SANPremier League · Model TerminalDATA · ···
← Board
Fixture 102scheduledGW 11

Bournemouth v Nott'm Forest

model prices only
Expected goals1.46 — 1.01
Expected points1.68 — 1.04
Over 2.544.7%fair 2.24
Both score49.5%fair 2.02
Most likely1-113.3%
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
BOU46.6%2.15–
Draw28.2%3.54–
NFO25.2%3.96–
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
Bournemouth46.6%2.15
Draw28.2%3.54
Nott'm Forest25.2%3.96
Double chance
Bournemouth or draw74.8%1.34
Bournemouth or Nott'm Forest71.8%1.39
Draw or Nott'm Forest53.4%1.87
Draw no bet
Bournemouth64.9%1.54
Nott'm Forest35.1%2.85
A draw returns the stake, so these prices exclude it.
Win to nil
Bournemouth27.1%3.69
Nott'm Forest13.9%7.19
Clean sheet
Bournemouth36.6%2.73
Nott'm Forest23.4%4.27
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 players7% home against 24% away xG missing
Favours BOU. 4 out and 3 doubtful for BOU, 3 out and 6 doubtful for NFO; measured as the share of recent expected goals those players contributed
Team rating gap+83 Elo
Favours BOU. BOU 1585 against NFO 1501, 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
Underlying expected goals+0.43 net xG per match
Favours BOU. BOU +1.54, NFO +1.12 across the form window — results are noisier than the chances behind them
Recent form1.40 against 0.80 points per game
Favours BOU. last 5 and 5 completed matches: WWLLD against DLLLW
Home advantage+60 Elo equivalent
Favours BOU. 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

BOU
WWLLD
12 Sept – 25 Oct
NFO
WLLLD
12 Sept – 23 Oct
1.40Points per game0.80
8Goals for4
8Goals against7
12.12Expected goals11.38
1,585Elo1,501

Head to head over 8 meetings in the seasons held (Premier League from 2021-22, Championship from 2024-25): BOU 4, drawn 4, NFO 0. 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

Bournemouth

7.0% xG out

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

ScottMIDinjured0%4.0% xG
Thigh injury - Expected back 21 Nov
Tóth.AMIDinjured0%
Hamstring injury - Unknown return date
J.AraujoDEFinjured0%
Thigh injury - Unknown return date
MilosavljevićDEFinjured0%
Thigh injury - Expected back 31 Oct
KluivertMIDdoubtful75%8.8% xG
Unspecified injury - 75% chance of playing
AdliMIDdoubtful75%3.1% xG
Calf injury - 75% chance of playing
Kroupi.JrMIDdoubtful75%
Foot injury - 75% chance of playing
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 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

SAN Terminal