West Brom vs Charlton Prediction, Tips & Odds
West Brom vs Charlton
Match Preview
The model favours West Brom to win against Charlton, projecting a scoreline of 2-1. West Brom is currently positioned 7th in the Championship, having started the season with a win that reflects their strong form. With five consecutive victories leading into this match, they have demonstrated consistent scoring ability, netting two goals while conceding just one in their opening game. Charlton, on the other hand, sits in 5th place, also with a victory in their first match of the season. Their recent form shows some inconsistency, with three wins and two losses in their last five matches. While they have shown they can score, their defensive record may be a concern, particularly against a team like West Brom that is currently in good form. The model gives West Brom a solid win probability based on their recent performances and league standing. However, a potential caveat is that Charlton could exploit any defensive lapses, as they have shown resilience in their own right. The full method used for this prediction is detailed in the "How We Reached This Prediction" section, developed by The Daily Punt Analysis Team, which utilises expected goals and actual results throughout the season.
Betting Predictions
How the model works, and its full prediction record, are set out on our How It Works and Accuracy pages.
West Brom have kept a clean sheet in 39% of matches. Charlton average 1.0 goals per game.
West Brom manage games at home, conceding just 1.04 goals per match. Charlton score 1.03 on the road.
The most likely scoreline per our model at 16.9% probability.
West Brom have been the stronger side, winning 39% of their matches.
Our model projects a 1-0 West Brom win as the most likely scoreline at 16.9% probability. 3 of the top six outcomes feature West Brom clean sheets, in line with their 39% clean-sheet rate this season.
Lines averaged across 5 bookmakers. West Brom are the favourites on the spread, so the larger handicaps pay more if they win comfortably while the smaller lines protect the bet on a narrower result.
Best Betting Odds
West Brom vs Charlton| Bookmaker | 1X2 | O/U 2.5 | BTTS | ||||
|---|---|---|---|---|---|---|---|
| 1 | X | 2 | Over | Under | Yes | No | |
| 1.76 | 3.55 | 4.55 | 2.10 | 1.73 | 1.95 | 1.80 | |
| 1.75 | 3.62 | 4.45 | 2.01 | 1.77 | 1.87 | 1.81 | |
| 1.75 | 3.60 | 4.75 | 2.05 | 1.75 | 1.90 | 1.87 | |
| 1.79 | 3.77 | 4.60 | 2.06 | 1.81 | — | — | |
| 1.76 | 3.11 | 3.88 | 2.06 | 1.76 | — | — | |
| 1.75 | 3.50 | 4.40 | — | — | 1.95 | 1.75 | |
| 1.75 | 3.50 | 4.75 | 2.10 | 1.73 | 1.91 | 1.80 | |
| 1.77 | 3.62 | 4.42 | 2.01 | 1.77 | 1.87 | 1.83 | |
| 1.77 | 3.50 | 4.50 | 1.97 | 1.78 | 1.84 | 1.87 | |
Betano | 1.82 | 3.75 | 4.70 | 2.10 | 1.78 | 1.95 | 1.80 |
Superbet | 1.80 | 3.60 | 4.60 | 2.05 | 1.78 | 1.90 | 1.83 |
BetVictor | 1.75 | 3.60 | 4.75 | 1.97 | 1.72 | 1.90 | 1.80 |
Goals Probability
Avg. bookmaker oddsDouble Chance
Bet covers two outcomesHead to Head
Last 5 Meetings (evenly matched 1-1)The head-to-head record between West Brom and Charlton stands at 1 win for West Brom, 3 draws, and 1 win for Charlton over the last five matches. This record indicates a closely contested rivalry with frequent draws, as three out of the five matches ended level. The scorelines suggest that the encounters have mostly been tight, with no team scoring more than two goals in any match. Charlton's last victory against West Brom was in November 2025, while West Brom's solitary win came in early 2020, highlighting the competitive nature of their meetings.
Championship Standings
| # | Team | P | W | D | L | GF | GA | GD | Pts | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 |  Swansea | 4 | 3 | 1 | 0 | 7 | 1 | 6 | 10 | WWDW |
| 2 | Charlton | 3 | 3 | 0 | 0 | 5 | 2 | 3 | 9 | WWW |
| 3 |  Wolves | 4 | 2 | 1 | 1 | 11 | 8 | 3 | 7 | LWWD |
| 4 |  QPR | 3 | 2 | 1 | 0 | 5 | 2 | 3 | 7 | WDW |
| 5 |  Bristol City | 4 | 2 | 1 | 1 | 7 | 6 | 1 | 7 | WWDL |
| 6 |  Middlesbrough | 3 | 2 | 0 | 1 | 6 | 4 | 2 | 6 | WLW |
| 7 | West Brom | 3 | 2 | 0 | 1 | 6 | 5 | 1 | 6 | LWW |
| 22 |  Wrexham | 3 | 0 | 2 | 1 | 3 | 4 | -1 | 2 | LDD |
| 23 |  Burnley | 3 | 0 | 1 | 2 | 4 | 9 | -5 | 1 | LLD |
| 24 |  Preston | 4 | 0 | 0 | 4 | 3 | 9 | -6 | 0 | LLLL |
Venue Record
Current season at home / on the roadKey Statistics
2026 SeasonWest Brom have won 4 of their last 11 matches at home, drawing 6 and losing 1. Their recent home fixtures include beat West Brom 3-1 and beat West Brom 4-1.
Overall, the wider run reads 11W 10D 7L from the last 28 games (39% win rate). The form line is positive, with more wins than defeats across the sample.
Charlton have won 7 of their last 18 matches on the road, drawing 6 and losing 5. Their recent away fixtures include lost to Tottenham 5-1 and beat West Ham 1-2.
Overall, the wider run reads 12W 7D 10L from the last 29 games (41% win rate). The form line is positive, with more wins than defeats across the sample.
Lineups
Lineups not yet announced
Starting lineups are usually confirmed approximately 1 hour before kick-off.
Unavailable Players
9 playersWest Brom1
Charlton8
Betting Strategy
High-probability picks are the most likely outcomes. Value selections are markets where our model's probability sits above the price implied by the odds. They will not always come in, but the odds are in your favour over time.
Yellow Card Prediction
F. Hallam has averaged 4.0 yellow cards per match across 1 recent fixtures we have data for. Our pick is over 3.5 yellow cards at 1.85.
Corner Prediction
West Brom average 1.5 goals per match at home; Charlton 1.0 on the road. Open, attack-leaning sides tend to produce more corners; tight, low-event games tend to produce fewer. Our pick is under 9.5 corners at 1.80.
Player Stats Bet
West Brom have been the stronger side on attack across the season, winning 39% of their matches and averaging 1.5 goals per game. West Brom player to score at 1.85 looks well supported by the data.
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The Daily Punt Analysis Team
Data-driven football predictions and betting tips
This forecast was built by the The Daily Punt Analysis Team using our in-house statistical model. We feed the model two layers of data for every fixture: each team's recent expected goals (xG and xGA) and their actual goals scored and conceded, split by home and away venue. The numbers run through a Poisson distribution that produces a probability for every possible scoreline, which we then convert into fair odds for the 1X2, correct score, BTTS, and over/under markets.
Before publishing, we cross-check our fair odds against the prices the major bookmakers are offering. Where a bookmaker is paying out more than our model says is mathematically fair, we flag that market as a value bet on this page.
