Metz vs Laval prediction & probabilities (2026-08-22)

Ligue 2

Metz vs Laval Correct Score

2026-08-22 · 13:00
Correct Score1-1Most likely · 13.6%

Result

Metz 1-1 Laval

Final score 1-1. The model gave that exact scoreline 13.6%.

Best predictionMost likely · 13.6% · 1-1No single outcome dominates, read the distribution. Calibrated, not a tip.
ConvictionOpen

Expert AI analysis

The headline read is Most likely · 13.6% at 1-1, its strongest read on the Correct Score market. It is driven by both attacks and defences: Metz have averaged 1.8 scored and 1.6 conceded, Laval 1.0 and 1.8 over their recent games. That fits a tighter goals environment: 43.8% for over 2.5 and 70.5% for at least two goals. Their last 5 meetings have averaged 3.0 goals a game. These are the model’s own calibrated numbers, not betting advice.

Correct Score

Most likely1-1 13.6%
Scoreline Probability
1-1 13.6%
0-1 10.2%
1-0 9.9%
0-0 9.5%
1-2 8.0%
2-1 7.8%
0-2 6.7%
2-0 6.3%

Score probability grid

Metz \ Laval 0 1 2 3 4 5
0 9% 10% 7% 3% 1% ·
1 10% 14% 8% 3% 1% ·
2 6% 8% 5% 2% 1% ·
3 3% 3% 2% 1% · ·
4 1% 1% 1% · · ·
5 · · · · · ·

Rows = Metz goals, columns = Laval. The most likely scoreline is 1-1 at 13.6%. Rather than one score, the model spreads probability across the whole grid, that distribution is the real signal. Read the heatmap as a map of likelihood, not a prediction of one score.

Goals distribution

The model’s probability for the total number of goals, the shape behind every goals market. The 5+ bar groups every result with five or more goals.

9.5%

0

20.1%

1

26.6%

2

21.1%

3

12.8%

4

9.7%

5+

In-depth analysis

36.4%Favoured: Laval
50.1%Both Teams to Score
43.8%Over 2.5 goals

On the goals side, the model sees 43.8% for three or more goals and 70.5% for at least two, painting a lower-scoring picture. With Laval favoured at 36.4%, neither side dominating can mean an end-to-end match.

We publish the model, not a sure thing. We grade every call after the match.

Model lenses

Different analytical lenses our model applies to the same calibrated data, not separate tipsters, and never a tip.

The CalibratorRaw model read: 1-1 on Correct Score, graded against real out-of-sample results, no odds attached.
The TacticianSees a tighter, lower-scoring game from the 43.8% over 2.5 read.
The ScoutLaval are the model’s pick on the result at 36.4%, game state shapes how this market plays out.
The RealistThis one sits near a coin-flip, the honest read is low conviction, no strong lean.

Key players

G

Giorgi AbuashviliMetz · 3.16 shots/90
To score 8.2%

This season’s squad only, rated on recent form; a watch list, not a confirmed lineup.

Form & head-to-head

MetzLDWWD
LavalDLWLW

Last 5 meetings: Metz 3 · 2 draws · Laval 0 · 3.0 goals/game.

FAQ

What was the score in Metz vs Laval?
Metz vs Laval finished 1-1, exactly the model's most likely scoreline (13.6%).

How is this probability calculated?
We fit a goals and markets model (Dixon-Coles plus an xG strength model and an ensemble) on real match data, then calibrate the output against out-of-sample results. It is a calibrated model probability, not an odds-derived tip.

Is this a betting tip?
No – these are calibrated model probabilities, graded against real results. We publish our full track record, including the misses, and never claim to beat the closing market.

Overall model accuracy

We don’t yet publish a graded Correct Score-specific track record, so this is our overall accuracy across every 1X2 call, graded out-of-sample, updated daily.

0.0095Calibration error (1X2)
47.7%Top-pick hit rate (1X2)
55,261Matches graded

Predictions & track record updated 13 Sep 2026. See the full, dated track record →

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Model probabilities, calibration-graded, not a tip. We publish our track record, including the misses. 18+. For information only, not betting advice. If gambling is a problem, visit BeGambleAware.