Player Props · DraftKings Lines & Edges

June 6, 2026 MLB Total Bases Props

119 lines · Updated Jul 22, 8:36 PM ET

The Almanac's Take

The board is thin today — 119 lines are priced, but zero carry a projection and the top plays list is empty, so there's nothing to single out. The Poisson model hasn't surfaced any edges worth noting, and with `num_with_projection: 0`, the underlying rate estimates are operating without game-specific inputs. Worth flagging for context: the methodology runs low on over edges by design, meaning real overs would tend to look slightly better than reported — but that caveat means little when the model isn't generating signals to begin with. Pass on this market today.

How we model these edges

Model method:
poisson_per_game
Approximation quality:
Approximate
Bias direction:
Model edges on overs are biased low — real overs are slightly better than reported.
Edge definition:
model_over_prob - no_vig(over_implied_prob)
  • ·Poisson approximation under-estimates the tail of total bases; model edges on overs are biased low — real overs are slightly better than reported.
  • ·Integer lines (e.g. line=2.0) are treated as 'over wins on ≥2', which slightly overstates over_prob vs sportsbook push rules. Half-point lines (X.5) — the near-universal case for these markets — are unaffected.
Planned improvement: Replace Poisson tail with ML simulation prop_probs (src/projections/ml/simulation.py) once the sim emits the needed thresholds (TB ≥1/≥4/≥5; full K grid) and the backtest validates calibration improvement.

Total Bases Board

0 of 119 projected
Total Bases prop board sorted by signed model edge (over picks first).
#PlayerLineOdds O/UProjModel %Market %EdgePickConf
1
Adley Rutschman
1.5+138/ −18439%
2
Adrian Del Castillo
1.5+139/ −18539%
3
Alec Bohm
1.5+123/ −16442%
4
Alec Burleson
1.5+113/ −15044%
5
Amed Rosario
1.5+132/ −17640%
6
Andrew Benintendi
1.5+122/ −16242%
7
Andy Pages
1.5−106/ −12548%
8
Austin Martin
1.5+138/ −18439%
9
Ben Rice
1.5+117/ −15543%
10
Bo Bichette
1.5+116/ −15443%
11
Bobby Witt Jr.
1.5+101/ −13446%
12
Brandon Lowe
1.5+135/ −18040%
13
Brandon Marsh
1.5+124/ −16642%
14
Brent Rooker
1.5+130/ −17441%
15
Brice Turang
1.5−132/ −10153%
16
Brooks Lee
1.5+135/ −18040%
17
Bryan Reynolds
1.5+149/ −20038%
18
Bryce Harper
1.5+111/ −14844%
19
Bryson Stott
1.5+139/ −18639%
20
CJ Abrams
1.5+135/ −18040%
21
Cam Smith
1.5+150/ −20137%
22
Carlos Cortes
1.5+126/ −16841%
23
Casey Schmitt
1.5+136/ −18140%
24
Ceddanne Rafaela
1.5+142/ −19039%
25
Chase Meidroth
1.5+140/ −18739%
26
Christian Walker
1.5+108/ −14445%
27
Christian Yelich
1.5−120/ −11051%
28
Cody Bellinger
1.5+119/ −15843%
29
Cole Young
1.5+145/ −19438%
30
Colson Montgomery
1.5+114/ −15144%
31
Corbin Carroll
1.5−128/ −10452%
32
Corey Seager
1.5+118/ −15743%
33
Curtis Mead
1.5+134/ −17940%
34
Dane Myers
1.5+125/ −16642%
35
David Hamilton
1.5+119/ −15843%
36
Daylen Lile
1.5+143/ −19139%
37
Dylan Crews
1.5+139/ −18639%
38
Ernie Clement
1.5+155/ −20837%
39
Eugenio Suarez
1.5+120/ −16042%
40
Ezequiel Tovar
1.5+141/ −18939%
41
Fernando Tatis Jr.
1.5+126/ −16841%
42
Freddie Freeman
1.5+102/ −13546%
43
Gabriel Moreno
1.5+121/ −16142%
44
Garrett Mitchell
1.5−109/ −12149%
45
George Springer
1.5+124/ −16642%
46
Gunnar Henderson
1.5+121/ −16142%
47
Hunter Goodman
1.5+110/ −14645%
48
Ivan Herrera
1.5+101/ −13546%
49
J.P. Crawford
1.5+147/ −19738%
50
J.T. Realmuto
1.5+132/ −17640%
51
JJ Bleday
1.5+140/ −18839%
52
JJ Wetherholt
1.5+106/ −14145%
53
Jac Caglianone
1.5+130/ −17341%
54
Jackson Chourio
2.5+109/ −14545%
55
Jacob Gonzalez
1.5+139/ −18539%
56
Jake Bauers
1.5−110/ −12149%
57
Jake McCarthy
1.5+142/ −19039%
58
James Wood
1.5+107/ −14245%
59
Jarren Duran
1.5+131/ −17540%
60
Jeremy Pena
1.5+113/ −14944%
61
Jonathan Aranda
1.5+109/ −14545%
62
Jordan Walker
1.5−104/ −12848%
63
Jose Altuve
1.5+152/ −20437%
64
Jose Ramirez
1.5+107/ −14245%
65
Josh Bell
1.5+136/ −18140%
66
Josh Jung
1.5+132/ −17640%
67
Josh Naylor
1.5+118/ −15743%
68
Juan Soto
1.5+117/ −15543%
69
Julio Rodriguez
1.5+101/ −13446%
70
Jung Hoo Lee
1.5+139/ −18639%
71
Junior Caminero
1.5−104/ −12748%
72
Ketel Marte
1.5−127/ −10452%
73
Kody Clemens
1.5+114/ −15244%
74
Kyle Schwarber
1.5+104/ −13846%
75
Kyle Tucker
1.5+116/ −15443%
76
Luis Arraez
1.5+125/ −16642%
77
Luis Rengifo
1.5+110/ −14645%
78
Luke Raley
1.5+120/ −15943%
79
Manny Machado
1.5+149/ −20038%
80
Masyn Winn
1.5+135/ −18040%
81
Matt Olson
1.5+132/ −17640%
82
Max Muncy
1.5+114/ −15144%
83
Michael Harris II
1.5+114/ −15144%
84
Miguel Vargas
1.5+115/ −15244%
85
Mookie Betts
1.5+113/ −15144%
86
Nelson Velazquez
1.5+127/ −16941%
87
Nick Gonzales
1.5+141/ −18939%
88
Nick Kurtz
1.5+116/ −15443%
89
Nico Hoerner
1.5+133/ −17740%
90
Nolan Arenado
1.5+118/ −15743%
91
Otto Lopez
1.5+133/ −17840%
92
Paul Goldschmidt
1.5+120/ −15943%
93
Pavin Smith
1.5+137/ −18339%
94
Pete Alonso
1.5+133/ −17740%
95
Pete Crow-Armstrong
1.5+113/ −15044%
96
Randy Arozarena
1.5+127/ −16941%
97
Ronald Acuna Jr.
1.5+131/ −17540%
98
Ryan O'Hearn
1.5+143/ −19238%
99
Sal Frelick
1.5+102/ −13646%
100
Sal Stewart
1.5+101/ −13347%

More for this date

Want the why behind an edge?

Ask The Almanac about a player's matchup, recent form, or pitcher arsenal in chat — same data, deeper context.

Start a conversation →