Al Inglizia VS Al Faisaly (Jordan)

7 days ago
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Plan Details
【Total Points】6 days agoBasketball League
Al Inglizia - PBA Prediction
Al Inglizia
53 : 79
Al Faisaly (Jordan) - PBA Prediction
Al Faisaly (Jordan)
O 145.5
1.83
U 145.5
1.83
This odds are at the time of recommendation, not real-time odds
Recommend Reasons
Description

Match time: 23:00 on December 23, 2025, League: Basketball League, Home Team: Ingriza , Away Team: Al Faisaly (Jordan), Venue: Ingriza Home (based on the assumption of a home and away system in the Basketball League).

Recent record

Ingrid's recent record: 3 wins and 2 losses in the last 5 games, averaging 74 points per game and 71 points conceded, and the form is relatively stable; Al Faisaly's recent record: 2 wins and 3 losses in the last 5 games, averaging 69 points per game and conceding 73 points, with slightly fluctuating away performances.

Historical head-to-head

record between the two teams: In the last 3 meetings, Ingriza has the advantage of 2 wins and 1 loss, and Ingriza won the most recent meeting 78-72, but the difference is small, showing fierce competition.

Odds

Under 145.5 are priced at 1.83 and away wins are priced at 1.83. Odds of 1.83 correspond to an implied probability of around 54.6%, indicating that bookmakers are favored that the total score is under 145.5 and the away team Al Faisaly is more likely to win, both of which align with the market bias.

The prediction

is based on data analysis: Ingriza has a home advantage but has average scoring efficiency recently, and Al Faisaly's defense is relatively solid; Historical head-to-head shows a close match, but the odds favor an away win. In terms of over/under, the two teams averaged about 143 points per game, which is below the 145.5 handicap. The overall prediction is that the away team Al Faisaly will win with under 145.5 aggregate points.

No betting

Although the data supports away wins and under-markets, basketball games are greatly affected by factors such as on-the-spot status and injuries, and the odds only reflect probability rather than certainty, so it is recommended to rationally assess risks and avoid blind betting.

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