SCO1 · Scottish Premiership · Match Analysis

Rangers vs
Kilmarnock

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
14.21%
X
Away win
7.96%
Kilmarnock
Expected goals 3.00 – 0.94 3.94 total
BTTS 58.79% Both teams to score
Over 1.5 91.14% 2+ total goals
Over 2.5 75.35% 3+ total goals
Score model

Most likely scorelines.

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

#12:08.72%
#23:08.71%
#32:18.23%
#43:18.23%
#54:06.53%
Additional scorelines
1:16.20%
4:16.17%
1:05.10%
5:03.92%
2:23.89%
Team context

Strength and recent form.

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

Home

Rangers

Elo1628.4
Overall attack2.05
Overall defense1.10
Home attack2.32
Home defense1.06
Form signal+1.527
Last 5 xGF / xGA2.42 / 0.74
Last 10 xGF / xGA2.27 / 1.01
Last 10 xGD+1.26
League statusSTABLE · from SCO1 2025/26
Away

Kilmarnock

Elo1450.2
Overall attack1.25
Overall defense1.89
Away attack1.17
Away defense1.87
Form signal-0.632
Last 5 xGF / xGA1.05 / 1.67
Last 10 xGF / xGA1.24 / 1.90
Last 10 xGD-0.66
League statusSTABLE · from SCO1 2025/26
Elo difference
+178.2

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 matches10Effective: 3.16
Average goals4.26Rangers 3.42 · Kilmarnock 0.84
H2H 3+ goals88.45%Historical context
H2H BTTS62.03%Model BTTS: 58.79%
H2H 2+ goals88.45%
H2H 3+ goals88.45%
H2H 4+ goals65.66%
H2H BTTS62.03%
Goal distribution

Total goals profile.

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

02.65%
16.21%
215.78%
319.81%
419.53%
515.41%
610.13%
7+10.47%
0–1 goals8.86%Low total
2+ goals91.14%Over 1.5
3+ goals75.35%Over 2.5
4+ goals55.54%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
LeagueSCO1
Loaded teams14
Loaded historical matches954
Target season2026/27
Previous seasons in history4
Season window2022/23 → 2023/24 → 2024/25 → 2025/26 → 2026/27
League tierTier 1
Historical league matches954
xG matches270 / 954
Effective xG matches214.65
Observed home xG1.58
Observed away xG1.28
Model home xG baseline1.58
Model away xG baseline1.28
Total league xG baseline2.86
Home-advantage weight1.000
Model configdata/models/SCO1.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 / A3.00 / 0.94
Relative strengths and form diagnostics

Rangers

Home attack strength1.325
Home defense weakness0.882
Base lambda home2.36
Attack form xGF level2.365
Defense form xGA level (lower is better)0.838
Opponent-adjusted attack residual+0.928
Opponent-adjusted defense residual (higher is better)+0.587
Opponent-adjustment weight0.000
Model attack signal+0.936
Model defense signal+0.592
Opponent blend0.000
Form matches 5 / 105 / 10
Last 5 xGF / xGA / xGD2.42 / 0.74 / +1.67
Last 10 xGF / xGA / xGD2.27 / 1.01 / +1.26

Kilmarnock

Away attack strength0.938
Away defense weakness1.128
Base lambda away1.06
Attack form xGF level1.120
Defense form xGA level (lower is better)1.752
Opponent-adjusted attack residual-0.298
Opponent-adjusted defense residual (higher is better)-0.313
Opponent-adjustment weight0.000
Model attack signal-0.310
Model defense signal-0.322
Opponent blend0.000
Form matches 5 / 105 / 10
Last 5 xGF / xGA / xGD1.05 / 1.67 / -0.62
Last 10 xGF / xGA / xGD1.24 / 1.90 / -0.66
Historical data coverage

Rangers

Total matches159
Home / away matches79 / 80
xG matches45 / 159
xG home / away coverage22 / 79 · 23 / 80
Effective total23.52
Effective attack / defense23.52 / 23.52
Effective home matches11.24
Effective home attack / defense11.24 / 11.24

Kilmarnock

Total matches159
Home / away matches80 / 79
xG matches45 / 159
xG home / away coverage23 / 80 · 22 / 79
Effective total23.43
Effective attack / defense23.43 / 23.43
Effective away matches11.36
Effective away attack / defense11.36 / 11.36
Historical data coverage
68.24%

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 934 historical matches.

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

Total goals log-loss vs baseline-0.04%
1X2 log-loss vs baseline+3.76%
BTTS Brier vs baseline+0.54%
Over 2.5 Brier vs baseline+0.19%
Full backtest metrics
Model
MAE total goals1.3027
Exact score log-loss3.0325
Total goals Brier0.8273
Total goals log-loss1.8834
1X2 Brier0.6156
1X2 log-loss1.0263
BTTS Brier0.2503
Over 1.5 Brier0.1701
Over 2.5 Brier0.2497
Over 3.5 Brier0.2204
League baseline
MAE total goals1.3023
Exact score log-loss3.0870
Total goals Brier0.8274
Total goals log-loss1.8826
1X2 Brier0.6444
1X2 log-loss1.0664
BTTS Brier0.2516
Over 1.5 Brier0.1698
Over 2.5 Brier0.2501
Over 3.5 Brier0.2197
Calibration diagnostics
Home win · ECE 10.44%
10- 20%  n=20   avg= 16.0% actual= 25.0%
20- 30%  n=39   avg= 25.7% actual= 17.9%
30- 40%  n=247  avg= 37.1% actual= 29.1%
40- 50%  n=537  avg= 42.9% actual= 54.6%
50- 60%  n=41   avg= 53.4% actual= 41.5%
60- 70%  n=33   avg= 63.8% actual= 75.8%
70- 80%  n=13   avg= 75.3% actual= 84.6%
80- 90%  n=4    avg= 84.8% actual=100.0%
Draw · ECE 5.43%
 0- 10%  n=1    avg=  9.0% actual=  0.0%
10- 20%  n=22   avg= 16.9% actual=  9.1%
20- 30%  n=868  avg= 28.4% actual= 22.9%
30- 40%  n=43   avg= 31.2% actual= 34.9%
Away win · ECE 7.57%
 0- 10%  n=18   avg=  7.0% actual=  5.6%
10- 20%  n=56   avg= 15.7% actual= 19.6%
20- 30%  n=456  avg= 27.5% actual= 20.8%
30- 40%  n=343  avg= 32.6% actual= 42.6%
40- 50%  n=32   avg= 44.9% actual= 46.9%
50- 60%  n=17   avg= 54.8% actual= 47.1%
60- 70%  n=11   avg= 63.3% actual= 72.7%
70- 80%  n=1    avg= 70.9% actual=  0.0%
BTTS · ECE 3.59%
30- 40%  n=3    avg= 38.1% actual=  0.0%
40- 50%  n=67   avg= 46.6% actual= 47.8%
50- 60%  n=825  avg= 55.0% actual= 51.5%
60- 70%  n=39   avg= 62.7% actual= 56.4%
Over 2.5 · ECE 6.17%
30- 40%  n=15   avg= 36.8% actual= 26.7%
40- 50%  n=577  avg= 48.7% actual= 54.8%
50- 60%  n=296  avg= 52.0% actual= 58.4%
60- 70%  n=41   avg= 64.1% actual= 61.0%
70- 80%  n=5    avg= 74.1% actual= 60.0%
Walk-forward - latest periods
PeriodNModel 1X2 LLBaseline 1X2 LLImprovement
2025-09151.12641.1263-0.01%
2025-10230.99931.0516+4.97%
2025-11220.99611.1143+10.61%
2025-12340.93621.0301+9.11%
2026-01250.86921.0779+19.36%
2026-02290.95871.0372+7.57%
2026-03161.12891.0485-7.67%
2026-04180.93301.0215+8.66%
2026-05241.07721.0639-1.26%
2026-0711.55151.2725-21.93%
2026-08180.94471.0669+11.46%
2026-09231.02271.1095+7.83%

Football is data.

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