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Chelsea v Hull City

Sat, Sep 12, 10:00 AM ET · Matchweek 4 · Premier League

Club research: Chelsea · Hull City

Started · not saveable

Tested blind on past seasons. Tested blind on nine past Premier League seasons (2013-14 to 2021-22, 3,420 matches) it was never fit on, where it beat the previous model and a plain rating system. Its total-goals numbers follow the league's recent scoring rate, so they are the same for every match — in that test they were more accurate than the previous model's team-by-team totals. Its live record this season is still being graded. 36 Premier League matches have been graded under this model — far too few to support any accuracy claim. No live win rate or accuracy figure is quoted until its season record is large enough to mean something. These are themodel's own probability distributions, published so you can see what it says — not picks, not advice, and not compared against any price.

Small-sample input: Hull City's away rates come from 1 match. The model treats these tiny splits as fully informative, so this forecast is unusually sensitive to them.

Simulation story

7 chapters · read from the published artifact
Loading the matchup modelReading the outcome distributionPreparing the score scenariosPress Play to step through what the model expects, chapter by chapter, or read the report below.

Chelsea v Hull City

Chelsea host Hull City in matchweek 4.

model epl-model-v1-split-poissonno run count recorded
Match result

Full time, 90 minutes

The draw is a real outcome and is never folded away.

Chelsea win2.1%
Draw41.0%
Hull City win57.0%

Two of three outcomes

Chelsea or draw43%
Hull City or draw97.9%
Either side wins59%

Each is a sum of the three probabilities above, so it cannot disagree with them.

Exact score

The ten likeliest scorelines

These ten account for 99.8% of the distribution — the remaining 0.2% is spread across every other scoreline.

Score (ChelseaHull City)Probability
0–039.2%
0–134.7%
0–215.4%
0–34.5%
1–02%
1–11.7%
0–41%
1–20.8%
1–30.2%
0–50.2%
Goals

Total goals in the match

Expected 0.94. The middle half of the distribution falls between 0 and 1 goals.

Expected goals0.94
Median (p50)1
p10 – p900 – 2

Probability of each total (goals)

39
0
37
1
17
2
5
3
1
4
5
6
7
8

Over / under ladder

LineOverUnder
0.560.8%39.2%
1.524.1%75.9%
2.56.9%93.1%
3.51.5%98.5%
4.50.3%99.7%

Half lines only — a match cannot land exactly on one, so over and under sum to 100% with no push.

By side

How many each side scores

The marginal of the same grid — not a separate fit, so these add back to the total above.

Chelsea0.05 expected
95
0
5
1
2
3
4
5
Hull City0.89 expected
41
0
37
1
16
2
5
3
1
4
5
Derived

Goalscoring shape and margin

Every figure is an exact sum over the same score grid.

Both teams score2.9%
Chelsea clean sheet41.2%
Hull City clean sheet95.1%
Expected margin-0.84

Winning margin (Chelsea goals − Hull City goals)

1
-4
5
-3
16
-2
36
-1
41
0
2
+1
+2
+3
+4

Positive means Chelsea win by that many, 0 is the draw, negative means Hull City. Margins beyond ±4 carry the remaining mass and are not drawn.

Method

Where these numbers come from

Per-club attack and defence rates are fitted to Premier League results only, then combined into an exact Poisson score matrix for this fixture. Every probability on this page is a closed-form sum over that one grid — there is no sampling here, so there is no run count to quote and the figures are identical for every visitor, every time.

The fit takes an explicit cutoff at the run clock, so it cannot see a result from a match it is forecasting. Team-level only: no lineup, injury or team-news input exists in this model, by design.

Model
epl-model-v1-split-poisson
Scoring rates (λ)
Chelsea 0.05 · Hull City 0.89
Generated
2026-09-14T21:57:35Z
Validation
VALIDATED_OUT_OF_SAMPLE_HISTORY
More

Other Matchweek 4 fixtures

Paper-only and educational. Not betting advice. All Premier League fixtures