MANITOBA Moose
GP: 64 | W: 34 | L: 25 | OTL: 5 | P: 73
GF: 286 | GA: 196 | PP%: 17.36% | PK%: 76.40%
DG: Lucas Giguere | Morale : 99 | Moyenne d'Équipe : 66
Prochain matchs #844 vs SAN ANTONIO Rampage
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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 SPÂgeContratSalaire
1Justin Bailey0X100.006746886389788062596061646269647199690251750,000$
2Jack Roslovic0X100.0059388971757288697568646271656381996902351,500,000$
3Daniel Carr0X100.006242886573807763616464626577695699690282750,000$
4Hudson Fasching0X100.006946816084878958555759615869655799680254750,000$
5Matt Read0X100.005743896268787361565960635984745299670342750,000$
6Reid Boucher0X100.005843896569737563596264616573675299670262750,000$
7Jesper Boqvist (R)0X100.006539876670797364726163676663647699670213750,000$
8Austin Czarnik0XX100.0056418865637776646263635965756848996602711,250,000$
9Vladislav Kamenev0XX100.006139886379746864736259576567647299650244750,000$
10Jansen Harkins0X100.005946886374757362686159606365627299650231750,000$
11Danick Martel0X100.005543846266717360545958615871665999640252750,000$
12Philippe Myers (R)0X100.007748826691807467306859655265635699700233750,000$
13Dante Fabbro0X100.007139756872858365306663675263628399700223750,000$
14Seth Helgeson0X100.007572715590889256305451584578685599680291750,000$
15Adam Boqvist (R)0X100.006339887069767268306661595261628999670203750,000$
16TJ Brennan0X100.006855786281827759306054614579695199670312750,000$
17Ryan Lindgren0X100.006948786573797263306256665063657399660221925,000$
Rayé
1Quinton Howden0XX100.005437806873454558405054635562546399570283750,000$
2Frank Corrado0X100.006345895875787756305452554573675899640271750,000$
3Juuso Valimaki (R)0X100.006135756683656266305653666451508499620212950,000$
MOYENNE D'ÉQUIPE100.00634484647676756249615962586964659966
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
1Philippe Desrosiers100.00717573767069717069717069736899650
Rayé
MOYENNE D'ÉQUIPE100.0071757376706971706971706973689965
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Alain Nasredine (R)72727272717180CAN463400,000$


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
1Seth HelgesonMANITOBA Moose (WPG)D64994103579352568115047976.00%187156924.53471144122000196220.00%000001.3100010258
2Daniel CarrMANITOBA Moose (WPG)LW624848964826010311037312125912.87%74124720.1358134811610131496065.00%10000051.5404000574
3Justin BaileyMANITOBA Moose (WPG)RW64405191472201357437510527010.67%58112217.53761332122000002264.94%7700011.6215000564
4Reid BoucherMANITOBA Moose (WPG)LW644541862016074923286222513.72%79106516.652911451150004875459.21%7600021.6103000348
5Hudson FaschingMANITOBA Moose (WPG)RW6436468221315166782907819812.41%5597715.28561137117000004154.67%7500021.6814001354
6Jesper BoqvistMANITOBA Moose (WPG)C6441307143180601253017819913.62%4476311.9400000000005162.30%88600041.8603000621
7Matt ReadMANITOBA Moose (WPG)RW642838664310032102281811949.96%4378912.33000000002253150.91%5500001.6702000124
8Frank CorradoMANITOBA Moose (WPG)D621155663170014547101327810.89%112112318.1125724103000071100.00%000101.1800000022
9Austin CzarnikMANITOBA Moose (WPG)C/RW6424428-6140751131875214712.83%7468010.6400000000004257.35%74800000.8202000110
10Adam BoqvistMANITOBA Moose (WPG)D2000-120677610.00%54723.890002400003000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne5742824076893033021010528292393662166811.78%731938816.3625416623270310110433321359.99%2017001141.47223011263435
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
1Philippe DesrosiersMANITOBA Moose (WPG)64342550.9272.98387212419226440710.9063264641131
Stats d'équipe Total ou en Moyenne64342550.9272.98387212419226440710.9063264641131


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
Adam BoqvistMANITOBA Moose (WPG)D208/15/2000Yes81 Kg180 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Austin CzarnikMANITOBA Moose (WPG)C/RW2712/12/1992No77 Kg175 CMNoNoNo1Pro & Farm1,250,000$264,831$1,250,000$264,831$0$0$NoLien
Danick MartelMANITOBA Moose (WPG)LW2512/12/1994No84 Kg175 CMNoNoNo2Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$Lien
Daniel CarrMANITOBA Moose (WPG)LW2811/1/1991No88 Kg183 CMNoNoNo2Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$Lien
Dante FabbroMANITOBA Moose (WPG)D226/20/1998No86 Kg183 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Frank CorradoMANITOBA Moose (WPG)D273/26/1993No93 Kg183 CMNoNoNo1Pro & Farm750,000$158,898$750,000$158,898$0$0$NoLien
Hudson FaschingMANITOBA Moose (WPG)RW257/28/1995No93 Kg191 CMNoNoNo4Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$750,000$Lien
Jack RoslovicMANITOBA Moose (WPG)LW231/29/1997No85 Kg185 CMNoNoNo5Pro & Farm1,500,000$317,797$1,500,000$317,797$0$0$No1,500,000$1,500,000$1,500,000$1,500,000$Lien
Jansen HarkinsMANITOBA Moose (WPG)C235/23/1997No83 Kg185 CMNoNoNo1Pro & Farm750,000$158,898$750,000$158,898$0$0$NoLien
Jesper BoqvistMANITOBA Moose (WPG)C2110/30/1998Yes82 Kg183 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Justin BaileyMANITOBA Moose (WPG)RW257/1/1995No97 Kg193 CMNoNoNo1Pro & Farm750,000$158,898$750,000$158,898$0$0$NoLien
Juuso ValimakiMANITOBA Moose (WPG)D2110/6/1998Yes96 Kg188 CMNoNoNo2Pro & Farm950,000$201,271$750,000$158,898$0$0$No950,000$Lien
Matt ReadMANITOBA Moose (WPG)RW346/14/1986No85 Kg178 CMNoNoNo2Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$Lien
Philippe DesrosiersMANITOBA Moose (WPG)G258/16/1995No89 Kg185 CMNoNoNo1Pro & Farm750,000$158,898$750,000$158,898$0$0$NoLien
Philippe MyersMANITOBA Moose (WPG)D231/25/1997Yes95 Kg196 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Quinton HowdenMANITOBA Moose (WPG)C/LW281/21/1992No86 Kg188 CMNoNoNo3Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$
Reid BoucherMANITOBA Moose (WPG)LW269/8/1993No89 Kg178 CMNoNoNo2Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$Lien
Ryan LindgrenMANITOBA Moose (WPG)D222/11/1998No87 Kg183 CMNoNoNo1Pro & Farm925,000$195,975$750,000$158,898$0$0$NoLien
Seth HelgesonMANITOBA Moose (WPG)D2910/8/1990No100 Kg193 CMNoNoNo1Pro & Farm750,000$158,898$750,000$158,898$0$0$NoLien
TJ BrennanMANITOBA Moose (WPG)D314/3/1989No98 Kg185 CMNoNoNo2Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$Lien
Vladislav KamenevMANITOBA Moose (WPG)C/LW248/12/1996No88 Kg188 CMNoNoNo4Pro & Farm750,000$158,898$750,000$158,898$0$0$No750,000$750,000$750,000$Lien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2125.1989 Kg185 CM2.24827,381$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Daniel CarrJustin Bailey31122
2Reid BoucherHudson Fasching26122
3Jesper BoqvistMatt Read23122
4Austin Czarnik20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth Helgeson31122
226122
3Seth Helgeson23122
420122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Daniel CarrJustin Bailey55122
2Reid BoucherHudson Fasching45122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth Helgeson55122
245122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Daniel Carr55122
2Reid Boucher45122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth Helgeson55122
245122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
155122Seth Helgeson55122
24512245122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Daniel Carr55122
2Reid Boucher45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Seth Helgeson55122
245122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Daniel CarrJustin BaileySeth Helgeson
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Daniel CarrJustin BaileySeth Helgeson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Daniel Carr, , Reid Boucher, Justin BaileyMatt Read
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, Justin Bailey, Daniel Carr, Hudson Fasching,
Gardien
#1 : , #2 : Philippe Desrosiers
Lignes d'Attaque Perso. en Prol.
, Justin Bailey, Daniel Carr, Hudson Fasching, , Matt Read, Matt Read, Reid Boucher, , Jesper Boqvist, Austin Czarnik
Lignes de Défense Perso. en Prol.
Seth Helgeson, , , ,


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
1BAKERSFIELD Condors330000001511422000000120121100000031261.00015243902131896242397968258396155158742150.00%40100.00%1692187936.83%677250227.06%362105734.25%140310531783394687323
2BELLEVILLE Senators77000000602139330000002862244000000321517141.0006097157001318962435979682583961293843410413753.85%16568.75%0692187936.83%677250227.06%362105734.25%140310531783394687323
3BINGHAMTON Devils40300010816-82020000037-42010001059-420.25081220001318962411779682583961220544611014214.29%22768.18%0692187936.83%677250227.06%362105734.25%140310531783394687323
4BRIDGEPORT Sound Tigers1010000025-31010000025-30000000000000.000235001318962424796825839615314611400.00%30100.00%0692187936.83%677250227.06%362105734.25%140310531783394687323
5BROOKLYN Wolfpack1100000010371100000010370000000000021.0001016260013189624487968258396124792611100.00%20100.00%0692187936.83%677250227.06%362105734.25%140310531783394687323
6CAROLINA Checkers33000000305251100000012111220000001841461.000305080001318962417379682583961962518363266.67%8187.50%0692187936.83%677250227.06%362105734.25%140310531783394687323
7CHICAGO Wolves40400000513-83030000038-51010000025-300.00058131013189624106796825839611646228667114.29%13376.92%0692187936.83%677250227.06%362105734.25%140310531783394687323
8COLORADO Eagles1010000024-21010000024-20000000000000.00023500131896243379682583961355466116.67%220.00%0692187936.83%677250227.06%362105734.25%140310531783394687323
9GRAND RAPIDS Griffins42100100171251010000034-132000100148650.625172441001318962414179682583961165431686200.00%8362.50%0692187936.83%677250227.06%362105734.25%140310531783394687323
10HERSEY Bears20001001880100010005411000000134-130.75081523001318962472796825839619327832100.00%40100.00%0692187936.83%677250227.06%362105734.25%140310531783394687323
11IOWA Wild1000000123-1000000000001000000123-110.50024600131896243279682583961389220100.00%10100.00%0692187936.83%677250227.06%362105734.25%140310531783394687323
12LAVAL Rocket1010000024-2000000000001010000024-200.000235001318962431796825839614219616400.00%3166.67%0692187936.83%677250227.06%362105734.25%140310531783394687323
13LEHIGH VALLEY Phantoms422000001816232100000131031010000056-140.50018284600131896241067968258396119553208010220.00%10460.00%0692187936.83%677250227.06%362105734.25%140310531783394687323
14MILWAUKEE Admirals2110000057-21010000015-41100000042220.5005712001318962440796825839611032810352150.00%50100.00%0692187936.83%677250227.06%362105734.25%140310531783394687323
15ONTARIO Reign42101000161241000100054132100000118360.75016264200131896241857968258396115950266711327.27%12375.00%0692187936.83%677250227.06%362105734.25%140310531783394687323
16PROVIDENCE Bruins320001001275220000007161000010056-150.833122032011318962481796825839611234264613215.38%30100.00%0692187936.83%677250227.06%362105734.25%140310531783394687323
17ROCKFORD IceHogs1100000010371100000010370000000000021.000101727001318962449796825839613715416100.00%20100.00%0692187936.83%677250227.06%362105734.25%140310531783394687323
18SAN ANTONIO Rampage11000000936000000000001100000093621.00091322001318962437796825839613912417100.00%2150.00%0692187936.83%677250227.06%362105734.25%140310531783394687323
19SAN DIEGO Gulls22000000242221100000012210110000001201241.000243862011318962416379682583961213634300.00%3166.67%0692187936.83%677250227.06%362105734.25%140310531783394687323
20SCRANTON Penguins70600001926-1730200001510-540400000416-1210.07191423001318962416779682583961352102451112400.00%20575.00%0692187936.83%677250227.06%362105734.25%140310531783394687323
21STOCKTON Flames21100000770211000007700000000000020.50071017001318962472796825839618719636100.00%3166.67%0692187936.83%677250227.06%362105734.25%140310531783394687323
22SYRACUSE Crunch1010000004-4000000000001010000004-400.000000001318962422796825839615312219400.00%000.00%0692187936.83%677250227.06%362105734.25%140310531783394687323
23TORONTO Marlies21000010936110000006151000001032141.0009112000131896241167968258396152236495120.00%30100.00%0692187936.83%677250227.06%362105734.25%140310531783394687323
24TUSCON Roadrunners1010000005-5000000000001010000005-500.0000000013189624247968258396145201032400.00%5180.00%0692187936.83%677250227.06%362105734.25%140310531783394687323
25UTICA Comets21100000660110000004131010000025-320.5006814001318962452796825839611012614327114.29%70100.00%0692187936.83%677250227.06%362105734.25%140310531783394687323
Total64302502223286196903216130200115086643214120022213611026730.5702864517371413189624248979682583961264576934411611442517.36%1613876.40%1692187936.83%677250227.06%362105734.25%140310531783394687323
_Since Last GM Reset64302502223286196903216130200115086643214120022213611026730.5702864517371413189624248979682583961264576934411611442517.36%1613876.40%1692187936.83%677250227.06%362105734.25%140310531783394687323
_Vs Conference442019011121871365121910010019157342311900111967917470.53418729748412131896241719796825839611877528251809921819.57%1173272.65%1692187936.83%677250227.06%362105734.25%140310531783394687323
_Vs Division191210001115574-191145000013839-1885001101735-18280.73755881430013189624534796825839619372571343705459.26%611673.77%0692187936.83%677250227.06%362105734.25%140310531783394687323

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
6473L128645173724892645769344116114
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
6430252223286196
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
321613200115086
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
3214120222136110
Derniers 10 Matchs
WLOTWOTL SOWSOL
630001
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
1442517.36%1613876.40%1
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
7968258396113189624
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
692187936.83%677250227.06%362105734.25%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
140310531783394687323


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 - 2021-01-1812SCRANTON Penguins3MANITOBA Moose2LXXSommaire du Match
3 - 2021-01-1922MANITOBA Moose0SCRANTON Penguins2LSommaire du Match
5 - 2021-01-2139BELLEVILLE Senators1MANITOBA Moose6WSommaire du Match
6 - 2021-01-2246MANITOBA Moose9BELLEVILLE Senators5WSommaire du Match
7 - 2021-01-2361MANITOBA Moose1BINGHAMTON Devils6LSommaire du Match
8 - 2021-01-2470MANITOBA Moose3GRAND RAPIDS Griffins4LXSommaire du Match
9 - 2021-01-2579CHICAGO Wolves2MANITOBA Moose0LSommaire du Match
11 - 2021-01-2798MANITOBA Moose4ONTARIO Reign2WSommaire du Match
12 - 2021-01-28102CAROLINA Checkers1MANITOBA Moose12WSommaire du Match
14 - 2021-01-30124PROVIDENCE Bruins1MANITOBA Moose2WSommaire du Match
15 - 2021-01-31128MANITOBA Moose1SCRANTON Penguins4LSommaire du Match
18 - 2021-02-03152LEHIGH VALLEY Phantoms3MANITOBA Moose2LSommaire du Match
19 - 2021-02-04165BINGHAMTON Devils4MANITOBA Moose1LSommaire du Match
20 - 2021-02-05177MANITOBA Moose0SCRANTON Penguins6LSommaire du Match
21 - 2021-02-06187MANITOBA Moose9CAROLINA Checkers3WSommaire du Match
22 - 2021-02-07191MANITOBA Moose8BELLEVILLE Senators6WSommaire du Match
24 - 2021-02-09208STOCKTON Flames1MANITOBA Moose5WSommaire du Match
26 - 2021-02-11228BINGHAMTON Devils3MANITOBA Moose2LSommaire du Match
28 - 2021-02-13243MANITOBA Moose3BAKERSFIELD Condors1WSommaire du Match
29 - 2021-02-14252TORONTO Marlies1MANITOBA Moose6WSommaire du Match
30 - 2021-02-15267MANITOBA Moose6BELLEVILLE Senators1WSommaire du Match
32 - 2021-02-17282BAKERSFIELD Condors0MANITOBA Moose5WSommaire du Match
33 - 2021-02-18293MANITOBA Moose3SCRANTON Penguins4LSommaire du Match
34 - 2021-02-19307ONTARIO Reign4MANITOBA Moose5WXSommaire du Match
36 - 2021-02-21320MANITOBA Moose5PROVIDENCE Bruins6LXSommaire du Match
37 - 2021-02-22331PROVIDENCE Bruins0MANITOBA Moose5WSommaire du Match
39 - 2021-02-24345MANITOBA Moose9BELLEVILLE Senators3WSommaire du Match
40 - 2021-02-25359UTICA Comets1MANITOBA Moose4WSommaire du Match
42 - 2021-02-27370MANITOBA Moose3HERSEY Bears4LXXSommaire du Match
43 - 2021-02-28384BELLEVILLE Senators3MANITOBA Moose13WSommaire du Match
45 - 2021-03-02398CHICAGO Wolves1MANITOBA Moose0LSommaire du Match
47 - 2021-03-04412MANITOBA Moose2CHICAGO Wolves5LSommaire du Match
48 - 2021-03-05424SAN DIEGO Gulls2MANITOBA Moose12WSommaire du Match
50 - 2021-03-07440MANITOBA Moose9SAN ANTONIO Rampage3WSommaire du Match
51 - 2021-03-08450MANITOBA Moose2UTICA Comets5LSommaire du Match
52 - 2021-03-09459STOCKTON Flames6MANITOBA Moose2LSommaire du Match
53 - 2021-03-10476SCRANTON Penguins4MANITOBA Moose2LSommaire du Match
54 - 2021-03-11484MANITOBA Moose9CAROLINA Checkers1WSommaire du Match
56 - 2021-03-13502MANITOBA Moose3ONTARIO Reign5LSommaire du Match
57 - 2021-03-14514CHICAGO Wolves5MANITOBA Moose3LSommaire du Match
59 - 2021-03-16529MANITOBA Moose4ONTARIO Reign1WSommaire du Match
60 - 2021-03-17540BAKERSFIELD Condors0MANITOBA Moose7WSommaire du Match
61 - 2021-03-18552MANITOBA Moose3GRAND RAPIDS Griffins2WSommaire du Match
63 - 2021-03-20564ROCKFORD IceHogs3MANITOBA Moose10WSommaire du Match
64 - 2021-03-21579HERSEY Bears4MANITOBA Moose5WXSommaire du Match
66 - 2021-03-23593MANITOBA Moose12SAN DIEGO Gulls0WSommaire du Match
67 - 2021-03-24610LEHIGH VALLEY Phantoms2MANITOBA Moose5WSommaire du Match
69 - 2021-03-26620MANITOBA Moose5LEHIGH VALLEY Phantoms6LSommaire du Match
70 - 2021-03-27634BELLEVILLE Senators2MANITOBA Moose9WSommaire du Match
72 - 2021-03-29648MANITOBA Moose0TUSCON Roadrunners5LSommaire du Match
73 - 2021-03-30655MANITOBA Moose0SYRACUSE Crunch4LSommaire du Match
74 - 2021-03-31669COLORADO Eagles4MANITOBA Moose2LSommaire du Match
77 - 2021-04-03688BRIDGEPORT Sound Tigers5MANITOBA Moose2LSommaire du Match
78 - 2021-04-04700MANITOBA Moose2LAVAL Rocket4LSommaire du Match
79 - 2021-04-05708MANITOBA Moose8GRAND RAPIDS Griffins2WSommaire du Match
80 - 2021-04-06722SCRANTON Penguins3MANITOBA Moose1LSommaire du Match
81 - 2021-04-07732MANITOBA Moose3TORONTO Marlies2WXXSommaire du Match
82 - 2021-04-08744MANITOBA Moose2IOWA Wild3LXXSommaire du Match
84 - 2021-04-10754MILWAUKEE Admirals5MANITOBA Moose1LSommaire du Match
85 - 2021-04-11766MANITOBA Moose4MILWAUKEE Admirals2WSommaire du Match
87 - 2021-04-13779BROOKLYN Wolfpack3MANITOBA Moose10WSommaire du Match
89 - 2021-04-15799LEHIGH VALLEY Phantoms5MANITOBA Moose6WSommaire du Match
92 - 2021-04-18816MANITOBA Moose4BINGHAMTON Devils3WXXSommaire du Match
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
93 - 2021-04-19825GRAND RAPIDS Griffins4MANITOBA Moose3LSommaire du Match
94 - 2021-04-20844SAN ANTONIO Rampage-MANITOBA Moose-
95 - 2021-04-21853MANITOBA Moose-STOCKTON Flames-
97 - 2021-04-23866MANITOBA Moose-BINGHAMTON Devils-
98 - 2021-04-24878GRAND RAPIDS Griffins-MANITOBA Moose-
99 - 2021-04-25889MANITOBA Moose-COLORADO Eagles-
100 - 2021-04-26900MANITOBA Moose-IOWA Wild-
101 - 2021-04-27909IOWA Wild-MANITOBA Moose-
103 - 2021-04-29925MANITOBA Moose-SYRACUSE Crunch-
104 - 2021-04-30936LAVAL Rocket-MANITOBA Moose-
106 - 2021-05-02953TUSCON Roadrunners-MANITOBA Moose-
108 - 2021-05-04964MANITOBA Moose-ROCKFORD IceHogs-
109 - 2021-05-05974CAROLINA Checkers-MANITOBA Moose-
111 - 2021-05-07995MANITOBA Moose-BRIDGEPORT Sound Tigers-
112 - 2021-05-081003CAROLINA Checkers-MANITOBA Moose-
114 - 2021-05-101019SYRACUSE Crunch-MANITOBA Moose-
116 - 2021-05-121035MANITOBA Moose-BROOKLYN Wolfpack-



Capacité de l'Aréna - Tendance du Prix des Billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des Billets3515
Assistance00
Assistance PCT0.00%0.00%

Revenus
Matchs à domicile RestantsAssistance Moyenne - %Revenus Moyen par MatchRevenus Annuels à ce JourCapacitéPopularité de l'Équipe
8 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,343,469$ 1,737,500$ 1,700,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 1,343,469$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 25 14,725$ 368,125$




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
Saison Régulière
34803926036242381885040211300312124814340181303312114107798238431669048779679256685484184649220761571714892484317.34%3174386.44%21513268456.37%1391252655.07%685119157.51%202314361825561998508
34803926036242381885040211300312124814340181303312114107798238431669048779679256685484184649220761571714892484317.34%3174386.44%21513268456.37%1391252655.07%685119157.51%202314361825561998508
3664302502223286196903216130200115086643214120022213611026732864517371413189624248979682583961264576934411611442517.36%1613876.40%1692187936.83%677250227.06%362105734.25%140310531783394687323
Total Saison Régulière2241087708146117625721901125839026253982481501125038068463643244026976213132075112305247196227621250425072531159705919991778413964011117.34%79512484.40%53718724751.30%3459755445.79%1732343950.36%545139265434151726841340
Séries
341477000003234-2624000001216-485300000201821432599111101093443128151141234411269028456610.71%39489.74%127154549.72%22646948.19%10719953.77%36225335210218595
Total Séries1477000003234-2624000001216-485300000201821432599111101093443128151141234411269028456610.71%39489.74%127154549.72%22646948.19%10719953.77%36225335210218595