Predictions / Football / Germany. 3. Liga / SSV Jahn Regensburg vs MSV Duisburg

Prediction Audit: SSV Jahn Regensburg vs MSV Duisburg Prediction, Odds & AI Betting Tips

Sep 05, 2026 - 12:00
1 1.54
2 1.66
xG Accuracy: 78%

AI correctly predicted the MSV Duisburg win.

The match finished 1–2, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade A

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 MSV Duisburg MSV Duisburg ✔ Correct
  • Correct Score Insights 1-1, 1-2, 2-1, 0-1, 2-2 1-2 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices MSV Duisburg higher than the statistical model.

Largest probability gap: MSV Duisburg -12.3 pp

Outcome Model Closing Market Difference Signal
SSV Jahn Regensburg 34.4% 25.0% +9.4 pp Model Higher
Draw 26.1% 23.1% +3.0 pp Aligned
MSV Duisburg 39.5% 51.8% -12.3 pp Market Higher

The closing market estimates MSV Duisburg's win probability at 51.8%, compared with the model's estimate of 39.5%, a difference of 12.3 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE5.

After full time, the model's directional lean matched the result (MSV Duisburg win 1–2).

Market Assessment

The market is materially more optimistic about MSV Duisburg than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 3.20) — 3 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Over 2.5 goals aligned with the xG profile

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced MSV Duisburg higher (51.8% vs model 39.5%, 12.3 pp), but the model's lean was validated (MSV Duisburg win 1–2).

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Sep 05, 2026 · 11:59 UTC Forecast generated
    • Model 1X2 · SSV Jahn Regensburg 34.4% · Draw 26.1% · MSV Duisburg 39.5%
    • xG · SSV Jahn Regensburg 1.54 — MSV Duisburg 1.66
  2. Sep 05, 2026 · 11:34 UTC Opening odds snapshot PRE30
    • 1X2 odds · SSV Jahn Regensburg 3.79 · Draw 4.10 · MSV Duisburg 1.83
    • Implied 1X2 · SSV Jahn Regensburg 25.0% · Draw 23.1% · MSV Duisburg 51.8%
    • Bookmaker · Pinnacle
  3. Sep 05, 2026 · 11:59 UTC Closing snapshot recorded PRE5
    • 1X2 odds · SSV Jahn Regensburg 3.79 · Draw 4.10 · MSV Duisburg 1.83
    • Implied 1X2 · SSV Jahn Regensburg 25.0% · Draw 23.1% · MSV Duisburg 51.8%
    • Bookmaker · Pinnacle
  4. Sep 05, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result MSV Duisburg win · 1–2
  6. FT Prediction validated Directional lean matched full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 57/100 · Moderate
  • Validation: Warning
  • Large market gap (12 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 38/100
Betting Confidence 45/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 01:43 UTC Snapshot ID: dp-6133063

Closing Odds 1.83
AI Fair Odds —
CLV Pending
Final Result MSV Duisburg win · SSV Jahn Regensburg 1–2 MSV Duisburg
Prediction ✔ Correct
Decision Grade A

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: 3. Liga
  • Fixture: SSV Jahn Regensburg vs MSV Duisburg
  • Kickoff: 2026-09-05 12:00:00
  • 1X2 (model): Home 34.4% · Draw 26.1% · Away 39.5%
  • xG (showing): SSV Jahn Regensburg 1.54 — MSV Duisburg 1.66 (total xG ≈ 3.2)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 38.0% · Over 2.5 62.0%); BTTS Yes (Yes 65.0% · No 35.0%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 65.0% · No 35.0%
  • Correct score (top bin): 1-1 (10.4%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: Monitor

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

October 01, 2026 (UTC)

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3. Liga 3. Liga — Standings
# TEAM MP W D L PTS
1 MSV Duisburg 7 6 0 1 18
2 FC Viktoria Köln 7 5 0 2 15
3 Rot-Weiß Essen 7 4 2 1 14
4 FC Saarbrücken 7 4 1 2 13
5 Hoffenheim II 7 4 1 2 13
6 Hansa Rostock 7 3 3 1 12
7 Alemannia Aachen 7 3 2 2 11
8 Preußen Münster 7 3 2 2 11
9 Waldhof Mannheim 7 3 1 3 10
10 Fortuna Düsseldorf 7 3 1 3 10
11 Verl 7 3 1 3 10
12 Fortuna Köln 7 2 3 2 9
13 SG Sonnenhof Grossaspach 7 2 2 3 8
14 FC Ingolstadt 04 7 2 2 3 8
15 Stuttgart II 7 2 1 4 7
16 Würzburger Kickers 7 2 1 4 7
17 SV Meppen 7 2 0 5 6
18 SSV Jahn Regensburg 7 1 2 4 5
19 SV Wehen 7 1 2 4 5
20 Havelse 7 1 1 5 4
# TEAM MP GS GC +/- PTS
1 MSV Duisburg 7 19 7 +12 18
2 FC Viktoria Köln 7 19 9 +10 15
3 FC Saarbrücken 7 19 12 +7 13
4 Hansa Rostock 7 15 15 0 12
5 Hoffenheim II 7 14 8 +6 13
6 Rot-Weiß Essen 7 13 9 +4 14
7 SSV Jahn Regensburg 7 13 17 -4 5
8 Preußen Münster 7 12 13 -1 11
9 Stuttgart II 7 12 15 -3 7
10 Alemannia Aachen 7 11 8 +3 11
11 Waldhof Mannheim 7 11 10 +1 10
12 Würzburger Kickers 7 11 15 -4 7
13 Verl 7 10 13 -3 10
14 Havelse 7 10 15 -5 4
15 Fortuna Köln 7 8 8 0 9
16 SV Meppen 7 8 15 -7 6
17 FC Ingolstadt 04 7 7 11 -4 8
18 Fortuna Düsseldorf 7 6 7 -1 10
19 SG Sonnenhof Grossaspach 7 6 9 -3 8
20 SV Wehen 7 5 13 -8 5