Moose

GP: 30 | W: 11 | L: 15 | OTL: 4 | P: 26
GF: 169 | GA: 192 | PP%: 41.94% | PK%: 52.07%
DG: Fred Joanis | Morale : 42 | Moyenne d'Équipe : 65
Prochain matchs #353 vs Rampages
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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 McGinnXX97.007742797774819679675466717056557050700
2Stefan NoesenX97.007243767875818970665664717054527951680
3Brendan LeipsicXX99.796241818361807978706056616552516241660
4Janne KuokkanenX96.005741756070609361676358595850507650650
5Remi ElieX100.007142807476749471595057636653527550640
6Tage ThompsonX100.006241806889768972455256606551518050630
7Filip ChytilX100.006041787576687775664555606150508451620
8Owen TippettX100.005540828176724178504052606450508836610
9Noah Juulsen (R)X96.005741817175596975304752795950528040670
Rayé
MOYENNE D'ÉQUIPE98.33644179747572817358525765645251774765
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
Rayé
MOYENNE D'ÉQUIPE0.000000000000000000
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Ron Wilson68696470898070can611500,000$


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 GP 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
1Brock McGinnMoose (WPG)LW/RW30334275-1410044431905412317.37%2669823.29181836391020006812163.16%2665030032.1500000751
2Stefan NoesenMoose (WPG)RW30313263-132352917155578320.00%3068722.91161531291020005791060.00%653627041.8300001531
3Janne KuokkanenMoose (WPG)C30124254-10240303854173022.22%1960120.055263115990002291166.19%7721123001.8000000033
4Remi ElieMoose (WPG)LW30202848-21002324150467713.33%1858019.343144180002271156.18%893322011.6500000304
5Brendan LeipsicMoose (WPG)LW/RW30132538-122153423114346211.40%2056118.72891716730002351072.73%334624001.3500001021
6Filip ChytilMoose (WPG)C30162036-11751622154439310.39%1550716.931122120000100168.52%1622317011.4200001231
7Tage ThompsonMoose (WPG)C30121830-15100283880214615.00%1754418.14510157780006363057.80%372415001.1000000103
8Noah JuulsenMoose (WPG)D2422527-1916015234631274.35%3665927.4721315786000159000.00%0538000.8200000000
9Owen TippettMoose (WPG)RW2713720-780241571172818.31%840815.1464101269000001075.00%121710000.9800000010
Stats d'équipe Total ou en Moyenne261152239391-9313915243243101432056914.99%189524920.1164971611316410002436010463.64%1771225206091.4900003181714
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 Salaire Année 2 Salaire Année 3 Salaire Année 4 Salaire Année 5 Salaire Année 6 Salaire Année 7 Salaire Année 8 Salaire Année 9 Salaire Année 10 Link
Brendan LeipsicMoose (WPG)LW/RW231994-05-19No180 Lbs5 ft10NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Brock McGinnMoose (WPG)LW/RW231994-02-02No185 Lbs6 ft0NoNoNo1Contrat d'EntréePro & Farm887,500$0$0$NoLien
Filip ChytilMoose (WPG)C181999-09-05No202 Lbs6 ft2NoNoNo2Contrat d'EntréePro & Farm925,000$0$0$No925,000$Lien
Janne KuokkanenMoose (WPG)C191998-05-25No188 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm842,500$0$0$No842,500$Lien
Noah JuulsenMoose (WPG)D201997-04-02Yes175 Lbs6 ft2NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Owen TippettMoose (WPG)RW181999-02-16No200 Lbs6 ft1NoNoNo2Contrat d'EntréePro & Farm925,000$0$0$No925,000$Lien
Remi ElieMoose (WPG)LW221995-04-16No210 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm750,000$0$0$NoLien
Stefan NoesenMoose (WPG)RW241993-02-12No205 Lbs6 ft1NoNoNo1Contrat d'EntréePro & Farm1,725,000$0$0$NoLien
Tage ThompsonMoose (WPG)C191997-10-30No205 Lbs6 ft5NoNoNo2Contrat d'EntréePro & Farm925,000$0$0$No925,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
920.67194 Lbs6 ft11.44942,222$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brock McGinnJanne KuokkanenStefan Noesen40122
2Brendan LeipsicTage ThompsonOwen Tippett30122
3Remi ElieFilip Chytil20122
4Stefan NoesenBrock McGinnBrendan Leipsic10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah Juulsen40122
230122
320122
4Noah JuulsenJanne Kuokkanen10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Brock McGinnJanne KuokkanenStefan Noesen60122
2Brendan LeipsicTage ThompsonOwen Tippett40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah Juulsen60122
240122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Brock McGinnStefan Noesen60122
2Brendan LeipsicJanne Kuokkanen40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah Juulsen60122
240122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Brock McGinn60122Noah Juulsen60122
2Stefan Noesen4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Brock McGinnStefan Noesen60122
2Brendan LeipsicJanne Kuokkanen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Noah Juulsen60122
240122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brock McGinnJanne KuokkanenStefan NoesenNoah Juulsen
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Brock McGinnJanne KuokkanenStefan NoesenNoah Juulsen
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Remi Elie, Filip Chytil, Tage ThompsonRemi Elie, Filip ChytilTage Thompson
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Noah Juulsen, , Noah Juulsen,
Tirs de Pénalité
Brock McGinn, Stefan Noesen, Brendan Leipsic, Janne Kuokkanen, Remi Elie
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
1Admirals312000001117-61010000038-52110000089-120.333111829004362640116384373373313152222818422.22%11463.64%037860962.07%33852164.88%42665465.14%666389648233497281
2Blacknight1100000010460000000000011000000104621.00010162600436264044384373373328715135480.00%5180.00%037860962.07%33852164.88%42665465.14%666389648233497281
3Condors1010000037-4000000000001010000037-400.0003690043626404038437337333891014400.00%5340.00%037860962.07%33852164.88%42665465.14%666389648233497281
4Crunch11000000835000000000001100000083521.0008132100436264035384373373334102117457.14%10100.00%037860962.07%33852164.88%42665465.14%666389648233497281
5Gulls31100100221751000010078-121100000159630.500223860004362640144384373373310233174013646.15%6350.00%037860962.07%33852164.88%42665465.14%666389648233497281
6Icedogs640002004032832000100191453200010021183100.83340661060043626402343843733733164365674291655.17%26965.38%037860962.07%33852164.88%42665465.14%666389648233497281
7Penguins1010000019-81010000019-80000000000000.00011200436264030384373373359171016500.00%5420.00%037860962.07%33852164.88%42665465.14%666389648233497281
8Phantoms11000000871110000008710000000000021.0008132100436264045384373373343162711100.00%110.00%037860962.07%33852164.88%42665465.14%666389648233497281
9Rampages302001001118-720100100710-31010000048-410.167111829004362640100384373373311032264016318.75%13746.15%037860962.07%33852164.88%42665465.14%666389648233497281
10Senateurs10100000612-610100000612-60000000000000.000691500436264037384373373351111475360.00%770.00%037860962.07%33852164.88%42665465.14%666389648233497281
11Sound Tigers1010000057-2000000000001010000057-200.00059140043626402738437337334219121244100.00%6516.67%037860962.07%33852164.88%42665465.14%666389648233497281
12Stars30300000932-2320200000720-1310100000212-1000.0009162500436264092384373373314668433318527.78%191236.84%037860962.07%33852164.88%42665465.14%666389648233497281
13Thunderbird1100000011650000000000011000000116521.000111728004362640463843733733321581411872.73%40100.00%037860962.07%33852164.88%42665465.14%666389648233497281
Total30111500400169192-231447003007599-2416780010094931260.4331692834520043626401133384373373311263732613531556541.94%1215852.07%037860962.07%33852164.88%42665465.14%666389648233497281
15Wolves4130000024213211000001711620200000710-320.250244367004362640143384373373314648244419736.84%12283.33%037860962.07%33852164.88%42665465.14%666389648233497281
_Since Last GM Reset30111500400169192-231447003007599-2416780010094931260.4331692834520043626401133384373373311263732613531556541.94%1215852.07%037860962.07%33852164.88%42665465.14%666389648233497281
_Vs Conference2481200400130148-181135003006071-111357001007077-7200.41713022135100436264091338437337338652852132861224536.89%974157.73%037860962.07%33852164.88%42665465.14%666389648233497281
_Vs Division196100030095120-251035002005363-10935001004257-15150.3959516125600436264068538437337336972361712191003535.00%813458.02%037860962.07%33852164.88%42665465.14%666389648233497281

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
3026L11692834521133112637326135300
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
3011150400169192
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
144703007599
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
167801009493
Derniers 10 Matchs
WLOTWOTL SOWSOL
540100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1556541.94%1215852.07%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
38437337334362640
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
37860962.07%33852164.88%42665465.14%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
666389648233497281


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 - 2018-10-104Moose7Icedogs8LXSommaire du Match
4 - 2018-10-1215Wolves8Moose7LSommaire du Match
6 - 2018-10-1423Moose4Wolves5LSommaire du Match
12 - 2018-10-2041Rampages5Moose4LXSommaire du Match
14 - 2018-10-2245Moose4Rampages8LSommaire du Match
16 - 2018-10-2451Moose6Admirals3WSommaire du Match
19 - 2018-10-2764Moose2Stars12LSommaire du Match
20 - 2018-10-2871Wolves3Moose10WSommaire du Match
24 - 2018-11-0191Stars9Moose4LSommaire du Match
26 - 2018-11-03100Moose6Icedogs5WSommaire du Match
29 - 2018-11-06117Admirals8Moose3LSommaire du Match
32 - 2018-11-09135Icedogs5Moose8WSommaire du Match
33 - 2018-11-10140Moose3Wolves5LSommaire du Match
36 - 2018-11-13150Moose5Gulls6LSommaire du Match
39 - 2018-11-16163Gulls8Moose7LXSommaire du Match
41 - 2018-11-18177Moose3Condors7LSommaire du Match
44 - 2018-11-21188Stars11Moose3LSommaire du Match
49 - 2018-11-26204Moose8Icedogs5WSommaire du Match
51 - 2018-11-28212Penguins9Moose1LSommaire du Match
55 - 2018-12-02229Phantoms7Moose8WSommaire du Match
57 - 2018-12-04236Moose10Blacknight4WSommaire du Match
63 - 2018-12-10255Icedogs4Moose7WSommaire du Match
67 - 2018-12-14268Moose10Gulls3WSommaire du Match
69 - 2018-12-16276Moose5Sound Tigers7LSommaire du Match
70 - 2018-12-17284Icedogs5Moose4LXSommaire du Match
74 - 2018-12-21303Rampages5Moose3LSommaire du Match
76 - 2018-12-23313Moose8Crunch3WSommaire du Match
79 - 2018-12-26325Senateurs12Moose6LSommaire du Match
81 - 2018-12-28337Moose11Thunderbird6WSommaire du Match
83 - 2018-12-30343Moose2Admirals6LSommaire du Match
85 - 2019-01-01353Rampages-Moose-
87 - 2019-01-03364Moose-Marlies-
89 - 2019-01-05374Moose-Wolves-
90 - 2019-01-06381Devils-Moose-
95 - 2019-01-11400Condors-Moose-
99 - 2019-01-15417Moose-Monsters-
101 - 2019-01-17424Rocket-Moose-
106 - 2019-01-22444Bears-Moose-
109 - 2019-01-25456Moose-Devils-
111 - 2019-01-27470Crunch-Moose-
114 - 2019-01-30478Moose-Rocket-
117 - 2019-02-02493Marlies-Moose-
121 - 2019-02-06510Moose-Bruins-
124 - 2019-02-09516Moose-Senateurs-
126 - 2019-02-11522Monsters-Moose-
129 - 2019-02-14534Moose-Stars-
130 - 2019-02-15544Sound Tigers-Moose-
134 - 2019-02-19566Thunderbird-Moose-
136 - 2019-02-21574Moose-Phantoms-
138 - 2019-02-23583Moose-Admirals-
140 - 2019-02-25587Moose-Stars-
141 - 2019-02-26597Reigh-Moose-
146 - 2019-03-03612Moose-Condors-
147 - 2019-03-04622Heat-Moose-
151 - 2019-03-08640Gulls-Moose-
155 - 2019-03-12662Blacknight-Moose-
161 - 2019-03-18683Condors-Moose-
163 - 2019-03-20694Moose-Rampages-
165 - 2019-03-22707Bruins-Moose-
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
167 - 2019-03-24715Moose-Bears-
170 - 2019-03-27728Reigh-Moose-
172 - 2019-03-29735Moose-Penguins-
178 - 2019-04-04754Wolves-Moose-
181 - 2019-04-07763Moose-Reigh-
184 - 2019-04-10776Wolves-Moose-
186 - 2019-04-12786Moose-Blacknight-
188 - 2019-04-14797Moose-Barracuda-
191 - 2019-04-17805Stars-Moose-
196 - 2019-04-22827Gulls-Moose-
199 - 2019-04-25836Moose-Icedogs-
201 - 2019-04-27848Blacknight-Moose-
205 - 2019-05-01862Moose-Reigh-
207 - 2019-05-03873Moose-Barracuda-
209 - 2019-05-05878Barracuda-Moose-
212 - 2019-05-08888Moose-Rampages-
215 - 2019-05-11903Heat-Moose-
218 - 2019-05-14916Moose-Heat-
220 - 2019-05-16925Admirals-Moose-
225 - 2019-05-21946Admirals-Moose-
229 - 2019-05-25959Moose-Wolves-
232 - 2019-05-28966Barracuda-Moose-
233 - 2019-05-29972Moose-Heat-



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
27 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
476,302$ 848,000$ 848,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 299,066$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 153 5,688$ 870,264$




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
230111500400169192-231447003007599-2416780010094931261692834520043626401133384373373311263732613531556541.94%1215852.07%037860962.07%33852164.88%42665465.14%666389648233497281
Total Saison Régulière30111500400169192-231447003007599-2416780010094931261692834520043626401133384373373311263732613531556541.94%1215852.07%037860962.07%33852164.88%42665465.14%666389648233497281