· UEFA Nations League
Germany
ATT
5/10
DEF
5/10
2:0
Serbia
5/10
ATT
5/10
DEF
Full-time
Best Pick
Under 2.5
57%
Correct Score46′
Top
1-1
13%
13.00
Top
1-0
12.1%
12.00
0-1
9.8%
41.00
0-0
9.2%
26.00
2-1
8.5%
10.00
2-0
8%
8.00
1-2
6.9%
34.00
0-2
5.3%
67.00
142%
2.37TOP
X27%
3.64
230%
3.30
1X69%
X257%
1272%
xG — Expected Goals
Germany
Germany exp
Serbia
Serbia exp
goal
per 15 min
0–15′
15–30′
30–45′
45–60′
60–75′
75–90′
Germany
Serbia
Confirmed XI4-4-2
1
Urbig
13
Treu
2
Thiaw
3
Anton
18
Mittelstädt
20
Gnabry
5
Pavlovic
8
Bischof
9
Scherhant
11
Woltemade
17
Wirtz
Impact Player Hot Head
Germany20 players
52.0/ 99Average
Top Rated
1Joshua Kimmich MID63
2Josha VagnomanDEF62
3Serge GnabryFWD60
Serbia15 players
50.3/ 99Average
Top Rated
1Strahinja PavlovićDEF62
2Dejan JoveljićFWD59
3Luka JovićFWD59
Player Rankings
Snipers
Top goal threats
1
Luka JovićSerbia
65
2
Serge GnabryGermany
64
3
Dejan JoveljićSerbia
56
4
Younes EbnoutalibGermany
51
5
Jonathan BurkardtGermany
49
Wall
Top defenders
1
Strahinja ErakovicSerbia
59
2
Nico SchlotterbeckGermany
56
3
Yann BisseckGermany
54
4
Filip KostićSerbia
52
5
Srdjan BabicSerbia
52
Control
Top playmakers
1
Joshua Kimmich Germany
61
2
Florian WirtzGermany
54
3
Nemanja GudeljSerbia
54
4
Anton StachGermany
53
5
Nadiem AmiriGermany
48
Bad Boys
Most likely to get booked
1
Nadiem AmiriGermany
24
2
Saša LukićSerbia
24
3
Yann BisseckGermany
31
4
Aleksa TerzicSerbia
31
5
Filip KostićSerbia
31
Power Rankings
Strongest overall
1
Joshua Kimmich Germany
63
2
Josha VagnomanGermany
62
3
Strahinja PavlovićSerbia
62
4
Serge GnabryGermany
60
5
Jonathan TahGermany
59

Frequently Asked Questions

Our Poisson model calculates the probability of every possible scoreline for Germany vs Serbia 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 Germany vs Serbia 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 Germany 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 Germany vs Serbia 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 Germany 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.

HubTodayLiveCorrect ScoreAI SignalsPlayer props