Manitoba Moose

GP: 7 | W: 3 | L: 4
GF: 19 | GA: 20 | PP%: 33.33% | PK%: 83.33%
DG: Lucas Giguere | Morale : 68 | Moyenne d'Équipe : 59
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

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
1Jesperi Kotkaniemi0X100.006535727077829269827266606853519180700
2Jack Roslovic0X100.006035766875749067716865606654518159680
3Vladislav Kamenev0XX100.006435716579716164746362656351507480640
4Justin Bailey0X100.006235676889535567506262526353516980620
5Matt Read0X100.005235666868555668526262536368552680610
6Hudson Fasching0X100.005889696984505069506262516251505880600
7Byron Froese0X100.005489627078505070706363526354514980600
8Connor Brickley0XXX100.005853686475545764505958525953516180590
9Alexandre Grenier0X100.006089616689505066505757505750505380590
10Kristian Vesalainen (R)0X100.005735726585545265505757525750508380590
11Jansen Harkins0X100.005089646774505067505959505950504480580
12Quinton Howden0XX100.005437806873454558405054635562546380570
13Jason Garrison0X100.005935756181735861305360726672572380640
14Juuso Valimaki (R)0X100.006135756683656266305653666451508480620
15TJ Brennan0X100.005789587081505070305045505552516280570
16Seth Helgeson0X100.006489425891465058304641505152514880540
17Frank Corrado0X100.005389695675505056304742505253514743530
18Ryan Lindgren (R)0X100.005335535875475258304541515150507326520
Rayé
1Danick Martel0X100.006135755664675456635757585751504220580
2Reid Boucher0X100.00503569706915070707070507055526074570
3Roman Lyubimov (R)0XX100.005135806776454357334854645462526381570
4Andrey Pedan0X100.006747585087586958304640605751516520570
MOYENNE D'ÉQUIPE100.00585467657954576448575656605451606959
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 Desrosiers100.00746281767373747373736850624376640
2Jean-Francois Berube100.00515669696555586061575564555580540
Rayé
MOYENNE D'ÉQUIPE100.0063597573696466676765625759497859
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Dean Evason68686868767662CAN562325,000$


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
1TJ BrennanManitoba Moose (WPG)D70772100141093120.00%1613319.0401131801108000.00%000001.0500000000
2Connor BrickleyManitoba Moose (WPG)C/LW/RW7336220119328129.38%410214.6601106000290059.09%2200001.1700000001
3Matt ReadManitoba Moose (WPG)RW7246-2401283410315.88%711616.67011390000121054.55%1100001.0300000110
4Hudson FaschingManitoba Moose (WPG)RW7235100911239218.70%18512.2100000000000053.85%1300001.1700000010
5Juuso ValimakiManitoba Moose (WPG)D7415-410018101941021.05%1216223.20303711000011000.00%000000.6200000100
6Kristian VesalainenManitoba Moose (WPG)LW7134-3201312218204.76%59213.1800000000000050.00%400000.8700000000
7Justin BaileyManitoba Moose (WPG)RW7033-3202014284340.00%1413619.5603336000180056.25%1600000.4400000000
8Byron FroeseManitoba Moose (WPG)C7213-12058272147.41%47010.1310121000011058.43%8900000.8500000000
9Jesperi KotkaniemiManitoba Moose (WPG)C221316075134815.38%13919.7111225101131056.90%5800001.5200000000
10Alexandre GrenierManitoba Moose (WPG)RW711202069123108.33%1699.8600000000020057.14%700000.5800000000
11Vladislav KamenevManitoba Moose (WPG)C/LW2022000288360.00%13417.4300035000020071.11%4500001.1500000001
12Jack RoslovicManitoba Moose (WPG)LW20220203513150.00%04120.8602225000140050.00%200000.9600000000
13Jason GarrisonManitoba Moose (WPG)D2101-2002220150.00%74824.291011500003000.00%000000.4100000000
14Jansen HarkinsManitoba Moose (WPG)C7101-1001460116.67%0192.8400000000000054.17%2400001.0100000000
15Frank CorradoManitoba Moose (WPG)D2000200310120.00%03115.660000000000000.00%000000.0000000000
16Seth HelgesonManitoba Moose (WPG)D2000-100513000.00%23919.570000500003000.00%000000.0000000000
17Quinton HowdenManitoba Moose (WPG)C/LW2000-100146040.00%0199.930000000000000.00%000000.0000000000
18Ryan LindgrenManitoba Moose (WPG)D2000200200130.00%23115.910000000000000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne86193150-8420134121256611947.42%77127614.84691526821125723059.11%29100000.7800000222
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)73310.9352.7843120203070100.000070200
Stats d'équipe Total ou en Moyenne73310.9352.7843120203070100.000070200


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
Alexandre GrenierManitoba Moose (WPG)RW271991-09-05No91 Kg196 CMNoNoNo2Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$Lien
Andrey PedanManitoba Moose (WPG)D261993-07-03No97 Kg196 CMNoNoNo0Pro & Farm0$0$NoLien
Byron FroeseManitoba Moose (WPG)C281991-03-12No92 Kg185 CMNoNoNo2Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$Lien
Connor BrickleyManitoba Moose (WPG)C/LW/RW271992-02-25No92 Kg183 CMNoNoNo2Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$Lien
Danick MartelManitoba Moose (WPG)LW241994-12-12No80 Kg173 CMNoNoNo0Pro & Farm0$0$NoLien
Frank CorradoManitoba Moose (WPG)D261993-03-26No93 Kg183 CMNoNoNo3Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$750,000$Lien
Hudson FaschingManitoba Moose (WPG)RW241995-07-28No93 Kg191 CMNoNoNo1Pro & Farm750,000$30,612$750,000$30,612$0$0$NoLien
Jack RoslovicManitoba Moose (WPG)LW221997-01-29No85 Kg185 CMNoNoNo1Pro & Farm750,000$30,612$750,000$30,612$0$0$NoLien
Jansen HarkinsManitoba Moose (WPG)C221997-05-23No83 Kg185 CMNoNoNo1Pro & Farm750,000$30,612$750,000$30,612$0$0$NoLien
Jason GarrisonManitoba Moose (WPG)D341984-11-13No99 Kg185 CMNoNoNo1Pro & Farm750,000$30,612$750,000$30,612$0$0$NoLien
Jean-Francois BerubeManitoba Moose (WPG)G281991-07-13No80 Kg185 CMNoNoNo2Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$
Jesperi KotkaniemiManitoba Moose (WPG)C192000-07-06No84 Kg188 CMNoNoNo2Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$Lien
Justin BaileyManitoba Moose (WPG)RW241995-07-01No97 Kg193 CMNoNoNo3Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$750,000$Lien
Juuso ValimakiManitoba Moose (WPG)D201998-10-06Yes96 Kg188 CMNoNoNo2Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$Lien
Kristian VesalainenManitoba Moose (WPG)LW201999-06-01Yes94 Kg191 CMNoNoNo2Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$Lien
Matt ReadManitoba Moose (WPG)RW331986-06-14No85 Kg178 CMNoNoNo4Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$750,000$750,000$Lien
Philippe DesrosiersManitoba Moose (WPG)G241995-08-16No89 Kg185 CMNoNoNo3Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$750,000$Lien
Quinton HowdenManitoba Moose (WPG)C/LW271992-01-21No86 Kg188 CMNoNoNo5Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$750,000$750,000$750,000$
Reid BoucherManitoba Moose (WPG)LW251993-09-08No89 Kg178 CMNoNoNo1Pro & Farm750,000$30,612$750,000$30,612$0$0$NoLien
Roman LyubimovManitoba Moose (WPG)C/LW271992-01-06Yes94 Kg188 CMNoNoNo1Pro & Farm950,000$38,775$950,000$38,775$0$0$No
Ryan LindgrenManitoba Moose (WPG)D211998-02-11Yes91 Kg183 CMNoNoNo2Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$Lien
Seth HelgesonManitoba Moose (WPG)D281990-10-08No100 Kg193 CMNoNoNo3Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$750,000$Lien
TJ BrennanManitoba Moose (WPG)D301989-04-03No98 Kg185 CMNoNoNo4Pro & Farm750,000$30,612$750,000$30,612$0$0$No750,000$750,000$750,000$Lien
Vladislav KamenevManitoba Moose (WPG)C/LW231996-08-12No88 Kg188 CMNoNoNo1Pro & Farm830,000$33,877$830,000$33,877$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2425.3891 Kg185 CM2.00699,167$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jack RoslovicJesperi KotkaniemiJustin Bailey34122
2Kristian VesalainenVladislav KamenevMatt Read27122
3Connor BrickleyByron FroeseHudson Fasching22122
4Quinton HowdenJansen HarkinsAlexandre Grenier17122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Jason GarrisonJuuso Valimaki46122
2TJ BrennanSeth Helgeson32122
3Seth HelgesonJason Garrison22122
4Juuso ValimakiTJ Brennan0122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Jack RoslovicJesperi KotkaniemiKristian Vesalainen60122
2Connor BrickleyByron FroeseJustin Bailey40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Juuso ValimakiTJ Brennan60122
2TJ BrennanJason Garrison40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Jesperi KotkaniemiMatt Read55122
2Connor BrickleyJustin Bailey0122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
10000
20000
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
100000000
200000000
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Connor BrickleyHudson Fasching55122
2Justin BaileyHudson Fasching45122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Juuso ValimakiJason Garrison55122
2TJ BrennanSeth Helgeson45122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
, , ,
Tirs de Pénalité
, , , ,
Gardien
#1 : , #2 :
Lignes d'Attaque Perso. en Prol.
, , , , , , , , , ,
Lignes de Défense Perso. en Prol.
, , , ,


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
1Syracruse Crunch734000001920-13120000069-3422000001311260.42919325100124302629285778307794614418633.33%18383.33%110428636.36%7827628.26%3010030.00%160117190448038
Total734000001920-13120000069-3422000001311260.42919325100124302629285778307794614418633.33%18383.33%110428636.36%7827628.26%3010030.00%160117190448038
_Since Last GM Reset734000001920-13120000069-3422000001311260.42919325100124302629285778307794614418633.33%18383.33%110428636.36%7827628.26%3010030.00%160117190448038
_Vs Conference734000001920-13120000069-3422000001311260.42919325100124302629285778307794614418633.33%18383.33%110428636.36%7827628.26%3010030.00%160117190448038

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
76L1193251262307794614400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
73400001920
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
312000069
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
42200001311
Derniers 10 Matchs
WLOTWOTL SOWSOL
330100
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
18633.33%18383.33%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
928577812430
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
10428636.36%7827628.26%3010030.00%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
160117190448038


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
1 - 2020-05-083Manitoba Moose3Syracruse Crunch4LXSommaire du Match
3 - 2020-05-1011Manitoba Moose2Syracruse Crunch1WSommaire du Match
5 - 2020-05-1219Syracruse Crunch3Manitoba Moose0LSommaire du Match
7 - 2020-05-1427Syracruse Crunch4Manitoba Moose2LSommaire du Match
9 - 2020-05-1635Manitoba Moose5Syracruse Crunch2WSommaire du Match
11 - 2020-05-1843Syracruse Crunch2Manitoba Moose4WSommaire du Match
13 - 2020-05-2051Manitoba Moose3Syracruse Crunch4LSommaire du Match



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
38 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 1,678,000$ 1,678,000$ 0$
Cap Salarial Par JourCap salarial à ce jourJoueurs Inclut dans la Cap SalarialeJoueurs Exclut dans la Cap Salariale
0$ 0$ 0 0

Éstimation
Revenus de la Saison ÉstimésJours Restants de la SaisonDépenses Par JourDépenses de la Saison Éstimées
0$ 2 0$ 0$




LigueDomicileVisiteur
Année GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Séries
32201280000048480106400000282531064000002023-324488413201181316158318019518820599203203338811316.05%871286.21%037366056.52%38971154.71%15029251.37%471325520151249124
33734000001920-13120000069-34220000013112619325100124302629285778307794614418633.33%18383.33%110428636.36%7827628.26%3010030.00%160117190448038
Total Séries271512000006768-1137600000343401486000003334-1306711618301301719184527228026528906282249482991919.19%1051585.71%147794650.42%46798747.32%18039245.92%632443711195329163