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NBA player props today: Monday's best props include James Harden [11/17/2025]

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Written by Jason Bevilacqua

Get NBA player props today with projections for Monday's games.

NBA Prop Bets.
NBA prop bets for November 17, 2025 are based on the latest odds and projections for Monday's basketball games.

Dimers' NBA props are live for Monday, November 17, 2025, with today's top betting edges led by the likes of James Harden, Ivica Zubac and Isaiah Hartenstein.

Our NBA player props model runs continuously, analyzing every matchup, including Bucks vs. Cavaliers and Bulls vs. Nuggets, to surface the best NBA player prop bets across the market.

List of NBA prop picks for Monday, 11/17

Sourced from 35+ total props today, below are the top ten NBA player props for November 17, ranked by edge.

James Harden over 1.5 steals (+194)

Our model has flagged value on LA Clippers' James Harden over 1.5 steals. A probability of 47.0% gives this play an edge of 13.0% at +194 odds.

 

Ivica Zubac over 1.5 blocks (+178)

Ivica Zubac’s blocks prop shows a 12.0% edge at +178 odds, according to our model, which projects him for 1.3 blocks on the over 1.5 line.

 

Isaiah Hartenstein over 3.5 assists (+142)

Our model shows value on Isaiah Hartenstein over 3.5 assists, supported by a 11.9% edge at +142 odds.

 

Jamal Murray over 1.5 steals (+178)

Our model projects Jamal Murray to put up 1.1 steals today, creating an edge of 9.0% on the over 1.5 line at +178 odds.

 

Jalen Duren over 1.5 blocks (+160)

Our model shows value on Jalen Duren over 1.5 blocks for Detroit, showing an edge of 8.9% edge at +160 odds.

 

Jeremiah Fears over 1.5 steals (+137)

Jeremiah Fears’s steals prop shows an edge of 8.9% edge at +137 odds, according to our model, which projects him for 1.6 today.

 

Julius Randle under 0.5 steals (+181)

Our model projects Julius Randle for 0.9 steals for Minnesota, creating an edge of 8.6% on under 0.5 at +181 odds.

 

Donte DiVincenzo over 4.5 rebounds (+136)

Our model projects Donte DiVincenzo for 4.7 rebounds, creating value on the over 4.5 line at +136 odds and a 8.5% edge.

 

Immanuel Quickley over 4.5 steals (+178)

An 8.2% edge on the over 4.5 steals line makes Immanuel Quickley a value play in Hornets vs. Raptors, with our model projecting him for 1.1 steals at +178 odds.

 

Andrew Nembhard over 1.5 steals (+167)

Our model projects Andrew Nembhard for 1.2 steals here, creating a 8.1% edge on the over 1.5 line at -130 odds.

 

NBA player prop summary: Monday, November 17, 2025

A quick summary of today’s top props by edge according to our model as of 6:52PM ET:

Matchup Prop Odds Edge Probability
Clippers vs. 76ers James Harden over 1.5 steals +194 @ FanDuel 13.0% 47.0%
Clippers vs. 76ers Ivica Zubac over 1.5 blocks +178 @ FanDuel 12.0% 48.0%
Thunder vs. Pelicans Isaiah Hartenstein over 3.5 assists +142 @ FanDuel 9.0% 45.0%
Bulls vs. Nuggets Jamal Murray over 1.5 steals +178 @ FanDuel 9.0% 45.0%
Pacers vs. Pistons Jalen Duren over 1.5 blocks +160 @ BetMGM 8.9% 47.4%
Thunder vs. Pelicans Jeremiah Fears over 1.5 steals +137 @ DraftKings 8.9% 51.1%
Mavericks vs. Timberwolves Julius Randle under 0.5 steals +181 @ DraftKings 8.6% 44.2%
Mavericks vs. Timberwolves Donte DiVincenzo over 4.5 rebounds +136 @ FanDuel 8.5% 50.9%
Hornets vs. Raptors Immanuel Quickley over 4.5 steals +178 @ FanDuel 8.2% 44.2%
Pacers vs. Pistons Andrew Nembhard over 1.5 steals +167 @ DraftKings 8.1% 45.5%

Conclusion

For November 17, 2025, our NBA prop bets feature players such as James Harden, Ivica Zubac and Isaiah Hartenstein. Each pick is grounded in real-time data and advanced simulations to help you bet with clarity and purpose.

Built using automation and human oversight, this article draws on the latest data to deliver accurate, timely insights. Dimers promotes responsible gambling.

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Written by
Jason Bevilacqua
Head of Content and Communities

Jason Bevilacqua, an expert in MLB, NHL, NBA, MLS, and NFL, delivers game previews, best bets, and props. Since 2020, as Head of Social and Community at Dimers, he has contributed insightful articles utilizing data-driven models and simulations.

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