Cologne’s home initiative and Schalke’s capacity to exploit a vulnerable defense create a compelling route to goals. Defensive fragility should invite sustained pressure, and the contest appears poised to open up and clear the goals line.
Match GoalsOver 2.5
Best Pick
BTTS
62%
Correct Score
Top
1-1
10.4%
7.50
Top
2-1
9.3%
9.00
1-0
7.5%
10.00
1-2
7.2%
12.00
2-0
6.7%
12.00
2-2
6.4%
12.00
0-1
5.9%
13.00
3-1
5.5%
15.00
147%
2.05TOP
X23%
3.90
230%
3.25
1X70%
X253%
1277%
Combined Bet Builder
4 legs
Cologne’s 1.63 xG against Schalke’s 1.15 points to a lively contest, with the hosts’ leaky defence adding to the over-2.5 case. Cologne or draw looks the sounder side, while Ragnar Ache offers a focal point for the home attack. Combined xCorners reach 10.03, supporting over 8.5 corners.
1Double ChanceCologne or Draw
2Match GoalsOver 2.5
3GoalscorersAnytime
4Corners Over/UnderOver 8.5
Confirmed XI4-4-2
1
Schwäbe
28
Sebulonsen
22
Simpson-Pusey
24
Lochoshvili
3
Sosa
37
Maina
8
Jóhannesson
5
Krauß
10
Mala
47
Moore
30
Bülter
Impact Player Hot Head
Cologne26 players
48.0/ 99Average
Top Rated
1Luca WaldschmidtFWD76
2Luka LochoshviliDEF69
3Rav van den BergDEF66
Schalke 0420 players
56.6/ 99Strong
Top Rated
1Maximilian WöberDEF93
2Soufiane El-FaouziMID74
3Nikola KaticDEF70
Player Rankings
Snipers
Top goal threats
1
Luca WaldschmidtCologne
99
2
Thijs DallingaCologne
70
3
Reigan HeskeyCologne
60
4
Ragnar AcheCologne
58
5
Mikey MooreCologne
57
Wall
Top defenders
1
Maximilian WöberSchalke 04
99
2
Nikola KaticSchalke 04
93
3
Timo Becker Schalke 04
69
4
Jahmai Simpson-Pusey Cologne
64
5
Hasan KuruçaySchalke 04
59
Control
Top playmakers
1
Ellyes Skhiri Cologne
58
2
Janik BachmannSchalke 04
58
3
Soufiane El-FaouziSchalke 04
57
4
Ron SchallenbergSchalke 04
56
5
Ísak JóhannessonCologne
53
Bad Boys
Most likely to get booked
1
Jahmai Simpson-Pusey Cologne
1
Aggression 23
2
Ísak JóhannessonCologne
1
Aggression 41
3
Marius BülterCologne
1
Aggression 23
4
Ragnar AcheCologne
20
Aggression 32
5
Luca WaldschmidtCologne
24
Aggression 46
Power Rankings
Strongest overall
1
Maximilian WöberSchalke 04
93
2
Luca WaldschmidtCologne
76
3
Soufiane El-FaouziSchalke 04
74
4
Nikola KaticSchalke 04
70
5
Luka LochoshviliCologne
69
Frequently Asked Questions
Our Poisson model calculates the probability of every possible scoreline for Cologne vs Schalke 04 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 Cologne vs Schalke 04 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 Cologne 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 Cologne vs Schalke 04 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 Cologne 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.