Rennes’ lively home attack meets Olympiacos’ purposeful forward threat, creating a contest with routes to goals at both ends. Despite resilient defenses, sustained pressure and attacking intent make an open, high-scoring finish the likeliest script.
Match GoalsOver 2.5
Лучший выбор
ОБЕ ЗАБЬЮТ
59%
Точный счёт
Отличная
1-1
11.6%
7.00
Отличная
2-1
8.6%
9.00
1-0
8.2%
9.00
1-2
8.2%
11.00
0-1
7.8%
12.00
2-0
6.1%
11.00
2-2
6.1%
13.00
0-0
5.5%
13.00
139%
2.10TOP
X25%
3.50
236%
3.10
1X64%
X261%
1275%
Экспресс
3 выборов
Rennes’ +36% attack power gives them the edge at home, while the teams’ combined 2.53 xG points toward a lively, three-goal contest. Olympiacos’ strong defense is a hurdle, but Rennes’ attack should find a way through, with Esteban Lepaul a credible anytime scorer as the hosts take the win.
1Match WinnerRennes
2Match GoalsOver 2.5
3GoalscorersAnytime
Probable XI3-5-2
Samba
Boudlal
Rouault
Reynolds
Thomasson
Cissé
Marcolino
Blas
Camara
Nordin
Dia
Impact Player Hot Head Shooter
Boulaye Dia — always sniffing around the box — the kind of player who just ends up on the scoresheet
Eliezer Mayenda — the danger man up front — one good ball and he is away
Estéban Lepaul — the danger man up front — one good ball and he is away
Составы ещё не объявлены — полный анализ игроков ниже
Rennes26 игроков
54.5/ 99Средний
Лучшие
1Valentin RongierMID73
2Mahamadou NagidaDEF68
3Ludovic BlasMID68
Olympiacos F.C.33 игроков
57.5/ 99Сильный
Лучшие
1Mehdi TaremiFWD92
2Christos MouzakitisMID90
3Lorenzo ScipioniMID80
Rennes33
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Valentin Rongier73746660
Mahamadou Nagida68477486
Ludovic Blas68555480
Arnaud Nordin67684072
Alidu Seidu 64377091
Bryan Reynolds59465372
Lilian Brassier57454478
Przemyslaw Frankowski56347862
Boulaye Dia56715220
Sebastian Szymański55495757
Eliezer Mayenda55516556
Estéban Lepaul5578171
Issa Soumaré55475273
Olympiacos F.C.45
PlayerОбщий РейтингВлияниеАгрессияДисциплина
Mehdi Taremi92995970
Christos Mouzakitis90887486
Lorenzo Scipioni80739276
Ayoub El Kaabi74812080
Nair Tiknizyan70536079
Armando González69586491
Stefan Ortega6771950
Clayton65596272
Konstantinos Tzolakis6366950
Jota Silva63703950
Gustavo Puerta62516068
Lorenzo Pirola61673864
Leon Bailey 61615856
Прогнозы до матча· Составы ещё не объявлены
Бомбардиры
Нападающие с высоким импактом
1
Estéban Lepaul
Rennes
Импакт
78
2.38
2
Boulaye Dia
Rennes
Импакт
71
2.72
3
Jota Silva
Olympiacos F.C.
Импакт
70
4.66
4
Arnaud Nordin
Rennes
Импакт
68
4.14
5
Roman Yaremchuk
Olympiacos F.C.
Импакт
65
2.84
6
Leon Bailey
Olympiacos F.C.
Импакт
61
3.35
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Mehdi TaremiOlympiacos F.C.
99
2
Ayoub El KaabiOlympiacos F.C.
81
3
Estéban LepaulRennes
78
4
Boulaye DiaRennes
71
5
Jota SilvaOlympiacos F.C.
70
Стена
Лучшие защитники
1
Anthony RouaultRennes
72
2
Abdelhamid Ait BoudlalRennes
71
3
Lorenzo PirolaOlympiacos F.C.
67
4
Charlie CresswellRennes
65
5
Panagiotis RetsosOlympiacos F.C.
62
Контроль
Лучшие плеймейкеры
1
Christos MouzakitisOlympiacos F.C.
88
2
Valentin RongierRennes
74
3
Lorenzo ScipioniOlympiacos F.C.
73
4
Dani GarcíaOlympiacos F.C.
71
5
Santiago HezzeOlympiacos F.C.
59
Хулиганы
Склонны к карточкам
1
Estéban LepaulRennes
1
Агрессия 17
2
Charlie CresswellRennes
10
Агрессия 37
3
Djaoui CisséRennes
16
Агрессия 71
4
Konstantinos FortounisOlympiacos F.C.
18
Агрессия 25
5
Boulaye DiaRennes
20
Агрессия 52
Рейтинг силы
Сильнейшие в целом
1
Mehdi TaremiOlympiacos F.C.
92
2
Christos MouzakitisOlympiacos F.C.
90
3
Lorenzo ScipioniOlympiacos F.C.
80
4
Ayoub El KaabiOlympiacos F.C.
74
5
Valentin RongierRennes
73
Часто задаваемые вопросы
Our Poisson model calculates the probability of every possible scoreline for Rennes vs Olympiacos F.C. 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 Rennes vs Olympiacos F.C. 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 Rennes 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).
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A value bet occurs when the probability of an outcome is higher than what the bookmaker odds suggest. For example, if our model gives Rennes 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.