Toronto Blue Jays vs Cincinnati Reds Betting Odds & Game Analysis | May 20


By Ed Winchester | May 20, 2022 10:39 AM

The Cincinnati Reds visit the Toronto Blue Jays at Rogers Centre, taking the field at 7:07pm ET on Friday May 20th, 7:07pm ET. The Cincinnati Reds are 1.5-run underdogs in the game, and the Over/Under is set at 8 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 Cincinnati Reds and Toronto Blue Jays.

Toronto and Cincinnati Betting Info

  • Seven of the Blue Jays’ last eight home games have gone UNDER the total runs line.
  • The Reds have lost each of their last 13 road games against teams that held a winning record.

Cincinnati Reds Stats

Season Stats
Team Batting AVG .219
Team OBP .294
AVG Runs Scored 4.1
Team ERA 5.85
Team WHIP 1.51
Starters ERA 6.75
Starters WHIP 1.58

Key Players for Cincinnati

  • Jeffrey Hoffman: 1.83 ERA, 8.69 K/9, 1.12 WHIP
  • Alexis Díaz: 1.02 ERA, 10.70 K/9, 1.08 WHIP
  • Tyler Mahle: 5.23 ERA, 9.21 K/9, 1.35 WHIP
  • Reinaldo Almora Jr.: .296 Batting Avg, .321 OBP, .370 SLG, .691 OPS, 4 Runs
  • Matthew Reynolds: .231 Batting Avg, .362 OBP, .282 SLG, .644 OPS, 5 Runs
  • James Farmer: .217 Batting Avg, .278 OBP, .317 SLG, .595 OPS, 12 Runs
  • Tyler Stephenson: .325 Batting Avg, .384 OBP, .545 SLG, .929 OPS, 13 Runs
  • Michael Moustakas: .247 Batting Avg, .330 OBP, .398 SLG, .728 OPS, 14 Runs
  • Tyler Naquin: .266 Batting Avg, .316 OBP, .486 SLG, .802 OPS, 16 Runs
  • Colin Moran: .212 Batting Avg, .293 OBP, .376 SLG, .669 OPS, 8 Runs
  • Brandon Drury: .245 Batting Avg, .333 OBP, .509 SLG, .842 OPS, 19 Runs
  • Thomas Pham: .240 Batting Avg, .354 OBP, .376 SLG, .730 OPS, 21 Runs

Toronto Blue Jays Stats

Season Stats
Team Batting AVG .234
Team OBP .300
AVG Runs Scored 3.7
Team ERA 3.67
Team WHIP 1.20
Starters ERA 3.55
Starters WHIP 1.18

Key Players for Toronto

  • Jordan Romano: 3.07 ERA, 10.43 K/9, 1.23 WHIP
  • José Berríos: 4.83 ERA, 6.15 K/9, 1.49 WHIP
  • Adam Cimber: 2.20 ERA, 6.06 K/9, 0.80 WHIP
  • Bo Bichette: .242 Batting Avg, .283 OBP, .363 SLG, .646 OPS, 17 Runs
  • Lourdes Gurriel Jr.: .227 Batting Avg, .273 OBP, .333 SLG, .606 OPS, 13 Runs
  • Daniel Jansen: .353 Batting Avg, .450 OBP, .941 SLG, 1.391 OPS, 4 Runs
  • Teoscar Hernández: .186 Batting Avg, .238 OBP, .322 SLG, .560 OPS, 5 Runs
  • George Springer: .269 Batting Avg, .333 OBP, .500 SLG, .833 OPS, 21 Runs
  • Zachary Collins: .200 Batting Avg, .273 OBP, .400 SLG, .673 OPS, 5 Runs
  • Santiago Espinal: .289 Batting Avg, .348 OBP, .438 SLG, .786 OPS, 13 Runs
  • Vladimir Guerrero Jr.: .284 Batting Avg, .368 OBP, .470 SLG, .838 OPS, 17 Runs
  • Matt Chapman: .185 Batting Avg, .272 OBP, .362 SLG, .634 OPS, 14 Runs

The Blue Jays and Reds haven’t met since last season on May 31, 2017, where the Toronto Blue Jays won by a score of 5-4.

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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