San Francisco Giants vs Kansas City Royals Betting Odds & Game Analysis | June 13


By Claudio Fortuna | June 13, 2022 2:41 PM

The Kansas City Royals visit the San Francisco Giants at Oracle Park, taking the field at 9:45pm ET on Monday June 13th, 9:45pm ET. The Kansas City Royals 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 Kansas City Royals and San Francisco Giants.

San Francisco and Kansas City Betting Info

  • Each of the Royals’ last seven games against National League opponents have gone OVER the total runs line.
  • The underdogs have won each of the last five games between the Royals and Giants.

Kansas City Royals Stats

Season Stats
Team Batting AVG .240
Team OBP .303
AVG Runs Scored 3.9
Team ERA 5.18
Team WHIP 1.52
Starters ERA 5.48
Starters WHIP 1.49

Key Players for Kansas City

  • Joel Payamps: 2.42 ERA, 6.58 K/9, 1.42 WHIP
  • Joshua Staumont: 3.18 ERA, 11.92 K/9, 1.32 WHIP
  • Daniel A. Lynch: 5.50 ERA, 8.33 K/9, 1.56 WHIP
  • Mervyl Melendez: .258 Batting Avg, .336 OBP, .475 SLG, .811 OPS, 14 Runs
  • Whitley Merrifield: .225 Batting Avg, .268 OBP, .316 SLG, .584 OPS, 29 Runs
  • Nicholas Lopez: .210 Batting Avg, .285 OBP, .249 SLG, .534 OPS, 19 Runs
  • Robert Witt Jr.: .244 Batting Avg, .291 OBP, .456 SLG, .747 OPS, 34 Runs
  • Andrew Benintendi: .303 Batting Avg, .369 OBP, .394 SLG, .763 OPS, 21 Runs
  • Michael A. Taylor: .278 Batting Avg, .372 OBP, .413 SLG, .785 OPS, 19 Runs
  • Salvador Perez: .211 Batting Avg, .250 OBP, .423 SLG, .673 OPS, 22 Runs
  • Emmanuel Rivera: .212 Batting Avg, .268 OBP, .390 SLG, .658 OPS, 13 Runs
  • Hunter Dozier: .270 Batting Avg, .329 OBP, .439 SLG, .768 OPS, 25 Runs

San Francisco Giants Stats

Season Stats
Team Batting AVG .241
Team OBP .320
AVG Runs Scored 4.9
Team ERA 4.06
Team WHIP 1.29
Starters ERA 3.94
Starters WHIP 1.26

Key Players for San Francisco

  • Camilo Doval: 2.84 ERA, 10.31 K/9, 1.18 WHIP
  • Logan Webb: 3.77 ERA, 7.41 K/9, 1.19 WHIP
  • Samuel Long: 1.96 ERA, 5.40 K/9, 1.04 WHIP
  • Brandon Crawford: .219 Batting Avg, .311 OBP, .353 SLG, .664 OPS, 25 Runs
  • Michael Yastrzemski: .275 Batting Avg, .377 OBP, .467 SLG, .844 OPS, 30 Runs
  • Joc Pederson: .267 Batting Avg, .337 OBP, .560 SLG, .897 OPS, 26 Runs
  • Thomas La Stella: .230 Batting Avg, .266 OBP, .426 SLG, .692 OPS, 7 Runs
  • Curtis Casali: .227 Batting Avg, .296 OBP, .398 SLG, .694 OPS, 12 Runs
  • Evan Longoria: .234 Batting Avg, .289 OBP, .481 SLG, .770 OPS, 9 Runs
  • Luis González: .307 Batting Avg, .368 OBP, .417 SLG, .785 OPS, 13 Runs
  • Wilmer Flores: .243 Batting Avg, .310 OBP, .406 SLG, .716 OPS, 31 Runs
  • Donovan Walton: .170 Batting Avg, .185 OBP, .358 SLG, .543 OPS, 7 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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