Minnesota Timberwolves vs Milwaukee Bucks Prediction

NBA 2026-2027 · 2026-11-02

Minnesota Timberwolves

Home Team
74.9%
VS

Milwaukee Bucks

Away Team
25.1%
2026-2027 Season

Why the Model Favors Minnesota Timberwolves

The factors that drove this prediction, measured in win-probability points.

Starting five +12.1 Minnesota Timberwolves
Home-court advantage +7.6 Minnesota Timberwolves
Season record & ratings +2.9 Minnesota Timberwolves
Recent team form +2.1 Minnesota Timberwolves
Home/road record +2.1 Minnesota Timberwolves

Starting from an even matchup, these factors move the model to 75% for Minnesota Timberwolves. Computed with gradient-based attribution on our neural network, not editorial opinion. How to read this →

Also available in Claude and Perplexity. Query these predictions in plain language: our native connector lets your AI assistant call our models on demand, no code.

Set it up

Player Projections

AI-powered statistical projections for tonight's starters. Click a player to view their full probability distributions.

HOME Minnesota Timberwolves
PTS 10.5 REB 11.1 AST 2.1 3PM 0.0
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
PTS 17.0 REB 5.5 AST 3.8 3PM 1.7
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
PTS 17.7 REB 5.9 AST 3.8 3PM 1.7
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
PTS 14.5 REB 4.7 AST 2.4 3PM 1.7
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
PTS 16.0 REB 3.8 AST 6.1 3PM 2.5
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
AWAY Milwaukee Bucks
PTS 15.2 REB 6.5 AST 2.7 3PM 1.5
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
PTS 11.6 REB 6.4 AST 2.4 3PM 1.6
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
PTS 9.4 REB 5.3 AST 1.8 3PM 1.4
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
PTS 12.3 REB 4.3 AST 3.5 3PM 1.8
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)
PTS 19.9 REB 4.8 AST 3.3 3PM 2.8
Distribution (PDF)
Cumulative Probability: P(Points > X)
Distribution (PDF)
Cumulative Probability: P(Rebounds > X)
Distribution (PDF)
Cumulative Probability: P(Assists > X)
Distribution (PDF)
Cumulative Probability: P(3-Pointers Made > X)

Starting Five Matchup

PG
Rudy Gobert
OR
99.2
DR
101.5
PTS
7.0
VS
Jaime Jaquez Jr.
OR
115.7
DR
122.7
PTS
16.2
SG
Ayo Dosunmu
OR
117.1
DR
106.3
PTS
15.3
VS
Kyle Kuzma
OR
105.8
DR
120.3
PTS
11.3
SF
Jaden McDaniels
OR
127.6
DR
107.0
PTS
17.3
VS
Myles Turner
OR
78.3
DR
118.2
PTS
7.2
PF
Jonathan Kuminga
OR
121.4
DR
105.7
PTS
12.9
VS
Ryan Rollins
OR
100.5
DR
123.2
PTS
11.2
C
LaMelo Ball
OR
106.6
DR
103.1
PTS
14.4
VS
Tyler Herro
OR
115.0
DR
123.0
PTS
22.0
OR = Offensive Rating · DR = Defensive Rating (lower is better) · PTS = Avg Points Per Game

Key Prediction Insights

Minnesota is favored at 75 percent, with the projection pointing to a clear home win. The expected starters are Rudy Gobert, Ayo Dosunmu, Jaden McDaniels, Jonathan Kuminga and LaMelo Ball for Minnesota, and Jaime Jaquez Jr., Kyle Kuzma, Myles Turner, Ryan Rollins and Tyler Herro for Milwaukee. Minnesota’s starting group and home floor are the strongest parts of the case, with season ratings and recent form also leaning its way.

Total Points and Spread Analysis

The projected 232 combined points point to a high-scoring game. Minnesota is forecast to win by about 15, a comfortable margin rather than a close finish.

🏀 Total Points Predictions

🏀
Expected Total Points in Game 232.2 Most likely outcome: 232 points
📊 Total Points Probability Distribution
Distribution

Probability of each total points outcome

Probability distribution bar chart for total combined points in the Minnesota Timberwolves versus Milwaukee Bucks NBA game. The X-axis shows possible total points values, and the Y-axis shows the predicted probability percentage for each outcome.
Cumulative Probability (CDF)

Probability of total points ≤ X

Cumulative distribution function (CDF) chart for total points in Minnesota Timberwolves versus Milwaukee Bucks. The curve rises from 0% to 100%, showing the cumulative probability that the game total will be at or below each points threshold.

📈 Spread Predictions

📈
Expected Spread (Minnesota Timberwolves - Milwaukee Bucks) 14.8 Most likely outcome: 15 points
📊 Spread Probability Distribution
Distribution

Probability of each spread outcome

Probability distribution bar chart for the point spread (home minus away) in the Minnesota Timberwolves versus Milwaukee Bucks NBA game. Positive values indicate a home team lead, negative values an away team lead.
Cumulative Probability (CDF)

Probability of spread ≤ X

Cumulative distribution function (CDF) chart for the point spread in Minnesota Timberwolves versus Milwaukee Bucks. The curve rises from 0% to 100%, showing the cumulative probability for each spread threshold.

ELO Rating Trends

ELO rating progression chart for Minnesota Timberwolves (orange) and Milwaukee Bucks (blue) over their most recent games. The Y-axis shows each team's ELO rating and the X-axis shows game dates. Higher values indicate stronger performance.

Both teams’ ratings are falling over the last five games: Minnesota has slipped 22 points and Milwaukee 20, so neither enters with upward momentum.

Minnesota Timberwolves

1514.0 -21.9 over 5 games
Date Opponent ELO Change
2026-10-31 San Antonio Spurs 1514.0 -10.0
2026-10-30 Los Angeles Clippers 1524.0 +10.2
2026-10-28 Golden State Warriors 1513.8 -11.8
2026-10-26 Cleveland Cavaliers 1525.6 -10.3
2026-10-25 Toronto Raptors 1535.9 -

Milwaukee Bucks

1458.4 -20.0 over 5 games
Date Opponent ELO Change
2026-10-31 Cleveland Cavaliers 1458.4 -11.5
2026-10-28 Houston Rockets 1469.9 -11.0
2026-10-26 Indiana Pacers 1480.9 +11.0
2026-10-24 Philadelphia 76ers 1469.9 -8.5
2026-10-23 Chicago Bulls 1478.4 -

NBA ELO Power Rankings

Curious how these teams stack up league-wide? Check the full ELO standings, progression charts, and conference breakdowns.

View Full ELO Standings

Recent Form: Last 5 Games

Minnesota Timberwolves

2-3 in last 5
L W L L W
Opponent PF PA Diff
San Antonio Spurs 111 121 -10
Los Angeles Clippers 127 101 +26
Golden State Warriors 114 119 -5
Cleveland Cavaliers 125 127 -2
Toronto Raptors 117 94 +23

Milwaukee Bucks

1-4 in last 5
L L W L L
Opponent PF PA Diff
Cleveland Cavaliers 111 136 -25
Houston Rockets 100 132 -32
Indiana Pacers 110 102 +8
Philadelphia 76ers 116 127 -11
Chicago Bulls 125 132 -7

Game Analysis

Minnesota’s projected starting group is the clearest separator. Jaden McDaniels averages 17 points, adding scoring to a lineup whose listed players have stronger defensive numbers overall. Tyler Herro is Milwaukee’s top listed scorer at 22 points per game, but his defensive numbers are among the weakest in the projected five. Home court adds to Minnesota’s advantage, and the recent results offer a contrast: the Timberwolves have won once in three games, while Milwaukee is coming off two heavy losses, including a 25-point defeat to Cleveland. Neither team has been consistently strong lately, but the Bucks’ recent slide has included the more pronounced setbacks.

Final Prediction

Herro’s scoring is Milwaukee’s clearest route to making the forecast less comfortable for Minnesota. If he can keep the Bucks’ offense productive against a stronger-looking Timberwolves lineup, the projected margin could shrink.

Get Daily NBA Predictions

Enjoyed this analysis? Subscribe to our Telegram channel and receive daily AI-driven NBA predictions directly on your phone.

Join Our Telegram Channel