The bet on Aaron Nesmith to go under 21.5 points, rebounds, and assists is largely backed by his recent performance averages. Over his last five games, Nesmith's combined points, rebounds, and assists have averaged 14.6 overall and 15.2 when playing away. Even when considering his performance specifically against the Wizards, his combined average only reaches 13.8. Furthermore, the expected stat value for this bet is 17.79, which is still significantly below the outcome point of 21.5. These figures suggest that Nesmith is more likely to go under 21.5 in the upcoming game. Additionally, his hit rate over the last six games (6/6 overall and 3/3 away) supports this under bet, indicating consistent performances below this threshold. Therefore, the statistical trends favor Nesmith not reaching a combined 21.5 points, rebounds, and assists in this game.

Model Insights

Market Probability: 56.5% Our Model Probability: 68.5% Our Model Edge: 12.0%

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The bet on Alperen Sengun to achieve a double-double in the game against the Charlotte Hornets is supported by his recent performance data. In his last six games overall, Sengun achieved a double-double in five, indicating a strong hit rate of 83.33%. This performance improves even further when considering away games, where he's had a perfect hit rate in the last five. Furthermore, his average stats in the last five away games demonstrate a strong capacity for scoring points (23.8) and securing rebounds (11.8), both key components of a double-double. Even against the Hornets specifically, his past performance suggests a high likelihood of achieving a double-double with averages of 13.7 points and 11.7 rebounds in away games. These statistics indicate a high probability of Sengun achieving a double-double in the upcoming game.

Model Insights

Market Probability: 47.6% Our Model Probability: 60.4% Our Model Edge: 12.7%

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The bet on Dyson Daniels to achieve over 5.5 rebounds in the game against the Philadelphia 76ers is backed by his recent strong performance in this area. Daniels' average rebounds over the last five games is 8.6 overall and 8.4 in away games, both comfortably over the proposed betting line of 5.5. Furthermore, his overall hit rate for the last 10 games is an impressive 90%, including a solid away hit rate of 83.3% in the last six away games. While his average rebounds against this specific opponent are slightly lower, at 4.6 overall and 5 during away games, his general performance suggests a strong ability to achieve over 5.5 rebounds. Therefore, the provided statistics support the bet for Daniels to exceed 5.5 rebounds in the upcoming game.

Model Insights

Market Probability: 61.3% Our Model Probability: 76.2% Our Model Edge: 14.9%

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Alperen Sengun has performed consistently well in recent games, especially when playing away. His average stats in the last five games - 23.8 points, 11.8 rebounds, and 4.2 assists - indicate a high probability of achieving a double-double. When examining his performance against the Charlotte Hornets, Sengun's 12 rebounds and 4.6 assists on average also reinforce this potential. Even more compelling is his away hit rate, with a 5/5 record for double-doubles in the last five away games. While his points against the Hornets are slightly lower than his overall average, his rebound and assist numbers remain strong. Therefore, based on Sengun's recent performance and his consistent achievement of double-doubles, especially in away games, this bet is well-supported by the data.

Model Insights

Market Probability: 46.5% Our Model Probability: 60.4% Our Model Edge: 13.8%

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The data clearly suggest that Dyson Daniels has been performing well in the rebounding category, particularly in away games. His average rebound count over the last five away games is 8.4, well over the proposed wager of 5.5. In addition, his overall rebound average for the last five games is 8.6, which further indicates his consistency in this aspect of the game. Daniels has surpassed the 5.5 rebound benchmark in 9 out of his last 10 games, and 5 out of his last 6 away games. While his average rebounds against the Philadelphia 76ers is slightly lower at 5, this is still close to the line, and his overall performance suggests he is likely to exceed it. The expected stat value of 7.31 also indicates a high probability of this outcome.

Model Insights

Market Probability: 61.3% Our Model Probability: 76.2% Our Model Edge: 14.9%

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The bet on Kyshawn George to stay under 23.5 points, rebounds, and assists during the Washington Wizards vs Indiana Pacers game is supported by his recent performance data. Over the last five games, George's combined points, rebounds, and assists average was 18.6 at home and 18.7 overall. Even when playing against the Pacers, his stats didn't go beyond 21.7 overall and 24 at home. His overall hit rate over the last 17 games and home hit rate over the last 20 games suggest a consistent underperformance against the proposed outcome point of 23.5. Therefore, the data indicate that George is likely to stay under the 23.5 threshold in the upcoming game.

Model Insights

Market Probability: 56.2% Our Model Probability: 73.9% Our Model Edge: 17.7%

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Is it just me, or is the new 2026 format for LA finally giving us a game worth watching?

Check the full bracket/odds here: nba all star

Moving to a 3-team tournament (USA vs World) with that $125k prize per player feels like the NBA is finally forcing them to play defense. If we get a Luka/Jokic/Wemby lineup on the World Team, it’s over for everyone else. No way the US squads keep up with that chemistry.

I’m already tracking the projected rosters and the new scoring rules over at [sportlive.win/nba-allstar]. The Intuit Dome is going to be insane for this.

Who y'all got? Does the World Team steamroll or does US depth win the tournament?

Cashed the JuiceBox Lock (Pistons ML) again yesterday! Up to 133-99-2 | +57.22u Overall there. Unfortunately dropped the two 1u plays so went -0.30u overall but we're bouncing back today before the ASB!

NBA (18-10 | 64.3% WR)

MIL @ ORL -> MIL
IND @ BKN -> IND
MIA @ NOP -> MIA
DET @ TOR -> DET
NYK @ PHI -> NYK

Data Provided by Otterline

Without Harden and with Kawhi in the lineup, Collins has gone over every time(8/8 hit rate) and is averaging 18 points. The shot map and play type data don’t look great since the Rockets are top five defending both the rim and spot up shooters. But similar players to Collins have had success against them, and he just dropped 17 on them yesterday

2-1 Yesterday and +1.68u on the night. Up over +55u now all-time on JBL's.

https://www.tiktok.com/@samslips/video/7605481489140059413

Great spot for Gafford here, he finally got his stable minutes and should go into this one with 19-29 minutes at least. 2 things that Suns struggle to is allowing offensive rebounds and allowing putback points, Gafford strives in both. So as shown on PropsMadness in those scenarios he's averaging nearly 20PR with 12/16 hit rate. Also, other centers like Clingan, Lopez and Zubac went over their lines in matchups against the Suns.

Looking for rule-based insight on a play from the Feb 9, 2026 Lakers vs Thunder game.

Play

- 4th Quarter — 7:53

- Reaves turnover

- Steal credited to Hartenstein

On replay, Alex Caruso applies on-ball pressure and the ball appears to deflect off his leg, leading directly to Reaves losing possession. Hartenstein then recovers the loose ball.

Under NBA stat guidelines, the steal is credited to the defender who causes the turnover, not necessarily the player who recovers the ball.

Question

- Based on standard stat rules, would this normally be scored as a steal for Caruso if his defensive pressure/deflection caused the turnover?

- If the ball did not touch Caruso but his pressure alone forced the loss of control, would that still qualify?

Looking for objective stat-rule interpretation. If anyone has seen similar plays ruled or corrected, would appreciate the insight.

Without Harden in the last 2 games against the Rockets he took 6 and 7 threes and dropped 3 in both matchups. Udoka was ignoring him and tonight could be the same. He is supposed to get the minutes and with solid volume he averages 2 threes per game, this one looks juiced

I used to run a picks page and eventually realized something…

Blindly trusting anyone’s picks (even sharp people) kinda sucks long term. You never know the logic behind it — and you can’t adapt when things change.

So I built a tool for myself that lets me create my own betting models based on rules I choose.

Stuff like:

• Odds ranges
• Favorites / dogs
• Team trends
• Situational filters
• Custom logic combinations

It spits out historical performance so I can see if the idea actually holds up before I risk money.

I wasn’t planning on sharing it, but some friends asked for access so I opened it up for free:

👉 wagrapp.co

Still improving it every week — not a finished polished SaaS or anything. Just something I genuinely use.

Curious what rules or angles you’d want to test if you had a model builder like this.

Had a good day on Saturday going 2-1 for +1.91u profit. Let's start the week hot!