Andebol 1
Prediction for Porto — ABC Braga
72%
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Mineros
Diablos Rojos
Prediction for
Win: Diablos Rojos
50%
probability
Outcome probabilities (1X2) · by our model
Prediction fixed and will not change after kick-off
Form last 5 matches
Head to head 5
Bookmaker market
No bookmaker data
Analytical content. Not a call to gamble. 18+
Prediction commentary
Based on data as of 9 Sep, 03:22The visitors have dominated this fixture recently, winning 4 of the last 5 meetings, and they took the first leg of this season's pairing 81:75 on 10 September. The model puts them at 84.1 expected points against Mineros' 83.6 — a margin small enough to hinge on execution, but one that favours the side with the psychological edge.
Mineros have been inconsistent at home. Their last five matches include two wins and three defeats, and in their most recent outing they lost 75:81 to Diablos Rojos on their own court. They beat Dorados 92:82 away before that, but dropped 71:95 in the same double-header. At home they took Panteras 98:78 then lost 93:95 to the same side.
Diablos Rojos have looked sharper. Three wins and two losses in their last five, including a 97:87 victory over Santos at home on 30 August. They beat Abejas 75:73 away but lost 73:81 in the return fixture. — yet they showed resilience beating Gambusinos 71:66 on the road.
The head-to-head record tells the story. Diablos Rojos have won 4 of the last 5 meetings, including both encounters at Mineros' arena this season. On 16 August 2025 they took 92:85, and on 10 September this year 81:75. Mineros' only victory in that span came 82:64 at home on 15 August 2025.
Statistical averages support the view. Mineros score 61.88 points per game and concede 53.63, while Diablos Rojos average 66.6 scored and 55.3 conceded across more matches. The model's expected points — 83.6 for Mineros, 84.1 for Diablos Rojos — reflect the higher-scoring nature of basketball compared to football, but the 0.5-point gap is where the prediction sits.
A home crowd that stays engaged could also shift momentum, though the data does not quantify that factor.
The model expects 0% probability of a draw — standard for basketball — and 0% for both teams to score, which is a football metric irrelevant here.