One pattern keeps showing up on the Pts + Rebs prop this season. It's flagged for tomorrow's playoff game at Madison Square Garden, and the pick is CJ McCollum UNDER 20.5. Here's what the data shows.
The Pattern: 23-9 This Season
Rithmm's models have tracked the NBA Pts + Rebs UNDER at the 20.5 line across the full 2026 season.
The result: a 23-9 record, 71.9% win rate on 32 bets, with a +34% ROI. Gold tier. One of the strongest combination prop patterns in the current dataset.
What makes this pattern worth paying attention to is the line specificity. It's not just the Pts + Rebs UNDER in general — it's specifically when the line is set at 20.5. At that threshold, the historical data shows the under has consistently outperformed what the market prices in.
The book is pricing McCollum's prop at -102 tomorrow. That's essentially even money. The historical pattern behind this exact setup is 23-9.
Tomorrow's Pick: CJ McCollum UNDER 20.5 Pts + Rebs (-102) at NYK
Rithmm's model projects 17.8 combined Pts + Rebs for McCollum in tomorrow's playoff game at New York. The sportsbook line sits at 20.5. The DTM on this pick reads +1.2.
Win probability: 51.1%
The win probability is modest on its own. What gives this pick its strength is the pattern convergence — when a live Rithmm projection lands below the 20.5 line, the historical record on that exact setup shows 71.9% on 32 bets. The model is flagging this as a situational pattern match, not a high-confidence individual projection.
For playoff games specifically, McCollum's role and usage can shift based on defensive schemes, game flow, and matchups the book hasn't fully priced in. The model is picking up on conditions that have historically resolved in favor of the under at this line.
The -102 payout makes this even more interesting. The book is pricing this as a near coin flip. The pattern says it goes 23-9.
Find This Pick Inside Rithmm
This pick is live in the app now under tomorrow's NBA slate. You'll see the model's projection, DTM, and win probability alongside the pattern data — so you're not just getting the pick, you're seeing exactly why it's flagged.
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