Connexion


Centre de jeu
Checkers
11-16-5, 27pts
1
FINAL
2 Vikings
17-15-2, 36pts
Team Stats
OTW1StreakW3
7-10-0Home Record7-9-0
4-6-5Away Record10-6-2
4-5-1Last 10 Games6-3-1
2.50Buts par match 2.91
3.31Buts contre par match 2.68
18.69%Pourcentage en avantage numérique17.83%
83.23%Pourcentage en désavantage numérique84.12%
Bandits
22-9-3, 47pts
3
FINAL
4 Checkers
11-16-5, 27pts
Team Stats
SOL1StreakOTW1
10-5-2Home Record7-10-0
12-4-1Away Record4-6-5
4-4-2Last 10 Games4-5-1
4.06Buts par match 2.50
3.24Buts contre par match 3.31
12.18%Pourcentage en avantage numérique18.69%
83.66%Pourcentage en désavantage numérique83.23%
Thunder
20-12-1, 41pts
Jour 74
Checkers
11-16-5, 27pts
Stats Équipe
L1SéquenceOTW1
11-6-0Fiche domicile7-10-0
9-6-1Fiche visiteur4-6-5
5-4-110 derniers matchs4-5-1
3.76Buts par match 2.50
3.39Buts contre par match 3.31
16.13%Pourcentage en avantage numérique18.69%
81.48%Pourcentage en désavantage numérique83.23%
Checkers
11-16-5, 27pts
Jour 76
Remparts
16-13-3, 35pts
Stats Équipe
OTW1SéquenceW1
7-10-0Fiche domicile11-6-0
4-6-5Fiche visiteur5-7-3
4-5-110 derniers matchs3-6-1
2.50Buts par match 3.78
3.31Buts contre par match 3.75
18.69%Pourcentage en avantage numérique12.58%
83.23%Pourcentage en désavantage numérique78.17%
Checkers
11-16-5, 27pts
Jour 78
Sagueneens
14-17-2, 30pts
Stats Équipe
OTW1SéquenceL1
7-10-0Fiche domicile8-8-1
4-6-5Fiche visiteur6-9-1
4-5-110 derniers matchs3-5-2
2.50Buts par match 2.61
3.31Buts contre par match 3.18
18.69%Pourcentage en avantage numérique13.51%
83.23%Pourcentage en désavantage numérique89.05%
Meneurs d'équipe
Mitchell ChaffeeButs
Mitchell Chaffee
12
James HamblinPasses
James Hamblin
16
Mitchell ChaffeePoints
Mitchell Chaffee
25
Mitchell ChaffeePlus/Moins
Mitchell Chaffee
8
Thomas MilicVictoires
Thomas Milic
10
Jesper VikmanPourcentage d’arrêts
Jesper Vikman
0.892

Stats Équipe
Buts pour
80
2.50 GFG
Tirs pour
670
20.94 Avg
Pourcentage en avantage numérique
18.7%
20 GF
Début de zone offensive
38.5%
Buts contre
106
3.31 GAA
Tirs contre
925
28.91 Avg
Pourcentage en désavantage numérique
83.2%
28 GA
Début de la zone défensive
40.7%
Information d’équipe
Directeur généralJean-Francis Grondin
EntraîneurRyan Warsofsky
DivisionCentral
ConférenceWestern
CapitaineRobert Bortuzzo
Assistant #1Jaycob Megna
Assistant #2Chase DeLeo
Informations de l’aréna
Capacité3,000
Assistance0
Billets de saison300
Information formation
Équipe Pro25
Équipe Mineure19
Limite contact 44 / 50
Espoirs26
Historique d'équipe
Saison actuelle11-16-5 (27PTS)
Historique100-142-21 (0.380%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)-
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
1Dryden HuntX100.009954748459605066407057704082714522650302575,000$
2Justin BrazeauX100.0078618575877495574052626540767560226402711,900,000$
3Beck MalenstynX100.009956827572729550404654704076746022620271900,000$
4James HamblinX100.005143818348605061706261709974676522620261786,500$
5Julien GauthierX100.0095598475826050594052656040786955226202821,000,000$
6Mitchell ChaffeeX100.008753847865758856404765584076766022620271847,000$
7Zack MacEwenX100.009588707583675751404458644080745023600292800,000$
8Raphael LavoieX100.0080687175776050514040635340726670225702511,119,250$
9Brandon BiroX100.005350837844655550406139589076716022560271786,500$
10Chase DeLeo (A)X100.007542897555605044404444574082714522540301600,000$
11Scott ReedyX100.0049528475736050404036436640746765235302611,001,000$
12Sam MalinskiX100.0058458679547695544051587540767660286602741,250,000$
13Robert Bortuzzo (C)X100.0069776475726855504050506840948115226403631,000,000$
14Jaycob Megna (A)X100.007259837583686336403834704088783022630333950,000$
15Ty Nelson (R)X100.006150778956767145405040704064709022630212750,000$
16Ville HeinolaX100.0050448675527455474045507540707275226102411,119,250$
17John LudvigX100.0091837775705550424049346540726470226002511,119,250$
Rayé
1Reese JohnsonX100.009967747559645435403536564076706020520271847,000$
2Maxim GroshevX100.005445837564655538403045599970687519520242925,000$
3Jacob PerreaultX100.0065567175596050384041365099686480205102311,119,250$
4Filip RoosX100.005950787569726735404130604074736520580261695,750$
MOYENNE D’ÉQUIPE 100.00735779776666624841474964517671602259
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
1Jesper Vikman100.00815060945050505050505068598024580231750,000$
2Thomas Milic100.00905060825050505050505066588519570222925,000$
Rayé
1Dylan Ferguson100.00755060865050505050504076636020570272575,000$
2Ty Young (R)100.00755060875050505050504064579020560212750,000$
MOYENNE D’ÉQUIPE100.0080506087505050505050456959792157
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Warsofsky87686878735094USA382200,000$


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
1Mitchell ChaffeeCheckers (Fla)RW321213258200414268255717.65%758818.3934719862023870344.35%11500000.8503000511
2Dryden HuntCheckers (Fla)LW27914230320917862204414.52%1454820.32224136210131150143.91%23000010.8423000231
3James HamblinCheckers (Fla)C3271623-10017665164210.77%955417.3312313780001490054.74%66500000.8301000102
4Ville HeinolaCheckers (Fla)D3261218-720214434102417.65%3967921.2322415770110125100.00%000000.5300000040
5Beck MalenstynCheckers (Fla)LW27710178160553149153914.29%344016.3233613730001151133.33%3000000.7700000004
6Justin BrazeauCheckers (Fla)RW2710717060132340153525.00%656621.00516106501131383050.94%5300000.6013000131
7Robert BortuzzoCheckers (Fla)D3231114-13751511928337169.09%3770722.1008818840001119000.00%000000.4000021201
8Ty NelsonCheckers (Fla)D3211112-1214042412614173.85%5274123.1713416890110142000.00%000000.3200000011
9John LudvigCheckers (Fla)D32191027351372111679.09%3348915.30000315000025000.00%000000.4100100301
10Jaycob MegnaCheckers (Fla)D32088-648010322142110.00%3367921.250228750000106000.00%000000.2400000111
11Chase DeLeoCheckers (Fla)LW32134-14801233197285.26%744613.960000180000561038.18%5500000.1800000000
12Brandon BiroCheckers (Fla)RW32224-1200329248128.33%63059.540110110000141043.59%3900000.2600000000
13Julien GauthierCheckers (Fla)RW32404-1030093416220386.45%845714.280005180002900039.02%4100000.1802000011
14Reese JohnsonCheckers (Fla)C8101-16013830033.33%0749.2700000000001043.75%6400000.2700000010
15Raphael LavoieCheckers (Fla)RW32011-132554731304150.00%12969.2700019000000043.46%19100000.0700000000
16Scott ReedyCheckers (Fla)LW5000-200027120.00%05611.3700000000000066.67%300000.0000000000
17Maxim GroshevCheckers (Fla)LW18000-840478240.00%21498.3200000000000033.33%900000.0000000000
Statistiques d’équipe totales ou en moyenne46464117181-813592579555755517239111.53%257778316.771728451347663361410888548.36%149500010.47312121151514
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
1Thomas MilicCheckers (Fla)27101340.8873.32155400867590100.6258275022
2Jesper VikmanCheckers (Fla)91310.8922.7139800181660101.0004527011
Statistiques d’équipe totales ou en moyenne36111650.8883.201952001049250200.750123232033


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 2039 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2040 204120422043204420452046Salaire annuel 9Salaire annuel 10Link
Beck MalenstynCheckers (Fla)LW271998-02-04No209 Lbs6 ft3NoNoNo1Pro & Farm900,000$0$0$No
UFA
Lien / Lien NHL
Brandon BiroCheckers (Fla)RW271998-03-11No170 Lbs5 ft11NoNoNo1Pro & Farm786,500$0$0$No
UFA
Lien / Lien NHL
Chase DeLeoCheckers (Fla)LW301995-10-25No195 Lbs5 ft10NoNoNo1Pro & Farm600,000$0$0$No
UFA
Lien / Lien NHL
Dryden HuntCheckers (Fla)LW301995-11-24No195 Lbs6 ft0NoNoNo2Pro & Farm575,000$0$0$No575,000$
UFA
Lien / Lien NHL
Dylan FergusonCheckers (Fla)G271998-09-20No183 Lbs6 ft2NoNoNo2Pro & Farm575,000$0$0$No575,000$
UFA
Lien / Lien NHL
Filip RoosCheckers (Fla)D261999-01-05No200 Lbs6 ft4NoNoNo1Pro & Farm695,750$0$0$No
RFA
Lien / Lien NHL
Jacob PerreaultCheckers (Fla)RW232002-04-15No196 Lbs6 ft0NoNoNo1Pro & Farm1,119,250$0$0$No
RFA
Lien / Lien NHL
James HamblinCheckers (Fla)C261999-04-27No185 Lbs5 ft9NoNoNo1Pro & Farm786,500$0$0$No
RFA
Lien / Lien NHL
Jaycob MegnaCheckers (Fla)D331992-12-10No220 Lbs6 ft6NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$
UFA
Lien / Lien NHL
Jesper VikmanCheckers (Fla)G232002-03-11No205 Lbs6 ft4NoNoNo1Pro & Farm750,000$0$0$No
RFA
Lien / Lien NHL
John LudvigCheckers (Fla)D252000-08-02No213 Lbs6 ft1NoNoNo1Pro & Farm1,119,250$0$0$No
RFA
Lien / Lien NHL
Julien GauthierCheckers (Fla)RW281997-10-15No226 Lbs6 ft4NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
UFA
Lien / Lien NHL
Justin BrazeauCheckers (Fla)RW271998-02-02No227 Lbs6 ft6NoNoNo1Pro & Farm1,900,000$0$0$No
UFA
Lien / Lien NHL
Maxim GroshevCheckers (Fla)LW242001-12-14No198 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Mitchell ChaffeeCheckers (Fla)RW271998-01-26No204 Lbs6 ft1NoNoNo1Pro & Farm847,000$0$0$No
UFA
Lien / Lien NHL
Raphael LavoieCheckers (Fla)RW252000-09-25No215 Lbs6 ft4NoNoNo1Pro & Farm1,119,250$0$0$No
RFA
Lien / Lien NHL
Reese JohnsonCheckers (Fla)C271998-07-10No192 Lbs6 ft1NoNoNo1Pro & Farm847,000$0$0$No
UFA
Lien / Lien NHL
Robert BortuzzoCheckers (Fla)D361989-03-18No206 Lbs6 ft4NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$
UFA
Lien / Lien NHL
Sam MalinskiCheckers (Fla)D271998-07-27No190 Lbs5 ft11NoNoNo4Pro & Farm1,250,000$0$0$No1,250,000$1,250,000$1,250,000$
UFA
Lien / Lien NHL
Scott ReedyCheckers (Fla)LW261999-04-04No216 Lbs6 ft2NoNoNo1Pro & Farm1,001,000$0$0$No
RFA
Lien / Lien NHL
Thomas MilicCheckers (Fla)G222003-04-14No180 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Ty NelsonCheckers (Fla)D212004-03-30Yes198 Lbs5 ft10NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien / Lien NHL
Ty YoungCheckers (Fla)G212004-09-11Yes181 Lbs6 ft3NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien / Lien NHL
Ville HeinolaCheckers (Fla)D242001-03-02No181 Lbs6 ft0NoNoNo1Pro & Farm1,119,250$0$0$No
RFA
Lien / Lien NHL
Zack MacEwenCheckers (Fla)RW291996-07-08No227 Lbs6 ft4NoNoNo2Pro & Farm800,000$0$0$No800,000$
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2526.44200 Lbs6 ft21.60923,630$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dryden HuntJames HamblinJustin Brazeau40122
2Beck MalenstynJustin RobidasMitchell Chaffee30122
3Chase DeLeoJulien Gauthier20122
4Raphael LavoieBrandon Biro10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert BortuzzoTy Nelson40122
2Jaycob MegnaVille Heinola30122
3John Ludvig20122
4Robert BortuzzoTy Nelson10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dryden HuntJames HamblinJustin Brazeau60122
2Beck MalenstynJustin RobidasMitchell Chaffee40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert BortuzzoTy Nelson60122
2Jaycob MegnaVille Heinola40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dryden HuntJustin Brazeau60122
2Mitchell ChaffeeJulien Gauthier40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert BortuzzoTy Nelson60122
2Jaycob MegnaVille Heinola40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dryden Hunt60122Robert BortuzzoTy Nelson60122
2Justin Brazeau40122Jaycob MegnaVille Heinola40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dryden HuntJustin Brazeau60122
2Mitchell ChaffeeJulien Gauthier40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Robert BortuzzoTy Nelson60122
2Jaycob MegnaVille Heinola40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dryden HuntJames HamblinJustin BrazeauRobert BortuzzoTy Nelson
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dryden HuntJames HamblinJustin BrazeauRobert BortuzzoTy Nelson
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandon Biro, Raphael Lavoie, Chase DeLeoBrandon Biro, Raphael LavoieChase DeLeo
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
John Ludvig, , Jaycob MegnaJohn Ludvig, Jaycob Megna
Tirs de pénalité
Dryden Hunt, Justin Brazeau, Mitchell Chaffee, Julien Gauthier, James Hamblin
Gardien
#1 : Thomas Milic, #2 : Jesper Vikman


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
1Bandits3020100069-32010100046-21010000023-120.3336121800391719765221218224209322439411218.18%18288.89%045086452.08%46991451.31%24546952.24%785545771225396200
2BaronsOKC2110000045-1110000003211010000013-220.50047110039171975422121822420692918658225.00%9277.78%145086452.08%46991451.31%24546952.24%785545771225396200
3Cyclones2010010035-21010000023-11000010012-110.2503580039171973122121822420731129567114.29%12283.33%045086452.08%46991451.31%24546952.24%785545771225396200
4Draveurs1010000045-1000000000001010000045-100.00048120039171972822121822420451212392150.00%60100.00%045086452.08%46991451.31%24546952.24%785545771225396200
5Eagles3030000039-62020000015-41010000024-200.000369003917197462212182242052212668400.00%12375.00%045086452.08%46991451.31%24546952.24%785545771225396200
6IceBears4200110015123210010007522100010087170.87515254000391719710522121822420118475410919631.58%26484.62%045086452.08%46991451.31%24546952.24%785545771225396200
7IceHawks11000000321000000000001100000032121.00036900391719729221218224202271423200.00%7271.43%045086452.08%46991451.31%24546952.24%785545771225396200
8Iceberg513000011322-931200000712-520100001610-430.30013233600391719710222121822420164416012016318.75%29679.31%045086452.08%46991451.31%24546952.24%785545771225396200
9Mighty Ducks1010000013-21010000013-20000000000000.0001230039171972022121822420321017286116.67%7185.71%045086452.08%46991451.31%24546952.24%785545771225396200
10National1000000112-1000000000001000000112-110.5001230039171971222121822420159430200.00%2150.00%045086452.08%46991451.31%24546952.24%785545771225396200
11Nordiques1010000015-41010000015-40000000000000.00011200391719782212182242030131317200.00%4175.00%045086452.08%46991451.31%24546952.24%785545771225396200
12Oceanic1010000025-31010000025-30000000000000.0002350039171972622121822420166828100.00%40100.00%045086452.08%46991451.31%24546952.24%785545771225396200
13Remparts1000010056-1000000000001000010056-110.5005813003917197222212182242051101043300.00%5180.00%145086452.08%46991451.31%24546952.24%785545771225396200
14Sagueneens1010000035-21010000035-20000000000000.000369003917197242212182242034914222150.00%7185.71%045086452.08%46991451.31%24546952.24%785545771225396200
15Spiders10000010321000000000001000001032121.000347003917197192212182242031816217114.29%6183.33%045086452.08%46991451.31%24546952.24%785545771225396200
16Vikings21100000642110000005231010000012-120.500610160039171974622121822420401110441000.00%4175.00%045086452.08%46991451.31%24546952.24%785545771225396200
17WolfPack20001010752100000105411000100021141.00079160039171973322121822420401333465240.00%90100.00%145086452.08%46991451.31%24546952.24%785545771225396200
Total326160332280106-2617410020104157-161526013123949-10270.42280137217003917197670221218224209252793818531072018.69%1672883.23%345086452.08%46991451.31%24546952.24%785545771225396200
_Since Last GM Reset326160332280106-2617410020104157-161526013123949-10270.42280137217003917197670221218224209252793818531072018.69%1672883.23%345086452.08%46991451.31%24546952.24%785545771225396200
_Vs Conference27514033116890-221548020103647-111216013013243-11220.4076811618400391719756022121822420807240325729931819.35%1412383.69%345086452.08%46991451.31%24546952.24%785545771225396200
_Vs Division10410032112728-1536020101314-15140120114140190.950274875003917197230221218224203068714028239923.08%631084.13%045086452.08%46991451.31%24546952.24%785545771225396200

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
3227OTW18013721767092527938185300
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
32616332280106
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
1741020104157
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
152613123949
Derniers 10 matchs
WLOTWOTL SOWSOL
251011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1072018.69%1672883.23%3
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
221218224203917197
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
45086452.08%46991451.31%24546952.24%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
785545771225396200


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
11Mighty Ducks3Checkers1BLSommaire du match
318Checkers1BaronsOKC3ALSommaire du match
640Checkers1Cyclones2ALXSommaire du match
850WolfPack4Checkers5BWXXSommaire du match
1170Checkers2Eagles4ALSommaire du match
1382IceBears3Checkers4BWXSommaire du match
1594Checkers2WolfPack1AWXSommaire du match
17110Iceberg4Checkers2BLSommaire du match
21137Cyclones3Checkers2BLSommaire du match
22143Checkers3IceBears4ALXSommaire du match
26170Bandits3Checkers0BLSommaire du match
29186Checkers2Bandits3ALSommaire du match
31200BaronsOKC2Checkers3BWSommaire du match
33218Checkers5Remparts6ALXSommaire du match
34230Eagles3Checkers1BLSommaire du match
36240Checkers3Iceberg6ALSommaire du match
38262Iceberg6Checkers1BLSommaire du match
41283IceBears2Checkers3BWSommaire du match
44304Checkers4Draveurs5ALSommaire du match
46315Vikings2Checkers5BWSommaire du match
48334Checkers3Iceberg4ALXXSommaire du match
49336Checkers3IceHawks2AWSommaire du match
52356Eagles2Checkers0BLSommaire du match
54372Checkers1National2ALXXSommaire du match
56385Iceberg2Checkers4BWSommaire du match
59410Oceanic5Checkers2BLSommaire du match
62433Checkers5IceBears3AWSommaire du match
63444Nordiques5Checkers1BLSommaire du match
66464Checkers3Spiders2AWXXSommaire du match
67473Sagueneens5Checkers3BLSommaire du match
69490Checkers1Vikings2ALSommaire du match
71503Bandits3Checkers4BWXSommaire du match
74528Thunder-Checkers-
76536Checkers-Remparts-
78555Checkers-Sagueneens-
80567Roadrunners-Checkers-
82585Checkers-Iceberg-
83596IceHawks-Checkers-
86616Checkers-Draveurs-
87625Checkers-Eagles-
88635Draveurs-Checkers-
92660Bandits-Checkers-
94676Checkers-IceBears-
96689Magics-Checkers-
99711Checkers-HC-
101722Senators-Checkers-
104742Checkers-Wolves-
105751Mighty Ducks-Checkers-
108772Checkers-Draveurs-
110783Pantheres-Checkers-
112800Checkers-Roadrunners-
114812Mighty Ducks-Checkers-
118838EvilSharks-Checkers-
120853Checkers-Mighty Ducks-
122871Remparts-Checkers-
124881Checkers-Sagueneens-
126901Checkers-WolfPack-
127909Darkness-Checkers-
130929Checkers-IceHawks-
131938BaronsOKC-Checkers-
134963Checkers-WolfPack-
135970Griffins-Checkers-
137988Checkers-Bandits-
139999Checkers-Nordiques-
1401010IceBears-Checkers-
1431031Cyclones-Checkers-
1451048Checkers-BigBadStars-
1471061Checkers-BaronsOKC-
1481068SilverKnights-Checkers-
1511086Checkers-Bandits-
1531100Cyclones-Checkers-
1551118Checkers-BaronsOKC-
1561123Checkers-Eagles-
1571134WolfPack-Checkers-
1591150Checkers-SilverKnights-
1611158Checkers-IceHogs-
1621170Checkers-Cyclones-
1631178BaronsOKC-Checkers-
1671203Checkers-Cyclones-
1681207WolfPack-Checkers-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1721232Eagles-Checkers-
1781265HC-Checkers-



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
1Magnus Paajarvi-Svensson1682279473752108165920252330263010.61%9142714716.1452921442726101666381353.87%100.551643
2Jeff Friesen3539198189-2514835965177511.74%93669018.952140611402242518641.23%00.56531
3Nikita Filatov42459971561932795676319.35%72620514.6412203211001177640.11%00.50511
4Mitchell Chaffee27080731531416537333359113.54%45465717.25132538113303149843.66%20.66212
5Jordan Schroeder1446680146-308123325547413.92%89316421.98162743551121210553.19%40.9228

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
1Vesa Toskala142705590.8962.2782208183112984712410.86351
2Niklas Backstrom140706070.8892.7982164438234470330.79759
3Scott Darling109624070.9132.246548141224427943200.72272
4Pascal Leclaire1296053130.8982.837580476357348316571020.66748
5Jonas Johansson102514240.9022.6557684825525910030.77827

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
203680205100540167261-944013230022092128-36407280032075133-585316729646312046635413990449474461205860583318223324413.25%3446780.52%21220202760.19%1240221855.91%686118357.99%202814101802553999522
203782293503438220235-1541151502126114116-241142001312106119-13822203765961371727110190264160963055207563786019494066516.01%3595584.68%11353238256.80%1371236657.95%713124257.41%2184154617895651019537
203878264001434211247-3639161700114116128-123910230132095119-2468211381592156973657181261058259551204961682718323394713.86%3594487.74%31297214060.61%1205214456.20%719116961.51%199314111772545962498
2039326160332280106-2617410020104157-161526013123949-102780137217003917197670221218224209252793818531072018.69%1672883.23%345086452.08%46991451.31%24546952.24%785545771225396200
Total Saison régulière2728114207161214678849-1711374865044610363429-661353377031264315420-105230678119018683101792082187857831472185819235877107213729016456118417614.86%122919484.21%94320741358.28%4285764256.07%2363406358.16%699149146136189033761758

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
1Magnus Paajarvi-Svensson3246810617410034644444561611.04%247534916.51132336654482111555.34%00.6500
2Jeff Friesen55141125-417421069215.22%12112620.492461510143137.26%00.4400
3Dougie Hamilton247132034283405014.00%2655523.145712360221110.00%00.7200
4Sven Baertschi2711920-51319778213.41%754920.344151310124033.88%00.7300
5Petr Cajanek135111651420434311.63%832024.65213703362066.18%01.0000

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
1Rick DiPietro2413830.9101.79154421465110000.0000
2Jason Labarbera1811340.9092.8410972052574265300.0000
3Vesa Toskala189720.9071.61111803303240000.0000
4Pascal Leclaire136520.9042.757410034353186000.0000
5Scott Darling94500.8873.5554100322820000.0000