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

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

Nice Nice
Aug 22, 2026 - 18:45
0 1.05
0 1.16
xG Accuracy: 54%
Lorient Lorient

The model missed the final outcome (Draw 0–0).

The model had projected Nice at 36.3%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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

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

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Nice -4.4 pp

Outcome Model Closing Market Difference Signal
Nice 36.3% 40.7% -4.4 pp Aligned
Draw 30.9% 30.3% +0.6 pp Aligned
Lorient 32.8% 29.0% +3.9 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 result was Draw 0–0.

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

  • Both Teams To Score (No) matched the full-time result
  • Under 2.5 goals aligned with the xG profile
  • Exact score 0–0 fell within the model's highlighted bins

What failed

  • 1X2: model leaned Nice; match finished Draw

Market lesson

The full-time result was Draw 0–0, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. Aug 22, 2026 · 20:07 UTC Forecast generated
    • Model 1X2 · Nice 36.4% · Draw 30.9% · Lorient 32.8%
    • xG · Nice 1.05 — Lorient 1.16
  2. Aug 22, 2026 · 18:14 UTC Opening odds snapshot PRE30
    • 1X2 odds · Nice 2.27 · Draw 3.33 · Lorient 3.49
    • Implied 1X2 · Nice 42.9% · Draw 29.2% · Lorient 27.9%
    • Bookmaker · Pinnacle
  3. Aug 22, 2026 · 18:44 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Nice 2.39 · Draw 3.21 · Lorient 3.36
    • Implied 1X2 · Nice 40.7% · Draw 30.3% · Lorient 29.0%
    • Bookmaker · Pinnacle
  4. Aug 22, 2026 · 18:45 UTC Kickoff
  5. FT Full-time result Draw · 0–0
  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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 77/100
Betting Confidence 80/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 16, 2026 · 03:04 UTC Snapshot ID: dp-4241845

Closing Odds 2.39
AI Fair Odds —
CLV Pending
Final Result Draw · Nice 0–0 Lorient
Prediction ✖ Missed
Decision Grade C

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: Ligue 1
  • Fixture: Nice vs Lorient
  • Kickoff: 2026-08-22 18:45:00
  • 1X2 (model): Home 36.4% · Draw 30.9% · Away 32.8%
  • xG (showing): Nice 1.05 — Lorient 1.16 (total xG ≈ 2.21)
  • Value headline: None (actionable) — best tracked EV is about +0.9%, still below the +2.0% minimum for a headline / default stake (no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 62.0% · Over 2.5 38.0%); BTTS No (Yes 46.4% · No 53.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 46.4% · No 53.6%
  • Correct score (top bin): 1-1 (13.4%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

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 25, 2026 (UTC)

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Ligue 1 Ligue 1 — Standings
# TEAM MP W D L PTS
1 Monaco 5 4 1 0 13
2 Lyon 5 3 2 0 11
3 Paris FC 5 3 2 0 11
4 Lille 5 3 1 1 10
5 Rennes 5 3 1 1 10
6 Paris Saint Germain 5 2 2 1 8
7 Angers 5 2 1 2 7
8 Strasbourg 5 2 1 2 7
9 Le Mans 5 1 3 1 6
10 Auxerre 5 2 0 3 6
11 Stade Brestois 29 5 1 2 2 5
12 Lorient 5 1 2 2 5
13 Toulouse 5 1 2 2 5
14 Nice 5 1 2 2 5
15 Lens 5 1 1 3 4
16 Estac Troyes 5 1 1 3 4
17 Marseille 5 1 0 4 3
18 Le Havre 5 0 2 3 2
# TEAM MP GS GC +/- PTS
1 Lyon 5 10 2 +8 11
2 Strasbourg 5 10 10 0 7
3 Le Mans 5 9 9 0 6
4 Lens 5 9 9 0 4
5 Monaco 5 8 3 +5 13
6 Paris FC 5 8 3 +5 11
7 Lille 5 8 4 +4 10
8 Paris Saint Germain 5 8 7 +1 8
9 Rennes 5 8 9 -1 10
10 Stade Brestois 29 5 7 8 -1 5
11 Marseille 5 7 8 -1 3
12 Toulouse 5 7 9 -2 5
13 Auxerre 5 7 12 -5 6
14 Angers 5 6 5 +1 7
15 Lorient 5 5 6 -1 5
16 Le Havre 5 4 7 -3 2
17 Estac Troyes 5 4 11 -7 4
18 Nice 5 3 6 -3 5
# TEAM MP xG xGC +/- PTS
1 Lens 5 7.3 3.5 +3.8 4
2 Stade Brestois 29 5 4.4 1.8 +2.6 5
3 Paris FC 5 3.5 0.9 +2.6 11
4 Marseille 5 3.1 1.7 +1.4 3
5 Angers 5 3.6 2.5 +1.1 7
6 Monaco 5 2.9 1.8 +1.1 13
7 Paris Saint Germain 5 3.2 2.2 +1.0 8
8 Toulouse 5 3.8 2.9 +0.9 5
9 Estac Troyes 5 4.9 4.8 +0.1 4
10 Lorient 5 2.0 2.5 -0.5 5
11 Le Mans 5 3.7 4.3 -0.6 6
12 Lille 5 2.3 3.3 -1.0 10
13 Rennes 5 3.7 4.9 -1.2 10
14 Lyon 5 1.9 3.3 -1.4 11
15 Le Havre 5 1.3 3.1 -1.8 2
16 Nice 5 1.5 3.6 -2.1 5
17 Strasbourg 5 4.8 7.7 -2.9 7
18 Auxerre 5 3.1 6.1 -3.0 6