ENG1 · Premier League · Match Analysis

Nottingham Forest vs
Arsenal

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

Analysis date18 Oct 2026
Target season2026/27
History window5 seasons
League tierTier 1
Model output

Match probabilities.

Probabilities are model estimates, not certainties or betting guarantees.

Home win
17.64%
Nottingham Forest
Draw
27.22%
X
Expected goals 0.78 - 1.57 2.35 total
BTTS 43.83% Both teams to score
Over 1.5 68.96% 2+ total goals
Over 2.5 41.68% 3+ total goals
Score model

Most likely scorelines.

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

#10:114.04%
#21:112.63%
#30:211.74%
#40:010.49%
#51:29.16%
Additional scorelines
1:06.51%
0:36.14%
1:34.79%
2:14.56%
2:23.58%
Team context

Strength and recent form.

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

Home

Nottingham Forest

Elo1482.9
Overall attack1.33
Overall defense1.43
Home attack1.27
Home defense1.14
Form signal+0.598
Last 5 xGF / xGA2.10 / 1.40
Last 10 xGF / xGA1.91 / 1.49
Last 10 xGD+0.41
League statusSTABLE · from ENG1 2025/26
Away

Arsenal

Elo1660.1
Overall attack1.75
Overall defense0.81
Away attack1.63
Away defense0.95
Form signal+0.980
Last 5 xGF / xGA1.87 / 0.94
Last 10 xGF / xGA1.90 / 0.83
Last 10 xGD+1.07
League statusSTABLE · from ENG1 2025/26
Elo difference
-177.1

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: 2.07
Average goals1.65Nottingham Forest 0.17 · Arsenal 1.47
H2H 3+ goals51.27%Historical context
H2H BTTS12.65%Model BTTS: 43.83%
H2H 2+ goals51.27%
H2H 3+ goals51.27%
H2H 4+ goals3.08%
H2H BTTS12.65%
Goal distribution

Total goals profile.

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

010.49%
120.55%
227.28%
320.62%
412.11%
55.69%
62.23%
7+1.04%
0-1 goals31.04%Low total
2+ goals68.96%Over 1.5
3+ goals41.68%Over 2.5
4+ goals21.06%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
LeagueENG1
Loaded teams27
Loaded historical matches1580
Target season2026/27
Previous seasons in history4
Season window2022/23 → 2023/24 → 2024/25 → 2025/26 → 2026/27
League tierTier 1
Historical league matches1580
xG matches1580 / 1580
Effective xG matches795.82
Observed home xG1.60
Observed away xG1.32
Model home xG baseline1.58
Model away xG baseline1.33
Total league xG baseline2.92
Home-advantage weight0.900
Model configdata/models/ENG1.json
Team attack half-life240.0 days
Team defense half-life240.0 days
Attack strength weight0.769
Defense strength weight1.006
Venue prior matches3.81
DistributionPoisson + Dixon-Coles
Dixon-Coles rho-0.080 (effective -0.080)
Dixon-Coles decay0.025
Goal overdispersion0.000
Implied goal variance H / A0.78 / 1.57
Relative strengths and form diagnostics

Nottingham Forest

Home attack strength0.828
Home defense weakness0.895
Base lambda home0.84
Attack form xGF level2.029
Defense form xGA level (lower is better)1.431
Opponent-adjusted attack residual+0.593
Opponent-adjusted defense residual (higher is better)+0.051
Opponent-adjustment weight0.003
Model attack signal+0.572
Model defense signal+0.027
Opponent blend0.050
Form matches 5 / 105 / 10
Last 5 xGF / xGA / xGD2.10 / 1.40 / +0.70
Last 10 xGF / xGA / xGD1.91 / 1.49 / +0.41

Arsenal

Away attack strength1.216
Away defense weakness0.612
Base lambda away1.39
Attack form xGF level1.880
Defense form xGA level (lower is better)0.899
Opponent-adjusted attack residual+0.372
Opponent-adjusted defense residual (higher is better)+0.511
Opponent-adjustment weight0.003
Model attack signal+0.422
Model defense signal+0.558
Opponent blend0.050
Form matches 5 / 105 / 10
Last 5 xGF / xGA / xGD1.87 / 0.94 / +0.93
Last 10 xGF / xGA / xGD1.90 / 0.83 / +1.07
Historical data coverage

Nottingham Forest

Total matches158
Home / away matches79 / 79
xG matches158 / 158
xG home / away coverage79 / 79 · 79 / 79
Effective total31.25
Effective attack / defense31.25 / 31.25
Effective home matches15.66
Effective home attack / defense15.66 / 15.66

Arsenal

Total matches158
Home / away matches79 / 79
xG matches158 / 158
xG home / away coverage79 / 79 · 79 / 79
Effective total31.21
Effective attack / defense31.21 / 31.21
Effective away matches15.54
Effective away attack / defense15.54 / 15.54
Historical data coverage
95.86%

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 1560 historical matches.

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

Total goals log-loss vs baseline+0.39%
1X2 log-loss vs baseline+8.77%
BTTS Brier vs baseline+0.20%
Over 2.5 Brier vs baseline+1.47%
Full backtest metrics
Model
MAE total goals1.3214
Exact score log-loss2.9763
Total goals Brier0.8267
Total goals log-loss1.8983
1X2 Brier0.5816
1X2 log-loss0.9769
BTTS Brier0.2450
Over 1.5 Brier0.1565
Over 2.5 Brier0.2406
Over 3.5 Brier0.2225
League baseline
MAE total goals1.3162
Exact score log-loss3.0981
Total goals Brier0.8288
Total goals log-loss1.9058
1X2 Brier0.6478
1X2 log-loss1.0708
BTTS Brier0.2454
Over 1.5 Brier0.1573
Over 2.5 Brier0.2442
Over 3.5 Brier0.2253
Calibration diagnostics
Home win · ECE 1.88%
 0- 10%  n=23   avg=  7.6% actual=  4.3%
10- 20%  n=124  avg= 16.0% actual= 11.3%
20- 30%  n=255  avg= 25.4% actual= 26.7%
30- 40%  n=307  avg= 35.1% actual= 38.8%
40- 50%  n=308  avg= 44.9% actual= 44.8%
50- 60%  n=242  avg= 55.0% actual= 55.4%
60- 70%  n=180  avg= 64.5% actual= 67.8%
70- 80%  n=90   avg= 74.0% actual= 74.4%
80- 90%  n=31   avg= 84.0% actual= 87.1%
Draw · ECE 1.60%
 0- 10%  n=9    avg=  8.8% actual=  0.0%
10- 20%  n=202  avg= 16.9% actual= 13.9%
20- 30%  n=1298 avg= 25.3% actual= 26.2%
30- 40%  n=51   avg= 31.0% actual= 19.6%
Away win · ECE 1.94%
 0- 10%  n=98   avg=  7.2% actual=  8.2%
10- 20%  n=287  avg= 15.3% actual= 12.5%
20- 30%  n=371  avg= 25.0% actual= 22.6%
30- 40%  n=311  avg= 34.6% actual= 34.4%
40- 50%  n=250  avg= 44.5% actual= 42.4%
50- 60%  n=153  avg= 54.4% actual= 56.2%
60- 70%  n=61   avg= 64.8% actual= 68.9%
70- 80%  n=24   avg= 74.2% actual= 79.2%
80- 90%  n=5    avg= 83.7% actual= 80.0%
BTTS · ECE 2.23%
30- 40%  n=15   avg= 37.4% actual= 33.3%
40- 50%  n=297  avg= 46.4% actual= 50.8%
50- 60%  n=857  avg= 55.2% actual= 56.8%
60- 70%  n=385  avg= 63.3% actual= 61.6%
70- 80%  n=6    avg= 70.7% actual= 66.7%
Over 2.5 · ECE 1.98%
20- 30%  n=1    avg= 25.7% actual=  0.0%
30- 40%  n=44   avg= 37.3% actual= 40.9%
40- 50%  n=329  avg= 46.3% actual= 48.6%
50- 60%  n=702  avg= 54.9% actual= 57.3%
60- 70%  n=417  avg= 63.9% actual= 63.1%
70- 80%  n=64   avg= 72.4% actual= 73.4%
80- 90%  n=3    avg= 80.5% actual=100.0%
Walk-forward - latest periods
PeriodNModel 1X2 LLBaseline 1X2 LLImprovement
2025-09300.98671.1044+10.66%
2025-10300.96850.9879+1.96%
2025-11400.94401.0317+8.51%
2025-12560.99681.0997+9.36%
2026-01491.14651.1210-2.28%
2026-02421.03141.1383+9.40%
2026-03321.11571.0927-2.11%
2026-04301.00221.0548+4.98%
2026-05411.04331.0775+3.17%
2026-08200.94021.0435+9.90%
2026-09301.10231.1547+4.53%
2026-10101.02621.0587+3.08%

Football is data.

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