Atlanta Braves vs Pittsburgh Pirates Betting Odds & Game Analysis | June 9


By Claudio Fortuna | June 9, 2022 12:02 PM

The Pittsburgh Pirates visit the Atlanta Braves at Truist Park, taking the field at 7:20pm ET on Thursday June 9th, 7:20pm ET. The Pittsburgh Pirates are 2-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 Pittsburgh Pirates and Atlanta Braves.

Atlanta and Pittsburgh Betting Info

  • Five of the Pirates’ last six night games against NL East opponents have gone OVER the total runs line.
  • The Braves have won each of their last seven games.

Pittsburgh Pirates Stats

Season Stats
Team Batting AVG .224
Team OBP .296
AVG Runs Scored 3.5
Team ERA 4.39
Team WHIP 1.37
Starters ERA 4.78
Starters WHIP 1.43

Key Players for Pittsburgh

  • David Bednar: 1.33 ERA, 12.33 K/9, 0.78 WHIP
  • Zachary Thompson: 4.60 ERA, 7.00 K/9, 1.42 WHIP
  • Tyler Beede: 4.00 ERA, 4.00 K/9, 1.33 WHIP
  • Tucupita Marcano: .250 Batting Avg, .333 OBP, .500 SLG, .833 OPS, 7 Runs
  • Jack Suwinski: .235 Batting Avg, .290 OBP, .461 SLG, .751 OPS, 17 Runs
  • Bryan Reynolds: .216 Batting Avg, .303 OBP, .387 SLG, .690 OPS, 20 Runs
  • Calvin Mitchell: .227 Batting Avg, .261 OBP, .432 SLG, .693 OPS, 4 Runs
  • Ke’Bryan Hayes: .285 Batting Avg, .374 OBP, .387 SLG, .761 OPS, 24 Runs
  • Diego Castillo: .218 Batting Avg, .259 OBP, .308 SLG, .567 OPS, 12 Runs
  • Michael Chavis: .270 Batting Avg, .309 OBP, .453 SLG, .762 OPS, 16 Runs
  • Michael Perez: .122 Batting Avg, .204 OBP, .245 SLG, .449 OPS, 2 Runs
  • Daniel Vogelbach: .236 Batting Avg, .324 OBP, .433 SLG, .757 OPS, 14 Runs

Atlanta Braves Stats

Season Stats
Team Batting AVG .244
Team OBP .310
AVG Runs Scored 4.5
Team ERA 3.78
Team WHIP 1.26
Starters ERA 4.25
Starters WHIP 1.33

Key Players for Atlanta

  • Kenley Jansen: 3.65 ERA, 12.40 K/9, 0.97 WHIP
  • Ian Anderson: 4.53 ERA, 7.54 K/9, 1.39 WHIP
  • Travis d’Arnaud: .250 Batting Avg, .288 OBP, .432 SLG, .720 OPS, 19 Runs
  • Michael Riley: .265 Batting Avg, .336 OBP, .534 SLG, .870 OPS, 32 Runs
  • Dansby Swanson: .278 Batting Avg, .349 OBP, .429 SLG, .778 OPS, 33 Runs
  • Adam Duvall: .205 Batting Avg, .264 OBP, .332 SLG, .596 OPS, 24 Runs
  • Ozhanio Albies: .248 Batting Avg, .290 OBP, .403 SLG, .693 OPS, 32 Runs
  • Marcell Ozuna: .229 Batting Avg, .274 OBP, .399 SLG, .673 OPS, 25 Runs
  • Ronald Acuña Jr.: .318 Batting Avg, .406 OBP, .523 SLG, .929 OPS, 21 Runs
  • Matthew Olson: .258 Batting Avg, .362 OBP, .465 SLG, .827 OPS, 23 Runs
  • Michael Harris II: .268 Batting Avg, .286 OBP, .415 SLG, .701 OPS, 6 Runs

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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