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Fixture 39scheduledGW 4

Man Utd v Man City

market prices held
Expected goals1.23 — 1.75
Expected points1.03 — 1.72
Over 2.557.2%fair 1.75
Both score59.1%fair 1.69
Most likely1-111.6%
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
MUN26.2%3.81−4.7 pp
Draw24.8%4.04+0.8 pp
MCI49.0%2.04+3.9 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
Man Utd26.2%3.81
Draw24.8%4.04
Man City49.0%2.04
Double chance
Man Utd or draw51.0%1.96
Man Utd or Man City75.2%1.33
Draw or Man City73.8%1.36
Draw no bet
Man Utd34.9%2.87
Man City65.1%1.53
A draw returns the stake, so these prices exclude it.
Win to nil
Man Utd11.6%8.59
Man City23.6%4.25
Clean sheet
Man Utd17.3%5.76
Man City29.3%3.42
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.

Underlying expected goals+0.66 net xG per match
Favours MUN. MUN +1.34, MCI +0.69 across the form window — results are noisier than the chances behind them
Team rating gap-110 Elo
Favours MCI. MUN 1617 against MCI 1728, 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
Home advantage+60 Elo equivalent
Favours MUN. 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
Recent form2.00 against 2.00 points per game
last 5 and 5 completed matches: WLWWD against WWLDW
Unavailable players0% home against 0% away xG missing
5 out and 1 doubtful for MUN, 1 out and 1 doubtful for MCI; measured as the share of recent expected goals those players contributed
Ch 04 · Comparison

Both sides

MUN
WLWWD
9 May – 30 Aug
MCI
WDLWW
13 May – 28 Aug
2.00Points per game2.00
11Goals for11
6Goals against5
13.79Expected goals9.65
1,617Elo1,728

Head to head over 10 meetings in the seasons held (Premier League from 2021-22, Championship from 2024-25): MUN 3, drawn 1, MCI 6. 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
h2haway2.231xBet44.8%31
h2hdraw4.20Betfair23.8%31
h2hhome3.171xBet31.5%31
Ch 06 · Availability

Man Utd

0.0% xG out

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

AmadMIDinjured0%
Unspecified injury - Unknown return date
BalebaMIDinjured0%
Ankle injury - Expected back 19 Sep
De LigtDEFinjured0%
Back injury - Unknown return date
HeatonGKPinjured0%
Hamstring injury - Unknown return date
UgarteMIDinjured0%
Knee injury - Unknown return date
MountMIDdoubtful75%
Foot injury - 75% chance of playing
Ch 06 · Availability

Man City

0.0% xG out

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

DokuMIDinjured0%
Calf injury - Expected back 5 Sep
Matheus N.DEFdoubtful75%
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 awaymodel 49.0% vs 2.23 (1xBet)+9.3 ppstake 1.9%medium confidence
h2h drawmodel 24.8% vs 4.20 (Betfair)+4.0 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