2. Bundesliga
Retrospective analysis — the model is trained only on matches played before this one.
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Braunschweig
Hertha
Expected goals, over/under and both teams to score — priced by the model before kick-off.
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The model's top final scores with the best bookmaker odds.
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Half-time score: 0–3
| # | Team | K | V | U | T | +/− | P |
|---|---|---|---|---|---|---|---|
| 1 |
Hamburg
|
26 | 13 | 9 | 4 | +26 | 48 |
| 2 |
FC Koln
|
26 | 14 | 5 | 7 | +9 | 47 |
| 3 |
Paderborn
|
26 | 12 | 9 | 5 | +12 | 45 |
| 4 |
Kaiserslautern
|
26 | 12 | 7 | 7 | +6 | 43 |
| 5 |
Magdeburg
|
26 | 11 | 9 | 6 | +12 | 42 |
| 6 |
Hannover
|
26 | 11 | 9 | 6 | +8 | 42 |
| 7 |
Fortuna Dusseldorf
|
26 | 11 | 8 | 7 | +5 | 41 |
| 8 |
Elversberg
|
26 | 11 | 7 | 8 | +13 | 40 |
| 9 |
Nurnberg
|
25 | 11 | 5 | 9 | +4 | 38 |
| 10 |
Karlsruhe
|
25 | 10 | 6 | 9 | -2 | 36 |
| 11 |
Schalke 04
|
26 | 9 | 6 | 11 | -3 | 33 |
| 12 |
Greuther Furth
|
25 | 9 | 6 | 10 | -8 | 33 |
| 13 |
Darmstadt
|
26 | 8 | 7 | 11 | +2 | 31 |
| 14 |
Preußen Münster
|
26 | 6 | 8 | 12 | -7 | 26 |
| 15 |
Hertha
|
25 | 7 | 5 | 13 | -9 | 26 |
| 16 |
Braunschweig
|
25 | 5 | 8 | 12 | -21 | 23 |
| 17 |
Ulm
|
25 | 3 | 10 | 12 | -7 | 19 |
| 18 |
Regensburg
|
26 | 4 | 4 | 18 | -40 | 16 |
Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.
R. Hoffmann
G
J. Baas
M
F. Di Michele Sanchez
M
R. Philippe
F
L. Tempelmann
F
L. Szabó
F
Coach: D. Scherning
T. Ernst
G
L. Gechter
D
M. Dárdai
D
J. Kenny
M
M. Cuisance
M
P. Klemens
M
D. Zeefuik
M
I. Maza
F
F. Reese
F
D. Scherhant
F
Coach: S. Leitl
Green columns are the outcomes that came in.
Hannover
Braunschweig
Braunschweig
Ulm
Greuther Furth
Braunschweig
Braunschweig
Darmstadt
Karlsruhe
Braunschweig
F Badstübner · 96 kamper i vår database
🟥 Red cards: 0,18 per match
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.