Toronto Blue Jays vs St. Louis Cardinals Betting Odds & Game Analysis | July 26


By Claudio Fortuna | July 26, 2022 4:08 PM

The St. Louis Cardinals visit the Toronto Blue Jays at Rogers Centre, taking the field at 7:07pm ET on Tuesday July 26th, 7:07pm ET. The St. Louis Cardinals 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 St. Louis Cardinals and Toronto Blue Jays.

Toronto and St. Louis Betting Info

  • Each of the Blue Jays’ last seven home games against NL Central opponents have gone UNDER the total runs line.
  • The Blue Jays have won each of their last six games.

St. Louis Cardinals Stats

Season Stats
Team Batting AVG .251
Team OBP .320
AVG Runs Scored 4.6
Team ERA 3.83
Team WHIP 1.27
Starters ERA 4.07
Starters WHIP 1.31

Key Players for St. Louis

  • Giovanny Gallegos: 3.62 ERA, 11.57 K/9, 1.15 WHIP
  • James Naile: 0.00 ERA, 6.75 K/9, 0.38 WHIP
  • Neil Pallante: 3.34 ERA, 6.04 K/9, 1.46 WHIP
  • Nolan Arenado: .296 Batting Avg, .359 OBP, .528 SLG, .887 OPS, 42 Runs
  • Lars Nootbaar: .189 Batting Avg, .271 OBP, .358 SLG, .629 OPS, 15 Runs
  • Paul Goldschmidt: .335 Batting Avg, .417 OBP, .619 SLG, 1.036 OPS, 68 Runs
  • Thomas Edman: .257 Batting Avg, .323 OBP, .374 SLG, .697 OPS, 64 Runs
  • Brendan Donovan: .280 Batting Avg, .393 OBP, .378 SLG, .771 OPS, 30 Runs
  • Jose Pujols: .226 Batting Avg, .307 OBP, .387 SLG, .694 OPS, 17 Runs
  • Tyler O’Neill: .239 Batting Avg, .302 OBP, .362 SLG, .664 OPS, 27 Runs
  • Dylan Carlson: .256 Batting Avg, .327 OBP, .410 SLG, .737 OPS, 35 Runs
  • Andrew Knizner: .204 Batting Avg, .298 OBP, .255 SLG, .553 OPS, 11 Runs

Toronto Blue Jays Stats

Season Stats
Team Batting AVG .267
Team OBP .331
AVG Runs Scored 4.9
Team ERA 3.94
Team WHIP 1.24
Starters ERA 3.91
Starters WHIP 1.25

Key Players for Toronto

  • Jordan Romano: 2.55 ERA, 10.19 K/9, 1.13 WHIP
  • Maximo Castillo: 3.38 ERA, 9.16 K/9, 0.96 WHIP
  • Jeremy Beasley: 5.54 ERA, 12.47 K/9, 1.23 WHIP
  • Bo Bichette: .257 Batting Avg, .304 OBP, .416 SLG, .720 OPS, 53 Runs
  • Lourdes Gurriel Jr.: .313 Batting Avg, .363 OBP, .436 SLG, .799 OPS, 40 Runs
  • Daniel Jansen: .244 Batting Avg, .310 OBP, .603 SLG, .913 OPS, 14 Runs
  • Teoscar Hernández: .275 Batting Avg, .327 OBP, .493 SLG, .820 OPS, 37 Runs
  • George Springer: .252 Batting Avg, .332 OBP, .470 SLG, .802 OPS, 54 Runs
  • Alejandro Kirk: .319 Batting Avg, .397 OBP, .486 SLG, .883 OPS, 47 Runs
  • Santiago Espinal: .272 Batting Avg, .321 OBP, .388 SLG, .709 OPS, 38 Runs
  • Vladimir Guerrero Jr.: .280 Batting Avg, .354 OBP, .492 SLG, .846 OPS, 54 Runs
  • Matt Chapman: .237 Batting Avg, .312 OBP, .445 SLG, .757 OPS, 51 Runs

The Blue Jays and Cardinals have met twice this season, with the Blue Jays winning once and the Cardinals winning once. Their most recent matchup on May 24, 2022 ended 8-1 with the Toronto Blue Jays 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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