Toronto Blue Jays vs Kansas City Royals Betting Odds & Game Analysis | July 15


By Claudio Fortuna | July 15, 2022 11:36 AM

The Kansas City Royals visit the Toronto Blue Jays at Rogers Centre, taking the field at 7:07pm ET on Friday July 15th, 7:07pm ET. The Kansas City Royals are 2.5-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 Kansas City Royals and Toronto Blue Jays.

Toronto and Kansas City Betting Info

  • Nine of the last 10 games between the Royals and Blue Jays have gone UNDER the total runs line.
  • The Royals have lost each of their last nine games against AL East opponents following a road win.

Kansas City Royals Stats

Season Stats
Team Batting AVG .245
Team OBP .310
AVG Runs Scored 3.9
Team ERA 4.79
Team WHIP 1.47
Starters ERA 4.97
Starters WHIP 1.46

Key Players for Kansas City

  • Scott Barlow: 2.11 ERA, 9.07 K/9, 0.98 WHIP
  • Jackson Kowar: 8.80 ERA, 9.98 K/9, 2.22 WHIP
  • Angel Zerpa: 1.29 ERA, 2.57 K/9, 1.00 WHIP
  • Charles Hicklen: .000 Batting Avg, .000 OBP, .000 SLG, .000 OPS, 0 Runs
  • Nicholas Lopez: .240 Batting Avg, .295 OBP, .289 SLG, .584 OPS, 30 Runs
  • Nathan Eaton: .250 Batting Avg, .250 OBP, 1.000 SLG, 1.250 OPS, 1 Run
  • Edward Olivares: .310 Batting Avg, .365 OBP, .460 SLG, .825 OPS, 14 Runs
  • Robert Witt Jr.: .255 Batting Avg, .301 OBP, .458 SLG, .759 OPS, 48 Runs
  • Ryan O’Hearn: .186 Batting Avg, .227 OBP, .243 SLG, .470 OPS, 4 Runs
  • Vincent Pasquantino: .203 Batting Avg, .329 OBP, .322 SLG, .651 OPS, 6 Runs
  • Emmanuel Rivera: .236 Batting Avg, .288 OBP, .416 SLG, .704 OPS, 22 Runs

Toronto Blue Jays Stats

Season Stats
Team Batting AVG .259
Team OBP .325
AVG Runs Scored 4.6
Team ERA 4.03
Team WHIP 1.25
Starters ERA 3.94
Starters WHIP 1.26

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: .261 Batting Avg, .307 OBP, .427 SLG, .734 OPS, 48 Runs
  • Lourdes Gurriel Jr.: .304 Batting Avg, .354 OBP, .433 SLG, .787 OPS, 35 Runs
  • Teoscar Hernández: .267 Batting Avg, .319 OBP, .470 SLG, .789 OPS, 30 Runs
  • George Springer: .247 Batting Avg, .328 OBP, .478 SLG, .806 OPS, 52 Runs
  • Alejandro Kirk: .315 Batting Avg, .399 OBP, .484 SLG, .883 OPS, 43 Runs
  • Santiago Espinal: .271 Batting Avg, .322 OBP, .394 SLG, .716 OPS, 31 Runs
  • Vladimir Guerrero Jr.: .263 Batting Avg, .340 OBP, .482 SLG, .822 OPS, 47 Runs
  • Matt Chapman: .218 Batting Avg, .295 OBP, .413 SLG, .708 OPS, 44 Runs

The Blue Jays and Royals have met four times this season, with the Blue Jays winning twice and the Royals winning twice. Their most recent matchup on July 14, 2022 ended 3-1 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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