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Fixture 25scheduledGW 3

Fulham v Crystal Palace

market prices held
Expected goals1.43 — 0.94
Expected points1.72 — 1.00
Over 2.542.3%fair 2.36
Both score47.1%fair 2.12
Most likely1-113.3%
Markets priced27
Ch 01 · Outcome

Match result

The bar is the model's probability; the caret on the same scale is the market's, with the margin removed. The distance between them is the disagreement.

OutcomeModel fill · market caretProbFairΔ mkt
FUL47.7%2.10+6.2 pp
Draw28.3%3.53+0.7 pp
CRY23.9%4.18−6.8 pp
Ch 02 · Book

27 markets

dixon_coles xi001-20260903

Model fair prices, computed as 1 / probability from a Dixon-Coles score matrix. No bookmaker margin is included, and no bookmaker is quoting these. A real price will be shorter than every number here.

Match result
Fulham47.7%2.10
Draw28.3%3.53
Crystal Palace23.9%4.18
Double chance
Fulham or draw76.1%1.31
Fulham or Crystal Palace71.7%1.40
Draw or Crystal Palace52.3%1.91
Draw no bet
Fulham66.6%1.50
Crystal Palace33.4%2.99
A draw returns the stake, so these prices exclude it.
Win to nil
Fulham29.0%3.45
Crystal Palace13.8%7.25
Clean sheet
Fulham39.1%2.56
Crystal Palace23.9%4.18
Ch 03 · Reasoning

What is driving this

computed, not generated

Computed arithmetic, not generated text. Each driver is a stored quantity: the Elo difference replayed from results, points per game over the last five matches, rolling expected goals, and each absent player's share of team expected goals.

Unavailable players0% home against 26% away xG missing
Favours FUL. 1 out and 1 doubtful for FUL, 4 out and 0 doubtful for CRY; measured as the share of recent expected goals those players contributed
Underlying expected goals+1.01 net xG per match
Favours FUL. FUL +0.00, CRY -1.00 across the form window — results are noisier than the chances behind them
Recent form0.80 against 0.20 points per game
Favours FUL. last 5 and 5 completed matches: LLWDL against LLLDL
Home advantage+60 Elo equivalent
Favours FUL. the football default is around 100 Elo points, but Premier League home advantage fell during the crowdless 2020/21 season and settled lower afterwards, so the ratings carry a smaller term
Team rating gap+11 Elo
Favours FUL. FUL 1514 against CRY 1503, computed from stored results; an Elo-driven model scores RPS around 0.2015 on this league against roughly 0.194 for de-vigged closing odds
Ch 04 · Comparison

Both sides

FUL
LLWDL
9 May – 30 Aug
CRY
LDLLL
13 May – 28 Aug
0.80Points per game0.20
5Goals for4
6Goals against13
6.90Expected goals6.42
1,514Elo1,503

Head to head over 8 meetings in the seasons held (Premier League from 2021-22, Championship from 2024-25): FUL 2, drawn 4, CRY 2. Cup ties and earlier seasons are not included, so a full-history site will show more.

Ch 05 · Market

Bookmaker prices

Real bookmaker prices, collected from published market data.

MarketSelectionBestBookImpliedN
h2haway3.211xBet31.2%43
h2hdraw3.60Betfair Sportsbook27.8%43
h2hhome2.42Betfair41.3%43
Ch 06 · Availability

Fulham

0.0% xG out

Share of attacking output is what moves the number, so it is shown rather than implied.

CairneyMIDinjured0%
Knee injury - Expected back 10 Oct
De FougerollesDEFdoubtful75%
Unspecified injury - 75% chance of playing
Ch 06 · Availability

Crystal Palace

26.4% xG out

Share of attacking output is what moves the number, so it is shown rather than implied.

MatetaFWDinjured0%26.4% xG
Hamstring injury - Expected back 11 Oct
Chadi RiadDEFinjured0%
Knee injury - Unknown return date
SarrMIDinjured0%
Groin injury - Unknown return date
UcheFWDunavailable0%
has returned to Getafe CF
Ch 07 · Simulation

Re-price without a player

Removing a player scales that side's expected goals by their share of recent attacking output, then rebuilds the score matrix. Every market moves together.

Ch 09 · Divergence

Where the model differs from a price

Shown with the model's own record, because that is what decides how much these are worth.

h2h homemodel 47.7% vs 2.42 (Betfair)+15.5 ppstake 2.0%medium confidence
Ch 10 · Calibration

How this model actually scores

Dixon-Coles bivariate Poisson fitted to Premier League results with exponential time decay. Statistical model, no language model involved.

loses to closing market2,281 out-of-sample fixtures
MetricModelMarketΔ
Ranked probability score0.20470.1965+0.0082
Log loss0.98820.9623+0.0259
Brier0.58830.5711+0.0172
Accuracy52.5%54.8%−2.3 pp

Lower is better for the first three. These probabilities are for reading a fixture, not for expecting profit against closing prices. What these numbers mean