Weekly Recap: AI Picks Went 29-30 (49.2% Win Rate) — Jun 1 – Jun 7, 2026

By SBA | Published June 8, 2026

Weekly Recap: AI Picks Went 29-30 (49.2% Win Rate) — Jun 1 – Jun 7, 2026
Week in Review MyBetAssist.com finished the Jun 1 – Jun 7 reporting window at 29-30-0P, a 49.2% win rate across 59 graded picks. The week had a clear split: NBA picks carried the board with an 80.0% win rate, while MLB volatility pulled the overall record just under break-even. The biggest takeaway is straightforward: when the model found clean NBA edges, especially around totals and spread spots, it performed at a high level. MLB was the tougher lane this week, reinforcing why price discipline and slate-by-slate review matter before scaling exposure. Results by League | League | Record | Win Rate | |---|---:|---:| | NBA | 20-5-0P | 80.0% | | MLB | 9-25-0P | 26.5% | Results by Bet Type | Type | Record | Win Rate | |---|---:|---:| | Game-line | 16-19-0P | 45.7% | | Player-prop | 13-11-0P | 54.2% | Top Picks of the Week The strongest wins came from high-confidence NBA positions. Under 216 Total Points closed as the top result at 88% confidence, followed by New York Knicks +5 at 85% confidence and Over 11.5 at 85% confidence. | Pick | League | Confidence | Result | |---|---:|---:|---:| | Under 216 Total Points | NBA | 88% | WON | | New York Knicks +5 | NBA | 85% | WON | | Over 11.5 | NBA | 85% | WON | Notable Misses The highest-confidence misses mostly came from MLB run-line and NBA total positions. Philadelphia Phillies -1.5 missed at 90% confidence, Seattle Mariners -1.5 missed at 88% confidence, and Under 10.5 missed at 88% confidence. | Pick | League | Confidence | Result | |---|---:|---:|---:| | Philadelphia Phillies -1.5 | MLB | 90% | LOST | | Seattle Mariners -1.5 | MLB | 88% | LOST | | Under 10.5 | NBA | 88% | LOST | Looking Ahead Next week’s focus is to keep leaning into the sports and bet types where the model is showing cleaner signal, while tightening MLB filtering before high-confidence exposure. The goal remains the same: build a repeatable process that separates strong model reads from noisy market spots. --- Related reading: Sunday MLB Props Need Price Discipline Knicks Steal Game 1 and Flip the Finals Market Spurs Game 2 Turns Into a Market Trust Test