Connexion


Centre de jeu
Wolves
46-27-4, 96pts
3
FINAL
1 Spiders
13-52-9, 35pts
Team Stats
W2StreakL2
23-14-1Home Record7-27-4
23-13-3Away Record6-25-5
4-4-2Last 10 Games0-9-1
2.96Buts par match 2.18
2.47Buts contre par match 3.72
15.43%Pourcentage en avantage numérique16.84%
88.51%Pourcentage en désavantage numérique81.25%
Spiders
13-52-9, 35pts
0
FINAL
2 Sagueneens
36-36-5, 77pts
Team Stats
L2StreakOTW1
7-27-4Home Record16-19-3
6-25-5Away Record20-17-2
0-9-1Last 10 Games7-2-1
2.18Buts par match 2.81
3.72Buts contre par match 2.90
16.84%Pourcentage en avantage numérique17.83%
81.25%Pourcentage en désavantage numérique83.38%
BigBadStars
43-24-5, 91pts
Jour 168
Spiders
13-52-9, 35pts
Stats Équipe
L1SéquenceL2
22-13-3Fiche domicile7-27-4
21-11-2Fiche visiteur6-25-5
6-4-010 derniers matchs0-9-1
2.72Buts par match 2.18
2.39Buts contre par match 3.72
16.91%Pourcentage en avantage numérique16.84%
87.07%Pourcentage en désavantage numérique81.25%
Spiders
13-52-9, 35pts
Jour 169
Magics
35-34-6, 76pts
Stats Équipe
L2SéquenceL1
7-27-4Fiche domicile23-15-0
6-25-5Fiche visiteur12-19-6
0-9-110 derniers matchs3-7-0
2.18Buts par match 2.61
3.72Buts contre par match 2.71
16.84%Pourcentage en avantage numérique13.33%
81.25%Pourcentage en désavantage numérique86.02%
Spiders
13-52-9, 35pts
Jour 170
Darkness
47-26-3, 97pts
Stats Équipe
L2SéquenceW2
7-27-4Fiche domicile24-12-2
6-25-5Fiche visiteur23-14-1
0-9-110 derniers matchs4-4-2
2.18Buts par match 4.00
3.72Buts contre par match 3.39
16.84%Pourcentage en avantage numérique18.61%
81.25%Pourcentage en désavantage numérique85.19%
Meneurs d'équipe
Mikael PyyhtiaButs
Mikael Pyyhtia
22
Jordan OesterlePasses
Jordan Oesterle
39
Jordan OesterlePoints
Jordan Oesterle
57
Chaz ReddekoppPlus/Moins
Chaz Reddekopp
-2
Jiri PateraVictoires
Jiri Patera
13
Dereck BaribeauPourcentage d’arrêts
Dereck Baribeau
0.957

Stats Équipe
Buts pour
161
2.18 GFG
Tirs pour
1597
21.58 Avg
Pourcentage en avantage numérique
16.8%
48 GF
Début de zone offensive
37.4%
Buts contre
275
3.72 GAA
Tirs contre
2248
30.38 Avg
Pourcentage en désavantage numérique
81.3%
51 GA
Début de la zone défensive
41.6%
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 Mineure20
Limite contact 44 / 50
Espoirs8
Historique d'équipe
Saison actuelle13-52-9 (35PTS)
Historique89-129-20 (0.374%)
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 PitlickX100.009850887565726650404752614090812596003321,500,000$
2Mikael Pyyhtia (R)X100.00524090784477555040505076407074759580231575,000$
3Martin FrkX100.0059517082666050644042505240867335465703111,800,000$
4Connor BunnamanX100.00675174756760504070295270407668609550261931,700$
5Nikita KorostelevX100.0063598275646050474030505299786955105302711,028,500$
6Matt FilipeX100.007450787563605033402838644078695544520271770,000$
7Mike ReillyX100.0058488082617885634064626940868235366803122,000,000$
8Jordan OesterleX100.00634586765572584940475067408880309620322825,000$
9Scott HarringtonX100.006751867767555057404350634086713596103122,000,000$
10Trevor CarrickX100.005247727664767153406045514084804096003021,000,000$
11Jonathan AspirotX100.006165667564706547405441544074726510590252750,000$
12Colton PoolmanX100.007166887558706530402436644082764510580292750,000$
13Jake MassieX100.00586285756355504040423870407867559580271847,000$
14Ty SmithX100.005642798149676256406448504072707095802411,017,500$
15Reilly WalshX100.0060528575576459474046485040746965215702511,650,000$
16Chaz ReddekoppX100.00818177758255503140323050407867559560271932,000$
17Cole HultsX100.006656777556555041403546504076666021540261931,700$
Rayé
1Aidan DudasX100.0050507875406050424041445440726670195102411,017,500$
2Tyler Boucher (R)X100.006460588268605035403238564066638518510213925,000$
3Colton WhiteX100.0057467975615752324031325040786855205302711,540,000$
4Jesper LindgrenX100.005656847551555038404134504078675520530271847,000$
MOYENNE D’ÉQUIPE 100.00635479776064574541424458437971541757
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
1Dereck Baribeau100.00755060975050505050507074626512580251700,000$
2Jiri Patera100.00755060955050505050506074626510580251825,000$
Rayé
1Eetu Makiniemi100.00755060865050505050506074626520570251825,000$
MOYENNE D’ÉQUIPE100.0075506093505050505050637462651458
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Reggie Lemelin57466368998030CAN702100,000$


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
1Jordan OesterleSpiders (Was)D74183957-20480169110150409112.00%106165822.42111223882660001215100.00%000000.6900000565
2Tyler PitlickSpiders (Was)C74133649-51740264199181511117.18%16179624.2741317442300001991141.11%152500000.5514000684
3Mikael PyyhtiaSpiders (Was)LW74222648-46100242552105914810.48%33160721.72115162317200051471137.19%36300010.6011000444
4MacKenzie EntwistleCapitalsRW62202242-366010179130215641769.30%22154124.86311144718700051522157.69%10400000.5447110841
5Connor BunnamanSpiders (Was)C74162036-46460187186149428810.74%18153720.7871017301860000100156.00%149100010.4700000461
6Scott HarringtonSpiders (Was)D74111526-4972015266108327110.19%85126017.045611691780000147100.00%000000.4100000135
7Trevor CarrickSpiders (Was)D7451722-4738089625717328.77%45126617.11369431780000158000.00%000000.3500000001
8Nikita KorostelevSpiders (Was)RW7441418-41321089385620617.14%13149820.2502213179000000045.10%10200000.2400110013
9Ty SmithSpiders (Was)D7431114-281806453159920.00%4584511.430001000000010.00%000000.3300000114
10Jonathan AspirotSpiders (Was)D7411011-27811512443166116.25%3983611.310000000000100.00%000000.2600201023
11Colton PoolmanSpiders (Was)D74055-1143597129280.00%275357.240000000000000.00%000000.1900010110
12Jake MassieSpiders (Was)D74145-13200323295711.11%455397.290000000000000.00%000000.1900000010
13Reilly WalshSpiders (Was)D33134-14801116168116.25%42648.01011327000070050.00%2800000.3000000000
14Cole HultsSpiders (Was)D33101-1360291273414.29%136611.090000290000260029.14%15100000.0500000000
15Chaz ReddekoppSpiders (Was)D74000-2201204100.00%101181.6000039000086000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne1016116222338-444558401522121412023598289.65%5091567315.43347611036416480001210527546.79%376400020.43612431303731
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
1Jiri PateraSpiders (Was)74135290.8773.7142824226521530330.70020740515
2Dereck BaribeauSpiders (Was)70000.9571.21198004920000.0000074110
Statistiques d’équipe totales ou en moyenne81135290.8803.6044804226922450330.700207474625


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
Aidan DudasSpiders (Was)LW242000-06-15No164 Lbs5 ft7NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Lien / Lien NHL
Chaz ReddekoppSpiders (Was)D271997-01-01No225 Lbs6 ft4NoNoNo1Pro & Farm932,000$0$0$No
UFA
Lien / Lien NHL
Cole HultsSpiders (Was)D261998-05-22No190 Lbs6 ft0NoNoNo1Pro & Farm931,700$0$0$No
RFA
Lien / Lien NHL
Colton PoolmanSpiders (Was)D291995-12-18No190 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$
UFA
Lien / Lien NHL
Colton WhiteSpiders (Was)D271997-05-03No195 Lbs6 ft1NoNoNo1Pro & Farm1,540,000$0$0$No
UFA
Lien / Lien NHL
Connor BunnamanSpiders (Was)C261998-04-16No207 Lbs6 ft1NoNoNo1Pro & Farm931,700$0$0$No
RFA
Lien / Lien NHL
Dereck BaribeauSpiders (Was)G251999-01-22No203 Lbs6 ft6NoNoNo1Pro & Farm700,000$0$0$No
RFA
Lien / Lien NHL
Eetu MakiniemiSpiders (Was)G251999-04-19No184 Lbs6 ft2NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Jake MassieSpiders (Was)D271997-01-21No200 Lbs6 ft1NoNoNo1Pro & Farm847,000$0$0$No
UFA
Lien / Lien NHL
Jesper LindgrenSpiders (Was)D271997-05-19No176 Lbs6 ft1NoNoNo1Pro & Farm847,000$0$0$No
UFA
Lien / Lien NHL
Jiri PateraSpiders (Was)G251999-02-24No209 Lbs6 ft4NoNoNo1Pro & Farm825,000$0$0$No
RFA
Lien / Lien NHL
Jonathan AspirotSpiders (Was)D251999-05-16No205 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Lien / Lien NHL
Jordan OesterleSpiders (Was)D321992-06-25No187 Lbs6 ft0NoNoNo2Pro & Farm825,000$0$0$No825,000$
UFA
Lien / Lien NHL
Martin FrkSpiders (Was)LW311993-10-05No205 Lbs6 ft1NoNoNo1Pro & Farm1,800,000$0$0$No
UFA
Lien / Lien NHL
Matt FilipeSpiders (Was)LW271997-12-31No196 Lbs6 ft2NoNoNo1Pro & Farm770,000$0$0$No
UFA
Lien / Lien NHL
Mikael PyyhtiaSpiders (Was)LW232001-12-17Yes166 Lbs6 ft0NoNoNo1Pro & Farm575,000$0$0$No
RFA
Lien NHL
Mike ReillySpiders (Was)D311993-07-13No196 Lbs6 ft1NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
UFA
Lien / Lien NHL
Nikita KorostelevSpiders (Was)RW271997-02-08No201 Lbs6 ft1NoNoNo1Pro & Farm1,028,500$0$0$No
UFA
Lien / Lien NHL
Reilly WalshSpiders (Was)D251999-04-21No192 Lbs6 ft0NoNoNo1Pro & Farm1,650,000$0$0$No
RFA
Lien / Lien NHL
Scott HarringtonSpiders (Was)D311993-03-10No204 Lbs6 ft2NoNoNo2Pro & Farm2,000,000$0$0$No2,000,000$
UFA
Lien / Lien NHL
Trevor CarrickSpiders (Was)D301994-07-04No201 Lbs6 ft1NoNoNo2Pro & Farm1,000,000$0$0$No1,000,000$
UFA
Lien / Lien NHL
Ty SmithSpiders (Was)D242000-03-24No180 Lbs5 ft11NoNoNo1Pro & Farm1,017,500$0$0$No
RFA
Lien / Lien NHL
Tyler BoucherSpiders (Was)RW212003-01-16Yes205 Lbs6 ft2NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
RFA
Lien NHL
Tyler PitlickSpiders (Was)C331991-11-01No199 Lbs6 ft2NoNoNo2Pro & Farm1,500,000$0$0$No1,500,000$
UFA
Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2427.00195 Lbs6 ft11.381,082,829$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler Pitlick40122
2Mikael PyyhtiaConnor BunnamanNikita Korostelev30122
3Tyler Pitlick20122
4Connor BunnamanMikael PyyhtiaNikita Korostelev10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan Oesterle40122
2Scott HarringtonTrevor Carrick30122
3Ty SmithJonathan Aspirot20122
4Jake MassieColton Poolman10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler Pitlick60122
2Mikael PyyhtiaConnor BunnamanNikita Korostelev40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan Oesterle60122
2Scott HarringtonTrevor Carrick40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Tyler PitlickMikael Pyyhtia40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan Oesterle60122
2Scott HarringtonTrevor Carrick40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Jordan Oesterle60122
240122Scott HarringtonTrevor Carrick40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Tyler PitlickMikael Pyyhtia40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan Oesterle60122
2Scott HarringtonTrevor Carrick40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler PitlickJordan Oesterle
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler PitlickJordan Oesterle
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Connor Bunnaman, Nikita Korostelev, Tyler PitlickConnor Bunnaman, Nikita KorostelevTyler Pitlick
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, Chaz Reddekopp, Chaz Reddekopp,
Tirs de pénalité
, , Tyler Pitlick, Mikael Pyyhtia, Connor Bunnaman
Gardien
#1 : Jiri Patera, #2 : Dereck Baribeau


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
1Bandits1010000034-11010000034-10000000000000.0003580058603882553254950530411210226116.67%40100.00%0970196949.26%1000219445.58%463110841.79%171311861850530924455
2BaronsOKC1000010034-11000010034-10000000000010.500369005860388385325495053041136368225.00%30100.00%0970196949.26%1000219445.58%463110841.79%171311861850530924455
3BigBadStars30200100611-51010000035-22010010036-310.167611170058603885253254950530793526711119.09%11190.91%0970196949.26%1000219445.58%463110841.79%171311861850530924455
4Checkers1010000013-21010000013-20000000000000.00012300586038822532549505302668294125.00%40100.00%0970196949.26%1000219445.58%463110841.79%171311861850530924455
5Cyclones1010000003-3000000000001010000003-300.0000000058603882153254950530266831200.00%4175.00%0970196949.26%1000219445.58%463110841.79%171311861850530924455
6Darkness413000001116-52020000048-42110000078-120.2501121320058603889753254950530133434010017317.65%18383.33%0970196949.26%1000219445.58%463110841.79%171311861850530924455
7Draveurs1010000004-41010000004-40000000000000.00000000586038813532549505303818227100.00%10100.00%0970196949.26%1000219445.58%463110841.79%171311861850530924455
8Eagles1000000123-11000000123-10000000000010.5002350058603882153254950530176431300.00%20100.00%0970196949.26%1000219445.58%463110841.79%171311861850530924455
9EvilSharks52300000141313120000010912110000044040.40014264000586038811553254950530135526510520315.00%24579.17%0970196949.26%1000219445.58%463110841.79%171311861850530924455
10Griffins51400000918-93120000069-32020000039-620.20091625015860388945325495053014538511092129.52%16475.00%0970196949.26%1000219445.58%463110841.79%171311861850530924455
11HC1010000025-3000000000001010000025-300.000246005860388215325495053059131234100.00%5260.00%0970196949.26%1000219445.58%463110841.79%171311861850530924455
12IceBears10000010431100000104310000000000021.000461000586038829532549505302212197228.57%10100.00%0970196949.26%1000219445.58%463110841.79%171311861850530924455
13IceHawks40200101510-52000010146-22020000014-320.25059141058603885753254950530792436849111.11%18288.89%0970196949.26%1000219445.58%463110841.79%171311861850530924455
14IceHogs403000011117-62020000048-42010000179-210.1251122330058603881165325495053015955398421419.05%15193.33%0970196949.26%1000219445.58%463110841.79%171311861850530924455
15Iceberg1010000037-4000000000001010000037-400.00035800586038825532549505304398324250.00%4175.00%0970196949.26%1000219445.58%463110841.79%171311861850530924455
16Magics3020001057-2201000105501010000002-220.33358130058603887353254950530641316621516.67%7185.71%0970196949.26%1000219445.58%463110841.79%171311861850530924455
17Mighty Ducks1010000025-3000000000001010000025-300.00024600586038812532549505304041222200.00%6183.33%0970196949.26%1000219445.58%463110841.79%171311861850530924455
18National41200010811-3210000106422020000027-540.50081220015860388735325495053095373510311218.18%14378.57%0970196949.26%1000219445.58%463110841.79%171311861850530924455
19Nordiques1010000046-2000000000001010000046-200.00048120058603882953254950530224626300.00%30100.00%0970196949.26%1000219445.58%463110841.79%171311861850530924455
20Oceanic404000001319-62020000079-220200000610-400.000132639205860388945325495053016938378214428.57%15286.67%0970196949.26%1000219445.58%463110841.79%171311861850530924455
21Pantheres40400000719-122020000049-520200000310-700.000713200058603887753254950530157373210310110.00%15660.00%0970196949.26%1000219445.58%463110841.79%171311861850530924455
22Remparts1000010034-1000000000001000010034-110.50034700586038823532549505304066185120.00%20100.00%0970196949.26%1000219445.58%463110841.79%171311861850530924455
23Roadrunners1010000024-21010000024-20000000000000.0002350058603882453254950530318622500.00%3166.67%0970196949.26%1000219445.58%463110841.79%171311861850530924455
24Sagueneens50400100720-1330300000515-102010010025-310.100710170058603889353254950530137404710918316.67%21480.95%0970196949.26%1000219445.58%463110841.79%171311861850530924455
25Senators4020101089-12020000025-32000101064240.5008122000586038882532549505308719368923417.39%16287.50%0970196949.26%1000219445.58%463110841.79%171311861850530924455
26SilverKnights1010000013-21010000013-20000000000000.00012300586038817532549505302221020200.00%5260.00%0970196949.26%1000219445.58%463110841.79%171311861850530924455
27Thunder422000001217-521100000810-22110000047-340.500122133005860388965325495053014743319017211.76%12191.67%0970196949.26%1000219445.58%463110841.79%171311861850530924455
28Vikings1010000036-3000000000001010000036-300.000369005860388275325495053042613315240.00%4325.00%0970196949.26%1000219445.58%463110841.79%171311861850530924455
29WolfPack2110000046-2000000000002110000046-220.500471100586038847532549505304191241500.00%6266.67%0970196949.26%1000219445.58%463110841.79%171311861850530924455
30Wolves40300100818-102020000016-520100100712-510.12581523005860388845325495053011123288115640.00%13376.92%0970196949.26%1000219445.58%463110841.79%171311861850530924455
Total7485201643161275-114384270023285136-51364250141176139-63350.236161287448325860388159753254950530224862064417132854816.84%2725181.25%0970196949.26%1000219445.58%463110841.79%171311861850530924455
_Since Last GM Reset7485201643161275-114384270023285136-51364250141176139-63350.236161287448325860388159753254950530224862064417132854816.84%2725181.25%0970196949.26%1000219445.58%463110841.79%171311861850530924455
_Vs Conference5774001432124205-81304220012169108-3927318013115597-42280.246124222346325860388120353254950530169749751912722223716.67%2153882.33%0970196949.26%1000219445.58%463110841.79%171311861850530924455
_Vs Division15321011203854-165211000101613310110011102241-19130.43338681060158603883375325495053043713015137249918.37%601673.33%0970196949.26%1000219445.58%463110841.79%171311861850530924455

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
7435L216128744815972248620644171332
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
748521643161275
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
38427023285136
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
36425141176139
Derniers 10 matchs
WLOTWOTL SOWSOL
090100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2854816.84%2725181.25%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
532549505305860388
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
970196949.26%1000219445.58%463110841.79%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
171311861850530924455


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
16EvilSharks5Spiders2BLSommaire du match
213Spiders4Darkness6ALSommaire du match
537Oceanic4Spiders3BLSommaire du match
963Sagueneens4Spiders1BLSommaire du match
1173Spiders3WolfPack1AWSommaire du match
1396Spiders2National5ALSommaire du match
15105Griffins4Spiders1BLSommaire du match
17122Spiders2Griffins5ALSommaire du match
19137Magics3Spiders2BLSommaire du match
21157Spiders2Senators1AWXXSommaire du match
23167Thunder6Spiders3BLSommaire du match
25183Spiders1IceHawks2ALSommaire du match
26197Darkness5Spiders2BLSommaire du match
29213Spiders3Thunder2AWSommaire du match
31228IceHawks3Spiders2BLXSommaire du match
33244Spiders2Oceanic4ALSommaire du match
36258Spiders0EvilSharks2ALSommaire du match
38268Magics2Spiders3BWXXSommaire du match
40289EvilSharks2Spiders7BWSommaire du match
42300Spiders1Griffins4ALSommaire du match
45322Wolves3Spiders0BLSommaire du match
48344Sagueneens4Spiders2BLSommaire du match
50351Spiders4Senators3AWXSommaire du match
52371Spiders0National2ALSommaire du match
54381BigBadStars5Spiders3BLSommaire du match
56403Spiders1BigBadStars3ALSommaire du match
57414SilverKnights3Spiders1BLSommaire du match
60427Spiders1Thunder5ALSommaire du match
63447Bandits4Spiders3BLSommaire du match
65461Spiders3Remparts4ALXSommaire du match
67475Draveurs4Spiders0BLSommaire du match
69492Spiders0Cyclones3ALSommaire du match
71508IceHawks3Spiders2BLXXSommaire du match
73523Spiders2Mighty Ducks5ALSommaire du match
74536Sagueneens7Spiders2BLSommaire du match
78563Spiders2HC5ALSommaire du match
79572Pantheres5Spiders1BLSommaire du match
82594IceBears3Spiders4BWXXSommaire du match
84606Spiders4EvilSharks2AWSommaire du match
87626EvilSharks2Spiders1BLSommaire du match
90651Spiders0IceHawks2ALSommaire du match
92661BaronsOKC4Spiders3BLXSommaire du match
95684Griffins0Spiders2BWSommaire du match
99709Spiders1Pantheres4ALSommaire du match
100718National0Spiders1BWSommaire du match
103743Spiders2BigBadStars3ALXSommaire du match
104749National4Spiders5BWXXSommaire du match
107768Spiders2Pantheres6ALSommaire du match
109781Pantheres4Spiders3BLSommaire du match
111798Spiders4Oceanic6ALSommaire du match
113812Checkers3Spiders1BLSommaire du match
117839Spiders4IceHogs5ALXXSommaire du match
118843Roadrunners4Spiders2BLSommaire du match
121870Griffins5Spiders3BLSommaire du match
125897Spiders1Wolves5ALSommaire du match
126902Oceanic5Spiders4BLSommaire du match
130932Darkness3Spiders2BLSommaire du match
133957Spiders6Wolves7ALXSommaire du match
134963Eagles3Spiders2BLXXSommaire du match
137984Spiders3Vikings6ALSommaire du match
138995Thunder4Spiders5BWSommaire du match
1421025IceHogs5Spiders2BLSommaire du match
1461048Spiders3Darkness2AWSommaire du match
1471055Senators4Spiders2BLSommaire du match
1481068Spiders0Magics2ALSommaire du match
1521087Senators1Spiders0BLSommaire du match
1531098Spiders1WolfPack5ALSommaire du match
1541103Spiders4Nordiques6ALSommaire du match
1571118IceHogs3Spiders2BLSommaire du match
1581126Spiders3Iceberg7ALSommaire du match
1591137Spiders3IceHogs4ALSommaire du match
1611143Spiders2Sagueneens3ALXSommaire du match
1621151Wolves3Spiders1BLSommaire du match
1641164Spiders0Sagueneens2ALSommaire du match
1681181BigBadStars-Spiders-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
1691184Spiders-Magics-
1701189Spiders-Darkness-
1711191Spiders-Nordiques-



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
20387485201643161275-114384270023285136-51364250141176139-6335161287448325860388159753254950530224862064417132854816.84%2725181.25%0970196949.26%1000219445.58%463110841.79%171311861850530924455
Total Saison régulière236661290119129679826-147119346407356346395-49117326504673333431-981966791239191866185232180776528150521602138720716220902095563599415715.79%90217380.82%33468709748.87%3521733248.02%1727370046.68%536937566076169428531385

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