Los Angeles Dodgers vs Detroit Tigers Betting Odds & Game Analysis | April 29


By Ed Winchester | April 29, 2022 10:58 AM

The Detroit Tigers visit the Los Angeles Dodgers at Dodger Stadium, taking the field at 10:10pm ET on Friday April 29th, 10:10pm ET. The Detroit Tigers are 1.5-run underdogs in the game, and the Over/Under is set at 8.5 runs.

Welcome to the BestOdds betting breakdown where we identify performance trends in order to analyze teams’ chances in the upcoming game.

Today, we are looking at the Major League Baseball game between the Detroit Tigers and Los Angeles Dodgers.

Los Angeles and Detroit Betting Info

  • Seven of the Dodgers’ last eight games have gone UNDER the total runs line.
  • The Dodgers have won each of their last 12 night games against AL Central opponents.

Detroit Tigers Stats

Season Stats
Team Batting AVG .229
Team OBP .310
AVG Runs Scored 3.2
Team ERA 3.41
Team WHIP 1.19
Starters ERA 4.43
Starters WHIP 1.24

Key Players for Detroit

  • Michael Fulmer: 0.00 ERA, 9.39 K/9, 0.65 WHIP
  • Gregory Soto: 1.50 ERA, 6.00 K/9, 1.50 WHIP
  • Eduardo Rodriguez: 5.03 ERA, 8.24 K/9, 1.27 WHIP
  • Jonathan Schoop: .159 Batting Avg, .205 OBP, .232 SLG, .437 OPS, 5 Runs
  • Tucker Barnhart: .242 Batting Avg, .342 OBP, .273 SLG, .615 OPS, 2 Runs
  • Ednel Báez: .257 Batting Avg, .297 OBP, .486 SLG, .783 OPS, 2 Runs
  • Jeimer Candelario: .143 Batting Avg, .217 OBP, .190 SLG, .407 OPS, 6 Runs
  • Austin Meadows: .304 Batting Avg, .418 OBP, .411 SLG, .829 OPS, 8 Runs
  • Jose Cabrera: .296 Batting Avg, .350 OBP, .333 SLG, .683 OPS, 6 Runs
  • Spencer Torkelson: .200 Batting Avg, .333 OBP, .382 SLG, .715 OPS, 6 Runs
  • Robert Grossman: .327 Batting Avg, .419 OBP, .365 SLG, .784 OPS, 7 Runs
  • Akil Baddoo: .111 Batting Avg, .179 OBP, .222 SLG, .401 OPS, 4 Runs

Los Angeles Dodgers Stats

Season Stats
Team Batting AVG .244
Team OBP .331
AVG Runs Scored 5.0
Team ERA 2.21
Team WHIP 0.90
Starters ERA 2.16
Starters WHIP 0.96

Key Players for Los Angeles

  • Craig Kimbrel: 2.25 ERA, 9.00 K/9, 0.75 WHIP
  • Clayton Kershaw: 2.65 ERA, 12.18 K/9, 0.59 WHIP
  • Daniel Hudson: 1.35 ERA, 10.80 K/9, 0.75 WHIP
  • Justin Turner: .206 Batting Avg, .257 OBP, .254 SLG, .511 OPS, 7 Runs
  • Christopher Taylor: .286 Batting Avg, .364 OBP, .393 SLG, .757 OPS, 5 Runs
  • Cody Bellinger: .227 Batting Avg, .292 OBP, .485 SLG, .777 OPS, 7 Runs
  • Maxwell Muncy: .155 Batting Avg, .347 OBP, .310 SLG, .657 OPS, 7 Runs
  • Trea Turner: .296 Batting Avg, .338 OBP, .423 SLG, .761 OPS, 9 Runs
  • Gavin Lux: .244 Batting Avg, .352 OBP, .378 SLG, .730 OPS, 10 Runs
  • William Smith: .250 Batting Avg, .353 OBP, .455 SLG, .808 OPS, 8 Runs
  • Frederick Freeman: .310 Batting Avg, .383 OBP, .493 SLG, .876 OPS, 13 Runs
  • Markus Betts: .209 Batting Avg, .338 OBP, .328 SLG, .666 OPS, 17 Runs

The Dodgers and Tigers haven’t met since last season on August 20, 2017, where the Detroit Tigers won by a score of 6-1.

MLB Computer Picks For Betting Previews

MLB computer picks are betting recommendations made by an AI computer algorithm with a final check by sports betting analyst.

The AI algorithm considers various data points to come up with its betting prediction. Betting trends, game venue, line-ups, weather, injury, news updates, and a wide range of stats are the factors taken into account when making MLB betting preview computer picks.

A professional sports bettor performs the final check.

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