Kansas City Royals vs Toronto Blue Jays Betting Odds & Game Analysis | June 6


By Claudio Fortuna | June 6, 2022 11:46 AM

The Toronto Blue Jays visit the Kansas City Royals at Kauffman Stadium, taking the field at 8:10pm ET on Monday June 6th, 8:10pm ET. The Kansas City Royals are 1.5-run underdogs in the game, and the Over/Under is set at 9 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 Toronto Blue Jays and Kansas City Royals.

Kansas City and Toronto Betting Info

  • Each of the Blue Jays’ last eight games have gone OVER the total runs line.
  • The Royals have lost 14 of their last 15 games against AL East Division opponents that held a winning record.

Toronto Blue Jays Stats

Season Stats
Team Batting AVG .245
Team OBP .317
AVG Runs Scored 4.3
Team ERA 3.76
Team WHIP 1.22
Starters ERA 3.65
Starters WHIP 1.20

Key Players for Toronto

  • Jordan Romano: 3.10 ERA, 11.07 K/9, 1.23 WHIP
  • Yusei Kikuchi: 3.91 ERA, 9.78 K/9, 1.37 WHIP
  • Trent Thornton: 3.64 ERA, 6.75 K/9, 1.27 WHIP
  • Bo Bichette: .252 Batting Avg, .297 OBP, .423 SLG, .720 OPS, 28 Runs
  • Lourdes Gurriel Jr.: .247 Batting Avg, .312 OBP, .347 SLG, .659 OPS, 16 Runs
  • Daniel Jansen: .241 Batting Avg, .293 OBP, .648 SLG, .941 OPS, 9 Runs
  • Teoscar Hernández: .221 Batting Avg, .285 OBP, .372 SLG, .657 OPS, 13 Runs
  • George Springer: .279 Batting Avg, .348 OBP, .536 SLG, .884 OPS, 32 Runs
  • Alejandro Kirk: .307 Batting Avg, .389 OBP, .471 SLG, .860 OPS, 21 Runs
  • Santiago Espinal: .279 Batting Avg, .340 OBP, .430 SLG, .770 OPS, 18 Runs
  • Vladimir Guerrero Jr.: .253 Batting Avg, .342 OBP, .474 SLG, .816 OPS, 24 Runs
  • Matt Chapman: .215 Batting Avg, .307 OBP, .373 SLG, .680 OPS, 26 Runs

Kansas City Royals Stats

Season Stats
Team Batting AVG .236
Team OBP .299
AVG Runs Scored 3.8
Team ERA 5.12
Team WHIP 1.50
Starters ERA 5.34
Starters WHIP 1.50

Key Players for Kansas City

  • Albert Abreu: 0.00 ERA, 0.00 K/9, 6.00 WHIP
  • Joshua Staumont: 3.48 ERA, 11.75 K/9, 1.45 WHIP
  • Kristofer Bubic: 9.33 ERA, 6.38 K/9, 2.07 WHIP
  • Mervyl Melendez: .274 Batting Avg, .343 OBP, .463 SLG, .806 OPS, 10 Runs
  • Whitley Merrifield: .224 Batting Avg, .263 OBP, .318 SLG, .581 OPS, 25 Runs
  • Nicholas Lopez: .228 Batting Avg, .303 OBP, .269 SLG, .572 OPS, 19 Runs
  • Robert Witt Jr.: .224 Batting Avg, .272 OBP, .432 SLG, .704 OPS, 27 Runs
  • Andrew Benintendi: .321 Batting Avg, .384 OBP, .415 SLG, .799 OPS, 17 Runs
  • Michael A. Taylor: .241 Batting Avg, .336 OBP, .333 SLG, .669 OPS, 15 Runs
  • Salvador Perez: .199 Batting Avg, .240 OBP, .404 SLG, .644 OPS, 17 Runs
  • Emmanuel Rivera: .217 Batting Avg, .280 OBP, .424 SLG, .704 OPS, 13 Runs
  • Carlos Santana: .157 Batting Avg, .291 OBP, .244 SLG, .535 OPS, 9 Runs

The Royals and Blue Jays haven’t met since last season on August 1, 2021, where the Toronto Blue Jays won by a score of 5-1.

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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