COL +167 o8.5
PIT -183 u8.5
WAS +163 o9.0
PHI -178 u9.0
HOU +101 o9.5
BAL -109 u9.5
BOS +168 o8.5
NYY -184 u8.5
KC +133 o8.5
DET -144 u8.5
TOR -163 o8.0
MIA +146 u8.0
NYM +104 o8.5
ATL -112 u8.5
STL +126 o9.0
TB -137 u9.0
MIN -132 o8.5
CHW +121 u8.5
CLE +136 o7.5
TEX -148 u7.5
SF +142 o8.5
MIL -155 u8.5
CHC -155 o9.5
LAA +130 u9.5
CIN +120 o9.0
AZ -130 u9.0
LAD -115 o8.0
SD +106 u8.0
ATH +185 o8.0
SEA -225 u8.0
SNLA Spanish, SNLA, NBC Bay Area

San Francisco @ Los Angeles injuries

Dodger Stadium

San Francisco's Injuries

Player POS Status Date Note
No injuries to report.

San Francisco Starters Last Game

Pitchers
POS # Player
RP 57 Ivan Rodriguez
RP 67 Samuel Selman
RP 75 Enderson Franco
RP 61 Burch Smith
RP 65 Samuel Coonrod
RP 74 Jandel Gustave
RP 60 Wandy Peralta
RP 71 Tyler Rogers
Hitters
POS # Player
2B-SS 19 Mauricio Dubon
CF 5 Mike Yastrzemski
C 28 Gerald Posey
C 16 * Aramis Garcia
3B 10 Evan Longoria
PH-LF 8 * Alexander Dickerson
LF 53 Austin Slater
PH-3B 14 * Cristhian Adames
1B 9 Brandon Belt
RF 49 Jaylin Davis
SS 35 Brandon Crawford
SP 40 * Madison Bumgarner
PH 1 * Kevin Pillar
PH 37 Joseph Rickard
2B 7 * Donovan Solano
(* - Change In Order)

Los Angeles's Injuries

Player POS Status Date Note
No injuries to report.

Los Angeles Starters Last Game

(* - Change In Order)

Pages Related to This Topic

About Units and “ROI”

Units are a standardized measurement used to determine the size of each of your bets relative to your bankroll. For example, if you have a bankroll of $200 and you bet 5% of your bankroll each time, each of your units is worth $10. A bettor with a $2000 bankroll who bets 5% per bet has units of $100. We use the number of units to standardize the amount the trend is up or down across different bet amounts.

ROI is the best indicator of success and measures how much you bet vs. how much you profited. Any positive ROI is good in sports betting with great long-term bettors sitting in the 5-7% range.

Sports Betting Bankroll Management and ROI Guide

Weather Forecast

// Scripts for MLB A/B test