Connexion

Spiders
GP: 3 | W: 2 | L: 1
GF: 5 | GA: 3 | PP%: 16.67% | PK%: 100.00%
DG: Simon Bouchard | Morale : 50 | Moyenne d’équipe : 61
Prochains matchs #26 vs Monsters
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Centre de jeu
Spiders
2-1-0, 4pts
1
FINAL
2 Monsters
1-2-0, 2pts
Team Stats
W1SéquenceL1
1-0-0Fiche domicile1-1-0
1-1-0Fiche domicile0-1-0
2-0-1Derniers 10 matchs1-2-0
1.67Buts par match 1.00
1.00Buts contre par match 1.67
16.67%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique83.33%
Monsters
1-2-0, 2pts
1
FINAL
2 Spiders
2-1-0, 4pts
Team Stats
L1SéquenceW1
1-1-0Fiche domicile1-0-0
0-1-0Fiche domicile1-1-0
1-2-0Derniers 10 matchs2-0-1
1.00Buts par match 1.67
1.67Buts contre par match 1.00
0.00%Pourcentage en avantage numérique16.67%
83.33%Pourcentage en désavantage numérique100.00%
Monsters
1-2-0, 2pts
2024-04-26
Spiders
2-1-0, 4pts
Statistiques d’équipe
L1SéquenceW1
1-1-0Fiche domicile1-0-0
0-1-0Fiche visiteur1-1-0
1-2-010 derniers matchs2-0-1
1.00Buts par match 1.67
1.67Buts contre par match 1.67
0.00%Pourcentage en avantage numérique16.67%
83.33%Pourcentage en désavantage numérique100.00%
Spiders
2-1-0, 4pts
2024-04-28
Monsters
1-2-0, 2pts
Statistiques d’équipe
W1SéquenceL1
1-0-0Fiche domicile1-1-0
1-1-0Fiche visiteur0-1-0
2-0-110 derniers matchs1-2-0
1.67Buts par match 1.00
1.00Buts contre par match 1.00
16.67%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique83.33%
Monsters
1-2-0, 2pts
2024-04-30
Spiders
2-1-0, 4pts
Statistiques d’équipe
L1SéquenceW1
1-1-0Fiche domicile1-0-0
0-1-0Fiche visiteur1-1-0
1-2-010 derniers matchs2-0-1
1.00Buts par match 1.67
1.67Buts contre par match 1.67
0.00%Pourcentage en avantage numérique16.67%
83.33%Pourcentage en désavantage numérique100.00%
Meneurs d'équipe
Buts
Anders Bjork
2
Passes
Jake Leschyshyn
2
Points
Anders Bjork
2
Plus/Moins
Oskari Laaksonen
2
Victoires
Magnus Hellberg
2
Pourcentage d’arrêts
Magnus Hellberg
0.953

Statistiques d’équipe
Buts pour
5
1.67 GFG
Tirs pour
47
15.67 Avg
Pourcentage en avantage numérique
16.7%
1 GF
Début de zone offensive
38.8%
Buts contre
3
1.00 GAA
Tirs contre
64
21.33 Avg
Pourcentage en désavantage numérique
100.0%%
0 GA
Début de la zone défensive
41.8%
Informations de l'équipe

Directeur généralSimon Bouchard
DivisionNord-Est
ConférenceEst
CapitaineRiley Sheahan
Assistant #1Anders Bjork
Assistant #2Rhett Gardner


Informations de l’aréna

Capacité3,000
Assistance2,831
Billets de saison300


Informations de la formation

Équipe Pro24
Équipe Mineure20
Limite contact 44 / 50
Espoirs23


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 moyen
1Jake LeschyshynX100.00704381747978676875616167685650050660231778,333$
2Martin KautX100.00644576747776696841626364686154050650232950,000$
3Martin FrkX100.00604860696469696744656662685950050640282700,000$
4Anders Bjork (A)XX100.006243776869707063416257626359530506202611,300,000$
5Riley Sheahan (C)XX100.006243776372727260575854645971610506203011,200,000$
6Rhett Gardner (A)XX100.00665259646769686359615564615550050610263950,000$
7Peter AbbandonatoX100.00604071666263646456645761625250050610242560,000$
8Matej Blumel (R)X100.00624071686462626442626061645150050610223925,000$
9Brendan Brisson (R)XXX100.00604561696159586142585855635050050590203925,000$
10Martin Chromiak (R)X100.00574071656257576241595953625050050580203820,000$
11Ivan Morozov (R)X100.00564163636262625941575553595150050570222700,000$
12Mark FriedmanX100.00685475747584746940636269686959050690261850,000$
13Artemi Kniazev (R)X100.00574566706162626540625663645050050610213789,167$
14Nate Clurman (R)X100.0064456466666463604055536760535005061N0241650,000$
15Oskari Laaksonen (R)X100.00574569716061616040575364615150050600231853,333$
16Spencer Stastney (R)X100.0059407169616262614056576362515005060N0222800,000$
17Mason Lohrei (R)X100.00624068636559575540545361575050050580213925,000$
Rayé
1Michael Milne (R)X100.00604071646257575940545554595050050570203861,667$
2Maxim Cajkovic (R)X100.00534652565453525240505151525050050520213850,833$
3Mitch ReinkeX100.005544726960676663406352636255500506102611,200,000$
4Santeri Hatakka (R)X100.00594467696159565640525161595050050580213850,833$
MOYENNE D’ÉQUIPE100.0061446967656563624559576162545105061
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 moyen
1Magnus Hellberg100.007378779175737073737574847705070N0311750,000$
2Arturs Silovs (R)100.0068616369686971697066595050050620213870,000$
Rayé
1Eetu Makiniemi (R)100.0071605864656769676765565250050600231525,000$
MOYENNE D’ÉQUIPE100.007166667569707070706963625905064
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Anders BjorkSpiders (Har)LW/RW32020001371428.57%05317.8200005000000066.67%300000.7500000011
2Jake LeschyshynSpiders (Har)C30221201062340%05117.3301105000000067.44%4300000.7700000000
3Martin KautSpiders (Har)RW3022000265370%05518.6201105000020066.67%600000.7200000000
4Mark FriedmanSpiders (Har)D32020206451240.00%17123.981012400007100%000000.5600000100
5Artemi KniazevSpiders (Har)D3022220641000%36321.280000400006000%000000.6300000000
6Riley SheahanSpiders (Har)C/LW3011100272240%04916.60000000001110062.07%2900000.4000000000
7Rhett GardnerSpiders (Har)C/LW3011100323170%24615.6100000000080037.50%4000000.4300000001
8Oskari LaaksonenSpiders (Har)D3011220211000%15819.590000000009000%000000.3400000000
9Peter AbbandonatoSpiders (Har)C3101-1000842225.00%14816.0600004000001052.27%4400000.4200000010
10Matej BlumelSpiders (Har)LW3011000341110%04615.540000400000000%200000.4300000000
11Ivan MorozovSpiders (Har)C3000000122010%03010.1500000000000045.45%220000000000000
12Martin FrkSpiders (Har)RW3000000252250%14615.440000500000000%10000000000000
13Brendan BrissonSpiders (Har)C/LW/RW3000120251150%14715.860000000001000100.00%30000000000000
14Martin ChromiakSpiders (Har)RW3000000433110%03712.490000000007000%10000000000000
15Mason LohreiSpiders (Har)D3000080712010%15919.810000000006000%00000000000000
16Nate ClurmanSpiders (Har)D3000-100724110%16120.520001500009000%00000000000000
17Spencer StastneySpiders (Har)D3000-120011010%15719.020000500013000%00000000000000
Statistiques d’équipe totales ou en moyenne51510155200586446194610.87%1388717.401233520002842053.61%19400000.3400000122
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
1Magnus HellbergSpiders (Har)32010.9530.96188213640000030100
Statistiques d’équipe totales ou en moyenne32010.9530.9618821364000030100


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Lien
Anders Bjork (contrat à 1 volet)Spiders (Har)LW/RW261996-08-05No196 Lbs6 ft0NoNoYesNo1Pro & Farm1,300,000$835,714$400,000$257,143$NoLien
Artemi KniazevSpiders (Har)D212001-01-04Yes179 Lbs5 ft11NoNoNoNo3Pro & Farm789,167$507,322$0$0$No789,167$789,167$Lien
Arturs SilovsSpiders (Har)G212001-03-22Yes203 Lbs6 ft4NoNoNoNo3Pro & Farm870,000$559,286$0$0$No870,000$870,000$Lien
Brendan BrissonSpiders (Har)C/LW/RW202001-10-22Yes179 Lbs5 ft11NoNoNoNo3Pro & Farm925,000$594,643$0$0$No925,000$925,000$
Eetu MakiniemiSpiders (Har)G231999-04-19Yes183 Lbs6 ft2NoNoNoNo1Pro & Farm525,000$337,500$0$0$NoLien
Ivan MorozovSpiders (Har)C222000-05-05Yes179 Lbs6 ft1NoNoNoNo2Pro & Farm700,000$450,000$0$0$No700,000$Lien
Jake LeschyshynSpiders (Har)C231999-03-10No195 Lbs5 ft11NoNoNoNo1Pro & Farm778,333$500,357$0$0$NoLien
Magnus Hellberg (contrat à 1 volet)Spiders (Har)G311991-04-04No220 Lbs6 ft6YesNoYesNo1Pro & Farm750,000$482,143$0$0$NoLien
Mark FriedmanSpiders (Har)D261995-12-25No185 Lbs5 ft11NoNoYesNo1Pro & Farm850,000$546,429$0$0$NoLien
Martin ChromiakSpiders (Har)RW202002-08-20Yes187 Lbs6 ft0NoNoNoNo3Pro & Farm820,000$527,143$0$0$No820,000$820,000$
Martin Frk (contrat à 1 volet)Spiders (Har)RW281993-10-05No205 Lbs6 ft1NoNoYesNo2Pro & Farm700,000$450,000$0$0$No700,000$Lien
Martin KautSpiders (Har)RW231999-10-02No190 Lbs6 ft2NoNoNoNo2Pro & Farm950,000$610,714$0$0$No950,000$Lien
Mason LohreiSpiders (Har)D212001-01-17Yes194 Lbs6 ft4NoNoNoNo3Pro & Farm925,000$594,643$0$0$No925,000$925,000$
Matej BlumelSpiders (Har)LW222000-05-31Yes198 Lbs6 ft0NoNoNoNo3Pro & Farm925,000$594,643$0$0$No925,000$925,000$Lien
Maxim CajkovicSpiders (Har)RW212001-01-03Yes185 Lbs5 ft11NoNoNoNo3Pro & Farm850,833$546,964$0$0$No850,833$850,833$Lien
Michael MilneSpiders (Har)LW202002-09-21Yes185 Lbs5 ft11NoNoNoNo3Pro & Farm861,667$553,929$0$0$No861,667$861,667$
Mitch ReinkeSpiders (Har)D261996-02-04No181 Lbs5 ft11NoNoYesNo1Pro & Farm1,200,000$771,429$0$0$NoLien
Nate Clurman (contrat à 1 volet)Spiders (Har)D241998-05-08Yes205 Lbs6 ft2YesNoYesNo1Pro & Farm650,000$417,857$0$0$NoLien
Oskari LaaksonenSpiders (Har)D231999-07-02Yes172 Lbs6 ft1NoNoNoNo1Pro & Farm853,333$548,571$0$0$NoLien
Peter AbbandonatoSpiders (Har)C241998-03-25No194 Lbs5 ft11NoNoYesNo2Pro & Farm560,000$360,000$0$0$No560,000$Lien
Rhett Gardner (contrat à 1 volet)Spiders (Har)C/LW261996-02-28No209 Lbs6 ft3NoNoYesNo3Pro & Farm950,000$610,714$50,000$32,143$No950,000$950,000$Lien
Riley Sheahan (contrat à 1 volet)Spiders (Har)C/LW301991-12-07No216 Lbs6 ft2NoNoYesNo1Pro & Farm1,200,000$771,429$300,000$192,857$NoLien
Santeri HatakkaSpiders (Har)D212001-01-15Yes174 Lbs6 ft0NoNoNoNo3Pro & Farm850,833$546,964$0$0$No850,833$850,833$Lien
Spencer Stastney (contrat à 1 volet)Spiders (Har)D222000-01-04Yes181 Lbs5 ft10YesNoNoNo2Pro & Farm800,000$514,286$0$0$No800,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2423.50191 Lbs6 ft12.04857,674$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anders BjorkJake LeschyshynMartin Kaut35014
2Matej BlumelPeter AbbandonatoMartin Frk30014
3Riley SheahanRhett GardnerBrendan Brisson20122
4Ivan MorozovMartin Chromiak15131
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mason LohreiMark Friedman35113
2Nate ClurmanSpencer Stastney30122
3Oskari LaaksonenArtemi Kniazev30122
4Mark FriedmanArtemi Kniazev5113
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Anders BjorkJake LeschyshynMartin Kaut60113
2Matej BlumelPeter AbbandonatoMartin Frk40113
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark FriedmanArtemi Kniazev60113
2Nate ClurmanSpencer Stastney40113
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Riley SheahanBrendan Brisson60122
2Rhett GardnerMartin Chromiak40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark FriedmanOskari Laaksonen60122
2Nate ClurmanMason Lohrei40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rhett Gardner60122Mason LohreiArtemi Kniazev60122
2Riley Sheahan40122Mark FriedmanSpencer Stastney40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Jake LeschyshynMartin Kaut60122
2Rhett GardnerAnders Bjork40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Mark FriedmanArtemi Kniazev60122
2Nate ClurmanSpencer Stastney40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Anders BjorkJake LeschyshynMartin KautMark FriedmanArtemi Kniazev
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Riley SheahanRhett GardnerMartin KautMason LohreiMark Friedman
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Peter Abbandonato, Rhett Gardner, Brendan BrissonRiley Sheahan, Rhett GardnerMartin Kaut
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Oskari Laaksonen, Mason Lohrei, Nate ClurmanOskari LaaksonenArtemi Kniazev, Spencer Stastney
Tirs de pénalité
Peter Abbandonato, Martin Kaut, Martin Frk, Anders Bjork, Brendan Brisson
Gardien
#1 : Magnus Hellberg, #2 : Arturs Silovs


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
1Monsters32100000532110000002112110000032140.6675101501221047162272641322586116.67%110100.00%0447657.89%418250.00%203852.63%704979223818
Total32100000532110000002112110000032140.6675101501221047162272641322586116.67%110100.00%0447657.89%418250.00%203852.63%704979223818
_Since Last GM Reset32100000532110000002112110000032140.6675101501221047162272641322586116.67%110100.00%0447657.89%418250.00%203852.63%704979223818
_Vs Conference32100000532110000002112110000032140.6675101501221047162272641322586116.67%110100.00%0447657.89%418250.00%203852.63%704979223818
_Vs Division32100000532110000002112110000032140.6675101501221047162272641322586116.67%110100.00%0447657.89%418250.00%203852.63%704979223818

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
34W151015476413225801
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
321000053
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000021
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
211000032
Derniers 10 matchs
WLOTWOTL SOWSOL
200100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
6116.67%110100.00%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
1622722210
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
447657.89%418250.00%203852.63%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
704979223818


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
1 - 2024-04-202Spiders2Monsters0AWSommaire du match
3 - 2024-04-2210Spiders1Monsters2ALXSommaire du match
5 - 2024-04-2418Monsters1Spiders2BWSommaire du match
7 - 2024-04-2626Monsters-Spiders-
9 - 2024-04-2834Spiders-Monsters-
11 - 2024-04-3042Monsters-Spiders-
13 - 2024-05-0250Spiders-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3518
Assistance2,000831
Assistance PCT100.00%83.10%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
40 2831 - 94.37% 101,950$101,950$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,423,416$ 1,423,416$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 9 0$ 0$




Spiders Leaders statistiques des joueurs (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

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

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

Spiders Leaders statistiques des joueurs (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

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