AI Predictions

Poisson match modelling and expected points, computed on the server

ID 1900182 –

Gameweek 1 Predictions

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Captain picks for GW1

Chance of a goal or assist, from the model's expected goals and assists

Match Outcomes

10 Fixtures

Friday 21 August

Arsenal
20:00
Coventry City
74% 17% draw 9%
2.30 xG Arsenal strong favourites 0.68 xG

Saturday 22 August

Hull City
12:30
Man Utd
24% 24% draw 52%
1.03 xG Man Utd favourites 1.66 xG
Everton
15:00
Crystal Palace
48% 25% draw 27%
1.59 xG Everton favourites 1.13 xG
Ipswich Town
15:00
Sunderland
34% 26% draw 40%
1.30 xG Sunderland favourites 1.42 xG
Nott'm Forest
15:00
Leeds
49% 24% draw 26%
1.65 xG Nott'm Forest favourites 1.13 xG
Brentford
17:30
Spurs
48% 25% draw 27%
1.59 xG Brentford favourites 1.13 xG

Sunday 23 August

Brighton
14:00
Aston Villa
26% 25% draw 49%
1.10 xG Aston Villa favourites 1.61 xG
Man City
14:00
Bournemouth
64% 21% draw 14%
1.94 xG Man City strong favourites 0.79 xG
Newcastle
16:30
Liverpool
24% 25% draw 51%
1.03 xG Liverpool favourites 1.61 xG

Monday 24 August

Fulham
20:00
Chelsea
24% 25% draw 51%
1.03 xG Chelsea favourites 1.61 xG

Player Projections

GW1–3 · Top 25

How did we do in GW10?

Our top 10, as predicted before the deadline, against what they scored

Our top 10 averaged 5.4 points, against 2.9 for the average player who played. The week's top scorer was Barry with 16.

How these numbers are produced

Match outcomes

Attack and defence ratings are fitted for every club from three seasons of real matches — expected goals, shots on target and the closing betting market — weighted towards recent form and pulled back towards the league average where the evidence is thin. Those set an expected goal rate for both sides, and summing a Poisson grid over every scoreline gives the home / draw / away probabilities, with a correction for how much more often real football ends 0-0 and 1-1 than independence predicts. A club with no top-flight record yet falls back to FPL's own strength ratings.

Player expected points

Per-90 rates for goals, assists, saves, bonus and cards are scored against the real FPL points rules — a clean sheet is the opponent's own goal rate failing to produce a goal, and the conceded deduction is the expected value of the rule rather than half the expected goals. Early in a season those rates are shrunk towards the player's previous season, so one quiet opener does not become his level. That structural estimate is blended with a form prior and with FPL's own next-gameweek estimate, weighted by how much of a record there is to read, and then half-and-half with the player's own points per gameweek so far — the mix that ranked players best when past predictions were scored against what actually happened. Expected minutes lean on the last three gameweeks, so a player who has just been dropped stops looking like a starter.