- Hem
- 2. Bundesliga
2. Bundesliga: Predictions, Odds & Tips
Läs på svenskaModel-based predictions for 2. Bundesliga — every fixture in the 2. Bundesliga is analysed by the same match model that powers PlaymakerAI. Ahead of each round the model computes 1X2 probabilities, a full score matrix, expected goals and over/under lines.
The predictions are held against live odds, with positive expected value (EV+) flagged where the model's probability beats the implied odds. Played matches are graded openly — hit or miss.
Upcoming matches
League table2026/27
| Pos | Team | P | S | W–D–L | GF–GA | xP | xG | xGA | xGD | FT | Style |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 15 | 5 | 5–0–0 | 15–6 | 8,3 | 9,9 | 6,5 | +3,4 | 52 % | Possession control | |
| 2 | 13 | 5 | 4–1–0 | 15–6 | 7,5 | 9,3 | 6,9 | +2,4 | 60 % | Possession control | |
| 3 | 12 | 5 | 4–0–1 | 12–10 | 7,6 | 8,1 | 6,9 | +1,2 | 38 % | Possession control | |
| 4 | 11 | 6 | 3–2–1 | 15–8 | 9,3 | 11,8 | 7,8 | +4,0 | 58 % | Possession control | |
| 5 | 10 | 6 | 3–1–2 | 11–9 | 6,5 | 6,1 | 9,0 | −2,9 | 46 % | Possession & high press | |
| 6 | 8 | 5 | 2–2–1 | 5–4 | 7,5 | 5,9 | 5,5 | +0,4 | 46 % | Low block & direct | |
| 7 | 7 | 5 | 2–1–2 | 13–12 | 5,6 | 9,4 | 12,6 | −3,2 | 55 % | Counter-attacks & crosses | |
| 8 | 7 | 5 | 2–1–2 | 4–4 | 7,6 | 8,0 | 6,2 | +1,8 | 52 % | Possession control | |
| 9 | 6 | 5 | 1–3–1 | 7–7 | 6,9 | 7,2 | 5,8 | +1,4 | 60 % | Possession & high press | |
| 10 | 6 | 6 | 1–3–2 | 9–11 | 8,6 | 8,7 | 9,2 | −0,5 | 43 % | Counter-attacks & crosses | |
| 11 | 6 | 5 | 2–0–3 | 8–11 | 7,2 | 7,9 | 9,9 | −2,0 | 41 % | Possession control | |
| 12 | 5 | 5 | 1–2–2 | 6–11 | 7,4 | 8,9 | 8,8 | +0,1 | 49 % | Possession control | |
| 13 | 4 | 5 | 1–1–3 | 12–12 | 7,3 | 9,7 | 10,0 | −0,3 | 55 % | Possession & high press | |
| 14 | 4 | 5 | 1–1–3 | 8–10 | 6,4 | 6,7 | 6,9 | −0,2 | 42 % | Possession control | |
| 15 | 4 | 5 | 1–1–3 | 5–8 | 6,0 | 9,4 | 9,2 | +0,2 | 64 % | Possession & high press | |
| 16 | 4 | 5 | 1–1–3 | 7–12 | 6,5 | 7,7 | 8,1 | −0,4 | 51 % | Possession control | |
| 17 | 4 | 6 | 1–1–4 | 5–13 | 6,4 | 5,4 | 11,3 | −5,9 | 30 % | Low block & direct | |
| 18 | 3 | 5 | 0–3–2 | 6–9 | 6,7 | 7,3 | 6,9 | +0,4 | 64 % | Possession control |
Latest articles
All articles
2026-09-13 · 2 min
League Pulse w.37: 2. Bundesliga, 2026
Nürnberg tops 2. Bundesliga after five rounds with 13 points and significantly exceeds their expected points, while Magdeburg and Greuther Fürth show more mixed results in relation to their underlying numbers. The upcoming round offers interesting matches such as Wolfsburg against Darmstadt, Karlsruher against Nürnberg, and Cottbus against St. Pauli, where the latter stands out with strong possession and Arkadiusz Pyrka as a key player.

2026-08-15 · 3 min
This week's upsets with value 15/8
The article presents five matches where the odds do not reflect the underlying statistics, such as field tilt, expected threat and expected goals, which creates valuable betting opportunities. Among the examples highlighted are Brondby–Sonderjyske, where Sonderjyske's counter-attacking threat is underestimated despite Brondby's ball possession, as well as Karagumruk–Umraniyespor, where Umraniyespor's pitch dominance favors an away win.

2026-08-06 · 3 min
Oscar Nilsson tips 6/8: upsets with value
The article presents three betting tips where an analysis model has identified value that the market's odds do not fully reflect: Wolfsburg–Kaiserslautern (2 @ 4.79), Vojvodina–Radnik Surdulica (2 @ 8.50), and Sochaux–Saint-Etienne (1 @ 3.61). The columnist justifies the choices with statistical probability versus odds as well as the teams' form, particularly away and at home respectively.
Played matches
Prediction track recordHow the predictions work
Every prediction comes from PlaymakerAI's match model — the same data platform professional clubs use for scouting and match analysis. The model is trained on event data from hundreds of thousands of matches and weighs over 200 factors per team: strength ratings, current form, playing style, squad player profiles, fixture congestion, travel and even matchday weather.
For each fixture the model produces a full goal distribution. From it we derive the 1X2 probabilities, the score matrix, expected goals, over/under lines and both-teams-to-score. Predictions are frozen before kickoff and never changed afterwards — once a match finishes we grade it openly, hit or miss.
Odds are collected continuously from several bookmakers. When the model's probability for an outcome exceeds what the odds imply, we flag it as value (EV+). That is the model's assessment, not a guarantee: even positive-EV bets lose often. Gamble responsibly.
2. Bundesliga FAQ
Where do I find 2. Bundesliga predictions?
Right here: every match in the 2. Bundesliga has its own analysis with 1X2 probabilities, most likely scoreline, over/under and value against current odds. Pick a match from the upcoming list — predictions are refreshed before every round and graded openly afterwards.
How are the 2. Bundesliga predictions made?
Each match is replayed thousands of times in the model using hundreds of metrics per team — expected goals, pressing, expected threat, field tilt, form and squad. The output is a probability for every scoreline, which is then compared with bookmaker odds to find value.
What is the xP table?
xP means expected points: how many points each team should have taken given the quality of chances created and conceded. The gap between xP and the real table shows which the 2. Bundesliga teams are over- and underrated right now.
Which teams play in 2. Bundesliga 2026/27?
2. Bundesliga 2026/27 has 18 teams: Hertha Berlin, Nürnberg, Heidenheim, Wolfsburg, Magdeburg, Kaiserslautern, Energie Cottbus, Bochum, St. Pauli, Greuther Fürth, Osnabrück, Karlsruhe, Eintracht Braunschweig, Arminia Bielefeld, Hannover 96, Dynamo Dresden, Darmstadt, Holstein Kiel.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.