FRA1 · Ligue 1 · Match Analysis

Monaco vs
Toulouse

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

Analysis date10 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
26.91%
X
Away win
23.53%
Toulouse
Expected goals 1.70 – 1.12 2.82 total
BTTS 56.59% Both teams to score
Over 1.5 78.77% 2+ total goals
Over 2.5 53.63% 3+ total goals
Score model

Most likely scorelines.

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

#11:112.80%
#22:19.65%
#31:08.64%
#42:08.62%
#50:07.41%
Additional scorelines
1:26.35%
3:15.48%
2:25.41%
0:15.18%
3:04.89%
Team context

Strength and recent form.

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

Home

Monaco

Elo1591.8
Overall attack1.71
Overall defense1.34
Home attack1.89
Home defense1.16
Form signal-0.012
Last 5 xGF / xGA1.32 / 1.33
Last 10 xGF / xGA1.25 / 1.27
Last 10 xGD-0.02
League statusSTABLE · from FRA1 2025/26
Away

Toulouse

Elo1495.7
Overall attack1.44
Overall defense1.31
Away attack1.21
Away defense1.42
Form signal+0.395
Last 5 xGF / xGA2.14 / 1.69
Last 10 xGF / xGA1.81 / 1.52
Last 10 xGD+0.29
League statusSTABLE · from FRA1 2025/26
Elo difference
+96.1

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: 2.32
Average goals2.58Monaco 1.52 · Toulouse 1.05
H2H 3+ goals48.64%Historical context
H2H BTTS62.93%Model BTTS: 56.59%
H2H 2+ goals77.80%
H2H 3+ goals48.64%
H2H 4+ goals31.36%
H2H BTTS62.93%
Goal distribution

Total goals profile.

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

07.41%
113.82%
225.14%
322.28%
415.73%
58.89%
64.18%
7+2.54%
0–1 goals21.23%Low total
2+ goals78.77%Over 1.5
3+ goals53.63%Over 2.5
4+ goals31.34%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 matches1343
Target season2026/27
Previous seasons in history4
Season window2022/23 → 2023/24 → 2024/25 → 2025/26 → 2026/27
League tierTier 1
Historical league matches1343
xG matches1342 / 1343
Effective xG matches660.97
Observed home xG1.61
Observed away xG1.31
Model home xG baseline1.61
Model away xG baseline1.31
Total league xG baseline2.92
Home-advantage weight1.000
Model configdata/models/FRA1.json
Team attack half-life240.0 days
Team defense half-life240.0 days
Attack strength weight1.000
Defense strength weight1.000
Venue prior matches0.00
DistributionPoisson + Dixon-Coles
Dixon-Coles rho-0.130 (effective -0.130)
Dixon-Coles decay0.000
Goal overdispersion0.000
Implied goal variance H / A1.70 / 1.12
Relative strengths and form diagnostics

Monaco

Home attack strength1.123
Home defense weakness0.918
Base lambda home1.65
Attack form xGF level1.297
Defense form xGA level (lower is better)1.309
Opponent-adjusted attack residual-0.151
Opponent-adjusted defense residual (higher is better)+0.163
Opponent-adjustment weight0.000
Model attack signal-0.163
Model defense signal+0.151
Opponent blend0.000
Form matches 5 / 105 / 10
Last 5 xGF / xGA / xGD1.32 / 1.33 / -0.01
Last 10 xGF / xGA / xGD1.25 / 1.27 / -0.02

Toulouse

Away attack strength0.944
Away defense weakness0.912
Base lambda away1.13
Attack form xGF level2.027
Defense form xGA level (lower is better)1.632
Opponent-adjusted attack residual+0.548
Opponent-adjusted defense residual (higher is better)-0.191
Opponent-adjustment weight0.000
Model attack signal+0.566
Model defense signal-0.172
Opponent blend0.000
Form matches 5 / 105 / 10
Last 5 xGF / xGA / xGD2.14 / 1.69 / +0.45
Last 10 xGF / xGA / xGD1.81 / 1.52 / +0.29
Historical data coverage

Monaco

Total matches145
Home / away matches72 / 73
xG matches144 / 145
xG home / away coverage71 / 72 · 73 / 73
Effective total28.16
Effective attack / defense28.16 / 28.16
Effective home matches13.37
Effective home attack / defense13.37 / 13.37

Toulouse

Total matches145
Home / away matches73 / 72
xG matches145 / 145
xG home / away coverage73 / 73 · 72 / 72
Effective total28.20
Effective attack / defense28.20 / 28.20
Effective away matches13.77
Effective away attack / defense13.77 / 13.77
Historical data coverage
85.16%

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 1323 historical matches.

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

Total goals log-loss vs baseline-0.09%
1X2 log-loss vs baseline+6.57%
BTTS Brier vs baseline-0.05%
Over 2.5 Brier vs baseline+0.19%
Full backtest metrics
Model
MAE total goals1.3544
Exact score log-loss2.9759
Total goals Brier0.8304
Total goals log-loss1.9162
1X2 Brier0.6006
1X2 log-loss1.0038
BTTS Brier0.2494
Over 1.5 Brier0.1781
Over 2.5 Brier0.2474
Over 3.5 Brier0.2150
League baseline
MAE total goals1.3377
Exact score log-loss3.0577
Total goals Brier0.8307
Total goals log-loss1.9145
1X2 Brier0.6503
1X2 log-loss1.0744
BTTS Brier0.2493
Over 1.5 Brier0.1774
Over 2.5 Brier0.2479
Over 3.5 Brier0.2147
Calibration diagnostics
Home win · ECE 2.06%
 0- 10%  n=6    avg=  7.4% actual=  0.0%
10- 20%  n=61   avg= 16.3% actual=  9.8%
20- 30%  n=225  avg= 25.6% actual= 25.8%
30- 40%  n=341  avg= 35.2% actual= 37.5%
40- 50%  n=281  avg= 44.7% actual= 46.6%
50- 60%  n=219  avg= 54.5% actual= 55.7%
60- 70%  n=151  avg= 64.2% actual= 67.5%
70- 80%  n=31   avg= 73.5% actual= 77.4%
80- 90%  n=8    avg= 83.1% actual= 87.5%
Draw · ECE 2.22%
 0- 10%  n=1    avg=  9.2% actual=  0.0%
10- 20%  n=78   avg= 17.2% actual= 14.1%
20- 30%  n=1139 avg= 26.2% actual= 24.4%
30- 40%  n=105  avg= 30.9% actual= 24.8%
Away win · ECE 2.18%
 0- 10%  n=32   avg=  7.7% actual=  3.1%
10- 20%  n=262  avg= 15.6% actual= 13.7%
20- 30%  n=347  avg= 25.0% actual= 27.4%
30- 40%  n=335  avg= 34.9% actual= 37.3%
40- 50%  n=215  avg= 44.4% actual= 45.1%
50- 60%  n=88   avg= 54.0% actual= 52.3%
60- 70%  n=31   avg= 62.8% actual= 67.7%
70- 80%  n=11   avg= 73.3% actual= 63.6%
80- 90%  n=2    avg= 80.8% actual=100.0%
BTTS · ECE 2.90%
30- 40%  n=1    avg= 36.4% actual=100.0%
40- 50%  n=116  avg= 47.4% actual= 50.0%
50- 60%  n=794  avg= 55.4% actual= 55.0%
60- 70%  n=399  avg= 63.2% actual= 55.4%
70- 80%  n=13   avg= 70.9% actual= 76.9%
Over 2.5 · ECE 1.79%
20- 30%  n=1    avg= 27.5% actual=100.0%
30- 40%  n=19   avg= 37.8% actual= 52.6%
40- 50%  n=296  avg= 46.6% actual= 47.0%
50- 60%  n=640  avg= 54.8% actual= 54.8%
60- 70%  n=319  avg= 64.2% actual= 59.9%
70- 80%  n=48   avg= 72.9% actual= 62.5%
Walk-forward - latest periods
PeriodNModel 1X2 LLBaseline 1X2 LLImprovement
2025-08270.83920.9769+14.10%
2025-09270.96411.0440+7.66%
2025-10361.05871.0873+2.63%
2025-11361.01351.0690+5.19%
2025-12180.85960.9932+13.45%
2026-01311.00901.0915+7.56%
2026-02360.96261.0503+8.35%
2026-03310.98731.0913+9.53%
2026-04351.02001.1091+8.04%
2026-05291.12281.0814-3.83%
2026-08181.05551.1231+6.02%
2026-09271.04211.0693+2.54%

Football is data.

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