Pittsburgh Pirates vs Detroit Tigers Betting Odds & Game Analysis | June 7


By Claudio Fortuna | June 7, 2022 10:49 AM

The Detroit Tigers visit the Pittsburgh Pirates at PNC Park, taking the field at 7:05pm ET on Tuesday June 7th, 7:05pm ET. The Pittsburgh Pirates 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 Detroit Tigers and Pittsburgh Pirates.

Pittsburgh and Detroit Betting Info

  • Each of the Tigers’ last six night games against National League opponents have gone UNDER the total runs line.
  • The Pirates have lost each of their last seven night games following a home win.

Detroit Tigers Stats

Season Stats
Team Batting AVG .218
Team OBP .278
AVG Runs Scored 2.8
Team ERA 3.67
Team WHIP 1.18
Starters ERA 4.32
Starters WHIP 1.25

Key Players for Detroit

  • Gregory Soto: 1.90 ERA, 7.58 K/9, 1.16 WHIP
  • Jason Foley: 2.70 ERA, 4.32 K/9, 1.14 WHIP
  • Rony García: 4.50 ERA, 10.61 K/9, 1.00 WHIP
  • Jonathan Schoop: .192 Batting Avg, .233 OBP, .323 SLG, .556 OPS, 17 Runs
  • Tucker Barnhart: .226 Batting Avg, .258 OBP, .252 SLG, .510 OPS, 5 Runs
  • Ednel Báez: .198 Batting Avg, .234 OBP, .305 SLG, .539 OPS, 11 Runs
  • Jeimer Candelario: .181 Batting Avg, .236 OBP, .319 SLG, .555 OPS, 20 Runs
  • Dazmon Cameron: .208 Batting Avg, .283 OBP, .313 SLG, .596 OPS, 3 Runs
  • Willi Castro: .252 Batting Avg, .296 OBP, .322 SLG, .618 OPS, 12 Runs
  • Jose Cabrera: .301 Batting Avg, .345 OBP, .393 SLG, .738 OPS, 14 Runs
  • Derek Hill: .228 Batting Avg, .271 OBP, .291 SLG, .562 OPS, 8 Runs
  • Spencer Torkelson: .191 Batting Avg, .291 OBP, .309 SLG, .600 OPS, 11 Runs

Pittsburgh Pirates Stats

Season Stats
Team Batting AVG .226
Team OBP .299
AVG Runs Scored 3.6
Team ERA 4.34
Team WHIP 1.37
Starters ERA 4.70
Starters WHIP 1.42

Key Players for Pittsburgh

  • David Bednar: 1.33 ERA, 12.33 K/9, 0.78 WHIP
  • Mitch Keller: 5.77 ERA, 7.62 K/9, 1.56 WHIP
  • Tyler Beede: 5.40 ERA, 4.05 K/9, 1.65 WHIP
  • Tucupita Marcano: .276 Batting Avg, .364 OBP, .552 SLG, .916 OPS, 7 Runs
  • Jack Suwinski: .229 Batting Avg, .282 OBP, .440 SLG, .722 OPS, 15 Runs
  • Bryan Reynolds: .220 Batting Avg, .310 OBP, .398 SLG, .708 OPS, 20 Runs
  • Ke’Bryan Hayes: .289 Batting Avg, .374 OBP, .394 SLG, .768 OPS, 24 Runs
  • Diego Castillo: .224 Batting Avg, .267 OBP, .320 SLG, .587 OPS, 12 Runs
  • Michael Chavis: .280 Batting Avg, .319 OBP, .470 SLG, .789 OPS, 16 Runs
  • Michael Perez: .109 Batting Avg, .196 OBP, .239 SLG, .435 OPS, 2 Runs
  • Daniel Vogelbach: .242 Batting Avg, .326 OBP, .444 SLG, .770 OPS, 14 Runs

The Pirates and Tigers have met twice this season, with the Pirates winning once and the Tigers winning once. Their most recent matchup on May 4, 2022 ended 7-2 with the Pittsburgh Pirates 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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