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LHSRSM

Connexion

Moose
GP: 51 | W: 27 | L: 20 | OTL: 4 | P: 58
GF: 256 | GA: 225 | PP%: 19.23% | PK%: 80.52%
DG: Dylan Nadeau | Morale : 50 | Moyenne d’équipe : 61
Prochains matchs #801 vs Thunderbirds
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Centre de jeu
Americans
14-32-4, 32pts
2
FINAL
9 Moose
27-20-4, 58pts
Team Stats
L3StreakL1
5-17-3Home Record13-10-2
9-15-1Away Record14-10-2
2-8-0Last 10 Games4-4-2
4.62Goals Per Game5.02
5.34Goals Against Per Game4.41
25.29%Power Play Percentage19.23%
63.75%Penalty Kill Percentage80.52%
Phantoms
22-27-1, 45pts
6
FINAL
3 Moose
27-20-4, 58pts
Team Stats
W1StreakL1
14-10-0Home Record13-10-2
8-17-1Away Record14-10-2
7-2-1Last 10 Games4-4-2
3.98Goals Per Game5.02
4.28Goals Against Per Game4.41
26.04%Power Play Percentage19.23%
73.15%Penalty Kill Percentage80.52%
Thunderbirds
43-7-0, 86pts
2023-01-30
Moose
27-20-4, 58pts
Statistiques d’équipe
W14SéquenceL1
22-2-0Fiche domicile13-10-2
21-5-0Fiche visiteur14-10-2
10-0-010 derniers matchs4-4-2
6.40Buts par match 5.02
2.78Buts contre par match 4.41
28.05%Pourcentage en avantage numérique19.23%
82.88%Pourcentage en désavantage numérique80.52%
IceHogs
28-18-2, 58pts
2023-02-11
Moose
27-20-4, 58pts
Statistiques d’équipe
W3SéquenceL1
17-9-1Fiche domicile13-10-2
11-9-1Fiche visiteur14-10-2
6-4-010 derniers matchs4-4-2
6.46Buts par match 5.02
5.06Buts contre par match 4.41
29.41%Pourcentage en avantage numérique19.23%
61.73%Pourcentage en désavantage numérique80.52%
Firebirds
6-40-3, 15pts
2023-02-14
Moose
27-20-4, 58pts
Statistiques d’équipe
SOL1SéquenceL1
3-22-1Fiche domicile13-10-2
3-18-2Fiche visiteur14-10-2
2-6-210 derniers matchs4-4-2
3.73Buts par match 5.02
7.41Buts contre par match 4.41
22.67%Pourcentage en avantage numérique19.23%
75.00%Pourcentage en désavantage numérique80.52%
Meneurs d'équipe
Lukas ReichelButs
Lukas Reichel
4
Matt BartkowskiPasses
Matt Bartkowski
11
Matt BartkowskiPoints
Matt Bartkowski
11
Matt BartkowskiPlus/Moins
Matt Bartkowski
4
Garret SparksVictoires
Garret Sparks
17
Garret SparksPourcentage d’arrêts
Garret Sparks
0.916

Statistiques d’équipe
Buts pour
256
5.02 GFG
Tirs pour
2376
46.59 Avg
Pourcentage en avantage numérique
19.2%
15 GF
Début de zone offensive
34.5%
Buts contre
225
4.41 GAA
Tirs contre
2661
52.18 Avg
Pourcentage en désavantage numérique
80.5%
15 GA
Début de la zone défensive
45.8%
Informations de l'équipe

Directeur généralDylan Nadeau
DivisionCentrale
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison300


Informations de la formation

Équipe Pro11
Équipe Mineure21
Limite contact 32 / 250
Espoirs33


Historique d'équipe

Saison actuelle27-20-4 (58PTS)
Historique187-402-22 (0.306%)
Apparitions en séries éliminatoires 0
Historique en séries éliminatoires (W-L)-
Coupe Stanley0


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
1Alex LimogesXX100.00663893657880866164626661656667050640241750,000$
2Hudson FaschingX100.00743994628481856165625862596769050640261750,000$
3Martin KautX100.006739836678857664576263616264650506302211,319,167$
4Paul ThompsonX100.00684562597780655861596057607476050610321650,000$
5Jeremy GregoireXXX100.00647160567380765457555654556769050580261650,000$
6Ryan OlsenX100.00663985527564615357545556526870050580271650,000$
7Jack BadiniXX100.00663889537566745258535254526466050570231815,000$
8Tyler WotherspoonX100.00733584568269805530605259466971050600283700,000$
9Markus PhillipsX100.00663983577566775630555453466365050590221801,667$
Rayé
MOYENNE D’ÉQUIPE100.0068438158777576575358575755676905060
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
1Garret Sparks100.0073707287727173727173726983050630281750,000$
2Pyotr Kochetkov (R)100.0072737284717072717072716369050630222925,000$
Rayé
MOYENNE D’ÉQUIPE100.007372728672717372717372667605063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
1Alex LimogesMoose (WIN)C/LW51526711937607824746513431911.18%76116722.8918935600001494157.72%161300052.04230005134
2Martin KautMoose (WIN)RW516552117422201301814449534214.64%90110921.7660628580003446052.38%8400092.11230001075
3Ryan OlsenMoose (WIN)C513930691710010119533310324611.71%7279515.590221927000004355.55%109100041.7400000337
4Hudson FaschingMoose (WIN)RW17181634134060481415011212.77%3142625.0611214280000352170.00%4000011.6001000233
5Markus PhillipsMoose (WIN)D5152934-3120128487126507.04%9474214.56011323000021100.00%000000.9200000000
6Tyler WotherspoonMoose (WIN)D406202619240942751223311.76%6274418.611121024000133020.00%000000.7000000000
7Jeremy GregoireMoose (WIN)C/LW/RW17915241000215483205210.84%1125414.9600000000033061.70%37600011.8900000221
8Paul ThompsonMoose (WIN)RW175192410100323710631864.72%1325314.9300001000000068.18%2200001.8901000000
9Jack BadiniMoose (WIN)C/LW17101121114062665186815.38%1326315.51000000001120052.38%2100011.5900000002
10Matt BartkowskiJetsD7011114202510145150.00%2215121.590114300004000.00%000001.4600000000
11Lukas ReichelJetsLW94480003202562816.00%121624.070002200000170047.62%10500000.7400000100
12Brandon BiroJetsLW11010002252220.00%01919.480001400000000.00%000001.0300000000
Statistiques d’équipe totales ou en moyenne3292142744881609406808951803512135311.87%485614418.6891423116253000622120757.19%3352000211.5948000232822
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
1Garret SparksMoose (WIN)35171520.9164.6619436015117930301.00053417402
2Pyotr KochetkovMoose (WIN)1710420.9143.5299020586750100.6005170111
Statistiques d’équipe totales ou en moyenne52271940.9154.2829338020924680400.800105117513


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 Plafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Link
Alex LimogesMoose (WIN)C/LW241997-09-16No201 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Garret SparksMoose (WIN)G281993-06-28No220 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Hudson FaschingMoose (WIN)RW261995-07-28No204 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoLien / Lien NHL
Jack BadiniMoose (WIN)C/LW231998-01-19No203 Lbs6 ft0NoNoNo1Pro & Farm815,000$0$0$NoLien / Lien NHL
Jeremy GregoireMoose (WIN)C/LW/RW261995-09-05No193 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Markus PhillipsMoose (WIN)D221999-03-21No202 Lbs6 ft0NoNoNo1Pro & Farm801,667$0$0$NoLien / Lien NHL
Martin KautMoose (WIN)RW221999-10-02No190 Lbs6 ft2NoNoNo1Pro & Farm1,319,167$0$0$NoLien / Lien NHL
Paul ThompsonMoose (WIN)RW321988-11-30No200 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Pyotr KochetkovMoose (WIN)G221999-06-25Yes205 Lbs6 ft3NoNoNo2Pro & Farm925,000$0$0$No925,000$Lien NHL
Ryan OlsenMoose (WIN)C271994-03-25No187 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$NoLien / Lien NHL
Tyler WotherspoonMoose (WIN)D281993-03-12No207 Lbs6 ft2NoNoNo3Pro & Farm700,000$0$0$No762,500$762,500$Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1125.45201 Lbs6 ft11.27796,439$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex LimogesHudson Fasching30122
2Ryan OlsenMartin Kaut30122
3Jack BadiniJeremy GregoirePaul Thompson20122
4Hudson FaschingAlex Limoges20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler WotherspoonMarkus Phillips30122
230122
320122
4Tyler WotherspoonMarkus Phillips20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Alex LimogesHudson Fasching60122
2Ryan OlsenMartin Kaut40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler WotherspoonMarkus Phillips60122
240122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Hudson Fasching60122
2Alex LimogesMartin Kaut40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler WotherspoonMarkus Phillips60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Tyler WotherspoonMarkus Phillips60122
2Hudson Fasching4012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Hudson Fasching60122
2Alex LimogesMartin Kaut40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Tyler WotherspoonMarkus Phillips60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex LimogesHudson FaschingTyler WotherspoonMarkus Phillips
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Alex LimogesHudson FaschingTyler WotherspoonMarkus Phillips
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Paul Thompson, Jeremy Gregoire, Jack BadiniPaul Thompson, Jeremy GregoireJack Badini
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Tyler Wotherspoon, Markus Phillips, Tyler WotherspoonMarkus Phillips,
Tirs de pénalité
, Hudson Fasching, Alex Limoges, Martin Kaut, Paul Thompson
Gardien
#1 : Pyotr Kochetkov, #2 : Garret Sparks


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
1Admirals2200000015871100000010461100000054141.000152439001001005441117738217652789271246100.00%6183.33%0825169048.82%1011224245.09%48996350.78%10307481474339581262
2Americans220000001468110000009271100000054141.0001422360010010054486773821765279533103933100.00%40100.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
3Bears220000001082110000005411100000054141.00010142400100100544717738217652711143651100.00%10100.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
4Bruins1010000037-4000000000001010000037-400.000358001001005443777382176527621822411100.00%110.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
5Canucks330000002982122000000236171100000062461.000294574001001005442587738217652714142872100.00%40100.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
6Checkers11000000642110000006420000000000021.00068140010010054446773821765273794144125.00%20100.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
7Condors1100000011380000000000011000000113821.0001119300010010054477773821765273310422000.00%20100.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
8Crunch11000000312110000003120000000000021.0003470010010054435773821765274410225200.00%10100.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
9Eagles220000001486110000007431100000074341.000141933001001005441477738217652710332657100.00%30100.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
10Firebirds220000001661000000000000220000001661041.000162642001001005441147738217652710025669100.00%30100.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
11Griffins11000000532000000000001100000053221.000591400100100544407738217652745154123133.33%20100.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
12Gulls2020000037-42020000037-40000000000000.00036900100100544557738217652792324385120.00%20100.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
13IceHogs301002001724-71000010078-1201001001016-620.3331729460010010054412377382176527235566662150.00%3166.67%0825169048.82%1011224245.09%48996350.78%10307481474339581262
14Marlies20200000410-61010000015-41010000035-200.0004812001001005444977382176527102441431300.00%5260.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
15Monsters1010000018-71010000018-70000000000000.00012300100100544307738217652780191027300.00%5260.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
16Penguins2020000026-41010000003-31010000023-100.00024600100100544567738217652796331236600.00%5180.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
17Phantoms20200000410-61010000036-31010000014-300.00045900100100544847738217652780308626116.67%3166.67%0825169048.82%1011224245.09%48996350.78%10307481474339581262
18Reign1010000035-2000000000001010000035-200.00035800100100544157738217652756104212150.00%2150.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
19Roadrunners200001107701000010023-11000001054130.750781500100100544627738217652712633651500.00%3166.67%0825169048.82%1011224245.09%48996350.78%10307481474339581262
20Rocket210000011293110000007341000000156-130.750121830001001005441427738217652794276572150.00%20100.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
21Senators21100000121111010000034-11100000097220.5001218300010010054489773821765279215048400.00%000.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
22Silver Knights30300000719-121010000016-520200000613-700.0007132000100100544917738217652718060262600.00%110.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
23Stars320000102113811000000633210000101510561.00021305100100100544170773821765271565366911100.00%3166.67%0825169048.82%1011224245.09%48996350.78%10307481474339581262
24Thunderbirds2020000059-41010000045-11010000014-300.000581300100100544707738217652713952637100.00%30100.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
25Wild21100000862110000005141010000035-220.5008152300100100544707738217652786301057600.00%5180.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
26Wolf Pack1010000039-61010000039-60000000000000.00035800100100544457738217652767174213133.33%2150.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
27Wolves11000000651110000006510000000000021.0006915001001005445677382176527471542511100.00%20100.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
28Wranglers2200000015510110000009271100000063341.000152338001001005441477738217652773234454125.00%20100.00%0825169048.82%1011224245.09%48996350.78%10307481474339581262
Total512520003212562253125131000200124103212612100012113212210580.5692564016570010010054423767738217652726618131701184781519.23%771580.52%0825169048.82%1011224245.09%48996350.78%10307481474339581262
_Since Last GM Reset512520003212562253125131000200124103212612100012113212210580.5692564016570010010054423767738217652726618131701184781519.23%771580.52%0825169048.82%1011224245.09%48996350.78%10307481474339581262
_Vs Conference301780032017712750138300200794930179500120987820410.6831772804570010010054415367738217652715624638671239717.95%43783.72%0825169048.82%1011224245.09%48996350.78%10307481474339581262
_Vs Division1472002108453316400010036211583200110483216180.6438413722100100100544757773821765276752023232919315.79%16287.50%0825169048.82%1011224245.09%48996350.78%10307481474339581262

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
5158L125640165723762661813170118400
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
5125200321256225
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2513100200124103
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2612100121132122
Derniers 10 matchs
WLOTWOTL SOWSOL
440101
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
781519.23%771580.52%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
77382176527100100544
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
825169048.82%1011224245.09%48996350.78%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10307481474339581262


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
8 - 2022-10-1423Wolf Pack9Moose3BLSommaire du match
11 - 2022-10-1746Moose7Stars3AWSommaire du match
13 - 2022-10-1957Moose7Eagles4AWSommaire du match
14 - 2022-10-2070Moose6Silver Knights8ALSommaire du match
16 - 2022-10-2278Marlies5Moose1BLSommaire du match
18 - 2022-10-2495Thunderbirds5Moose4BLSommaire du match
21 - 2022-10-27120Moose3Reign5ALSommaire du match
22 - 2022-10-28126Moose5Roadrunners4AWXXSommaire du match
24 - 2022-10-30143Moose0Silver Knights5ALSommaire du match
28 - 2022-11-03165Rocket3Moose7BWSommaire du match
30 - 2022-11-05177IceHogs8Moose7BLXSommaire du match
33 - 2022-11-08204Stars3Moose6BWSommaire du match
37 - 2022-11-12236Moose6Wranglers3AWSommaire du match
38 - 2022-11-13243Moose7Firebirds1AWSommaire du match
42 - 2022-11-17266Gulls5Moose2BLSommaire du match
44 - 2022-11-19276Penguins3Moose0BLSommaire du match
46 - 2022-11-21294Wolves5Moose6BWSommaire du match
48 - 2022-11-23303Moose3Wild5ALSommaire du match
50 - 2022-11-25330Moose8Stars7AWXXSommaire du match
52 - 2022-11-27342Moose6IceHogs11ALSommaire du match
54 - 2022-11-29357Eagles4Moose7BWSommaire du match
57 - 2022-12-02378Monsters8Moose1BLSommaire du match
59 - 2022-12-04392Gulls2Moose1BLSommaire du match
61 - 2022-12-06408Checkers4Moose6BWSommaire du match
63 - 2022-12-08422Moose1Thunderbirds4ALSommaire du match
64 - 2022-12-09428Moose4IceHogs5ALXSommaire du match
66 - 2022-12-11446Bears4Moose5BWSommaire du match
68 - 2022-12-13462Silver Knights6Moose1BLSommaire du match
70 - 2022-12-15477Admirals4Moose10BWSommaire du match
72 - 2022-12-17495Moose6Canucks2AWSommaire du match
73 - 2022-12-18500Moose9Firebirds5AWSommaire du match
75 - 2022-12-20514Senators4Moose3BLSommaire du match
77 - 2022-12-22529Moose3Bruins7ALSommaire du match
78 - 2022-12-23537Moose5Bears4AWSommaire du match
82 - 2022-12-27552Wild1Moose5BWSommaire du match
84 - 2022-12-29570Canucks3Moose10BWSommaire du match
86 - 2022-12-31588Moose11Condors3AWSommaire du match
89 - 2023-01-03603Wranglers2Moose9BWSommaire du match
92 - 2023-01-06624Crunch1Moose3BWSommaire du match
94 - 2023-01-08638Canucks3Moose13BWSommaire du match
96 - 2023-01-10654Moose5Griffins3AWSommaire du match
98 - 2023-01-12668Moose5Americans4AWSommaire du match
99 - 2023-01-13674Moose2Penguins3ALSommaire du match
101 - 2023-01-15693Roadrunners3Moose2BLXSommaire du match
103 - 2023-01-17708Moose5Rocket6ALXXSommaire du match
105 - 2023-01-19723Moose3Marlies5ALSommaire du match
107 - 2023-01-21738Moose9Senators7AWSommaire du match
108 - 2023-01-22749Moose1Phantoms4ALSommaire du match
110 - 2023-01-24762Moose5Admirals4AWSommaire du match
112 - 2023-01-26774Americans2Moose9BWSommaire du match
114 - 2023-01-28790Phantoms6Moose3BLSommaire du match
116 - 2023-01-30801Thunderbirds-Moose-
128 - 2023-02-11844IceHogs-Moose-
131 - 2023-02-14860Firebirds-Moose-
133 - 2023-02-16872Moose-Monsters-
136 - 2023-02-19900Moose-Comets-
137 - 2023-02-20907Moose-Wolf Pack-
139 - 2023-02-22917Moose-Islanders-
141 - 2023-02-24935Eagles-Moose-
143 - 2023-02-26949Islanders-Moose-
145 - 2023-02-28961Reign-Moose-
148 - 2023-03-03985Moose-Condors-
149 - 2023-03-04995Condors-Moose-
151 - 2023-03-061006Barracuda-Moose-
153 - 2023-03-081022Wild-Moose-
156 - 2023-03-111047Moose-Checkers-
157 - 2023-03-121057Moose-Crunch-
159 - 2023-03-141068Moose-Wolves-
161 - 2023-03-161084Bruins-Moose-
163 - 2023-03-181097Moose-Admirals-
164 - 2023-03-191111Moose-Thunderbirds-
166 - 2023-03-211128Roadrunners-Moose-
168 - 2023-03-231146Moose-Gulls-
170 - 2023-03-251153Moose-Reign-
173 - 2023-03-281185Moose-Barracuda-
176 - 2023-03-311201Griffins-Moose-
178 - 2023-04-021222Comets-Moose-
181 - 2023-04-051240Wranglers-Moose-
184 - 2023-04-081261Admirals-Moose-
186 - 2023-04-101275Barracuda-Moose-
187 - 2023-04-111291Moose-Wild-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
189 - 2023-04-131309Moose-Eagles-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
-16 0 - 0.00% 0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
554,920$ 876,084$ 131,917$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 554,920$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 74 4,635$ 342,990$




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
482116300062185442-2574182700042102207-105413360002083235-15236185332517110775844224707627357224238122497316734595712.42%38511270.91%0817237034.47%960317930.20%404134729.99%14039072594639962411
582175701412241388-1474192601311119184-654183100101122204-8244241402643210101657325610878841826307683745519702205123.18%2096767.94%11115259542.97%822222936.88%600139942.89%196314051989545996494
682333501535314318-441161800322158169-11411717012131561497843145578711201361037133710108310901173351296246621832314419.05%2014975.62%31390295347.07%1329304743.62%633139545.38%1937137720195711009499
78287100102197513-3164163300101106250-144412380000191263-17219197324521100736460266708649188804397139239122141702615.29%1816663.54%0987268936.71%943280833.58%536147436.36%166711622295553968445
882126700120257596-3394183200100128283-1554143500020129313-184292574256821001138260332801152107510834870138026019381603421.25%1064656.60%0993265537.40%952283633.57%590159536.99%163711812359536934421
982314501032297387-9041162300011149183-3441152201021148204-56722975298262401248980323901095106510633926113139318671724425.58%1664374.10%21511291751.80%1474314446.88%666147345.21%178612682160560998476
1082294400315281334-5341191800004156154241102600311125180-55682814677483013086642309110381039994393573101237518701632817.18%1724573.84%21324273848.36%1377329541.79%635139645.49%181012932170555971465
11512520003212562253125131000200124103212612100012113212210582564016570010010054423767738217652726618131701184781519.23%771580.52%0825169048.82%1011224245.09%48996350.78%10307481474339581262
Total Saison régulière6251664020317181920283203-117531295187011081110421533-491313712150271089861670-684410202834375465118230810579394228801811769474835813302538751348314899165329918.09%149744370.41%889622060743.49%88682278038.93%45531104241.23%13237934417063430274223477