Peterborough 3-0 Stockport County – Result & Analysis

Poisson model rates Stockport County at 45%, yet other data sources diverge — this Peterborough vs Stockport County fixture contains genuine analytical tension.

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Full Analysis

Weston Homes Stadium plays host to Peterborough versus Stockport County in League One, Regular Season - 17. Kick-off: Thursday 20 November 2025 at 20:00 UTC.

Current Form

Peterborough's overall League One record this term: 4W 1D 5L from 10 games (1.30 PPG). Last five: L L W L W. They are averaging 1.40 goals per game and conceding 1.50 — a modest attacking output that tempers optimism on the Over 2.5 market. 3 clean sheets from 10 outings provides some defensive foundation. This season is still relatively young for Peterborough, so this record blends games from this season and last.

At home at Weston Homes Stadium, Peterborough have gone 2W 3D 5L this season (10 games, 0.90 PPG). At home they are averaging 1.20 goals scored and 1.40 conceded per game. BTTS has landed in 60% of their home matches — a rate that supports the Yes angle in this fixture.

Stockport County have collected 1.80 PPG across 10 League One outings this season: 5W 3D 2L. Last five: W W W W L. Their scoring rate of 1.30 per game is modest, conceding 1.10 — not a side to back heavily on the Over 2.5 from their form alone. 4 clean sheets in 10 outings (40%) underlines their defensive solidity. This season is still relatively young for Stockport County, so this record blends games from this season and last.

On the road, Stockport County have gone 5W 4D 1L from 10 away fixtures this term (1.90 PPG). They are averaging 1.90 goals per away game — strong road scoring that makes them a threat even without home support. Both teams have scored in 80% of their away matches — a high BTTS rate on the road that directly informs this fixture.

Stockport County arrive in superior form — a 0.50 PPG advantage (1.80 vs 1.30) that offsets much of the home-ground benefit. The away side are the form pick, with draw protection the sensible way to manage the home-field uncertainty.

In terms of goals, both squads have been finding the net consistently (using home/away splits) — Peterborough have seen both teams score in 60% of their games, Stockport County in 80%. That combined rate is a strong statistical case for BTTS Yes as a standalone play.

H2H Analysis

Neither side has dominated this fixture. The last 2 head-to-head meetings have produced 0 wins for Peterborough, 1 for Stockport County and 1 draws — an even split that leaves the H2H largely neutral as a betting input.

The 2 previous meetings have averaged 2.5 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 18 Apr 2025, ended 1–1 with a draw.

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 Data

Peterborough goal-timing and half-time pattern breakdown (60 games, 30 at home): they score before half-time in 83% of fixtures in home games; when goalless at HT, a second-half goal follows 86% of the time; two or more arrive in the second half on 50% of those occasions; BTTS occurs in 60% of their matches (home games); Over 2.5 goals lands in 57% of games (home games).

Stockport County goal-timing and half-time pattern breakdown (60 games, 30 at away): they score before half-time in 87% of fixtures in away games; when goalless at HT, a second-half goal follows 80% of the time; two or more arrive in the second half on 50% of those occasions; BTTS occurs in 60% of their matches (away games); Over 2.5 goals lands in 37% of games (away games).

From a combined perspective, both sides have high BTTS rates — Peterborough 63% and Stockport County 58% — which reinforces the BTTS Yes angle from in-play data. The over/under 2.5 picture is inconclusive from the in-play data (Peterborough 62% | Stockport County 45%).

Poisson Model

The Poisson distribution model projects Peterborough 1.35 xG and Stockport County 1.67 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: Peterborough attack 1.110 / defence 1.187 | Stockport County attack 1.339 / defence 0.911. League average goals — home 1.337 / away 1.050. Stockport County have an above-average attack strength of 1.339 — the away xG of 1.67 is driven by genuine attacking quality on the road. Data: 60 Peterborough games / 61 Stockport County games used (CurrentSeason).

Result probabilities: Peterborough 31% | Draw 24% | Stockport County 45%. Fair-value odds: Peterborough 3.23 | Draw 4.17 | Stockport County 2.22. Stockport County hold a narrow Poisson edge at 45% — the draw (24%) is close enough to merit draw-inclusive market consideration.

Goals markets: Over 2.5 probability 58% | BTTS probability 60% | Total xG 3.02. Over 2.5 holds a meaningful probability edge at 58% — the 3.02 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS Yes at 60% reflects that both xG figures (1.35 / 1.67) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Verdict

The Poisson model's primary lean is Stockport County at 45% — moderate model lean. Current-season form corroborates the Poisson lean — partial multi-source support. Draw probability of 24% warrants consideration of Double Chance or Draw No Bet on Stockport County if the outright odds are short. The opposing side holds a 31% win probability per the model — this is not a banker and should be staked accordingly.

Poisson projects 3.02 total expected goals, pointing to Over 2.5 at 58% probability — reasonable conviction, supported by form averaging 2.9 goals per game.

On the BTTS market, Poisson puts 60% on Yes. Form rates corroborate: Peterborough 60% | Stockport County 80% BTTS from recent games.

The outsider holds a 31% 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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