Predictions / Football / France. Ligue 1 / Metz vs Lorient

Prediction Audit: Metz vs Lorient Prediction, Odds & AI Betting Tips

Metz Metz
May 10, 2026 - 19:00
0 1.16
4 1.54
xG Accuracy: 37%
Lorient Lorient

AI correctly predicted the Lorient win.

The match finished 0–4, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Lorient Lorient ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-2, 0-2, 1-0 0-4 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Draw +2.8 pp

Outcome Model Closing Market Difference Signal
Metz 27.1% 29.1% -2.0 pp Aligned
Draw 28.4% 25.6% +2.8 pp Aligned
Lorient 44.5% 45.3% -0.8 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 model's directional lean matched the result (Lorient win 0–4).

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.70) — 4 goals materialised
  • Lorient attacking xG significantly stronger (1.54 vs 1.16)
  • Both Teams To Score (No) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
  • Exact score: outside the model's top score bins

Market lesson

The model's directional lean matched the full-time result (Lorient win 0–4).

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Prediction Timeline

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

  1. May 09, 2026 · 18:59 UTC Forecast generated
    • Model 1X2 · Metz 27.1% · Draw 28.4% · Lorient 44.5%
    • xG · Metz 1.16 — Lorient 1.54
  2. May 09, 2026 · 18:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Metz 3.27 · Draw 3.71 · Lorient 2.10
    • Implied 1X2 · Metz 29.1% · Draw 25.6% · Lorient 45.3%
    • Bookmaker · Pinnacle
  3. May 09, 2026 · 18:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Metz 3.27 · Draw 3.71 · Lorient 2.10
    • Implied 1X2 · Metz 29.1% · Draw 25.6% · Lorient 45.3%
    • Bookmaker · Pinnacle
  4. May 10, 2026 · 19:00 UTC Kickoff
  5. FT Full-time result Lorient win · 0–4
  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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 78/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 86/100
Betting Confidence 81/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 03:42 UTC Snapshot ID: dp-1545375

Closing Odds 3.71
AI Fair Odds —
CLV Pending
Final Result Lorient win · Metz 0–4 Lorient
Prediction ✔ Correct
Decision Grade B-

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: Ligue 1
  • Fixture: Metz vs Lorient
  • Kickoff: 2026-05-09 19:00:00
  • 1X2 (model): Home 27.1% · Draw 28.4% · Away 44.5%
  • xG (showing): Metz 1.16 — Lorient 1.54 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 49.4% · Implied: 44.1% · Probability edge: +5.3 pts · Est. EV: +11.2%
  • BTTS (model): Yes 55.5% · No 44.5%
  • Correct score (top bin): 1-1 (12.0%)

Totals and BTTS are evaluated against current market prices where available.

Early match state can move realised goals away from pre-kick projections.

Historical Recommendation

Historical Decision: No Primary Bet

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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Ligue 1 Ligue 1 — Standings
# TEAM MP W D L PTS
1 Paris Saint Germain 34 24 4 6 76
2 Lens 34 22 4 8 70
3 Lille 34 18 7 9 61
4 Lyon 34 18 6 10 60
5 Marseille 34 18 5 11 59
6 Rennes 34 17 8 9 59
7 Monaco 34 16 6 12 54
8 Strasbourg 34 15 8 11 53
9 Lorient 34 11 12 11 45
10 Toulouse 33 12 8 13 44
11 Paris FC 34 11 11 12 44
12 Stade Brestois 29 34 10 9 15 39
13 Angers 34 9 9 16 36
14 Le Havre 34 7 14 13 35
15 Auxerre 34 8 10 16 34
16 Nice 34 7 11 16 32
17 Nantes 33 5 8 20 23
18 Metz 34 3 8 23 17
# TEAM MP GS GC +/- PTS
1 Paris Saint Germain 34 74 29 +45 76
2 Lens 34 66 35 +31 70
3 Marseille 34 63 45 +18 59
4 Monaco 34 60 54 +6 54
5 Rennes 34 59 50 +9 59
6 Strasbourg 34 58 47 +11 53
7 Lyon 34 53 40 +13 60
8 Lille 34 52 37 +15 61
9 Lorient 34 48 51 -3 45
10 Toulouse 33 47 46 +1 44
11 Paris FC 34 47 50 -3 44
12 Stade Brestois 29 34 43 55 -12 39
13 Nice 34 37 60 -23 32
14 Auxerre 34 34 44 -10 34
15 Le Havre 34 32 44 -12 35
16 Metz 34 32 76 -44 17
17 Angers 34 29 48 -19 36
18 Nantes 33 29 52 -23 23
# TEAM MP xG xGC +/- PTS
1 Paris Saint Germain 34 65.0 29.8 +35.2 76
2 Lens 34 66.7 42.7 +24.0 70
3 Marseille 34 60.2 42.1 +18.1 59
4 Lille 34 54.6 36.8 +17.8 61
5 Strasbourg 34 53.7 45.3 +8.4 53
6 Lyon 34 51.1 43.7 +7.4 60
7 Monaco 34 56.9 50.0 +6.9 54
8 Rennes 34 54.0 52.8 +1.2 59
9 Lorient 34 45.4 45.0 +0.4 45
10 Toulouse 33 42.9 42.6 +0.3 44
11 Stade Brestois 29 34 44.3 50.0 -5.7 39
12 Nantes 33 33.4 43.5 -10.1 23
13 Paris FC 34 44.4 56.1 -11.7 44
14 Le Havre 34 38.3 50.9 -12.6 35
15 Auxerre 34 35.5 48.1 -12.6 34
16 Nice 34 43.1 59.2 -16.1 32
17 Angers 34 32.4 55.4 -23.0 36
18 Metz 34 34.4 62.7 -28.3 17