Match Prediction
Statistical Prediction
Based on goals from last 31+ matches
Charlton49%
Walsall26%✓ 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.
Charlton creates 48% more chances
Season form · 144 home / 31 away
creates per match
allows per match
finishing
Total goals
- Under52
- Over48
Close call
Both teams score
- Yes51
- No49
Close call
Score probability
Probability of each scoreline, %
Charlton ↓
Most likely 1–0 (12%) · 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
Charlton at home — creates 1.65, concedes 1.13 · 144 matches
Walsall away — creates 0.97, concedes 1.45 · 31 matches
⚑ Home and away form are counted separately — the home-field edge is already baked into these numbers.
Expected goals for this match
Charlton attack 1.65 + Walsall defence 1.45 → ÷2 → 1.55
Walsall attack 0.97 + Charlton defence 1.13 → ÷2 → 1.05
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%?"
Charlton 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 "Charlton 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.
Match Events
Head to Head
2 previous meetings · small sample
Lincoln
Cardiff
Bolton
Stockport County
Bradford
Stevenage
Luton
Plymouth
Huddersfield
Mansfield Town
Wycombe
Reading
Blackpool
Doncaster
Barnsley
Wigan
Burton Albion
Peterborough
AFC Wimbledon
Leyton Orient
Exeter City
Port Vale
Rotherham
NorthamptonIf 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
Charlton host Walsall on Tuesday, 1 January 2019 at 15:00. The match is part of the League One 2018/2019 season.
Match Recap: Charlton vs Walsall
Charlton beat Walsall 2-1 in League One on January 1, 2019.
Goals: K. Ahearne-Grant (6'), L. Taylor (9' pen), A. Cook (47').
The match was played at The Valley in London.