Monsters
GP: 7 | W: 3 | L: 4
GF: 21 | GA: 28 | PP%: 11.11% | PK%: 76.92%
DG: Eric Leclerc | Morale : 75 | Moyenne d’équipe : 63
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Centre de jeu
Condors
15-8-0, 30pts
4
FINAL
5 Monsters
3-4-0, 6pts
Team Stats
W1StreakL1
10-3-0Home Record2-1-0
5-5-0Away Record1-3-0
6-1-3Last 10 Games3-3-1
4.17Buts par match 3.00
3.04Buts contre par match 4.00
26.26%Pourcentage en avantage numérique11.11%
79.66%Pourcentage en désavantage numérique76.92%
Monsters
3-4-0, 6pts
0
FINAL
6 Condors
15-8-0, 30pts
Team Stats
L1StreakW1
2-1-0Home Record10-3-0
1-3-0Away Record5-5-0
3-3-1Last 10 Games6-1-3
3.00Buts par match 4.17
4.00Buts contre par match 3.04
11.11%Pourcentage en avantage numérique26.26%
76.92%Pourcentage en désavantage numérique79.66%
Meneurs d'équipe
Anthony StolarzVictoires
Anthony Stolarz
3
Charlie LindgrenPourcentage d’arrêts
Charlie Lindgren
0.95

Statistiques d’équipe
Buts pour
21
3.00 GFG
Tirs pour
210
30.00 Avg
Pourcentage en avantage numérique
11.1%
2 GF
Début de zone offensive
36.1%
Buts contre
28
4.00 GAA
Tirs contre
273
39.00 Avg
Pourcentage en désavantage numérique
76.9%
9 GA
Début de la zone défensive
44.1%
Information d’équipe

Directeur généralEric Leclerc
EntraîneurJeremy Colliton
DivisionCentral Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance3,000
Billets de saison300


Information formation

Équipe Pro24
Équipe Mineure19
Limite contact 43 / 80
Espoirs32


Historique d'équipe

Saison actuelle3-4
Historique119-111-18 (0.480%)
Apparitions séries éliminatoires 1
Historique séries éliminatoires (W-L)5-8
Stanley Cup0


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
1Logan Brown0X100.00807591649678766773686063656668075660251995,000$
2Liam Foudy (R)0XX100.00643695727880776763616269656263075650231925,000$
3Brendan Lemieux0XX100.008982586680767763566162576268700756402711,688,000$
4Wayne Simmonds0XX100.008385616377737661656257555988760756303524,000,000$
5Alex Steeves (R)0X100.00633784647488846371655860626466075630242950,000$
6Brendan Brisson (R)0XXX100.00593972666884716567646358656264075620223950,000$
7Graeme Clarke (R)0X100.00583787646791826366646258636264075620223950,000$
8Turner Elson0X100.00673885607381885966585758627173075620311925,000$
9Xavier Simoneau (R)0X100.00634166646267716370675565636267075610223950,000$
10Nathan Legare (R)0X100.00664174557585835458555657536264075590222950,000$
11Patrick Guay (R)0X100.00573974566673625562565753566163075570213950,000$
12Pierre-Olivier Joseph0X100.00683580747788866730736157536365075660243995,000$
13Justin Barron (R)0X100.00703891678185816530676362536263075650222950,000$
14Gustav Lindstrom0X100.00653687657886786330725466496567075640253998,900$
15Jordan Spence (R)0X100.00633785666790856430696062516264075640222950,000$
16Brayden Pachal (R)0X100.00774364598182856030645865496466075630243995,000$
17Jacob Larsson0X100.006740756679788362306358615066680756302621,200,000$
18William Lagesson (R)0X100.00714180608279805830655560486769075620271750,000$
19John Parker-Jones0X100.00904860539963625230515561466365075590233875,000$
Rayé
1Rasmus Asplund0XXX100.005534957069828468726759636466670756402611,650,000$
2Xavier Parent (R)0XX100.00623687566271615553525851576264075570223950,000$
MOYENNE D’ÉQUIPE100.0068457963768078625263596057656607562
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
1Anthony Stolarz100.00837469988281838281838270830757102932,638,000$
2Charlie Lindgren100.0081656076807981807981807084075680301875,000$
Rayé
1Remi Poirier (R)100.0072596082717072717072716267075630223950,000$
MOYENNE D’ÉQUIPE100.007966638578777978777978677807567
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jeremy Colliton75717272585488CAN382900,000$


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’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 BrownMonsters (CBJ)C74485405293061613.33%119027.280004150000382056.31%29300000.8400000110
2Alex SteevesMonsters (CBJ)C7257020526156813.33%112818.34101411000000051.90%15800001.0900000000
3Liam FoudyMonsters (CBJ)C/RW7347300119322209.38%517324.790005150001411033.33%900000.8100000011
4Brendan LemieuxMonsters (CBJ)LW/RW73473120207711942.86%114921.300001150000170047.37%1900000.9400000100
5Brendan BrissonMonsters (CBJ)C/LW/RW73250203132061215.00%213419.22000311000060057.14%700000.7400000001
6Wayne SimmondsMonsters (CBJ)LW/RW723503153941041620.00%014520.811123120000120016.67%1200000.6900000010
7Gustav LindstromMonsters (CBJ)D7134160191512288.33%1515422.07011512000030000.00%000000.5200000001
8Pierre-Olivier JosephMonsters (CBJ)D703326016812430.00%1518826.95000816000131000.00%000000.3200000000
9Brayden PachalMonsters (CBJ)D7022-41201823110.00%89012.950000000009000.00%000000.4400000000
10William LagessonMonsters (CBJ)D71121003231033.33%2355.120000000000000.00%000001.1200000000
11Jordan SpenceMonsters (CBJ)D702216015873120.00%615422.12011612000130000.00%000000.2600000000
12Justin BarronMonsters (CBJ)D702224014138460.00%1918226.12011316000032000.00%000000.2200000000
13Graeme ClarkeMonsters (CBJ)RW7011-5002914880.00%010815.5600001000000050.00%1000000.1800000000
14Patrick GuayMonsters (CBJ)C5011200112140.00%0153.1000000000000040.00%2000001.2900000000
15Turner ElsonMonsters (CBJ)LW7101-52097931111.11%010815.5500000000000066.67%900000.1800000000
16Rasmus AsplundMonsters (CBJ)C/LW/RW21010000772514.29%13718.8800001000240039.13%4600000.5300000000
17Nathan LegareMonsters (CBJ)RW5011200121120.00%0153.100000000000000.00%000001.2900000000
18John Parker-JonesMonsters (CBJ)D5000100510000.00%0275.540000000000000.00%000000.0000000000
19Xavier ParentMonsters (CBJ)C/LW2000000000000.00%010.570000000000000.00%100000.0000000000
20Xavier SimoneauMonsters (CBJ)C7000-520112514590.00%29213.19000000000110059.22%10300000.0000000000
21Jacob LarssonMonsters (CBJ)D7000-400214310.00%87911.330000000000000.00%000000.0000000000
Statistiques d’équipe totales ou en moyenne13121385908951891992107315110.00%86221616.922464214300052683052.84%68700000.5300000233
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
1Anthony StolarzMonsters (CBJ)73310.8933.8042620272530000.000070000
2Charlie LindgrenMonsters (CBJ)10000.9502.0030001200000.000007000
Statistiques d’équipe totales ou en moyenne83310.8973.6845720282730000.000077000


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 restantSalaire moyenSalaire 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 10Link
Alex SteevesMonsters (CBJ)C2412/10/1999Yes196 Lbs6 ft0NoNoNo2Pro & Farm950,000$41,304$950,000$41,304$0$0$No950,000$Lien / Lien NHL
Anthony Stolarz (contrat à 1 volet)Monsters (CBJ)G291/20/1994No243 Lbs6 ft6NoNoYes3Pro & Farm2,638,000$114,696$2,638,000$114,696$2,638,000$114,696$No2,638,000$2,638,000$Lien / Lien NHL
Brayden PachalMonsters (CBJ)D248/23/1999Yes203 Lbs6 ft2NoNoNo3Pro & Farm995,000$43,261$995,000$43,261$0$0$No995,000$995,000$Lien / Lien NHL
Brendan BrissonMonsters (CBJ)C/LW/RW2210/22/2001Yes179 Lbs5 ft11NoNoNo3Pro & Farm950,000$41,304$550,000$23,913$0$0$No950,000$950,000$Lien / Lien NHL
Brendan Lemieux (contrat à 1 volet)Monsters (CBJ)LW/RW273/15/1996No215 Lbs6 ft1NoNoNo1Pro & Farm1,688,000$73,391$1,688,000$73,391$1,688,000$73,391$NoLien / Lien NHL
Charlie LindgrenMonsters (CBJ)G3012/18/1993No179 Lbs6 ft2NoNoYes1Pro & Farm875,000$38,043$875,000$38,043$0$0$NoLien / Lien NHL
Graeme ClarkeMonsters (CBJ)RW224/24/2001Yes175 Lbs5 ft11NoNoNo3Pro & Farm950,000$41,304$950,000$41,304$0$0$No950,000$950,000$Lien NHL
Gustav LindstromMonsters (CBJ)D2510/20/1998No186 Lbs6 ft2NoNoNo3Pro & Farm998,900$43,430$998,900$43,430$0$0$No998,900$998,900$Lien / Lien NHL
Jacob Larsson (contrat à 1 volet)Monsters (CBJ)D264/29/1997No193 Lbs6 ft2NoNoNo2Pro & Farm1,200,000$52,174$1,200,000$52,174$1,200,000$52,174$No1,200,000$Lien / Lien NHL
John Parker-JonesMonsters (CBJ)D234/7/2000No230 Lbs6 ft7NoNoNo3Pro & Farm875,000$38,043$875,000$38,043$0$0$No875,000$875,000$Lien / Lien NHL
Jordan SpenceMonsters (CBJ)D222/24/2001Yes180 Lbs5 ft10NoNoNo2Pro & Farm950,000$41,304$950,000$41,304$0$0$No950,000$Lien / Lien NHL
Justin BarronMonsters (CBJ)D2211/15/2001Yes201 Lbs6 ft2NoNoNo2Pro & Farm950,000$41,304$950,000$41,304$0$0$No950,000$Lien / Lien NHL
Liam FoudyMonsters (CBJ)C/RW232/4/2000Yes188 Lbs6 ft2NoNoNo1Pro & Farm925,000$40,217$925,000$40,217$0$0$NoLien / Lien NHL
Logan BrownMonsters (CBJ)C253/5/1998No218 Lbs6 ft6NoNoNo1Pro & Farm995,000$43,261$995,000$43,261$0$0$NoLien / Lien NHL
Nathan LegareMonsters (CBJ)RW221/11/2001Yes205 Lbs6 ft0NoNoNo2Pro & Farm950,000$41,304$950,000$41,304$0$0$No950,000$Lien / Lien NHL
Patrick GuayMonsters (CBJ)C214/29/2002Yes181 Lbs5 ft9NoNoNo3Pro & Farm950,000$41,304$550,000$23,913$0$0$No950,000$950,000$Lien NHL
Pierre-Olivier JosephMonsters (CBJ)D247/1/1999No185 Lbs6 ft2NoNoNo3Pro & Farm995,000$43,261$995,000$43,261$0$0$No995,000$995,000$Lien / Lien NHL
Rasmus Asplund (contrat à 1 volet)Monsters (CBJ)C/LW/RW2612/3/1997No185 Lbs5 ft11NoNoNo1Pro & Farm1,650,000$71,739$1,650,000$71,739$1,650,000$71,739$NoLien / Lien NHL
Remi PoirierMonsters (CBJ)G2210/6/2001Yes210 Lbs6 ft2NoNoNo3Pro & Farm950,000$41,304$550,000$23,913$0$0$No950,000$950,000$Lien NHL
Turner ElsonMonsters (CBJ)LW319/13/1992No191 Lbs6 ft0NoNoNo1Pro & Farm925,000$40,217$925,000$40,217$0$0$NoLien / Lien NHL
Wayne Simmonds (contrat à 1 volet)Monsters (CBJ)LW/RW358/26/1988No184 Lbs6 ft2NoNoNo2Pro & Farm4,000,000$173,913$4,000,000$173,913$4,000,000$173,913$No4,000,000$Lien / Lien NHL
William LagessonMonsters (CBJ)D272/22/1996Yes207 Lbs6 ft2NoNoNo1Pro & Farm750,000$32,609$750,000$32,609$0$0$NoLien / Lien NHL
Xavier ParentMonsters (CBJ)C/LW223/23/2001Yes170 Lbs5 ft8NoNoNo3Pro & Farm950,000$41,304$550,000$23,913$0$0$No950,000$950,000$Lien NHL
Xavier SimoneauMonsters (CBJ)C225/19/2001Yes183 Lbs5 ft6NoNoNo3Pro & Farm950,000$41,304$550,000$23,913$0$0$No950,000$950,000$Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2424.83195 Lbs6 ft12.171,208,746$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan LemieuxLogan BrownLiam Foudy45122
2Wayne SimmondsAlex SteevesBrendan Brisson30122
3Turner ElsonXavier SimoneauGraeme Clarke20122
4Logan BrownPatrick GuayNathan Legare5122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephJustin Barron40122
2Jordan SpenceGustav Lindstrom30122
3Jacob LarssonBrayden Pachal20122
4William LagessonJohn Parker-Jones10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Brendan LemieuxLogan BrownLiam Foudy60122
2Wayne SimmondsAlex SteevesBrendan Brisson40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephJustin Barron60122
2Jordan SpenceGustav Lindstrom40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Logan BrownLiam Foudy60122
2Brendan LemieuxWayne Simmonds40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephJustin Barron60122
2Jordan SpenceGustav Lindstrom40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Logan Brown60122Pierre-Olivier JosephJustin Barron60122
2Liam Foudy40122Jordan SpenceGustav Lindstrom40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Logan BrownLiam Foudy60122
2Brendan LemieuxWayne Simmonds40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Pierre-Olivier JosephJustin Barron60122
2Jordan SpenceGustav Lindstrom40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LemieuxLogan BrownLiam FoudyPierre-Olivier JosephJustin Barron
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Brendan LemieuxLogan BrownLiam FoudyPierre-Olivier JosephJustin Barron
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Graeme Clarke, Turner Elson, Xavier SimoneauGraeme Clarke, Turner ElsonXavier Simoneau
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jacob Larsson, Brayden Pachal, William LagessonJacob LarssonBrayden Pachal, William Lagesson
Tirs de pénalité
Logan Brown, Liam Foudy, Brendan Lemieux, Wayne Simmonds, Alex Steeves
Gardien
#1 : Anthony Stolarz, #2 : Charlie Lindgren
Lignes d’attaque personnalisées en prolongation
Logan Brown, Liam Foudy, Brendan Lemieux, Wayne Simmonds, Alex Steeves, Brendan Brisson, Brendan Brisson, Graeme Clarke, Turner Elson, Xavier Simoneau, Nathan Legare
Lignes de défense personnalisées en prolongation
Pierre-Olivier Joseph, Justin Barron, Jordan Spence, Gustav Lindstrom, Jacob Larsson


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
1Condors734000002128-7321000001312141300000816-860.42921385900776121067545831273869118918211.11%39976.92%012624850.81%15730351.82%8013658.82%171117189569546
Total734000002128-7321000001312141300000816-860.42921385900776121067545831273869118918211.11%39976.92%012624850.81%15730351.82%8013658.82%171117189569546
_Since Last GM Reset734000002128-7321000001312141300000816-860.42921385900776121067545831273869118918211.11%39976.92%012624850.81%15730351.82%8013658.82%171117189569546
_Vs Conference734000002128-7321000001312141300000816-860.42921385900776121067545831273869118918211.11%39976.92%012624850.81%15730351.82%8013658.82%171117189569546

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
76L1213859210273869118900
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
73400002128
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
32100001312
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4130000816
Derniers 10 matchs
WLOTWOTL SOWSOL
330100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18211.11%39976.92%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
675458317761
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
12624850.81%15730351.82%8013658.82%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
171117189569546


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 - 2024-04-187Monsters5Condors1AWSommaire du match
3 - 2024-04-2015Monsters0Condors5ALSommaire du match
5 - 2024-04-2223Condors4Monsters3BLSommaire du match
7 - 2024-04-2431Condors4Monsters5BWXSommaire du match
9 - 2024-04-2639Monsters3Condors4ALXSommaire du match
11 - 2024-04-2847Condors4Monsters5BWSommaire du match
13 - 2024-04-3055Monsters0Condors6ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets2515
Assistance6,0003,000
Assistance PCT100.00%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 3000 - 100.00% 81,250$243,750$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,783,390$ 1,583,390$ 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$ 2 0$ 0$




Monsters Leaders statistiques (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
1Liam Foudy153748816233208850169110.71%61323321.132017371151231113356.84%01.0037
2Logan Brown1464996145371103615055458.99%53344223.5882331760331410256.36%20.8418
3Rasmus Asplund12566771432783433156911.60%40275122.011518331072351412354.64%31.0419
4Pierre-Olivier Joseph15423110133281013532242688.58%204357323.20826341261234020.00%00.7400
5Alex Steeves1405068118173114138242111.88%30229016.36310133300048154.08%21.0302

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
1Ilya Samsonov83552530.9152.8949658223928020210.75929
2Anthony Stolarz73422630.9073.1141650321623280120.83318
3Charlie Lindgren54291310.9033.2327282114715210210.85714
4Kevin Poulin33121140.8863.961635201089510400.0000
5Sean Bonar57104040.8955.5929084027125700120.7508

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
Saison régulière
2382224904223281386-10541132202202148189-414192702021133197-6461281514795201121006383135104410341024543890108049721492335021.46%2215475.57%31181295739.94%1390363138.28%572147138.89%1666114522885951002462
20228239280563134230933412410034001761354141151802231166174-81013426229641113010797930199731005100454283885150519462587127.52%2085374.52%21687304355.44%1492281852.95%727143150.80%2147155117995581015525
202382373404331282296-1441152002211138159-2141221402120144137792282512794339690891029408591005104550302089267720082684717.54%2785380.94%61578298152.94%1611314851.18%728137253.06%2025143419105801022516
Total Saison régulière246981110131185905991-86123525207813462483-21123465906372443508-652549051648255364338297249279094287630443073158974828231679610375916822.13%70716077.37%114446898149.50%4493959746.82%2027427447.43%583941315998173330401505
Séries éliminatoires
2022624000001820-231200000910-131200000910-1418304810963022471585144200696015723313.04%30680.00%011624447.54%11323448.29%6510959.63%183128165529145
2023734000002128-7321000001312141300000816-8621385900776121067545831273869118918211.11%39976.92%012624850.81%15730351.82%8013658.82%171117189569546
Total Séries éliminatoires1358000003948-96330000022220725000001726-9103968107101613914341381121097547315515134641512.20%691578.26%024249249.19%27053750.28%14524559.18%35424535410918791

Monsters Leaders statistiques (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
1Liam Foudy139413503436713.43%832124.741011000022156.79%00.8100
2Logan Brown13651151429435211.54%435727.52000600022055.46%00.6100
3Brendan Lemieux1336941643181915.79%429322.54000300000041.18%00.6100
4Alex Steeves7257025261513.33%112818.34101400000051.90%01.0900
5Rasmus Asplund6347121222213.64%315025.01022100020036.84%00.9300

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
1Anthony Stolarz73310.8933.8042620272530000.0000
2Charlie Lindgren52110.9082.5133520141520000.0000
3Kevin Poulin20100.9042.80107005520010.0000