Last 10 games
| Defender | Games | Min | eFG% | vs Season | Sample |
|---|---|---|---|---|---|
| Noah Clowney | 3 | 17 | 35% | -17.6% | medium |
| Kelly Oubre Jr. | 4 | 16 | 25% | -22.6% | medium |
| Tobias Harris | 4 | 14 | 42% | -14.3% | medium |
| Franz Wagner | 3 | 13 | 67% |
Jaylen Brown is producing at an elite season rate of 28.5 PPG, 7.0 RPG, and 5.1 APG, but his recent scoring has cooled to 26.2 over the last 5 and 25.3 over the last 10. His assist form has improved, with 6.7 APG over the last 10 versus 5.15 on the season, while rebounds are holding near his typical range. The matchup context is not especially favorable for an efficient scoring explosion: Memphis has a 118.62 defensive rating, and Brown’s head-to-head scoring against this opponent is 23.0 PPG in 7 games, below both his season mark and the current points line.
Memphis has no specific defender matchup data that should be singled out here, so the main read comes from team context: a 118.62 defensive rating, pace of 100, and a scoring_suppression of 0.744. Brown has also averaged 23.0 PPG in 7 games vs this opponent, which is materially below his season scoring level.
| Player | Prop | Line | Pick | Confidence | ML | Trend | Actual | Result |
|---|---|---|---|---|---|---|---|---|
Jaylen Brown▼ | Points | 25.5 | UNDER | 79%HIGH | 1/2 | 50% | 30 | ✗ |
Jaylen Brown▼ | Rebounds | 6.5 | OVER | 63%MEDIUM | 1/2 | 60% | 6 | ✗ |
Jaylen Brown▼ | Assists | 5.5 | OVER | 66%MEDIUM | 2/2 | 80% | 6 | ✓ |
Jaylen Brown▼ | 3PM | 1.5 | OVER | 52%MEDIUM | 2/2 | 40% | 2 | ✓ |
Jaylen Brown▼ | Steals | 1.5 | UNDER | 68%MEDIUM | 2/2 | 60% | 0 | ✓ |
Jaylen Brown▼ | Blocks | 0.5 | OVER | 55%MEDIUM | — | 30% | 0 | ✗ |
Jaylen Brown▼ | Turnovers | 3.5 | OVER | 64%MEDIUM | — | 50% | 1 | ✗ |
Jaylen Brown▼ | PRA | 36.5 | UNDER | 71%HIGH | 2/2 | 20% | 42 | ✗ |
This is the cleanest edge in the dataset: the value model gives the UNDER a 0.241 edge with 45.12 EV per 100 at DraftKings, and Brown’s recent scoring has already cooled to 25.3 over the last 10. His opponent history at 23.0 PPG across 7 games and the current game context make the lower side the most attractive play.
| medium |
| De'Andre Hunter | 2 | 12 | 30% | -27.6% | low |
| Defender | Games | Min | PTS | FG% | eFG% |
|---|---|---|---|---|---|
| Tyler Burton | 1 | 6 | 12 | 75% | 100% |
| Cam Spencer | 2 | 3 | 2 | 50% | 50% |
| Javon Small | 1 | 3 | 3 | 33% | 50% |
| Jaylen Wells | 2 | 2 | 3 | 50% | 75% |
| Cedric Coward | 1 | 2 | 0 | 0% | 0% |
His season mean is 28.48, but the recent_mean is 25.3 and the value model shows a strong UNDER lean with 0.776 our_prob_under and 0.241 best_edge. The opponent history is also softer at 23.0 PPG across 7 games, which supports fading an elevated number.
Brown’s season_mean is 7.05 and his recent_mean is 6.7, both above 6.5, while the value data shows a positive edge on the OVER at multiple books. Variance is manageable here relative to other combo markets, though the line is still close enough to keep confidence moderate.
His recent_mean of 6.7 is well above the 5.15 season_mean, and the value props data shows a clear OVER edge with 0.121 to 0.144 depending on the book. The recent game logs also show repeated 5+ assist outputs, including 6, 7, 7, 7, 8, and 9 in the sample.
Brown averages 1.94 made threes on the season and 1.4 over the last 5, so the profile is still close to the number even with a slight recent dip. This is a thin edge market, so the play is playable but not a strong confidence spot.
He averages exactly 1.0 steals on the season and 1.1 over the last 10, which is below a 1.5 line. The under also aligns with his volatility profile, as he has multiple recent games at 0 or 1 steal.
His season mean is 0.4 blocks and the last 20 is 0.5, so this is a borderline threshold play rather than a strong edge. The line is low enough to keep the OVER in consideration, but confidence should stay modest.
Brown’s recent turnover rates are elevated at 4.0 over the last 5 and 3.7 over the last 10, with season recent form also sitting above 3.5. This is consistent with his high-usage role and makes the OVER the lean if the market posts a 3.5 line.
His season PRA expectation based on the provided means is 40.63, but the value data for PRA is not positive and the combo market carries higher variance. With the points lean pointing down and no strong PRA value edge, the UNDER is the more conservative side.