Over 2.5 as clear favourite looks the logical outcome: Sparta’s attack is 11% above average, giving the visitors a credible route to goal, while Olympiacos’ home setting should encourage a response if pressure builds. Their defensive strength may delay the breakthrough, but the matchup has a path to an open finish.
Match GoalsOver 2.5
Лучший выбор
Меньше 2.5
56%
Точный счёт
Отличная
1-1
12.8%
8.00
Отличная
1-0
11.8%
7.50
0-1
9.5%
17.00
2-1
8.7%
8.50
0-0
8.7%
12.00
2-0
8%
7.00
1-2
6.9%
21.00
0-2
5.1%
34.00
143%
1.44TOP
X27%
4.50
230%
7.00
1X70%
X257%
1273%
Экспресс
4 выборов
Olympiacos’ home edge and defensive steel should tilt this Europa League clash their way, while Sparta’s solid attack can help turn it into an open, high-scoring contest. With both sides likely to drive forward and keep the corner count climbing, Yaremchuk looks poised to make the pressure count and find the net.
1GoalscorersAnytime
2Match WinnerOlympiacos FC
3Match GoalsOver 2.5
4Corners Over/UnderOver 8.5
Confirmed XI4-5-1
1
Ortega
2
Saliakas
45
Retsos
5
Pirola
70
Onyemaechi
19
Freuler
32
Hezze
10
Martins
22
Chiquinho
20
Silva
11
Yaremchuk
Impact Player Hot Head
Olympiacos F.C.32 игроков
57.8/ 99Сильный
Лучшие
1Mehdi TaremiFWD92
2Christos MouzakitisMID85
3Lorenzo ScipioniMID78
Sparta Praha33 игроков
47.2/ 99Средний
Лучшие
1Ebrima SinghatehFWD84
2Roman MacekMID68
3Jonatan Braut BrunesFWD64
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Mehdi TaremiOlympiacos F.C.
99
2
Ebrima SinghatehSparta Praha
84
3
Lukas Haraslin Sparta Praha
84
4
Ayoub El KaabiOlympiacos F.C.
81
5
Jota SilvaOlympiacos F.C.
70
Стена
Лучшие защитники
1
Lorenzo PirolaOlympiacos F.C.
68
2
Panagiotis RetsosOlympiacos F.C.
61
3
David CarmoOlympiacos F.C.
58
4
Adam Sevinsky Sparta Praha
58
5
Tobias GuddalSparta Praha
57
Контроль
Лучшие плеймейкеры
1
Roman MacekSparta Praha
91
2
Christos MouzakitisOlympiacos F.C.
84
3
Matej Rynes Sparta Praha
78
4
Dani GarcíaOlympiacos F.C.
73
5
Andrew IrvingSparta Praha
73
Хулиганы
Склонны к карточкам
1
Adam Sevinsky Sparta Praha
1
Агрессия 31
2
Ki-Jana Hoever Sparta Praha
1
Агрессия 49
3
Andrew IrvingSparta Praha
1
Агрессия 43
4
Pavel Kaderabek Sparta Praha
1
Агрессия 42
5
Sivert MannsverkSparta Praha
1
Агрессия 73
Рейтинг силы
Сильнейшие в целом
1
Mehdi TaremiOlympiacos F.C.
92
2
Christos MouzakitisOlympiacos F.C.
85
3
Ebrima SinghatehSparta Praha
84
4
Lorenzo ScipioniOlympiacos F.C.
78
5
Ayoub El KaabiOlympiacos F.C.
73
Часто задаваемые вопросы
Our Poisson model calculates the probability of every possible scoreline for Olympiacos F.C. vs Sparta Praha 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 Olympiacos F.C. vs Sparta Praha 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 Olympiacos F.C. 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 Olympiacos F.C. vs Sparta Praha 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 Olympiacos F.C. 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.