Spiders

GP: 82 | W: 54 | L: 23 | OTL: 5 | P: 113
GF: 370 | GA: 279 | PP%: 21.22% | PK%: 78.34%
DG: Simon Bouchard | Morale : 50 | Moyenne d'Équipe : 46
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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 SP
1John Hayden (R)XX100.00905671717860475441555267483835050580
2Jesse PuljujarviX100.00573588667463595835516463483734050580
3Dale Weise (A)XX100.00685083637262685142455660455750050570
4Anders Bjork (R)XX100.00493589685858425835575864483532050560
5Gabriel DumontXXX100.00665086726057464683425070484643050550
6John Quenneville (R)XXX100.00533591666765365236525257453734050540
7Markus Hannikainen (R)XX100.00563588686953404867445260454036050530
8Taylor Leier (C)X100.00473589735561434835504664484136050530
9Tyler GraovacXX100.00483588637354384883425455484136050520
10Riley Tufte (R)X100.00505050507850505050505050503230050500
11Justin ShuggX100.00413576705737293135313160453532050440
12Jens Looke (R)XX100.00414343435640404143414143423230050430
13Markus NutivaaraX100.00553589746264615135534967483835050590
14Samuel Girard (R)X100.00513592794555524935524563483532050550
15Calle Rosen (R)X100.00493573656349353335333255483532050480
16John Draeger (R)X100.00394343435937373943393943413230050420
17Mark Friedman (R)X100.00394343435737373943393943413230050420
18Jeff Taylor (R)X100.00353737375535353537353537363230050380
Rayé
1Yegor Korshkov (R)X100.00454545455745454545454545453230050450
2Brett Pollock (R)XX100.00414545455739394145414145433230050430
3Connor Hurley (R)X100.00414545455339394145414145433230050430
4Arkhip Nekolenko (R)XXX100.00414545454539394145414145433230050420
5Rhett Gardner (R)X100.00404040407740404040404040403230050420
6Nathan Noel (R)X100.00384040405237373840383840393230050400
7Kyle Platzer (R)XX100.00364040405735353640363640383230050390
8Zachary Stepan (R)X100.00364040404735353640363640383230050390
9Austin Carroll (R)X100.00353737377535353537353537363230050390
10Anton Zlobin (R)XX100.00333737376633333337333337353230050380
11Kirill Kaprizov (R)XX100.00353737375635353537353537363230050380
12Alfons Malmstrom (R)X100.00404040406240404040404040403230050420
13Keaton Thompson (R)X100.00394343435937373943393943413230050420
14Taylor Aronson (R)X100.00394343436337373943393943413230050420
15Jamie DoornboschX100.00309327326529273135313133453532050360
MOYENNE D'ÉQUIPE100.0046425852614541424342434943353205046
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 SP
1Jon Gillies (R)100.0042458287384646354565453734050500
2Ilya Samsonov (R)100.0048494877484747474747463230050490
Rayé
1Mackenzie Skapski100.0048455170474646454656553532050480
2Brent Moran (R)100.0038403868373636363636353230050400
3Stephon Williams (R)100.0038403871373636363636353230050400
4Dylan Wells (R)100.0037373766373737373737373230050400
MOYENNE D'ÉQUIPE100.004243497341414139414642333105045
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Phil Housley72717875697072USA542500,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP 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
1John HaydenSpiders (Har)C/LW68327510750153252741512615819812.26%24123918.2351924592370002475148.79%144300011.7324122854
2Gabriel DumontSpiders (Har)C/LW/RW673754913674301051382628218014.12%20110716.53151227642000000203265.65%78600011.6414114778
3Anders BjorkSpiders (Har)C/LW59185876106021120214571448.41%18103117.4841519511930001212244.95%103000001.4735000513
4Jesse PuljujarviSpiders (Har)RW54373774328033882355816115.74%1295717.74891751190000036041.94%6200021.55230003126
5John QuennevilleSpiders (Har)C/LW/RW763339722810035982074913915.94%16125716.5410102053255000035043.42%35700001.1500000475
6Dale WeiseSpiders (Har)LW/RW82353267195315118822377218914.77%19123515.073912291320000149146.23%10600111.0802012443
7Samuel GirardSpiders (Har)D748505813340667011543916.96%116165722.4041721572250222204100.00%000000.7005000121
8Markus HannikainenSpiders (Har)LW/RW8221284912100681191904013711.05%21110413.4702232710171683255.75%22600000.8900000314
9Markus NutivaaraSpiders (Har)D47123749103406464103367311.65%65104522.2441317571630002133200.00%000000.9400000222
10Taylor LeierSpiders (Har)LW8216324836040136174541189.20%38116614.2200012202163081042.68%8200020.8200000201
11Tyler GraovacSpiders (Har)C/LW821826442826034148190411089.47%17113813.8800045011102910166.95%141600000.7701000032
12Riley TufteSpiders (Har)LW82141832-16315926894318114.89%1286110.511015210003491056.78%47900000.7423003220
13Calle RosenSpiders (Har)D82419233452096255418287.41%97168320.531342724500012170020.00%500000.2701000001
14John DraegerSpiders (Har)D823121543580120121951415.79%63148718.150222940000205100.00%000000.2000000111
15Tomas NosekHartfordC/LW76396407142391726.09%411416.40022318000001153.91%12800001.5700000201
16Jens LookeSpiders (Har)LW/RW371784100217175285.88%540811.05000070001450030.77%2600000.3900000001
17Mark FriedmanSpiders (Har)D473477475937115927.27%2487018.53101190000077000.00%000000.1600001000
18Yegor KorshkovSpiders (Har)RW28437-710028182741314.81%230410.89202759000000047.62%8400000.4600000200
19Justin ShuggSpiders (Har)LW22066-300518183210.00%42129.64000000002280033.33%1500000.5700000000
20Taylor AronsonSpiders (Har)D37246722049454540.00%2069218.72202486011154000.00%000000.1700000010
21Jeff TaylorSpiders (Har)D812355763597461433.33%27141017.422022950000128100.00%000000.0700010000
22Mike ReillyHartfordD31340407032233.33%06923.291122700008100.00%000001.1400000000
23Brett PollockSpiders (Har)LW/RW71233000020450.00%0588.320000000000100.00%100001.0300000000
24Connor HurleySpiders (Har)C3033200605020.00%04816.14000215000000036.36%6600001.2400000000
25Keaton ThompsonSpiders (Har)D2902262404535230.00%1952117.99000375000027000.00%000000.0800000000
26Jamie DoornboschSpiders (Har)D70004195900000.00%113519.4300002700008000.00%000000.0000100000
Stats d'équipe Total ou en Moyenne1327308557865403790100153313942477679176912.43%6442182216.44631141774872480347482070431054.52%631200170.7910283512464843
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
1Ilya SamsonovSpiders (Har)49331240.8833.4928890116814330200.700204834300
2Jon GilliesSpiders (Har)36211110.8883.132070011089640400.769133448110
Stats d'équipe Total ou en Moyenne85542350.8853.3449600227623970600.727338282410


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 StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Alfons MalmstromSpiders (Har)D191998-06-12Yes190 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm650,000$65,000$0$NoLien
Anders BjorkSpiders (Har)C/LW211996-08-05Yes186 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm525,000$52,500$0$NoLien
Anton ZlobinSpiders (Har)LW/RW241993-02-22Yes195 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm625,000$62,500$0$NoLien
Arkhip NekolenkoSpiders (Har)C/LW/RW201996-11-03Yes159 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm825,000$82,500$0$NoLien
Austin CarrollSpiders (Har)RW231994-03-26Yes214 Lbs6 ft3NoNoNo3Avec RestrictionPro & Farm525,000$52,500$0$NoLien
Brent MoranSpiders (Har)G211996-07-05Yes186 Lbs6 ft3NoNoNo2Contrat d'EntréePro & Farm650,000$65,000$0$NoLien
Brett PollockSpiders (Har)LW/RW211996-05-17Yes182 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm925,000$92,500$0$NoLien
Calle RosenSpiders (Har)D231994-02-02Yes195 Lbs6 ft1NoNoNo4Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Connor HurleySpiders (Har)C221995-09-15Yes174 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm825,000$82,500$0$NoLien
Dale WeiseSpiders (Har)LW/RW291988-08-05No206 Lbs6 ft2NoNoNo3Sans RestrictionPro & Farm1,600,000$160,000$0$NoLien
Dylan WellsSpiders (Har)G191998-01-03Yes182 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm742,500$74,250$0$NoLien
Gabriel DumontSpiders (Har)C/LW/RW261990-10-06No190 Lbs5 ft10NoNoNo2Avec RestrictionPro & Farm750,000$75,000$0$NoLien
Ilya SamsonovSpiders (Har)G201997-02-22Yes203 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm895,000$89,500$0$NoLien
Jamie DoornboschSpiders (Har)D271990-02-01No198 Lbs6 ft2NoNoNo1Avec RestrictionPro & Farm700,000$70,000$0$NoLien
Jeff TaylorSpiders (Har)D231994-04-13Yes180 Lbs6 ft0NoNoNo3Avec RestrictionPro & Farm525,000$52,500$0$NoLien
Jens LookeSpiders (Har)LW/RW201997-04-11Yes180 Lbs6 ft1NoNoNo3Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Jesse PuljujarviSpiders (Har)RW191998-05-07No211 Lbs6 ft4NoNoNo3Contrat d'EntréePro & Farm925,000$92,500$0$NoLien
John DraegerSpiders (Har)D231993-12-02Yes186 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm700,000$70,000$0$NoLien
John HaydenSpiders (Har)C/LW221995-02-14Yes223 Lbs6 ft3NoNoNo2Avec RestrictionPro & Farm700,000$70,000$0$NoLien
John QuennevilleSpiders (Har)C/LW/RW211996-04-16Yes195 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm843,000$84,300$0$NoLien
Jon GilliesSpiders (Har)G231994-01-22Yes223 Lbs6 ft6NoNoNo2Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Justin ShuggSpiders (Har)LW251991-12-24No185 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm600,000$60,000$0$NoLien
Keaton ThompsonSpiders (Har)D221995-09-14Yes187 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm700,000$70,000$0$NoLien
Kirill KaprizovSpiders (Har)LW/RW201997-04-26Yes185 Lbs5 ft9NoNoNo3Contrat d'EntréePro & Farm525,000$52,500$0$NoLien
Kyle PlatzerSpiders (Har)C/RW221995-03-04Yes185 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm710,000$71,000$0$NoLien
Mackenzie SkapskiSpiders (Har)G231994-06-15No191 Lbs6 ft3NoNoNo1Avec RestrictionPro & Farm630,000$63,000$0$NoLien
Mark FriedmanSpiders (Har)D211995-12-25Yes185 Lbs5 ft10NoNoNo2Contrat d'EntréePro & Farm700,000$70,000$0$NoLien
Markus HannikainenSpiders (Har)LW/RW241993-03-26Yes200 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm693,000$69,300$0$NoLien
Markus NutivaaraSpiders (Har)D231994-06-06No191 Lbs6 ft1NoNoNo3Avec RestrictionPro & Farm792,000$79,200$0$NoLien
Nathan NoelSpiders (Har)C201997-06-21Yes175 Lbs5 ft10NoNoNo3Contrat d'EntréePro & Farm650,000$65,000$0$NoLien
Rhett GardnerSpiders (Har)LW211996-02-28Yes220 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm650,000$65,000$0$NoLien
Riley TufteSpiders (Har)LW191998-04-10Yes220 Lbs6 ft6NoNoNo4Contrat d'EntréePro & Farm895,000$89,500$0$NoLien
Samuel GirardSpiders (Har)D191998-05-12Yes162 Lbs5 ft10NoNoNo4Contrat d'EntréePro & Farm742,500$74,250$0$NoLien
Stephon WilliamsSpiders (Har)G241993-04-28Yes194 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm925,000$92,500$0$NoLien
Taylor AronsonSpiders (Har)D251991-12-30Yes196 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm605,000$60,500$0$NoLien
Taylor LeierSpiders (Har)LW231994-02-15No180 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm810,000$81,000$0$NoLien
Tyler GraovacSpiders (Har)C/LW241993-04-27No208 Lbs6 ft5NoNoNo1Avec RestrictionPro & Farm767,000$76,700$0$NoLien
Yegor KorshkovSpiders (Har)RW211996-07-10Yes180 Lbs6 ft4NoNoNo4Contrat d'EntréePro & Farm825,000$82,500$0$NoLien
Zachary StepanSpiders (Har)C231994-01-06Yes165 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm650,000$65,000$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
3922.18191 Lbs6 ft12.49752,564$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1John HaydenGabriel DumontJohn Quenneville33014
2Dale WeiseAnders BjorkJesse Puljujarvi31113
3Taylor LeierTyler GraovacMarkus Hannikainen22122
4Justin ShuggRiley TufteJens Looke14122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus NutivaaraSamuel Girard35113
2Calle RosenJeff Taylor30113
3John DraegerMark Friedman27122
4Samuel GirardMark Friedman8113
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1John HaydenGabriel DumontJohn Quenneville55014
2Dale WeiseAnders BjorkJesse Puljujarvi45113
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus NutivaaraSamuel Girard60014
2Jeff TaylorCalle Rosen40113
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Tyler GraovacTaylor Leier60131
2Markus HannikainenJustin Shugg40131
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus NutivaaraMark Friedman50131
2John DraegerSamuel Girard50131
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Tyler Graovac50131Calle RosenMarkus Nutivaara50131
2John Hayden50131John DraegerJeff Taylor50230
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Gabriel DumontJohn Hayden60113
2Anders BjorkJesse Puljujarvi40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Markus NutivaaraSamuel Girard60113
2Calle RosenJeff Taylor40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
John HaydenGabriel DumontJesse PuljujarviMarkus NutivaaraSamuel Girard
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Taylor LeierGabriel DumontDale WeiseMarkus NutivaaraSamuel Girard
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Riley Tufte, Markus Hannikainen, Tyler GraovacRiley Tufte, Markus HannikainenDale Weise
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
John Draeger, Mark Friedman, Calle RosenJohn DraegerMark Friedman, Calle Rosen
Tirs de Pénalité
Samuel Girard, John Hayden, Gabriel Dumont, Anders Bjork, Riley Tufte
Gardien
#1 : Ilya Samsonov, #2 : Jon Gillies


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
LigueDomicileVisiteur
# 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
1Admirals21100000770110000004131010000036-320.5007132000158122801663951967944647123173513538.46%5180.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
2Baby Hawks2020000047-31010000013-21010000034-100.0004610001581228016539519679446453131636700.00%8275.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
3Bears422000002220222000000149520200000811-340.5002238600015812280161119519679446411536537224416.67%19668.42%11447268253.95%1313238255.12%793148353.47%2033140418486061084554
4Bruins3200100014951100000041321001000108261.00014243800158122801698951967944645513215915640.00%80100.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
5Cabaret Lady Mary Ann31101000171251010000045-121001000137640.667172946001581228016121951967944641193034487114.29%16475.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
6Caroline430010002310132200000015782100100083581.0002336590015812280161859519679446411333349016212.50%16287.50%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
7Chiefs20200000411-71010000023-11010000028-600.00046100015812280165395196794464751418498112.50%9455.56%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
8Chill211000007521010000015-41100000060620.5007121901158122801666951967944646314153610330.00%50100.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
9Comets21000100880110000004311000010045-130.75081119001581228016749519679446457138406233.33%30100.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
10Cougars302000011117-61010000057-220100001610-410.16711203100158122801675951967944641233630726116.67%14471.43%11447268253.95%1313238255.12%793148353.47%2033140418486061084554
11Crunch3110100014122201010009901100000053240.667142135001581228016113951967944648418315121523.81%13561.54%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
12Heat21000010963100000105411100000042241.000913220015812280169895196794464541922527114.29%11463.64%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
13Jayhawks2020000048-41010000034-11010000014-300.0004812001581228016479519679446441138318112.50%4175.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
14Las Vegas2020000048-41010000035-21010000013-200.00046100015812280165395196794464512422335120.00%11190.91%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
15Manchots4310000014952110000056-12200000093660.7501424380015812280161389519679446410332476914428.57%20480.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
16Marlies312000001011-1211000009811010000013-220.3331017270015812280168995196794464881726597457.14%13376.92%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
17Minnesota220000001156110000008351100000032141.0001118290015812280166595196794464701014413133.33%7185.71%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
18Monarchs210010001477110000008261000100065141.00014233700158122801697951967944646017243713215.38%12283.33%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
19Monsters4210001017125210000109632110000086260.7501728450015812280161149519679446411043427320525.00%21671.43%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
20Monsters210000101183110000005321000001065141.00011172800158122801667951967944646227123911436.36%6266.67%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
21Oceanics21100000743110000004041010000034-120.500711180115812280165695196794464701636461119.09%70100.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
22Oil Kings21000001550110000003211000000123-130.750581300158122801658951967944644651935500.00%60100.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
23Phantoms43000001181262200000084421000001108270.8751835530015812280161569519679446410136496820525.00%17476.47%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
24Rocket3100011012752100001010461000010023-150.833121830001581228016116951967944647118505516318.75%13376.92%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
25Senators3210000016133211000009811100000075240.6671631470015812280169995196794464852752521417.14%15380.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
26Sharks21100000131121010000067-11100000074320.50013223500158122801610595196794464942621587114.29%70100.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
27Sound Tigers440000002010102200000012572200000085381.00020305000158122801612595196794464782738751715.88%14564.29%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
28Stars2200000014410110000009361100000051441.000142337001581228016107951967944644411232610220.00%9277.78%11447268253.95%1313238255.12%793148353.47%2033140418486061084554
29Thunder3300000016791100000052322000000115661.000162642001581228016101951967944648323265510330.00%120100.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
Total8244230624337027991412512010301951346141191105213175145301130.689370618988021581228016289395196794464239767684015963447321.22%3377378.34%31447268253.95%1313238255.12%793148353.47%2033140418486061084554
31Wolf Pack4300100024141022000000115621001000139481.00024446800158122801619095196794464158423210413323.08%16475.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
_Since Last GM Reset8244230624337027991412512010301951346141191105213175145301130.689370618988021581228016289395196794464239767684015963447321.22%3377378.34%31447268253.95%1313238255.12%793148353.47%2033140418486061084554
_Vs Conference46301103011219151682317500010109694023136030011108228690.75021937859702158122801616089519679446413343924998982084823.08%1913880.10%11447268253.95%1313238255.12%793148353.47%2033140418486061084554
_Vs Division28121010111388751147000010744232145101001644519290.5181382353730015812280161019951967944647782492955511242419.35%1233174.80%11447268253.95%1313238255.12%793148353.47%2033140418486061084554

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
82113W337061898828932397676840159602
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
8244236243370279
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4125121030195134
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4119115213175145
Derniers 10 Matchs
WLOTWOTL SOWSOL
630001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
3447321.22%3377378.34%3
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
951967944641581228016
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
1447268253.95%1313238255.12%793148353.47%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
2033140418486061084554


Derniers Match 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
4 - 2018-10-0617Oil Kings2Spiders3WSommaire du Match
9 - 2018-10-1148Bears4Spiders7WSommaire du Match
12 - 2018-10-1471Sharks7Spiders6LSommaire du Match
14 - 2018-10-1678Stars3Spiders9WSommaire du Match
16 - 2018-10-1891Monsters3Spiders5WSommaire du Match
18 - 2018-10-20102Spiders5Phantoms2WSommaire du Match
23 - 2018-10-25136Chill5Spiders1LSommaire du Match
25 - 2018-10-27148Cabaret Lady Mary Ann5Spiders4LSommaire du Match
28 - 2018-10-30172Spiders4Thunder2WSommaire du Match
30 - 2018-11-01184Spiders2Cougars5LSommaire du Match
32 - 2018-11-03198Spiders4Sound Tigers3WSommaire du Match
34 - 2018-11-05212Spiders3Manchots1WSommaire du Match
35 - 2018-11-06218Spiders7Senators5WSommaire du Match
38 - 2018-11-09236Spiders1Marlies3LSommaire du Match
40 - 2018-11-11256Spiders3Oceanics4LSommaire du Match
42 - 2018-11-13265Manchots3Spiders1LSommaire du Match
44 - 2018-11-15278Spiders5Phantoms6LXXSommaire du Match
46 - 2018-11-17292Cougars7Spiders5LSommaire du Match
47 - 2018-11-18304Spiders5Caroline1WSommaire du Match
50 - 2018-11-21319Rocket2Spiders3WXXSommaire du Match
52 - 2018-11-23336Sound Tigers3Spiders6WSommaire du Match
54 - 2018-11-25359Spiders7Thunder3WSommaire du Match
55 - 2018-11-26363Spiders4Cabaret Lady Mary Ann3WXSommaire du Match
59 - 2018-11-30391Spiders3Bears5LSommaire du Match
60 - 2018-12-01401Oceanics0Spiders4WSommaire du Match
62 - 2018-12-03413Thunder2Spiders5WSommaire du Match
65 - 2018-12-06439Spiders6Monarchs5WXSommaire du Match
68 - 2018-12-09458Spiders3Admirals6LSommaire du Match
69 - 2018-12-10464Spiders7Sharks4WSommaire du Match
73 - 2018-12-14487Las Vegas5Spiders3LSommaire du Match
74 - 2018-12-15502Spiders6Chill0WSommaire du Match
77 - 2018-12-18518Marlies6Spiders4LSommaire du Match
79 - 2018-12-20535Spiders5Monsters2WSommaire du Match
80 - 2018-12-21542Senators5Spiders4LSommaire du Match
82 - 2018-12-23559Monsters3Spiders4WXXSommaire du Match
86 - 2018-12-27567Spiders5Bruins4WSommaire du Match
88 - 2018-12-29583Caroline4Spiders8WSommaire du Match
90 - 2018-12-31600Comets3Spiders4WSommaire du Match
92 - 2019-01-02618Spiders5Stars1WSommaire du Match
94 - 2019-01-04634Spiders1Jayhawks4LSommaire du Match
96 - 2019-01-06646Spiders1Las Vegas3LSommaire du Match
98 - 2019-01-08658Spiders5Crunch3WSommaire du Match
100 - 2019-01-10672Marlies2Spiders5WSommaire du Match
102 - 2019-01-12687Phantoms2Spiders5WSommaire du Match
104 - 2019-01-14707Baby Hawks3Spiders1LSommaire du Match
105 - 2019-01-15713Spiders3Monsters4LSommaire du Match
107 - 2019-01-17727Spiders4Sound Tigers2WSommaire du Match
109 - 2019-01-19740Admirals1Spiders4WSommaire du Match
118 - 2019-01-28772Spiders6Manchots2WSommaire du Match
121 - 2019-01-31779Wolf Pack3Spiders7WSommaire du Match
123 - 2019-02-02790Spiders2Rocket3LXSommaire du Match
126 - 2019-02-05812Monarchs2Spiders8WSommaire du Match
128 - 2019-02-07825Sound Tigers2Spiders6WSommaire du Match
130 - 2019-02-09840Minnesota3Spiders8WSommaire du Match
131 - 2019-02-10856Caroline3Spiders7WSommaire du Match
133 - 2019-02-12869Spiders2Chiefs8LSommaire du Match
135 - 2019-02-14883Spiders3Baby Hawks4LSommaire du Match
136 - 2019-02-15890Spiders3Minnesota2WSommaire du Match
138 - 2019-02-17906Crunch5Spiders6WXSommaire du Match
140 - 2019-02-19917Manchots3Spiders4WSommaire du Match
142 - 2019-02-21931Senators3Spiders5WSommaire du Match
144 - 2019-02-23946Spiders8Wolf Pack5WSommaire du Match
146 - 2019-02-25963Rocket2Spiders7WSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
148 - 2019-02-27980Heat4Spiders5WXXSommaire du Match
150 - 2019-03-01992Phantoms2Spiders3WSommaire du Match
151 - 2019-03-021001Spiders5Bruins4WXSommaire du Match
154 - 2019-03-051020Monsters3Spiders5WSommaire du Match
157 - 2019-03-081045Spiders5Bears6LSommaire du Match
158 - 2019-03-091054Spiders5Wolf Pack4WXSommaire du Match
161 - 2019-03-121078Spiders4Heat2WSommaire du Match
162 - 2019-03-131081Spiders2Oil Kings3LXXSommaire du Match
164 - 2019-03-151098Spiders4Comets5LXSommaire du Match
166 - 2019-03-171111Spiders6Monsters5WXXSommaire du Match
168 - 2019-03-191122Bears5Spiders7WSommaire du Match
170 - 2019-03-211137Bruins1Spiders4WSommaire du Match
172 - 2019-03-231150Jayhawks4Spiders3LSommaire du Match
174 - 2019-03-251170Crunch4Spiders3LSommaire du Match
178 - 2019-03-291199Spiders4Cougars5LXXSommaire du Match
179 - 2019-03-301208Chiefs3Spiders2LSommaire du Match
181 - 2019-04-011222Wolf Pack2Spiders4WSommaire du Match
184 - 2019-04-041247Spiders3Caroline2WXSommaire du Match
186 - 2019-04-061262Spiders9Cabaret Lady Mary Ann4WSommaire du Match



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3015
Assistance61,45530,891
Assistance PCT74.95%75.34%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 2252 - 75.08% 56,269$2,307,015$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
3,012,812$ 2,935,000$ 2,919,500$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
15,695$ 3,012,812$ 39 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 0 15,695$ 0$




LigueDomicileVisiteur
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
2018824423062433702799141251201030195134614119110521317514530113370618988021581228016289395196794464239767684015963447321.22%3377378.34%31447268253.95%1313238255.12%793148353.47%2033140418486061084554
Total Saison Régulière824423062433702799141251201030195134614119110521317514530113370618988021581228016289395196794464239767684015963447321.22%3377378.34%31447268253.95%1313238255.12%793148353.47%2033140418486061084554