· Liga I
U. Cluj
ATT
6/10
DEF
6/10
3:4
Rapid
6/10
ATT
6/10
DEF
Full-time
Best Pick
Home Win
53%
Correct Score94′
Top
1-0
12.1%
9.00
Top
1-1
11.7%
6.50
2-0
10%
13.00
2-1
9.6%
10.00
0-0
7.3%
11.00
0-1
7.1%
8.50
1-2
5.6%
10.00
3-0
5.5%
29.00
153%
1.87TOP
X25%
4.07
222%
4.53
1X78%
X247%
1275%
xG — Expected Goals
U. Cluj
U. Cluj exp
Rapid
Rapid exp
goal
per 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
U. Cluj
Rapid
Confirmed XI4-5-1
1
Lefter
24
Mikanovic
6
Cristea
8
Codrea
27
Chipciu
7
Drammeh
94
Bic
19
Macalou
29
Mendy
11
Ștefănescu
17
Lukic
Impact Player Hot Head
U. Cluj35 players
46.8/ 99Average
Top Rated
1Andrej FabryMID76
2Andrei CoubișDEF68
3Florent PouloloDEF67
Rapid42 players
50.4/ 99Average
Top Rated
1Tobias ChristensenMID79
2Constantin GrameniMID78
3Drilon HazrollajFWD75
Player Rankings
Snipers
Top goal threats
1
Drilon HazrollajRapid
99
2
Filip StojilkovicRapid
78
3
Taiwo OlakunleU. Cluj
62
4
Jason KodorRapid
60
5
Alexandru DobreRapid
59
Wall
Top defenders
1
Andrei CoubișU. Cluj
78
2
Florent PouloloU. Cluj
71
3
Elio CapradossiU. Cluj
69
4
Jonathan CisséU. Cluj
69
5
Lars KramerRapid
68
Control
Top playmakers
1
Tobias ChristensenRapid
72
2
Constantin GrameniRapid
69
3
Andrej FabryU. Cluj
62
4
Ovidiu BicU. Cluj
62
5
Pedro PinhoU. Cluj
59
Bad Boys
Most likely to get booked
1
Dan NistorU. Cluj
1
2
Marius ȘtefănescuU. Cluj
1
3
Daniel GraovacRapid
1
4
Robert SalceanuRapid
1
5
Alexandru DobreRapid
1
Power Rankings
Strongest overall
1
Tobias ChristensenRapid
79
2
Constantin GrameniRapid
78
3
Andrej FabryU. Cluj
76
4
Drilon HazrollajRapid
75
5
Léo BolgadoRapid
69

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for U. Cluj vs Rapid based on each team's expected goals (xG). The top-3 most likely scorelines are shown above with their probability percentages. Even the highest-probability score rarely exceeds 12-15% chance, as football is a low-scoring sport.

The Bet Builder combines multiple selections from the U. Cluj vs Rapid match into one bet. Our AI identifies outcomes that complement each other — for example, a home win paired with over 2.5 goals and both teams to score. All selections must win for the combined bet to pay out, which means higher combined odds but also higher risk.

xG (expected goals) measures the quality of scoring chances. If U. Cluj has an xG of 1.8, it means they are expected to score around 1-2 goals based on chance quality. The model uses pre-match xG to build a probability table for all possible scorelines. A team can overperform xG (score more than expected) or underperform xG (score fewer).

Yes, all predictions on ProSoccer are completely free. You can view predicted scorelines, over/under probabilities, and bet builder suggestions for U. Cluj vs Rapid without paying or registering. Odds values are revealed after a tap to keep the page compliant with search engine guidelines.

A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives U. Cluj a 55% chance of winning but the odds imply only 40%, that is a value bet. Our AI highlights selections where the model probability exceeds the implied probability from the odds.

AI predictions use statistical modeling (Poisson distribution) based on historical data and pre-match metrics. They are more reliable over large samples than for any single match. No prediction is guaranteed — football has inherent unpredictability. Our model typically identifies the correct top-3 scorelines in 25-30% of matches, which is significantly better than random chance.

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