MLS betting tips: Thursday's picks highlight Toronto vs. Montreal play [7/16/2026]
Get MLS betting tips and picks for Thursday, July 16, 2026.
Today’s MLS betting tips for July 16, 2026 are here, with Toronto vs. Montreal among the top plays identified by our model across Thursday’s MLS slate.
Dimers’ predictive analytics engine runs 24/7, searching the latest soccer odds to find top betting edges. The result? Data-backed picks that help Dimers Pro members make smarter decisions.
List of MLS betting tips tonight [7/16, updated 2:45PM ET]
Below, you’ll find today’s best soccer bets, ranked by edge for Thursday, July 16, 2026.
Montreal ML (+140)
- Edge: 2.6%
- Probability: 44.3%
- Matchup: Toronto vs. Montreal (7:30PM ET)
Our model has identified value on Montreal to defeat Toronto at +140 odds. A 44.3% probability produces an edge of 2.6%, making this the strongest play for today's MLS slate.
MLS best bets summary: Thursday, 7/16/2026
As of 2:45PM ET, here is our top MLS bet by edge recommended by our model:
| Matchup | Bet | Odds | Edge | Probability |
|---|---|---|---|---|
| Toronto vs. Montreal | Montreal ML | +140 @ ESPN BET | 2.6% | 44.3% |
List of upcoming MLS games to bet on [7/16/2026]
- Toronto vs. Montreal (7:30PM ET, Thursday)
- Vancouver vs. Chicago (8:30PM ET, Thursday)
- Sporting KC vs. St Louis City (8:30PM ET, Thursday)
- Portland vs. Seattle (10:30PM ET, Thursday)
Conclusion
Our MLS best bets are locked and loaded for July 16, 2026, featuring plays such as Montreal ML vs. Toronto. Powered by advanced simulations, these picks are here to boost your betting game.
Our predictions are sourced from current data to help you make informed decisions. For additional resources and advice, head to our Responsible Gambling hub.
All odds and probabilities in this article are correct and accurate at the time of publication.
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Jason Bevilacqua, an expert in MLB, NHL, NBA, MLS, and NFL, delivers game previews, best bets, and props. Since 2020, as Head of Social and Community at Dimers, he has contributed insightful articles utilizing data-driven models and simulations.
