By Prodict Editorial TeamAI-assisted, human-reviewed
July 29, 2026
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Brann vs Universitatea Cluj Predictions & AI Betting Tips

Analyse pré-match

This is the second leg of a Conference League qualifying tie that finished 2-2 in Romania, so the aggregate is level and both sides arrive with genuine motivation to avoid extra time/penalties. Brann sit mid-table in Eliteserien (8th, 15 played) with a mediocre home league record (3W-0D-4L) but a much stronger away scoring rate (2.4/match), while Cluj have only played two Liga I matches this season (W1L1), making their domestic sample very thin and their true current level hard to pin down. The market prices Brann as a heavy favourite (1.40), which looks somewhat inflated given the competitive first-leg draw and Brann's inconsistent home form, so we treat the outright result with caution and look for value in deeper markets instead. Brann's attacking numbers are solid — 2.0 goals/match, BTTS hit in 87% of their 15 league games, and they failed to score in only 1 of those matches — while their discipline record is clean at just 1.47 cards/match, a very reliable low-card profile built over a large sample. Cluj's cup leg showed they can trade goals with Brann (2-2, both teams scoring), and their measured corner/shot data, though based on only 1-2 matches, suggests a fairly open, end-to-end game rather than a defensive lockout. The clearest, most data-backed angles are: goals continuing to flow in the second half (Brann's strongest scoring/conceding period), Brann's home cards staying under their well-established season average, both teams finding the net again as they did in the first leg, and a moderate total corner count in the high single digits given the blended corner averages of both sides. Main uncertainties are Cluj's tiny sample size, unknown precise tendencies of referee Erceg, and the extra intensity of a knockout decider that could push cards or aggression above season norms — overall we lean toward a narrow, goal-involved Brann win but flag this as a genuinely competitive, not clear-cut, fixture.

Aperçus de la saison
Données calculées à partir de tous les matchs de la saison
BrannBrann
VS
Universitatea ClujUniversitatea Cluj
1/1
Plus de 2,5 buts
1/1
1/1
Les deux équipes ont marqué
1/1
0/1
Moins de 3,5 buts
0/1
0/1
A marqué en premier
0/1
0/1
Clean sheet
0/1
0/1
N'a pas marqué
0/1
1/1
Moins de 4,5 cartons
1/1
2
Moy. cartons/match
3
Buts par minute
Distribution des temps de but tout au long de la saison
Brann: 2
Universitatea Cluj: 2
Total: 4

Analyse générée par IA — Transparente & Vérifiée

Cette prédiction a été générée par le moteur IA de Prodict, analysant 330+ métriques statistiques.

Facteurs clés pré-match

  • Aggregate tied 2-2 after a BTTS, Over2.5 first leg in Romania, setting up a genuinely open decider
  • Brann's home league record is only 3W-4L in 7, tempering how strong a favourite they truly are despite short match-winner odds
  • Brann's card discipline is very consistent at 1.47/match over 15 league games, supporting the Under Cards line
  • Universitatea Cluj have played just 2 Liga I matches this season, making their away-day sample extremely thin and uncertain
  • Both teams' season/cup data show heavy second-half goal involvement, favouring 2H Over 0.5 and BTTS markets
Performance de la saison

Statistiques de la ligue

Brann
1
Brann
D
VS
Universitatea Cluj
1
Universitatea Cluj
D
0%
Taux de victoire
0%
0.0
Buts par match
0.0
0.0
Moy. buts encaissés
0.0
0
Clean sheet
0
0
N'a pas marqué
0
2.0
Moy. cartons jaunes
3.0
0.0
Moy. cartons rouges
0.0
0%
Réussite des penaltys
0%
0
Plus longue série de victoires
0

Formations les plus utilisées

Brann

4-3-31 matchs

Universitatea Cluj

4-3-31 matchs

Picks pré-match

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IDEAL

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IDEAL

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VALUE

🔒 Locked Pick

EKSTRA

🔒 Locked Pick

Prodict AI

Équipe Analytique Prodict

Ingénieurs IA Data & Prédiction

Cette analyse est produite par le modèle d'intelligence artificielle principal de Prodict. En traitant des millions de données football historiques et en temps réel, le modèle détecte les paris valeur et les avantages algorithmiques indépendamment du biais humain.

Analyse terminée !

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