Devils

DG: Jan Mrazek Morale : 46 Moyenne d'Équipe : 58
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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
1Scott GomezXX100.00544181726773706886443959619196044630
2Beau BennettXX100.00724589826974686961424459505960047630
3Cal O'ReillyX100.00634168746270807286414458506567048610
4Daniel ClearyXX100.00757578705753675879383458508992044600
5Rob KlinkhammerXX100.00814866765952696360384160996262044600
6Daniel PailleX100.00654476755656686056383968507478044590
7Jiri SekacXX100.00674466805556696761413959505758047580
8Zac RinaldoXX100.00839958755050676157393961506566045580
9Travis MorinX100.00597162645469666177423759504545048550
10Mike SisloX100.00664467665457666358394259504747047550
11Branden Troock (R)X100.00718064615961625673323160504444047530
12Zach Budish (R)X100.00868476565158565471302860585459047530
13Nick Moutrey (R)XX100.00617663635851605465283257504444047500
14Michal RozsivalX100.00764379737372766925453873509497044670
15Fredrik ClaessonX100.00764589697080886925403774505555047640
16Peter HarroldX100.00716689756680795125393364507366044610
17Andre BenoitX100.00786991716781805225363361506162047610
18Petteri Lindbohm (R)X100.00717772757368705925383870504949051600
19Brad HuntX100.00706589746684835525403462504945047600
Rayé
1Paul ThompsonX100.00597061585466645972373759504444046530
2Trent VogelhuberX100.00597061605468655769323457504444046520
3Chris McKelvieXX100.00586960615362625364292853504444046490
4Mattias Backman (R)X100.00606968725764676725363261505555046560
5Brandon BurlonX100.00567062705868696325343056505555046550
6Corbin McPhersonX100.00598066676369705325252758504646046520
7Jesse Graham (R)X100.00556561585664676125313154504444046510
MOYENNE D'ÉQUIPE100.0067637269606670615237356153585904657
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
1Keith Kinkaid100.0074778279697370717376607668047720
2Jared Coreau100.0077878675766768716681506762047710
Rayé
1Ken Appleby (R)100.0060707570647063686863455555046630
MOYENNE D'ÉQUIPE100.007078817570706770697352666204769
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jacques Martin35333233363218CAN635100,000$


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'Équipe# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Zac RinaldoDevilsDevils (NJD)LW/RW422447513187711.11%218.:.050000002000.00%172001.1100
2Michal RozsivalDevilsDevils (NJD)D41342406861112.50%724.:.260000004000.00%049000.8200
3Fredrik ClaessonDevilsDevils (NJD)D4033300117740.00%923.:.410000116000.00%003000.6300
4Petteri LindbohmDevilsDevils (NJD)D4112010106106410.00%216.:.140001012000.00%003000.6200
5Cal O'ReillyDevilsDevils (NJD)C320242051431014.29%019.:.4700000051062.86%3591000.6700
6Daniel PailleDevilsDevils (NJD)LW401100058460.00%217.:.2300001160066.67%3131000.2900
7Daniel ClearyDevilsDevils (NJD)LW/RW41014007101610.00%318.:.1800000000175.00%431000.2701
8Scott GomezDevilsDevils (NJD)C/LW4011-22027170.00%619.:.1400000020047.69%6560000.2612
9Travis MorinDevilsDevils (NJD)C401105533240.00%116.:.1200000000040.54%3721000.3100
10Jiri SekacDevilsDevils (NJD)LW/RW4000-10056150.00%415.:.47000000100100.00%1120000.0000
11Peter HarroldDevilsDevils (NJD)D4000-10044110.00%420.:.430000003000.00%004000.0000
12Branden TroockDevilsDevils (NJD)RW400000000020.00%001.:.130000000000.00%101000.0000
13Nick MoutreyDevilsDevils (NJD)C/LW4000-10034010.00%011.:.1200000020047.83%2301000.0000
14Beau BennettDevilsDevils (NJD)LW/RW4000-3006167180.00%222.:.5200000000066.67%3142000.0012
15Brad HuntDevilsDevils (NJD)D4000-10016300.00%416.:.120000000000.00%004000.0000
16Mike SisloDevilsDevils (NJD)RW4000-10039420.00%007.:.51000000000100.00%102000.0000
17Zach BudishDevilsDevils (NJD)RW400000012020.00%004.:.050000000000.00%110000.0000
18Andre BenoitDevilsDevils (NJD)D4000-10053400.00%620.:.060000003000.00%015000.0000
19Rob KlinkhammerDevilsDevils (NJD)LW/RW4000-22086250.00%116.:.1500000000050.00%430000.0002
Stats d'équipe Total ou en Moyenne757121943220949114159954.96%53121916.2500012441232391150.28%1797540000.3127103111
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
1Keith KinkaidDevilsDevils (NJD)310296.8%0.9519000395640042.9%731200
2Jared CoreauDevilsDevils (NJD)101089.2%4.00600043719000.0%013000
Stats d'équipe Total ou en Moyenne41120.9471.6825000713283000.429744200


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 POS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Ballotage Forcé Contrat Type Salaire Actuel Salaire RestantSalaire 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
Andre BenoitD3206.01.1984No191 Lbs5 ft11NoNo1Pro & Farm1,200,000$0$Lien
Beau BennettLW/RW2427.11.1991 14:44:29No195 Lbs6 ft2NoNo1Pro & Farm900,000$0$Lien
Brad HuntD2824.08.1988No187 Lbs5 ft9NoNo1Pro & Farm1,100,000$0$Lien
Branden TroockRW2220.03.1994Yes215 Lbs6 ft3NoNo9Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Brandon BurlonD2605.03.1990 0:05:52No190 Lbs6 ft0NoNo6Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$Lien
Cal O'ReillyC3029.09.1986No192 Lbs6 ft0NoNo2Pro & Farm1,100,000$0$1,100,000$Lien
Chris McKelvieC/LW3122.02.1985No190 Lbs5 ft11NoNo5Farm Only100,000$0$100,000$100,000$100,000$100,000$Lien
Corbin McPhersonD2807.09.1988 0:06:44No210 Lbs6 ft4NoNo6Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$Lien
Daniel ClearyLW/RW3718.12.1978No205 Lbs6 ft1NoNo2Pro & Farm1,000,000$0$1,000,000$Lien
Daniel PailleLW3215.04.1984No200 Lbs6 ft1NoNo1Pro & Farm800,000$0$Lien
Fredrik ClaessonD2324.11.1992 1:37:41No209 Lbs6 ft0NoNo2Pro & Farm1,000,000$0$1,000,000$Lien
Jared CoreauG2405.11.1991No235 Lbs6 ft4NoNo8Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Jesse GrahamD2213.05.1994Yes176 Lbs6 ft0NoNo9Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Jiri SekacLW/RW2410.06.1992 0:00:33No195 Lbs6 ft2NoNo1Pro & Farm1,100,000$0$Lien
Keith KinkaidG2704.07.1989No195 Lbs6 ft2NoNo2Pro & Farm1,500,000$0$1,500,000$Lien
Ken ApplebyG2110.04.1995 17:31:38Yes205 Lbs6 ft4NoNo9Pro & Farm100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Mattias BackmanD2403.10.1992Yes181 Lbs6 ft2NoNo10Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Michal RozsivalD3803.09.1978No210 Lbs6 ft1NoNo2Pro & Farm1,200,000$0$1,200,000$Lien
Mike SisloRW2820.01.1988No195 Lbs5 ft11NoNo1Pro & Farm1,100,000$0$Lien
Nick MoutreyC/LW2123.06.1995Yes208 Lbs6 ft2NoNo10Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Paul ThompsonRW2730.11.1988No198 Lbs5 ft11NoNo2Pro & Farm500,000$0$500,000$Lien
Peter HarroldD3308.06.1983No180 Lbs5 ft11NoNo1Pro & Farm800,000$0$Lien
Petteri LindbohmD2323.09.1993 0:17:42Yes198 Lbs6 ft3NoNo2Pro & Farm800,000$0$800,000$Lien
Rob KlinkhammerLW/RW3012.08.1986No214 Lbs6 ft3NoNo1Pro & Farm800,000$0$Lien
Scott GomezC/LW3623.12.1979No200 Lbs5 ft11NoNo1Pro & Farm1,700,000$0$Lien
Travis MorinC3209.01.1984No190 Lbs6 ft1NoNo5Farm Only100,000$0$100,000$100,000$100,000$100,000$Lien
Trent VogelhuberRW2813.07.1988 4:15:25No185 Lbs6 ft2NoNo7Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$Lien
Zac RinaldoLW/RW2615.06.1990No169 Lbs5 ft11NoNo2Pro & Farm900,000$0$900,000$Lien
Zach BudishRW2509.05.1991 11:34:15Yes223 Lbs6 ft3NoNo7Farm Only100,000$0$100,000$100,000$100,000$100,000$100,000$100,000$
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2927.66198 Lbs6 ft14644,828$



Attaque à 5 contre 5
Ligne #CentreAilier GaucheAilier Droit% TempsPHYDFOF
1Scott GomezBeau BennettRob Klinkhammer40122
2Cal O'ReillyDaniel ClearyZac Rinaldo30122
3Travis MorinDaniel PailleJiri Sekac20122
4Nick MoutreyBeau BennettMike Sislo10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Michal RozsivalFredrik Claesson40122
2Peter HarroldAndre Benoit30122
3Brad HuntPetteri Lindbohm20122
4Michal RozsivalFredrik Claesson10122
Attaque en Avantage Numérique
Ligne #CentreAilier GaucheAilier Droit% TempsPHYDFOF
1Scott GomezBeau BennettRob Klinkhammer60023
2Travis MorinDaniel ClearyZac Rinaldo40023
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Cal O'ReillyFredrik Claesson60023
2Michal RozsivalAndre Benoit40023
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Cal O'ReillyDaniel Paille60113
2Scott GomezZac Rinaldo40113
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Michal RozsivalFredrik Claesson60230
2Peter HarroldAndre Benoit40230
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
1Scott Gomez60140Michal RozsivalFredrik Claesson60230
2Cal O'Reilly40140Peter HarroldAndre Benoit40230
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Scott GomezBeau Bennett60122
2Rob KlinkhammerDaniel Cleary40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Michal RozsivalFredrik Claesson60122
2Peter HarroldAndre Benoit40122
Attaque Dernière Minute
CentreAilier GaucheAilier DroitDéfenseDéfense
Scott GomezBeau BennettRob KlinkhammerMichal RozsivalFredrik Claesson
Défense Dernière Minute
CentreAilier GaucheAilier DroitDéfenseDéfense
Scott GomezBeau BennettRob KlinkhammerMichal RozsivalFredrik Claesson
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Zach Budish, Branden Troock, Daniel PailleZach Budish, Branden TroockDaniel Paille
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Brad Hunt, Petteri Lindbohm, Peter HarroldBrad HuntPetteri Lindbohm, Peter Harrold
Tirs de Pénalité
Scott Gomez, Beau Bennett, Rob Klinkhammer, Daniel Cleary, Daniel Paille
Gardien
#1 : Keith Kinkaid, #2 : Jared Coreau


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
# VS Équipe 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 GF% SH% SV% PDO PDOBRK
1DevilsCrunch1000000112-110.5001230021422941524784117521100.00%000.00%0316547.69%386955.07%214546.67%966388326532
2DevilsRampage1010000014-300.00012300214234415247837171123200.00%3166.67%1316547.69%386955.07%214546.67%966388326532
3DevilsAdmirals1000000112-110.50012300214234415247835101121200.00%30100.00%0316547.69%386955.07%214546.67%966388326532
4DevilsComets1100000041321.0004610002142444152478199529000.00%000.00%0316547.69%386955.07%214546.67%966388326532
Vs Division2010000126-410.25024600214263415247878341644300.00%3166.67%1316547.69%386955.07%214546.67%966388326532
Vs Conference3010000238-520.333369002142974152478113442765500.00%6183.33%1316547.69%386955.07%214546.67%966388326532
Since Last GM Reset4110000279-240.500712190021421414152478132533294500.00%6183.33%1316547.69%386955.07%214546.67%966388326532
Total4110000279-240.500712190021421414152478132533294500.00%6183.33%1316547.69%386955.07%214546.67%966388326532

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
44SOL17121914113253329400
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
411000279
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
210000153
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
201000126
Derniers 10 Matchs
WLOTWOTL SOWSOL
110002
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
500.00%6183.33%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
41524782142
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
316547.69%386955.07%214546.67%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
966388326532


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
DateMatchup Result Detail
Date Limite d'Échange --- Les échange ne peuvent plus se faire après la simulation de cette journée!
Fri, Nov 22Devils@DevilsCrunch2,Devils1 (SO)RECAP
Sat, Nov 23Devils@DevilsComets1,Devils4RECAP
Tue, Nov 26Devils@DevilsDevils1,Rampage4RECAP
Wed, Nov 27Devils@DevilsDevils1,Admirals2 (SO)RECAP



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
0 0 - 0.00% 0$0$3000100

Dépenses
Salaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
1,870,000$ 920,000$ 0$
Dépenses Annuelles à Ce JourCap Salarial Par JourCap salarial à ce jour
0$ 0$ 0$

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