Monsters

GP: 8 | W: 6 | L: 2 | OTL: 0 | P: 12
GF: 28 | GA: 19 | PP%: 7.14% | PK%: 86.11%
DG: Patrick Auger | Morale : 55 | Moyenne d'Équipe : 62
Prochain matchs #131 vs Wolf Pack
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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
1Buddy RobinsonX100.008338846099928959666055645775685752640
2Nick CousinsXXX100.008144816469749463736563616471686357640
3Casey Mittelstadt (R)X100.005636916977749068746765526961628757640
4Oscar LindbergX100.008140846378736862726165646375685857630
5Brendan LeipsicXX100.006439856667757665537261596369666157630
6Emil PetterssonX100.005537896073928859676154565769656057610
7Jake Evans (R)X100.005736906072939059686154565765636257610
8Ryan HaggertyXX100.006138866074939159625659585971665957610
9Daniel AudetteX100.005238845864949256635854535665636257590
10Nikita SoshnikovX100.005435936069666358555756595471665157580
11Brayden BurkeX100.005236905954939058615754535663627252580
12Jonah Gadjovich (R)X100.006838845582857954555352565361636457580
13Brian LashoffX100.006236905987836858306053654577694657640
14Ryan SproulX100.007136925887928956305753614671666757640
15Josiah DidierX100.006641765581847854305451564571666058600
16Kyle BurroughsX100.005942735572939152305451534866747158600
17Jeremy RoyX100.006036915673918755305652544663627457600
18Brennan MenellX100.005236906057939159306551544963626357600
19Will O'NeillX100.006244695675797355305751554579715457600
Rayé
1David Kase (R)X100.005336925855837657645954535663626342570
2Max VeronneauX100.005235955772735356525558535667644342560
MOYENNE D'ÉQUIPE100.00623886597385825852595657546866625561
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
1Marcus Hogberg100.00796967917877797877797869736457750
2Eamon McAdam100.00737068747271737271737269735152700
Rayé
1Evan Cormier (R)100.00736967837271737271737263675342700
2Filip Gustavsson100.00717472777069717069717061657542680
MOYENNE D'ÉQUIPE100.0074716981737274737274736670614871
Nom du Coach PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Todd McLellan81757775777173CAN5155,000,000$


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Nom du Joueur Nom de l'ÉquipePOS GP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Oscar LindbergMonsters (Clb)LW86511710012102672123.08%28811.070000110112310.00%000012.4800000200
2Brendan LeipsicMonsters (Clb)C/LW863982012132141728.57%112916.180000210000110120.00%500001.3900000300
3Jake EvansMonsters (Clb)C84487002111811322.22%19812.35000000000140059.74%7700001.6200000010
4Nick CousinsMonsters (Clb)C/LW/RW807781001615214180.00%112715.960005210000100053.90%15400001.1000000000
5Brennan MenellMonsters (Clb)D8077700154010.00%311414.3600000000011000.00%000001.2200000001
6Brian LashoffMonsters (Clb)D8066040575190.00%1217021.36022425011033000.00%000000.7000000010
7Casey MittelstadtMonsters (Clb)C8246-220711289217.14%317922.490113230001350053.33%16500000.6700000001
8Ryan HaggertyMonsters (Clb)C/RW8336-22018102993110.34%314217.861011025000001040.00%500000.8400000021
9Josiah DidierMonsters (Clb)D8145719514141025.00%310513.230002200000000.00%000000.9400001101
10Nikita SoshnikovMonsters (Clb)RW8325820161511420.00%011714.64000421000001033.33%600000.8500000000
11Ryan SproulMonsters (Clb)D82350140109141214.29%819624.62101525000028000.00%000000.5100000000
12Jeremy RoyMonsters (Clb)D8022580348360.00%516520.68000122000024000.00%000000.2400000000
13Kyle BurroughsMonsters (Clb)D80115951546030.00%716620.77000421000026000.00%000000.1200001000
14Daniel AudetteMonsters (Clb)C8011-100010000.00%060.8701104000000066.67%600002.8800000000
15Emil PetterssonMonsters (Clb)C8101-10033102610.00%1638.0000000000001054.72%5300000.3100000000
16Jonah GadjovichMonsters (Clb)LW8011-140514280.00%1637.9900000000000050.00%200000.3100000000
17Will O'NeillMonsters (Clb)D8000020411010.00%1394.920001100003000.00%000000.0000000000
Stats d'équipe Total ou en Moyenne1362853815588101281122144517113.08%52197814.552463921911222016254.12%47300010.8200002644
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
1Marcus HogbergMonsters (Clb)86200.9002.2647900181800010.000080000
Stats d'équipe Total ou en Moyenne86200.9002.2647900181800010.000080000


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Nom du Joueur Nom de l'ÉquipePOS Âge Date de Naissance Nouveau Joueur Poids Taille Non-Échange Disponible pour Échange Ballotage Forcé Contrat StatusType Salaire Actuel Cap Salariale Cap Salariale Restant Exclus du Cap Salarial Link
Brayden BurkeMonsters (Clb)RW221997-01-01No165 Lbs5 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Brendan LeipsicMonsters (Clb)C/LW251994-05-19No182 Lbs5 ft10NoNoNo4Avec RestrictionPro & Farm500,000$0$0$NoLien
Brennan MenellMonsters (Clb)D221997-05-24No177 Lbs5 ft1NoNoNo3Contrat d'EntréePro & Farm300,000$0$0$NoLien
Brian LashoffMonsters (Clb)D281990-07-16No219 Lbs6 ft3NoNoNo3Sans RestrictionPro & Farm300,000$0$0$NoLien
Buddy RobinsonMonsters (Clb)RW271991-09-30No232 Lbs6 ft6NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Casey MittelstadtMonsters (Clb)C201998-11-22Yes202 Lbs6 ft1NoNoNo4Contrat d'EntréePro & Farm900,000$0$0$NoLien
Daniel AudetteMonsters (Clb)C231996-05-06No176 Lbs5 ft8NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
David KaseMonsters (Clb)RW221997-01-28Yes169 Lbs5 ft1NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Eamon McAdamMonsters (Clb)G241994-09-24No200 Lbs6 ft0NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Emil PetterssonMonsters (Clb)C251994-01-14No164 Lbs6 ft2NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Evan CormierMonsters (Clb)G211997-11-06Yes200 Lbs6 ft3NoNoNo4Contrat d'EntréePro & Farm300,000$0$0$NoLien
Filip GustavssonMonsters (Clb)G211998-06-07No184 Lbs6 ft2NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Jake EvansMonsters (Clb)C231996-06-02Yes186 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Jeremy RoyMonsters (Clb)D221997-05-14No195 Lbs6 ft0NoNoNo3Contrat d'EntréePro & Farm500,000$0$0$NoLien
Jonah GadjovichMonsters (Clb)LW201998-12-10Yes209 Lbs6 ft2NoNoNo4Contrat d'EntréePro & Farm500,000$0$0$NoLien
Josiah DidierMonsters (Clb)D261993-04-08No202 Lbs6 ft2NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Kyle BurroughsMonsters (Clb)D231995-07-12No198 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Marcus HogbergMonsters (Clb)G241994-11-25No209 Lbs6 ft5NoNoNo3Avec RestrictionPro & Farm300,000$0$0$NoLien
Max VeronneauMonsters (Clb)RW231995-12-12No190 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Nick CousinsMonsters (Clb)C/LW/RW251993-07-20No185 Lbs5 ft11NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Nikita SoshnikovMonsters (Clb)RW251993-10-14No185 Lbs5 ft11NoNoNo1Avec RestrictionPro & Farm300,000$0$0$NoLien
Oscar LindbergMonsters (Clb)LW271991-10-29No202 Lbs6 ft1NoNoNo2Avec RestrictionPro & Farm500,000$0$0$NoLien
Ryan HaggertyMonsters (Clb)C/RW261993-03-04No200 Lbs6 ft0NoNoNo4Avec RestrictionPro & Farm300,000$0$0$NoLien
Ryan SproulMonsters (Clb)D261993-01-13No205 Lbs6 ft4NoNoNo2Avec RestrictionPro & Farm300,000$0$0$NoLien
Will O'NeillMonsters (Clb)D311988-04-28No190 Lbs6 ft1NoNoNo3Sans RestrictionPro & Farm300,000$0$0$NoLien
Joueurs TotalÂge MoyenPoids MoyenTaille MoyenneContrat MoyenSalaire Moyen 1e Année
2524.04193 Lbs6 ft02.88372,000$



Attaque à 5 contre 5
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Casey MittelstadtRyan Haggerty40122
2Brendan LeipsicNick CousinsNikita Soshnikov30122
3Oscar LindbergJake Evans20122
4Jonah GadjovichEmil Pettersson10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SproulBrian Lashoff40122
2Kyle BurroughsJeremy Roy30122
3Josiah DidierBrennan Menell20122
4Will O'NeillRyan Sproul10122
Attaque en Avantage Numérique
Ligne #Ailier GaucheCentreAilier Droit% TempsPHYDFOF
1Casey MittelstadtRyan Haggerty60122
2Brendan LeipsicNick CousinsNikita Soshnikov40122
Défense en Avantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SproulBrian Lashoff60122
2Kyle BurroughsJeremy Roy40122
Attaque à 4 en Désavantage Numérique
Ligne #CentreAilier% TempsPHYDFOF
1Casey Mittelstadt60122
2Nick CousinsBrendan Leipsic40122
Défense à 4 en Désavantage Numérique
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SproulBrian Lashoff60122
2Kyle BurroughsJeremy Roy40122
3 joueurs en Désavantage Numérique
Ligne #Ailier% TempsPHYDFOFDéfenseDéfense% TempsPHYDFOF
160122Ryan SproulBrian Lashoff60122
2Casey Mittelstadt40122Kyle BurroughsJeremy Roy40122
Attaque à 4 contre 4
Ligne #CentreAilier% TempsPHYDFOF
1Casey Mittelstadt60122
2Nick CousinsBrendan Leipsic40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% TempsPHYDFOF
1Ryan SproulBrian Lashoff60122
2Kyle BurroughsJeremy Roy40122
Attaque Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Casey MittelstadtRyan HaggertyRyan SproulBrian Lashoff
Défense Dernière Minute
Ailier GaucheCentreAilier DroitDéfenseDéfense
Casey MittelstadtRyan HaggertyRyan SproulBrian Lashoff
Attaquants Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Daniel Audette, Oscar Lindberg, Jake EvansDaniel Audette, Oscar LindbergJake Evans
Défenseurs Supplémentaires
Normal Avantage NumériqueDésavantage Numérique
Josiah Didier, Brennan Menell, Will O'NeillJosiah DidierBrennan Menell, Will O'Neill
Tirs de Pénalité
, Casey Mittelstadt, Nick Cousins, Brendan Leipsic, Oscar Lindberg
Gardien
#1 : Marcus Hogberg, #2 :


Astuces sur les Filtres (Anglais seulement)
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
LigueDomicileVisiteur
# VS Équipe GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Devils22000000743110000004311100000031241.0007142100111250546575740441225339222.22%9188.89%011622651.33%9522442.41%6812952.71%199146188519145
2Eagles11000000817110000008170000000000021.0008162400111250386575740193615000.00%30100.00%011622651.33%9522442.41%6812952.71%199146188519145
3Phantoms21100000660110000004221010000024-220.500611171011125053657574045171230700.00%6266.67%111622651.33%9522442.41%6812952.71%199146188519145
4Roadrunners11000000321000000000001100000032121.000369001112502265757402942016300.00%8187.50%011622651.33%9522442.41%6812952.71%199146188519145
5Sound Tigers1010000003-3000000000001010000003-300.000000001112502565757402361013300.00%50100.00%011622651.33%9522442.41%6812952.71%199146188519145
Total8620000028199440000002091142200000810-2120.75028538110111250214657574018152881302827.14%36586.11%111622651.33%9522442.41%6812952.71%199146188519145
7Wolf Pack11000000431110000004310000000000021.00046100011125022657574021101523600.00%5180.00%011622651.33%9522442.41%6812952.71%199146188519145
_Since Last GM Reset8620000028199440000002091142200000810-2120.75028538110111250214657574018152881302827.14%36586.11%111622651.33%9522442.41%6812952.71%199146188519145
_Vs Conference752000002018233000000128442200000810-2100.71420375710111250176657574016249821152827.14%33584.85%111622651.33%9522442.41%6812952.71%199146188519145

Total Pour les Joueurs
Matchs JouésPointsSéquenceButsPassesPointsTirs PourTirs ContreTirs BloquésMinutes de PénalitéMises en ÉchecButs en Filet DésertBlanchissage
812W5285381214181528813010
Tous les Matchs
GPWLOTWOTL SOWSOLGFGA
86200002819
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4400000209
Matchs Éxtérieurs
GPWLOTWOTL SOWSOLGFGA
4220000810
Derniers 10 Matchs
WLOTWOTL SOWSOL
620000
Tentatives en Avantage NumériqueButs en Avantage Numérique% en Avantage NumériqueTentatives en Désavantage NumériqueButs Contre en Désavantage Numérique% en Désavantage NumériqueButs Pour en Désavantage Numérique
2827.14%36586.11%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
6575740111250
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
11622651.33%9522442.41%6812952.71%
Temps Avec la Rondelle
En Zone OffensiveContrôle en Zone OffensiveEn Zone DéfensiveContrôle en Zone DéfensiveEn Zone NeutreContrôle en Zone Neutre
199146188519145


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 - 2019-09-023Monsters2Phantoms4LSommaire du Match
3 - 2019-09-0418Phantoms2Monsters4WSommaire du Match
4 - 2019-09-0533Monsters0Sound Tigers3LSommaire du Match
6 - 2019-09-0744Monsters3Devils1WSommaire du Match
8 - 2019-09-0959Wolf Pack3Monsters4WSommaire du Match
9 - 2019-09-1072Monsters3Roadrunners2WSommaire du Match
11 - 2019-09-1289Devils3Monsters4WSommaire du Match
14 - 2019-09-15110Eagles1Monsters8WSommaire du Match
16 - 2019-09-17131Monsters-Wolf Pack-
18 - 2019-09-19140Sound Tigers-Monsters-



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
1 0 - 0.00% 0$0$3000100

Dépenses
Dépenses Annuelles à Ce JourSalaire Total des JoueursSalaire Total Moyen des JoueursSalaire des Coachs
0$ 93,000$ 27,370$ 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$ 7 0$ 0$




LigueDomicileVisiteur
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