West Brom vs Oxford United — Championship 2025
Match Prediction
Statistical Prediction
Based on xG from last 12+ matches
West Brom49%
Oxford United25%✓ 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.
West Brom creates 54% more chances
Season form · 30 home / 12 away
creates per match
allows per match
finishing
Total goals
- Under56
- Over44
Fewer than 3 goals likely
Both teams score
- No52
- Yes48
Close call
Score probability
Probability of each scoreline, %
West Brom ↓
Most likely 1–0 (13%) · grid covers 98% 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 1.34, concedes 0.83 · 30 matches
Oxford United away — creates 1.09, concedes 1.63 · 12 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 1.34 + Oxford United defence 1.63 → ÷2 → 1.48
Oxford United attack 1.09 + West Brom defence 0.83 → ÷2 → 0.96
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 49%?"
West Brom at 49% 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 49% does not mean "West Brom 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
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Millwall
Southampton
Middlesbrough
Hull City
Wrexham
Derby
Norwich
Birmingham
Swansea
Bristol City
Sheffield Utd
Preston
QPR
Watford
Stoke City
PortsmouthWest Brom
Charlton
Leicester
BlackburnOxford United
Sheffield WednesdayIf 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 Oxford United on Saturday, 22 February 2025 at 15:00. The match is part of the Championship 2025/2026 season.
Championship: West Brom 2–0 Oxford United
West Brom beat Oxford United 2-0 in Championship on February 22, 2025.
Goals: A. Mowatt (11'), J. Swift 1 (90+11').
West Brom controlled possession (60%) and registered 22 shots to 5.
The match was played at The Hawthorns in West Bromwich.