NBA

Indiana Pacers vs Milwaukee Bucks

Friday, October 16, 2026 · 23:00 UTC

Match completed

Indiana Pacers hosted Milwaukee Bucks in the NBA on Friday, October 16, 2026. This game has finished. Here is how the matchup stacked up — the head-to-head history and the form both teams carried in.

Head-to-head record

These two sides have met 10 times in our head-to-head records, with 5 wins for Indiana Pacers against 5 for Milwaukee Bucks. Historically this fixture could hardly be more even. Meetings between the two average 258.7 points per game. Their most recent meetings on record: Indiana Pacers 142-130 Milwaukee Bucks (2024-01-04); Milwaukee Bucks 113-122 Indiana Pacers (2024-01-02); Milwaukee Bucks 140-126 Indiana Pacers (2023-12-14).

DateHomeScoreAway
2024-01-04Indiana Pacers142-130Milwaukee Bucks
2024-01-02Milwaukee Bucks113-122Indiana Pacers
2023-12-14Milwaukee Bucks140-126Indiana Pacers
2023-12-07Milwaukee Bucks119-128Indiana Pacers
2023-11-10Indiana Pacers126-124Milwaukee Bucks

Recent form

Indiana Pacers come into this one having won 0 and lost 1 of their last 1 (L). Over that run they have scored 130 points and conceded 134. That works out to a 0% form rating over the period.

Milwaukee Bucks come into this one having won 0 and lost 1 of their last 1 (L). Over that run they have scored 94 points and conceded 122. That works out to a 0% form rating over the period.

Team statistics

Indiana Pacers carry an Elo rating of 1325 in our model, and have won 20% of their recent games. Milwaukee Bucks carry an Elo rating of 1285 in our model, and have won 40% of their recent games.

Indiana Pacers

Recent formLLLWLLWLLL
Win rate20%
Elo rating1325
Avg scored (recent)113.7
Avg conceded (recent)117.5

Milwaukee Bucks

Recent formWLLWLLWLLW
Win rate40%
Elo rating1285
Avg scored (recent)111
Avg conceded (recent)118.1

🤖 The BetEX AI verdict on Indiana Pacers vs Milwaukee Bucks

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How BetEX AI analyses this fixture

BetEX AI runs every fixture on this page through an ensemble of statistical models — Elo-style team ratings, scoring-rate (lambda) models and head-to-head history — refreshed daily from live competition data. The ensemble produces a win probability for each outcome, a confidence score, and flags games where the model's probability disagrees with the bookmaker line by enough to matter. Those outputs are reserved for members; everything above comes from the same underlying match data.

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