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MLB · Prop Lab · Total Bases

MLB Prop Lab

Backtest MLB total bases props against any combination of filters — player, opponent, spread/total, home/away, season — and get the pooled record, units, ROI, and a cumulative P&L. Graded at the book’s real closing line. Every filter you add shrinks the sample and multiplies the ways to find a pattern that won’t repeat, so read the record alongside the ROI. Click a breakdown row for the game-by-game.

League
Stat
Side
Book
Line
Odds
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Record42417-48425
Over %46.7%
Units-9016.7u
ROI-9.9%
Total Bases Over · DraftKings
Break down by
min games
817 players · 100 groups
PlayerRECOver %UnitsROI
athLAWRENCE BUTLERL. BUTLER131-10356%19.8u8.5%
bosROMAN ANTHONYR. ANTHONY40-3355%14.2u19.4%
cinMIGUEL ANDUJARM. ANDUJAR94-9450%11.1u5.9%
cleANGEL MARTÍNEZA. MARTÍNEZ84-7154%10.3u6.6%
wshJUAN YEPEZJ. YEPEZ36-2262%10.0u17.3%
wshJAMES WOODJ. WOOD157-13155%9.9u3.4%
nymCARSON BENGEC. BENGE31-3249%9.3u14.8%
minMATT WALLNERM. WALLNER65-4659%9.1u8.2%
sfCHRISTIAN KOSSC. KOSS21-970%9.0u30.1%
bosCARLOS NARVÁEZC. NARVÁEZ44-2960%8.3u11.3%
azGABRIEL MORENOG. MORENO115-11350%8.0u3.5%
cwsCOLSON MONTGOMERYC. MONTGOMERY36-3352%7.7u11.2%
miaDEREK HILLD. HILL40-2166%7.1u11.6%
kcDREW WATERSD. WATERS31-1765%6.2u13.0%
chcALEXANDER CANARIOA. CANARIO28-1565%6.2u14.3%
seaVICTOR ROBLESV. ROBLES52-3758%6.1u6.8%
ladHYESEONG KIMH. KIM19-773%6.0u23.2%
wshALEX CALLA. CALL47-3160%5.9u7.6%
atlDRAKE BALDWIND. BALDWIN95-9849%5.9u3.0%
tbJONATHAN ARANDAJ. ARANDA110-10152%5.8u2.7%
bosTRISTON CASAST. CASAS51-3162%5.8u7.1%
seaCOLE YOUNGC. YOUNG20-1754%5.3u14.4%
sfTYLER FITZGERALDT. FITZGERALD73-5358%5.2u4.1%
torTYLER HEINEMANT. HEINEMAN16-770%5.1u22.3%
athTYLER SODERSTROMT. SODERSTROM134-12851%5.0u1.9%
laaJACK LÓPEZJ. LÓPEZ12-571%4.7u27.9%
athJOSHUA KURODA-GRAUERJ. KURODA-GRAUER7-464%4.7u42.7%
chcSEIYA SUZUKIS. SUZUKI169-17649%4.7u1.3%
athALIKA WILLIAMSA. WILLIAMS18-1162%4.6u15.7%
nyyJAHMAI JONESJ. JONES14-767%4.5u21.6%
wshDAYLEN LILED. LILE75-8248%4.5u2.9%
pitESMERLYN VALDEZE. VALDEZ11-955%4.4u22.2%
colBRAXTON FULFORDB. FULFORD10-567%4.3u28.5%
torMYLES STRAWM. STRAW25-1169%4.2u11.6%
minKAELEN CULPEPPERK. CULPEPPER3-0100%3.7u124.3%
cwsMUNETAKA MURAKAMIM. MURAKAMI17-1750%3.6u10.6%
cleCHASE DELAUTERC. DELAUTER39-4447%3.5u4.2%
miaAVISAÍL GARCÍAA. GARCÍA10-377%3.5u26.8%
detEDUARDO VALENCIAE. VALENCIA4-267%3.4u56.3%
sfDAVID VILLARD. VILLAR11-569%3.3u20.9%
milERIC HAASEE. HAASE18-1358%3.3u10.7%
tbHUNTER FEDUCCIAH. FEDUCCIA5-183%3.3u54.2%
torDAULTON VARSHOD. VARSHO112-9454%3.1u1.5%
chcPEDRO RAMÍREZP. RAMÍREZ6-555%3.1u28.5%
azTOMMY TROYT. TROY2-0100%2.9u145.5%
milOLIVER DUNNO. DUNN19-1261%2.8u9.2%
nymPETE ALONSOP. ALONSO215-21650%2.6u0.6%
texJARED WALSHJ. WALSH9-564%2.4u17.2%
laaJORDYN ADAMSJ. ADAMS6-275%2.4u30.0%
colTJ RUMFIELDT. RUMFIELD42-4648%2.3u2.6%
texMICHAEL HELMANM. HELMAN4-180%2.3u45.9%
seaJASON VOSLERJ. VOSLER5-271%2.3u32.3%
stlALEC BURLESONA. BURLESON180-19248%2.1u0.6%
pitNICK GONZALESN. GONZALES122-14047%2.1u0.8%
milISAAC COLLINSI. COLLINS34-3053%2.0u3.2%
atlFORREST WALLF. WALL8-373%2.0u18.2%
cwsCHASE MEIDROTHC. MEIDROTH65-6450%1.9u1.5%
stlBRYAN TORRESB. TORRES2-167%1.9u63.3%
sfDREW GILBERTD. GILBERT5-456%1.9u20.8%
tbBRANDON LOWEB. LOWE153-14352%1.7u0.6%
houZACH DEZENZOZ. DEZENZO25-1563%1.6u4.1%
balJAMES MCCANNJ. MCCANN42-3058%1.6u2.2%
tbCHANDLER SIMPSONC. SIMPSON87-10845%1.6u0.8%
colAUSTIN NOLAA. NOLA1-0100%1.6u155.0%
pitONEIL CRUZO. CRUZ136-13151%1.5u0.6%
milJACKSON CHOURIOJ. CHOURIO179-17650%1.5u0.4%
torYOHENDRICK PIÑANGOY. PIÑANGO4-450%1.5u18.4%
pitKONNOR GRIFFINK. GRIFFIN12-1446%1.5u5.6%
nymJARED YOUNGJ. YOUNG8-657%1.4u10.2%
clePETEY HALPINP. HALPIN1-0100%1.4u140.0%
seaLEO RIVASL. RIVAS23-1757%1.4u3.5%
chcPETE CROW-ARMSTRONGP. CROW-ARMSTRONG183-15954%1.4u0.4%
sdEGUY ROSARIOE. ROSARIO6-367%1.4u15.3%
wshSTONE GARRETTS. GARRETT1-0100%1.3u130.0%
milGARRETT MITCHELLG. MITCHELL49-4254%1.2u1.3%
ladGAVIN LUXG. LUX117-9256%1.2u0.6%
chcDAVID BOTED. BOTE5-271%1.2u16.4%
athTOMMY WHITET. WHITE9-1145%1.1u5.4%
cinCONNER CAPELC. CAPEL2-167%1.1u36.3%
milDAZ CAMEROND. CAMERON31-2061%1.1u2.1%
cleDOM NUÑEZD. NUÑEZ1-0100%1.1u105.0%
tbAUSTIN SHENTONA. SHENTON5-456%0.9u9.7%
seaCADE MARLOWEC. MARLOWE1-0100%0.9u87.0%
houSHAY WHITCOMBS. WHITCOMB8-562%0.8u6.4%
stlNATHAN CHURCHN. CHURCH3-350%0.8u13.5%
atlJ.P. MARTÍNEZJ. MARTÍNEZ1-0100%0.8u80.0%
laaSEBASTIÁN RIVEROS. RIVERO1-0100%0.8u76.9%
minDIEGO CASTILLOD. CASTILLO1-0100%0.8u76.9%
torBRANDON VALENZUELAB. VALENZUELA1-0100%0.7u74.1%
tbBOB SEYMOURB. SEYMOUR1-0100%0.7u74.1%
athDENZEL CLARKED. CLARKE16-1257%0.7u2.6%
cinEDWIN RIOSE. RIOS1-0100%0.7u71.4%
nymA.J. EWINGA. EWING13-1645%0.7u2.3%
cwsYOÁN MONCADAY. MONCADA35-2856%0.7u1.1%
pitRAFAEL FLORES JR.R. FLORES JR.1-0100%0.6u64.9%
milJAKE BAUERSJ. BAUERS70-6552%0.6u0.4%
colDREW ROMOD. ROMO7-558%0.6u4.9%
texMATT DUFFYM. DUFFY1-0100%0.6u58.8%
cwsZACH DELOACHZ. DELOACH9-660%0.6u3.9%
torORELVIS MARTINEZO. MARTINEZ1-0100%0.6u57.1%
Cumulative P&L (flat 1u · DraftKings)
-9030-45133units

Each filter you add shrinks the sample and multiplies the ways to find a pattern that won’t repeat. Read the record alongside the ROI — a thin sample moves a long way on one game. Lines/prices are closing numbers; pushes are excluded from the record.