Both sides project a steady stream of chances, and Levadeiakos’ leaky back line gives Asteras a clear route to breakthrough. The hosts’ attack may lack sharpness, but neither team looks equipped to shut the contest down; as the game opens, a second goal appears the likeliest outcome.
Match GoalsOver 1.5
Лучший выбор
Меньше 2.5
57%
Точный счёт
Отличная
1-1
12.8%
6.50
Отличная
1-0
12.3%
6.50
0-1
9.4%
10.00
0-0
9%
8.00
2-1
8.7%
9.00
2-0
8.4%
8.50
1-2
6.7%
15.00
0-2
4.9%
19.00
144%
1.95TOP
X27%
3.25
229%
4.00
1X71%
X256%
1273%
Экспресс
3 выборов
Asteras’ home edge and Levadeiakos’ defence, 19% weaker than average, make the hosts-or-draw the logical side. Combined xG is 2.37, supporting Over 1.5 goals, while projected corners total 9.02—above the 7.5 line—so the full builder looks well aligned with the matchup.
1Double ChanceAsteras Tripolis or Draw
2Match GoalsOver 1.5
3Corners Over/UnderOver 7.5
Confirmed XI5-3-2
1
Papadopoulos
74
Laskaris
16
Brorsson
6
Chrysopoulos
27
Kotsiras
28
Méndez
14
Chicco
10
González
11
Kalvin
7
Bartolo
9
Macheda
Impact Player Hot Head
Asteras Tripolis25 игроков
51.5/ 99Средний
Лучшие
1Dimitrios KourbelisMID77
2Eder GonzálezMID77
3Dimitris LaskarisDEF67
Levadiakos27 игроков
52.8/ 99Средний
Лучшие
1Mahamadou Balde FWD83
2Georgios KornezosDEF74
3Alexandru PanteaDEF68
Рейтинги игроков
Снайперы
Главные голевые угрозы
1
Mahamadou Balde Levadiakos
89
2
Moses David Cobnan Levadiakos
52
3
Ognjen OzegovicLevadiakos
52
4
Nikolaos Kaltsas Asteras Tripolis
48
5
Agustín UrziLevadiakos
45
Стена
Лучшие защитники
1
Georgios KornezosLevadiakos
91
2
Giannis TsivelekidisLevadiakos
79
3
Jordan SilvaAsteras Tripolis
60
4
A. TereziouAsteras Tripolis
59
5
Franz BrorssonAsteras Tripolis
59
Контроль
Лучшие плеймейкеры
1
Lamarana JallowLevadiakos
83
2
Dimitrios KourbelisAsteras Tripolis
74
3
Giannis KostiLevadiakos
74
4
Giannis BouzoukisAsteras Tripolis
72
5
Eder GonzálezAsteras Tripolis
71
Хулиганы
Склонны к карточкам
1
Nikolaos Kaltsas Asteras Tripolis
1
Агрессия 59
2
Lamarana JallowLevadiakos
1
Агрессия 55
3
Christos PapadopoulosLevadiakos
3
Агрессия 99
4
Giannis BouzoukisAsteras Tripolis
13
Агрессия 80
5
Mohamed ElnenyLevadiakos
19
Агрессия 49
Рейтинг силы
Сильнейшие в целом
1
Mahamadou Balde Levadiakos
83
2
Dimitrios KourbelisAsteras Tripolis
77
3
Eder GonzálezAsteras Tripolis
77
4
Georgios KornezosLevadiakos
74
5
Alexandru PanteaLevadiakos
68
Часто задаваемые вопросы
Our Poisson model calculates the probability of every possible scoreline for Asteras Tripolis vs Levadiakos 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 Asteras Tripolis vs Levadiakos 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 Asteras Tripolis 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 Asteras Tripolis vs Levadiakos 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 Asteras Tripolis 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.