West Brom vs Chelsea — Premier League 2026
Match Prediction
Statistical Prediction
Based on goals from last 94+ matches
West Brom30%
Chelsea45%✓ Correct in 49 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: 48.6% correct across 15,072 matches, vs 43.8% for always backing the home side.
Home picks 50.1% correct · Away picks 45.3% 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.
Chelsea creates 27% more chances
Season form · 94 home / 200 away
creates per match
allows per match
finishing
Total goals
- Over52
- Under48
Close call
Both teams score
- Yes55
- No45
Both teams likely to score
Score probability
Probability of each scoreline, %
West Brom ↓
Most likely 1–1 (12%) · grid covers 97% 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
West Brom at home — creates 1.15, concedes 1.50 · 94 matches
Chelsea away — creates 1.59, concedes 1.26 · 200 matches
⚑ Home and away form are counted separately — the home-field edge is already baked into these numbers.
Expected goals for this match
West Brom attack 1.15 + Chelsea defence 1.26 → ÷2 → 1.21
Chelsea attack 1.59 + West Brom defence 1.50 → ÷2 → 1.54
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 45%?"
Chelsea at 45% 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 45% does not mean "Chelsea 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
Arsenal
Aston Villa
Bournemouth
Brentford
BrightonChelsea
Coventry
Crystal Palace
Everton
Fulham
Hull City
Ipswich
Leeds
Liverpool
Manchester City
Manchester United
Newcastle
Nottingham Forest
Sunderland
TottenhamIf 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
West Brom host Chelsea on Sunday, 23 August 2015 at 12:30. The match is part of the Premier League 2026/2027 season.
Premier League: West Brom 2–3 Chelsea
Chelsea beat West Brom 3-2 in Premier League on August 23, 2015.
Goals: Pedro (20'), Diego Costa (30'), J. Morrison (35', 59'), Azpilicueta (42').
Chelsea controlled possession (57%) and registered 15 shots to 15.
The match was played at The Hawthorns in West Bromwich.