· LaLiga
Levante
ATT
5/10
DEF
4/10
0:0
Athletic Bilbao
5/10
ATT
4/10
DEF
Scheduled· Wed 21 Oct · 18:00

AI Match Analysis

Both teams look capable of finding a breakthrough: Levante have enough attacking threat at home to make Bilbao work, while Athletic should create chances of their own. Neither defence inspires much confidence, so even if the game starts cautiously, openings should appear at both ends. Both teams to score looks the natural call.

Both Teams to ScoreYes
Best Pick
BTTS
54%
Correct Score
Top
1-1
11.5%
6.00
Top
1-0
10.5%
11.00
2-1
9.6%
12.00
2-0
8.8%
19.00
0-1
6.9%
8.00
1-2
6.3%
9.00
0-0
6.3%
10.00
3-1
5.4%
29.00
151%
1.96TOP
X24%
4.13
225%
4.03
1X75%
X249%
1276%

Combined Bet Builder

3 legs

With both defences looking leaky, Levante and Athletic Bilbao should find the net, making both teams to score and over two and a half match goals feel like the natural script. Athletic’s forward threat and Levante’s home push should keep the pressure coming too, with corners over eight and a half well within reach.

1Both Teams to ScoreYes
2Match GoalsOver 2.5
3Corners Over/UnderOver 7.5
Confirmed XI4-5-1
13
Ryan
29
Gómez
4
Fuente
3
Ndukwe
23
Sánchez
8
Olasagasti
20
Rey
18
Bardeli
27
Cortés
24
Fernández
9
Romero
Impact Player Hot Head
Levante28 players
48.4/ 99Average
Top Rated
1Carlos EspíFWD83
2Hugo SoteloMID64
3Karl Etta EyongFWD63
Athletic Bilbao30 players
51.8/ 99Average
Top Rated
1Mikel VesgaMID88
2Nico SerranoFWD87
3Mikel JauregizarMID76
Player Rankings
Snipers
Top goal threats
1
Carlos EspíLevante
86
2
Nico SerranoAthletic Bilbao
85
3
Kareem TundeLevante
57
4
Karl Etta EyongLevante
53
5
Gorka GuruzetaAthletic Bilbao
53
Wall
Top defenders
1
Adrián de la FuenteLevante
67
2
Yeray Álvarez Athletic Bilbao
63
3
Aymeric LaporteAthletic Bilbao
60
4
Aïssa MandiLevante
59
5
Unai ElgezabalLevante
57
Control
Top playmakers
1
Iñigo Ruiz de GalarretaAthletic Bilbao
88
2
Mikel VesgaAthletic Bilbao
87
3
Hugo SoteloLevante
71
4
Unai VencedorAthletic Bilbao
69
5
Mikel JauregizarAthletic Bilbao
66
Bad Boys
Most likely to get booked
1
K. ArriagaLevante
1
2
Thiago FernándezLevante
1
3
Aïssa MandiLevante
7
4
Álex BerenguerAthletic Bilbao
13
5
Beñat GerenabarrenaAthletic Bilbao
17
Power Rankings
Strongest overall
1
Mikel VesgaAthletic Bilbao
88
2
Nico SerranoAthletic Bilbao
87
3
Carlos EspíLevante
83
4
Mikel JauregizarAthletic Bilbao
76
5
Selton SánchezAthletic Bilbao
69

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Levante vs Athletic Bilbao 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 Levante vs Athletic Bilbao 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 Levante 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 Levante vs Athletic Bilbao 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 Levante 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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