NBA

Boston Celtics vs Charlotte Hornets

Wednesday, October 14, 2026 · 23:30 UTC

Match completed

Boston Celtics hosted Charlotte Hornets in the NBA on Wednesday, October 14, 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 8 wins for Boston Celtics against 2 for Charlotte Hornets. That gives Boston Celtics the historical edge in this matchup. Meetings between the two average 230.3 points per game. Their most recent meetings on record: Boston Celtics 131-98 Charlotte Hornets (2024-04-12); Charlotte Hornets 104-118 Boston Celtics (2024-04-01); Charlotte Hornets 121-118 Boston Celtics (2023-11-21).

DateHomeScoreAway
2024-04-12Boston Celtics131-98Charlotte Hornets
2024-04-01Charlotte Hornets104-118Boston Celtics
2023-11-21Charlotte Hornets121-118Boston Celtics
2023-02-11Boston Celtics127-116Charlotte Hornets
2023-01-16Charlotte Hornets118-130Boston Celtics

Recent form

Boston Celtics come into this one having won 0 and lost 1 of their last 1 (L). Over that run they have scored 111 points and conceded 89. That works out to a 0% form rating over the period.

Charlotte Hornets come into this one having won 0 and lost 1 of their last 1 (L). Over that run they have scored 129 points and conceded 112. That works out to a 0% form rating over the period.

Team statistics

Boston Celtics carry an Elo rating of 1725 in our model, and have won 60% of their recent games. Charlotte Hornets carry an Elo rating of 1503 in our model, and have won 40% of their recent games.

Boston Celtics

Recent formWWWWLLLWWL
Win rate60%
Elo rating1725
Avg scored (recent)113
Avg conceded (recent)106.7

Charlotte Hornets

Recent formLLWLLWWLLW
Win rate40%
Elo rating1503
Avg scored (recent)103.7
Avg conceded (recent)112.7

🤖 The BetEX AI verdict on Boston Celtics vs Charlotte Hornets

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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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