Connexion


Centre de jeu
Bandits
35-28-5, 75pts
5
FINAL
3 Mighty Ducks
29-34-6, 64pts
Team Stats
SOL1StreakL3
21-12-1Home Record12-18-3
14-16-4Away Record17-16-3
5-4-1Last 10 Games3-6-1
3.82Buts par match 2.88
3.65Buts contre par match 3.58
17.29%Pourcentage en avantage numérique17.16%
81.82%Pourcentage en désavantage numérique83.18%
Pantheres
45-20-5, 95pts
5
FINAL
4 Bandits
35-28-5, 75pts
Team Stats
SOW1StreakSOL1
20-11-2Home Record21-12-1
25-9-3Away Record14-16-4
5-4-1Last 10 Games5-4-1
4.19Buts par match 3.82
3.29Buts contre par match 3.65
19.00%Pourcentage en avantage numérique17.29%
80.85%Pourcentage en désavantage numérique81.82%
SilverKnights
28-28-12, 68pts
Jour 148
Bandits
35-28-5, 75pts
Stats Équipe
L1SéquenceSOL1
16-9-8Fiche domicile21-12-1
12-19-4Fiche visiteur14-16-4
6-3-110 derniers matchs5-4-1
2.97Buts par match 3.82
3.25Buts contre par match 3.65
17.35%Pourcentage en avantage numérique17.29%
85.16%Pourcentage en désavantage numérique81.82%
Nordiques
23-39-5, 51pts
Jour 152
Bandits
35-28-5, 75pts
Stats Équipe
W3SéquenceSOL1
11-20-3Fiche domicile21-12-1
12-19-2Fiche visiteur14-16-4
6-3-110 derniers matchs5-4-1
2.43Buts par match 3.82
3.31Buts contre par match 3.65
14.73%Pourcentage en avantage numérique17.29%
83.06%Pourcentage en désavantage numérique81.82%
Nordiques
23-39-5, 51pts
Jour 157
Bandits
35-28-5, 75pts
Stats Équipe
W3SéquenceSOL1
11-20-3Fiche domicile21-12-1
12-19-2Fiche visiteur14-16-4
6-3-110 derniers matchs5-4-1
2.43Buts par match 3.82
3.31Buts contre par match 3.65
14.73%Pourcentage en avantage numérique17.29%
83.06%Pourcentage en désavantage numérique81.82%
Meneurs d'équipe
Drake CaggiulaButs
Drake Caggiula
22
Drake CaggiulaPasses
Drake Caggiula
53
Drake CaggiulaPoints
Drake Caggiula
75
Drake CaggiulaPlus/Moins
Drake Caggiula
-2

Stats Équipe
Buts pour
260
3.82 GFG
Tirs pour
2434
35.79 Avg
Pourcentage en avantage numérique
17.3%
46 GF
Début de zone offensive
40.9%
Buts contre
248
3.65 GAA
Tirs contre
2094
30.79 Avg
Pourcentage en désavantage numérique
81.8%
54 GA
Début de la zone défensive
38.5%
Information d’équipe
Directeur généralMaxime Barabe
EntraîneurGlen Gulutzan
DivisionCentral
ConférenceWestern
Capitaine
Assistant #1
Assistant #2
Informations de l’aréna
Capacité3,000
Assistance0
Billets de saison300
Information formation
Équipe Pro26
Équipe Mineure19
Limite contact 45 / 50
Espoirs4
Historique d'équipe
Saison actuelle35-28-5 (75PTS)
Historique749-707-170 (0.461%)
Apparitions séries éliminatoires 8
Historique séries éliminatoires (W-L)19-36
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
1Jordan MartinookX100.0057478181597999618658647890888430296803212,000,000$
2Lane PedersonX100.0099617880567565577057577040787755376402711,050,000$
3Matthew NietoX100.0055448678537458524051547540888130376103212,000,000$
4Drake CaggiulaX100.006240768251605060406655594084724041600302900,000$
5Liam FoudyX100.0054498777627152544059506140727270375902411,017,500$
6Brett MurrayX100.006171777589635349404356564076706037570261851,000$
7Samuel LabergeX100.0072705975686858384038386140787355285402711,500,000$
8Will BittenX100.004742817551776745403951506976776037540261860,000$
9Carsen TwarynskiX100.009950757564605037403242614078695524530271860,000$
10Josh LopinaX100.005649837565786839703147504070747525530231696,000$
11Serron NoelX100.007167677574605038403936554072667025520241825,000$
12Egor ZamulaX100.0053518078677788604060597340727570476702411,200,000$
13Alexander EdlerX100.00795579757455505340525462639977037630381975,000$
14Patrik NemethX100.007660827584555048404550654088723037620324975,000$
15Jack RathboneX100.005541837550736843403946704074746537600251825,000$
16Markus NiemelainenX100.009952807575555031402934624076666037590261930,000$
17Noel HoefenmayerX100.007153637565555044403948664074656537590251930,000$
Rayé
1Tyler AngleX100.005360797545605041703646504072667022510241770,000$
2Jack BadiniX100.007361817562605031702934504076686020490261930,000$
3Grant MismashX100.005045837555605034402939504074676520480251825,000$
4Nikita OkhotyukX100.0099487276617679524053527040727470346702411,018,000$
5Dmitry SemykinX100.006454907573555025402030514072647025530241825,000$
MOYENNE D’ÉQUIPE 100.00685378766466594548434761457872563258
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
1Martin Jones100.00855760957475767476759692842059760343900,000$
2Aaron Dell100.00815060895861616061599394781554660352575,000$
Rayé
1Landon Bow100.00755060965050505050508382664535590292600,000$
2Beck Warm100.00775060805050505050504074626520560252600,000$
MOYENNE D’ÉQUIPE100.0080526090585959595959788673364264
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Glen Gulutzan60475345848662CAN532100,000$


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
1Drake CaggiulaBandits (Stl)LW68225375-2580160244229711769.61%26141020.74716234719410162252140.08%153700001.06030001345
Statistiques d’équipe totales ou en moyenne68225375-2580160244229711769.61%26141020.74716234719410162252140.08%153700001.06030001345
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
Statistiques d’équipe totales ou en moyenne0.0000.0000.000


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’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
Aaron DellBandits (Stl)G351989-05-04No200 Lbs6 ft0NoNoNo2Pro & Farm575,000$0$0$No575,000$
UFA
Lien / Lien NHL
Alexander EdlerBandits (Stl)D381986-04-21No210 Lbs6 ft4NoNoNo1Pro & Farm975,000$0$0$No
UFA
Lien / Lien NHL
Beck WarmBandits (Stl)G251999-04-22No172 Lbs6 ft0NoNoNo2Pro & Farm600,000$0$0$No600,000$
RFA
Lien / Lien NHL
Brett MurrayBandits (Stl)LW261998-07-20No235 Lbs6 ft5NoNoNo1Pro & Farm851,000$0$0$No
RFA
Lien / Lien NHL
Carsen TwarynskiBandits (Stl)LW271997-11-24No198 Lbs6 ft2NoNoNo1Pro & Farm860,000$0$0$No
UFA
Lien / Lien NHL
Dmitry SemykinBandits (Stl)D242000-02-24No212 Lbs6 ft3NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Drake CaggiulaBandits (Stl)LW301994-06-20No183 Lbs5 ft11NoNoNo2Pro & Farm900,000$0$0$No900,000$
UFA
Lien / Lien NHL
Egor ZamulaBandits (Stl)D242000-03-30No200 Lbs6 ft3NoNoNo1Pro & Farm1,200,000$0$0$No
RFA
Lien / Lien NHL
Grant MismashBandits (Stl)LW251999-02-19No184 Lbs6 ft1NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Jack BadiniBandits (Stl)C261998-01-19No202 Lbs6 ft0NoNoNo1Pro & Farm930,000$0$0$No
RFA
Lien / Lien NHL
Jack RathboneBandits (Stl)D251999-05-20No182 Lbs5 ft11NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Jordan MartinookBandits (Stl)LW321992-07-25No196 Lbs6 ft0NoNoNo1Pro & Farm2,000,000$0$0$No
UFA
Lien / Lien NHL
Josh LopinaBandits (Stl)C232001-02-16No199 Lbs6 ft2NoNoNo1Pro & Farm696,000$0$0$No
RFA
Lien / Lien NHL
Landon BowBandits (Stl)G291995-08-24No208 Lbs6 ft5NoNoNo2Pro & Farm600,000$0$0$No600,000$
UFA
Lien / Lien NHL
Lane PedersonBandits (Stl)C271997-08-04No190 Lbs6 ft0NoNoNo1Pro & Farm1,050,000$0$0$No
UFA
Lien / Lien NHL
Liam FoudyBandits (Stl)C242000-02-04No193 Lbs6 ft2NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Lien / Lien NHL
Markus NiemelainenBandits (Stl)D261998-06-08No203 Lbs6 ft6NoNoNo1Pro & Farm930,000$0$0$No
RFA
Lien / Lien NHL
Martin JonesBandits (Stl)G341990-01-10No189 Lbs6 ft4NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
UFA
Lien / Lien NHL
Matthew NietoBandits (Stl)LW321992-11-05No187 Lbs5 ft11NoNoNo1Pro & Farm2,000,000$0$0$No
UFA
Lien / Lien NHL
Nikita OkhotyukBandits (Stl)D242000-12-04No195 Lbs6 ft1NoNoNo1Pro & Farm1,018,000$0$0$No
RFA
Lien / Lien NHL
Noel HoefenmayerBandits (Stl)D251999-06-01No204 Lbs6 ft1NoNoNo1Pro & Farm930,000$0$0$No
RFA
Lien / Lien NHL
Patrik NemethBandits (Stl)D321992-02-08No230 Lbs6 ft4YesNoNo4Pro & Farm975,000$0$0$No975,000$975,000$975,000$
UFA
Lien / Lien NHL
Samuel LabergeBandits (Stl)LW271997-04-10No206 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$0$0$No
UFA
Lien / Lien NHL
Serron NoelBandits (Stl)RW242000-08-08No205 Lbs6 ft5NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Tyler AngleBluesC242000-09-30No176 Lbs5 ft10NoNoNo1Pro & Farm770,000$770,000$139,209$No
RFA
Lien / Lien NHL
Will BittenBandits (Stl)RW261998-07-10No184 Lbs5 ft11NoNoNo1Pro & Farm860,000$0$0$No
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2627.46198 Lbs6 ft21.35978,365$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drake Caggiula40122
230122
320122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
230122
320122
410122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drake Caggiula60122
240122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Drake Caggiula60122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
2Drake Caggiula4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Drake Caggiula60122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drake Caggiula
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Drake Caggiula
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, Drake Caggiula, , ,
Gardien
#1 : , #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
1BaronsOKC3110100012843110100012840000000000040.6671223350011776617109831805774371213730738225.00%14192.86%0997227443.84%918214442.82%498114543.49%158111441750471781367
2BigBadStars1010000003-31010000003-30000000000000.000000001177661736831805774372151321700.00%4175.00%0997227443.84%918214442.82%498114543.49%158111441750471781367
3Checkers42100001161332200000093620100001710-350.625163147011177661712083180577437101334210119210.53%16287.50%1997227443.84%918214442.82%498114543.49%158111441750471781367
4Cyclones422000001415-122000000115620200000310-740.500142438001177661713683180577437105425211817423.53%25676.00%0997227443.84%918214442.82%498114543.49%158111441750471781367
5Darkness21100000811-30000000000021100000811-320.500816240011776617648318057743780191660600.00%9277.78%0997227443.84%918214442.82%498114543.49%158111441750471781367
6Draveurs412001001719-221100000111012010010069-330.375173350001177661716583180577437136284711617423.53%19478.95%0997227443.84%918214442.82%498114543.49%158111441750471781367
7Eagles431000002113822000000116521100000107360.750214162001177661715783180577437107283412118527.78%15380.00%0997227443.84%918214442.82%498114543.49%158111441750471781367
8EvilSharks11000000752110000007520000000000021.00071219001177661746831805774372646152150.00%3166.67%0997227443.84%918214442.82%498114543.49%158111441750471781367
9HC312000001417-31010000024-2211000001213-120.33314284200117766171078318057743712940399212216.67%12283.33%0997227443.84%918214442.82%498114543.49%158111441750471781367
10IceBears440000002291322000000127522000000102881.0002244660011776617187831805774378832569320735.00%15286.67%0997227443.84%918214442.82%498114543.49%158111441750471781367
11IceHawks1010000045-1000000000001010000045-100.0004812001177661737831805774372774265120.00%20100.00%0997227443.84%918214442.82%498114543.49%158111441750471781367
12IceHogs11000000743000000000001100000074321.0007142100117766173583180577437531218275360.00%9455.56%0997227443.84%918214442.82%498114543.49%158111441750471781367
13Iceberg3000111011101100000104312000110077050.8331120310011776617120831805774371134716771317.69%7185.71%1997227443.84%918214442.82%498114543.49%158111441750471781367
14Magics10001000211100010002110000000000021.000246001177661732831805774372161021200.00%50100.00%0997227443.84%918214442.82%498114543.49%158111441750471781367
15Mighty Ducks43100000201192200000012482110000087160.75020395900117766171348318057743711535408614428.57%20575.00%1997227443.84%918214442.82%498114543.49%158111441750471781367
16National11000000211110000002110000000000021.00023500117766173683180577437222823500.00%30100.00%0997227443.84%918214442.82%498114543.49%158111441750471781367
17Nordiques22000000826000000000002200000082641.0008152300117766176983180577437511720505120.00%10280.00%0997227443.84%918214442.82%498114543.49%158111441750471781367
18Oceanic1010000025-31010000025-30000000000000.0002350011776617278318057743737121441500.00%7185.71%1997227443.84%918214442.82%498114543.49%158111441750471781367
19Pantheres20100001711-420100001711-40000000000010.25071219001177661710583180577437801619617114.29%7271.43%0997227443.84%918214442.82%498114543.49%158111441750471781367
20Remparts412010002020020101000111102110000099040.500203858001177661715583180577437172585411215213.33%22386.36%0997227443.84%918214442.82%498114543.49%158111441750471781367
21Roadrunners2020000027-52020000027-50000000000000.0002350011776617738318057743794231854500.00%9188.89%0997227443.84%918214442.82%498114543.49%158111441750471781367
22Sagueneens1010000003-31010000003-30000000000000.000000001177661739831805774371762271000.00%10100.00%0997227443.84%918214442.82%498114543.49%158111441750471781367
23Senators1010000013-2000000000001010000013-200.000123001177661721831805774371761420100.00%7271.43%0997227443.84%918214442.82%498114543.49%158111441750471781367
24SilverKnights31200000912-3110000004312020000059-420.3339172600117766178583180577437591627717114.29%11463.64%0997227443.84%918214442.82%498114543.49%158111441750471781367
25Spiders11000000431000000000001100000043121.0004711001177661741831805774372561420400.00%6183.33%0997227443.84%918214442.82%498114543.49%158111441750471781367
26Thunder1000010045-1000000000001000010045-110.50048120011776617328318057743757121241100.00%60100.00%1997227443.84%918214442.82%498114543.49%158111441750471781367
27Vikings40400000616-102020000025-320200000411-700.0006111700117766171228318057743710124348122313.64%15380.00%0997227443.84%918214442.82%498114543.49%158111441750471781367
28WolfPack42101000161512100100010822110000067-160.7501631470011776617120831805774379527489613215.38%14192.86%0997227443.84%918214442.82%498114543.49%158111441750471781367
29Wolves11000000413000000000001100000041321.0004812001177661724831805774372410825100.00%40100.00%0997227443.84%918214442.82%498114543.49%158111441750471781367
Total6829280531226024812341612040111331132034131601301127135-8750.5512604957550111776617243483180577437209461071517692664617.29%2975481.82%5997227443.84%918214442.82%498114543.49%158111441750471781367
_Since Last GM Reset6829280531226024812341612040111331132034131601301127135-8750.5512604957550111776617243483180577437209461071517692664617.29%2975481.82%5997227443.84%918214442.82%498114543.49%158111441750471781367
_Vs Conference522321042112081872126148030101138429269130120195103-8590.5672083986060111776617185983180577437158748755713412054019.51%2244082.14%3997227443.84%918214442.82%498114543.49%158111441750471781367
_Vs Division131460311154477710102010302646450110124213381.46254102156001177661753683180577437374114162346611626.23%621575.81%0997227443.84%918214442.82%498114543.49%158111441750471781367

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
6875SOL126049575524342094610715176901
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6829285312260248
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
3416124011133113
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3413161301127135
Derniers 10 matchs
WLOTWOTL SOWSOL
440011
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2664617.29%2975481.82%5
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
8318057743711776617
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
997227443.84%918214442.82%498114543.49%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
158111441750471781367


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
29BaronsOKC2Bandits3BWXSommaire du match
433WolfPack3Bandits4BWSommaire du match
540Bandits2Cyclones4ALSommaire du match
1067Mighty Ducks2Bandits4BWSommaire du match
1283Bandits3Draveurs4ALXSommaire du match
1397BaronsOKC3Bandits2BLSommaire du match
16116Bandits3Mighty Ducks4ALSommaire du match
17125Bandits4Darkness8ALSommaire du match
19140Checkers0Bandits4BWSommaire du match
21158Eagles4Bandits6BWSommaire du match
24182Bandits6Remparts7ALSommaire du match
25190Vikings2Bandits1BLSommaire du match
27206Bandits3IceBears1AWSommaire du match
30222Bandits3Eagles4ALSommaire du match
32232Roadrunners3Bandits2BLSommaire du match
34250Bandits7Eagles3AWSommaire du match
36257Bandits3Draveurs5ALSommaire du match
38269Remparts7Bandits6BLSommaire du match
40285Bandits3Checkers5ALSommaire du match
42298Vikings3Bandits1BLSommaire du match
44315Bandits4Darkness3AWSommaire du match
46327Oceanic5Bandits2BLSommaire du match
48340Bandits5Nordiques1AWSommaire du match
51357EvilSharks5Bandits7BWSommaire du match
53378Bandits0WolfPack3ALSommaire du match
55390Roadrunners4Bandits0BLSommaire du match
57406Bandits4Thunder5ALXSommaire du match
59420Sagueneens3Bandits0BLSommaire du match
61431Bandits1Cyclones6ALSommaire du match
63447Bandits4Spiders3AWSommaire du match
64458WolfPack5Bandits6BWXSommaire du match
67477Bandits4Iceberg5ALXSommaire du match
68489BigBadStars3Bandits0BLSommaire du match
71511Mighty Ducks2Bandits8BWSommaire du match
73529Bandits4HC8ALSommaire du match
75542Eagles2Bandits5BWSommaire du match
78562Bandits4Checkers5ALXXSommaire du match
80576National1Bandits2BWSommaire du match
82595Bandits3Nordiques1AWSommaire du match
84607BaronsOKC3Bandits7BWSommaire du match
86619Bandits4IceHawks5ALSommaire du match
88634Bandits1Vikings4ALSommaire du match
89642Checkers3Bandits5BWSommaire du match
93666IceBears4Bandits8BWSommaire du match
96692Bandits3Iceberg2AWXSommaire du match
98701Cyclones1Bandits5BWSommaire du match
100717Bandits7IceHogs4AWSommaire du match
102730Magics1Bandits2BWXSommaire du match
105755Bandits3SilverKnights4ALSommaire du match
106760Bandits3Remparts2AWSommaire du match
108770SilverKnights3Bandits4BWSommaire du match
110789Bandits8HC5AWSommaire du match
112803Remparts4Bandits5BWXSommaire du match
114823Bandits3Vikings7ALSommaire du match
116830Cyclones4Bandits6BWSommaire du match
119852Draveurs5Bandits7BWSommaire du match
122874Bandits6WolfPack4AWSommaire du match
123883Draveurs5Bandits4BLSommaire du match
128911Bandits2SilverKnights5ALSommaire du match
129920HC4Bandits2BLSommaire du match
131939Bandits1Senators3ALSommaire du match
132949Iceberg3Bandits4BWXXSommaire du match
135969Bandits7IceBears1AWSommaire du match
136977Pantheres6Bandits3BLSommaire du match
1381000IceBears3Bandits4BWSommaire du match
1411018Bandits4Wolves1AWSommaire du match
1421020Bandits5Mighty Ducks3AWSommaire du match
1451041Pantheres5Bandits4BLXXSommaire du match
1481067SilverKnights-Bandits-
1521093Nordiques-Bandits-
1571120Nordiques-Bandits-
1581128Bandits-Griffins-
1621150HC-Bandits-
1651167Bandits-BaronsOKC-
1661178Bandits-Roadrunners-
1681182Iceberg-Bandits-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1721194Bandits-BaronsOKC-
1741207Bandits-Roadrunners-



Bandits 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
1Alan Letang1115172319491788531478137618649.23%7331800616.1538731111874101447211252.06%40.55210
2Dale Clarke33950165215-746508485917346.81%420791023.343545802550442086100.00%00.5401
3Mark Hartigan19578129207-329133651260812.83%104383219.65155065612351910560.05%51.08419
4Shane Prince3146695161-619221753559311.13%27588518.74193251116022126642.77%00.55519
5Anton Slepyshev3247676152-2220644541453914.10%63555217.141532471174261210444.72%20.55413

Bandits 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
1Wade Dubielewicz1606175240.8892.9395522846742081300750.73992
2Jeff Maund1366144150.8843.11753725391336612831820.68266
3Ghislain Rousseau70412450.8973.0941920121621011019300.83312
4Jeremy Smith82374050.9022.57485521020821160220.80055
5Jean-Marc Pelletier803528100.8793.6342870125921321152300.84025

Bandits 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
201782432802324309266434119180111114913910412410012131601273393309504813010641251162777082110788692498849124720882917124.40%2765081.88%101096196255.86%927178152.05%725141351.31%169389017978741628806
201882293404852292317-2541141803330135155-2041151601522157162-57429246575700059101123260707439299132490853164520652526425.40%2285277.19%51019190453.52%917165355.47%807144955.69%163383216628271675819
201981343104237307313-641122003114140168-28402211011231671452278307478785110611221172697074310059192446799172118022388535.71%2134777.93%61202200959.83%922159457.84%721129655.63%159380716528141676815
202082213904945236301-654182001543117150-3341131903402119151-3259236378614210539283239706808588202505792161117972134923.00%2327169.40%3864176249.04%840176347.65%547122344.73%158977316718261736857
202182233802199148190-42411119020548497-13411219001456493-2951148250398380475139149904994844941845521109821033604813.33%4645887.50%21114223349.89%1173255845.86%533116845.63%1785116921696571060501
2022812833012710168183-154014130126496915411420000167292-206016829045825063465118340584603614177152186219503704812.97%3524686.93%01086237645.71%1053244043.16%488110444.20%183512642120611996477
202382363403324267272-541161802113135139-441201601211132133-181267508775240100986426380893817904243971691220954187217.22%3556781.13%61183278442.49%1109265741.74%517129240.02%179212622218599948438
2024823334043172792681141181802210142132104115160210713713618627953080915098918527490897879935224666178320883765113.56%3445584.01%31239283443.72%1103259342.54%527129940.57%182412852174609977459
202582343405306300307-7412311030041611471441112302302139160-21873005698692101051028830160975995997250670690721244186315.07%3807081.58%61400307445.54%1176265944.23%611136244.86%186413232155592952452
20268239310421527725225412215010121341151941171603203143137695277529806150100977528140937937907239167387721283474412.68%3486481.61%51295290444.59%1165260844.67%588130045.23%179212672206604959443
202782215001073162252-904114230102186123-37417270005276129-536116227543724063494213800474437456201357888620583195617.55%3977481.36%4976206647.24%1181248947.45%581120248.34%1804119121006471066509
203082264002095199221-2241141901043100105-54112210105299116-177919932952839078585216330557527533220367094020593786517.20%4095586.55%21240219456.52%1407256854.79%686122056.23%2016138719516001025525
2031822734022512195211-1641121701236103112-9411517010269299-78219533452925070536515320512479522208063292220813385917.46%3944588.58%51037218947.37%1188254946.61%560119546.86%1932131020426131036514
203282234403165180235-554113180303499109-104110260013181126-457018031749723065456117280609564539195054492020013374613.65%4027282.09%31097231547.39%1123243846.06%564121246.53%1923129020116151056526
2033821551011410169282-1134111220002694136-42414290112475146-715116928445310073464516570575516537233470792220313204614.38%3957281.77%21155219352.67%1255257748.70%619120651.33%1847125121126121032496
203482472504123326289374126120102016814622412113031031581431511032661694201013111178302009679661056250872381321293465716.47%3505783.71%11261287143.92%1179269643.73%626137745.46%188713462105581962460
2035824129024333162803641211501301163139244120140113215314112993166009161301301057631430102510741011255371677422223686617.93%3566382.30%31417294348.15%1246272245.78%655137047.81%190213642120583943450
20368035330352230227230401519022111371361402014013111651362987302582884130113939128840885994984248574382321053576016.81%3426680.70%31216277743.79%1195263045.44%531127741.58%181312972100574920431
203782273706534254290-3641121805213127138-1141151901321127152-25812544627162198836411234480578672852246169391020943415917.30%3847680.21%41218251948.35%1248250649.80%631127249.61%196513772007581999495
20386829280531226024812341612040111331132034131601301127135-8752604957550111776617243483180577437209461071517692664617.29%2975481.82%5997227443.84%918214442.82%498114543.49%158111441750471781367
Total Saison régulière1622611707062587610849465249-30381131134503824425125032590-8781130036202434345724432659-216155949468795137412861215163216101369467831636149671564414099458181370720288407896653115517.36%6918121482.45%78231124818347.97%223254762546.88%120152538247.34%360762383640132128992243710850
Séries éliminatoires
2017115600000353235230000012120633000002320310355691000121112346010112012530510917827636616.67%38586.84%112826049.23%11023546.81%9917157.89%2181102015985224108
2018734000002330-731200000812-4422000001518-36233659000113820604882672207414519334617.65%17288.24%110115863.92%9015159.60%7713756.20%145661437515783
20191046000003244-12523000001623-7523000001621-583250820008111233201081071143587616019826726.92%32875.00%114425157.37%13522560.00%10417360.12%190962169719496
2024734000002130-932100000761413000001424-1062139600009642540957963241829021929310.34%34488.24%010624942.57%10025239.68%4811242.86%153107218518237
2026514000001621-52020000058-3312000001113-22163248000375165052515618555601291815.56%26869.23%17217541.14%7319238.02%407454.05%10171161375624
2034514000002125-4312000001012-2202000001113-222139601008762130618072216625114323834.78%20385.00%09919949.75%9920548.29%428748.28%12188122325627
2035514000001821-331200000119220200000712-521834520004681550544452148484611425624.00%22577.27%07516844.64%5714938.26%358143.21%10271148365827
2036514000001220-82020000039-631200000911-221223350005521490445745241647013015213.33%31390.32%06114741.50%11022149.77%317441.89%10475147335124
Total Séries éliminatoires55193600000178223-4526917000007291-1929101900000106132-263817830948710050665718200563620594191457080014022063918.93%2203882.73%4786160748.91%774163047.48%47690952.37%113768731751348881429

Bandits 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
1Alan Letang1983556911017827626034610.12%109322716.306111746123145150.60%00.5600
2Niko Dimitrakos179918-93735256513.85%1132819.30134810111057.14%11.1000
3Mark Hartigan126814-101111375012.00%828824.07224900001163.55%00.9700
4Dale Clarke1731013-8272537417.32%1540924.0812380222000.00%00.6400
5Trent Whitfield153912-662038348.82%729719.84112400020066.80%00.8100

Bandits 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
1Wade Dubielewicz115510.8952.916610032305136000.0000
2Jean-Marc Pelletier93320.8623.914600030218115100.0000
3Wade Dubielewicz43100.9183.00240001214778000.0000
4Jeff Maund61400.8515.563021702818895000.0000
5Jim Waite20000.8405.33450042513000.0000