NBA Forecast

Top Predicted Records In The League:

West:

1 Oklahoma City Thunder (62-20)

2 San Antonio Spurs (56-26) (tied)

2 Minnesota Timberwolves (56-26) (tied)

East:

1 Detroit Pistons (53-29)

2 Cleveland Cavaliers (52-30) (tied)

2 Boston Celtics (52-30) (tied)

2 New York Knicks (52-30) (tied)

Predicted Standings and Lottery (1/16)

East
1st seedDET53-29
2nd seedNYK52-30
3rd seedBOS52-30
4th seedCLE52-30
5th seedPHI51-31
6th seedMIA47-35
7th seedATL47-35
8th seedORL45-37
9th seedTOR40-42
10th seedCHA37-45
11th seedMIL36-46
12th seedCHI34-48
13th seedBKN26-56
14th seedWAS26-56
15th seedIND19-63

Projected Draft Lottery

1st PickINDEAST
2nd PickOKC (via LAC)WEST
3rd PickUTAWEST
4th PickBKNEAST
5th PickSACWEST
6th PickWASEAST
7th PickNOPWEST
8th PickCHIEAST
9th PickDALWEST
10th PickMILEAST
11th PickCHAEAST
12th PickMEMWEST
13th PickPHXWEST
14th pickTOREAT
West
1st seedOKC62-20
2nd seedSAS56-26
3rd seedMIN56-26
4th seedHOU51-31
5th seedLAL47-35
6th seedDEN47-35
7th seedPOR43-39
8th seedGSW41-41
9th seedMEM39-43
10th seedPHX37-45
11th seedDAL34-48
12th seedNOP30-52
13th seedSAC27-55
14th seedLAC32-59
15th seedUTA18-64

Methodology

This forecast of both standings and draft lottery was generated using a Monte Carlo season simulator designed to project final standings from the midpoint of the NBA season. Each simulation run iterates through the remaining schedule game by game. Games that have already been played are treated as fixed results, while unplayed games are simulated by randomly generating team scores within predefined scoring bounds. These bounds were calculated using various team statistics including but not limited to scoring range and variability. This creates realistic per-team performance windows rather than assuming every matchup is purely random or determined by a single rating.

A total of 8,400 full-season simulations were run to produce probability-weighted outcomes for every team’s final win total. Final projected records were determined using the median win result across all simulations (with losses implied by subtracting wins from 82), which reduces the influence of extreme outlier seasons. Lottery outcomes were simulated as a separate extension, using the projected lottery order as input and repeatedly running the NBA lottery odds table to generate pick distributions. Median pick positions were then used to estimate each team’s most likely draft outcome, forming the final projected lottery results.