Tampa Bay Rays vs Minnesota Twins Betting Odds & Game Analysis | April 29


By Ed Winchester | April 29, 2022 11:01 AM

The Minnesota Twins visit the Tampa Bay Rays at Tropicana Field, taking the field at 7:10pm ET on Friday April 29th, 7:10pm ET. The Minnesota Twins are 1-run underdogs in the game, and the Over/Under is set at 7.5 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 Minnesota Twins and Tampa Bay Rays.

Tampa Bay and Minnesota Betting Info

  • The Rays have lost each of their last eight night games against American League opponents following a win.
  • Nineteen of the last 22 games between the Twins and Rays at Tropicana Field have gone OVER the total runs line.

Minnesota Twins Stats

Season Stats
Team Batting AVG .225
Team OBP .314
AVG Runs Scored 3.9
Team ERA 3.11
Team WHIP 1.18
Starters ERA 2.39
Starters WHIP 1.01

Key Players for Minnesota

  • Jhoan Duran: 4.00 ERA, 15.00 K/9, 1.11 WHIP
  • Emilio Pagán: 3.18 ERA, 11.12 K/9, 1.59 WHIP
  • Joseph Ryan: 1.17 ERA, 9.78 K/9, 0.70 WHIP
  • Miguel Sanó: .096 Batting Avg, .226 OBP, .154 SLG, .380 OPS, 1 Run
  • Ryan Jeffers: .196 Batting Avg, .275 OBP, .391 SLG, .666 OPS, 5 Runs
  • Jorge Polanco: .188 Batting Avg, .316 OBP, .313 SLG, .629 OPS, 7 Runs
  • Byron Buxton: .289 Batting Avg, .347 OBP, .778 SLG, 1.125 OPS, 10 Runs
  • Giovanny Urshela: .321 Batting Avg, .393 OBP, .377 SLG, .770 OPS, 8 Runs
  • Gary Sánchez: .216 Batting Avg, .275 OBP, .378 SLG, .653 OPS, 2 Runs
  • Trevor Larnach: .286 Batting Avg, .326 OBP, .405 SLG, .731 OPS, 5 Runs
  • Maximilian Kepler: .246 Batting Avg, .370 OBP, .475 SLG, .845 OPS, 7 Runs
  • Carlos Correa: .200 Batting Avg, .278 OBP, .292 SLG, .570 OPS, 7 Runs

Tampa Bay Rays Stats

Season Stats
Team Batting AVG .245
Team OBP .322
AVG Runs Scored 4.2
Team ERA 3.09
Team WHIP 1.10
Starters ERA 3.44
Starters WHIP 1.19

Key Players for Tampa Bay

  • Shane McClanahan: 2.46 ERA, 12.68 K/9, 0.95 WHIP
  • Andrew Kittredge: 1.93 ERA, 8.68 K/9, 0.64 WHIP
  • Yandy Díaz: .294 Batting Avg, .438 OBP, .392 SLG, .830 OPS, 7 Runs
  • Michael Zunino: .083 Batting Avg, .128 OBP, .111 SLG, .239 OPS, 1 Run
  • Manuel Margot: .275 Batting Avg, .362 OBP, .294 SLG, .656 OPS, 2 Runs
  • Wander Samuel Franco: .307 Batting Avg, .329 OBP, .587 SLG, .916 OPS, 13 Runs
  • Randy Arozarena: .200 Batting Avg, .233 OBP, .286 SLG, .519 OPS, 9 Runs
  • Ji-Man Choi: .357 Batting Avg, .491 OBP, .595 SLG, 1.086 OPS, 7 Runs
  • Kevin Kiermaier: .209 Batting Avg, .292 OBP, .395 SLG, .687 OPS, 6 Runs
  • Brandon Lowe: .183 Batting Avg, .263 OBP, .324 SLG, .587 OPS, 11 Runs
  • Harold Ramirez: .357 Batting Avg, .441 OBP, .464 SLG, .905 OPS, 5 Runs

The Rays and Twins haven’t met since last season on September 5, 2021, where the Minnesota Twins won by a score of 6-5.

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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