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Fixture 38scheduledGW 4

Coventry City v Brighton

market prices held
Expected goals1.06 — 1.57
Expected points1.00 — 1.74
Over 2.549.0%fair 2.04
Both score52.5%fair 1.91
Most likely1-112.7%
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
COV24.8%4.03+2.7 pp
Draw25.9%3.85+1.4 pp
BHA49.2%2.03−4.2 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.

Thin sample

Coventry City has only 2 completed matches in the training window, so its fitted strength is imprecise. Treat the long prices in this book as arithmetic rather than information: a real bookmaker would quote a much shorter price on the outsider.

Matches behind each fit: Coventry City 2 · Brighton 149
Match result
Coventry City24.8%4.03
Draw25.9%3.85
Brighton49.2%2.03
Double chance
Coventry City or draw50.8%1.97
Coventry City or Brighton74.1%1.35
Draw or Brighton75.2%1.33
Draw no bet
Coventry City33.5%2.98
Brighton66.5%1.50
A draw returns the stake, so these prices exclude it.
Win to nil
Coventry City12.8%7.81
Brighton27.5%3.64
Clean sheet
Coventry City20.0%4.99
Brighton34.7%2.88
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 14% away xG missing
Favours COV. 3 out and 0 doubtful for COV, 4 out and 3 doubtful for BHA; measured as the share of recent expected goals those players contributed
Underlying expected goals-0.77 net xG per match
Favours BHA. COV -0.11, BHA +0.65 across the form window — results are noisier than the chances behind them
Team rating gap-76 Elo
Favours BHA. COV 1486 against BHA 1562, 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
Recent form1.80 against 1.20 points per game
Favours COV. last 5 and 5 completed matches: LLWWW against LWLLW
Home advantage+60 Elo equivalent
Favours COV. 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
Ch 04 · Comparison

Both sides

COV · incl. Championship
LLWWW
21 Apr – 29 Aug
BHA
WLLWL
9 May – 30 Aug
1.80Points per game1.20
12Goals for10
6Goals against8
1.74Expected goals (2 of 5)10.95
1,486Elo1,562
Ch 05 · Market

Bookmaker prices

Real bookmaker prices, collected from published market data.

MarketSelectionBestBookImpliedN
h2haway1.831xBet54.6%33
h2hdraw4.00Betfred (UK)25.0%33
h2hhome4.70Tipico21.3%33
Ch 06 · Availability

Coventry City

0.0% xG out

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

Kesler-HaydenDEFinjured0%
Hamstring injury - Unknown return date
WoolfendenDEFinjured0%
Knee injury - Unknown return date
WrightFWDinjured0%
Thigh injury - Unknown return date
Ch 06 · Availability

Brighton

14.4% xG out

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

FergusonFWDinjured0%
Ankle injury - Expected back 10 Oct
MintehMIDinjured0%
Leg injury - Expected back 28 Nov
MitomaMIDinjured0%
Hamstring injury - Unknown return date
TzimasFWDinjured0%
Knee injury - Unknown return date
HinshelwoodMIDdoubtful50%27.0% xG
Unspecified injury - 50% chance of playing
AyariMIDdoubtful75%2.1% xG
Ankle injury - 75% chance of playing
GeorginioFWDdoubtful75%1.5% xG
Unspecified injury - 75% chance of playing
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 24.8% vs 4.70 (Tipico)+16.7 ppstake 1.1%medium confidence
h2h drawmodel 25.9% vs 4.00 (Betfred (UK))+3.8 ppstake 0.3%low 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