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Oklahoma City Thunder VS Milwaukee Bucks

2 days ago
Reads 20
Plan Details
【Winner】20 hours agoNBA
Oklahoma City Thunder
Oklahoma City Thunder
93 : 110
Milwaukee Bucks
Milwaukee Bucks
Home Win
1.14
Guest Win
5
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This odds are at the time of recommendation, not real-time odds
Recommend Reasons
Description

This NBA regular season game will be played at the home of the Oklahoma City Thunder on Friday, February 13, 2026 at 8:30 a.m. (Manila time, Philippines), with the home team Oklahoma City Thunder playing the away team Milwaukee Bucks. According to the outcome odds provided by the user, the home win odds are 1.14.

Recent Records

Oklahoma City Thunder: You need to pay attention to the win-loss record, offensive efficiency, defensive performance and key player form in the last 5-10 games before the game. Milwaukee Bucks: It is also necessary to analyze its recent game trends, away performances, core player play and team health. The specific data needs to be updated according to the actual situation before the game.

Historical head-to-head

review of the two teams' head-to-head records over the past few seasons, analyzing the win-loss distribution, point difference characteristics, whether the home advantage is obvious, and the mutual restraint relationship in tactical style.

Odds:

The odds of this winning hand are 1.14 for the home win. This odds structure shows that bookmakers are extremely optimistic about the home team Oklahoma City Thunder winning, with low odds and a high theoretical probability of winning.

The prediction

is based on extremely low home win odds (1.14), and the data level strongly points to the Oklahoma City Thunder as the favorites to win this game. Predictions need to be combined with the actual roster integrity, competitive form and tactical deployment of the two teams at that time, but the odds advantage suggests that the Thunder are widely favored at home.

Do Not Bet

This analysis is for sports research purposes only and does not constitute any betting advice. Please look at sports competition and data analysis rationally.

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