Connexion


Centre de jeu
Draveurs
8-7-1, 17pts
5
FINAL
4 Checkers
4-11-1, 9pts
Team Stats
OTW1StreakSOL1
4-3-1Home Record2-5-1
4-4-0Away Record2-6-0
6-4-0Last 10 Games2-7-1
4.25Buts par match 2.25
4.31Buts contre par match 3.19
15.15%Pourcentage en avantage numérique4.62%
79.41%Pourcentage en désavantage numérique87.34%
IceBears
4-12-1, 9pts
4
FINAL
3 Checkers
4-11-1, 9pts
Team Stats
L1StreakSOL1
1-7-0Home Record2-5-1
3-5-1Away Record2-6-0
3-7-0Last 10 Games2-7-1
2.53Buts par match 2.25
4.18Buts contre par match 3.19
10.61%Pourcentage en avantage numérique4.62%
84.48%Pourcentage en désavantage numérique87.34%
Pantheres
11-4-2, 24pts
Jour 36
Checkers
4-11-1, 9pts
Stats Équipe
W3SéquenceSOL1
3-3-2Fiche domicile2-5-1
8-1-0Fiche visiteur2-6-0
6-3-110 derniers matchs2-7-1
4.24Buts par match 2.25
3.18Buts contre par match 3.19
18.29%Pourcentage en avantage numérique4.62%
76.67%Pourcentage en désavantage numérique87.34%
Checkers
4-11-1, 9pts
Jour 38
Vikings
10-3-4, 24pts
Stats Équipe
SOL1SéquenceW1
2-5-1Fiche domicile4-0-4
2-6-0Fiche visiteur6-3-0
2-7-110 derniers matchs6-2-2
2.25Buts par match 3.12
3.19Buts contre par match 2.47
4.62%Pourcentage en avantage numérique17.65%
87.34%Pourcentage en désavantage numérique91.04%
Bandits
7-8-1, 15pts
Jour 40
Checkers
4-11-1, 9pts
Stats Équipe
W1SéquenceSOL1
5-3-0Fiche domicile2-5-1
2-5-1Fiche visiteur2-6-0
4-6-010 derniers matchs2-7-1
3.56Buts par match 2.25
3.38Buts contre par match 3.19
14.81%Pourcentage en avantage numérique4.62%
85.92%Pourcentage en désavantage numérique87.34%
Meneurs d'équipe
Dryden HuntButs
Dryden Hunt
4
Julien GauthierPasses
Julien Gauthier
8
Julien GauthierPoints
Julien Gauthier
9
Julien GauthierPlus/Moins
Julien Gauthier
5
Thomas MilicVictoires
Thomas Milic
1
Thomas MilicPourcentage d’arrêts
Thomas Milic
0.871

Stats Équipe
Buts pour
36
2.25 GFG
Tirs pour
382
23.88 Avg
Pourcentage en avantage numérique
4.6%
3 GF
Début de zone offensive
40.2%
Buts contre
51
3.19 GAA
Tirs contre
403
25.19 Avg
Pourcentage en désavantage numérique
87.3%
10 GA
Début de la zone défensive
39.0%
Information d’équipe
Directeur généralJean-Francis Grondin
EntraîneurMike Yeo
DivisionCentral
ConférenceWestern
CapitaineJonathon Merrill
Assistant #1Scott Sabourin
Assistant #2Vinni Lettieri
Informations de l’aréna
Capacité3,000
Assistance0
Billets de saison300
Information formation
Équipe Pro22
Équipe Mineure20
Limite contact 42 / 50
Espoirs22
Historique d'équipe
Saison actuelle4-11-1 (9PTS)
Historique63-97-12 (0.366%)
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 HuntX100.009954858058736257405559674082784517630293575,000$
2Julien GauthierX100.0095598475827262594052656040787555206302731,000,000$
3Mitchell ChaffeeX100.009947877859746455404861694076756015620261770,000$
4Reese JohnsonX100.009967717560737250874654684076756016610261770,000$
5Vinni Lettieri (A)X100.006742807949717553844759654082774517610291800,000$
6Chase DeLeoX100.007542848448615163407054504082724517600292600,000$
7Brandon BiroX100.005350818144685855705852704076726017600261715,000$
8James HamblinX100.005143907750686449864355664074716517570251715,000$
9Maxim Groshev (R)X100.005445838463766643404442704070737517570233925,000$
10Rory Kerins (R)X100.004944879054635349704454604068668018570223925,000$
11Scott ReedyX100.004952907572605049403464614074676517560251910,000$
12Scott Sabourin (A)X100.009053257570685844403355574088783018560321750,000$
13William LagessonX100.008563747571747049404850724080775017660281800,000$
14Jonathon Merrill (C)X100.0053528175697187534049586840888030176503211,000,000$
15John LudvigX100.0091836276706966534045616440727170166402411,017,500$
16Ville HeinolaX100.0056467881505550574054607040706375176102311,017,500$
17Maxime LajoieX100.0054457875595550464052406240786755175702711,512,500$
18Tyson Hinds (R)X100.006056788263757031402933524066718518560213925,000$
Rayé
1Jacob PerreaultX100.0065566175596050444042455740686480195302211,017,500$
2Filip RoosX100.005950837562635837403934504074696520550251632,500$
MOYENNE D’ÉQUIPE 100.00705277786167625050475363407672601760
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
1Thomas Milic (R)100.00906061825251545556505066598519590213925,000$
2Jesper Vikman (R)100.00815060945050505050505068598019570222750,000$
Rayé
MOYENNE D’ÉQUIPE100.0086556188515152535350506759831958
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Mike Yeo50624756819068CAN512150,000$


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
1Julien GauthierCheckers (Fla)RW15189510031234615262.17%531621.070118490005600058.33%2400000.5711000012
2Dryden HuntCheckers (Fla)LW1644848028474512288.89%335222.0000010580001700046.62%14800000.4501000010
3Jonathon MerrillCheckers (Fla)D16268000423263207.69%1836522.830111153000061000.00%000000.4400000101
4Reese JohnsonCheckers (Fla)C16448449534352382017.39%228317.740117540000242066.44%28900000.5601001200
5Chase DeLeoCheckers (Fla)LW1643736033028111214.29%126316.470004520000170135.71%1400000.5300000110
6Brandon BiroCheckers (Fla)RW16437-4603231461528.57%320312.71000119000010054.55%2200000.6900000001
7Vinni LettieriCheckers (Fla)C16156000742246214.17%324815.56011347000040064.50%26200000.4811000001
8William LagessonCheckers (Fla)D162463320671617101511.76%2436722.95101859000146000.00%000000.3300000010
9Mitchell ChaffeeCheckers (Fla)RW142351803724274187.41%224817.730004430000290138.64%4400000.4001000110
10Ville HeinolaCheckers (Fla)D16055-820912161090.00%1728918.11000732000035000.00%000000.3500000000
11Maxim GroshevCheckers (Fla)LW16145-7801615144197.14%518011.3100000000180075.00%1200000.5501000001
12Maxime LajoieCheckers (Fla)D16044-6801096220.00%2025315.8600026000116000.00%000000.3200000000
13Rory KerinsCheckers (Fla)C16314-7201272501112.00%21499.3200001000050059.48%11600000.5400000012
14Simon BenoitPanthersD5303140207751242.86%611823.78101423000017100.00%000000.5000000110
15James HamblinCheckers (Fla)C16112-400321157126.67%218111.32000000000180058.44%15400000.2200000000
16Nico SturmPanthersC2022000148230.00%14924.79011411000070085.48%6200000.8100000010
17Scott ReedyCheckers (Fla)LW16022-60041413790.00%11288.0600000000010050.00%800000.3100000000
18Tyson HindsCheckers (Fla)D12022-1802353130.00%318615.5100003000023000.00%000000.2100000000
19John LudvigCheckers (Fla)D16101-53356912173145.88%2032820.521011050000051000.00%000000.0600000001
20Scott SabourinCheckers (Fla)RW5101-28012140225.00%0387.7800000000000075.00%400000.5100000100
21Jacob PerreaultCheckers (Fla)RW1000-100110000.00%077.4300000000000050.00%1000000.0000000000
Statistiques d’équipe totales ou en moyenne278346195-30192103833913781162718.99%138456116.413588356900095033260.82%116900000.4226001789
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)31110.8713.591840011850000.5006313010
Statistiques d’équipe totales ou en moyenne31110.8713.591840011850000.5006313010


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 2038 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2039 204020412042204320442045Salaire annuel 9Salaire annuel 10Link
Brandon BiroCheckers (Fla)RW261998-03-11No170 Lbs5 ft11NoNoNo1Pro & Farm715,000$0$0$No
RFA
Lien / Lien NHL
Chase DeLeoCheckers (Fla)LW291995-10-25No186 Lbs5 ft9NoNoNo2Pro & Farm600,000$0$0$No600,000$
UFA
Lien / Lien NHL
Dryden HuntCheckers (Fla)LW291995-11-24No193 Lbs6 ft0NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
UFA
Lien / Lien NHL
Filip RoosCheckers (Fla)D251999-01-05No190 Lbs6 ft3NoNoNo1Pro & Farm632,500$0$0$No
RFA
Lien / Lien NHL
Jacob PerreaultCheckers (Fla)RW222002-04-15No196 Lbs6 ft0NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Lien / Lien NHL
James HamblinCheckers (Fla)C251999-04-27No185 Lbs5 ft10NoNoNo1Pro & Farm715,000$0$0$No
RFA
Lien / Lien NHL
Jesper VikmanCheckers (Fla)G222002-03-11Yes205 Lbs6 ft4NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien NHL
John LudvigCheckers (Fla)D242000-08-02No213 Lbs6 ft1NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Lien / Lien NHL
Jonathon MerrillCheckers (Fla)D321992-02-03No204 Lbs6 ft3NoNoNo1Pro & Farm1,000,000$0$0$No
UFA
Lien / Lien NHL
Julien GauthierCheckers (Fla)RW271997-10-15No226 Lbs6 ft4NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$
UFA
Lien / Lien NHL
Maxim GroshevCheckers (Fla)LW232001-12-14Yes196 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien NHL
Maxime LajoieCheckers (Fla)D271997-11-05No191 Lbs6 ft1NoNoNo1Pro & Farm1,512,500$0$0$No
UFA
Lien / Lien NHL
Mitchell ChaffeeCheckers (Fla)RW261998-01-26No192 Lbs6 ft1NoNoNo1Pro & Farm770,000$0$0$No
RFA
Lien / Lien NHL
Reese JohnsonCheckers (Fla)C261998-07-10No193 Lbs6 ft1NoNoNo1Pro & Farm770,000$0$0$No
RFA
Lien / Lien NHL
Rory KerinsCheckers (Fla)C222002-04-12Yes190 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien NHL
Scott ReedyCheckers (Fla)LW251999-04-04No214 Lbs6 ft2NoNoNo1Pro & Farm910,000$0$0$No
RFA
Lien / Lien NHL
Scott SabourinCheckers (Fla)RW321992-07-30No205 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$No
UFA
Lien / Lien NHL
Thomas MilicCheckers (Fla)G212003-04-14Yes180 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien NHL
Tyson HindsCheckers (Fla)D212003-03-12Yes192 Lbs6 ft3NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien NHL
Ville HeinolaCheckers (Fla)D232001-03-02No181 Lbs5 ft11NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Lien / Lien NHL
Vinni LettieriCheckers (Fla)C291995-02-06No184 Lbs5 ft10NoNoNo1Pro & Farm800,000$0$0$No
UFA
Lien / Lien NHL
William LagessonCheckers (Fla)D281996-02-22No211 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2225.64195 Lbs6 ft11.64866,023$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dryden HuntReese JohnsonJulien Gauthier40122
2Chase DeLeoVinni LettieriMitchell Chaffee30122
3Maxim GroshevJames HamblinBrandon Biro20122
4Scott ReedyRory KerinsScott Sabourin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1William LagessonJonathon Merrill40122
2John LudvigVille Heinola30122
3Maxime LajoieTyson Hinds20122
4William LagessonJonathon Merrill10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dryden HuntReese JohnsonJulien Gauthier60122
2Chase DeLeoVinni LettieriMitchell Chaffee40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William LagessonJonathon Merrill60122
2John LudvigVille Heinola40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dryden HuntJulien Gauthier60122
2Mitchell ChaffeeReese Johnson40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William LagessonJonathon Merrill60122
2John LudvigVille Heinola40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dryden Hunt60122William LagessonJonathon Merrill60122
2Julien Gauthier40122John LudvigVille Heinola40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dryden HuntJulien Gauthier60122
2Mitchell ChaffeeReese Johnson40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1William LagessonJonathon Merrill60122
2John LudvigVille Heinola40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dryden HuntReese JohnsonJulien GauthierWilliam LagessonJonathon Merrill
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dryden HuntReese JohnsonJulien GauthierWilliam LagessonJonathon Merrill
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandon Biro, James Hamblin, Maxim GroshevBrandon Biro, James HamblinMaxim Groshev
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Maxime Lajoie, Tyson Hinds, John LudvigMaxime LajoieTyson Hinds, John Ludvig
Tirs de pénalité
Dryden Hunt, Julien Gauthier, Mitchell Chaffee, Reese Johnson, Vinni Lettieri
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
1Bandits1010000004-4000000000001010000004-400.000000009161122713112812182716816300.00%40100.00%028246460.78%28145162.31%14424060.00%425302345111193102
2BaronsOKC1010000013-21010000013-20000000000000.00012300916112381311281218276828300.00%40100.00%028246460.78%28145162.31%14424060.00%425302345111193102
3Draveurs2110000010821010000045-11100000063320.50010172700916112541311281218601830547114.29%14285.71%028246460.78%28145162.31%14424060.00%425302345111193102
4Eagles2020000047-31010000023-11010000024-200.0004590091611243131128121837181452400.00%6183.33%028246460.78%28145162.31%14424060.00%425302345111193102
5IceBears1000000134-11000000134-10000000000010.500369009161122813112812182521025700.00%4175.00%028246460.78%28145162.31%14424060.00%425302345111193102
6Iceberg1010000012-1000000000001010000012-100.0001230091611228131128121834192722400.00%70100.00%028246460.78%28145162.31%14424060.00%425302345111193102
7Mighty Ducks2020000005-51010000002-21010000003-300.00000000916112341311281218631624421000.00%11190.91%028246460.78%28145162.31%14424060.00%425302345111193102
8Remparts3210000010100110000003122110000079-240.66710192900916112751311281218932032761218.33%14192.86%028246460.78%28145162.31%14424060.00%425302345111193102
9Vikings1010000035-21010000035-20000000000000.0003470091611222131128121815910314125.00%5260.00%028246460.78%28145162.31%14424060.00%425302345111193102
10WolfPack21100000431110000002021010000023-120.500471101916112331311281218221435421100.00%10280.00%028246460.78%28145162.31%14424060.00%425302345111193102
Total16411000013651-15825000011823-5826000001828-1090.2813662980191611238213112812184031381983886534.62%791087.34%028246460.78%28145162.31%14424060.00%425302345111193102
_Since Last GM Reset16411000013651-15825000011823-5826000001828-1090.2813662980191611238213112812184031381983886534.62%791087.34%028246460.78%28145162.31%14424060.00%425302345111193102
_Vs Conference16411000013651-15825000011823-5826000001828-1090.2813662980191611238213112812184031381983886534.62%791087.34%028246460.78%28145162.31%14424060.00%425302345111193102
_Vs Division2160000138-51120000134-11040000004-430.75036900916112551311281218521818411000.00%8187.50%028246460.78%28145162.31%14424060.00%425302345111193102

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
169SOL136629838240313819838801
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1641100013651
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
82500011823
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
82600001828
Derniers 10 matchs
WLOTWOTL SOWSOL
270001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
6534.62%791087.34%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
1311281218916112
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
28246460.78%28145162.31%14424060.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
425302345111193102


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
17Checkers3Remparts6ALSommaire du match
320Remparts1Checkers3BWSommaire du match
536Mighty Ducks2Checkers0BLSommaire du match
753Checkers0Mighty Ducks3ALSommaire du match
964Checkers1Iceberg2ALSommaire du match
1180Checkers4Remparts3AWSommaire du match
1288Eagles3Checkers2BLSommaire du match
15109BaronsOKC3Checkers1BLSommaire du match
17126Checkers2WolfPack3ALSommaire du match
19140Checkers0Bandits4ALSommaire du match
20152WolfPack0Checkers2BWSommaire du match
23172Checkers2Eagles4ALSommaire du match
24179Vikings5Checkers3BLSommaire du match
26195Checkers6Draveurs3AWSommaire du match
28212Draveurs5Checkers4BLSommaire du match
32234IceBears4Checkers3BLXXSommaire du match
36260Pantheres-Checkers-
38267Checkers-Vikings-
40285Bandits-Checkers-
43305Checkers-National-
45321IceHogs-Checkers-
48345Vikings-Checkers-
51363Checkers-Wolves-
53376IceBears-Checkers-
55395Checkers-IceHawks-
57408Nordiques-Checkers-
60428Checkers-Draveurs-
62439BaronsOKC-Checkers-
64455Checkers-SilverKnights-
66469HC-Checkers-
68485Checkers-Vikings-
70500Remparts-Checkers-
71513Checkers-Remparts-
74532WolfPack-Checkers-
75545Checkers-EvilSharks-
78562Bandits-Checkers-
80578Checkers-Sagueneens-
82593Mighty Ducks-Checkers-
87623Roadrunners-Checkers-
89642Checkers-Bandits-
91654Roadrunners-Checkers-
94673Checkers-Mighty Ducks-
95687National-Checkers-
98702Checkers-SilverKnights-
100716Eagles-Checkers-
104746Cyclones-Checkers-
106756Checkers-WolfPack-
108772Checkers-Cyclones-
109782HC-Checkers-
111802Checkers-Cyclones-
113812Checkers-Spiders-
115825Draveurs-Checkers-
118842Oceanic-Checkers-
121869Senators-Checkers-
122877Checkers-Nordiques-
126901SilverKnights-Checkers-
127910Checkers-Iceberg-
130927Checkers-Thunder-
131936Nordiques-Checkers-
133956Checkers-BaronsOKC-
135966SilverKnights-Checkers-
136982Checkers-Roadrunners-
138996Checkers-Magics-
1401007Griffins-Checkers-
1431028Darkness-Checkers-
1441033Checkers-Eagles-
1451042Checkers-Roadrunners-
1471059Iceberg-Checkers-
1491073Checkers-Nordiques-
1521089Iceberg-Checkers-
1571119Thunder-Checkers-
1591133Checkers-BaronsOKC-
1611149Checkers-IceBears-
1621153Cyclones-Checkers-
1641161Checkers-HC-
1671180Checkers-IceBears-
1681183Checkers-HC-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1721193BigBadStars-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
4Jordan Schroeder1446680146-308123325547413.92%89316421.98162743551121210553.19%40.9228
5Mike Amadio1395481135-19348553344012.27%47319422.9815284390000710257.22%00.85312

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
203816411000013651-15825000011823-5826000001828-1093662980191611238213112812184031381983886534.62%791087.34%028246460.78%28145162.31%14424060.00%425302345111193102
Total Saison régulière178539703979423547-12489304302347224267-4389235401632199280-811444237341157268013414566368377211861225524453613801891415980311213.95%78213283.12%32855487358.59%2892503557.44%1543266557.90%463832603936122922121162

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