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Spiders
GP: 82 | W: 47 | L: 30 | OTL: 5 | P: 99
GF: 200 | GA: 161 | PP%: 15.64% | PK%: 87.27%
DG: Simon Bouchard | Morale : 50 | Moyenne d’équipe : 61
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Centre de jeu
Spiders
47-30-5, 99pts
2
FINAL
3 Phantoms
41-33-8, 90pts
Team Stats
L1SéquenceW4
26-14-1Fiche domicile26-12-3
21-16-4Fiche domicile15-21-5
4-4-2Derniers 10 matchs7-2-1
2.44Buts par match 2.12
1.96Buts contre par match 2.06
15.64%Pourcentage en avantage numérique12.44%
87.27%Pourcentage en désavantage numérique90.68%
Sound Tigers
46-29-7, 99pts
4
FINAL
1 Spiders
47-30-5, 99pts
Team Stats
L1SéquenceL1
25-12-4Fiche domicile26-14-1
21-17-3Fiche domicile21-16-4
6-4-0Derniers 10 matchs4-4-2
2.33Buts par match 2.44
2.04Buts contre par match 1.96
16.87%Pourcentage en avantage numérique15.64%
85.26%Pourcentage en désavantage numérique87.27%
Meneurs d'équipe
Buts
Martin Kaut
22
Passes
Martin Kaut
31
Points
Martin Kaut
53
Plus/Moins
Peter Abbandonato
22
Victoires
Magnus Hellberg
37
Pourcentage d’arrêts
Magnus Hellberg
0.895

Statistiques d’équipe
Buts pour
200
2.44 GFG
Tirs pour
1685
20.55 Avg
Pourcentage en avantage numérique
15.6%
38 GF
Début de zone offensive
40.3%
Buts contre
161
1.96 GAA
Tirs contre
1450
17.68 Avg
Pourcentage en désavantage numérique
87.3%%
28 GA
Début de la zone défensive
38.2%
Informations de l'équipe

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


Informations de l’aréna

Capacité3,000
Assistance2,666
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
1Martin KautSpiders (Har)RW812231539175931171926316411.46%12158719.602911262140001685245.61%11400100.6749100862
2Jake LeschyshynSpiders (Har)C75203050104201102031775311711.30%11145419.39571232202000055066.29%143300000.6911000338
3Matej BlumelSpiders (Har)LW811829472130072861384311613.04%5130016.06581321185000024359.38%6400000.7200000332
4Martin FrkSpiders (Har)RW811828461651151091171566313511.54%4132016.31571235180000013050.00%8400000.7027012333
5Peter AbbandonatoSpiders (Har)C8121254622260661571383310315.22%5135316.71279191800000223457.03%123100000.6839000266
6Anders BjorkSpiders (Har)LW/RW811324379200648513134949.92%8149718.49459222150000160144.44%9000000.4902000106
7Spencer StastneySpiders (Har)D817283516280806053163613.21%39161719.975712271820001119300%000000.4300000221
8Artemi KniazevSpiders (Har)D816273318435133797019378.57%47171221.1535836184000188100%000000.3900001424
9Nate ClurmanSpiders (Har)D8172532185001315861193211.48%52163220.163811331800000147200%000000.3900000312
10Cole PerfettiHartfordC/LW44131427480479094307813.83%185119.3544810940000331152.04%68600000.6328000442
11Brendan BrissonSpiders (Har)C/LW/RW81141327121004967105247613.33%7112413.890000600031973247.54%6100000.4822000112
12Rhett GardnerSpiders (Har)C/LW8110132392808613595227610.53%9109313.5000031400031224058.50%75900000.4200000220
13Riley SheahanSpiders (Har)C/LW818122081403611673366210.96%7119514.7601123800022101259.94%63900100.3300000102
14Oskari LaaksonenSpiders (Har)D81214160480111664113184.88%63149518.460007460000152010%000000.2100000022
15Mason LohreiSpiders (Har)D8141216203601134622102018.18%48151118.660000220000147200%000000.2100000123
16Mark FriedmanSpiders (Har)D3341014-2180714133122212.12%3977223.401121875000167100%000000.3611000202
17Ivan MorozovSpiders (Har)C815813-814055825814518.62%77709.5100000000001044.68%64900000.3400000111
18Mitch ReinkeSpiders (Har)D484711-10220515236112511.11%2096820.1732524123000012000%000000.2300000011
19Martin ChromiakSpiders (Har)RW52448-510032384911368.16%352210.06000010000512054.55%2200000.3100000111
20Michael MilneSpiders (Har)LW40123-48031173311213.03%442510.63000000000450072.73%1100000.1400000000
Statistiques d’équipe totales ou en moyenne142620135655716352325154017121755537131911.45%3912420916.9842711133152151000121514411657.28%584300200.461539113424050
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)61372130.8951.8336964711310800510.792246120341
2Arturs SilovsSpiders (Har)2010820.8881.83121323373290000.71472061101
Statistiques d’équipe totales ou en moyenne81472950.8941.8349106101501409051318181442


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 ft0NoNoYesYes1Pro & Farm1,300,000$400,000$0$NoLien
Artemi KniazevSpiders (Har)D212001-01-04Yes179 Lbs5 ft11NoNoNoNo3Pro & Farm789,167$0$0$No789,167$789,167$Lien
Arturs SilovsSpiders (Har)G212001-03-22Yes203 Lbs6 ft4NoNoNoNo3Pro & Farm870,000$0$0$No870,000$870,000$Lien
Brendan BrissonSpiders (Har)C/LW/RW202001-10-22Yes179 Lbs5 ft11NoNoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Eetu MakiniemiSpiders (Har)G231999-04-19Yes183 Lbs6 ft2NoNoNoNo1Pro & Farm525,000$0$0$NoLien
Ivan MorozovSpiders (Har)C222000-05-05Yes179 Lbs6 ft1NoNoNoNo2Pro & Farm700,000$0$0$No700,000$Lien
Jake LeschyshynSpiders (Har)C231999-03-10No195 Lbs5 ft11NoNoNoNo1Pro & Farm778,333$0$0$NoLien
Magnus Hellberg (contrat à 1 volet)Spiders (Har)G311991-04-04No220 Lbs6 ft6YesNoYesYes1Pro & Farm750,000$0$0$NoLien
Mark FriedmanSpiders (Har)D261995-12-25No185 Lbs5 ft11NoNoYesYes1Pro & Farm850,000$0$0$NoLien
Martin ChromiakSpiders (Har)RW202002-08-20Yes187 Lbs6 ft0NoNoNoNo3Pro & Farm820,000$0$0$No820,000$820,000$
Martin Frk (contrat à 1 volet)Spiders (Har)RW281993-10-05No205 Lbs6 ft1NoNoYesYes2Pro & Farm700,000$0$0$No700,000$Lien
Martin KautSpiders (Har)RW231999-10-02No190 Lbs6 ft2NoNoNoNo2Pro & Farm950,000$0$0$No950,000$Lien
Mason LohreiSpiders (Har)D212001-01-17Yes194 Lbs6 ft4NoNoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$
Matej BlumelSpiders (Har)LW222000-05-31Yes198 Lbs6 ft0NoNoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Lien
Maxim CajkovicSpiders (Har)RW212001-01-03Yes185 Lbs5 ft11NoNoNoNo3Pro & Farm850,833$0$0$No850,833$850,833$Lien
Michael MilneSpiders (Har)LW202002-09-21Yes185 Lbs5 ft11NoNoNoNo3Pro & Farm861,667$0$0$No861,667$861,667$
Mitch ReinkeSpiders (Har)D261996-02-04No181 Lbs5 ft11NoNoYesYes1Pro & Farm1,200,000$0$0$NoLien
Nate Clurman (contrat à 1 volet)Spiders (Har)D241998-05-08Yes205 Lbs6 ft2YesNoYesYes1Pro & Farm650,000$0$0$NoLien
Oskari LaaksonenSpiders (Har)D231999-07-02Yes172 Lbs6 ft1NoNoNoNo1Pro & Farm853,333$0$0$NoLien
Peter AbbandonatoSpiders (Har)C241998-03-25No194 Lbs5 ft11NoNoYesYes2Pro & Farm560,000$0$0$No560,000$Lien
Rhett Gardner (contrat à 1 volet)Spiders (Har)C/LW261996-02-28No209 Lbs6 ft3NoNoYesYes3Pro & Farm950,000$50,000$0$No950,000$950,000$Lien
Riley Sheahan (contrat à 1 volet)Spiders (Har)C/LW301991-12-07No216 Lbs6 ft2NoNoYesYes1Pro & Farm1,200,000$300,000$0$NoLien
Santeri HatakkaSpiders (Har)D212001-01-15Yes174 Lbs6 ft0NoNoNoNo3Pro & Farm850,833$0$0$No850,833$850,833$Lien
Spencer Stastney (contrat à 1 volet)Spiders (Har)D222000-01-04Yes181 Lbs5 ft10YesNoNoNo2Pro & Farm800,000$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
1Admirals201000103301010000012-11000001021120.50033600677055144651056859345271214408112.50%6183.33%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
2Baby Hawks22000000633110000002111100000042241.0006121800677055144051056859345271110427114.29%4250.00%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
3Bears41100110880211000004402000011044050.6258132100677055145451056859345541529807114.29%100100.00%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
4Bruins32000010734110000002112100001052361.00071219016770551467510568593454116263911327.27%13192.31%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
5Cabaret Lady Mary Ann3120000035-2211000003301010000002-220.333358006770551469510568593453910273313215.38%11190.91%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
6Caroline31200000651110000004132020000024-220.3336121800677055144851056859345539224913215.38%10460.00%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
7Chiefs21100000660110000004221010000024-220.500612180067705514415105685934543510314125.00%40100.00%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
8Chill22000000312110000001011100000021141.00035801677055143451056859345391018346116.67%70100.00%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
9Comets21000100642110000005231000010012-130.750611170067705514425105685934536518426233.33%90100.00%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
10Cougars312000001013-32110000078-11010000035-220.33310182811677055146851056859345812516497342.86%8187.50%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
11Crunch32100000844211000004311100000041340.6678142201677055146651056859345511512576116.67%60100.00%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
12Heat21100000550110000003121010000024-220.50059140067705514525105685934520910312150.00%3166.67%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
13Jayhawks220000001349110000005141100000083541.000132437006770551465510568593455019455200.00%10100.00%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
14Las Vegas21000010422110000001011000001032141.000461001677055144251056859345389639600.00%30100.00%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
15Manchots32100000532211000003301100000020240.667591401677055144151056859345451618647342.86%90100.00%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
16Marlies3030000038-51010000012-12020000026-400.00035800677055145051056859345641724647228.57%10370.00%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
17Minnesota22000000752110000003211100000043141.00071219006770551444510568593453871632600.00%60100.00%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
18Monarchs21100000431110000003121010000012-120.5004610006770551434510568593453210846600.00%4175.00%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
19Monsters40400000611-52020000035-22020000036-300.00061218006770551473510568593455323205516212.50%9277.78%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
20Monsters2110000045-1110000002111010000024-220.50046100067705514285105685934531121239400.00%6183.33%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
21Oceanics21100000321110000003121010000001-120.50033600677055143951056859345471217335120.00%5180.00%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
22Oil Kings2110000057-2110000004221010000015-420.50058130067705514425105685934557814365240.00%6183.33%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
23Phantoms421000011192211000003122100000188050.6251120310167705514785105685934566142071800.00%8275.00%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
24Rocket320001001046210001004311100000061550.833101626006770551478510568593455311184811218.18%8187.50%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
25Sags211000003211010000012-11100000020220.500369016770551441510568593452441040500.00%5180.00%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
26Seattle22000000826110000005141100000031241.000816240067705514355105685934533935327114.29%100100.00%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
27Senators32000001743110000003032100000144050.83371219016770551468510568593454510174713215.38%6183.33%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
28Sound Tigers41300000510-52020000016-52110000044020.250591401677055145251056859345673026871119.09%13284.62%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
29Stars2020000024-21010000023-11010000001-100.0002460067705514385105685934532812351000.00%60100.00%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
30Thunder3200100014591000100032122000000113861.00014274100677055141155105685934562151667800.00%70100.00%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
31Wolf Pack4100003015114210000107522000002086281.00015193400677055149551056859345102292310216318.75%7185.71%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
Total823930013722001613941241401110976928411516002621039211990.60420034654611067705514168551056859345145040552815192433815.64%2202887.27%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
_Since Last GM Reset823930013722001613941241401110976928411516002621039211990.60420034654611067705514168551056859345145040552815192433815.64%2202887.27%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
_Vs Conference45181701162978314219100101039354249700152584810530.589971612580767705514887510568593457682332868691342014.93%1191686.55%01229211358.16%1135200456.64%655113257.86%2113151318395731022525
_Vs Division2648000315657-1132500010252501323000213132-1150.2885694150036770551444151056859345440136158508781215.38%661183.33%01229211358.16%1135200456.64%655113257.86%2113151318395731022525

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8299L1200346546168514504055281519110
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8239301372200161
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
41241411109769
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
411516026210392
Derniers 10 matchs
WLOTWOTL SOWSOL
440002
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2433815.64%2202887.27%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
5105685934567705514
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
1229211358.16%1135200456.64%655113257.86%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2113151318395731022525


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
3 - 2023-10-1212Cougars8Spiders3BLSommaire du match
4 - 2023-10-1317Jayhawks1Spiders5BWSommaire du match
7 - 2023-10-1636Cabaret Lady Mary Ann2Spiders0BLSommaire du match
11 - 2023-10-2064Spiders2Sound Tigers0AWSommaire du match
15 - 2023-10-2487Spiders6Rocket1AWSommaire du match
16 - 2023-10-2599Bears1Spiders0BLSommaire du match
18 - 2023-10-27113Crunch3Spiders2BLSommaire du match
20 - 2023-10-29127Minnesota2Spiders3BWSommaire du match
24 - 2023-11-02151Spiders4Minnesota3AWSommaire du match
25 - 2023-11-03158Spiders2Chiefs4ALSommaire du match
27 - 2023-11-05174Spiders4Baby Hawks2AWSommaire du match
29 - 2023-11-07188Spiders2Monsters4ALSommaire du match
32 - 2023-11-10206Bears3Spiders4BWSommaire du match
36 - 2023-11-14236Spiders0Oceanics1ALSommaire du match
38 - 2023-11-16245Spiders2Manchots0AWSommaire du match
40 - 2023-11-18262Wolf Pack2Spiders3BWXXSommaire du match
44 - 2023-11-22281Spiders3Cougars5ALSommaire du match
46 - 2023-11-24297Monsters3Spiders2BLSommaire du match
47 - 2023-11-25310Crunch0Spiders2BWSommaire du match
50 - 2023-11-28327Sound Tigers2Spiders0BLSommaire du match
52 - 2023-11-30344Spiders6Phantoms5AWSommaire du match
53 - 2023-12-01355Sags2Spiders1BLSommaire du match
57 - 2023-12-05387Spiders1Comets2ALXSommaire du match
59 - 2023-12-07403Spiders3Seattle1AWSommaire du match
61 - 2023-12-09409Spiders2Heat4ALSommaire du match
62 - 2023-12-10421Spiders1Oil Kings5ALSommaire du match
65 - 2023-12-13443Bruins1Spiders2BWSommaire du match
68 - 2023-12-16464Spiders2Monsters4ALSommaire du match
69 - 2023-12-17476Admirals2Spiders1BLSommaire du match
71 - 2023-12-19487Phantoms0Spiders3BWSommaire du match
73 - 2023-12-21501Oil Kings2Spiders4BWSommaire du match
75 - 2023-12-23519Cougars0Spiders4BWSommaire du match
79 - 2023-12-27528Monsters2Spiders1BLSommaire du match
81 - 2023-12-29549Spiders2Senators1AWSommaire du match
82 - 2023-12-30557Spiders3Bruins2AWXXSommaire du match
86 - 2024-01-03587Spiders3Bears2AWXXSommaire du match
88 - 2024-01-05602Baby Hawks1Spiders2BWSommaire du match
89 - 2024-01-06612Comets2Spiders5BWSommaire du match
94 - 2024-01-11644Spiders3Thunder1AWSommaire du match
96 - 2024-01-13656Spiders0Cabaret Lady Mary Ann2ALSommaire du match
98 - 2024-01-15671Spiders2Bruins0AWSommaire du match
100 - 2024-01-17690Rocket1Spiders0BLXSommaire du match
102 - 2024-01-19703Spiders1Monsters2ALSommaire du match
103 - 2024-01-20712Stars3Spiders2BLSommaire du match
105 - 2024-01-22725Las Vegas0Spiders1BWSommaire du match
108 - 2024-01-25746Spiders0Caroline1ALSommaire du match
110 - 2024-01-27768Spiders8Thunder2AWSommaire du match
120 - 2024-02-06787Monsters1Spiders2BWSommaire du match
122 - 2024-02-08796Heat1Spiders3BWSommaire du match
124 - 2024-02-10811Spiders2Caroline3ALSommaire du match
126 - 2024-02-12819Seattle1Spiders5BWSommaire du match
127 - 2024-02-13831Spiders2Chill1AWSommaire du match
129 - 2024-02-15839Monarchs1Spiders3BWSommaire du match
131 - 2024-02-17859Phantoms1Spiders0BLSommaire du match
134 - 2024-02-20879Spiders1Bears2ALXSommaire du match
136 - 2024-02-22891Wolf Pack3Spiders4BWSommaire du match
138 - 2024-02-24903Rocket2Spiders4BWSommaire du match
139 - 2024-02-25916Thunder2Spiders3BWXSommaire du match
141 - 2024-02-27938Spiders2Sags0AWSommaire du match
144 - 2024-03-01955Spiders2Admirals1AWXXSommaire du match
146 - 2024-03-03970Spiders1Monarchs2ALSommaire du match
148 - 2024-03-05982Cabaret Lady Mary Ann1Spiders3BWSommaire du match
150 - 2024-03-07997Chiefs2Spiders4BWSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
152 - 2024-03-091011Caroline1Spiders4BWSommaire du match
154 - 2024-03-111028Spiders4Wolf Pack3AWXXSommaire du match
157 - 2024-03-141053Spiders0Stars1ALSommaire du match
159 - 2024-03-161062Spiders8Jayhawks3AWSommaire du match
160 - 2024-03-171074Spiders3Las Vegas2AWXXSommaire du match
162 - 2024-03-191084Manchots2Spiders1BLSommaire du match
164 - 2024-03-211102Oceanics1Spiders3BWSommaire du match
166 - 2024-03-231117Senators0Spiders3BWSommaire du match
167 - 2024-03-241126Spiders2Sound Tigers4ALSommaire du match
169 - 2024-03-261139Spiders0Marlies3ALSommaire du match
172 - 2024-03-291164Spiders4Crunch1AWSommaire du match
176 - 2024-04-021191Manchots1Spiders2BWSommaire du match
177 - 2024-04-031198Spiders4Wolf Pack3AWXXSommaire du match
180 - 2024-04-061224Spiders2Senators3ALXXSommaire du match
181 - 2024-04-071233Chill0Spiders1BWSommaire du match
183 - 2024-04-091243Marlies2Spiders1BLSommaire du match
185 - 2024-04-111260Spiders2Marlies3ALSommaire du match
187 - 2024-04-131274Spiders2Phantoms3ALXXSommaire du match
189 - 2024-04-151288Sound Tigers4Spiders1BLSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3518
Assistance78,60030,695
Assistance PCT95.85%74.87%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2666 - 88.86% 96,688$3,964,214$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
1,387,132$ 1,423,416$ 1,423,416$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
7,414$ 1,387,132$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 7,414$ 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