Toronto Blue Jays vs Kansas City Royals Betting Odds & Game Analysis | July 14


By Claudio Fortuna | July 14, 2022 1:38 PM

The Kansas City Royals visit the Toronto Blue Jays at Rogers Centre, taking the field at 7:07pm ET on Thursday July 14th, 7:07pm ET. The Kansas City Royals are -run underdogs in the game, and the Over/Under is set at 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 Kansas City Royals and Toronto Blue Jays.

Toronto and Kansas City Betting Info

  • Each of the Blue Jays’ last six home games against AL Central opponents have gone OVER the total runs line.
  • The Royals have lost each of their last 10 games at Rogers Centre against teams that held a winning record.

Kansas City Royals Stats

Season Stats
Team Batting AVG .243
Team OBP .308
AVG Runs Scored 4.0
Team ERA 4.84
Team WHIP 1.48
Starters ERA 5.01
Starters WHIP 1.46

Key Players for Kansas City

  • Scott Barlow: 2.16 ERA, 9.07 K/9, 0.98 WHIP
  • Jackson Kowar: 10.13 ERA, 10.13 K/9, 2.40 WHIP
  • Kristofer Bubic: 6.63 ERA, 7.79 K/9, 1.86 WHIP
  • Mervyl Melendez: .217 Batting Avg, .309 OBP, .406 SLG, .715 OPS, 22 Runs
  • Whitley Merrifield: .240 Batting Avg, .292 OBP, .343 SLG, .635 OPS, 45 Runs
  • Edward Olivares: .286 Batting Avg, .337 OBP, .440 SLG, .777 OPS, 14 Runs
  • Robert Witt Jr.: .248 Batting Avg, .295 OBP, .445 SLG, .740 OPS, 47 Runs
  • Andrew Benintendi: .317 Batting Avg, .386 OBP, .401 SLG, .787 OPS, 37 Runs
  • Michael A. Taylor: .264 Batting Avg, .340 OBP, .385 SLG, .725 OPS, 26 Runs
  • Emmanuel Rivera: .236 Batting Avg, .289 OBP, .420 SLG, .709 OPS, 22 Runs
  • Hunter Dozier: .265 Batting Avg, .327 OBP, .445 SLG, .772 OPS, 36 Runs

Toronto Blue Jays Stats

Season Stats
Team Batting AVG .260
Team OBP .325
AVG Runs Scored 4.6
Team ERA 4.04
Team WHIP 1.25
Starters ERA 3.95
Starters WHIP 1.25

Key Players for Toronto

  • Jordan Romano: 2.53 ERA, 10.13 K/9, 1.22 WHIP
  • Maximo Castillo: 2.30 ERA, 10.34 K/9, 0.83 WHIP
  • Alek Manoah: 2.34 ERA, 8.11 K/9, 0.98 WHIP
  • Bo Bichette: .262 Batting Avg, .305 OBP, .430 SLG, .735 OPS, 48 Runs
  • Lourdes Gurriel Jr.: .304 Batting Avg, .356 OBP, .436 SLG, .792 OPS, 35 Runs
  • Teoscar Hernández: .267 Batting Avg, .320 OBP, .474 SLG, .794 OPS, 30 Runs
  • George Springer: .250 Batting Avg, .329 OBP, .483 SLG, .812 OPS, 52 Runs
  • Alejandro Kirk: .312 Batting Avg, .398 OBP, .480 SLG, .878 OPS, 43 Runs
  • Santiago Espinal: .274 Batting Avg, .325 OBP, .398 SLG, .723 OPS, 31 Runs
  • Vladimir Guerrero Jr.: .266 Batting Avg, .344 OBP, .488 SLG, .832 OPS, 47 Runs
  • Matt Chapman: .218 Batting Avg, .295 OBP, .405 SLG, .700 OPS, 43 Runs

The Blue Jays and Royals have met three times this season, with the Blue Jays winning twice and the Royals winning once. Their most recent matchup on June 8, 2022 ended 8-4 with the Kansas City Royals 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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