Connexion


Centre de jeu
Cyclones
34-37-6, 74pts
4
FINAL
3 Checkers
28-39-8, 64pts
Team Stats
L1StreakL1
18-16-4Home Record17-16-5
16-21-2Away Record11-23-3
5-5-0Last 10 Games2-6-2
2.73Buts par match 2.67
2.96Buts contre par match 3.13
16.76%Pourcentage en avantage numérique13.04%
82.92%Pourcentage en désavantage numérique87.72%
Checkers
28-39-8, 64pts
1
FINAL
2 HC
43-25-7, 93pts
Team Stats
L1StreakW1
17-16-5Home Record27-8-3
11-23-3Away Record16-17-4
2-6-2Last 10 Games3-5-2
2.67Buts par match 4.28
3.13Buts contre par match 3.89
13.04%Pourcentage en avantage numérique19.40%
87.72%Pourcentage en désavantage numérique82.73%
Checkers
28-39-8, 64pts
Jour 167
IceBears
20-47-7, 47pts
Stats Équipe
L1SéquenceL1
17-16-5Fiche domicile10-24-4
11-23-3Fiche visiteur10-23-3
2-6-210 derniers matchs2-6-2
2.67Buts par match 3.01
3.13Buts contre par match 4.23
13.04%Pourcentage en avantage numérique15.44%
87.72%Pourcentage en désavantage numérique79.33%
Checkers
28-39-8, 64pts
Jour 168
HC
43-25-7, 93pts
Stats Équipe
L1SéquenceW1
17-16-5Fiche domicile27-8-3
11-23-3Fiche visiteur16-17-4
2-6-210 derniers matchs3-5-2
2.67Buts par match 4.28
3.13Buts contre par match 3.89
13.04%Pourcentage en avantage numérique19.40%
87.72%Pourcentage en désavantage numérique82.73%
BigBadStars
43-24-5, 91pts
Jour 172
Checkers
28-39-8, 64pts
Stats Équipe
L1SéquenceL1
22-13-3Fiche domicile17-16-5
21-11-2Fiche visiteur11-23-3
6-4-010 derniers matchs2-6-2
2.72Buts par match 2.67
2.39Buts contre par match 3.13
16.91%Pourcentage en avantage numérique13.04%
87.07%Pourcentage en désavantage numérique87.72%
Meneurs d'équipe
Mitchell ChaffeeButs
Mitchell Chaffee
26
Dryden HuntPasses
Dryden Hunt
37
Dryden HuntPoints
Dryden Hunt
60
Vinni LettieriPlus/Moins
Vinni Lettieri
14
Thomas MilicVictoires
Thomas Milic
15
Thomas MilicPourcentage d’arrêts
Thomas Milic
0.886

Stats Équipe
Buts pour
200
2.67 GFG
Tirs pour
1731
23.08 Avg
Pourcentage en avantage numérique
13.0%
42 GF
Début de zone offensive
39.3%
Buts contre
235
3.13 GAA
Tirs contre
1961
26.15 Avg
Pourcentage en désavantage numérique
87.7%
42 GA
Début de la zone défensive
39.4%
Information d’équipe
Directeur généralJean-Francis Grondin
EntraîneurRyan Warsofsky
DivisionCentral
ConférenceWestern
Capitaine
Assistant #1Scott Sabourin
Assistant #2Vinni Lettieri
Informations de l’aréna
Capacité3,000
Assistance0
Billets de saison300
Information formation
Équipe Pro24
Équipe Mineure20
Limite contact 44 / 50
Espoirs24
Historique d'équipe
Saison actuelle28-39-8 (64PTS)
Historique87-125-16 (0.382%)
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 HuntX100.009954858058736257405559674082784520630293575,000$
2Mitchell ChaffeeX100.009947877859746455404861694076756023620261770,000$
3Chase DeLeoX100.007542848448615163407054504082724522610292600,000$
4Reese JohnsonX100.009967717560737250874654684076756022610261770,000$
5Vinni Lettieri (A)X100.006742807949717553844759654082774520610291800,000$
6Raphael LavoieX100.0080687175777565564047656140727470166102411,017,500$
7Brandon BiroX100.005350818144685855705852704076726027600261715,000$
8Zack MacEwenX100.008389527589656449974355614080735021600283800,000$
9James HamblinX100.005143907750686449864355664074716524570251715,000$
10Maxim Groshev (R)X100.005445838463766643404442704070737520570233925,000$
11Scott ReedyX100.004952907572605049403464614074676521560251910,000$
12Scott Sabourin (A)X100.009053257570685844403355574088783021560321750,000$
13William LagessonX100.008563747571747049404850724080775019660281800,000$
14Nils LundkvistX100.005747858058738359406454654072737031650241825,000$
15John LudvigX100.0091836276706966534045616440727170226402411,017,500$
16Ville HeinolaX100.0056467881505550574054607040706375226102311,017,500$
17Maxime LajoieX100.0054457875595550464052406240786755235702711,512,500$
18Tyson Hinds (R)X100.006056788263757031402933524066718520560213925,000$
19Filip RoosX100.005950837562635837403934504074696516550251632,500$
Rayé
1Jacob PerreaultX100.0065566175596050444042455740686480195302211,017,500$
2Ville Koivunen (R)X100.005045837554605028702037504066638520460212925,000$
MOYENNE D’ÉQUIPE 100.00705475786167624952465262407572622159
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)100.00906061825251545556505066598556600213925,000$
2Jesper Vikman (R)100.00815060945050505050505068598028580222750,000$
Rayé
1Dylan Ferguson100.00755060865050505050508376636024570263575,000$
MOYENNE D’ÉQUIPE100.0082536087515051525250617060753658
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ryan Warsofsky50505050665098USA373200,000$


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
1Dryden HuntCheckers (Fla)LW75233760-64001071802025511311.39%28164921.99411155327600053043044.59%66600000.7306000492
2Mitchell ChaffeeCheckers (Fla)RW7326234973801401191945212313.40%19143119.6238114125410162153240.97%14400020.6815000754
3Chase DeLeoCheckers (Fla)LW75123446712027134108409611.11%3124716.6411213142521011941240.95%10500000.7402000516
4Reese JohnsonCheckers (Fla)C75172643-1610810165187111339115.32%12134417.927714302690113912166.59%134100000.6402011522
5Vinni LettieriCheckers (Fla)C75162642142020177126339112.70%14124516.613710292540001511162.77%132700000.6712000144
6Ville HeinolaCheckers (Fla)D7593241-9120498579295511.39%83134317.915712401550001158210.00%000000.6100000153
7Nils LundkvistCheckers (Fla)D6683139-6295538575214510.67%58138220.954711452230220197100.00%000000.5600001123
8Zack MacEwenCheckers (Fla)RW74172037-128915146103135218512.59%1197613.191232071000001265.75%7300000.7613111662
9William LagessonCheckers (Fla)D7573037-1413915321827534569.33%99172022.944913402660001220100.00%000000.4311021325
10Jonathon MerrillPanthersD6292231-940106381315511.11%77138122.29347382150112215120.00%000000.4500000114
11Brandon BiroCheckers (Fla)C75131629-1712016125100337313.00%1198313.110228108000151053.93%19100000.5900000126
12Raphael LavoieCheckers (Fla)RW5912142684357661119308010.08%1083614.1812311780221801044.54%11900000.6200000315
13Hendrix LapierrePanthersLW2513112450005660113721.67%747318.95651121760001542056.85%49600001.0100000421
14Julien GauthierPanthersRW3981523-7160546210231617.84%883521.413472514200061560144.26%6100000.5524000122
15John LudvigCheckers (Fla)D7581220014810323638530549.41%67151920.26617412520000207300.00%000000.2600100254
16Maxim GroshevCheckers (Fla)LW7591120-25120369874225812.16%1593612.490112100002641050.70%7100000.4301000212
17James HamblinCheckers (Fla)C676915-182061217332558.22%1078011.65011041011621061.30%64600000.3800000011
18Maxime LajoieCheckers (Fla)D7521214-1732010041258138.00%60118015.74000432000275000.00%000000.2400000110
19Scott ReedyCheckers (Fla)LW756814-7409467924497.59%45877.8300000000021143.75%3200010.4800000111
20Scott SabourinCheckers (Fla)RW64549-9560108223473214.71%25919.2300027000000151.72%2900000.3000000121
21Tyson HindsCheckers (Fla)D71066-1174101331513460.00%3794513.320003170000101000.00%000000.1300020011
22Jacob PerreaultCheckers (Fla)RW26235-5100212481525.00%31997.6700003000001040.00%7500000.5000000101
23Simon BenoitPanthersD5303140207751242.86%611823.78101423000017100.00%000000.5000000110
24Nico SturmPanthersC2022000148230.00%14924.79011411000070085.48%6200000.8100000010
25Filip RoosCheckers (Fla)D11011-420401020.00%4666.0400012000011000.00%000000.3000000010
Statistiques d’équipe totales ou en moyenne1469231405636-15088870194519601974589135011.70%6492382716.2252911434763012369342396281458.51%543800030.53626264525960
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)30151320.8862.69180803817080010.66793018221
2Jesper VikmanCheckers (Fla)2561260.8823.45147761857180000.667152438201
3Dylan FergusonCheckers (Fla)84400.8823.3045500252110000.000087100
Statistiques d’équipe totales ou en moyenne63252980.8833.0637416419116370010.667246263522


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)C261998-03-11No170 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
Dylan FergusonCheckers (Fla)G261998-09-20No183 Lbs6 ft2NoNoNo3Pro & 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
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
Nils LundkvistCheckers (Fla)D242000-07-27No190 Lbs6 ft1NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Raphael LavoieCheckers (Fla)RW242000-09-25No215 Lbs6 ft4NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Lien / Lien NHL
Reese JohnsonCheckers (Fla)C261998-07-10No193 Lbs6 ft1NoNoNo1Pro & Farm770,000$0$0$No
RFA
Lien / 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
Ville KoivunenCheckers (Fla)C212003-06-13Yes167 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$
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
Zack MacEwenCheckers (Fla)RW281996-07-08No240 Lbs6 ft4NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.25195 Lbs6 ft11.63844,583$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dryden HuntReese JohnsonMitchell Chaffee40122
2Chase DeLeoVinni LettieriRaphael Lavoie30122
3Maxim GroshevBrandon BiroZack MacEwen20122
4Scott ReedyJames HamblinScott Sabourin10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1William LagessonNils Lundkvist40122
2John LudvigVille Heinola30122
3Maxime LajoieTyson Hinds20122
4Filip RoosWilliam Lagesson10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Dryden HuntReese JohnsonMitchell Chaffee60122
2Chase DeLeoVinni LettieriRaphael Lavoie40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William LagessonNils Lundkvist60122
2John LudvigVille Heinola40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dryden HuntMitchell Chaffee60122
2Chase DeLeoRaphael Lavoie40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1William LagessonNils Lundkvist60122
2John LudvigVille Heinola40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Dryden Hunt60122William LagessonNils Lundkvist60122
2Mitchell Chaffee40122John LudvigVille Heinola40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dryden HuntMitchell Chaffee60122
2Chase DeLeoRaphael Lavoie40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1William LagessonNils Lundkvist60122
2John LudvigVille Heinola40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dryden HuntReese JohnsonMitchell ChaffeeWilliam LagessonNils Lundkvist
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Dryden HuntReese JohnsonMitchell ChaffeeWilliam LagessonNils Lundkvist
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Brandon Biro, Zack MacEwen, James HamblinBrandon Biro, Zack MacEwenJames Hamblin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Maxime Lajoie, Tyson Hinds, Filip RoosMaxime LajoieTyson Hinds, Filip Roos
Tirs de pénalité
Dryden Hunt, Mitchell Chaffee, Chase DeLeo, Raphael Lavoie, Reese Johnson
Gardien
#1 : Jesper Vikman, #2 :


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
TotalDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Bandits412000101316-32100001010732020000039-640.5001323360065706261015855545734212038458016212.50%19289.47%01237205060.34%1155205456.23%678111161.03%191213551706524923477
2BaronsOKC40400000714-72020000047-32020000037-400.000714210065706261245855545734213145359718211.11%150100.00%01237205060.34%1155205456.23%678111161.03%191213551706524923477
3Cyclones41200001990210000016422020000035-230.3759162501657062672585554573426424309414214.29%13376.92%01237205060.34%1155205456.23%678111161.03%191213551706524923477
4Darkness11000000303110000003030000000000021.0003690165706262358555457342469819300.00%40100.00%01237205060.34%1155205456.23%678111161.03%191213551706524923477
5Draveurs4220000016142211000007702110000097240.50016284400657062611058555457342113344410314321.43%21385.71%01237205060.34%1155205456.23%678111161.03%191213551706524923477
6Eagles41300000811-3211000005412020000037-420.2508122000657062678585554573427524461061119.09%17288.24%11237205060.34%1155205456.23%678111161.03%191213551706524923477
7EvilSharks1000010023-1000000000001000010023-110.50023500657062614585554573422488253133.33%4175.00%01237205060.34%1155205456.23%678111161.03%191213551706524923477
8Griffins1010000036-31010000036-30000000000000.00035800657062623585554573421616246116.67%3166.67%01237205060.34%1155205456.23%678111161.03%191213551706524923477
9HC30300000611-52020000059-41010000012-100.0006915006570626725855545734211732326314214.29%16193.75%01237205060.34%1155205456.23%678111161.03%191213551706524923477
10IceBears30200001713-620100001510-51010000023-110.167714210065706267558555457342802639781400.00%16381.25%01237205060.34%1155205456.23%678111161.03%191213551706524923477
11IceHawks11000000422000000000001100000042221.000471100657062630585554573421831228200.00%6183.33%01237205060.34%1155205456.23%678111161.03%191213551706524923477
12IceHogs1010000023-11010000023-10000000000000.0002460065706262258555457342229825500.00%40100.00%01237205060.34%1155205456.23%678111161.03%191213551706524923477
13Iceberg43100000161332200000011832110000055060.7501630460065706261055855545734211431661042229.09%21195.24%01237205060.34%1155205456.23%678111161.03%191213551706524923477
14Magics1010000034-1000000000001010000034-100.000369006570626135855545734223414303133.33%7185.71%01237205060.34%1155205456.23%678111161.03%191213551706524923477
15Mighty Ducks41300000511-62110000045-12020000016-520.250591400657062681585554573421232744962428.33%21385.71%01237205060.34%1155205456.23%678111161.03%191213551706524923477
16National22000000624110000001011100000052341.000612180165706264358555457342361116478225.00%80100.00%01237205060.34%1155205456.23%678111161.03%191213551706524923477
17Nordiques4310000012111220000008622110000045-160.75012213300657062694585554573428627398717317.65%15193.33%01237205060.34%1155205456.23%678111161.03%191213551706524923477
18Oceanic1010000026-41010000026-40000000000000.00023500657062620585554573424091026200.00%5260.00%01237205060.34%1155205456.23%678111161.03%191213551706524923477
19Pantheres1010000045-11010000045-10000000000000.0004812006570626325855545734220610246233.33%50100.00%11237205060.34%1155205456.23%678111161.03%191213551706524923477
20Remparts522001001317-42110000045-131100100912-350.50013253800657062612258555457342157345811619210.53%26196.15%01237205060.34%1155205456.23%678111161.03%191213551706524923477
21Roadrunners41300000914-52110000067-12020000037-420.250918270065706261085855545734213956346922313.64%17476.47%01237205060.34%1155205456.23%678111161.03%191213551706524923477
22Sagueneens11000000321000000000001100000032121.00035800657062621585554573422171912700.00%60100.00%01237205060.34%1155205456.23%678111161.03%191213551706524923477
23Senators1010000024-21010000024-20000000000000.000235006570626175855545734219510132150.00%5180.00%01237205060.34%1155205456.23%678111161.03%191213551706524923477
24SilverKnights420011001376220000007162000110066070.875132639016570626875855545734253223610417423.53%18194.44%01237205060.34%1155205456.23%678111161.03%191213551706524923477
25Spiders11000000312000000000001100000031221.0003580065706262658555457342226821400.00%4175.00%01237205060.34%1155205456.23%678111161.03%191213551706524923477
26Thunder200001106601000010034-11000001032130.75069150065706265358555457342872014559111.11%70100.00%11237205060.34%1155205456.23%678111161.03%191213551706524923477
27Vikings403000011017-720100001710-32020000037-410.125101828006570626795855545734299404210017317.65%20575.00%01237205060.34%1155205456.23%678111161.03%191213551706524923477
28WolfPack412000011012-2210000016512020000047-330.37510192911657062670585554573426927498219210.53%17476.47%01237205060.34%1155205456.23%678111161.03%191213551706524923477
29Wolves11000000312000000000001100000031221.0003580065706261658555457342277426400.00%20100.00%01237205060.34%1155205456.23%678111161.03%191213551706524923477
Total75253901424200235-3538161600114115123-8379230131085112-27640.427200363563156570626173158555457342196159278617543224213.04%3424287.72%31237205060.34%1155205456.23%678111161.03%191213551706524923477
_Since Last GM Reset75253901424200235-3538161600114115123-8379230131085112-27640.427200363563156570626173158555457342196159278617543224213.04%3424287.72%31237205060.34%1155205456.23%678111161.03%191213551706524923477
_Vs Conference59183301214154190-36301411000149595029422012005995-36460.390154282436136570626137858555457342154048763913792583312.79%2723487.50%11237205060.34%1155205456.23%678111161.03%191213551706524923477
_Vs Division14716000133948-9864000132729-26112000001219-7190.67939721110165706263325855545734232410614432957610.53%63985.71%11237205060.34%1155205456.23%678111161.03%191213551706524923477

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
7564L120036356317311961592786175415
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
7525391424200235
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3816160114115123
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
37923131085112
Derniers 10 matchs
WLOTWOTL SOWSOL
260101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
3224213.04%3424287.72%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
585554573426570626
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
1237205060.34%1155205456.23%678111161.03%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
191213551706524923477


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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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)
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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.
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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
36260Pantheres5Checkers4BLSommaire du match
38267Checkers1Vikings4ALSommaire du match
40285Bandits3Checkers5BWSommaire du match
43305Checkers5National2AWSommaire du match
45321IceHogs3Checkers2BLSommaire du match
48345Vikings5Checkers4BLXXSommaire du match
51363Checkers3Wolves1AWSommaire du match
53376IceBears6Checkers2BLSommaire du match
55395Checkers4IceHawks2AWSommaire du match
57408Nordiques3Checkers4BWSommaire du match
60428Checkers3Draveurs4ALSommaire du match
62439BaronsOKC4Checkers3BLSommaire du match
64455Checkers2SilverKnights1AWXSommaire du match
66469HC5Checkers4BLSommaire du match
68485Checkers2Vikings3ALSommaire du match
70500Remparts4Checkers1BLSommaire du match
71513Checkers2Remparts3ALXSommaire du match
74532WolfPack5Checkers4BLXXSommaire du match
75545Checkers2EvilSharks3ALXSommaire du match
78562Bandits4Checkers5BWXXSommaire du match
80578Checkers3Sagueneens2AWSommaire du match
82593Mighty Ducks3Checkers4BWSommaire du match
87623Roadrunners5Checkers3BLSommaire du match
89642Checkers3Bandits5ALSommaire du match
91654Roadrunners2Checkers3BWSommaire du match
94673Checkers1Mighty Ducks3ALSommaire du match
95687National0Checkers1BWSommaire du match
98702Checkers4SilverKnights5ALXSommaire du match
100716Eagles1Checkers3BWSommaire du match
104746Cyclones0Checkers3BWSommaire du match
106756Checkers2WolfPack4ALSommaire du match
108772Checkers2Cyclones3ALSommaire du match
109782HC4Checkers1BLSommaire du match
111802Checkers1Cyclones2ALSommaire du match
113812Checkers3Spiders1AWSommaire du match
115825Draveurs2Checkers3BWSommaire du match
118842Oceanic6Checkers2BLSommaire du match
121869Senators4Checkers2BLSommaire du match
122877Checkers3Nordiques1AWSommaire du match
126901SilverKnights0Checkers4BWSommaire du match
127910Checkers4Iceberg3AWSommaire du match
130927Checkers3Thunder2AWXXSommaire du match
131936Nordiques3Checkers4BWSommaire du match
133956Checkers2BaronsOKC4ALSommaire du match
135966SilverKnights1Checkers3BWSommaire du match
136982Checkers2Roadrunners3ALSommaire du match
138996Checkers3Magics4ALSommaire du match
1401007Griffins6Checkers3BLSommaire du match
1431028Darkness0Checkers3BWSommaire du match
1441033Checkers1Eagles3ALSommaire du match
1451042Checkers1Roadrunners4ALSommaire du match
1471059Iceberg3Checkers5BWSommaire du match
1491073Checkers1Nordiques4ALSommaire du match
1521089Iceberg5Checkers6BWSommaire du match
1571119Thunder4Checkers3BLXSommaire du match
1591133Checkers1BaronsOKC3ALSommaire du match
1611149Checkers2IceBears3ALSommaire du match
1621153Cyclones4Checkers3BLXXSommaire du match
1641161Checkers1HC2ALSommaire du match
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
203875253901424200235-3538161600114115123-8379230131085112-2764200363563156570626173158555457342196159278617543224213.04%3424287.72%31237205060.34%1155205456.23%678111161.03%191213551706524923477
Total Saison régulière237741250413912587731-1441194454024510321367-46118307102942266364-98199587103516223101361881967050321226161216775586094183424795525106015114.25%104516484.31%63810645958.99%3766663856.73%2077353658.74%612543125298164229421537

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