Freiburg’s attacking strength should keep Union under sustained pressure, while the visitors’ leaky back line offers a clear route to goals. Their need to respond could open the contest further, making a high-scoring affair the likeliest script.
Match GoalsOver 2.5
Best Pick
Over 2.5
63%
Correct Score
Top
2-1
9.9%
8.50
Top
2-0
9.1%
7.50
1-1
9.1%
8.50
1-0
8.3%
8.00
3-1
7.2%
11.00
3-0
6.6%
10.00
2-2
5.4%
17.00
1-2
4.9%
21.00
162%
1.40TOP
X20%
4.75
218%
7.50
1X82%
X238%
1280%
Combined Bet Builder
3 legs
Freiburg’s top-four quality and strong home attack should put struggling Union under pressure, while the visitors’ leaky defence gives Igor Matanović a prime chance to get on the scoresheet. Freiburg look set to drive the contest, and with enough firepower on show, over two and a half goals feels a natural fit alongside the home win.
1Match WinnerSC Freiburg
2Match GoalsOver 2.5
3GoalscorersAnytime
Confirmed XI4-5-1
1
Backhaus
29
Treu
28
Ginter
3
Lienhart
33
Makengo
8
Eggestein
16
Engelhardt
19
Beste
14
Suzuki
7
Scherhant
31
Matanovic
Impact Player Hot Head
SC Freiburg24 players
46.8/ 99Average
Top Rated
1Igor MatanovicFWD75
2Lukas KüblerDEF67
3Yuito SuzukiFWD60
1. FC Union Berlin30 players
48.1/ 99Average
Top Rated
1Dmytro BogdanovFWD83
2Leopold QuerfeldDEF82
3Marvin FriedrichDEF82
Player Rankings
Snipers
Top goal threats
1
Dmytro Bogdanov1. FC Union Berlin
99
2
Igor MatanovicSC Freiburg
67
3
Cyriaque IriéSC Freiburg
66
4
Andrej Ilic1. FC Union Berlin
60
5
Yuito SuzukiSC Freiburg
57
Wall
Top defenders
1
Marvin Friedrich1. FC Union Berlin
81
2
Leopold Querfeld1. FC Union Berlin
75
3
Felix Uduokhai1. FC Union Berlin
71
4
Anthony JungSC Freiburg
70
5
Stanley Nsoki1. FC Union Berlin
68
Control
Top playmakers
1
Aljoscha Kemlein 1. FC Union Berlin
68
2
Kastriot Imeri1. FC Union Berlin
54
3
Janik Haberer1. FC Union Berlin
52
4
Rouven TarnutzerSC Freiburg
51
5
Maximilian EggesteinSC Freiburg
49
Bad Boys
Most likely to get booked
1
Maximilian EggesteinSC Freiburg
1
Aggression 36
2
Cyriaque IriéSC Freiburg
1
Aggression 99
3
Livan Burcu1. FC Union Berlin
1
Aggression 55
4
Oliver Burke1. FC Union Berlin
1
Aggression 26
5
Tim Skarke1. FC Union Berlin
1
Aggression 50
Power Rankings
Strongest overall
1
Dmytro Bogdanov1. FC Union Berlin
83
2
Leopold Querfeld1. FC Union Berlin
82
3
Marvin Friedrich1. FC Union Berlin
82
4
Igor MatanovicSC Freiburg
75
5
Lukas KüblerSC Freiburg
67
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for SC Freiburg vs 1. FC Union Berlin 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 SC Freiburg vs 1. FC Union Berlin 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 SC Freiburg 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 SC Freiburg vs 1. FC Union Berlin 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 SC Freiburg 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.