Monsters

GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Yvon Poulin | Morale : 50 | Moyenne d'Équipe : N/A
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Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Charles HudonXX100.00824499746659646433575854755959625000
2Eric Cornel (R)XX100.00797296647279865670475866555151625000
3Drake CaggiulaXX100.00857777826861655934627467256464715000
4Nicolas RoyX100.00794590687859826272647163254747695000
5Kevin Stenlund (R)XX100.00674391658066817554617161254747695000
6Rasmus Asplund (R)XXX100.00694292686457866155575685254646655000
7Tyler Benson (R)X100.00737079717075786350665763544444645000
8Paul Bittner (R)X100.00808079688066705150475164484444575000
9Michael McCarronXX100.00788853658861625974506266594949615000
10Sonny MilanoXX100.00654286837364636625746459255253675000
11Connor Dewar (R)XX100.00706387656369735468535060484444575000
12Brendan GuhleX100.00694289756971755725505474255858635000
13Cale Fleury (R)X100.00904694777464735325394769254747595000
14Gabriel CarlssonX100.00797589787569755025424165395252565000
15Mirco MuellerX100.00785786687972695925494890256061635000
16Markus NutivaaraX100.00734396827168766225524959256263605000
17Slater KoekkoekX100.00804472767270596325554780255758625000
18Mike ReillyX100.00734384787375687325664767256060635000
19Devon ToewsX100.00714291806881877825655065636263655000
Rayé
1Nick Moutrey (R)X100.00818082658069744961464764454444565000
2Pascal Laberge (R)X100.00706582646552515670466160584444595000
3Antoine Morand (R)X100.00716683676670755063494759454444555000
4Ryan Collins (R)X100.00828184528155574825384264404444535000
MOYENNE D'ÉQUIPE100.0076598571736772594454546639515262500
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
1Calvin Pickard100.0054587377535852585756305757565000
2Oscar Dansk100.0060688579586556646160304444614500
Rayé
1Jakub Skarek (R)100.0049526579474850544848304444505000
MOYENNE D'ÉQUIPE100.005459747853575359555530484856480
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Rick Tocchet84927887817667CAN5731,500,000$


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
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


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 RestantCap Salariale Cap Salariale Restant Exclus du Cap Salarial Salaire Année 2Salaire Année 3Salaire Année 4Salaire Année 5Salaire Année 6Salaire Année 7Salaire Année 8Salaire Année 9Salaire Année 10Link
Antoine MorandMonsters (CLB)C211999-02-18Yes185 Lbs5 ft10NoNoNo3Pro & Farm927,500$927,500$0$0$No927,500$927,500$
Brendan GuhleMonsters (CLB)D221997-07-29No186 Lbs6 ft1NoNoNo3Pro & Farm946,083$888,833$0$0$No888,833$888,833$Lien
Cale FleuryMonsters (CLB)D211998-11-19Yes203 Lbs6 ft1NoNoNo3Pro & Farm883,333$883,333$0$0$No883,333$883,333$
Calvin PickardMonsters (CLB)G281992-04-14No207 Lbs6 ft1NoNoNo1Pro & Farm1,000,000$1,000,000$0$0$NoLien
Charles HudonMonsters (CLB)LW/RW261994-06-23No188 Lbs5 ft10NoNoNo3Pro & Farm650,000$725,000$0$0$No650,000$650,000$Lien
Connor DewarMonsters (CLB)C/LW211999-06-26Yes176 Lbs5 ft10NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Devon ToewsMonsters (CLB)D261994-02-20No181 Lbs6 ft1NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Drake CaggiulaMonsters (CLB)LW/RW261994-06-20No185 Lbs5 ft10NoNoNo1Pro & Farm1,350,000$1,350,000$0$0$NoLien
Eric CornelMonsters (CLB)C/RW241996-04-11Yes194 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Gabriel CarlssonMonsters (CLB)D231997-01-02No192 Lbs6 ft5NoNoNo2Pro & Farm894,166$894,166$0$0$No894,166$Lien
Jakub SkarekMonsters (CLB)G201999-11-10Yes196 Lbs6 ft3NoNoNo3Pro & Farm927,500$927,500$0$0$No927,500$927,500$
Kevin StenlundMonsters (CLB)C/RW231996-09-20Yes210 Lbs6 ft4NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Markus NutivaaraMonsters (CLB)D261994-06-06No191 Lbs6 ft1NoNoNo3Pro & Farm2,700,000$2,700,000$0$0$No2,700,000$2,700,000$Lien
Michael McCarronMonsters (CLB)C/RW251995-03-06No231 Lbs6 ft6NoNoNo1Pro & Farm1,075,833$1,075,833$0$0$NoLien
Mike ReillyMonsters (CLB)D261993-07-12No195 Lbs6 ft2NoNoNo3Pro & Farm1,500,000$1,500,000$0$0$No1,500,000$1,500,000$Lien
Mirco MuellerMonsters (CLB)D251995-03-21No210 Lbs6 ft3NoNoNo1Pro & Farm1,400,000$1,400,000$0$0$NoLien
Nick MoutreyMonsters (CLB)C251995-06-23Yes218 Lbs6 ft3NoNoNo2Pro & Farm925,000$925,000$0$0$No925,000$
Nicolas RoyMonsters (CLB)C231997-02-05No208 Lbs6 ft4NoNoNo1Pro & Farm815,000$815,000$0$0$NoLien
Oscar DanskMonsters (CLB)G261994-02-28No195 Lbs6 ft3NoNoNo2Pro & Farm675,000$675,000$0$0$No675,000$Lien
Pascal LabergeMonsters (CLB)C221998-04-08Yes173 Lbs6 ft1NoNoNo3Pro & Farm863,333$863,333$0$0$No863,333$863,333$
Paul BittnerMonsters (CLB)LW231996-11-03Yes214 Lbs6 ft4NoNoNo3Pro & Farm863,333$863,333$0$0$No863,333$863,333$
Rasmus AsplundMonsters (CLB)C/LW/RW221997-12-02Yes176 Lbs5 ft11NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Ryan CollinsMonsters (CLB)D241996-05-06Yes212 Lbs6 ft5NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$
Slater KoekkoekMonsters (CLB)D261994-02-18No193 Lbs6 ft2NoNoNo1Pro & Farm800,000$800,000$0$0$NoLien
Sonny MilanoMonsters (CLB)LW/RW241996-05-11No195 Lbs6 ft2NoNoNo1Pro & Farm1,263,333$1,263,333$0$0$NoLien
Tyler BensonMonsters (CLB)LW221998-03-15Yes192 Lbs6 ft0NoNoNo3Pro & Farm863,333$863,333$0$0$No863,333$863,333$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2623.85196 Lbs6 ft22.311,024,913$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Drake CaggiulaKevin StenlundSonny Milano35122
2Rasmus AsplundNicolas RoyCharles Hudon30122
3Tyler BensonMichael McCarronEric Cornel25122
4Paul BittnerDrake Caggiula10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devon ToewsMike Reilly35122
2Mirco MuellerSlater Koekkoek30122
3Brendan GuhleCale Fleury25122
4Gabriel CarlssonDevon Toews10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Drake CaggiulaKevin StenlundSonny Milano60122
2Rasmus AsplundNicolas RoyCharles Hudon40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devon ToewsMike Reilly60122
2Mirco MuellerSlater Koekkoek40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Drake CaggiulaSonny Milano60122
2Kevin StenlundNicolas Roy40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devon ToewsMike Reilly60122
2Mirco MuellerSlater Koekkoek40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Drake Caggiula60122Devon ToewsMike Reilly60122
2Sonny Milano40122Mirco MuellerSlater Koekkoek40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Drake CaggiulaSonny Milano60122
2Kevin StenlundNicolas Roy40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Devon ToewsMike Reilly60122
2Mirco MuellerSlater Koekkoek40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Drake CaggiulaKevin StenlundSonny MilanoDevon ToewsMike Reilly
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Drake CaggiulaKevin StenlundSonny MilanoDevon ToewsMike Reilly
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Tyler Benson, Michael McCarron, Eric CornelTyler Benson, Michael McCarronEric Cornel
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brendan Guhle, Cale Fleury, Gabriel CarlssonBrendan GuhleCale Fleury, Gabriel Carlsson
Tirs de Pénalité
Drake Caggiula, Sonny Milano, Kevin Stenlund, Nicolas Roy, Rasmus Asplund
Gardien
#1 : Oscar Dansk, #2 : Calvin Pickard


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
00N/A0000000000
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 Matchs
WLOTWOTL SOWSOL
000000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
000.00%000.00%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
00000000
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
000.00%000.00%000.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
000000


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



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacité de l'ArénaPopularité de l'Équipe
0 0 - 0.00%0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 2,664,773$ 2,666,548$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

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




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT





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