🎯

Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

📋

Poisson rates AFC Wimbledon at 42% — the H2H record provides partial corroboration, though signals are mixed in this AFC Wimbledon vs Doncaster encounter.

✍️ Match Preview

Analysis & Preview

A League One encounter, Regular Season - 27 sees Doncaster travel to The Cherry Red Records Stadium to take on AFC Wimbledon. The game is scheduled for Saturday 17 January 2026, 15:00 UTC.

Form Guide

AFC Wimbledon — All Games: 1W 3D 6L from 10 League One outings this season, averaging 0.60 points per game. Last five: L D L W L. They are averaging 0.80 goals per game and conceding 1.80 — 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 AFC Wimbledon, so this record blends games from this season and last.

AFC Wimbledon's form when playing at home: 3W 3D 4L across 10 games at The Cherry Red Records Stadium this term (1.20 PPG). At home they are averaging 0.80 goals scored and 0.80 conceded per game. Their home PPG of 1.20 is noticeably stronger than their overall 0.60 — AFC Wimbledon are significantly better at The Cherry Red Records Stadium than their overall form suggests.

Across all League One games this season, Doncaster have recorded 1W 2D 7L from 10 outings — 0.50 PPG. Last five: L L L L D. Their scoring rate of 1.10 per game is modest, conceding 2.20 — not a side to back heavily on the Over 2.5 from their form alone. Conceding 2.20 per game is a high rate — their defensive vulnerabilities have been exposed regularly this season. 1 clean sheet from 10 outings suggests some defensive organisation. Both teams have scored in 70% of their games — a noteworthy BTTS rate that supports the Yes market. This season is still relatively young for Doncaster, so this record blends games from this season and last.

On the road, Doncaster have gone 1W 2D 7L from 10 away fixtures this term (0.50 PPG). Away from home they average 0.80 goals scored and 2.00 conceded per game.

The form figures are too closely matched to derive a directional pick: AFC Wimbledon 0.60 PPG, Doncaster 0.50 PPG. Look to other data sets to build the analysis.

H2H

The rivalry is an even one: 4 wins apiece for AFC Wimbledon, 2 for Doncaster and 3 shared spoils from 9 past contests. Neither side holds a meaningful historical edge.

The 9 previous meetings have averaged 2.6 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 20 Sep 2025, ended 2–1 with AFC Wimbledon winning.

The head-to-head offers no strong directional steer in either the result or goals markets. Form, the predictive model and current market pricing should carry more weight than the historical record for this fixture.

Trading Patterns

AFC Wimbledon in-play and half-time data (70 games, 35 at home): they score before half-time in 51% of fixtures in home games; when goalless at HT, a second-half goal follows 78% of the time; BTTS occurs in 26% of their matches (home games); Over 2.5 goals lands in 31% of games (home games); they keep a clean sheet 40% of the time; they fail to score in 34% of games.

Doncaster in-play and half-time data (70 games, 35 at away): they score before half-time in 71% of fixtures in away games; when goalless at HT, a second-half goal follows 90% of the time; two or more arrive in the second half on 68% of those occasions; BTTS occurs in 51% of their matches (away games); Over 2.5 goals lands in 49% of games (away games).

BTTS rates are mixed from the trading data — AFC Wimbledon 36% versus Doncaster 59%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (AFC Wimbledon 37% | Doncaster 53%).

Poisson Model

The Poisson distribution model projects AFC Wimbledon 1.15 xG and Doncaster 0.89 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: AFC Wimbledon attack 0.629 / defence 0.947 | Doncaster attack 0.848 / defence 1.348. League average goals — home 1.358 / away 1.102. AFC Wimbledon's attack strength of 0.629 is below the league average — the 1.15 xG projection reflects a team that scores at a discount to the division norm. Doncaster bring a strong defensive rating of 1.348 — this is suppressing AFC Wimbledon's projected output below what their attack strength alone would suggest. Data: 24 AFC Wimbledon games / 24 Doncaster games used (CurrentSeason).

Result probabilities: AFC Wimbledon 42% | Draw 30% | Doncaster 28%. Fair-value odds: AFC Wimbledon 2.38 | Draw 3.33 | Doncaster 3.57. This is a low-confidence result — no outcome exceeds 45%. The draw at 30% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 33% | BTTS probability 40% | Total xG 2.04. Under 2.5 is the strongly backed market at 67% probability — total xG of 2.04 sits well below the 2.5 threshold. The model is projecting a tight, low-scoring match based on both sides' defensive quality. BTTS probability of 40% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Analysis Verdict

On the Poisson output, AFC Wimbledon are the pick at 42% — marginal model lean. With a 30% draw probability, Draw No Bet on AFC Wimbledon offers a more defensible entry point than the straight win. The opposing side holds a 28% win probability per the model — this is not a banker and should be staked accordingly.

On the goals line, Poisson's 2.04 combined xG gives a 33% probability to Under 2.5 — reasonable, supported by form averaging 2.2 goals per game.

Poisson assigns a 40% probability to BTTS No based on the attack/defence strength model. Form rates corroborate: AFC Wimbledon 40% | Doncaster 40% BTTS from recent games.

🔮 Your Prediction

Sign in to submit your prediction and see how it compares to the rest of the community.

💡 Key Insights