Charlton vs Burnley – Pre-Match Analysis

Poisson model rates Charlton at 41%, yet other data sources diverge — this Charlton vs Burnley fixture contains genuine analytical tension.

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Fixture Analysis

It is a Championship clash, Regular Season - 32 as Charlton welcome Burnley to The Valley. Kick-off is set for Tuesday 16 February 2027 at 19:45 UTC.

Recent Form

Across all Championship games this season, Charlton have gone 0W 4D 6L from 10 outings — a 0.40 PPG return. Last five: D L L L L. They are averaging 0.50 goals per game and conceding 1.90 — a modest attacking output that tempers optimism on the Over 2.5 market. 2 clean sheets from 10 outings provides some defensive foundation. This season is still relatively young for Charlton, so this record blends games from this season and last.

In front of their own supporters this season, Charlton have posted 3W 3D 4L at The Valley — 1.20 PPG. At home they are averaging 0.90 goals scored and 1.10 conceded per game. BTTS has landed in 60% of their home matches — a rate that supports the Yes angle in this fixture. Their home PPG of 1.20 is noticeably stronger than their overall 0.40 — Charlton are significantly better at The Valley than their overall form suggests.

Looking at all fixtures this season, Burnley stand at 1W 5D 4L from 10 Championship matches — 0.80 PPG. Last five: D L L D D. Their scoring rate of 1.30 per game is modest, conceding 1.60 — not a side to back heavily on the Over 2.5 from their form alone. 2 clean sheets from 10 outings suggests some defensive organisation. Both teams have scored in 80% of their matches this season — one of the stronger BTTS rates in the division, making Yes a well-evidenced play. This season is still relatively young for Burnley, so this record blends games from this season and last.

When travelling in Championship this season, Burnley have posted 1W 2D 7L from 10 away outings — 0.50 PPG. Away from home they average 1.20 goals scored and 2.40 conceded per game. Both teams have scored in 80% of their away matches — a high BTTS rate on the road that directly informs this fixture.

The form comparison is too close to call — 0.40 PPG (Charlton) versus 0.80 (Burnley). When the figures are this level, no pick can be reliably derived from recent results alone.

The BTTS market is worth targeting here. Charlton register both teams scoring in 60% of relevant matches, Burnley in 80% (using home/away splits) — both sides above the 60% threshold gives BTTS Yes firm statistical grounding.

H2H Record

There is little to separate the sides historically. From 1 previous meetings, Charlton have won 0, Burnley 0, with 1 draws — a balanced ledger that offers no obvious directional steer on its own.

Goals have been a feature of this fixture. The last 1 meetings have averaged 4.0 per game — a rate that gives the Over 2.5 market a solid historical foundation. The most recent clash, on 13 Oct 2026, ended 2–2 with a draw.

With the win record balanced, the strongest H2H-derived signal is in the goals market. At 4.0 goals per game historically, Over 2.5 is the cleaner angle to extract from the head-to-head data.

Trading Patterns

Charlton in-play and half-time data (52 games, 26 at home): they score before half-time in 62% of fixtures in home games; when goalless at HT, a second-half goal follows 88% of the time; two or more arrive in the second half on 50% of those occasions; BTTS occurs in 54% of their matches (home games); Over 2.5 goals lands in 42% of games (home games).

Burnley in-play and half-time data (52 games, 26 at away): they score before half-time in 88% of fixtures in away games; when goalless at HT, a second-half goal follows 67% of the time; two or more arrive in the second half on 56% of those occasions; BTTS occurs in 77% of their matches (away games); Over 2.5 goals lands in 69% of games (away games); Over 3.5 in 42%.

From a combined perspective, both sides have high BTTS rates — Charlton 56% and Burnley 65% — which reinforces the BTTS Yes angle from in-play data. The over/under 2.5 picture is inconclusive from the in-play data (Charlton 44% | Burnley 54%).

Poisson Model

The Poisson distribution model projects Charlton 1.30 xG and Burnley 1.12 xG. These expected goals figures are the primary input: they feed a goal-probability matrix across all scoreline combinations to derive the result and market probabilities below. Underlying strength ratings: Charlton attack 0.648 / defence 0.879 | Burnley attack 0.989 / defence 1.324. League average goals — home 1.514 / away 1.292. Charlton's attack strength of 0.648 is below the league average — the 1.30 xG projection reflects a team that scores at a discount to the division norm. Burnley bring a strong defensive rating of 1.324 — this is suppressing Charlton's projected output below what their attack strength alone would suggest. Data: 60 Charlton games / 14 Burnley games used (CurrentSeason).

Result probabilities: Charlton 41% | Draw 27% | Burnley 32%. Fair-value odds: Charlton 2.44 | Draw 3.70 | Burnley 3.12. This is a low-confidence result — no outcome exceeds 45%. The draw at 27% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 44% | BTTS probability 49% | Total xG 2.42. Under 2.5 has a narrow probability edge at 56% — total xG of 2.42 is below the line but not decisively so. BTTS probability of 49% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Summary & Verdict

The Poisson model's primary lean is Charlton at 41% — marginal model lean. With a 27% draw probability, Draw No Bet on Charlton offers a more defensible entry point than the straight win. The opposing side holds a 32% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 2.42 xG in total — Under 2.5 at 44% — Poisson-only — limited corroboration confidence.

On the BTTS market, Poisson puts 49% on No. This conflicts with form data: Charlton 60% | Burnley 80% from recent games — a notable divergence.

The outsider holds a 32% win probability per the model — this is not a banker and should not be treated as one. Proportionate stakes are appropriate given the genuine contest the data projects.

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