San Francisco Giants vs Colorado Rockies Betting Odds & Game Analysis | June 9


By Claudio Fortuna | June 9, 2022 2:14 PM

The Colorado Rockies visit the San Francisco Giants at Oracle Park, taking the field at 3:45pm ET on Thursday June 9th, 3:45pm ET. The Colorado Rockies are 2-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 Colorado Rockies and San Francisco Giants.

San Francisco and Colorado Betting Info

  • Each of the Giants’ last six home games following an extra innings win have gone UNDER the total runs line.
  • The Rockies have lost each of their last 10 day games following an extra innings loss.

Colorado Rockies Stats

Season Stats
Team Batting AVG .259
Team OBP .323
AVG Runs Scored 4.6
Team ERA 5.12
Team WHIP 1.49
Starters ERA 5.20
Starters WHIP 1.51

Key Players for Colorado

  • Jhoulys Chacín: 7.24 ERA, 7.25 K/9, 1.50 WHIP
  • Daniel Bard: 2.31 ERA, 11.19 K/9, 0.99 WHIP
  • Kyle Freeland: 4.53 ERA, 6.79 K/9, 1.47 WHIP
  • José Iglesias: .305 Batting Avg, .352 OBP, .377 SLG, .729 OPS, 18 Runs
  • Christopher Cron: .286 Batting Avg, .338 OBP, .539 SLG, .877 OPS, 32 Runs
  • Charles Blackmon: .251 Batting Avg, .313 OBP, .437 SLG, .750 OPS, 26 Runs
  • Yonathan Daza: .331 Batting Avg, .390 OBP, .380 SLG, .770 OPS, 17 Runs
  • Ryan McMahon: .235 Batting Avg, .327 OBP, .372 SLG, .699 OPS, 26 Runs
  • Brendan Rodgers: .260 Batting Avg, .308 OBP, .414 SLG, .722 OPS, 28 Runs
  • Elias Díaz: .199 Batting Avg, .250 OBP, .287 SLG, .537 OPS, 11 Runs
  • Connor Joe: .272 Batting Avg, .367 OBP, .417 SLG, .784 OPS, 30 Runs
  • Randal Grichuk: .266 Batting Avg, .313 OBP, .391 SLG, .704 OPS, 22 Runs

San Francisco Giants Stats

Season Stats
Team Batting AVG .242
Team OBP .323
AVG Runs Scored 5.1
Team ERA 4.25
Team WHIP 1.29
Starters ERA 4.10
Starters WHIP 1.27

Key Players for San Francisco

  • Jakob Junis: 2.51 ERA, 7.33 K/9, 0.93 WHIP
  • Camilo Doval: 3.04 ERA, 9.89 K/9, 1.23 WHIP
  • Samuel Long: 2.35 ERA, 5.87 K/9, 1.04 WHIP
  • Brandon Crawford: .219 Batting Avg, .305 OBP, .360 SLG, .665 OPS, 24 Runs
  • Michael Yastrzemski: .288 Batting Avg, .395 OBP, .471 SLG, .866 OPS, 29 Runs
  • Joc Pederson: .262 Batting Avg, .338 OBP, .574 SLG, .912 OPS, 24 Runs
  • Thomas La Stella: .217 Batting Avg, .254 OBP, .417 SLG, .671 OPS, 7 Runs
  • Curtis Casali: .235 Batting Avg, .308 OBP, .420 SLG, .728 OPS, 11 Runs
  • Evan Longoria: .229 Batting Avg, .289 OBP, .486 SLG, .775 OPS, 8 Runs
  • Luis González: .322 Batting Avg, .376 OBP, .441 SLG, .817 OPS, 12 Runs
  • Wilmer Flores: .261 Batting Avg, .324 OBP, .436 SLG, .760 OPS, 30 Runs
  • Donovan Walton: .188 Batting Avg, .204 OBP, .396 SLG, .600 OPS, 7 Runs

In the last 5 matchups between the Giants and Rockies, the Giants won three times and the Rockies won twice. Their most recent matchup on June 8, 2022 ended 2-1 with the San Francisco Giants 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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