Predictions / Football / Germany. 3. Liga / SSV Ulm 1846 vs Rot-Weiß Essen

Prediction Audit: SSV Ulm 1846 vs Rot-Weiß Essen Prediction, Odds & AI Betting Tips

May 16, 2026 - 11:30
2 1.99
3 1.49
xG Accuracy: 66%

The model missed the final outcome (Rot-Weiß Essen win 2–3).

The model had projected SSV Ulm 1846 at 48.2%, 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 Under 2.5 Over 2.5 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 SSV Ulm 1846 Rot-Weiß Essen ✖ Incorrect
  • Correct Score Insights 1-1, 2-1, 1-2, 2-2, 1-0 2-3 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Rot-Weiß Essen higher than the statistical model.

Largest probability gap: Rot-Weiß Essen -32.7 pp

Outcome Model Closing Market Difference Signal
SSV Ulm 1846 48.2% 19.5% +28.7 pp Model Edge
Draw 24.1% 20.1% +4.0 pp Aligned
Rot-Weiß Essen 27.8% 60.5% -32.7 pp Market Higher

The closing market estimates Rot-Weiß Essen's win probability at 60.5%, compared with the model's estimate of 27.8%, a difference of 32.7 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: PRE1.

After full time, the result was Rot-Weiß Essen win 2–3.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 3.48) — 5 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (5 goals)
  • 1X2: model leaned SSV Ulm 1846; match finished Rot-Weiß Essen

Market lesson

The closing market differed from the model on SSV Ulm 1846 by 32.7 percentage points (80.9% vs model 48.2%) — 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. May 16, 2026 · 11:59 UTC Forecast generated
    • Model 1X2 · SSV Ulm 1846 48.1% · Draw 24.1% · Rot-Weiß Essen 27.8%
    • xG · SSV Ulm 1846 1.99 — Rot-Weiß Essen 1.49
  2. May 16, 2026 · 11:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · SSV Ulm 1846 4.81 · Draw 4.67 · Rot-Weiß Essen 1.55
    • Implied 1X2 · SSV Ulm 1846 19.5% · Draw 20.1% · Rot-Weiß Essen 60.5%
    • Bookmaker · Pinnacle
  3. May 16, 2026 · 11:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · SSV Ulm 1846 4.81 · Draw 4.67 · Rot-Weiß Essen 1.55
    • Implied 1X2 · SSV Ulm 1846 19.5% · Draw 20.1% · Rot-Weiß Essen 60.5%
    • Bookmaker · Pinnacle
  4. May 16, 2026 · 11:30 UTC Kickoff
  5. FT Full-time result Rot-Weiß Essen win · 2–3
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 33/100 · Low
  • Validation: Fail
  • Large market gap (33 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market strongly disagrees on price
  • Validation failed
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 9/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 04, 2026 · 21:23 UTC Snapshot ID: dp-3004819

Closing Odds 1.55
AI Fair Odds —
CLV Pending
Final Result Rot-Weiß Essen win · SSV Ulm 1846 2–3 Rot-Weiß Essen
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

Model favours SSV Ulm 1846; market prices Rot-Weiß Essen instead — inputs may be missing or stale.

  • Model: SSV Ulm 1846 1.99 xG vs Rot-Weiß Essen 1.49 → SSV Ulm 1846 48.2%
  • Market: Rot-Weiß Essen ~19.5% implied
  • Validation failed — do not treat 1X2 EV as actionable.

Do not act on 1X2 value until validation passes. Structural leans (O/U, BTTS) need separate odds review.

Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 32.5% · Over 2.5 67.5%); BTTS Yes (Yes 68.1% · No 31.9%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes

Historical Recommendation

Historical Decision: Wait

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

October 02, 2026 (UTC)

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3. Liga 3. Liga — Standings
# TEAM MP W D L PTS
1 VfL Osnabrück 38 24 8 6 80
2 Energie Cottbus 38 21 9 8 72
3 Rot-Weiß Essen 38 20 10 8 70
4 MSV Duisburg 38 19 11 8 68
5 Hansa Rostock 38 18 13 7 67
6 Verl 38 18 10 10 64
7 Alemannia Aachen 38 19 7 12 64
8 TSV 1860 München 38 15 11 12 56
9 SV Wehen 38 15 8 15 53
10 Waldhof Mannheim 38 15 7 16 52
11 FC Viktoria Köln 38 15 6 17 51
12 FC Ingolstadt 04 38 13 10 15 49
13 SSV Jahn Regensburg 38 14 7 17 49
14 Stuttgart II 38 13 7 18 46
15 FC Saarbrücken 38 10 14 14 44
16 Hoffenheim II 38 12 7 19 43
17 Havelse 38 9 8 21 35
18 Erzgebirge Aue 38 7 13 18 34
19 SSV Ulm 1846 38 9 6 23 33
20 FC Schweinfurt 05 38 5 6 27 21
# TEAM MP GS GC +/- PTS
1 Verl 38 82 48 +34 64
2 Rot-Weiß Essen 38 78 66 +12 70
3 Alemannia Aachen 38 76 57 +19 64
4 Hansa Rostock 38 74 49 +25 67
5 Energie Cottbus 38 72 51 +21 72
6 VfL Osnabrück 38 66 34 +32 80
7 MSV Duisburg 38 66 49 +17 68
8 FC Ingolstadt 04 38 65 56 +9 49
9 Hoffenheim II 38 65 71 -6 43
10 Waldhof Mannheim 38 59 72 -13 52
11 Stuttgart II 38 57 69 -12 46
12 Havelse 38 57 89 -32 35
13 SV Wehen 38 54 52 +2 53
14 TSV 1860 München 38 54 53 +1 56
15 SSV Jahn Regensburg 38 54 58 -4 49
16 FC Viktoria Köln 38 51 53 -2 51
17 FC Saarbrücken 38 51 57 -6 44
18 Erzgebirge Aue 38 51 70 -19 34
19 SSV Ulm 1846 38 49 78 -29 33
20 FC Schweinfurt 05 38 38 87 -49 21
# TEAM MP xG xGC +/- PTS
1 Energie Cottbus 38 48.1 34.3 +13.8 72
2 Hansa Rostock 38 49.0 35.6 +13.4 67
3 VfL Osnabrück 38 44.5 31.3 +13.2 80
4 Verl 38 44.0 31.6 +12.4 64
5 MSV Duisburg 38 38.0 30.8 +7.2 68
6 FC Ingolstadt 04 38 47.0 40.4 +6.6 49
7 TSV 1860 München 38 45.8 42.6 +3.2 56
8 Rot-Weiß Essen 38 41.9 38.8 +3.1 70
9 Waldhof Mannheim 38 38.3 35.4 +2.9 52
10 FC Saarbrücken 38 41.1 40.6 +0.5 44
11 SSV Jahn Regensburg 38 40.8 40.6 +0.2 49
12 SV Wehen 38 37.7 38.1 -0.4 53
13 FC Viktoria Köln 38 33.4 34.1 -0.7 51
14 Stuttgart II 38 37.1 41.0 -3.9 46
15 SSV Ulm 1846 38 37.4 42.3 -4.9 33
16 Alemannia Aachen 38 37.1 42.9 -5.8 64
17 Hoffenheim II 38 44.5 51.1 -6.6 43
18 Erzgebirge Aue 38 33.6 46.8 -13.2 34
19 Havelse 38 31.9 50.5 -18.6 35
20 FC Schweinfurt 05 38 32.9 55.1 -22.2 21