NBA Predictions November 8, 2026: Best Picks Across Seven Games

Philadelphia 76ers are the model’s strongest pick for November 8, 2026, with a 74.1% win probability at Chicago Bulls. Minnesota Timberwolves follow at 72.9%, while Miami Heat rank third at 72.1%. Those are the leading estimates across this seven-game NBA regular-season slate, not promises of results.

The useful distinction today is between the strongest win probabilities and the more competitive matchups. Dallas Mavericks have the narrowest model advantage, while Los Angeles Lakers face an opponent with a winning record. All start times below are Mountain Time.

NBA predictions today: all seven picks ranked

Here are the key numbers, ordered by the model’s estimated likelihood of a win:

• Philadelphia 76ers: 74.1%, High confidence, at Chicago Bulls. Start: 1:30 PM MT; projected total: 240.8.
• Minnesota Timberwolves: 72.9%, High confidence, hosting Utah Jazz. Start: 5:00 PM MT; projected total: 229.1.
• Miami Heat: 72.1%, High confidence, at Sacramento Kings. Start: 7:00 PM MT; projected total: 237.9.
• New Orleans Pelicans: 67.3%, High confidence, at LA Clippers. Start: 7:00 PM MT; projected total: 238.6.
• Boston Celtics: 65.1%, Medium confidence, at Milwaukee Bucks. Start: 6:00 PM MT; projected total: 213.1.
• Los Angeles Lakers: 60.9%, Medium confidence, at Detroit Pistons. Start: 4:00 PM MT; projected total: 212.9.
• Dallas Mavericks: 56%, Medium confidence, hosting Brooklyn Nets. Start: 5:30 PM MT; projected total: 232.3.

These rankings describe win likelihood. Without market odds or betting lines, they do not establish which selection offers the best betting value or whether a projected total supports an over or under.

Philadelphia 76ers and Minnesota Timberwolves lead

Philadelphia 76ers at Chicago Bulls pairs an 8-1 visitor riding five consecutive wins with a 1-7 host on a six-game losing streak. The projection is Chicago Bulls 107.5, Philadelphia 76ers 133.3, with a 240.8 total—the highest on this slate.

The records and recent form point in the same direction as the model’s leading pick. Still, Chicago Bulls retain a 25.9% win probability, so the High confidence label should not be read as certainty.

Availability matters on both sides. Chicago Bulls list Nic Claxton out, with Zach Collins and Jalen Smith day-to-day. Philadelphia 76ers list Adem Bona, Ariel Hukporti and Dominick Barlow out.

Utah Jazz at Minnesota Timberwolves presents another substantial record gap. Minnesota Timberwolves are 6-3 with two straight wins; Utah Jazz are 1-7 with six straight losses. The projected score is Minnesota Timberwolves 125, Utah Jazz 104.1.

The 72.9% home pick comes alongside a notable availability list: Terrence Shannon Jr., Anthony Edwards, Donte DiVincenzo and Joan Beringer are out for Minnesota Timberwolves. Jusuf Nurkic and Trey Alexander are out for Utah Jazz. The estimate favors the home side strongly, but those absences remain important context rather than details to overlook.

Miami Heat and New Orleans Pelicans: road favorites

Miami Heat at Sacramento Kings carries a 72.1% probability for Miami Heat despite their 3-5 record. Sacramento Kings are 1-7 and coming off a loss, while Miami Heat enter after a win.

The projection is Sacramento Kings 113.4, Miami Heat 124.5, producing a 237.9 total. Sacramento Kings list Maxime Raynaud, Ben Simmons, De'Andre Hunter and Keegan Murray out. No availability notes are supplied for Miami Heat; that should not be treated as confirmation of full availability.

New Orleans Pelicans at LA Clippers features contrasting streaks. New Orleans Pelicans have won four straight to reach 4-4, while LA Clippers are 1-7 after seven consecutive losses.

The model assigns New Orleans Pelicans a 67.3% win probability and projects LA Clippers 115.1, New Orleans Pelicans 123.5. LA Clippers list Yanic Konan Niederhauser, Bradley Beal, Jordan Miller and Brandon Ingram out. Yves Missi is out for New Orleans Pelicans. This remains a High confidence pick, but its win probability sits below the leading three selections.

Boston Celtics and Los Angeles Lakers: medium-confidence picks

Boston Celtics at Milwaukee Bucks has a 65.1% road-win estimate. Boston Celtics are 6-2 and coming off a win; Milwaukee Bucks are 1-7 with four straight losses. The projection is Milwaukee Bucks 100.9, Boston Celtics 112.2, with a 213.1 total. Devin Carter is out for Boston Celtics, while Kam Jones is day-to-day for Milwaukee Bucks.

Los Angeles Lakers at Detroit Pistons is a meeting of winning records: Los Angeles Lakers are 7-2 with three straight wins, and Detroit Pistons are 6-2 after a loss. The model favors Los Angeles Lakers at 60.9%, projecting Detroit Pistons 104, Los Angeles Lakers 108.9.

That 212.9 projected total is the slate’s lowest. Detroit Pistons list Isaiah Joe and Jalen Duren out. Their 39.1% win probability also makes clear that this is a more competitive forecast than the leading picks.

Dallas Mavericks face the closest model matchup

Brooklyn Nets at Dallas Mavericks has the smallest probability advantage on the slate: Dallas Mavericks are favored at 56%, with Brooklyn Nets at 44%. The projection is Dallas Mavericks 118.4, Brooklyn Nets 113.9.

Dallas Mavericks are 4-4 with two consecutive losses; Brooklyn Nets are 2-6 and coming off a win. Dereck Lively II, Sergio de Larrea and Tarik Biberovic are out for Dallas Mavericks. Brooklyn Nets list Egor Demin and Tyler Bilodeau out, with Day'Ron Sharpe day-to-day. This is the least decisive model selection, despite its Medium confidence classification.

How to use Advance or Exit models and run your own simulations

Advance or Exit’s forecasts express each matchup through win probabilities, projected scores, a projected total and a confidence label. Read those outputs together: a projected scoring gap and a win probability answer different questions, and neither guarantees an outcome.

The supplied data does not specify model architecture, simulation counts or how individual absences are weighted. It therefore cannot support claims about exactly how much a player’s status changes a forecast.

To run your own simulations, use these matchup forecasts as a comparison baseline, document your assumptions and distinguish confirmed absences from day-to-day listings. Compare your resulting win estimates and scoring projections with the published numbers rather than treating one simulated result as a prediction.