Predictions / Football / Germany. 3. Liga / Waldhof Mannheim vs Verl

Prediction Audit: Waldhof Mannheim vs Verl Prediction, Odds & AI Betting Tips

Waldhof Mannheim Waldhof Mannheim
Sep 05, 2026 - 12:00
0 1.45
1 1.45
xG Accuracy: 59%
Verl Verl

The model missed the final outcome (Verl win 0–1).

The model had projected Waldhof Mannheim at 36.1%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

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

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Under 2.5 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Waldhof Mannheim Verl ✖ Incorrect
  • Correct Score Insights 1-1, 1-2, 2-1, 0-1, 1-0 0-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The closing market prices Waldhof Mannheim higher than the statistical model.

Largest probability gap: Waldhof Mannheim -6.4 pp

Outcome Model Closing Market Difference Signal
Waldhof Mannheim 36.1% 42.5% -6.4 pp Market Higher
Draw 27.8% 23.5% +4.3 pp Aligned
Verl 36.1% 34.0% +2.1 pp Aligned

The closing market estimates Waldhof Mannheim's win probability at 42.5%, compared with the model's estimate of 36.1%, a difference of 6.4 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 result was Verl win 0–1.

Market Assessment

The market and model broadly agree on Waldhof Mannheim. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Exact score 0–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (1 goals)

Market lesson

The closing market differed from the model on Waldhof Mannheim by 6.4 percentage points (42.5% vs model 36.1%) — in this case the market view proved closer.

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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 · Waldhof Mannheim 36.1% · Draw 27.8% · Verl 36.1%
    • xG · Waldhof Mannheim 1.45 — Verl 1.45
  2. Sep 05, 2026 · 11:34 UTC Opening odds snapshot PRE30
    • 1X2 odds · Waldhof Mannheim 2.24 · Draw 4.06 · Verl 2.80
    • Implied 1X2 · Waldhof Mannheim 42.5% · Draw 23.5% · Verl 34.0%
    • Bookmaker · Pinnacle
  3. Sep 05, 2026 · 11:59 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Waldhof Mannheim 2.24 · Draw 4.06 · Verl 2.80
    • Implied 1X2 · Waldhof Mannheim 42.5% · Draw 23.5% · Verl 34.0%
    • Bookmaker · Pinnacle
  4. Sep 05, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result Verl win · 0–1
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

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

Historical verdict: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 67/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 01:43 UTC Snapshot ID: dp-6132967

Closing Odds 2.24
AI Fair Odds —
CLV Pending
Final Result Verl win · Waldhof Mannheim 0–1 Verl
Prediction ✖ Missed
Decision Grade F

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

Quick read on how the model reads this matchup.

  • League: 3. Liga
  • Fixture: Waldhof Mannheim vs Verl
  • Kickoff: 2026-09-05 12:00:00
  • 1X2 (model): Home 36.1% · Draw 27.8% · Away 36.1%
  • xG (showing): Waldhof Mannheim 1.45 — Verl 1.45 (total xG ≈ 2.9)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 44.6% · Over 2.5 55.4%); BTTS Yes (Yes 60.1% · No 39.9%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 60.1% · No 39.9%
  • Correct score (top bin): 1-1 (11.6%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match 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

September 29, 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