Olympiacos’ home pressure should keep Kalamata pinned back, with sustained territory and a steady stream of chances creating the breakthrough. As the visitors are drawn forward, the match appears poised to open up, making goals over two and a half the logical outcome.
Match GoalsOver 2.5
Best Pick
Under 2.5
61%
Correct Score
Top
1-0
15.2%
7.50
Top
1-1
12.2%
15.00
2-0
11.1%
5.50
0-0
10.4%
15.00
2-1
8.9%
12.00
0-1
8.3%
41.00
3-0
5.4%
6.00
1-2
4.9%
51.00
153%
1.11TOP
X27%
8.00
221%
23.00
1X80%
X248%
1274%
Combined Bet Builder
3 legs
Olympiacos are the logical match-winner, with 2.04 expected goals against Kalamata’s 0.53 and a defense rated 63% stronger than average. Their 0.91 first-half xG versus 0.20 points to early control and a likely halftime lead; the 2.57 combined xG gives the over 2.5 leg a credible path as Olympiacos’ pressure builds.
1Match WinnerOlympiacos FC
2Match GoalsOver 3.5
3First Half WinnerOlympiacos FC
Confirmed XI3-6-1
1
Ortega
45
Retsos
5
Pirola
71
Tiknizyan
27
Pedersen
19
Freuler
15
Puerta
10
Martins
8
Sá
73
Roca
99
Mouandilmadji
Impact Player Hot Head
Olympiacos FC35 players
58.0/ 99Strong
Top Rated
1Christos MouzakitisMID93
2Mehdi TaremiFWD92
3Lorenzo ScipioniMID84
PAE PS Kalamata21 players
45.1/ 99Average
Top Rated
1Argyrios LiatsikourasMID69
2Junior BakayokoDEF64
3RodriguesDEF60
Player Rankings
Snipers
Top goal threats
1
Mehdi TaremiOlympiacos FC
99
2
Ayoub El KaabiOlympiacos FC
93
3
Jota SilvaOlympiacos FC
81
4
Roman YaremchukOlympiacos FC
79
5
Dawid KurminowskiPAE PS Kalamata
75
Wall
Top defenders
1
RodriguesPAE PS Kalamata
72
2
Stefanos StroungisPAE PS Kalamata
72
3
Junior BakayokoPAE PS Kalamata
60
4
Lorenzo PirolaOlympiacos FC
59
5
A. GuessandPAE PS Kalamata
56
Control
Top playmakers
1
Christos MouzakitisOlympiacos FC
97
2
Dani GarcíaOlympiacos FC
85
3
Lorenzo ScipioniOlympiacos FC
80
4
Santiago HezzeOlympiacos FC
68
5
Konstantinos FortounisOlympiacos FC
65
Bad Boys
Most likely to get booked
1
Djibril DiarraPAE PS Kalamata
1
Aggression 68
2
Gonzalo PiñeiroPAE PS Kalamata
1
Aggression 48
3
Dawid KurminowskiPAE PS Kalamata
1
Aggression 44
4
Juan CataldiPAE PS Kalamata
3
Aggression 43
5
Julio AlonsoPAE PS Kalamata
9
Aggression 63
Power Rankings
Strongest overall
1
Christos MouzakitisOlympiacos FC
93
2
Mehdi TaremiOlympiacos FC
92
3
Lorenzo ScipioniOlympiacos FC
84
4
Ayoub El KaabiOlympiacos FC
82
5
Gustavo PuertaOlympiacos FC
75
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Olympiacos FC vs PAE PS Kalamata 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 FC vs PAE PS Kalamata 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 FC 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 FC vs PAE PS Kalamata 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 FC 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.