Huddersfield vs Fulham — Premier League 2026
Match Prediction
Statistical Prediction
Based on goals from last 29+ matches
Huddersfield33%
Fulham39%✓ Correct in 50 of 100 matches — 5 more than always backing the home side
The model picks a winner (home or away) for each finished match using only pre-kickoff data, then checks it against the real result: 50.2% correct across 585,598 matches, vs 44.5% for always backing the home side.
Home picks 50.5% correct · Away picks 49.3% correct
Football matches only. Past performance is not indicative of future results.
Expected goals in this match
What is xG?
Every shot is scored 0–1 by how likely it is to be a goal from that spot — a chance in the middle of the box ≈ 0.4, a long shot from a tight angle ≈ 0.03, a penalty ≈ 0.76. Add them up over a match and that is the xG.
The scoreline can lie: you can win 1-0 on a fluke while creating half the chances. xG shows who was really closer to scoring — and over a season it predicts results better than goals alone.
Fulham creates 11% more chances
Season form · 29 home / 86 away
creates per match
allows per match
finishing
Total goals
- Under61
- Over39
Fewer than 3 goals likely
Both teams score
- No54
- Yes46
One side may not score
Score probability
Probability of each scoreline, %
Huddersfield ↓
Most likely 1–1 (13%) · grid covers 99% of scorelines
More markets
Total goals
Double chance
Winning margin
Team goals
Draw no bet
Combos
Model probabilities, not odds. For information only.
How is this calculated?
Every number below comes from this match — nothing is made up.
Recent form of each side
Huddersfield at home — creates 0.66, concedes 1.41 · 29 matches
Fulham away — creates 0.97, concedes 1.49 · 86 matches
⚑ Home and away form are counted separately — the home-field edge is already baked into these numbers.
Expected goals for this match
Huddersfield attack 0.66 + Fulham defence 1.49 → ÷2 → 1.07
Fulham attack 0.97 + Huddersfield defence 1.41 → ÷2 → 1.19
Each side's attack is blended with the other's defence, then averaged.
Chance of every scoreline
From those two numbers a Poisson distribution gives the probability of each exact score — the grid shown above.
The answer to "why 39%?"
Fulham at 39% is simply the biggest of the three — that is the pick.
What the model can't see
It reads only the stats of recent matches. It knows nothing about:
- injuries & suspensions
- the matchday lineup
- motivation — cup, relegation, a title race
- weather & pitch condition
- in-game coaching decisions
So 39% does not mean "Fulham will win" — it means "on the available stats, this is the most likely result."
Statistical model based on expected goals (xG). For informational purposes only.
Player of the match
Match Events
Head to Head
5 previous meetings
Arsenal
Manchester City
Manchester United
Aston Villa
Liverpool
Bournemouth
Sunderland
Brighton
Brentford
ChelseaFulham
Newcastle
Everton
Leeds
Crystal Palace
Nottingham Forest
Tottenham
West Ham
Burnley
WolvesIf points are equal: 1. Goal difference 2. Goals scored 3. Head-to-head
P = Played · W = Won · D = Drawn · L = Lost · GF = Goals for · GA = Goals against · GD = Goal difference · Pts = Points
Possession
Shots
Pass accuracy
Statistics
Huddersfield host Fulham on Monday, 5 November 2018 at 20:00. The match is part of the Premier League 2026/2027 season.
Premier League: Huddersfield 1–0 Fulham
Huddersfield beat Fulham 1-0 in Premier League on November 5, 2018.
Goals: T. Fosu-Mensah (29' o.g.).
Fulham controlled possession (55%) and registered 8 shots to 10.
The match was played at John Smith's Stadium in Huddersfield.