NED1 · Eredivisie · Match Analysis

Telstar vs
Feyenoord

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.

Home win
14.77%
Telstar
Draw
18.33%
X
Expected goals 1.15 - 2.58 3.73 total
BTTS 62.61% Both teams to score
Over 1.5 88.51% 2+ total goals
Over 2.5 71.02% 3+ total goals
Score model

Most likely scorelines.

Exact-score probabilities from the NB2 + Dixon-Coles goal model.

#11:28.82%
#20:27.96%
#31:17.81%
#41:37.47%
#50:36.74%
Additional scorelines
0:15.78%
2:25.03%
1:44.88%
0:44.41%
2:34.26%
Team context

Strength and recent form.

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

Home

Telstar

Elo1468.6
Overall attack1.47
Overall defense1.89
Home attack1.72
Home defense1.67
Form signal-0.605
Last 5 xGF / xGA1.22 / 1.84
Last 10 xGF / xGA1.30 / 1.88
Last 10 xGD-0.58
League statusSTABLE · from NED1 2025/26
Away

Feyenoord

Elo1636.9
Overall attack2.21
Overall defense1.06
Away attack2.05
Away defense1.08
Form signal+2.007
Last 5 xGF / xGA2.64 / 0.60
Last 10 xGF / xGA2.68 / 0.75
Last 10 xGD+1.94
League statusSTABLE · from NED1 2025/26
Elo difference
-168.3

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 matches2Effective: 1.18
Average goals3.00Telstar 1.00 · Feyenoord 2.00
H2H 3+ goals100.00%Historical context
H2H BTTS100.00%Model BTTS: 62.61%
H2H 2+ goals100.00%
H2H 3+ goals100.00%
H2H 4+ goals0.00%
H2H BTTS100.00%
Goal distribution

Total goals profile.

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

03.44%
18.06%
217.48%
320.31%
418.71%
514.02%
68.90%
7+9.09%
0-1 goals11.49%Low total
2+ goals88.51%Over 1.5
3+ goals71.02%Over 2.5
4+ goals50.71%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
LeagueNED1
Loaded teams25
Loaded historical matches1296
Target season2026/27
Previous seasons in history4
Season window2022/23 → 2023/24 → 2024/25 → 2025/26 → 2026/27
League tierTier 1
Historical league matches1296
xG matches378 / 1296
Effective xG matches300.79
Observed home xG1.78
Observed away xG1.44
Model home xG baseline1.82
Model away xG baseline1.41
Total league xG baseline3.22
Home-advantage weight1.238
Model configdata/models/NED1.json
Team attack half-life240.0 days
Team defense half-life240.0 days
Attack strength weight1.012
Defense strength weight0.828
Venue prior matches0.00
DistributionNB2 + Dixon-Coles
Dixon-Coles rho-0.095 (effective -0.092)
Dixon-Coles decay0.028
Goal overdispersion0.031
Implied goal variance H / A1.19 / 2.79
Relative strengths and form diagnostics

Telstar

Home attack strength0.982
Home defense weakness1.097
Base lambda home1.41
Attack form xGF level1.251
Defense form xGA level (lower is better)1.855
Opponent-adjusted attack residual-0.326
Opponent-adjusted defense residual (higher is better)-0.204
Opponent-adjustment weight0.000
Model attack signal-0.360
Model defense signal-0.245
Opponent blend0.000
Form matches 5 / 105 / 10
Last 5 xGF / xGA / xGD1.22 / 1.84 / -0.62
Last 10 xGF / xGA / xGD1.30 / 1.88 / -0.58

Feyenoord

Away attack strength1.257
Away defense weakness0.757
Base lambda away1.91
Attack form xGF level2.656
Defense form xGA level (lower is better)0.649
Opponent-adjusted attack residual+0.959
Opponent-adjusted defense residual (higher is better)+0.877
Opponent-adjustment weight0.000
Model attack signal+1.046
Model defense signal+0.961
Opponent blend0.000
Form matches 5 / 105 / 10
Last 5 xGF / xGA / xGD2.64 / 0.60 / +2.04
Last 10 xGF / xGA / xGD2.68 / 0.75 / +1.94
Historical data coverage

Telstar

Total matches42
Home / away matches21 / 21
xG matches42 / 42
xG home / away coverage21 / 21 · 21 / 21
Effective total22.15
Effective attack / defense22.15 / 22.15
Effective home matches10.98
Effective home attack / defense10.98 / 10.98

Feyenoord

Total matches144
Home / away matches72 / 72
xG matches42 / 144
xG home / away coverage21 / 72 · 21 / 72
Effective total22.14
Effective attack / defense22.14 / 22.14
Effective away matches11.10
Effective away attack / defense11.10 / 11.10
Historical data coverage
63.12%

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 1276 historical matches.

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

Total goals log-loss vs baseline+0.66%
1X2 log-loss vs baseline+6.39%
BTTS Brier vs baseline-0.04%
Over 2.5 Brier vs baseline+1.28%
Full backtest metrics
Model
MAE total goals1.3977
Exact score log-loss3.1300
Total goals Brier0.8380
Total goals log-loss1.9536
1X2 Brier0.6010
1X2 log-loss1.0049
BTTS Brier0.2427
Over 1.5 Brier0.1404
Over 2.5 Brier0.2431
Over 3.5 Brier0.2432
League baseline
MAE total goals1.4089
Exact score log-loss3.2374
Total goals Brier0.8400
Total goals log-loss1.9665
1X2 Brier0.6494
1X2 log-loss1.0734
BTTS Brier0.2426
Over 1.5 Brier0.1421
Over 2.5 Brier0.2463
Over 3.5 Brier0.2471
Calibration diagnostics
Home win · ECE 6.54%
 0- 10%  n=5    avg=  9.0% actual= 20.0%
10- 20%  n=28   avg= 16.8% actual= 14.3%
20- 30%  n=101  avg= 26.3% actual= 19.8%
30- 40%  n=290  avg= 36.1% actual= 23.8%
40- 50%  n=546  avg= 44.5% actual= 48.5%
50- 60%  n=175  avg= 54.3% actual= 62.9%
60- 70%  n=75   avg= 64.0% actual= 65.3%
70- 80%  n=37   avg= 74.3% actual= 70.3%
80- 90%  n=19   avg= 84.0% actual= 84.2%
Draw · ECE 1.58%
 0- 10%  n=8    avg=  8.7% actual= 25.0%
10- 20%  n=92   avg= 16.6% actual= 21.7%
20- 30%  n=1176 avg= 26.6% actual= 25.4%
Away win · ECE 7.41%
 0- 10%  n=39   avg=  6.9% actual=  2.6%
10- 20%  n=152  avg= 16.1% actual= 13.8%
20- 30%  n=528  avg= 26.0% actual= 19.7%
30- 40%  n=376  avg= 33.7% actual= 44.7%
40- 50%  n=113  avg= 44.0% actual= 53.1%
50- 60%  n=42   avg= 54.2% actual= 52.4%
60- 70%  n=21   avg= 64.8% actual= 76.2%
70- 80%  n=4    avg= 75.8% actual= 50.0%
80- 90%  n=1    avg= 80.1% actual=100.0%
BTTS · ECE 2.40%
40- 50%  n=34   avg= 47.8% actual= 50.0%
50- 60%  n=1076 avg= 53.9% actual= 56.2%
60- 70%  n=156  avg= 63.6% actual= 65.4%
70- 80%  n=10   avg= 72.2% actual= 90.0%
Over 2.5 · ECE 7.60%
40- 50%  n=657  avg= 48.9% actual= 56.8%
50- 60%  n=390  avg= 53.5% actual= 63.8%
60- 70%  n=153  avg= 64.4% actual= 63.4%
70- 80%  n=66   avg= 73.4% actual= 69.7%
80- 90%  n=10   avg= 83.2% actual= 90.0%
Walk-forward - latest periods
PeriodNModel 1X2 LLBaseline 1X2 LLImprovement
2025-09290.94901.0452+9.20%
2025-10280.87361.0587+17.48%
2025-11341.08561.0480-3.58%
2025-12270.98661.1128+11.34%
2026-01301.15911.1345-2.17%
2026-02381.01771.0729+5.15%
2026-03321.01991.0455+2.44%
2026-04270.87401.0770+18.85%
2026-05271.00361.1111+9.67%
2026-08331.02281.1116+8.00%
2026-09301.00741.1451+12.03%
2026-1091.06071.1531+8.01%

Football is data.

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