Connexion

Monsters
GP: 6 | W: 2 | L: 4
GF: 23 | GA: 27 | PP%: 27.78% | PK%: 70.37%
DG: Sébastien Lessard | Morale : 70 | Moyenne d’équipe : 68
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Centre de jeu
Sound Tigers
8-4-0, 16pts
4
FINAL
3 Monsters
2-4-0, 4pts
Team Stats
W1SéquenceL1
5-1-0Fiche domicile1-2-0
3-3-0Fiche domicile1-2-0
7-3-0Derniers 10 matchs2-2-2
4.25Buts par match 3.83
3.75Buts contre par match 4.50
30.61%Pourcentage en avantage numérique27.78%
84.38%Pourcentage en désavantage numérique70.37%
Monsters
2-4-0, 4pts
0
FINAL
7 Sound Tigers
8-4-0, 16pts
Team Stats
L1SéquenceW1
1-2-0Fiche domicile5-1-0
1-2-0Fiche domicile3-3-0
2-2-2Derniers 10 matchs7-3-0
3.83Buts par match 4.25
4.50Buts contre par match 3.75
27.78%Pourcentage en avantage numérique30.61%
70.37%Pourcentage en désavantage numérique84.38%
Meneurs d'équipe
Andrew PoturalskiButs
Andrew Poturalski
4
Carsen TwarynskiPasses
Carsen Twarynski
4
Andrew PoturalskiPoints
Andrew Poturalski
6
Mason GeertsenPlus/Moins
Mason Geertsen
4
Antoine BibeauVictoires
Antoine Bibeau
2
Pourcentage d’arrêts
Mike Robinson
0.85

Statistiques d’équipe
Buts pour
23
3.83 GFG
Tirs pour
210
35.00 Avg
Pourcentage en avantage numérique
27.8%
5 GF
Début de zone offensive
39.3%
Buts contre
27
4.50 GAA
Tirs contre
172
28.67 Avg
Pourcentage en désavantage numérique
70.4%%
8 GA
Début de la zone défensive
38.6%
Informations de l'équipe

Directeur généralSébastien Lessard
EntraîneurAlex Burrows
DivisionDivision Nord-Est
ConférenceConference Est
CapitaineStefan Matteau
Assistant #1Luke Johnson
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,700
Billets de saison300


Informations de la formation

Équipe Pro31
Équipe Mineure22
Limite contact 53 / 80
Espoirs16


Historique d'équipe

Saison actuelle2-4
Historique191-118-26 (0.570%)
Apparitions en séries éliminatoires 4
Historique en séries éliminatoires (W-L)23-17
Coupe Stanley1


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
1Andrew PoturalskiXX100.00813987657077837781726970736971050690302925,000$
2Tim Gettinger (R)X100.00797376719674787269716968726567050690261875,000$
3Max WillmanXX100.00653979748184876780707269686870050690291625,000$
4Carsen Twarynski (R)X100.00636893728176716978707372736668050690261900,000$
5Cam Morrison (R)X100.00763991708572746871707071676567050690252750,000$
6Bokondji Imama (R)X100.00778564699280857063697269656769050690271850,000$
7Anthony AngelloXX100.00784284629277766979697271726769050690281750,000$
8Justin BaileyX100.00593987638975787471706972776870050690282875,000$
9Riley Sutter (R)X100.00794186758866726973706772636466050690242625,000$
10Ryan Mcgregor (R)XX100.00593788728472697676706971686466050690252625,000$
11Blade Jenkins (R)XX100.00673795728667737462717072676365050690232625,000$
12Luke Johnson (A)X100.00813591676869717284726971747371050680291950,000$
13Mitch ReinkeX100.00613689737981767230696669596769050690281825,000$
14Sean Day (R)X100.00773982688768736930706473566567050690261875,000$
15Mason GeertsenX100.00807952668977826830656270566870050690292925,000$
16Adam Ginning (R)X100.00744172618382726730696775506365050690243825,000$
17Dysin MayoX100.007740846777858464306562736367690506902742,400,000$
18Chris BigrasX100.00674284727679846030606067637166050670292925,000$
Rayé
1Nathan WalkerX100.00793985747783717569717069746971050690301975,000$
2Ryan FitzgeraldXX100.00553689778581866886707069726971050690291950,000$
3Stefan Matteau (C)XX100.00874383728278796177676971727367050690301950,000$
4Filip Hallander (R)XX100.00603788768584857374696968736365050690233825,000$
5Jackson Cates (R)X100.00633685738275747183717170726668050690262825,000$
6Tanner KaspickXX100.00615176718777827671707169676567050690261950,000$
7Curtis Hall (R)X100.00743991638370766368696669636365050660243525,000$
8Jack Malone (R)XX100.00553683657575806545666665506060050640233525,000$
9Dylan SadowyXX100.00555070628560605545606266505050050600281525,000$
10Filip Berglund (R)X100.00454588607075756930555569505555050620261525,000$
11Luke Green (R)X100.00663888618560656930606460556563050620261525,000$
MOYENNE D’ÉQUIPE100.0069458369837577696068677065656605068
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
1Antoine Bibeau100.0071656370727362656571716983050680303999,000$
2Mike Robinson (R)100.0065656568595757645566505050050600271525,000$
Rayé
MOYENNE D’ÉQUIPE100.006865646966656065606961606705064
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alex Burrows66616561635884CAN431500,000$


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
1Nicholas AbruzzeseCOLUMBUS Blue Jackets C/LW6088220215285120%212921.610335150000310043.23%15500001.2300000000
2Nicolas PetanCOLUMBUS Blue Jackets C/LW/RW6527-1003202261722.73%011819.78011113000040039.52%12400001.1800000110
3Andrew PoturalskiMonsters (CLB)C/RW6426280942111119.05%111419.060113150000120066.67%1200001.0500000000
4Alex FormentonCOLUMBUS Blue Jackets LW6224-1201514289167.14%315726.211128140001320041.94%6200000.5100000000
5Sean DayMonsters (CLB)D613426010811499.09%614624.34011615000020000%000000.5500000010
6Carsen TwarynskiMonsters (CLB)LW6044-14049155170%212621.050002130000110044.44%2700000.6300000000
7Adam GinningMonsters (CLB)D613442001075514.29%1012821.46101212000021000%000000.6200000000
8Chris BigrasMonsters (CLB)D6044-7601433140%29816.470000000008000%000000.8100000000
9Mason GeertsenMonsters (CLB)D6123411521553220.00%412721.21101212000021100%000000.4700100001
10Dysin MayoMonsters (CLB)D62132007583825.00%915225.40202315000025000%000000.3900000000
11Mitch ReinkeMonsters (CLB)D6112-7605750420.00%59515.950000100002000%000000.4200000010
12Max WillmanMonsters (CLB)C/LW6112240413831312.50%18914.8700000000010050.00%9200000.4500000001
13Nathan WalkerMonsters (CLB)LW6202-1001061551013.33%08013.4300000000050114.29%700000.5000000000
14Anthony AngelloMonsters (CLB)C/RW6112021517214487.14%09916.63000211000000030.00%1000000.4000000000
15Justin BaileyMonsters (CLB)RW62022003494422.22%28714.6100000000001050.00%400000.4600000100
16Ryan FitzgeraldMonsters (CLB)C/LW6000-400016040%1244.1400000000000033.33%30000000000000
17Filip HallanderMonsters (CLB)C/LW6000100102110%1172.880000200000000%10000000000000
18Blade JenkinsMonsters (CLB)C/LW6000-400233110%0244.1400000000000034.38%320000000000000
Statistiques d’équipe totales ou en moyenne108233457-572101271292106014610.95%49181916.8557123414400011992142.72%52900000.6300100232
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
1Antoine BibeauMonsters (CLB)62220.8424.2134200241520100060000
2Mike RobinsonMonsters (CLB)20000.8505.6332203200000006000
Statistiques d’équipe totales ou en moyenne82220.8434.333742027172010066000


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 Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Type Salaire actuel Salaire restantPlafond salarial Non Activé 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 10Non-échange Année 2Non-échange Année 3Non-échange Année 4Non-échange Année 5Non-échange Année 6Non-échange Année 7Non-échange Année 8Non-échange Année 9Non-échange Année 10Lien
Adam GinningMonsters (CLB)D242000-01-13 02:00:33Yes196 Lbs6 ft3NoNoN/ANoNo3Pro & Farm825,000$58,929$0$0$No825,000$825,000$-------NoNo-------Lien / Lien NHL
Andrew PoturalskiMonsters (CLB)C/RW301994-01-14 02:33:28No181 Lbs5 ft10NoNoN/ANoNo2Pro & Farm925,000$66,071$0$0$No925,000$--------No--------Lien / Lien NHL
Anthony AngelloMonsters (CLB)C/RW281996-03-06 07:43:49No210 Lbs6 ft5NoNoN/ANoNo1Pro & Farm750,000$53,571$0$0$No------------------Lien / Lien NHL
Antoine BibeauMonsters (CLB)G301994-05-01 02:15:38No214 Lbs6 ft3NoNoN/ANoNo3Pro & Farm999,000$71,357$0$0$No999,000$999,000$-------NoNo-------Lien / Lien NHL
Blade JenkinsMonsters (CLB)C/LW232000-08-11 02:45:59Yes200 Lbs6 ft1NoNoN/ANoNo2Pro & Farm625,000$44,643$0$0$No625,000$--------No--------Lien / Lien NHL
Bokondji ImamaMonsters (CLB)LW271996-08-03 10:29:47Yes220 Lbs6 ft1NoNoN/ANoNo1Pro & Farm850,000$60,714$0$0$No------------------Lien / Lien NHL
Cam MorrisonMonsters (CLB)LW251998-08-27 11:59:37Yes212 Lbs6 ft3NoNoN/ANoNo2Pro & Farm750,000$53,571$0$0$No750,000$--------No--------Lien / Lien NHL
Carsen TwarynskiMonsters (CLB)LW261997-11-24 05:26:12Yes198 Lbs6 ft2NoNoN/ANoNo1Pro & Farm900,000$64,286$0$0$No------------------Lien / Lien NHL
Chris BigrasMonsters (CLB)D291995-02-22 01:42:05No190 Lbs6 ft1NoNoN/ANoNo2Pro & Farm925,000$66,071$0$0$No925,000$--------No--------Lien
Curtis HallMonsters (CLB)C242000-04-26 02:04:27Yes210 Lbs6 ft4NoNoN/ANoNo3Pro & Farm525,000$37,500$0$0$No525,000$525,000$-------NoNo-------Lien / Lien NHL
Dylan SadowyMonsters (CLB)LW/RW281996-04-02 02:03:51No73 Lbs1 ft8NoNoN/ANoNo1Pro & Farm525,000$37,500$0$0$No------------------Lien
Dysin MayoMonsters (CLB)D271996-08-17 10:47:23No183 Lbs6 ft2NoNoN/ANoNo4Pro & Farm2,400,000$171,429$0$0$No2,400,000$2,400,000$2,400,000$------NoNoNo------Lien / Lien NHL
Filip BerglundMonsters (CLB)D261997-05-10 06:06:21Yes209 Lbs6 ft2NoNoN/ANoNo1Pro & Farm525,000$37,500$0$0$No------------------Lien
Filip HallanderMonsters (CLB)C/LW232000-06-29 02:06:42Yes190 Lbs6 ft1NoNoN/ANoNo3Pro & Farm825,000$58,929$0$0$No825,000$825,000$-------NoNo-------Lien / Lien NHL
Jack MaloneMonsters (CLB)C/RW232000-10-13 02:08:57Yes190 Lbs6 ft1NoNoN/ANoNo3Pro & Farm525,000$37,500$0$0$No525,000$525,000$-------NoNo-------Lien
Jackson CatesMonsters (CLB)C261997-09-26 11:45:44Yes190 Lbs6 ft0NoNoN/ANoNo2Pro & Farm825,000$58,929$0$0$No825,000$--------No--------Lien / Lien NHL
Justin BaileyMonsters (CLB)RW281995-07-01 09:39:41No214 Lbs6 ft4NoNoN/ANoNo2Pro & Farm875,000$62,500$0$0$No875,000$--------No--------Lien / Lien NHL
Luke GreenMonsters (CLB)D261998-01-12 00:03:58Yes187 Lbs6 ft0NoNoN/ANoNo1Pro & Farm525,000$37,500$0$0$No------------------Lien
Luke JohnsonMonsters (CLB)C291994-09-19 13:10:23No198 Lbs5 ft11NoNoN/ANoNo1Pro & Farm950,000$67,857$0$0$No------------------Lien / Lien NHL
Mason GeertsenMonsters (CLB)D291995-04-19 14:10:54No216 Lbs6 ft4NoNoN/ANoNo2Pro & Farm925,000$66,071$0$0$No925,000$--------No--------Lien / Lien NHL
Max WillmanMonsters (CLB)C/LW291995-02-13 14:13:35No183 Lbs6 ft0NoNoN/ANoNo1Pro & Farm625,000$44,643$0$0$No------------------Lien / Lien NHL
Mike RobinsonMonsters (CLB)G271997-03-27 06:10:53Yes195 Lbs6 ft4NoNoN/ANoNo1Pro & Farm525,000$37,500$0$0$No------------------Lien
Mitch ReinkeMonsters (CLB)D281996-02-04 00:06:05No181 Lbs5 ft11NoNoN/ANoNo1Pro & Farm825,000$58,929$0$0$No------------------Lien / Lien NHL
Nathan WalkerMonsters (CLB)LW301994-02-07 23:26:41No185 Lbs5 ft8NoNoN/ANoNo1Pro & Farm975,000$69,643$0$0$No------------------Lien / Lien NHL
Riley SutterMonsters (CLB)RW241999-10-25 02:41:16Yes204 Lbs6 ft4NoNoN/ANoNo2Pro & Farm625,000$44,643$0$0$No625,000$--------No--------Lien / Lien NHL
Ryan FitzgeraldMonsters (CLB)C/LW291994-10-19 02:11:24No172 Lbs5 ft9NoNoN/ANoNo1Pro & Farm950,000$67,857$0$0$No------------------Lien
Ryan McgregorMonsters (CLB)C/LW251999-01-29 02:44:01Yes168 Lbs6 ft0NoNoN/ANoNo2Pro & Farm625,000$44,643$0$0$No625,000$--------No--------Lien / Lien NHL
Sean DayMonsters (CLB)D261998-01-09 13:18:53Yes225 Lbs6 ft3NoNoN/ANoNo1Pro & Farm875,000$62,500$0$0$No------------------Lien / Lien NHL
Stefan MatteauMonsters (CLB)C/LW301994-02-23 16:28:24No227 Lbs6 ft2NoNoN/ANoNo1Pro & Farm950,000$67,857$0$0$No------------------Lien / Lien NHL
Tanner KaspickMonsters (CLB)C/LW261998-01-28 05:17:03No205 Lbs6 ft1NoNoN/ANoNo1Pro & Farm950,000$67,857$0$0$No------------------Lien / Lien NHL
Tim GettingerMonsters (CLB)LW261998-04-14 13:21:13Yes218 Lbs6 ft6NoNoN/ANoNo1Pro & Farm875,000$62,500$0$0$No------------------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
3126.81195 Lbs6 ft01.71831,419$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andrew Poturalski40122
230122
3Max WillmanJustin Bailey20122
4Blade Jenkins10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dysin MayoSean Day40122
2Mason GeertsenAdam Ginning30122
3Mitch ReinkeChris Bigras20122
4Dysin MayoSean Day10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Andrew Poturalski60122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dysin MayoSean Day60122
2Mason GeertsenAdam Ginning40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Andrew Poturalski40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dysin MayoSean Day60122
2Mason GeertsenAdam Ginning40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Dysin MayoSean Day60122
240122Mason GeertsenAdam Ginning40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Andrew Poturalski40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Dysin MayoSean Day60122
2Mason GeertsenAdam Ginning40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andrew PoturalskiDysin MayoSean Day
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Andrew PoturalskiDysin MayoSean Day
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, Max Willman, , Max Willman
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Mitch Reinke, Chris Bigras, Mason GeertsenMitch ReinkeChris Bigras, Mason Geertsen
Tirs de pénalité
, , , Andrew Poturalski,
Gardien
#1 : Antoine Bibeau, #2 :


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
1Sound Tigers624000002327-4312000001513231200000814-640.33323345700512602107265667172497412718527.78%27870.37%09120843.75%8220440.20%5311745.30%14799146478038
Total624000002327-4312000001513231200000814-640.33323345700512602107265667172497412718527.78%27870.37%09120843.75%8220440.20%5311745.30%14799146478038
_Since Last GM Reset624000002327-4312000001513231200000814-640.33323345700512602107265667172497412718527.78%27870.37%09120843.75%8220440.20%5311745.30%14799146478038
_Vs Conference624000002327-4312000001513231200000814-640.33323345700512602107265667172497412718527.78%27870.37%09120843.75%8220440.20%5311745.30%14799146478038

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
64L1233457210172497412700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
62400002327
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
31200001513
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
3120000814
Derniers 10 matchs
WLOTWOTL SOWSOL
220200
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
18527.78%27870.37%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
726566751260
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
9120843.75%8220440.20%5311745.30%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
14799146478038


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
25Sound Tigers4Monsters8BWSommaire du match
413Sound Tigers5Monsters4BLXSommaire du match
621Monsters6Sound Tigers3AWSommaire du match
829Monsters2Sound Tigers4ALSommaire du match
1037Sound Tigers4Monsters3BLXSommaire du match
1245Monsters0Sound Tigers7ALSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets4020
Assistance5,1013,000
Assistance PCT85.02%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
38 2700 - 90.01% 105,616$316,848$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 2,577,400$ 3,422,400$ 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 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
1Nicolas Petan1899413022455205348271813.09%41388120.532145661421011012746.73%31.1514
2Carsen Twarynski27192107199339832634071912.80%64431715.93263561131134138547.77%30.9225
3Nicholas Abruzzese1637911018919233546759013.39%39344921.161741581233031512543.08%21.1038
4Mason Geertsen3114313918233533111226735512.11%400679621.852431551710553430%00.5400
5Chris Bigras32835146181371574192833569.83%407668520.381338511511674520%00.5400

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
1Garret Sparks79551540.9043.0644162522523460420.64314
2Kevin Mandolese68402140.8963.4938002122121170100.7147
3Dustin Tokarski78362970.8744.0141288027621960220.2005
4Carter Hutton63302520.8933.4234212019518270240.50010
5Antoine Bibeau68281820.9033.0531652216116640330.90010

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
2082363801502310335-2541181900301150172-2241181901201160163-3813105708802012696872259792680286014267181271718682827727.30%2937674.06%71435274852.22%1446280551.55%696141449.22%1921131619556031061522
2182373407121315275404121160211014913019411618050111661452194315568883521108810814272085486498034262876165818532566324.61%2886577.43%61484284352.20%1490288451.66%701140749.82%1947133719346091072536
22825319032323502481024126100211116211547412790112118813355122350645995351211231009291198798092931262976758919212798229.39%2595777.99%51494297650.20%1499290851.55%716137552.07%1985137919155961054531
238239270842234229547412290621118113843411718022111611574104342623965111301198313268588188189046274182661819472728531.25%2675977.90%11327277047.91%1325285846.36%674142547.30%1942133519526081067534
Total Saison régulière32816511801912771317115316416487540107336425558716478640954467559877401131724063723118487426378381091336483527365912510669316625827589108930728.19%110725776.78%1957401133750.63%57601145550.28%2787562149.58%779753687757241742562125
Séries éliminatoires
211156000003135-4532000001394624000001826-810315788011199235512512010643321067726635617.14%35780.00%019940349.38%19538550.65%10718757.22%2671822518415076
22231670000094761813940000054431110730000040337329417226611343127280326824926224763216193582711521.13%902077.78%043587649.66%43585351.00%17937947.23%561385554172301148
23624000002327-4312000001513231200000814-6423345700512602107265667172497412718527.78%27870.37%09120843.75%8220440.20%5311745.30%14799146478038
Total Séries éliminatoires4023170000014813810211380000082651719109000006673-74614826341112505242413684654344343512673713449751242620.97%1523576.97%0725148748.76%712144249.38%33968349.63%977667951303532264

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
1Nicolas Petan4023254852148914116.31%577419.374591900003050.71%01.2400
2Nicholas Abruzzese29923327211661277.09%557619.8838111800001143.96%01.1100
3Jordan Gross2342630206831429.52%4259425.84044200000100%01.0100
4Brendan Lemieux231217298401196311610.34%954723.810221800024047.55%01.0600
5Alex Formenton25716234145749897.87%1456222.521671500021040.63%00.8200

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
1Garret Sparks2315520.8963.361338417571800100
2Antoine Bibeau113220.8783.50463002722201000
3Mike Robinson20000.8505.63322032000000