032902510448112.50%50100.00%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
12Griffins413000001418-4211000009902020000059-420.2501425390011192804140951101710203218745269215320.00%13376.92%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
13Gulls211000008621010000023-11100000063320.500814220011192804899511017102032692712474125.00%5260.00%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
14Heat211000005501010000024-21100000031220.5005914001119280477951101710203282162446233.33%10100.00%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
15IceHogs210010001055110000006241000100043141.00010192900111928048295110171020326324648400.00%30100.00%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
16Marlies320000101293210000108621100000043161.000122133001119280414295110171020321103212839444.44%6183.33%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
17Monsters321000001881022000000154111010000034-140.667183149001119280418795110171020321374312635240.00%60100.00%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
18Moose211000001091110000008441010000025-320.500101727001119280486951101710203282238396350.00%4250.00%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
19Penguins31100100990110000004132010010058-330.50091726001119280410095110171020328227336111327.27%9366.67%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
20Phantoms321000008712110000056-11100000031240.6678152310111928047995110171020329823276713323.08%10190.00%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
21Reign210000011091110000005321000000156-130.75010203000111928046395110171020326414123312541.67%6183.33%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
22Roadrunners2020000017-61010000015-41010000002-200.000123001119280458951101710203274221748900.00%6183.33%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
23Rocket4310000018108211000009632200000094560.7501830480111192804166951101710203215043147717529.41%70100.00%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
24Senators4100120016142200011009902100010075260.750162945001119280416195110171020321383722937114.29%11463.64%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
25Silver Knights2020000047-31010000035-21010000012-100.0004711001119280463951101710203296221337600.00%40100.00%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
26Sound Tigers32100000141222200000010641010000046-240.66714253900111928049795110171020321434916787228.57%80100.00%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
27Stars2020000038-51010000024-21010000014-300.00036900111928045395110171020327823847400.00%40100.00%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
28Thunderbirds20100100810-21010000045-11000010045-110.250815230011192804849511017102032802610465240.00%40100.00%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
29Wild2010010057-21010000023-11000010034-110.250510150011192804559511017102032742914635240.00%6183.33%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
30Wolf Pack3120000012111110000006332020000068-220.3331220320011192804113951101710203211937166714321.43%7271.43%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
31Wolves3210000010731010000012-12200000095440.66710162600111928049895110171020321103922674125.00%11281.82%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
Total823437026122862806412017011111541342041142001501132146-14820.500286506792231119280430079511017102032312191946318932465923.98%1963980.10%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
_Since Last GM Reset823437026122862806412017011111541342041142001501132146-14820.500286506792231119280430079511017102032312191946318932465923.98%1963980.10%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
_Vs Conference46192201310154158-423119011108176523813002007382-9450.489154269423231119280416619511017102032172250127510601473121.09%1102577.27%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
_Vs Division247120010089751412640000047361112180010042393150.3138915524411111928048779511017102032891281174519731824.66%621182.26%01574306451.37%1530314048.73%647131549.20%1995142019475711012509

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8282W128650679230073121919463189323
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8234372612286280
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4120171111154134
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4114201501132146
Derniers 10 matchs
WLOTWOTL SOWSOL
540100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2465923.98%1963980.10%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
951101710203211192804
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
1574306451.37%1530314048.73%647131549.20%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1995142019475711012509


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
3 - 2021-10-1410Penguins1Checkers4BWSommaire du match
5 - 2021-10-1621Sound Tigers4Checkers6BWSommaire du match
8 - 2021-10-1941Checkers2Crunch5ALSommaire du match
10 - 2021-10-2154Eagles1Checkers4BWSommaire du match
12 - 2021-10-2373Checkers3Phantoms1AWSommaire du match
14 - 2021-10-2585Roadrunners5Checkers1BLSommaire du match
16 - 2021-10-2797Bruins3Checkers5BWSommaire du match
18 - 2021-10-29111Checkers2Griffins3ALSommaire du match
19 - 2021-10-30120Checkers1Bruins5ALSommaire du match
24 - 2021-11-04152Bears5Checkers2BLSommaire du match
26 - 2021-11-06163Wolves2Checkers1BLSommaire du match
28 - 2021-11-08179Checkers3Wolf Pack4ALSommaire du match
29 - 2021-11-09185Checkers2Devils3ALSommaire du match
31 - 2021-11-11199Checkers2Penguins4ALSommaire du match
33 - 2021-11-13216Checkers3Crunch4ALSommaire du match
36 - 2021-11-16233Sound Tigers2Checkers4BWSommaire du match
38 - 2021-11-18251Devils5Checkers2BLSommaire du match
40 - 2021-11-20264Wild3Checkers2BLSommaire du match
44 - 2021-11-24291Phantoms4Checkers2BLSommaire du match
46 - 2021-11-26309Checkers2Bears4ALSommaire du match
47 - 2021-11-27317Firebirds4Checkers1BLSommaire du match
50 - 2021-11-30338Bears4Checkers2BLSommaire du match
52 - 2021-12-02354Americans2Checkers0BLSommaire du match
54 - 2021-12-04367Thunderbirds5Checkers4BLSommaire du match
57 - 2021-12-07393Checkers4Thunderbirds5ALXSommaire du match
60 - 2021-12-10416Checkers0Roadrunners2ALSommaire du match
62 - 2021-12-12433Checkers0Eagles2ALSommaire du match
64 - 2021-12-14439Senators4Checkers5BWXSommaire du match
66 - 2021-12-16456Reign3Checkers5BWSommaire du match
68 - 2021-12-18471Checkers3Wild4ALXSommaire du match
71 - 2021-12-21499Checkers4IceHogs3AWXSommaire du match
73 - 2021-12-23511Admirals3Checkers2BLXXSommaire du match
77 - 2021-12-27527Checkers4Wolves3AWSommaire du match
79 - 2021-12-29542Wolf Pack3Checkers6BWSommaire du match
80 - 2021-12-30552Crunch3Checkers6BWSommaire du match
82 - 2022-01-01567Rocket5Checkers4BLSommaire du match
85 - 2022-01-04588Heat4Checkers2BLSommaire du match
87 - 2022-01-06605Checkers1Stars4ALSommaire du match
89 - 2022-01-08620Checkers5Wolves2AWSommaire du match
92 - 2022-01-11638Comets4Checkers2BLSommaire du match
95 - 2022-01-14661Stars4Checkers2BLSommaire du match
96 - 2022-01-15669Monsters2Checkers7BWSommaire du match
99 - 2022-01-18698Checkers3Heat1AWSommaire du match
101 - 2022-01-20709Checkers3Condors4ALXSommaire du match
102 - 2022-01-21718Checkers4Comets3AWSommaire du match
104 - 2022-01-23735Checkers4Firebirds5ALSommaire du match
106 - 2022-01-25749Checkers2Moose5ALSommaire du match
108 - 2022-01-27760Silver Knights5Checkers3BLSommaire du match
110 - 2022-01-29776Barracuda4Checkers5BWSommaire du match
112 - 2022-01-31791Checkers3Monsters4ALSommaire du match
113 - 2022-02-01799Checkers3Wolf Pack4ALSommaire du match
116 - 2022-02-04816Monsters2Checkers8BWSommaire du match
118 - 2022-02-06829Condors2Checkers3BWSommaire du match
123 - 2022-02-11865Senators5Checkers4BLXSommaire du match
125 - 2022-02-13883Griffins5Checkers4BLSommaire du match
127 - 2022-02-15899Checkers2Americans5ALSommaire du match
128 - 2022-02-16904Checkers3Penguins4ALXSommaire du match
130 - 2022-02-18920Phantoms2Checkers3BWSommaire du match
133 - 2022-02-21951Checkers5Reign6ALXXSommaire du match
135 - 2022-02-23963Checkers5Barracuda3AWSommaire du match
137 - 2022-02-25976Checkers1Silver Knights2ALSommaire du match
138 - 2022-02-26981Checkers6Gulls3AWSommaire du match
144 - 2022-03-041020Checkers3Rocket0AWSommaire du match
146 - 2022-03-061039Checkers5Senators2AWSommaire du match
147 - 2022-03-071052Checkers4Marlies3AWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
149 - 2022-03-091061Rocket1Checkers5BWSommaire du match
151 - 2022-03-111076IceHogs2Checkers6BWSommaire du match
153 - 2022-03-131090Checkers8Devils0AWSommaire du match
154 - 2022-03-141100Checkers6Americans4AWSommaire du match
156 - 2022-03-161115Marlies2Checkers3BWSommaire du match
159 - 2022-03-191138Americans4Checkers5BWSommaire du match
160 - 2022-03-201144Checkers5Admirals4AWSommaire du match
163 - 2022-03-231165Gulls3Checkers2BLSommaire du match
166 - 2022-03-261194Moose4Checkers8BWSommaire du match
168 - 2022-03-281209Checkers3Griffins6ALSommaire du match
170 - 2022-03-301223Checkers4Sound Tigers6ALSommaire du match
172 - 2022-04-011233Griffins4Checkers5BWSommaire du match
174 - 2022-04-031253Marlies4Checkers5BWXXSommaire du match
175 - 2022-04-041264Crunch0Checkers4BWSommaire du match
177 - 2022-04-061271Checkers1Bruins7ALSommaire du match
179 - 2022-04-081290Checkers2Senators3ALXSommaire du match
180 - 2022-04-091300Checkers6Rocket4AWSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3115
Assistance61,28640,591
Assistance PCT74.74%99.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2485 - 82.83% 76,486$3,135,913$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
4,964,402$ 2,815,200$ 2,552,700$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
15,056$ 2,943,579$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 1 26,603$ 26,603$




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
1Mark Olver455187234421-562629421116150312.44%303981221.57487111918244835271747.34%20.86625
2Jordan Weal438152189341-76161676119715799.63%233949621.682438621503364117852.11%40.72730
3John Persson500147174321-52235798880115612.72%226925918.5236498513320219231247.48%10.691136
4Mike Halmo551132168300-156651147093214289.24%1981074319.502532571542462619842.98%10.56722
5Sam Anas3208112520646622256008619.41%50536716.7712243610402259551.80%10.7748

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
1Joey MacDonald277125126200.9003.06160353115818814940671820.70090
2Christopher Nilstorp1677766190.9122.9998708249256212980960.72093
3Scott Wedgewood1457458110.9083.01840524442246080230.82540
4Andrew Raycroft1525977150.9072.8289676742145422270760.63165
5Chris Driedger85482490.9162.96472914323327890420.84219

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
580175303223199354-1554092702011114178-64408260121285176-9149199338537060586571206306327276842420894111120021994422.11%2116867.77%4687136250.44%582109153.35%625126549.41%152966617709511803934
68038310304431127635402016010121421172540181502032169159109431149780802068126110261007849118952440812176622292254419.56%2706675.56%10902173352.05%852170749.91%716141450.64%1580769361919251689820
7761934013244163203-40388190702296115-19381115062226788-217816325742006029585913340315538429217271766616341483120.95%1913581.68%5482104746.04%721153247.06%46697048.04%127545415358181806925
876203703178162223-613812180201589115-26388190116373108-356916225441638035506714540347512563213569553614571695733.73%1744077.01%2575119048.32%697147047.41%42986949.37%129847515238261822938
876174703225158250-92386240202479134-553811230120179116-3751158253411210336060165604365975942401836134218281844122.28%2496374.70%6632132047.88%834178046.85%46294748.79%131350815778111714869
98065602718143345-202403270031662163-101403290240281182-1013314323337621027456813460293529490240780948016531302922.31%1575266.88%1567114449.56%638135846.98%49998950.46%1329457161085419181004
980274006223225266-4140132103111117139-2240141903112108127-1975225368593060548578245807348888162550860101720401864423.66%2596774.13%6789167147.22%886178849.55%561112150.04%154273816098211678824
1080125602451144301-157407250034178149-71405310211066152-864314422637024029387014880372458629260979189114201594327.04%2026567.82%3631119952.63%726147549.22%46495548.59%130445616558601876974
1080174209363174254-80408210533084130-46409210403390124-347017427044443029577317630409664663250979890214841865026.88%1945074.23%3635136146.66%820176846.38%450101944.16%137753616248511850945
1180165304403153290-137408260220273147-74408270220180143-634715325140425034447115410355516640233777057416661845529.89%1736661.85%4639125950.75%696138450.29%47994850.53%133347115928591901982
1180204206336162225-634010210222386108-224010210411376117-416716225942124032507116090391527649241880553116651905931.05%1795270.95%4668129951.42%867169251.24%46290750.94%137250616248611862968
1276173905555193246-53389190232399123-24388200323294123-296419331150444032638817960448614694261083461517861655935.76%2175674.19%2619127748.47%875182847.87%46797447.95%131051916078131712865
12763124036662412383381811013231211081338131302343120130-109224138762822060838925520794898820264082646919071826032.97%2115972.04%6825163050.61%842166950.45%513104749.00%147871215507781605800
1380144107459175241-664010180521493114-21404230224582127-456517527645141027647216950409570652277386043017651705029.41%1995771.36%7615130147.27%858192044.69%46899247.18%132850517498681814921
13802133011456244276-3240121407223125130-54091904233119146-278424439964333058848624700767878791273086857019121966332.14%2547869.29%1799165648.25%900187548.00%545113847.89%153772016198201715852
1480174405284166247-814012190315086113-27405250213480134-546616626242823029626216080357603613267586541617411745129.31%1654175.15%8643124951.48%825173647.52%43393846.16%135049916758481842955
14802239010324220241-2140121904203116127-1140102006121104114-1075220356576300459073243106559278122741916115121412004824.00%2707273.33%4818169048.40%935192748.52%518108047.96%152371116488221680830
1580154505744160260-100407200433382125-43408250141178135-575916025241232031586217370423688582266681954017691664024.10%2106071.43%2640131848.56%839184145.57%44197145.42%136853717018601798908
1580164703554178273-95407220342295138-43409250013283135-525717828446242041636617650453607664283388878917161603723.13%2476474.09%10613132846.16%908194246.76%41998142.71%138755516958471782908
167629320317419719613816120206210990193813200111288106-188319734954613074585521800682745731243267053716442174520.74%2364282.20%21122239146.93%1276277545.98%543116546.61%1692112719285931007485
1676204802123165243-783810250101188123-353810230111277120-435216530346834064455219370665638623260575269017382063416.50%3126977.88%11046222646.99%1221267745.61%566118447.80%165410841954592982479
1780313403048183204-214014200202284104-204017140102699100-18418333051323059516621180664680755295383179018021913317.28%3615684.49%41058236644.72%1438330443.52%486120240.43%1665107721536401050488
1780155301065194310-1164010250003293143-504052801033101167-664919433352703068596021860749684719299186757617171752011.43%2565777.73%31064235645.16%1264291443.38%590132444.56%1630107621826191042481
18763627022542051921338161401142999723820130111210695119220536256725076725019710633675640247574841414642014120.40%1892586.77%1879220139.94%1093278239.29%440117737.38%164610921970587996481
187666401302159372-213382340100180189-109384300030179183-1041915927943810051575019670640684631297782057815761872814.97%2547570.47%2984221544.42%1062239944.27%610129547.10%15179882073588991456
1982243604369205254-4941131904032107118-114111170033798136-388020535856330067666219830616677657288586151415012094220.10%2154280.47%01048220247.59%1368303745.04%594130245.62%1625103822786621106509
1982145801135165303-138419280012181142-61415300101484161-774216528845342056584718210555641608320099053516771872814.97%2286372.37%1888206143.09%1282314140.82%557127043.86%150696323866531071482
208240250345526524124412511011211381092941151402334127132-5105265481746220115727027900894937924268381069419803016822.59%2805580.36%01509296450.91%1480284352.06%658130650.38%1942131819666241076534
2082363003643258255341181502213124129-541181501430134126895258470728230105846227000904842915265972379020672604718.08%3196380.25%11441283950.76%1425290549.05%674130551.65%1962134519536091061528
21825223032203362379941251103110173119544127120011016311845116336596932240146919432570107910761085275775451819152535822.92%2264082.30%21783329854.06%1591293154.28%753138854.25%2071146918395711029529
218235340551226325013411816032021341231141171802310129127289263482745210108678228250951922931291586761719482074119.81%2694981.78%21607295754.35%1630302353.92%722130355.41%2024141318815761043530
228238270375227824731412213002401481113741161403512130136-61012785047821401238166300209881009959295784359220312464719.11%2595080.69%31631306053.30%1607312451.44%712132953.57%2043143218795871048532
22823926068212902454541221002511157123344117160431013312211103290528818230991057827570904927900294979256119532486325.40%2454980.00%41494293650.89%1506308248.86%688131852.20%2012140618955831050530
23823437026122862806412017011111541342041142001501132146-1482286506792231119280430079511017102032312191946318932465923.98%1963980.10%01574306451.37%1530314048.73%647131549.20%1995142019475711012509
Total Saison régulière27028111357014511512914570208838-1818135143165707850666936064327-721135138070006765637634144511-10972430702011902189227110311120542291229471877951213152480923790906252791023665607216707155923.24%7877188576.07%114319076517048.96%360747586047.55%186573870848.20%535352905763283261654944624793
Séries éliminatoires
12624000001419-53030000048-4321000001011-141423370003831830547455213545514215746.67%15473.33%06814048.57%6913152.67%459746.39%111521266112260
131266000003442-8633000001923-4633000001519-4123458921008101642301301491444871337524134926.47%321165.63%114629549.49%13931344.41%8317846.63%227114264117227116
1651400000812-4211000005503030000037-428152300053014905154441845546999111.11%23291.30%07415248.68%8520341.87%276144.26%10169139375926
1840400000310-72020000024-22020000016-5035800010210404225371513912591516.67%6266.67%05112341.46%8216649.40%205040.00%8254108314924
20624000001622-631200000612-6312000001010041629450004561850585364244685817825520.00%28582.14%010120948.33%10825642.19%429743.30%14597166488240
20624000001621-53120000079-231200000912-341626420006461590494862210574916321523.81%21576.19%07118538.38%10623145.89%359238.04%12986152477838
21161060000055469853000002422285300000312472055991540001523176930245199210559166149388531222.64%501080.00%138571154.15%34160056.83%15627456.93%418298366110205103
21514000001321-820200000610-431200000711-421323360003631340444341194564313021523.81%18572.22%07415248.68%9320545.37%399640.63%11172140426932
2218810000005761-410550000034340835000002327-41657101158000162020607020020219364221314342751917.65%591771.19%032868847.67%30868544.96%14328849.65%436299433133231116
22117400000373436420000021156532000001619-31437671040001314836601251151054051127629330516.67%35974.29%021941952.27%20939453.05%11819859.60%2902042537714474
Total Séries éliminatoires89395000000253288-3545202500000128142-1444192500000125146-217825344669910074938130030998962955328995370621202745921.53%2877075.61%21517307449.35%1540318448.37%708143149.48%2054134921527071270634

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
1Mike Reilly175121741422243215.63%3143325.50224150001100.00%00.7800
2Jordan Weal1879160027535911.86%735219.56415901133048.00%00.9100
3Barrett Hayton11411153221333910.26%123421.36112600012055.02%01.2800
4John Persson186713-5214140698.70%1039822.13246500022045.19%00.6500
5Philippe Myers22210123276927336.06%3049522.52145210000000.00%00.4800

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
1Chris Driedger117400.9162.9768700344050000.0000
2Mark Dekanich126600.9193.266810037459247110.0000
3Charlie Lindgren62400.8923.7631900201860100.0000
4Christopher Nilstorp72400.9043.663610022229117000.0000
5Scott Wedgewood51310.8864.0728000191670000.0000