· Serie A
Lecce
ATT
3/10
DEF
4/10
1:2
Bologna
7/10
ATT
6/10
DEF
Fine
Migliore scelta
Sotto 2.5
60%
Risultato esatto95′
Eccellente
0-1
14%
6.50
Eccellente
1-1
12.8%
6.00
0-0
10.3%
8.00
0-2
9.6%
9.00
1-0
9.4%
10.00
1-2
8.7%
9.00
2-1
5.8%
15.00
0-3
4.4%
17.00
125%
4.00
X28%
3.62
247%
2.11TOP
1X53%
X275%
1272%
xG — Gol attesi
Lecce
Lecce att.
Bologna
Bologna att.
goal
ogni 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Lecce
Bologna
Confirmed XI4-3-3
30
Falcone
17
Veiga
5
Siebert
44
Gabriel
25
Gallo
29
Coulibaly
20
Ilić
14
Maleh
50
Pierotti
22
Esteban
7
Fatah
Impact Player Hot Head
Lecce27 giocatori
50.4/ 99Medio
Migliori
1Medon BerishaMID72
2Jamil SiebertDEF69
3Mohamed KabaMID64
Bologna32 giocatori
54.1/ 99Medio
Migliori
1Nicolò Casale DEF93
2Nikola MoroMID84
3Martin VitíkDEF78
Classifiche giocatori
Cecchini
Maggior minaccia di gol
1
Samuel MbangulaBologna
92
2
Artem DovbykBologna
82
3
Federico BernardeschiBologna
72
4
Riccardo OrsoliniBologna
60
5
J. EnemBologna
59
Muro
Migliori difensori
1
Nicolò Casale Bologna
90
2
Kialonda GasparLecce
86
3
Jamil SiebertLecce
84
4
Tiago GabrielLecce
78
5
Martin VitíkBologna
68
Controllo
Migliori registi
1
Nikola MoroBologna
96
2
Ivan IlićLecce
66
3
Medon BerishaLecce
65
4
Lewis FergusonBologna
54
5
Oumar NgomLecce
51
Cattivi ragazzi
Più propensi ai cartellini
1
Kialonda GasparLecce
1
2
Ivan IlićLecce
1
3
Konan N’DriLecce
1
4
Benja DomínguezBologna
8
5
Emil Holm Bologna
12
Classifica potenza
Più forti in assoluto
1
Nicolò Casale Bologna
93
2
Nikola MoroBologna
84
3
Martin VitíkBologna
78
4
Samuel MbangulaBologna
78
5
Medon BerishaLecce
72

Domande frequenti

Our Poisson model calculates the probability of every possible scoreline for Lecce vs Bologna 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 Lecce vs Bologna 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 Lecce 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 Lecce vs Bologna 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 Lecce 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.

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