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Fixture 119scheduledGW 12

Nott'm Forest v Chelsea

model prices only
Expected goals1.16 — 1.13
Expected points1.37 — 1.32
Over 2.539.9%fair 2.51
Both score47.2%fair 2.12
Most likely1-114.2%
Markets priced27
Ch 01 · Outcome

Match result

No bookmaker prices are held for this fixture, so there is no caret to compare against. Fair price is 1 / probability with no margin, and is not a price anyone is offering.

OutcomeModel probabilityProbFairΔ
NFO35.4%2.83–
Draw30.7%3.26–
CHE33.9%2.95–
Ch 02 · Book

27 markets

dixon_coles xi001-20261102

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
Nott'm Forest35.4%2.83
Draw30.7%3.26
Chelsea33.9%2.95
Double chance
Nott'm Forest or draw66.1%1.51
Nott'm Forest or Chelsea69.3%1.44
Draw or Chelsea64.6%1.55
Draw no bet
Nott'm Forest51.1%1.96
Chelsea48.9%2.04
A draw returns the stake, so these prices exclude it.
Win to nil
Nott'm Forest21.1%4.74
Chelsea20.2%4.95
Clean sheet
Nott'm Forest32.6%3.06
Chelsea31.7%3.15
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+1.51 net xG per match
Favours NFO. NFO +1.12, CHE -0.39 across the form window — results are noisier than the chances behind them
Unavailable players24% home against 34% away xG missing
Favours NFO. 3 out and 6 doubtful for NFO, 9 out and 5 doubtful for CHE; measured as the share of recent expected goals those players contributed
Recent form0.80 against 1.40 points per game
Favours CHE. last 5 and 5 completed matches: DLLLW against LWWLD
Team rating gap-64 Elo
Favours CHE. NFO 1501 against CHE 1566, 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 NFO. 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

NFO
DLLLW
12 Sept – 23 Oct
CHE
DLWWL
12 Sept – 24 Oct
0.80Points per game1.40
4Goals for9
7Goals against8
11.38Expected goals5.53
1,501Elo1,566

Head to head over 8 meetings in the seasons held (Premier League from 2021-22, Championship from 2024-25): NFO 2, drawn 3, CHE 3. Cup ties and earlier seasons are not included, so a full-history site will show more.

Ch 05 · Market

Bookmaker prices

No bookmaker prices held for this fixture. Every price shown is the model's own fair price, meaning 1 / probability with no margin. Nobody is offering these.

Nothing held. football-data.co.uk publishes weekend Premier League prices on Friday afternoon, and The Odds API needs a key. Historical fixtures already carry closing odds, so the comparison works there.

Ch 06 · Availability

Nott'm Forest

23.7% xG out

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

Igor JesusFWDinjured0%8.5% xG
Calf injury - Unknown return date
I.SangaréMIDinjured0%0.6% xG
Calf injury - Unknown return date
SavonaDEFinjured0%
Knee injury - Unknown return date
Gibbs-WhiteMIDdoubtful75%17.3% xG
Muscular injury - 75% chance of playing
NdoyeMIDdoubtful50%15.9% xG
Hamstring injury - 50% chance of playing
N.WilliamsDEFdoubtful75%6.5% xG
Arm injury - 75% chance of playing
MilenkovićDEFdoubtful75%1.4% xG
Knee injury - 75% chance of playing
Jair CunhaDEFdoubtful75%1.2% xG
Hamstring injury - 75% chance of playing
DominguezMIDdoubtful75%
Muscular injury - 75% chance of playing
Ch 06 · Availability

Chelsea

34.3% xG out

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

João PedroFWDinjured0%22.7% xG
Thigh injury - Unknown return date
LacroixDEFinjured0%3.0% xG
Hamstring injury - Unknown return date
JamesDEFinjured0%2.5% xG
Knee injury - Unknown return date
ChavarriaDEFinjured0%0.3% xG
Unspecified injury - Expected back 31 Oct
HatoDEFinjured0%0.1% xG
Unspecified injury - Unknown return date
MartinezGKPinjured0%
Head injury - Unknown return date
AnselminoDEFinjured0%
Unspecified injury - Unknown return date
EmeghaFWDinjured0%
Hamstring injury - Unknown return date
GittensMIDinjured0%
Ankle injury - Unknown return date
PalmerMIDdoubtful75%18.7% xG
Muscular injury - 75% chance of playing
and 4 more
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 08 · Briefing

Written summary

Nothing written for this fixture yet. Briefings are generated twice a day for fixtures inside the next eight days, and rewritten only when a probability or a team-news item actually moves. The numbers above do not wait on it.

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