FRA1 · Ligue 1 · Match Analysis

Lille vs
Brest

Model-based match probabilities derived from multi-season xG data, team strength, venue performance, recent form, Elo ratings and league context.

Analysis date17 Oct 2026
Target season2026/27
History window5 seasons
League tierTier 1
Model output

Match probabilities.

Probabilities are model estimates, not certainties or betting guarantees.

Draw
25.19%
X
Away win
21.17%
Brest
Expected goals 1.75 - 1.02 2.77 total
BTTS 53.63% Both teams to score
Over 1.5 77.16% 2+ total goals
Over 2.5 52.31% 3+ total goals
Score model

Most likely scorelines.

Exact-score probabilities from the Poisson + Dixon-Coles goal model.

#11:112.00%
#21:010.16%
#32:19.78%
#42:09.59%
#50:07.08%
Additional scorelines
1:25.71%
3:15.70%
0:15.59%
3:05.59%
2:24.99%
Team context

Strength and recent form.

Venue-adjusted team strength, Elo rating and recent xG performance.

Home

Lille

Elo1592.0
Overall attack1.55
Overall defense1.18
Home attack1.64
Home defense0.99
Form signal-0.056
Last 5 xGF / xGA1.44 / 1.54
Last 10 xGF / xGA1.40 / 1.38
Last 10 xGD+0.03
League statusSTABLE · from FRA1 2025/26
Away

Brest

Elo1490.2
Overall attack1.49
Overall defense1.48
Away attack1.17
Away defense1.64
Form signal+0.883
Last 5 xGF / xGA2.20 / 1.29
Last 10 xGF / xGA2.11 / 1.27
Last 10 xGD+0.84
League statusSTABLE · from FRA1 2025/26
Elo difference
+101.8

Elo is one input among several and does not determine the final 1X2 probability on its own.

Head-to-head

Historical matchup context.

H2H values provide context and are not used as a standalone prediction.

H2H matches8Effective: 2.16
Average goals2.99Lille 1.50 · Brest 1.49
H2H 3+ goals36.99%Historical context
H2H BTTS73.72%Model BTTS: 53.63%
H2H 2+ goals90.78%
H2H 3+ goals36.99%
H2H 4+ goals33.30%
H2H BTTS73.72%
Goal distribution

Total goals profile.

The model's probability distribution for the total number of goals.

07.08%
115.75%
224.86%
322.19%
415.36%
58.51%
63.93%
7+2.32%
0-1 goals22.84%Low total
2+ goals77.16%Over 1.5
3+ goals52.31%Over 2.5
4+ goals30.11%Over 3.5
Technical detail

How the model reached the estimate.

Detailed diagnostics are kept below the headline probabilities so the public report remains readable.

League baseline and model setup
LeagueFRA1
Loaded teams25
Loaded historical matches1352
Target season2026/27
Previous seasons in history4
Season window2022/23 → 2023/24 → 2024/25 → 2025/26 → 2026/27
League tierTier 1
Historical league matches1352
xG matches1351 / 1352
Effective xG matches665.47
Observed home xG1.62
Observed away xG1.31
Model home xG baseline1.62
Model away xG baseline1.30
Total league xG baseline2.92
Home-advantage weight1.016
Model configdata/models/FRA1.json
Team attack half-life240.0 days
Team defense half-life365.0 days
Attack strength weight0.881
Defense strength weight0.856
Venue prior matches4.81
DistributionPoisson + Dixon-Coles
Dixon-Coles rho-0.073 (effective -0.072)
Dixon-Coles decay0.025
Goal overdispersion0.000
Implied goal variance H / A1.75 / 1.02
Relative strengths and form diagnostics

Lille

Home attack strength1.018
Home defense weakness0.802
Base lambda home1.66
Attack form xGF level1.427
Defense form xGA level (lower is better)1.483
Opponent-adjusted attack residual-0.112
Opponent-adjusted defense residual (higher is better)-0.095
Opponent-adjustment weight0.000
Model attack signal-0.035
Model defense signal-0.021
Opponent blend0.000
Form matches 5 / 105 / 10
Last 5 xGF / xGA / xGD1.44 / 1.54 / -0.10
Last 10 xGF / xGA / xGD1.40 / 1.38 / +0.03

Brest

Away attack strength0.937
Away defense weakness1.011
Base lambda away1.02
Attack form xGF level2.168
Defense form xGA level (lower is better)1.285
Opponent-adjusted attack residual+0.682
Opponent-adjusted defense residual (higher is better)+0.151
Opponent-adjustment weight0.000
Model attack signal+0.706
Model defense signal+0.177
Opponent blend0.000
Form matches 5 / 105 / 10
Last 5 xGF / xGA / xGD2.20 / 1.29 / +0.91
Last 10 xGF / xGA / xGD2.11 / 1.27 / +0.84
Historical data coverage

Lille

Total matches146
Home / away matches73 / 73
xG matches146 / 146
xG home / away coverage73 / 73 · 73 / 73
Effective total28.63
Effective attack / defense28.63 / 43.39
Effective home matches14.39
Effective home attack / defense14.39 / 21.76

Brest

Total matches146
Home / away matches73 / 73
xG matches146 / 146
xG home / away coverage73 / 73 · 73 / 73
Effective total28.69
Effective attack / defense28.69 / 43.44
Effective away matches14.31
Effective away attack / defense14.31 / 21.68
Historical data coverage
89.66%

This measures usable historical evidence. It is not the probability that the prediction is correct.

Validation

Historical model performance.

Leakage-safe backtesting compares the fitted model with a league baseline over 1332 historical matches.

Positive improvement means the model performed better than the league baseline.

Total goals log-loss vs baseline+0.13%
1X2 log-loss vs baseline+6.78%
BTTS Brier vs baseline+0.15%
Over 2.5 Brier vs baseline+0.67%
Full backtest metrics
Model
MAE total goals1.3466
Exact score log-loss2.9655
Total goals Brier0.8292
Total goals log-loss1.9099
1X2 Brier0.5970
1X2 log-loss0.9986
BTTS Brier0.2482
Over 1.5 Brier0.1771
Over 2.5 Brier0.2461
Over 3.5 Brier0.2140
League baseline
MAE total goals1.3378
Exact score log-loss3.0550
Total goals Brier0.8301
Total goals log-loss1.9123
1X2 Brier0.6483
1X2 log-loss1.0711
BTTS Brier0.2486
Over 1.5 Brier0.1771
Over 2.5 Brier0.2478
Over 3.5 Brier0.2150
Calibration diagnostics
Home win · ECE 3.26%
 0- 10%  n=6    avg=  7.7% actual=  0.0%
10- 20%  n=58   avg= 16.5% actual= 12.1%
20- 30%  n=236  avg= 25.6% actual= 22.5%
30- 40%  n=316  avg= 35.2% actual= 40.5%
40- 50%  n=270  avg= 44.5% actual= 44.4%
50- 60%  n=240  avg= 54.3% actual= 53.3%
60- 70%  n=163  avg= 64.5% actual= 71.2%
70- 80%  n=33   avg= 73.7% actual= 69.7%
80- 90%  n=10   avg= 83.4% actual=100.0%
Draw · ECE 1.22%
 0- 10%  n=2    avg=  8.9% actual=  0.0%
10- 20%  n=112  avg= 17.4% actual= 18.8%
20- 30%  n=1206 avg= 25.4% actual= 24.4%
30- 40%  n=12   avg= 30.7% actual=  8.3%
Away win · ECE 1.77%
 0- 10%  n=25   avg=  7.2% actual=  4.0%
10- 20%  n=247  avg= 15.4% actual= 12.1%
20- 30%  n=339  avg= 24.7% actual= 25.1%
30- 40%  n=331  avg= 34.8% actual= 36.6%
40- 50%  n=230  avg= 44.4% actual= 45.7%
50- 60%  n=116  avg= 54.0% actual= 51.7%
60- 70%  n=32   avg= 63.7% actual= 65.6%
70- 80%  n=10   avg= 73.4% actual= 60.0%
80- 90%  n=2    avg= 82.1% actual=100.0%
BTTS · ECE 1.61%
30- 40%  n=1    avg= 39.0% actual=100.0%
40- 50%  n=110  avg= 47.8% actual= 45.5%
50- 60%  n=905  avg= 55.3% actual= 54.4%
60- 70%  n=314  avg= 62.8% actual= 59.9%
70- 80%  n=2    avg= 71.0% actual=100.0%
Over 2.5 · ECE 1.55%
30- 40%  n=9    avg= 37.5% actual= 66.7%
40- 50%  n=278  avg= 47.1% actual= 47.5%
50- 60%  n=705  avg= 54.8% actual= 53.9%
60- 70%  n=308  avg= 63.9% actual= 61.4%
70- 80%  n=31   avg= 73.2% actual= 64.5%
80- 90%  n=1    avg= 80.2% actual=100.0%
Walk-forward - latest periods
PeriodNModel 1X2 LLBaseline 1X2 LLImprovement
2025-09270.96251.0441+7.82%
2025-10361.05341.0920+3.53%
2025-11361.00881.0660+5.36%
2025-12180.86620.9834+11.92%
2026-01311.00561.0859+7.40%
2026-02360.96911.0515+7.84%
2026-03310.98841.0880+9.15%
2026-04351.02601.1181+8.24%
2026-05291.12181.0794-3.93%
2026-08181.07141.1311+5.28%
2026-09271.02971.0661+3.42%
2026-1090.74510.9251+19.46%

Football is data.

NILYTIX turns match data into transparent model probabilities and measurable analytical signals.