Connexion

Spiders
GP: 82 | W: 49 | L: 27 | OTL: 6 | P: 104
GF: 329 | GA: 284 | PP%: 19.17% | PK%: 77.01%
DG: Simon Bouchard | Morale : 50 | Moyenne d’équipe : 57
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Centre de jeu
Crunch
31-46-5, 67pts
4
FINAL
5 Spiders
49-27-6, 104pts
Team Stats
L1StreakL1
19-21-1Home Record28-10-3
12-25-4Away Record21-17-3
2-7-1Last 10 Games8-2-0
3.13Goals Per Game4.01
3.89Goals Against Per Game3.46
20.26%Power Play Percentage19.17%
73.62%Penalty Kill Percentage77.01%
Spiders
49-27-6, 104pts
2
FINAL
4 Sound Tigers
39-36-7, 85pts
Team Stats
L1StreakW2
28-10-3Home Record22-17-2
21-17-3Away Record17-19-5
8-2-0Last 10 Games4-5-1
4.01Goals Per Game3.78
3.46Goals Against Per Game3.96
19.17%Power Play Percentage24.41%
77.01%Penalty Kill Percentage74.89%
Meneurs d'équipe
Buts
Leo Komarov
22
Passes
Nikolai Knyzhov
33
Points
Leo Komarov
53
Plus/Moins
Brett Connolly
10
Victoires
Charlie Lindgren
20
Pourcentage d’arrêts
Dustin Tokarski
0.918

Statistiques d’équipe
Buts pour
329
4.01 GFG
Tirs pour
3370
41.10 Avg
Pourcentage en avantage numérique
19.2%
46 GF
Début de zone offensive
42.2%
Buts contre
284
3.46 GAA
Tirs contre
2945
35.91 Avg
Pourcentage en désavantage numérique
77.0%
63 GA
Début de la zone défensive
38.2%
Information d’équipe

Directeur généralSimon Bouchard
DivisionNord-Est
ConférenceEst
Capitaine
Assistant #1Jan Rutta
Assistant #2Josh Leivo


Informations de l’aréna

Capacité3,000
Assistance2,656
Billets de saison300


Information formation

Équipe Pro25
Équipe Mineure20
Limite contact 45 / 50
Espoirs15


Historique d'équipe

Saison actuelle49-27-6 (104PTS)
Historique49-27-9 (0.576%)
Apparitions séries éliminatoires
Historique séries éliminatoires (W-L)-


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
1Peter AbbandonatoX100.00867699656966616683656372544444050620224560,000$
2Josh Leivo (A)XX100.00734391717257646333587056636363050610271750,000$
3Logan O'ConnorX100.00784391646457626444596682254748050610244925,000$
4Martin FrkXX100.00757576747559586650606766644949050610274700,000$
5Drew O'Connor (R)X100.00674393707652586844605574254444050600222600,000$
6Josh CurrieXX100.00656273656264646780636761644646050600273725,000$
7Chase PearsonX100.00817595607566676379626067574444050600232600,000$
8Jake LeschyshynX100.00777680696978765772515965514444050590213778,333$
9Bryce Kindopp (R)X100.00776996646973776050536265594444050590211600,000$
10Martin KautX100.00706777736760606450626162584545050590212894,167$
11Rhett GardnerXX100.00844690688355715853545665254747050590241650,000$
12Riley TufteX100.00949882618972705455525173444444050590221895,000$
13Egor Korshkov (R)X100.00717184657154545649476263604444050560241825,000$
14Connor CarrickX100.00754386776976556025485078256565050650261750,000$
15Jan Rutta (A)X100.00734482777669615825574770256061050630301580,000$
16Calle RosenX100.00726978706959615625455164485656050590261925,000$
17Madison BoweyX100.008173997773505343252839663757570505802511,750,000$
18Mitch ReinkeX100.007566966366565756255443634144440505702431,200,000$
Rayé
1Alexey Toropchenko (R)X100.00767687617666724549414463434444050530213775,002$
2Oskari Laaksonen (R)X100.00726492616460625425534161394444050560213853,333$
3Mark FriedmanX100.00814472646756545525496256254545050550243850,000$
4Alfons Malmstrom (R)X100.00344040406233333440343440373230050380221650,000$
MOYENNE D’ÉQUIPE100.0074628566716161584653556544484805058
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
1Charlie Lindgren100.0051466769474959605253304646050530
2Eetu Makiniemi (R)100.0044656167443939433942415454050480
Rayé
1Dylan Wells100.0043445470464647494445284444050480
MOYENNE D’ÉQUIPE100.004652616946454851454733484805050
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
1Logan O'ConnorSpiders (Har)RW82593897383009514542910529013.75%27154118.8013720891881014799237.23%9400041.2613000777
2Peter AbbandonatoSpiders (Har)C823253853541151062113027321410.60%30153718.75414185920400061217161.72%204000201.11261021220
3Martin FrkSpiders (Har)LW/RW803250823049513013231110624210.29%11143617.95178421610001223340.83%12000011.1411010651
4Connor CarrickSpiders (Har)D7716526814240121100164651219.76%132185224.068614691970111207100.00%000100.73000003110
5Jan RuttaSpiders (Har)D82652582954013491132441014.55%127180722.0411011571960221201100.00%000000.6400000122
6Josh LeivoSpiders (Har)LW/RW82253257361605776251661739.96%13125515.311239431013765046.53%10100000.9111000135
7Leo KomarovHartfordLW/RW69223153-452016687229731569.61%12132919.2737103416700001452045.39%14100100.8015000244
8Chase PearsonSpiders (Har)C71133548-6271582155214521446.07%22122917.3245938151000042060.01%157800000.7800101210
9Jake LeschyshynSpiders (Har)C82182745263201041701553613011.61%23114213.940000610121413053.78%134800010.7900000202
10Martin KautSpiders (Har)RW821727441220071117195521438.72%11108113.19000270111591061.97%7100010.8101000223
11Nikolai KnyzhovHartfordD4153338443597708224426.10%6798824.111783092000095110.00%000000.7700001101
12Brett ConnollyHartfordLW/RW45102535100049121149461116.71%14103923.101451711700021172039.94%32300010.6714000134
13Mitch ReinkeSpiders (Har)D827273419220815158183512.07%103137716.801231247000184200.00%000000.4900000030
14Drew O'ConnorSpiders (Har)LW731418328402064158401188.86%196458.850225220001291042.31%5200000.9900000001
15Josh CurrieSpiders (Har)C/RW361019293603772118371058.47%662917.4827920850000110359.62%46800000.9202000121
16Calle RosenSpiders (Har)D82101727265601364183285312.05%107166920.36134321810001176320.00%000000.3200000022
17Rhett GardnerSpiders (Har)C/LW8291726-5180937510324628.74%126698.17000110000450048.61%68300000.7800000011
18Anders BjorkHartfordLW/RW2161521410039549624726.25%1149123.4132511510002591138.76%17800000.8512000111
19Mark FriedmanSpiders (Har)D715162118580181205522349.09%71121717.15101845000072010.00%000000.3400000012
20Madison BoweySpiders (Har)D2342662404110226818.18%3044619.43101541000048200.00%000000.2700000101
21Riley TufteSpiders (Har)LW2006612352816283160.00%1421310.6800001000000075.00%800000.5600010001
22Bryce KindoppSpiders (Har)RW9224100971961010.53%411612.9500002000010016.67%600000.6900000000
23Egor KorshkovSpiders (Har)RW8303-30010144721.43%0496.2100000000000050.00%400001.2100000010
24Evan RodriguesHartfordC/LW/RW1000000006350.00%02424.0200003000020033.33%300000.0000000000
25Niko MikkolaHartfordD2000120319310.00%44422.040003300006000.00%000000.0000000000
26Oskari LaaksonenSpiders (Har)D3000000230110.00%24916.630000200001000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne13883255949193036114518831889338296123949.61%8722388817.2146851315432025347261814461455.57%721800480.77825224434149
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
1Charlie LindgrenSpiders (Har)3520930.9113.3120494011312690100.55693237101
2Dustin TokarskiHartford34201030.9182.931925429411460020.72218318251
3Dylan WellsSpiders (Har)96300.8993.2451800282780110.0000925000
4Eetu MakiniemiSpiders (Har)123500.8604.6757800453220000.00001047100
Statistiques d’équipe totales ou en moyenne90492760.9073.3150728228030150230.6672782117452


Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du joueur Nom de l’équipePOS Âge Date de naissance Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé Contrat Type Salaire actuel Salaire 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 10Link
Alexey ToropchenkoSpiders (Har)RW211999-06-25Yes201 Lbs6 ft3NoNoNo3Pro & Farm775,002$77,500$0$No775,002$775,002$Lien
Alfons MalmstromSpiders (Har)D221998-06-12Yes190 Lbs6 ft2NoNoNo1Pro & Farm650,000$65,000$0$NoLien
Bryce KindoppSpiders (Har)RW211999-06-14Yes185 Lbs6 ft1YesNoNo1Pro & Farm600,000$60,000$0$NoLien
Calle RosenSpiders (Har)D261994-02-01No186 Lbs6 ft1NoNoNo1Pro & Farm925,000$92,500$0$NoLien
Charlie LindgrenSpiders (Har)G261993-12-17No182 Lbs6 ft1NoNoNo2Pro & Farm785,000$78,500$0$No785,000$Lien
Chase PearsonSpiders (Har)C231997-08-22No200 Lbs6 ft2YesNoNo2Pro & Farm600,000$60,000$0$No600,000$Lien
Connor CarrickSpiders (Har)D261994-04-13No192 Lbs5 ft11YesNoNo1Pro & Farm750,000$75,000$0$NoLien
Drew O'ConnorSpiders (Har)LW221998-06-09Yes200 Lbs6 ft3YesNoNo2Pro & Farm600,000$60,000$0$No600,000$Lien
Dylan WellsSpiders (Har)G221998-01-03No185 Lbs6 ft1NoNoNo1Pro & Farm742,500$74,250$0$NoLien
Eetu MakiniemiSpiders (Har)G211999-04-19Yes176 Lbs6 ft3NoNoNo3Pro & Farm525,000$52,500$0$No525,000$525,000$Lien
Egor KorshkovSpiders (Har)RW241996-07-10Yes181 Lbs6 ft4NoNoNo1Pro & Farm825,000$82,500$0$NoLien
Jake LeschyshynSpiders (Har)C211999-03-10No190 Lbs5 ft11NoNoNo3Pro & Farm778,333$77,833$0$No778,333$778,333$Lien
Jan RuttaSpiders (Har)D301990-07-29No204 Lbs6 ft3YesNoNo1Pro & Farm580,000$58,000$0$NoLien
Josh CurrieSpiders (Har)C/RW271992-10-29No172 Lbs5 ft10NoNoNo3Pro & Farm725,000$72,500$0$No725,000$725,000$Lien
Josh LeivoSpiders (Har)LW/RW271993-05-26No192 Lbs6 ft2NoNoNo1Pro & Farm750,000$75,000$0$NoLien
Logan O'ConnorSpiders (Har)RW241996-08-14No174 Lbs6 ft0NoNoNo4Pro & Farm925,000$92,500$0$No925,000$925,000$925,000$Lien
Madison BoweySpiders (Har)D251995-04-22No198 Lbs6 ft2NoNoNo1Pro & Farm1,750,000$175,000$0$NoLien
Mark FriedmanSpiders (Har)D241995-12-25No185 Lbs5 ft11NoNoNo3Pro & Farm850,000$85,000$0$No850,000$850,000$Lien
Martin FrkSpiders (Har)LW/RW271993-10-04No205 Lbs6 ft1NoNoNo4Pro & Farm700,000$70,000$0$No700,000$700,000$700,000$Lien
Martin KautSpiders (Har)RW211999-10-02No176 Lbs6 ft2NoNoNo2Pro & Farm894,167$89,417$0$No894,167$Lien
Mitch ReinkeSpiders (Har)D241996-02-04No181 Lbs5 ft11NoNoNo3Pro & Farm1,200,000$120,000$0$No1,200,000$1,200,000$Lien
Oskari LaaksonenSpiders (Har)D211999-07-02Yes165 Lbs6 ft2NoNoNo3Pro & Farm853,333$85,333$0$No853,333$853,333$Lien
Peter AbbandonatoSpiders (Har)C221998-03-25No194 Lbs5 ft11NoNoNo4Pro & Farm560,000$56,000$0$No560,000$560,000$560,000$Lien
Rhett GardnerSpiders (Har)C/LW241996-02-28No225 Lbs6 ft3NoNoNo1Pro & Farm650,000$65,000$0$NoLien
Riley TufteSpiders (Har)LW221998-04-10No235 Lbs6 ft6NoNoNo1Pro & Farm895,000$89,500$0$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2523.72191 Lbs6 ft12.08795,533$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Drew O'ConnorPeter AbbandonatoMartin Frk40122
2Josh LeivoJosh CurrieLogan O'Connor30122
3Martin KautChase PearsonBryce Kindopp20122
4Riley TufteRhett GardnerEgor Korshkov10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor CarrickJan Rutta40122
2Calle RosenMadison Bowey30122
3Mitch ReinkeRhett Gardner20122
4Connor CarrickJan Rutta10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Martin FrkPeter AbbandonatoLogan O'Connor60122
2Josh LeivoJosh CurrieDrew O'Connor40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor CarrickJan Rutta60122
2Calle RosenMadison Bowey40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rhett GardnerPeter Abbandonato60122
2Martin FrkLogan O'Connor40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor CarrickJan Rutta60122
2Calle RosenMadison Bowey40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rhett Gardner60122Connor CarrickJan Rutta60122
2Peter Abbandonato40122Calle RosenMadison Bowey40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Peter AbbandonatoJosh Leivo60122
2Martin FrkLogan O'Connor40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Connor CarrickJan Rutta60122
2Calle RosenMadison Bowey40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Martin FrkPeter AbbandonatoLogan O'ConnorConnor CarrickJan Rutta
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Riley TuftePeter AbbandonatoMartin FrkConnor CarrickJan Rutta
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Leschyshyn, Chase Pearson, Drew O'ConnorJake Leschyshyn, Chase PearsonDrew O'Connor
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mitch Reinke, Calle Rosen, Madison BoweyMitch ReinkeCalle Rosen, Madison Bowey
Tirs de pénalité
Josh Currie, Peter Abbandonato, Martin Frk, Logan O'Connor, Josh Leivo
Gardien
#1 : Charlie Lindgren, #2 : Eetu Makiniemi


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
1Admirals2020000028-61010000012-11010000016-500.000246001381057813691127114910536773242036800.00%9277.78%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
2Baby Hawks20101000660100010005411010000012-120.500611170013810578136311271149105367651112475120.00%6350.00%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
3Bears413000001219-720200000610-42110000069-320.250122335001381057813149112711491053671425933799222.22%13376.92%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
4Bruins3120000039-62020000018-71100000021120.333358001381057813981127114910536794311269900.00%5260.00%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
5Cabaret Lady Mary Ann32000001171432200000012841000000156-150.8331731480013810578131471127114910536710134146412216.67%7185.71%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
6Caroline411011001416-2200011007702110000079-250.625142842001381057813162112711491053671503828857228.57%13561.54%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
7Chiefs21000001752110000004131000000134-130.750714210013810578139311271149105367562112359111.11%6183.33%11738305656.87%1493276354.04%787142355.31%2078145718165831074556
8Chill21100000660110000004221010000024-220.50061016001381057813691127114910536771166457114.29%3166.67%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
9Comets220000001257110000004131100000084441.0001224360013810578137411271149105367652916423266.67%8187.50%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
10Cougars3210000016972200000013581010000034-140.667162945001381057813125112711491053671213324609222.22%12283.33%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
11Crunch311010001495100010005412110000095440.667142640001381057813178112711491053671043820817228.57%10280.00%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
12Heat22000000945110000005231100000042241.000915240013810578136811271149105367801720546233.33%9188.89%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
13Jayhawks21100000770110000005321010000024-220.500713201013810578137311271149105367932124396116.67%11372.73%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
14Las Vegas2100001013103100000108711100000053241.00013203300138105781311511271149105367962110497114.29%5260.00%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
15Manchots4300001017982200000011652100001063381.0001728450013810578131591127114910536714041327110330.00%16381.25%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
16Marlies30200001713-61000000123-120200000510-510.1677121900138105781311811271149105367952536761317.69%13284.62%11738305656.87%1493276354.04%787142355.31%2078145718165831074556
17Minnesota22000000862110000004311100000043141.0008132100138105781310511271149105367653016475240.00%7185.71%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
18Monarchs211000009811010000023-11100000075220.5009182700138105781381112711491053679720265810330.00%13284.62%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
19Monsters42100001171432200000010552010000179-250.62517335000138105781315711271149105367143342710913538.46%11372.73%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
20Monsters2020000059-41010000024-21010000035-200.0005101520138105781379112711491053676617462800.00%2150.00%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
21Oceanics210000101284100000104311100000085341.00012213300138105781364112711491053679537215510220.00%7357.14%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
22Oil Kings22000000716110000002111100000050541.0007101701138105781376112711491053675311847200.00%40100.00%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
23Phantoms42101000181802110000069-321001000129360.7501834520013810578131431127114910536716652569312216.67%15753.33%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
24Rocket31200000914-51010000014-321100000810-220.333917260013810578131141127114910536710636207313323.08%9277.78%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
25Senators32100000181261010000056-122000000136740.66718294700138105781313311271149105367973124778225.00%12283.33%11738305656.87%1493276354.04%787142355.31%2078145718165831074556
26Sharks2110000057-2110000004311010000014-320.5005914001381057813721127114910536769211037300.00%5260.00%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
27Sound Tigers42200000151142200000011472020000047-340.500152641001381057813159112711491053671393726801417.14%13376.92%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
28Stars21100000990110000006421010000035-220.500917260013810578138511271149105367652412394125.00%6266.67%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
29Thunder320010001578220000009271000100065161.00015294401138105781316511271149105367117321879300.00%9188.89%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
30Wolf Pack43000100201192100010096322000000115670.875203757001381057813177112711491053671213130938225.00%150100.00%01738305656.87%1493276354.04%787142355.31%2078145718165831074556
Total824127052343292844541231003221168130384118170201316115471040.634329596925321381057813337011271149105367294587261718812404619.17%2746377.01%31738305656.87%1493276354.04%787142355.31%2078145718165831074556
_Since Last GM Reset824127052343292844541231003221168130384118170201316115471040.634329596925321381057813337011271149105367294587261718812404619.17%2746377.01%31738305656.87%1493276354.04%787142355.31%2078145718165831074556
_Vs Conference46221702122176160162312800111857213231090201191883550.598176318494011381057813181311271149105367165949137710571372417.52%1593677.36%21738305656.87%1493276354.04%787142355.31%2078145718165831074556
_Vs Division289401101113981514610010060471314330100153512220.3931132093220013810578131106112711491053671001292232610731723.29%962475.00%01738305656.87%1493276354.04%787142355.31%2078145718165831074556

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
82104L132959692533702945872617188132
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8241275234329284
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4123103221168130
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4118172013161154
Derniers 10 matchs
WLOTWOTL SOWSOL
820000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2404619.17%2746377.01%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
112711491053671381057813
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
1738305656.87%1493276354.04%787142355.31%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
2078145718165831074556


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 - 2021-10-1414Oceanics3Spiders4WXXSommaire du match
4 - 2021-10-1518Spiders8Crunch3WSommaire du match
8 - 2021-10-1945Spiders7Phantoms5WSommaire du match
9 - 2021-10-2049Oil Kings1Spiders2WSommaire du match
11 - 2021-10-2265Spiders2Bruins1WSommaire du match
13 - 2021-10-2480Cabaret Lady Mary Ann5Spiders6WSommaire du match
16 - 2021-10-27100Wolf Pack4Spiders3LXSommaire du match
18 - 2021-10-29113Comets1Spiders4WSommaire du match
24 - 2021-11-04157Jayhawks3Spiders5WSommaire du match
29 - 2021-11-09188Thunder0Spiders4WSommaire du match
31 - 2021-11-11196Phantoms6Spiders1LSommaire du match
32 - 2021-11-12211Spiders5Caroline4WSommaire du match
35 - 2021-11-15229Spiders8Oceanics5WSommaire du match
37 - 2021-11-17245Spiders4Heat2WSommaire du match
38 - 2021-11-18251Spiders5Oil Kings0WSommaire du match
40 - 2021-11-20265Spiders8Comets4WSommaire du match
43 - 2021-11-23281Senators6Spiders5LSommaire du match
45 - 2021-11-25295Manchots3Spiders5WSommaire du match
46 - 2021-11-26305Spiders2Rocket7LSommaire du match
49 - 2021-11-29320Bruins5Spiders0LSommaire du match
52 - 2021-12-02346Spiders2Manchots1WXXSommaire du match
53 - 2021-12-03356Cougars3Spiders6WSommaire du match
56 - 2021-12-06375Minnesota3Spiders4WSommaire du match
58 - 2021-12-08390Spiders6Rocket3WSommaire du match
60 - 2021-12-10403Wolf Pack2Spiders6WSommaire du match
62 - 2021-12-12419Spiders1Crunch2LSommaire du match
63 - 2021-12-13427Las Vegas7Spiders8WXXSommaire du match
66 - 2021-12-16447Baby Hawks4Spiders5WXSommaire du match
67 - 2021-12-17460Spiders2Chill4LSommaire du match
70 - 2021-12-20478Spiders3Stars5LSommaire du match
73 - 2021-12-23500Spiders3Monsters5LSommaire du match
74 - 2021-12-24512Spiders2Jayhawks4LSommaire du match
78 - 2021-12-28535Admirals2Spiders1LSommaire du match
80 - 2021-12-30549Bears5Spiders2LSommaire du match
81 - 2021-12-31561Spiders2Monsters3LXXSommaire du match
83 - 2022-01-02578Spiders1Baby Hawks2LSommaire du match
87 - 2022-01-06583Marlies3Spiders2LXXSommaire du match
89 - 2022-01-08603Spiders9Senators5WSommaire du match
91 - 2022-01-10613Bruins3Spiders1LSommaire du match
93 - 2022-01-12630Spiders2Sound Tigers3LSommaire du match
95 - 2022-01-14649Monsters4Spiders2LSommaire du match
98 - 2022-01-17665Sound Tigers1Spiders4WSommaire du match
100 - 2022-01-19682Spiders5Wolf Pack1WSommaire du match
102 - 2022-01-21696Spiders1Bears6LSommaire du match
103 - 2022-01-22708Thunder2Spiders5WSommaire du match
105 - 2022-01-24715Spiders2Marlies6LSommaire du match
107 - 2022-01-26732Spiders5Bears3WSommaire du match
109 - 2022-01-28751Spiders5Monsters6LSommaire du match
118 - 2022-02-06769Spiders4Senators1WSommaire du match
121 - 2022-02-09783Chill2Spiders4WSommaire du match
123 - 2022-02-11798Stars4Spiders6WSommaire du match
126 - 2022-02-14815Rocket4Spiders1LSommaire du match
128 - 2022-02-16832Spiders5Phantoms4WXSommaire du match
130 - 2022-02-18849Monarchs3Spiders2LSommaire du match
133 - 2022-02-21868Cabaret Lady Mary Ann3Spiders6WSommaire du match
135 - 2022-02-23884Cougars2Spiders7WSommaire du match
136 - 2022-02-24894Spiders2Caroline5LSommaire du match
138 - 2022-02-26912Monsters2Spiders5WSommaire du match
140 - 2022-02-28924Spiders3Chiefs4LXXSommaire du match
142 - 2022-03-02934Sharks3Spiders4WSommaire du match
144 - 2022-03-04948Bears5Spiders4LSommaire du match
147 - 2022-03-07975Spiders3Cougars4LSommaire du match
149 - 2022-03-09993Spiders1Sharks4LSommaire du match
151 - 2022-03-111000Spiders7Monarchs5WSommaire du match
152 - 2022-03-121015Spiders1Admirals6LSommaire du match
154 - 2022-03-141027Spiders5Las Vegas3WSommaire du match
157 - 2022-03-171043Chiefs1Spiders4WSommaire du match
158 - 2022-03-181056Spiders6Wolf Pack4WSommaire du match
161 - 2022-03-211072Manchots3Spiders6WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
163 - 2022-03-231086Caroline4Spiders3LXSommaire du match
165 - 2022-03-251102Spiders5Cabaret Lady Mary Ann6LXXSommaire du match
166 - 2022-03-261114Spiders6Thunder5WXSommaire du match
168 - 2022-03-281123Spiders3Marlies4LSommaire du match
170 - 2022-03-301139Heat2Spiders5WSommaire du match
172 - 2022-04-011157Sound Tigers3Spiders7WSommaire du match
174 - 2022-04-031171Monsters3Spiders5WSommaire du match
177 - 2022-04-061198Spiders4Minnesota3WSommaire du match
179 - 2022-04-081206Phantoms3Spiders5WSommaire du match
180 - 2022-04-091219Caroline3Spiders4WXSommaire du match
182 - 2022-04-111230Spiders4Manchots2WSommaire du match
184 - 2022-04-131244Crunch4Spiders5WXSommaire du match
186 - 2022-04-151266Spiders2Sound Tigers4LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3518
Assistance78,68730,200
Assistance PCT95.96%73.66%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 2656 - 88.53% 80,430$3,297,645$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
2,214,406$ 1,988,833$ 1,988,833$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,635$ 2,214,406$ 25 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 10,635$ 0$




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