Detroit Tigers vs Tampa Bay Rays Betting Odds & Game Analysis | August 4


By Claudio Fortuna | August 4, 2022 1:02 PM

The Tampa Bay Rays visit the Detroit Tigers at Comerica Park, taking the field at 7:10pm ET on Thursday August 4th, 7:10pm 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 Tampa Bay Rays and Detroit Tigers.

Detroit and Tampa Bay Betting Info

  • The Tigers have lost each of their last 11 Thursday night games against teams that held a winning record.
  • Each of the Tigers’ last seven games have gone UNDER the total runs line.

Tampa Bay Rays Stats

Season Stats
Team Batting AVG .238
Team OBP .306
AVG Runs Scored 4.1
Team ERA 3.43
Team WHIP 1.16
Starters ERA 3.47
Starters WHIP 1.14

Key Players for Tampa Bay

  • Corey Kluber: 4.03 ERA, 8.06 K/9, 1.15 WHIP
  • Brooks Raley: 2.70 ERA, 11.88 K/9, 0.99 WHIP
  • Ralph Garza Jr.: 3.44 ERA, 4.50 K/9, 1.53 WHIP
  • Christian Bethancourt: .143 Batting Avg, .172 OBP, .250 SLG, .422 OPS, 2 Runs
  • Yandy Díaz: .286 Batting Avg, .395 OBP, .398 SLG, .793 OPS, 45 Runs
  • Taylor Walls: .173 Batting Avg, .257 OBP, .288 SLG, .545 OPS, 31 Runs
  • Lucas Raley: .200 Batting Avg, .315 OBP, .311 SLG, .626 OPS, 7 Runs
  • Randy Arozarena: .251 Batting Avg, .312 OBP, .414 SLG, .726 OPS, 44 Runs
  • Ji-Man Choi: .254 Batting Avg, .351 OBP, .410 SLG, .761 OPS, 27 Runs
  • Senger Peralta: .273 Batting Avg, .273 OBP, .273 SLG, .546 OPS, 0 Runs
  • Brandon Lowe: .243 Batting Avg, .314 OBP, .444 SLG, .758 OPS, 26 Runs

Detroit Tigers Stats

Season Stats
Team Batting AVG .226
Team OBP .285
AVG Runs Scored 3.2
Team ERA 4.04
Team WHIP 1.27
Starters ERA 4.86
Starters WHIP 1.33

Key Players for Detroit

  • Derek Law: 4.50 ERA, 9.00 K/9, 2.50 WHIP
  • Gregory Soto: 2.19 ERA, 9.24 K/9, 1.14 WHIP
  • Garrett Hill: 5.89 ERA, 3.81 K/9, 1.35 WHIP
  • Jonathan Schoop: .207 Batting Avg, .244 OBP, .311 SLG, .555 OPS, 36 Runs
  • Tucker Barnhart: .202 Batting Avg, .265 OBP, .234 SLG, .499 OPS, 8 Runs
  • Ednel Báez: .221 Batting Avg, .265 OBP, .379 SLG, .644 OPS, 38 Runs
  • Jeimer Candelario: .205 Batting Avg, .268 OBP, .361 SLG, .629 OPS, 33 Runs
  • Riley Greene: .241 Batting Avg, .308 OBP, .343 SLG, .651 OPS, 21 Runs
  • Victor Reyes: .276 Batting Avg, .302 OBP, .368 SLG, .670 OPS, 11 Runs
  • Harold Castro: .284 Batting Avg, .315 OBP, .403 SLG, .718 OPS, 23 Runs
  • Jose Cabrera: .271 Batting Avg, .321 OBP, .336 SLG, .657 OPS, 23 Runs
  • Akil Baddoo: .143 Batting Avg, .217 OBP, .190 SLG, .407 OPS, 7 Runs

The Tigers and Rays have met three times this season, with the Tigers winning once and the Rays winning twice. Their most recent matchup on May 18, 2022 ended 6-1 with the Tampa Bay Rays taking the win.

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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