Prediction Audit: Rodange 91 vs Mamer Prediction, Odds & AI Betting Tips

May 17, 2026 - 14:00
1 1.45
1 1.25
xG Accuracy: 82%

The model missed the final outcome (Draw 1–1).

The model had projected Rodange 91 at 41.8%, 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 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Rodange 91 Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-2, 2-1, 0-1, 1-0 1-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The model rates Mamer considerably stronger than the closing betting market.

Largest probability gap: Mamer +5.2 pp

Outcome Model Closing Market Difference Signal
Rodange 91 41.8% 46.9% -5.1 pp Market Higher
Draw 25.7% 25.7% -0.0 pp Aligned
Mamer 32.6% 27.4% +5.2 pp Model Higher

The statistical model estimates Mamer's win probability at 32.6%, compared with the closing market's implied probability of 27.4%, a difference of 5.2 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 Draw 1–1.

Market Assessment

The fair estimate shows a modest edge over current market pricing on Mamer.

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

Post Match Insights

What worked

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

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)

Market lesson

The closing market differed from the model on Rodange 91 by 5.2 percentage points (36.6% vs model 41.8%) — 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 17, 2026 · 13:59 UTC Forecast generated
    • Model 1X2 · Rodange 91 41.8% · Draw 25.7% · Mamer 32.6%
    • xG · Rodange 91 1.45 — Mamer 1.25
  2. May 17, 2026 · 13:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Rodange 91 1.95 · Draw 3.56 · Mamer 3.34
    • Implied 1X2 · Rodange 91 46.9% · Draw 25.7% · Mamer 27.4%
    • Bookmaker · Pinnacle
  3. May 17, 2026 · 13:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Rodange 91 1.95 · Draw 3.56 · Mamer 3.34
    • Implied 1X2 · Rodange 91 46.9% · Draw 25.7% · Mamer 27.4%
    • Bookmaker · Pinnacle
  4. May 17, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  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
Market Compatibility 74/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 14:27 UTC Snapshot ID: dp-1605601

Closing Odds 3.34
AI Fair Odds —
CLV Pending
Final Result Draw · Rodange 91 1–1 Mamer
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

Pre-match snapshot for this fixture.

  • League: National Division
  • Fixture: Rodange 91 vs Mamer
  • Kickoff: 2026-05-17 14:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Rodange 91 1.45 — Mamer 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 61.7% · Implied: 41.5% · Probability edge: +20.2 pts · Est. EV: +38.8%
  • BTTS (model): Yes 38.3% · No 61.7%
  • Correct score (top bin): 1-1 (10.8%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

1X2 can look balanced even when side markets show clearer structure.

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

October 02, 2026 (UTC)

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Back to Predictions
National Division National Division — Standings
# TEAM MP W D L PTS
1 Atert Bissen 30 20 5 5 65
2 FC Differdange 03 30 19 8 3 65
3 US Mondorf-les-bains 30 19 3 8 60
4 UNA Strassen 30 17 7 6 58
5 F91 Dudelange 30 17 7 6 58
6 AS Jeunesse Esch 30 10 10 10 40
7 Racing FC Union Luxembourg 30 11 7 12 40
8 UN Kaerjeng 97 30 11 5 14 38
9 US Hostert 30 10 6 14 36
10 Victoria Rosport 30 10 5 15 35
11 Progres Niederkorn 30 9 7 14 34
12 Swift Hesperange 30 9 5 16 32
13 Jeunesse Canach 30 9 4 17 31
14 Mamer 30 8 5 17 29
15 Union Titus Petange 30 6 7 17 25
16 Rodange 91 30 6 7 17 25
# TEAM MP GS GC +/- PTS
1 Atert Bissen 30 70 27 +43 65
2 FC Differdange 03 30 63 22 +41 65
3 F91 Dudelange 30 59 38 +21 58
4 UNA Strassen 30 57 26 +31 58
5 US Mondorf-les-bains 30 51 24 +27 60
6 Racing FC Union Luxembourg 30 48 50 -2 40
7 Progres Niederkorn 30 44 47 -3 34
8 UN Kaerjeng 97 30 43 48 -5 38
9 AS Jeunesse Esch 30 35 34 +1 40
10 US Hostert 30 35 56 -21 36
11 Victoria Rosport 30 33 50 -17 35
12 Mamer 30 33 59 -26 29
13 Swift Hesperange 30 31 46 -15 32
14 Jeunesse Canach 30 29 44 -15 31
15 Rodange 91 30 28 65 -37 25
16 Union Titus Petange 30 26 49 -23 25