Moose

GP: 6 | W: 3 | L: 3 | OTL: 0 | P: 6
GF: 21 | GA: 28 | PP%: 64.29% | PK%: 60.71%
DG: Fred Joanis | Morale : 50 | Moyenne d'Équipe : 68
Prochain matchs #87 vs Admirals
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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
1Brock McGinnXX100.008237886372779562576663826169657048700
2Filip ChytilXXX100.005636926882758866736564636660628452700
3Kyle BrodziakX100.007645806381708362805860785685773452700
4Stefan NoesenXX100.008742736178736459626058565971667852670
5Max ComtoisX100.006642896382725861536260585760627852660
6Janne KuokkanenXX100.005636916276796762656156646261637452630
7Remi ElieX100.007236906081736259565857655467647352630
8Juuso ValimakiX100.006539836383797162306458725661638448680
9Gustav ForslingX100.006339826772756266306862645665636852660
Rayé
MOYENNE D'ÉQUIPE100.00693985637975726256626067596765715167
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
1Tristan Jarry100.00798280797877797877797867717552750
Rayé
MOYENNE D'ÉQUIPE100.0079828079787779787779786771755275
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Joe Sacco72827769757075USA502500,000$


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
1Filip ChytilMoose (WPG)C/LW/RW6022-10013911150.00%1589.8200000000000071.74%4643000.6800000100
Stats d'équipe Total ou en Moyenne6022-10013911150.00%1589.8200000000000071.74%4643000.6800000100
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
Stats d'équipe Total ou en Moyenne0.0000.0000.000


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'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Brock McGinnMoose (WPG)LW/RW231994-02-02No187 Lbs6 ft0NoNoNo2Contrat d'EntréePro & Farm2,100,000$0$0$NoLien
Filip ChytilMoose (WPG)C/LW/RW181999-09-05No208 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Gustav ForslingMoose (WPG)D211996-06-12No186 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm925,000$0$0$NoLien
Janne KuokkanenMoose (WPG)C/LW191998-05-25No193 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm842,500$0$0$NoLien
Juuso ValimakiMoose (WPG)D181998-10-06No212 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Kyle BrodziakMoose (WPG)C331984-05-25No205 Lbs6 ft2NoNoNo1Sans RestrictionPro & Farm1,150,000$0$0$NoLien
Max ComtoisMoose (WPG)LW181999-01-08No207 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Remi ElieMoose (WPG)LW221995-04-16No215 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Stefan NoesenMoose (WPG)LW/RW241993-02-12No205 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Tristan JarryMoose (WPG)G221995-04-29No194 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
1021.80201 Lbs6 ft11.10969,250$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
140122
230122
3Filip Chytil20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
140122
230122
320122
410122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
160122
240122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
16012260122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
160122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Filip Chytil, , Filip Chytil,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
Gardien
#1 : , #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
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
1Admirals11000000211110000002110000000000021.000246005510116283146232124132150.00%20100.00%0345858.62%4210141.58%6211155.86%120671415710146
2Icedogs21100000770110000005231010000025-320.500713200055101442831462361112267457.14%6350.00%0345858.62%4210141.58%6211155.86%120671415710146
3Rampages10001000431000000000001000100043121.00048120055101122831462401561333100.00%3233.33%0345858.62%4210141.58%6211155.86%120671415710146
4Stars10100000411-710100000411-70000000000000.00048120055101192831462451682152150.00%11463.64%0345858.62%4210141.58%6211155.86%120671415710146
Total623010002128-7422000001520-52010100068-260.50021416200551011072831462180721167714964.29%281160.71%0345858.62%4210141.58%6211155.86%120671415710146
6Wolves1010000046-21010000046-20000000000000.0004812005510116283146227181210000.00%6266.67%0345858.62%4210141.58%6211155.86%120671415710146
_Since Last GM Reset623010002128-7422000001520-52010100068-260.50021416200551011072831462180721167714964.29%281160.71%0345858.62%4210141.58%6211155.86%120671415710146
_Vs Conference623010002128-7422000001520-52010100068-260.50021416200551011072831462180721167714964.29%281160.71%0345858.62%4210141.58%6211155.86%120671415710146
_Vs Division623010002128-7422000001520-52010100068-260.50021416200551011072831462180721167714964.29%281160.71%0345858.62%4210141.58%6211155.86%120671415710146

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
66W2214162107180721167700
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
62310002128
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
42200001520
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
201100068
Derniers 10 Matchs
WLOTWOTL SOWSOL
231000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
14964.29%281160.71%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
283146255101
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
345858.62%4210141.58%6211155.86%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
120671415710146


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
2 - 2019-10-055Moose4Rampages3WXSommaire du Match
4 - 2019-10-0719Wolves6Moose4LSommaire du Match
6 - 2019-10-0934Stars11Moose4LSommaire du Match
9 - 2019-10-1246Moose2Icedogs5LSommaire du Match
12 - 2019-10-1558Icedogs2Moose5WSommaire du Match
14 - 2019-10-1774Admirals1Moose2WSommaire du Match
16 - 2019-10-1987Moose-Admirals-
18 - 2019-10-2198Rampages-Moose-
20 - 2019-10-23112Moose-Wolves-
22 - 2019-10-25121Moose-Stars-
23 - 2019-10-26130Icedogs-Moose-
26 - 2019-10-29146Moose-Condors-
28 - 2019-10-31154Sound Tigers-Moose-
31 - 2019-11-03171Gulls-Moose-
34 - 2019-11-06186Moose-Heat-
36 - 2019-11-08195Condors-Moose-
39 - 2019-11-11212Moose-Phantoms-
41 - 2019-11-13220Barracuda-Moose-
45 - 2019-11-17240Moose-Rocket-
46 - 2019-11-18247Senateurs-Moose-
50 - 2019-11-22267Bears-Moose-
52 - 2019-11-24281Moose-Thunderbird-
54 - 2019-11-26290Barracuda-Moose-
56 - 2019-11-28299Moose-Reigh-
58 - 2019-11-30315Reigh-Moose-
61 - 2019-12-03329Moose-Gulls-
63 - 2019-12-05338Monsters-Moose-
65 - 2019-12-07351Moose-Senateurs-
67 - 2019-12-09361Moose-Stars-
68 - 2019-12-10366Reigh-Moose-
71 - 2019-12-13382Moose-Gulls-
73 - 2019-12-15389Wolves-Moose-
77 - 2019-12-19412Phantoms-Moose-
80 - 2019-12-22426Moose-Devils-
81 - 2019-12-23436Icedogs-Moose-
84 - 2019-12-26453Moose-Sound Tigers-
85 - 2019-12-27459Condors-Moose-
88 - 2019-12-30477Moose-Sound Tigers-
89 - 2019-12-31483Blacknight-Moose-
94 - 2020-01-05506Penguins-Moose-
96 - 2020-01-07518Moose-Heat-
99 - 2020-01-10530Stars-Moose-
101 - 2020-01-12541Moose-Wolves-
104 - 2020-01-15554Stars-Moose-
106 - 2020-01-17566Moose-Admirals-
108 - 2020-01-19577Moose-Marlies-
109 - 2020-01-20581Blacknight-Moose-
112 - 2020-01-23601Rampages-Moose-
113 - 2020-01-24606Moose-Barracuda-
115 - 2020-01-26611Moose-Condors-
118 - 2020-01-29626Moose-Bears-
119 - 2020-01-30632Bruins-Moose-
122 - 2020-02-02651Devils-Moose-
123 - 2020-02-03658Moose-Penguins-
126 - 2020-02-06672Moose-Icedogs-
127 - 2020-02-07680Admirals-Moose-
129 - 2020-02-09690Moose-Icedogs-
131 - 2020-02-11704Wolves-Moose-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
134 - 2020-02-14716Moose-Reigh-
136 - 2020-02-16727Gulls-Moose-
138 - 2020-02-18740Moose-Wolves-
140 - 2020-02-20747Moose-Stars-
143 - 2020-02-23755Admirals-Moose-
144 - 2020-02-24767Moose-Monsters-
147 - 2020-02-27779Rampages-Moose-
148 - 2020-02-28788Moose-Admirals-
151 - 2020-03-02801Rocket-Moose-
156 - 2020-03-07822Crunch-Moose-
160 - 2020-03-11844Sound Tigers-Moose-
163 - 2020-03-14857Moose-Crunch-
166 - 2020-03-17868Heat-Moose-
167 - 2020-03-18873Moose-Barracuda-
170 - 2020-03-21892Moose-Rampages-
171 - 2020-03-22897Thunderbird-Moose-
174 - 2020-03-25914Heat-Moose-
175 - 2020-03-26923Moose-Blacknight-
178 - 2020-03-29938Marlies-Moose-
180 - 2020-03-31945Moose-Bruins-
182 - 2020-04-02954Moose-Blacknight-
186 - 2020-04-06965Rocket-Moose-
187 - 2020-04-07966Moose-Rampages-
188 - 2020-04-08973Moose-Bruins-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité de l'Aréna20001000
Prix des Billets3515
Assistance00
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
37 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
115,380$ 969,250$ 966,750$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 76,125$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 176 7,692$ 1,353,792$




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
3623010002128-7422000001520-52010100068-2621416200551011072831462180721167714964.29%281160.71%0345858.62%4210141.58%6211155.86%120671415710146
Total Saison Régulière623010002128-7422000001520-52010100068-2621416200551011072831462180721167714964.29%281160.71%0345858.62%4210141.58%6211155.86%120671415710146
Séries
26240000042402303000001620-4321000002620644270112008171702075281731255826079201365.00%301936.67%1619167.03%639864.29%9613173.28%13684132459349
Total Séries6240000042402303000001620-4321000002620644270112008171702075281731255826079201365.00%301936.67%1619167.03%639864.29%9613173.28%13684132459349