Germany vs Serbia Prediction, Tips & Odds
Germany vs Serbia
Match Preview
Germany and Serbia face off in a crucial knockout stage match in the UEFA Nations League, where the stakes are high: win or go home. Germany enters the fixture with a recent competitive form that shows a mix of results, including a draw and a loss in their last two outings, but they also have some significant victories, such as a 7-1 win against Curaçao and a 4-0 triumph over Finland. This suggests they have the capacity to produce strong performances when it matters most. On the other hand, Serbia's recent competitive form appears less stable, with a string of defeats in their last few matches, including a heavy 5-1 loss to Mexico and a 3-0 defeat to Spain. However, they did secure a 2-1 victory against Latvia, indicating that they can compete at a decent level when the pressure is on. Both teams come into this match with everything to play for, as the group stage has yet to begin and every point will be crucial for their aspirations in the tournament. One consideration is the limited competitive data available for both teams, which may impact their readiness and tactical execution. The Daily Punt Analysis Team uses an in-house model that evaluates fixtures based on aggregated bookmaker probabilities and tournament context, but no specific model output is available for this match. This adds an element of uncertainty to the prediction, as both teams will need to quickly adapt to the knockout format.
About the Teams
Germany
Profile data not available yet.
Serbia
Profile data not available yet.
Betting Predictions
How the model works, and its full prediction record, are set out on our How It Works and Accuracy pages.
Both attacks have been productive in recent matches, with regular goal-scoring on either side.
Combined goal output is high (3.3 per game). The over has been the right side more often than not.
The most likely scoreline per our model at 13.0% probability.
Germany have been the stronger side, winning 65% of their matches.
Our model projects a 2-0 Germany win as the most likely scoreline at 13.0% probability. 4 of the top six outcomes feature Germany clean sheets, in line with their 29% clean-sheet rate this season.
Lines averaged across 2 bookmakers. Germany are the favourites on the spread, so the larger handicaps pay more if they win comfortably while the smaller lines protect the bet on a narrower result.
Best Betting Odds
Germany vs Serbia| Bookmaker | 1X2 | O/U 2.5 | BTTS | ||||
|---|---|---|---|---|---|---|---|
| 1 | X | 2 | Over | Under | Yes | No | |
| 1.22 | 6.95 | 14.75 | 1.30 | 3.16 | 1.81 | 1.89 | |
| 1.15 | 7.00 | 14.00 | 1.30 | 3.30 | 1.87 | 1.87 | |
| 1.19 | 7.17 | 15.68 | 1.32 | 3.38 | — | — | |
| 1.19 | 6.86 | 10.60 | — | — | — | — | |
| 1.18 | 6.00 | 13.00 | — | — | 1.75 | 1.95 | |
| 1.18 | 7.00 | 15.00 | 1.33 | 3.40 | 1.83 | 1.83 | |
| 1.22 | 6.95 | 14.70 | 1.30 | 3.16 | 1.81 | 1.91 | |
Betano | 1.20 | 7.40 | 17.00 | 1.35 | 3.25 | 1.82 | 1.93 |
BetVictor | 1.15 | 7.50 | 15.00 | 1.30 | 3.40 | 1.78 | 1.91 |
Goals Probability
Avg. bookmaker oddsDouble Chance
Bet covers two outcomesHead to Head
Last 2 Meetings (Serbia leads 1-0)In the last two meetings between Germany and Serbia, Germany has recorded 0 wins, with 1 draw and 1 win for Serbia. The matches occurred over a span of nearly a decade, with the most recent fixture in 2019 being a friendly. Given that there is only one competitive match in this sample, the data is insufficient to establish a clear pattern. In that competitive encounter during the 2010 World Cup, Serbia won 1-0, while the subsequent friendly ended in a 1-1 draw.
Key Statistics
2026 SeasonGermany have won 7 of their last 10 matches at home, drawing 1 and losing 2. Their recent home fixtures include lost to Greece 0-1 and drew with Paraguay 1-1.
Overall, the wider run reads 11W 2D 4L from the last 17 games (65% win rate). The form line is positive, with more wins than defeats across the sample.
Serbia have won 1 of their last 5 matches on the road, drawing 0 and losing 4. Their recent away fixtures include lost to Mexico 5-1 and lost to Cape Verde Islands 3-0.
Overall, the wider run reads 3W 0D 8L from the last 11 games (27% win rate). The form line has been negative, with defeats outweighing wins across the sample.
Lineups
ConfirmedGermany4-3-3Confirmed
Serbia4-4-2Confirmed
Unavailable Players
0 playersGermany
No reported absences
Serbia
No reported absences
Betting Strategy
High-probability picks are the most likely outcomes. Value selections are markets where our model's probability sits above the price implied by the odds. They will not always come in, but the odds are in your favour over time.
Yellow Card Prediction
Espen Eskas has been appointed as the referee for this fixture. We don't yet have enough recent fixtures officiated by Espen Eskas to give a confident card-market projection. Our default lean is under 3.5 yellow cards at 1.95.
Corner Prediction
Germany have averaged 7.4 corners per match at home; Serbia 5.1 on the road. Combined that projects roughly 7.3 corners in this fixture. Our pick is under 9.5 corners at 1.80.
Player Stats Bet
Germany have generated 2.06 xG per game across their recent matches, winning 65% of them. They put 6.6 shots on target per match, giving their attackers the volume needed to land a goal-involvement bet. Germany player to score or assist at 1.55 looks well supported by the data.
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The Daily Punt Analysis Team
Data-driven football predictions and betting tips
This forecast was built by the The Daily Punt Analysis Team using our in-house statistical model. We feed the model two layers of data for every fixture: each team's recent expected goals (xG and xGA) and their actual goals scored and conceded, split by home and away venue. The numbers run through a Poisson distribution that produces a probability for every possible scoreline, which we then convert into fair odds for the 1X2, correct score, BTTS, and over/under markets.
Before publishing, we cross-check our fair odds against the prices the major bookmakers are offering. Where a bookmaker is paying out more than our model says is mathematically fair, we flag that market as a value bet on this page.