Connexion


Centre de jeu
IceHawks
5-11-1, 11pts
3
FINAL
2 Spiders
3-12-1, 7pts
Team Stats
W1StreakL1
2-6-0Home Record0-7-1
3-5-1Away Record3-5-0
3-6-1Last 10 Games2-7-1
1.59Buts par match 2.19
3.12Buts contre par match 3.75
9.38%Pourcentage en avantage numérique16.98%
77.78%Pourcentage en désavantage numérique80.56%
Spiders
3-12-1, 7pts
2
FINAL
4 Oceanic
10-6-1, 21pts
Team Stats
L1StreakW1
0-7-1Home Record3-5-0
3-5-0Away Record7-1-1
2-7-1Last 10 Games6-4-0
2.19Buts par match 4.06
3.75Buts contre par match 3.53
16.98%Pourcentage en avantage numérique15.49%
80.56%Pourcentage en désavantage numérique85.00%
Spiders
3-12-1, 7pts
Jour 36
EvilSharks
8-8-0, 16pts
Stats Équipe
L1SéquenceL2
0-7-1Fiche domicile4-4-0
3-5-0Fiche visiteur4-4-0
2-7-110 derniers matchs5-5-0
2.19Buts par match 3.31
3.75Buts contre par match 2.69
16.98%Pourcentage en avantage numérique19.77%
80.56%Pourcentage en désavantage numérique83.87%
Magics
8-8-0, 16pts
Jour 38
Spiders
3-12-1, 7pts
Stats Équipe
L3SéquenceL1
4-4-0Fiche domicile0-7-1
4-4-0Fiche visiteur3-5-0
5-5-010 derniers matchs2-7-1
2.69Buts par match 2.19
2.63Buts contre par match 3.75
15.69%Pourcentage en avantage numérique16.98%
87.93%Pourcentage en désavantage numérique80.56%
EvilSharks
8-8-0, 16pts
Jour 40
Spiders
3-12-1, 7pts
Stats Équipe
L2SéquenceL1
4-4-0Fiche domicile0-7-1
4-4-0Fiche visiteur3-5-0
5-5-010 derniers matchs2-7-1
3.31Buts par match 2.19
2.69Buts contre par match 3.75
19.77%Pourcentage en avantage numérique16.98%
83.87%Pourcentage en désavantage numérique80.56%
Meneurs d'équipe
Mikael PyyhtiaButs
Mikael Pyyhtia
7
Tyler PitlickPasses
Tyler Pitlick
9
MacKenzie EntwistlePoints
MacKenzie Entwistle
14
Chaz ReddekoppPlus/Moins
Chaz Reddekopp
0
Jiri PateraVictoires
Jiri Patera
3
Dereck BaribeauPourcentage d’arrêts
Dereck Baribeau
1

Stats Équipe
Buts pour
35
2.19 GFG
Tirs pour
293
18.31 Avg
Pourcentage en avantage numérique
17.0%
9 GF
Début de zone offensive
35.2%
Buts contre
60
3.75 GAA
Tirs contre
511
31.94 Avg
Pourcentage en désavantage numérique
80.6%
14 GA
Début de la zone défensive
43.9%
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 Mineure19
Limite contact 43 / 50
Espoirs8
Historique d'équipe
Saison actuelle3-12-1 (7PTS)
Historique79-89-16 (0.429%)
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
1MacKenzie EntwistleX100.008962767570748952794756714074746516630251847,000$
2Tyler PitlickX100.0098508875657266504047526140908125166003321,500,000$
3Mikael Pyyhtia (R)X100.005240907844775550405050764070747516580231575,000$
4Martin FrkX100.0059517082666050644042505240867335325703111,800,000$
5Connor BunnamanX100.006751747567605040702952704076686016550261931,700$
6Nikita KorostelevX100.0063598275646050474030505299786955145302711,028,500$
7Matt FilipeX100.007450787563605033402838644078695530510271770,000$
8Mike ReillyX100.0058488082617885634064626940868235226803122,000,000$
9Jordan OesterleX100.006345867655725849404750674088803016620322825,000$
10Scott HarringtonX100.0067518677675550574043506340867135166103122,000,000$
11Trevor CarrickX100.0052477276647671534060455140848040166003021,000,000$
12Jonathan AspirotX100.006165667564706547405441544074726516590252750,000$
13Ty SmithX100.0056427981496762564064485040727070165902411,017,500$
14Colton PoolmanX100.007166887558706530402436644082764512580292750,000$
15Jake MassieX100.005862857563555040404238704078675516580271847,000$
16Chaz ReddekoppX100.008181777582555031403230504078675516560271932,000$
17Reilly WalshX100.0060528575576459474046485040746965165602511,650,000$
18Cole HultsX100.006656777556555041403546504076666016540261931,700$
Rayé
1Aidan DudasX100.0050507875406050424041445440726670195102411,017,500$
2Colton WhiteX100.0057467975615752324031325040786855205302711,540,000$
3Jesper LindgrenX100.005656847551555038404134504078675520530271847,000$
MOYENNE D’ÉQUIPE 100.00655480766064584643434559437972531857
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 Baribeau100.00755060975050505050507074626518580251700,000$
2Jiri Patera100.00755060955050505050506074626515580251825,000$
Rayé
1Eetu Makiniemi100.00755060865050505050506074626520570251825,000$
MOYENNE D’ÉQUIPE100.0075506093505050505050637462651858
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
1MacKenzie EntwistleSpiders (Was)RW166814-11180533954184911.11%840525.3414511410002490064.71%3400000.6911000310
2Tyler PitlickSpiders (Was)C165914-11120464633112215.15%439324.581346400000320046.30%32400000.7101000232
3Mikael PyyhtiaSpiders (Was)LW16729-72085142172916.67%436122.580112370002461032.31%6500000.5000000121
4Jordan OesterleSpiders (Was)D16358-110045222111614.29%2435722.362021248000061000.00%000000.4500000211
5Scott HarringtonSpiders (Was)D16257-102002916217189.52%2026916.86134935000039000.00%000000.5200000011
6Connor BunnamanSpiders (Was)C16156-41004236217254.76%333520.97112436000030059.13%32300000.3600000020
7Jonathan AspirotSpiders (Was)D16145-4140261241425.00%818211.400000000000100.00%000000.5500000001
8Ty SmithSpiders (Was)D16044-4201656210.00%918211.400000000000000.00%000000.4400000001
9Nikita KorostelevSpiders (Was)RW16033-4551748590.00%332820.54000236000000030.00%2000000.1800010000
10Jake MassieSpiders (Was)D16011-560782210.00%111187.390000000000000.00%000000.1700000000
11Reilly WalshSpiders (Was)D16011-740347360.00%31177.34000112000030050.00%1000000.1700000000
12Trevor CarrickSpiders (Was)D16011-1080171015270.00%1127417.140111035000044000.00%000000.0700000000
13Cole HultsSpiders (Was)D16000-7401022220.00%016310.210000150000120023.33%6000000.0000000000
14Colton PoolmanSpiders (Was)D16000-32551223000.00%51147.130000000000000.00%000000.0000010000
15Chaz ReddekoppSpiders (Was)D16000020201000.00%2261.6700013000021000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne240254873-88142103332572407818910.42%115363015.13613195834300043142048.92%83600000.40120208107
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)1631210.8843.7295200595090211.0003160201
2Dereck BaribeauSpiders (Was)10001.0000.001000010000.0000016000
Statistiques d’équipe totales ou en moyenne1731210.8843.6896300595100211.00031616201


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
MacKenzie EntwistleSpiders (Was)RW251999-07-14No205 Lbs6 ft3NoNoNo1Pro & Farm847,000$0$0$No
RFA
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 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
2427.17195 Lbs6 ft11.291,079,579$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Tyler PitlickMacKenzie Entwistle40122
2Mikael PyyhtiaConnor BunnamanNikita Korostelev30122
3MacKenzie EntwistleTyler 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 PitlickMacKenzie Entwistle60122
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
1MacKenzie Entwistle60122
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
2MacKenzie Entwistle40122Scott HarringtonTrevor Carrick40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1MacKenzie Entwistle60122
2Tyler PitlickMikael Pyyhtia40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan Oesterle60122
2Scott HarringtonTrevor Carrick40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler PitlickMacKenzie EntwistleJordan Oesterle
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Tyler PitlickMacKenzie EntwistleJordan Oesterle
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Connor Bunnaman, Nikita Korostelev, Tyler PitlickConnor Bunnaman, Nikita KorostelevTyler Pitlick
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Reilly Walsh, Chaz Reddekopp, Cole HultsReilly WalshChaz Reddekopp, Cole Hults
Tirs de pénalité
, MacKenzie Entwistle, 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
1Darkness20200000611-51010000025-31010000046-200.000611170013147144103103864772418527228.57%8187.50%020440450.50%23050345.73%11424047.50%355239408116201100
2EvilSharks1010000025-31010000025-30000000000000.000235001314711310310386431131828200.00%9366.67%020440450.50%23050345.73%11424047.50%355239408116201100
3Griffins2020000039-61010000014-31010000025-300.0003580013147138103103864852137519111.11%10280.00%020440450.50%23050345.73%11424047.50%355239408116201100
4IceHawks2010010035-21000010023-11010000012-110.250358001314712410310386445122445100.00%12283.33%020440450.50%23050345.73%11424047.50%355239408116201100
5Magics1010000023-11010000023-10000000000000.0002460013147117103103864256622300.00%3166.67%020440450.50%23050345.73%11424047.50%355239408116201100
6National1010000025-3000000000001010000025-300.00024600131471131031038642299292150.00%2150.00%020440450.50%23050345.73%11424047.50%355239408116201100
7Oceanic2020000058-31010000034-11010000024-200.000510151013147146103103864721618359111.11%8187.50%020440450.50%23050345.73%11424047.50%355239408116201100
8Sagueneens1010000014-31010000014-30000000000000.0001230013147191031038642978213133.33%4175.00%020440450.50%23050345.73%11424047.50%355239408116201100
9Senators10000010211000000000001000001021121.000213001314712210310386421410195120.00%50100.00%020440450.50%23050345.73%11424047.50%355239408116201100
10Thunder2110000068-21010000036-31100000032120.5006101600131471491031038648219164510220.00%8187.50%020440450.50%23050345.73%11424047.50%355239408116201100
11WolfPack11000000312000000000001100000031221.0003580013147118103103864225622200.00%3166.67%020440450.50%23050345.73%11424047.50%355239408116201100
Total16212001103560-25807001001634-18825000101926-770.2193560951013147129310310386451113617036953916.98%721480.56%020440450.50%23050345.73%11424047.50%355239408116201100
_Since Last GM Reset16212001103560-25807001001634-18825000101926-770.2193560951013147129310310386451113617036953916.98%721480.56%020440450.50%23050345.73%11424047.50%355239408116201100
_Vs Conference15112001103259-27807001001634-18715000101625-950.1673255871013147127510310386448913116434751917.65%691381.16%020440450.50%23050345.73%11424047.50%355239408116201100
_Vs Division30700010711-41030000025-32040001056-120.333712190013147144103103864752733796116.67%14564.29%020440450.50%23050345.73%11424047.50%355239408116201100

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalités Mises en échecButs en filet désertBlanchissages
167L135609529351113617036910
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
1621201103560
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
80701001634
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
82500101926
Derniers 10 matchs
WLOTWOTL SOWSOL
170110
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
53916.98%721480.56%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
103103864131471
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
20440450.50%23050345.73%11424047.50%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
355239408116201100


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
36258Spiders-EvilSharks-
38268Magics-Spiders-
40289EvilSharks-Spiders-
42300Spiders-Griffins-
45322Wolves-Spiders-
48344Sagueneens-Spiders-
50351Spiders-Senators-
52371Spiders-National-
54381BigBadStars-Spiders-
56403Spiders-BigBadStars-
57414SilverKnights-Spiders-
60427Spiders-Thunder-
63447Bandits-Spiders-
65461Spiders-Remparts-
67475Draveurs-Spiders-
69492Spiders-Cyclones-
71508IceHawks-Spiders-
73523Spiders-Mighty Ducks-
74536Sagueneens-Spiders-
78563Spiders-HC-
79572Pantheres-Spiders-
82594IceBears-Spiders-
84606Spiders-EvilSharks-
87626EvilSharks-Spiders-
90651Spiders-IceHawks-
92661BaronsOKC-Spiders-
95684Griffins-Spiders-
99709Spiders-Pantheres-
100718National-Spiders-
103743Spiders-BigBadStars-
104749National-Spiders-
107768Spiders-Pantheres-
109781Pantheres-Spiders-
111798Spiders-Oceanic-
113812Checkers-Spiders-
117839Spiders-IceHogs-
118843Roadrunners-Spiders-
121870Griffins-Spiders-
125897Spiders-Wolves-
126902Oceanic-Spiders-
130932Darkness-Spiders-
133957Spiders-Wolves-
134963Eagles-Spiders-
137984Spiders-Vikings-
138995Thunder-Spiders-
1421025IceHogs-Spiders-
1461048Spiders-Darkness-
1471055Senators-Spiders-
1481068Spiders-Magics-
1521087Senators-Spiders-
1531098Spiders-WolfPack-
1541103Spiders-Nordiques-
1571118IceHogs-Spiders-
1581126Spiders-Iceberg-
1591137Spiders-IceHogs-
1611143Spiders-Sagueneens-
1621151Wolves-Spiders-
1641164Spiders-Sagueneens-
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
203816212001103560-25807001001634-18825000101926-773560951013147129310310386451113617036953916.98%721480.56%020440450.50%23050345.73%11424047.50%355239408116201100
Total Saison régulière1786089010496553611-5889304407224277293-1689304503272276318-421685531012156544140186149705224107617141719694542516061621429176211815.49%70213680.63%32702553248.84%2751564148.77%1378283248.66%401028084634128021311029

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