Hoffenheim’s attack has real bite at home, and that extra spark should keep Lyon’s solid back line under pressure. Lyon can still contribute enough going forward to make this a lively, end-to-end contest; with both sides capable of finding openings, the goals should keep coming and the high-scoring outcome looks the natural call.
Match GoalsOver 2.5
Best Pick
BTTS
55%
Correct Score
Top
1-1
11.1%
8.00
Top
1-0
10.1%
12.00
2-1
9.8%
9.00
2-0
8.9%
12.00
0-1
6.3%
17.00
1-2
6.1%
12.00
0-0
5.8%
21.00
3-1
5.7%
13.00
153%
1.95TOP
X24%
4.00
224%
3.40
1X77%
X248%
1277%
Combined Bet Builder
4 legs
Hoffenheim’s 2.05 xG and +29% attack power point to a strong home threat, making the safety of Hoffenheim or the draw appealing. Lyon add 1.36 xG, supporting Over 2.5 goals; combined 10.80 expected corners and 4.53 expected cards also favor both overs.
1Double ChanceTSG 1899 Hoffenheim or Draw
2Match GoalsOver 2.5
3Corners Over/UnderOver 8.5
4Total CardsOver 3.5
Confirmed XI4-2-4
1
Baumann
34
Coufal
5
Kabak
28
Machida
13
Bernardo
18
Burger
7
Avdullahu
27
Kramaric
11
Asllani
14
Daghim
10
Hlozek
Impact Player Hot Head
TSG 1899 Hoffenheim23 players
55.2/ 99Strong
Top Rated
1Koki MachidaDEF74
2Wouter BurgerMID73
3Bambasé ContéMID67
Olympique Lyon30 players
51.2/ 99Average
Top Rated
1Orel Mangala MID73
2Rémi HimbertFWD73
3Moussa NiakhatéDEF67
Player Rankings
Snipers
Top goal threats
1
Rémi HimbertOlympique Lyon
67
2
Loïs OpendaOlympique Lyon
64
3
Adil HamdaniOlympique Lyon
62
4
Fisnik AsllaniTSG 1899 Hoffenheim
57
5
Adam DaghimTSG 1899 Hoffenheim
54
Wall
Top defenders
1
Noham KamaraOlympique Lyon
86
2
Ruben KluivertOlympique Lyon
69
3
Ozan Kabak TSG 1899 Hoffenheim
67
4
Moussa NiakhatéOlympique Lyon
63
5
Arthur ChavesTSG 1899 Hoffenheim
56
Control
Top playmakers
1
Wouter BurgerTSG 1899 Hoffenheim
82
2
Leon AvdullahuTSG 1899 Hoffenheim
69
3
Tyler MortonOlympique Lyon
68
4
Corentin TolissoOlympique Lyon
63
5
Nathan De CatTSG 1899 Hoffenheim
60
Bad Boys
Most likely to get booked
1
Ruben KluivertOlympique Lyon
1
Aggression 48
2
Tyler MortonOlympique Lyon
1
Aggression 35
3
Adam DaghimTSG 1899 Hoffenheim
8
Aggression 82
4
Max MoerstedtTSG 1899 Hoffenheim
8
Aggression 99
5
Pavel SulcOlympique Lyon
9
Aggression 45
Power Rankings
Strongest overall
1
Koki MachidaTSG 1899 Hoffenheim
74
2
Wouter BurgerTSG 1899 Hoffenheim
73
3
Orel Mangala Olympique Lyon
73
4
Rémi HimbertOlympique Lyon
73
5
Bambasé ContéTSG 1899 Hoffenheim
67
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for TSG 1899 Hoffenheim vs Olympique Lyon 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 TSG 1899 Hoffenheim vs Olympique Lyon 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 TSG 1899 Hoffenheim 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 TSG 1899 Hoffenheim vs Olympique Lyon 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 TSG 1899 Hoffenheim 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.