Last 10 games
| Defender | Games | Min | eFG% | vs Season | Sample |
|---|---|---|---|---|---|
| Luka Dončić | 1 | 5 | 50% | -2.6% | low |
| Brandin Podziemski | 1 | 4 | 67% | +18.6% | low |
| Desmond Bane | 1 | 3 | 0% | -48.1% | low |
| Paolo Banchero | 1 | 2 | 86% |
Max Strus is carrying a modest season line of 9.2 PPG, 6.2 RPG, and 2.2 APG, with his last-5 exactly matching those season averages in points and rebounds but the overall trend marked down. His recent scoring has been volatile, including a 24-point outlier but also a 0-point game, and his standard deviation in points is very high at 8.18, which makes his scoring props low-confidence. The matchup data is not pointing to a clear boost, as he has averaged 9.0 PPG and 3.75 RPG in 4 games vs this opponent, and the opponent’s scoring suppression profile suggests some resistance. With no specific defender matchup data that meaningfully changes the projection, the cleanest angle is to lean on his steadier rebound production rather than betting on points.
No specific defender matchup data meaningfully changes the projection here. Against this opponent, he has averaged 9.0 points and 3.75 rebounds across 4 games, while the opponent defense data shows a 117.34 defensive rating and 0.43 scoring suppression.
| Player | Prop | Line | Pick | Confidence | ML | Trend |
|---|---|---|---|---|---|---|
Max Strus▼ | Points | 9.5 | UNDER | 74%HIGH | 1/2 | 60% |
Max Strus▼ | Rebounds | 6.5 | UNDER | 62%MEDIUM | 2/2 | 80% |
Max Strus▼ | Assists | 2.5 | UNDER | 66%MEDIUM | 2/2 | 40% |
Max Strus▼ | 3PM | 2.5 | UNDER | 68%MEDIUM | 1/2 | 60% |
Max Strus▼ | STL+BLK | 1.5 | UNDER | 72%HIGH | — | 80% |
Max Strus▼ | Turnovers | 2 | UNDER | 70%HIGH | — | 80% |
Max Strus▼ | PRA | 18 | UNDER | 63%MEDIUM | 1/2 | 70% |
Max Strus▼ | R+A | 8.5 | UNDER | 64%MEDIUM | 1/2 | 40% |
This is the clearest edge because his season scoring average is 9.2, his last-5 is also 9.2, and his scoring profile is highly volatile with an 8.18 standard deviation. The matchup history is not pushing him above the line either, as he has averaged 9.0 PPG in 4 games vs this opponent.
| low |
| Ousmane Dieng | 1 | 2 | 75% | +1.9% | low |
| Defender | Games | Min | PTS | FG% | eFG% |
|---|---|---|---|---|---|
| Jaime Jaquez Jr. | 1 | 2 | 8 | 100% | 133% |
| Tyler Herro | 1 | 1 | 3 | 100% | 150% |
| Pelle Larsson | 1 | 1 | 2 | 0% | 0% |
| Norman Powell | 1 | 1 | 5 | 50% | 63% |
| Kasparas Jakučionis | 1 | 1 | 0 | 0% | 0% |
His season mean is 9.2, but the scoring profile is extremely volatile with a season std of 8.18 and a recent trend down. He has also averaged just 9.0 PPG in 4 games vs this opponent, so the under is the safer side.
He is sitting at 6.2 RPG on the season and 6.2 in the last 5, so a 6.5 line is slightly above his mean. That said, his rebound distribution is steadier than points, so confidence stays moderate.
His season average is 2.2 APG and his last-5 is also 2.2, which keeps him below a 2.5 line. He has reached 3.0 APG in the last 10, but the baseline still leans under.
He averages 2.4 made threes per game on the season, but the last-20 is 2.2 and the recent output is not a clear step up. With a high std of 2.06, the under is the more conservative choice.
His season stocks average is only 0.6, and his last-5 is 0.6 as well. At a 1.5 line, he would need a major outlier game to clear it.
He is at 0.8 turnovers per game in the last 5 and 1.4 in the last 10, both below this line. That makes the under the cleaner side unless his usage spikes unexpectedly.
His season averages sum to 17.6 PRA, so an 18.0 line is slightly above baseline. Because combo props are higher-variance, the under is preferable here.
He averages 6.2 rebounds and 2.2 assists for 8.4 RA on the season, just under this line. The slight cushion supports an under play.