Juventus arrive full of confidence at the top of the table, with a potent attack and 2.00 xG pointing to sustained pressure. Rennes may sit 13th, but their strong attack can exploit openings, while a defense rated 29% weaker than average looks vulnerable. With Europa League qualification stakes driving both sides, goals should follow.
Match GoalsOver 2.5
Best Pick
Home Win
58%
Correct Score
Top
1-1
10.4%
8.00
Top
1-0
10.2%
8.00
2-1
9.9%
8.50
2-0
9.8%
8.00
3-1
6.3%
12.00
3-0
6.2%
11.00
0-1
5.4%
17.00
0-0
5.3%
13.00
158%
1.55TOP
X22%
4.20
220%
6.00
1X80%
X242%
1278%
Combined Bet Builder
3 legs
Juventus look set to take charge at home: their powerful attack should find joy against Rennes’ leaky back line, while the visitors have enough threat to help push this beyond two goals. With Juve expected to create plenty, Kolo Muani looks primed to get on the scoresheet as the hosts close in on the win.
1Match WinnerJuventus
2Match GoalsOver 2.5
3GoalscorersAnytime
Confirmed XI4-5-1
25
Vicario
15
Kalulu
4
Gatti
6
Kelly
2
Çelik
12
Luiz
29
Sarr
20
Cambiaso
22
McKennie
17
Alajbegovic
27
Woltemade
Impact Player Hot Head
Juventus34 players
56.9/ 99Strong
Top Rated
1Douglas LuizMID87
2Manuel Locatelli MID86
3Teun KoopmeinersMID85
Rennes26 players
54.7/ 99Average
Top Rated
1Valentin RongierMID76
2Mahamadou NagidaDEF69
3Boulaye DiaFWD69
Player Rankings
Snipers
Top goal threats
1
Edon ZhegrovaJuventus
99
2
Arkadiusz Milik Juventus
83
3
Francisco ConceiçãoJuventus
82
4
Jérémie BogaJuventus
81
5
Nico GonzálezJuventus
80
Wall
Top defenders
1
Anthony RouaultRennes
71
2
Abdelhamid Ait BoudlalRennes
68
3
Charlie CresswellRennes
65
4
Federico GattiJuventus
59
5
Daniele RuganiJuventus
54
Control
Top playmakers
1
Manuel Locatelli Juventus
99
2
Douglas LuizJuventus
86
3
Teun KoopmeinersJuventus
79
4
Fabio MirettiJuventus
75
5
Valentin RongierRennes
75
Bad Boys
Most likely to get booked
1
Estéban LepaulRennes
1
Aggression 18
2
Jhon LucumíJuventus
11
Aggression 40
3
Jérémie BogaJuventus
13
Aggression 21
4
Charlie CresswellRennes
13
Aggression 40
5
Djaoui CisséRennes
13
Aggression 71
Power Rankings
Strongest overall
1
Douglas LuizJuventus
87
2
Manuel Locatelli Juventus
86
3
Teun KoopmeinersJuventus
85
4
Fabio MirettiJuventus
81
5
Khéphren Thuram Juventus
76
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Juventus vs Rennes 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 Juventus vs Rennes 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 Juventus 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 Juventus vs Rennes 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 Juventus 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.