Connexion

Monsters
GP: 4 | W: 1 | L: 3
GF: 5 | GA: 8 | PP%: 0.00% | PK%: 81.82%
DG: Benoit Toupin | Morale : 50 | Moyenne d’équipe : 61
Prochains matchs #34 vs Spiders
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Centre de jeu
Monsters
1-3-0, 2pts
1
FINAL
2 Spiders
3-1-0, 6pts
Team Stats
OTL1SéquenceW2
1-1-0Fiche domicile2-0-0
0-2-0Fiche domicile1-1-0
1-2-1Derniers 10 matchs3-0-1
1.25Buts par match 2.00
2.00Buts contre par match 1.25
0.00%Pourcentage en avantage numérique18.18%
81.82%Pourcentage en désavantage numérique100.00%
Monsters
1-3-0, 2pts
2
FINAL
3 Spiders
3-1-0, 6pts
Team Stats
OTL1SéquenceW2
1-1-0Fiche domicile2-0-0
0-2-0Fiche domicile1-1-0
1-2-1Derniers 10 matchs3-0-1
1.25Buts par match 2.00
2.00Buts contre par match 1.25
0.00%Pourcentage en avantage numérique18.18%
81.82%Pourcentage en désavantage numérique100.00%
Spiders
3-1-0, 6pts
2024-04-28
Monsters
1-3-0, 2pts
Statistiques d’équipe
W2SéquenceOTL1
2-0-0Fiche domicile1-1-0
1-1-0Fiche visiteur0-2-0
3-0-110 derniers matchs1-2-1
2.00Buts par match 1.25
1.25Buts contre par match 1.25
18.18%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique81.82%
Monsters
1-3-0, 2pts
2024-04-30
Spiders
3-1-0, 6pts
Statistiques d’équipe
OTL1SéquenceW2
1-1-0Fiche domicile2-0-0
0-2-0Fiche visiteur1-1-0
1-2-110 derniers matchs3-0-1
1.25Buts par match 2.00
2.00Buts contre par match 2.00
0.00%Pourcentage en avantage numérique18.18%
81.82%Pourcentage en désavantage numérique100.00%
Spiders
3-1-0, 6pts
2024-05-02
Monsters
1-3-0, 2pts
Statistiques d’équipe
W2SéquenceOTL1
2-0-0Fiche domicile1-1-0
1-1-0Fiche visiteur0-2-0
3-0-110 derniers matchs1-2-1
2.00Buts par match 1.25
1.25Buts contre par match 1.25
18.18%Pourcentage en avantage numérique0.00%
100.00%Pourcentage en désavantage numérique81.82%
Meneurs d'équipe
Buts
Luke Philp
2
Passes
Connor Mackey
2
Points
Connor Mackey
3
Plus/Moins
Connor Mackey
2
Victoires
Mads Sogaard
1
Pourcentage d’arrêts
Mads Sogaard
0.875

Statistiques d’équipe
Buts pour
5
1.25 GFG
Tirs pour
82
20.50 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
41.8%
Buts contre
8
2.00 GAA
Tirs contre
64
16.00 Avg
Pourcentage en désavantage numérique
81.8%%
2 GA
Début de la zone défensive
38.0%
Informations de l'équipe

Directeur généralBenoit Toupin
DivisionNord-Est
ConférenceEst
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,991
Billets de saison300


Informations de la formation

Équipe Pro27
Équipe Mineure20
Limite contact 47 / 50
Espoirs19


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
1Wayne SimmondsXX100.00797057727476846840656265689080050680343750,000$
2Laurent DauphinX100.00664376737582786877626267687969050680273888,888$
3Loui ErikssonXX100.0055419573735961595362527624868605065N0381750,000$
4Luke PhilpX100.00614870725967676544636367675550050630262900,000$
5Benoit-Olivier Groulx (R)X100.00564962646562626458605951625150050590222822,500$
6Cole Fonstad (R)X100.00554071675863646242605953625150050590223700,000$
7Matt Rempe (R)X100.00666457606960605940545559585050050580203820,000$
8Brandon Coe (R)X100.00574070616461615941575453585050050570202650,000$
9Chad Yetman (R)X100.00584068636159585440545354575150050560222560,000$
10Dominik Bokk (R)XX100.00716989666948494849464361434444050540222863,333$
11Kasper BjorkqvistXX100.00717282637253554849405061494444050540252800,000$
12Tim SoderlundXX100.00686496635849454953474162394444050530241825,834$
13Gustav LindstromX100.00654775747984757040696266696454050690231775,833$
14Connor MackeyX100.00687356747779686840646270685852050670262925,000$
15Jake Christiansen (R)X100.00614477737679666840646166675650050660231925,000$
16Matt KierstedX100.00574770747276656640626066675852050650242930,000$
17Ronald AttardX100.00654768717470636740626269675250050650233883,750$
18Chase PriskieX100.00564469716167666440586063655550050620261675,000$
Rayé
1Adam Ginning (R)X100.00674462686562626240605667625150050620222825,000$
2Vincent Iorio (R)X100.00664071686457576240625467625050050620193845,000$
3Lukas Cormier (R)X100.00564065696160616540626062655050050610203793,333$
4Wyatte Wylie (R)X100.00604871696463626140555461615150050600222820,833$
5Drew Helleson (R)X100.00584861646561606040565455605050050580213925,000$
6Daniil Chayka (R)X100.00584071626457575940545454595050050570193847,500$
MOYENNE D’ÉQUIPE100.0063507168676563614458566259565305061
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
1Mads Sogaard (R)100.0076717182747473757474735651050680211925,000$
2Jakub Skarek (R)100.0069636768686870676968575150050620222764,167$
Rayé
1Ken Appleby (R)100.006258547161575653575958575105055N0272750,000$
MOYENNE D’ÉQUIPE100.006964647468666665676763555105062
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
1Connor MackeyMonsters (Clb)D41232407491311.11%39724.3900051400006010%000000.6200000000
2Cole FonstadMonsters (Clb)LW4022-100445040%07017.67000014000030037.50%800000.5700000000
3Laurent DauphinMonsters (Clb)C402200009110100%08922.430004140000100055.24%10500000.4500000100
4Luke PhilpMonsters (Clb)C4202-100681121418.18%07117.85000114000040027.27%6600000.5600000000
5Gustav LindstromMonsters (Clb)D4011220975100%59824.7000011400008000%000000.2000000000
6Benoit-Olivier GroulxMonsters (Clb)C4011020472020%05614.1800001000010051.11%4500000.3500000000
7Chad YetmanMonsters (Clb)RW41010001140325.00%05714.4000000000030040.00%500000.3500000000
8Chase PriskieMonsters (Clb)D4011000120010%26716.770000100004000%000000.3000000000
9Loui ErikssonMonsters (Clb)LW/RW41010000474914.29%18320.88000214000041037.50%800000.2400000010
10Wayne SimmondsMonsters (Clb)LW/RW40110001376470%08922.27000214000090025.00%400000.2200000001
11Brandon CoeMonsters (Clb)RW4000-100514110%16716.96000014000000033.33%30000000000000
12Tim SoderlundMonsters (Clb)LW/RW4000020211110%1328.180000000000000%00000000000000
13Dominik BokkMonsters (Clb)LW/RW4000040533000%15313.3100000000000050.00%20000000000000
14Kasper BjorkqvistMonsters (Clb)LW/RW4000000102120%0328.120000000000000%00000000000000
15Jake ChristiansenMonsters (Clb)D4000-300445230%58721.86000413000010000%00000000000000
16Matt KierstedMonsters (Clb)D4000-3401064040%18521.4300031300007000%00000000000000
17Ronald AttardMonsters (Clb)D4000020962010%26416.160000100000000%00000000000000
18Matt RempeMonsters (Clb)C4000000321030%0328.2200000000000047.06%170000000000000
Statistiques d’équipe totales ou en moyenne7251015-520084768217686.10%22123917.21000221460000771144.87%26300000.2400000111
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
1Mads SogaardMonsters (Clb)41210.8751.92250208640000040000
Statistiques d’équipe totales ou en moyenne41210.8751.9225020864000040000


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
Adam GinningMonsters (Clb)D222000-01-13Yes196 Lbs6 ft3NoNoNoNo2Pro & Farm825,000$412,500$0$0$No825,000$Lien
Benoit-Olivier GroulxMonsters (Clb)C222000-02-06Yes194 Lbs6 ft2NoNoNoNo2Pro & Farm822,500$411,250$0$0$No822,500$Lien
Brandon CoeMonsters (Clb)RW202001-12-01Yes187 Lbs6 ft4NoNoNoNo2Pro & Farm650,000$325,000$0$0$No650,000$Lien
Chad YetmanMonsters (Clb)RW222000-02-18Yes179 Lbs5 ft11NoNoNoNo2Pro & Farm560,000$280,000$0$0$No560,000$Lien
Chase PriskieMonsters (Clb)D261996-03-19No185 Lbs6 ft0NoNoYesNo1Pro & Farm675,000$337,500$0$0$NoLien
Cole FonstadMonsters (Clb)LW222000-04-24Yes170 Lbs5 ft10NoNoNoNo3Pro & Farm700,000$350,000$0$0$No700,000$700,000$Lien
Connor MackeyMonsters (Clb)D261996-09-12No197 Lbs6 ft2NoNoYesNo2Pro & Farm925,000$462,500$0$0$No925,000$Lien
Daniil ChaykaMonsters (Clb)D192002-10-22Yes187 Lbs6 ft3NoNoNoNo3Pro & Farm847,500$423,750$0$0$No847,500$847,500$
Dominik BokkMonsters (Clb)LW/RW222000-02-03Yes181 Lbs6 ft2NoNoNoNo2Pro & Farm863,333$431,666$0$0$No863,333$Lien
Drew HellesonMonsters (Clb)D212001-03-26Yes190 Lbs6 ft3NoNoNoNo3Pro & Farm925,000$462,500$0$0$No925,000$925,000$Lien
Gustav LindstromMonsters (Clb)D231998-10-20No186 Lbs6 ft2NoNoNoNo1Pro & Farm775,833$387,916$0$0$NoLien
Jake ChristiansenMonsters (Clb)D231999-09-12Yes193 Lbs6 ft0NoNoNoNo1Pro & Farm925,000$462,500$0$0$NoLien
Jakub SkarekMonsters (Clb)G221999-11-10Yes203 Lbs6 ft3NoNoNoNo2Pro & Farm764,167$382,084$0$0$No764,167$Lien
Kasper BjorkqvistMonsters (Clb)LW/RW251997-07-10No198 Lbs6 ft1NoNoYesNo2Pro & Farm800,000$400,000$0$0$No800,000$Lien
Ken Appleby (contrat à 1 volet)Monsters (Clb)G271995-04-10Yes216 Lbs6 ft5YesNoYesNo2Pro & Farm750,000$375,000$0$0$No750,000$Lien
Laurent Dauphin (contrat à 1 volet)Monsters (Clb)C271995-03-27No186 Lbs6 ft0NoNoYesNo3Pro & Farm888,888$444,444$0$0$No888,888$888,888$Lien
Loui Eriksson (contrat à 1 volet)Monsters (Clb)LW/RW381984-07-17No196 Lbs6 ft2YesNoYesNo1Pro & Farm750,000$375,000$0$0$NoLien
Lukas CormierMonsters (Clb)D202002-03-27Yes181 Lbs5 ft10NoNoNoNo3Pro & Farm793,333$396,666$0$0$No793,333$793,333$
Luke Philp (contrat à 1 volet)Monsters (Clb)C261995-11-06No181 Lbs5 ft10NoNoYesNo2Pro & Farm900,000$450,000$0$0$No900,000$Lien
Mads SogaardMonsters (Clb)G212000-12-13Yes196 Lbs6 ft7NoNoNoNo1Pro & Farm925,000$462,500$0$0$NoLien
Matt KierstedMonsters (Clb)D241998-04-14No181 Lbs6 ft0NoNoYesNo2Pro & Farm930,000$465,000$0$0$No930,000$Lien
Matt RempeMonsters (Clb)C202002-06-29Yes207 Lbs6 ft7NoNoNoNo3Pro & Farm820,000$410,000$0$0$No820,000$820,000$
Ronald AttardMonsters (Clb)D231999-03-20No207 Lbs6 ft3NoNoNoNo3Pro & Farm883,750$441,875$0$0$No883,750$883,750$Lien
Tim SoderlundMonsters (Clb)LW/RW241998-01-23No163 Lbs5 ft9NoNoYesNo1Pro & Farm825,834$412,917$0$0$NoLien
Vincent IorioMonsters (Clb)D192002-11-14Yes192 Lbs6 ft2NoNoNoNo3Pro & Farm845,000$422,500$0$0$No845,000$845,000$
Wayne Simmonds (contrat à 1 volet)Monsters (Clb)LW/RW341988-08-26No184 Lbs6 ft2NoNoYesNo3Pro & Farm750,000$375,000$0$0$No750,000$750,000$Lien
Wyatte WylieMonsters (Clb)D221999-11-02Yes190 Lbs6 ft0NoNoNoNo2Pro & Farm820,833$410,416$0$0$No820,833$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2723.70190 Lbs6 ft22.11812,629$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Wayne SimmondsLaurent DauphinLoui Eriksson40023
2Cole FonstadLuke PhilpBrandon Coe30023
3Dominik BokkBenoit-Olivier GroulxChad Yetman20023
4Kasper BjorkqvistMatt RempeTim Soderlund10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gustav LindstromConnor Mackey40023
2Jake ChristiansenMatt Kiersted30023
3Ronald AttardChase Priskie20032
4Gustav LindstromConnor Mackey10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Wayne SimmondsLaurent DauphinLoui Eriksson60005
2Cole FonstadLuke PhilpBrandon Coe40005
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gustav LindstromConnor Mackey60005
2Jake ChristiansenMatt Kiersted40005
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Laurent DauphinWayne Simmonds60050
2Loui ErikssonLuke Philp40050
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gustav LindstromConnor Mackey60050
2Jake ChristiansenMatt Kiersted40050
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Laurent Dauphin60050Gustav LindstromConnor Mackey60050
2Loui Eriksson40050Jake ChristiansenMatt Kiersted40050
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Laurent DauphinWayne Simmonds60122
2Loui ErikssonLuke Philp40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Gustav LindstromConnor Mackey60122
2Jake ChristiansenMatt Kiersted40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Wayne SimmondsLaurent DauphinLoui ErikssonGustav LindstromConnor Mackey
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Wayne SimmondsLaurent DauphinLoui ErikssonGustav LindstromConnor Mackey
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Benoit-Olivier Groulx, Matt Rempe, Chad YetmanBenoit-Olivier Groulx, Matt RempeChad Yetman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ronald Attard, Chase Priskie, Jake ChristiansenRonald AttardChase Priskie, Jake Christiansen
Tirs de pénalité
Laurent Dauphin, Wayne Simmonds, Loui Eriksson, Luke Philp, Cole Fonstad
Gardien
#1 : Mads Sogaard, #2 : Jakub Skarek


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
1Spiders4130000058-32110000023-12020000035-220.25051015002111822827225642222841500.00%11281.82%04811043.64%4510045.00%255347.17%1037295305227
Total4130000058-32110000023-12020000035-220.25051015002111822827225642222841500.00%11281.82%04811043.64%4510045.00%255347.17%1037295305227
_Since Last GM Reset4130000058-32110000023-12020000035-220.25051015002111822827225642222841500.00%11281.82%04811043.64%4510045.00%255347.17%1037295305227
_Vs Conference4130000058-32110000023-12020000035-220.25051015002111822827225642222841500.00%11281.82%04811043.64%4510045.00%255347.17%1037295305227
_Vs Division4130000058-32110000023-12020000035-220.25051015002111822827225642222841500.00%11281.82%04811043.64%4510045.00%255347.17%1037295305227

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
42OTL151015826422228400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
413000058
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
211000023
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
202000035
Derniers 10 matchs
WLOTWOTL SOWSOL
120100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1500.00%11281.82%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
28272252111
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
4811043.64%4510045.00%255347.17%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1037295305227


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
1 - 2024-04-202Spiders2Monsters0BLSommaire du match
3 - 2024-04-2210Spiders1Monsters2BWXSommaire du match
5 - 2024-04-2418Monsters1Spiders2ALSommaire du match
7 - 2024-04-2626Monsters2Spiders3ALXSommaire du match
9 - 2024-04-2834Spiders-Monsters-
11 - 2024-04-3042Monsters-Spiders-
13 - 2024-05-0250Spiders-Monsters-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance4,0001,982
Assistance PCT100.00%99.10%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
39 2991 - 99.70% 101,838$203,676$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,790,207$ 1,790,207$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

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




Monsters 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

Monsters 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

Monsters 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

Monsters 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

Monsters 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