Connexion


Centre de jeu
Spiders
23-21-4, 50pts
6
FINAL
4 IceBears
26-16-5, 57pts
Team Stats
W3StreakL3
14-8-1Home Record14-7-2
9-13-3Away Record12-9-3
8-2-0Last 10 Games4-4-2
3.44Buts par match 3.68
3.65Buts contre par match 3.66
18.23%Pourcentage en avantage numérique19.05%
80.66%Pourcentage en désavantage numérique77.42%
National
34-13-3, 71pts
1
FINAL
3 Spiders
23-21-4, 50pts
Team Stats
SOW1StreakW3
19-3-1Home Record14-8-1
15-10-2Away Record9-13-3
8-1-1Last 10 Games8-2-0
3.44Buts par match 3.44
2.62Buts contre par match 3.65
21.70%Pourcentage en avantage numérique18.23%
88.02%Pourcentage en désavantage numérique80.66%
Griffins
15-25-5, 35pts
Jour 103
Spiders
23-21-4, 50pts
Stats Équipe
W1SéquenceW3
9-13-2Fiche domicile14-8-1
6-12-3Fiche visiteur9-13-3
3-6-110 derniers matchs8-2-0
2.58Buts par match 3.44
3.27Buts contre par match 3.65
25.15%Pourcentage en avantage numérique18.23%
81.66%Pourcentage en désavantage numérique80.66%
Spiders
23-21-4, 50pts
Jour 106
Sagueneens
17-26-4, 38pts
Stats Équipe
W3SéquenceW1
14-8-1Fiche domicile9-13-1
9-13-3Fiche visiteur8-13-3
8-2-010 derniers matchs2-7-1
3.44Buts par match 2.49
3.65Buts contre par match 3.15
18.23%Pourcentage en avantage numérique13.13%
80.66%Pourcentage en désavantage numérique90.91%
Wolves
33-12-4, 70pts
Jour 108
Spiders
23-21-4, 50pts
Stats Équipe
W1SéquenceW3
14-6-3Fiche domicile14-8-1
19-6-1Fiche visiteur9-13-3
5-4-110 derniers matchs8-2-0
3.55Buts par match 3.44
2.63Buts contre par match 3.65
14.09%Pourcentage en avantage numérique18.23%
89.63%Pourcentage en désavantage numérique80.66%
Meneurs d'équipe
Tyler PitlickButs
Tyler Pitlick
32
Tyler PitlickPasses
Tyler Pitlick
29
Tyler PitlickPoints
Tyler Pitlick
61
Tyler PitlickPlus/Moins
Tyler Pitlick
5

Stats Équipe
Buts pour
165
3.44 GFG
Tirs pour
1622
33.79 Avg
Pourcentage en avantage numérique
18.2%
35 GF
Début de zone offensive
40.8%
Buts contre
175
3.65 GAA
Tirs contre
1476
30.75 Avg
Pourcentage en désavantage numérique
80.7%
41 GA
Début de la zone défensive
40.1%
Information d’équipe
Directeur généralYann Aussant
EntraîneurReggie Lemelin
DivisionAtlantic
ConférenceEastern
Capitaine
Assistant #1
Assistant #2
Informations de l’aréna
Capacité3,000
Assistance0
Billets de saison300
Information formation
Équipe Pro24
Équipe Mineure23
Limite contact 47 / 50
Espoirs13
Historique d'équipe
Saison actuelle23-21-4 (50PTS)
Historique112-152-29 (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
1Tyler PitlickX100.0098507878666858574055597073907925326403411,500,000$
2Samuel BlaisX100.0099567377686050574062536899807050326302932,000,000$
3Derek RyanX100.005643837950706852955152668099850326103912,000,000$
4MacKenzie EntwistleX100.0089627675706050527947567140746765146002631,000,000$
5Liam Ohgren (R)X100.006345887855736054405057624064699032590213925,000$
6Joakim KemellX100.006354787756746450404654604064699032570211925,000$
7Thomas BordeleauX100.005040777945685851405349574068688022560231925,000$
8Samu TuomaalaX100.005052778047605054405750509966638530560222925,000$
9Samuel Savoie (R)X100.005745838952817138403738534064739032540213925,000$
10David Goyette (R)X100.005544838950635339403839654064649032530213925,000$
11Zach DeanX100.004844867552605040404237654066638520520222925,000$
12James MalatestaX100.009961667552605039403246534066638521520222925,000$
13Jonathon MerrillX100.0054528475697391494045546740888130196403332,000,000$
14Trevor CarrickX100.0052477480647166604065545740847840326303111,000,000$
15Mike ReillyX100.0044488875617555504049506540868135326103212,000,000$
16Samuel BolducX100.0070578875797368484051465040727370326002532,000,000$
17Ty SmithX100.0056427183495550604070476440726470326002511,200,000$
18Christian KyrouX100.004139897642555044404544544066618526530222925,000$
Rayé
1Roni HirvonenX100.004850817546685840703544554068688020510232925,000$
2Tyler BoucherX100.006460767573605034402939614066638520510222925,000$
3Matthew SeminoffX100.005250797554655532403033624066668520490222925,000$
4Colton PoolmanX100.007166867563555036403636704082694523590301750,000$
5Scott HarringtonX100.0067518175725550304027335540867135265503212,000,000$
MOYENNE D’ÉQUIPE 100.00635080785865584645464761487470652757
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
1Vadim Zherenko100.00875961845050505050508470607544580241750,000$
Rayé
MOYENNE D’ÉQUIPE100.0087596184505050505050847060754458
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Reggie Lemelin51434066998028CAN711100,000$


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
1Tyler PitlickSpiders (Was)C4832296156202312212908917511.03%2599320.704711521420000175045.60%100000101.230300015111
2Trevor CarrickSpiders (Was)D4812930-856092703416212.94%4471514.910111120000018100.00%000000.8400000646
3Samu TuomaalaSpiders (Was)LW1511011-4401517246234.17%130620.440224530001251037.93%2900000.7200000010
4Thomas BordeleauSpiders (Was)C15178-40019442210194.55%231220.870223560002280042.30%35700000.5100000002
5Scott HarringtonSpiders (Was)D1403302154977340.00%820814.900001300004000.00%000000.2912100003
6Colton PoolmanSpiders (Was)D32000-213525114060.00%9952.980000000000000.00%000000.0000001022
Statistiques d’équipe totales ou en moyenne1723578113-13156104313703811242489.19%89263215.3141216712750003947044.59%138600100.8615101211814
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 2039 Plafond salarial Plafond salarial restant Exclus du plafond salarial 2040 204120422043204420452046Salaire annuel 9Salaire annuel 10Link
Christian KyrouSpiders (Was)D222003-09-16No170 Lbs5 ft10NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Colton PoolmanSpiders (Was)D301995-12-18No200 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$No
UFA
Lien / Lien NHL
David GoyetteSpiders (Was)LW212004-03-27Yes182 Lbs5 ft11NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Derek RyanSpiders (Was)C391986-12-29No185 Lbs5 ft10NoNoNo1Pro & Farm2,000,000$0$0$No
UFA
Lien / Lien NHL
James MalatestaSpiders (Was)LW222003-05-31No193 Lbs5 ft9NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Joakim KemellSpiders (Was)RW212004-04-27No193 Lbs5 ft11NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Jonathon MerrillSpiders (Was)D331992-02-03No204 Lbs6 ft3NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
UFA
Lien / Lien NHL
Liam OhgrenSpiders (Was)LW212004-01-28Yes187 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
MacKenzie EntwistleCapitalsRW261999-07-14No205 Lbs6 ft3NoNoNo3Pro & Farm1,000,000$1,000,000$426,966$No1,000,000$1,000,000$
UFA
Lien / Lien NHL
Matthew SeminoffSpiders (Was)LW222003-12-27No190 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Mike ReillySpiders (Was)D321993-07-13No191 Lbs6 ft2NoNoNo1Pro & Farm2,000,000$0$0$No
UFA
Lien / Lien NHL
Roni HirvonenSpiders (Was)C232002-01-10No178 Lbs5 ft10NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Samu TuomaalaSpiders (Was)LW222003-01-08No180 Lbs5 ft10NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Samuel BlaisSpiders (Was)RW291996-06-17No206 Lbs6 ft2NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
UFA
Lien / Lien NHL
Samuel BolducSpiders (Was)D252000-12-09No220 Lbs6 ft4NoNoNo3Pro & Farm2,000,000$0$0$No2,000,000$2,000,000$
UFA
Lien / Lien NHL
Samuel SavoieSpiders (Was)LW212004-03-25Yes190 Lbs5 ft10NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien / Lien NHL
Scott HarringtonSpiders (Was)D321993-03-10No217 Lbs6 ft1NoNoNo1Pro & Farm2,000,000$0$0$No
UFA
Lien / Lien NHL
Thomas BordeleauSpiders (Was)C232002-01-03No175 Lbs5 ft10NoNoNo1Pro & Farm925,000$0$0$No
RFA
Lien / Lien NHL
Trevor CarrickSpiders (Was)D311994-07-04No201 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$0$0$No
UFA
Lien / Lien NHL
Ty SmithSpiders (Was)D252000-03-24No180 Lbs5 ft11NoNoNo1Pro & Farm1,200,000$0$0$No
RFA
Lien / Lien NHL
Tyler BoucherSpiders (Was)RW222003-01-16No216 Lbs6 ft2NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Tyler PitlickSpiders (Was)C341991-11-01No201 Lbs6 ft2NoNoNo1Pro & Farm1,500,000$0$0$No
UFA
Lien / Lien NHL
Vadim ZherenkoSpiders (Was)G242001-03-15No176 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$No
RFA
Lien / Lien NHL
Zach DeanSpiders (Was)LW222003-01-04No186 Lbs5 ft11NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2425.92193 Lbs6 ft01.881,220,833$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler Pitlick40122
230122
3Tyler Pitlick20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Trevor Carrick30122
320122
410122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler Pitlick60122
240122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Trevor Carrick40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Tyler Pitlick40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Trevor Carrick40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122Trevor Carrick40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Tyler Pitlick40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Trevor Carrick40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler Pitlick
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler Pitlick
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Tyler Pitlick, Tyler Pitlick
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Tirs de pénalité
, , Tyler Pitlick, ,
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
1Bandits1010000025-3000000000001010000025-300.00022400674151636540543524233391532200.00%40100.00%0725161544.89%738159046.42%35475646.83%11468221198339561273
2BaronsOKC1010000026-4000000000001010000026-400.0002460067415163354054352423418836100.00%30100.00%1725161544.89%738159046.42%35475646.83%11468221198339561273
3BigBadStars201000109901010000056-11000001043120.500916250067415166154054352423962517628337.50%6266.67%0725161544.89%738159046.42%35475646.83%11468221198339561273
4Checkers1000000123-11000000123-10000000000010.500246006741516315405435242319718196116.67%7185.71%0725161544.89%738159046.42%35475646.83%11468221198339561273
5Cyclones10001000431100010004310000000000021.0004711006741516355405435242321816274125.00%8275.00%0725161544.89%738159046.42%35475646.83%11468221198339561273
6Darkness6320000122184321000001284311000011010070.58322406200674151616154054352423129426716722522.73%30680.00%0725161544.89%738159046.42%35475646.83%11468221198339561273
7Draveurs20101000912-3100010005411010000048-420.50091625006741516835405435242396212053700.00%10190.00%0725161544.89%738159046.42%35475646.83%11468221198339561273
8Eagles11000000514000000000001100000051421.00059140067415162954054352423168817200.00%4175.00%0725161544.89%738159046.42%35475646.83%11468221198339561273
9EvilSharks2010010058-31010000013-21000010045-110.25059140067415165554054352423548205912216.67%9188.89%0725161544.89%738159046.42%35475646.83%11468221198339561273
10Griffins32100000880220000008351010000005-540.6678162400674151684540543524237224287310330.00%14471.43%0725161544.89%738159046.42%35475646.83%11468221198339561273
11HC11000000633110000006330000000000021.0006121800674151662540543524232682245120.00%10100.00%0725161544.89%738159046.42%35475646.83%11468221198339561273
12IceBears11000000642000000000001100000064221.00061218006741516445405435242330120326350.00%000.00%0725161544.89%738159046.42%35475646.83%11468221198339561273
13IceHogs1010000046-2000000000001010000046-200.00048120067415163654054352423601014272150.00%6266.67%0725161544.89%738159046.42%35475646.83%11468221198339561273
14Iceberg1010000026-4000000000001010000026-400.00024600674151634540543524234812823500.00%4175.00%0725161544.89%738159046.42%35475646.83%11468221198339561273
15Magics21100000550000000000002110000055020.50051015006741516695405435242354918471218.33%80100.00%0725161544.89%738159046.42%35475646.83%11468221198339561273
16Mighty Ducks10001000431000000000001000100043121.0004812006741516465405435242324712295240.00%5260.00%0725161544.89%738159046.42%35475646.83%11468221198339561273
17National330000001055220000006331100000042261.00010192900674151611554054352423721427641300.00%10190.00%0725161544.89%738159046.42%35475646.83%11468221198339561273
18Nordiques1010000024-21010000024-20000000000000.00024600674151635540543524232032294125.00%10100.00%0725161544.89%738159046.42%35475646.83%11468221198339561273
19Oceanic311010001012-2210010008531010000027-540.667101929006741516114540543524231052030649111.11%13376.92%0725161544.89%738159046.42%35475646.83%11468221198339561273
20Pantheres62300100262513120000014140311001001211150.41726487410674151620454054352423227756218424625.00%30680.00%0725161544.89%738159046.42%35475646.83%11468221198339561273
21Remparts11000000642000000000001100000064221.00061218006741516385405435242344128155240.00%3166.67%0725161544.89%738159046.42%35475646.83%11468221198339561273
22Senators513010001314-12100100083530300000511-640.40013223500674151615954054352423118334412418211.11%20480.00%0725161544.89%738159046.42%35475646.83%11468221198339561273
23SilverKnights1010000014-31010000014-30000000000000.00012300674151630540543524233081424500.00%7185.71%0725161544.89%738159046.42%35475646.83%11468221198339561273
24Wolves1010000027-51010000027-50000000000000.000246006741516285405435242341131830500.00%9277.78%0725161544.89%738159046.42%35475646.83%11468221198339561273
Total48172105212165175-102310804001847311257130121181102-21500.521165307472106741516162254054352423147639647612611923518.23%2124180.66%1725161544.89%738159046.42%35475646.83%11468221198339561273
_Since Last GM Reset48172105212165175-102310804001847311257130121181102-21500.521165307472106741516162254054352423147639647612611923518.23%2124180.66%1725161544.89%738159046.42%35475646.83%11468221198339561273
_Vs Conference34131502211114117-31796020006452121749002115065-15350.51511421132510674151610865405435242310282733459011352417.78%1553180.00%0725161544.89%738159046.42%35475646.83%11468221198339561273
_Vs Division81211021112526-15940200015132337001111013-3322.00025487300674151630154054352423220455919939410.26%25388.00%0725161544.89%738159046.42%35475646.83%11468221198339561273

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
4850W316530747216221476396476126110
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4817215212165175
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2310840018473
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
25713121181102
Derniers 10 matchs
WLOTWOTL SOWSOL
622000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1923518.23%2124180.66%1
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
540543524236741516
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
725161544.89%738159046.42%35475646.83%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
11468221198339561273


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
212Senators1Spiders5BWSommaire du match
531Spiders4BigBadStars3AWXXSommaire du match
743Spiders2Magics3ALSommaire du match
956Pantheres4Spiders7BWSommaire du match
1064Spiders2Oceanic7ALSommaire du match
1379National2Spiders3BWSommaire du match
1489Spiders4National2AWSommaire du match
17111Senators2Spiders3BWXSommaire du match
18114Spiders3Pantheres5ALSommaire du match
21141Griffins2Spiders5BWSommaire du match
23149Spiders0Griffins5ALSommaire du match
27176Spiders3Senators4ALSommaire du match
28184Darkness3Spiders5BWSommaire du match
30197Spiders4Darkness5ALXXSommaire du match
32213Oceanic4Spiders5BWXSommaire du match
35233Spiders2BaronsOKC6ALSommaire du match
37247BigBadStars6Spiders5BLSommaire du match
38259Spiders3Darkness4ALSommaire du match
40275Pantheres6Spiders5BLSommaire du match
42291Spiders3Magics2AWSommaire du match
45306EvilSharks3Spiders1BLSommaire du match
47323Spiders2Senators3ALSommaire du match
49335Spiders2Bandits5ALSommaire du match
50340Wolves7Spiders2BLSommaire du match
53366Nordiques4Spiders2BLSommaire du match
55384Spiders4EvilSharks5ALXSommaire du match
57396Spiders4Draveurs8ALSommaire du match
58402Darkness2Spiders5BWSommaire du match
61428Pantheres4Spiders2BLSommaire du match
63443Spiders6Remparts4AWSommaire du match
65454Spiders2Iceberg6ALSommaire du match
66464Checkers3Spiders2BLXXSommaire du match
69489Darkness3Spiders2BLSommaire du match
71504Spiders4IceHogs6ALSommaire du match
73519HC3Spiders6BWSommaire du match
75533Spiders3Pantheres4ALXSommaire du match
77550Draveurs4Spiders5BWXSommaire du match
79562Spiders5Eagles1AWSommaire du match
81580Spiders4Mighty Ducks3AWXSommaire du match
82586SilverKnights4Spiders1BLSommaire du match
85612Cyclones3Spiders4BWXSommaire du match
87624Spiders6Pantheres2AWSommaire du match
89642Spiders3Darkness1AWSommaire du match
90646Griffins1Spiders3BWSommaire du match
93672Spiders0Senators4ALSommaire du match
94678Oceanic1Spiders3BWSommaire du match
98698Spiders6IceBears4AWSommaire du match
99710National1Spiders3BWSommaire du match
103737Griffins-Spiders-
106754Spiders-Sagueneens-
108769Wolves-Spiders-
110785Spiders-Oceanic-
112799Oceanic-Spiders-
114816Spiders-Oceanic-
116830National-Spiders-
118843Spiders-WolfPack-
120861Magics-Spiders-
124885Cyclones-Spiders-
125897Spiders-National-
128913Spiders-BigBadStars-
129923IceHawks-Spiders-
131942Spiders-BigBadStars-
133953IceHawks-Spiders-
136980Thunder-Spiders-
138991Spiders-Magics-
1401012Vikings-Spiders-
1421023Spiders-IceHawks-
1441041BigBadStars-Spiders-
1451047Spiders-Wolves-
1471067Spiders-Vikings-
1491079Roadrunners-Spiders-
1531103Sagueneens-Spiders-
1551117Spiders-Griffins-
1571132Spiders-Thunder-
1581142BigBadStars-Spiders-
1621165Thunder-Spiders-
1641182Spiders-BaronsOKC-
1661198Senators-Spiders-
1681211Spiders-Griffins-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1721228IceHogs-Spiders-
1761252Senators-Spiders-
1771257Spiders-National-



Spiders 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
1Brett McLean1476253415668-44173520591919239410.57%8912412516.3459951542584485733946.64%30.55311
2Stephane Goulet346115151266-27255668606106510.80%135652618.863542771701121315644.64%20.821229
3Tim Kennedy2251181232412410551946887513.49%119464020.62263763150314716440.99%31.04213
4Andrew Gordon403991392381215240474595310.39%123663716.47112536991011220842.63%00.72313
5Brett Ritchie2081041092131341992360489311.65%69440621.18253156197101717844.63%40.97514

Spiders 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
1Igor Bobkov1647772140.8952.809767101145643550640.81972
2Hannu Toivonen1557555230.8932.96910961144942141240900.76171
3Marek Schwarz1266445140.9012.557544483203218768620.77292
4Vadim Tarasov117564690.8882.79666961131027740400.75641
5Eetu Makiniemi107485170.8913.19636312233830940220.76743

Spiders 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
203680253903175216258-4240131903014110126-1640122000161106132-267621637759322080675919940652649662236970673718463465816.76%3095681.88%01232232253.06%1377260952.78%651122153.32%182712662056580981480
2037823338072113022939411718041101511331841162003101151160-98530257587712127927510293797395998428254576471420763635114.05%3216679.44%31266280645.12%1144252945.24%613137144.71%182713022169583948448
20387885401645169289-120394280023286140-54394260141383149-6637169302471326362398171457058654440237765168218152985117.11%2905381.72%01029209349.16%1060231645.77%487115442.20%180412511962560971478
203948172105212165175-102310804001847311257130121181102-2150165307472106741516162254054352423147639647612611923518.23%2124180.66%1725161544.89%738159046.42%35475646.83%11468221198339561273
Total Saison régulière288831520161113138521015-1631434473011357431472-41145397905886421543-12224885215612413762572752328382672083274027017538767251726096998119919516.26%113221680.92%44252883648.12%4319904447.76%2105450246.76%660646427386206234621681

Spiders 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
1Martin Hanzal2710172702085778811.36%543716.1946102500003061.71%11.2400
2Tom Wandell27101525-7636817213.89%1659422.00235700010153.39%00.8400
3Stephane Goulet2791524-83247478710.34%1655520.565272000003141.03%00.8600
4Nathan Beaulieu2111132453069294226.19%1941119.596511300000100.00%01.1700
5Andrew Gordon29111122-1229617315.07%1444815.47011301100057.89%00.9800

Spiders 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
1Igor Bobkov1710430.9202.46112401465780100.0000
2Andrew Raycroft104600.9013.045722029294118100.0000
3Anton Khudobin114430.8743.936560043342166100.0000
4Jeff Zatkoff84310.8812.3448721191600000.0000
5Hannu Toivonen62400.8824.58354150272280000.0000