Connexion


Centre de jeu
Vikings
31-30-5, 67pts
3
FINAL
2 Spiders
37-24-6, 80pts
Team Stats
W1StreakW1
16-15-2Home Record21-11-1
15-15-3Away Record16-13-5
6-3-1Last 10 Games8-1-1
2.74Buts par match 3.70
2.55Buts contre par match 3.39
16.35%Pourcentage en avantage numérique17.99%
84.36%Pourcentage en désavantage numérique82.39%
Spiders
37-24-6, 80pts
4
FINAL
0 IceHawks
18-44-8, 44pts
Team Stats
W1StreakL4
21-11-1Home Record9-19-5
16-13-5Away Record9-25-3
8-1-1Last 10 Games1-8-1
3.70Buts par match 2.00
3.39Buts contre par match 3.29
17.99%Pourcentage en avantage numérique12.32%
82.39%Pourcentage en désavantage numérique86.13%
BigBadStars
37-26-4, 78pts
Jour 144
Spiders
37-24-6, 80pts
Stats Équipe
W2SéquenceW1
20-10-3Fiche domicile21-11-1
17-16-1Fiche visiteur16-13-5
5-4-110 derniers matchs8-1-1
3.88Buts par match 3.70
3.46Buts contre par match 3.39
15.33%Pourcentage en avantage numérique17.99%
78.55%Pourcentage en désavantage numérique82.39%
Spiders
37-24-6, 80pts
Jour 145
Wolves
48-14-5, 101pts
Stats Équipe
W1SéquenceW1
21-11-1Fiche domicile23-6-4
16-13-5Fiche visiteur25-8-1
8-1-110 derniers matchs8-1-1
3.70Buts par match 3.49
3.39Buts contre par match 2.34
17.99%Pourcentage en avantage numérique15.38%
82.39%Pourcentage en désavantage numérique90.23%
Spiders
37-24-6, 80pts
Jour 147
Vikings
31-30-5, 67pts
Stats Équipe
W1SéquenceW1
21-11-1Fiche domicile16-15-2
16-13-5Fiche visiteur15-15-3
8-1-110 derniers matchs6-3-1
3.70Buts par match 2.74
3.39Buts contre par match 2.55
17.99%Pourcentage en avantage numérique16.35%
82.39%Pourcentage en désavantage numérique84.36%
Meneurs d'équipe
Tyler PitlickButs
Tyler Pitlick
45
Trevor CarrickPasses
Trevor Carrick
43
Tyler PitlickPoints
Tyler Pitlick
87
Tyler PitlickPlus/Moins
Tyler Pitlick
14

Stats Équipe
Buts pour
248
3.70 GFG
Tirs pour
2285
34.10 Avg
Pourcentage en avantage numérique
18.0%
50 GF
Début de zone offensive
41.1%
Buts contre
227
3.39 GAA
Tirs contre
1963
29.30 Avg
Pourcentage en désavantage numérique
82.4%
50 GA
Début de la zone défensive
39.4%
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 Mineure24
Limite contact 48 / 50
Espoirs17
Historique d'équipe
Saison actuelle37-24-6 (80PTS)
Historique126-155-31 (0.404%)
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
1Luke KuninX100.0098567578607994558248627640787955296602823,750,000$
2Tyler PitlickX100.0098507878666858574055597073907925506403411,500,000$
3Samuel BlaisX100.0099567377686050574062536899807050376302932,000,000$
4Derek RyanX100.005643837950706852955152668099850376103912,000,000$
5Liam Ohgren (R)X100.006345887855736054405057624064699037590213925,000$
6Joakim KemellX100.006354787756746450404654604064699037570211925,000$
7Thomas BordeleauX100.005040777945685851405349574068688027560231925,000$
8Samu TuomaalaX100.005052778047605054405750509966638535560222925,000$
9Samuel Savoie (R)X100.005745838952817138403738534064739037540213925,000$
10David Goyette (R)X100.005544838950635339403839654064649037530213925,000$
11James MalatestaX100.009961667552605039403246534066638526520222925,000$
12Jonathon MerrillX100.0054528475697391494045546740888130246403332,000,000$
13Trevor CarrickX100.0052477480647166604065545740847840476303111,000,000$
14Mike ReillyX100.0044488875617555504049506540868135376103212,000,000$
15Samuel BolducX100.0070578875797368484051465040727370376102532,000,000$
16Ty SmithX100.0056427183495550604070476440726470376002511,200,000$
17Colton PoolmanX100.007166867563555036403636704082694521590301750,000$
18Scott HarringtonX100.0067518175725550304027335540867135215503212,000,000$
19Christian KyrouX100.004139897642555044404544544066618531530222925,000$
Rayé
1Zach DeanX100.004844867552605040404237654066638520520222925,000$
2Roni HirvonenX100.004850817546685840703544554068688020510232925,000$
3Tyler BoucherX100.006460767573605034402939614066638520510222925,000$
4Matthew SeminoffX100.005250797554655532403033624066668520490222925,000$
MOYENNE D’ÉQUIPE 100.00635080785866604646464761487470653157
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 Zherenko100.00875961845050505050508470607554580241750,000$
Rayé
MOYENNE D’ÉQUIPE100.0087596184505050505050847060755458
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)C6745428714101533929439011324911.54%30138120.637916732020000226044.48%138700101.262510025121
2Trevor CarrickSpiders (Was)D6724345-4700115934920264.08%5299514.850331529011023100.00%000000.9012000896
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 moyenne210491051540209155624664961523279.88%102330015.72716239634401131058043.94%177300100.9349201332414
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
Luke KuninSpiders (Was)C281997-12-04No197 Lbs6 ft0NoNoYes2Pro & Farm3,750,000$0$0$No3,750,000$
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
2426.00192 Lbs6 ft01.831,335,417$



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
1Bandits1010000025-3000000000001010000025-300.0002240010468681036758777719473391532200.00%40100.00%0998223044.75%961213744.97%487106245.86%160511511669471788383
2BaronsOKC1010000026-4000000000001010000026-400.000246001046868103375877771947418836100.00%30100.00%1998223044.75%961213744.97%487106245.86%160511511669471788383
3BigBadStars41101010211831010000056-1310010101612460.7502139600010468681014575877771947179452811520630.00%9366.67%0998223044.75%961213744.97%487106245.86%160511511669471788383
4Checkers1000000123-11000000123-10000000000010.50024600104686810317587777194719718196116.67%7185.71%0998223044.75%961213744.97%487106245.86%160511511669471788383
5Cyclones21001000844210010008440000000000041.00081523001046868106775877771947462126527228.57%12283.33%0998223044.75%961213744.97%487106245.86%160511511669471788383
6Darkness6320000122184321000001284311000011010070.5832240620010468681016175877771947129426716722522.73%30680.00%0998223044.75%961213744.97%487106245.86%160511511669471788383
7Draveurs20101000912-3100010005411010000048-420.5009162500104686810837587777194796212053700.00%10190.00%0998223044.75%961213744.97%487106245.86%160511511669471788383
8Eagles11000000514000000000001100000051421.0005914001046868102975877771947168817200.00%4175.00%0998223044.75%961213744.97%487106245.86%160511511669471788383
9EvilSharks2010010058-31010000013-21000010045-110.2505914001046868105575877771947548205912216.67%9188.89%0998223044.75%961213744.97%487106245.86%160511511669471788383
10Griffins422000001113-23210000011831010000005-540.50011223300104686810116758777719479630409013323.08%19668.42%0998223044.75%961213744.97%487106245.86%160511511669471788383
11HC11000000633110000006330000000000021.000612180010468681062758777719472682245120.00%10100.00%0998223044.75%961213744.97%487106245.86%160511511669471788383
12IceBears11000000642000000000001100000064221.0006121800104686810447587777194730120326350.00%000.00%0998223044.75%961213744.97%487106245.86%160511511669471788383
13IceHawks3300000013211220000009271100000040461.0001324370110468681010675877771947601540737114.29%15193.33%0998223044.75%961213744.97%487106245.86%160511511669471788383
14IceHogs1010000046-2000000000001010000046-200.0004812001046868103675877771947601014272150.00%6266.67%0998223044.75%961213744.97%487106245.86%160511511669471788383
15Iceberg1010000026-4000000000001010000026-400.0002460010468681034758777719474812823500.00%4175.00%0998223044.75%961213744.97%487106245.86%160511511669471788383
16Magics43100000151141100000043132100000118360.75015274200104686810143758777719471052034962528.00%15380.00%0998223044.75%961213744.97%487106245.86%160511511669471788383
17Mighty Ducks10001000431000000000001000100043121.000481200104686810467587777194724712295240.00%5260.00%0998223044.75%961213744.97%487106245.86%160511511669471788383
18National54000100191363300000011652100010087190.9001937560010468681018375877771947132334912321314.29%18194.44%0998223044.75%961213744.97%487106245.86%160511511669471788383
19Nordiques1010000024-21010000024-20000000000000.0002460010468681035758777719472032294125.00%10100.00%0998223044.75%961213744.97%487106245.86%160511511669471788383
20Oceanic6310101021183320010001064311000101112-1100.8332139600010468681020175877771947165318014720315.00%26484.62%0998223044.75%961213744.97%487106245.86%160511511669471788383
21Pantheres62300100262513120000014140311001001211150.4172648741010468681020475877771947227756218424625.00%30680.00%0998223044.75%961213744.97%487106245.86%160511511669471788383
22Remparts11000000642000000000001100000064221.0006121800104686810387587777194744128155240.00%3166.67%0998223044.75%961213744.97%487106245.86%160511511669471788383
23Sagueneens11000000651000000000001100000065121.00061117001046868104075877771947271112239111.11%6183.33%0998223044.75%961213744.97%487106245.86%160511511669471788383
24Senators513010001314-12100100083530300000511-640.4001322350010468681015975877771947118334412418211.11%20480.00%0998223044.75%961213744.97%487106245.86%160511511669471788383
25SilverKnights1010000014-31010000014-30000000000000.0001230010468681030758777719473081424500.00%7185.71%0998223044.75%961213744.97%487106245.86%160511511669471788383
26Thunder1100000010191100000010190000000000021.0001017270010468681050758777719473065309333.33%000.00%0998223044.75%961213744.97%487106245.86%160511511669471788383
27Vikings1010000023-11010000023-10000000000000.0002350010468681039758777719472861021200.00%40100.00%0998223044.75%961213744.97%487106245.86%160511511669471788383
28WolfPack1000000123-1000000000001000000123-110.500246001046868102475877771947167829500.00%40100.00%0998223044.75%961213744.97%487106245.86%160511511669471788383
29Wolves20200000310-720200000310-70000000000000.00035800104686810557587777194764142454900.00%12283.33%1998223044.75%961213744.97%487106245.86%160511511669471788383
Total672924063232482272133171104001124952934121302322124132-8800.59724845970711104686810228575877771947196352267817472785017.99%2845082.39%2998223044.75%961213744.97%487106245.86%160511511669471788383
_Since Last GM Reset672924063232482272133171104001124952934121302322124132-8800.59724845970711104686810228575877771947196352267817472785017.99%2845082.39%2998223044.75%961213744.97%487106245.86%160511511669471788383
_Vs Conference502417033211891622725158020009870282599013219192-1620.62018934853711104686810165475877771947144637351913122113818.01%2154081.40%1998223044.75%961213744.97%487106245.86%160511511669471788383
_Vs Division121612032213840-271150200022193557012211621-5451.87538731110010468681043275877771947324779930854712.96%41392.68%0998223044.75%961213744.97%487106245.86%160511511669471788383

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
6780W124845970722851963522678174711
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
6729246323248227
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
331711400112495
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3412132322124132
Derniers 10 matchs
WLOTWOTL SOWSOL
711100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2785017.99%2845082.39%2
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
75877771947104686810
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
998223044.75%961213744.97%487106245.86%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
160511511669471788383


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
103737Griffins5Spiders3BLSommaire du match
106754Spiders6Sagueneens5AWSommaire du match
108769Wolves3Spiders1BLSommaire du match
110785Spiders4Oceanic3AWXXSommaire du match
112799Oceanic1Spiders2BWSommaire du match
114816Spiders5Oceanic2AWSommaire du match
116830National3Spiders5BWSommaire du match
118843Spiders2WolfPack3ALXXSommaire du match
120861Magics3Spiders4BWSommaire du match
124885Cyclones1Spiders4BWSommaire du match
125897Spiders4National5ALXSommaire du match
128913Spiders6BigBadStars4AWSommaire du match
129923IceHawks1Spiders4BWSommaire du match
131942Spiders6BigBadStars5AWXSommaire du match
133953IceHawks1Spiders5BWSommaire du match
136980Thunder1Spiders10BWSommaire du match
138991Spiders6Magics3AWSommaire du match
1401012Vikings3Spiders2BLSommaire du match
1421023Spiders4IceHawks0AWSommaire du match
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
2039672924063232482272133171104001124952934121302322124132-88024845970711104686810228575877771947196352267817472785017.99%2845082.39%2998223044.75%961213744.97%487106245.86%160511511669471788383
Total Saison régulière307951550171214149351067-1321535176011357471494-23154447906997464573-10927893517132648772943022498789302301297428967779254264328117484128521016.34%120422581.31%54525945147.88%4542959147.36%2238480846.55%706549717857219536891791

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