Germany: West regionalnaya liga Standings
Bonner - Rot-Vayss Oberkhauzen
Our model prediction (Glicko-2)
2 Rot-Vayss Oberkhauzen — 49%
Pure model vs market (2 · Rot-Vayss Oberkhauzen): model 33% · market 49% Δ −16 pp model estimates below the market
Model estimate: win Bonner 25.7%, draw 25.8%, win Rot-Vayss Oberkhauzen 48.5%. Model favourite — Rot-Vayss Oberkhauzen.
Informational estimate, not a betting recommendation.
Independent AI-agent assessment from our data (model, market line, form, H2H)
- • Model backs nichyu: probability 50% vs 29% on the line (odds 3.48)
- • edge over the line +21 pp — value pick
- • Expected score 1.
Analytical AI-agent assessment, not a betting recommendation.
Math-model prediction
AI match prediction Bonner - Rot-Vayss Oberkhauzen July 31, 2026
Football math modelThe summary is built from our prematch context: line, form, lineups and Glicko.
- 1X2 odds (market consensus): 1 3.70 / X 3.50 / 2 1.84
For reference
Fair probability (no margin)
Probability excluding the bookmaker margin — for reference, not a betting recommendation.Odds source: market consensus. This is the fair probability after removing the bookmaker margin from the odds — reference information, not a prediction or a betting recommendation.
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Bonner - Rot-Vayss Oberkhauzen
What data is collected and where it is shown
Football math model. The football model compares the market, Glicko-2, Poisson/xG, home advantage and tempo. The draw is accounted for as match risk but is not presented as a separate signal. Green value on an outcome means a mathematical edge, not a prediction guarantee.
Glicko-2 is a team-strength rating: it weighs the line, history and consistency, but is not a guarantee.
Best value: no value found
The football model compares the market, Glicko-2, Poisson/xG, home advantage and tempo. The draw is accounted for as match risk but is not presented as a separate signal. Green value on an outcome means a mathematical edge, not a prediction guarantee.
Betting notes are built from the line, market and our math model: take a signal only when the model and market agree.
Match markets
Double chance
| Outcome | Baltbet | Betcity |
|---|---|---|
| 12 | 1.20 83.3% | 1.26 79.4% |
| 1x | 1.74 57.5% | 1.86 53.8% |
| x2 | 1.17 85.5% | 1.23 81.3% |
Handicap
| Outcome | Baltbet | Betcity |
|---|---|---|
| 2.77 36.1% | 2.80 35.7% | |
| 1.37 73.0% | 1.38 72.5% |
Total
| Outcome | Baltbet | Betcity |
|---|---|---|
| Over 2.5 | 1.69 59.2% | 1.71 58.5% |
| Under 2.5 | 2.00 50.0% | 2.02 49.5% |
Outcome (1X2)
| Outcome | Baltbet | Betcity |
|---|---|---|
| 3.70 27.0% | 3.70 27.0% | |
| X | 3.45 29.0% | 3.50 28.6% |
| 1.82 55.0% | 1.84 54.4% |
Full head-to-head historyBonner - Rot-Vayss Oberkhauzen
Match history
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The Bonner - Rot-Vayss Oberkhauzen breakdown — outcomes, probabilities, risks and history — is available after a free sign-in.
- Full AI consensus of 7 models
- Win probabilities & value flags
- Match history & form