· Bundesliga
Cologne
ATT
5/10
DEF
4/10
2:1
Borussia Monchengladbach
3/10
ATT
5/10
DEF
Full-time
Best Pick
BTTS
61%
Correct Score96′
Top
1-1
10.2%
8.00
Top
2-1
9.6%
9.00
1-0
8%
12.00
2-0
7.6%
13.00
1-2
6.5%
12.00
2-2
6.1%
11.00
3-1
6.1%
13.00
0-1
5.4%
17.00
152%
1.93TOP
X22%
4.45
226%
3.88
1X74%
X248%
1278%
xG — Expected Goals
Cologne
Cologne exp
Borussia Monchengladbach
Borussia Monchengladbach exp
goal
per 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Cologne
Borussia Monchengladbach
Confirmed XI4-4-2
1
Schwäbe
28
Sebulonsen
22
Simpson-Pusey
24
Lochoshvili
3
Sosa
8
Jóhannesson
6
Skhiri
37
Maina
47
Moore
10
Mala
30
Bülter
Impact Player Hot Head
Cologne26 players
46.8/ 99Average
Top Rated
1Luca WaldschmidtFWD78
2Thijs DallingaFWD67
3Rav van den BergDEF66
Borussia Monchengladbach24 players
50.3/ 99Average
Top Rated
1Philipp SanderMID70
2David HeroldDEF65
3Fabio ChiarodiaDEF61
Player Rankings
Snipers
Top goal threats
1
Luca WaldschmidtCologne
99
2
Thijs DallingaCologne
71
3
Shuto MachinoBorussia Monchengladbach
60
4
Mikey MooreCologne
58
5
Ragnar AcheCologne
58
Wall
Top defenders
1
Nico ElvediBorussia Monchengladbach
80
2
Fabio ChiarodiaBorussia Monchengladbach
68
3
Jahmai Simpson-Pusey Cologne
64
4
Jan LeszczynskiBorussia Monchengladbach
60
5
Rav van den BergCologne
54
Control
Top playmakers
1
Giovanni Reyna Borussia Monchengladbach
87
2
Kevin StögerBorussia Monchengladbach
74
3
Said El MalaCologne
68
4
Ellyes Skhiri Cologne
59
5
Philipp SanderBorussia Monchengladbach
58
Bad Boys
Most likely to get booked
1
Jahmai Simpson-Pusey Cologne
1
2
Ísak JóhannessonCologne
1
3
Marius BülterCologne
1
4
Kevin DiksBorussia Monchengladbach
1
5
Said El MalaCologne
6
Power Rankings
Strongest overall
1
Luca WaldschmidtCologne
78
2
Philipp SanderBorussia Monchengladbach
70
3
Thijs DallingaCologne
67
4
Rav van den BergCologne
66
5
David HeroldBorussia Monchengladbach
65

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Cologne vs Borussia Monchengladbach 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 Borussia Monchengladbach 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 Borussia Monchengladbach 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.

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