Tampa Bay Rays vs Chicago White Sox Betting Odds & Game Analysis | June 3


By Claudio Fortuna | June 3, 2022 10:49 AM

The Chicago White Sox visit the Tampa Bay Rays at Tropicana Field, taking the field at 7:10pm ET on Friday June 3rd, 7:10pm ET. The Chicago White Sox are 1.5-run underdogs in the game, and the Over/Under is set at 7 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 Chicago White Sox and Tampa Bay Rays.

Tampa Bay and Chicago Betting Info

  • Each of the White Sox’s last four games have gone OVER the total runs line.
  • The White Sox have won each of their last five night games against the Rays following a loss.

Chicago White Sox Stats

Season Stats
Team Batting AVG .235
Team OBP .291
AVG Runs Scored 3.6
Team ERA 4.19
Team WHIP 1.40
Starters ERA 4.17
Starters WHIP 1.39

Key Players for Chicago

  • Liam Hendriks: 3.32 ERA, 13.71 K/9, 1.29 WHIP
  • James Lambert: 5.14 ERA, 9.00 K/9, 1.71 WHIP
  • Tanner Banks: 4.79 ERA, 7.84 K/9, 1.50 WHIP
  • Allen Pollock: .226 Batting Avg, .254 OBP, .365 SLG, .619 OPS, 14 Runs
  • Daniel Mendick: .324 Batting Avg, .361 OBP, .500 SLG, .861 OPS, 7 Runs
  • Yasmani Grandal: .160 Batting Avg, .270 OBP, .213 SLG, .483 OPS, 6 Runs
  • Andrew Vaughn: .274 Batting Avg, .326 OBP, .479 SLG, .805 OPS, 13 Runs
  • Yoán Moncada: .138 Batting Avg, .176 OBP, .246 SLG, .422 OPS, 4 Runs
  • Luis Robert: .290 Batting Avg, .322 OBP, .441 SLG, .763 OPS, 22 Runs
  • Leury García: .194 Batting Avg, .203 OBP, .274 SLG, .477 OPS, 11 Runs
  • José Abreu: .250 Batting Avg, .342 OBP, .415 SLG, .757 OPS, 23 Runs
  • Gavin Sheets: .203 Batting Avg, .271 OBP, .328 SLG, .599 OPS, 8 Runs

Tampa Bay Rays Stats

Season Stats
Team Batting AVG .232
Team OBP .296
AVG Runs Scored 4.1
Team ERA 3.28
Team WHIP 1.10
Starters ERA 3.36
Starters WHIP 1.08

Key Players for Tampa Bay

  • Corey Kluber: 3.73 ERA, 8.17 K/9, 1.13 WHIP
  • Ralph Garza Jr.: 4.60 ERA, 5.17 K/9, 1.53 WHIP
  • Vidal Bruján: .150 Batting Avg, .209 OBP, .200 SLG, .409 OPS, 5 Runs
  • Yandy Díaz: .266 Batting Avg, .393 OBP, .350 SLG, .743 OPS, 19 Runs
  • Taylor Walls: .148 Batting Avg, .252 OBP, .238 SLG, .490 OPS, 12 Runs
  • Michael Zunino: .151 Batting Avg, .195 OBP, .292 SLG, .487 OPS, 6 Runs
  • Manuel Margot: .322 Batting Avg, .383 OBP, .455 SLG, .838 OPS, 11 Runs
  • Randy Arozarena: .251 Batting Avg, .298 OBP, .403 SLG, .701 OPS, 22 Runs
  • Ji-Man Choi: .262 Batting Avg, .374 OBP, .456 SLG, .830 OPS, 13 Runs
  • Kevin Kiermaier: .226 Batting Avg, .264 OBP, .398 SLG, .662 OPS, 21 Runs
  • Harold Ramírez: .279 Batting Avg, .321 OBP, .369 SLG, .690 OPS, 16 Runs

The Rays and White Sox have met three times this season, with the Rays winning once and the White Sox winning twice. Their most recent matchup on April 17, 2022 ended 9-3 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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