Predictions / Football / France. Ligue 2 / RED Star FC 93 vs Metz

Prediction Audit: RED Star FC 93 vs Metz Prediction, Odds & AI Betting Tips

Sep 14, 2026 - 18:45
1 1.23
0 1.37
xG Accuracy: 64%

The model missed the final outcome (RED Star FC 93 win 1–0).

The model had projected Metz at 38.5%, 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 Metz RED Star FC 93 ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-0 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The closing market prices RED Star FC 93 higher than the statistical model.

Largest probability gap: RED Star FC 93 -6.4 pp

Outcome Model Closing Market Difference Signal
RED Star FC 93 31.9% 38.4% -6.4 pp Market Higher
Draw 29.6% 28.8% +0.8 pp Aligned
Metz 38.5% 32.9% +5.6 pp Model Higher

The closing market estimates RED Star FC 93's win probability at 38.4%, compared with the model's estimate of 31.9%, 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: PRE1.

After full time, the result was RED Star FC 93 win 1–0.

Market Assessment

The market and model broadly agree on RED Star FC 93. 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 1–0 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 Metz by 6.4 percentage points (44.9% vs model 38.5%) — 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 14, 2026 · 18:44 UTC Forecast generated
    • Model 1X2 · RED Star FC 93 31.9% · Draw 29.6% · Metz 38.5%
    • xG · RED Star FC 93 1.23 — Metz 1.37
  2. Sep 14, 2026 · 18:14 UTC Opening odds snapshot PRE30
    • 1X2 odds · RED Star FC 93 2.51 · Draw 3.35 · Metz 2.93
    • Implied 1X2 · RED Star FC 93 38.4% · Draw 28.8% · Metz 32.9%
    • Bookmaker · Pinnacle
  3. Sep 14, 2026 · 18:44 UTC Closing snapshot recorded PRE1
    • 1X2 odds · RED Star FC 93 2.51 · Draw 3.35 · Metz 2.93
    • Implied 1X2 · RED Star FC 93 38.4% · Draw 28.8% · Metz 32.9%
    • Bookmaker · Pinnacle
  4. Sep 14, 2026 · 18:45 UTC Kickoff
  5. FT Full-time result RED Star FC 93 win · 1–0
  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: Monitor
Historical Decision Monitor
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) 23/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 08, 2026 · 02:43 UTC Snapshot ID: dp-7573652

Closing Odds 2.51
AI Fair Odds —
CLV Pending
Final Result RED Star FC 93 win · RED Star FC 93 1–0 Metz
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: Ligue 2
  • Fixture: RED Star FC 93 vs Metz
  • Kickoff: 2026-09-14 18:45:00
  • 1X2 (model): Home 31.9% · Draw 29.6% · Away 38.5%
  • xG (showing): RED Star FC 93 1.23 — Metz 1.37 (total xG ≈ 2.6)
  • 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 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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: 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 30, 2026 (UTC)

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Ligue 2 Ligue 2 — Standings
# TEAM MP W D L PTS
1 Saint Etienne 7 5 1 1 16
2 RED Star FC 93 7 4 2 1 14
3 Reims 7 3 4 0 13
4 Montpellier 7 3 3 1 12
5 Metz 7 2 4 1 10
6 Nancy 7 3 1 3 10
7 Annecy 7 3 1 3 10
8 Sochaux 7 2 4 1 10
9 Dijon 7 2 3 2 9
10 PAU 7 2 2 3 8
11 Guingamp 7 2 2 3 8
12 Dunkerque 7 2 2 3 8
13 Grenoble 7 2 2 3 8
14 Rodez 7 2 1 4 7
15 Nantes 7 2 1 4 7
16 Clermont Foot 7 0 6 1 6
17 Boulogne 7 0 5 2 5
18 Laval 7 1 2 4 5
# TEAM MP GS GC +/- PTS
1 Saint Etienne 7 19 8 +11 16
2 Reims 7 15 9 +6 13
3 Rodez 7 14 16 -2 7
4 Metz 7 10 7 +3 10
5 Dijon 7 10 10 0 9
6 Guingamp 7 10 12 -2 8
7 Dunkerque 7 10 12 -2 8
8 RED Star FC 93 7 9 7 +2 14
9 Annecy 7 9 9 0 10
10 Nantes 7 9 13 -4 7
11 Nancy 7 8 7 +1 10
12 Grenoble 7 8 11 -3 8
13 Laval 7 8 14 -6 5
14 Montpellier 7 6 5 +1 12
15 PAU 7 6 6 0 8
16 Sochaux 7 4 5 -1 10
17 Clermont Foot 7 4 6 -2 6
18 Boulogne 7 3 5 -2 5