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Poisson model rates Larisa at 38%, yet other data sources diverge — this Larisa vs Volos NFC fixture contains genuine analytical tension.

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Analysis & Preview

A Super League 1 encounter, Regular Season - 6 sees Volos NFC travel to AEL FC Arena to take on Larisa. The game is scheduled for Saturday 4 October 2025, 18:30 UTC.

Form Analysis

Looking at all fixtures this season, Larisa stand at 0W 4D 1L from 5 Super League 1 matches — 0.80 PPG. Last five: L D D D D. They are averaging 1.00 goals per game and conceding 1.20 — a modest attacking output that tempers optimism on the Over 2.5 market. Both teams have scored in 80% of their matches — an extremely high rate that makes BTTS Yes a well-supported standalone angle from their form alone. Larisa have played only a handful of Super League 1 games so far this season, so this record also draws on matches from last season.

Volos NFC — All Games: 4W 0D 6L from 10 Super League 1 fixtures this season — 1.20 PPG. Last five: L L W W L. Their scoring rate of 1.20 per game is modest, conceding 1.50 — 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 just 30% of their games, reflecting a regular tendency to keep or record clean sheets. Volos NFC have played only a handful of Super League 1 games so far this season, so this record also draws on matches from last season.

When travelling in Super League 1 this season, Volos NFC have posted 3W 1D 6L from 10 away outings — 1.00 PPG. Away from home they average 1.20 goals scored and 1.50 conceded per game.

The form figures are too closely matched to derive a directional pick: Larisa 0.80 PPG, Volos NFC 1.20 PPG. Look to other data sets to build the analysis.

In-Play Data

Larisa trading profile (5 games): they score before half-time in 40% of fixtures; when goalless at HT, a second-half goal follows 100% of the time; two or more arrive in the second half on 67% of those occasions; when trailing at the break they recover to draw or win in 40% of cases; BTTS occurs in 80% of their matches; Over 2.5 goals lands in 20% of games.

Volos NFC trading profile (5 games): they score before half-time in 40% of fixtures; when goalless at HT, a second-half goal follows 100% of the time; two or more arrive in the second half on 67% of those occasions; BTTS occurs in 40% of their matches; Over 2.5 goals lands in 40% of games; they fail to score in 60% of games.

From a combined perspective, both sides have high BTTS rates — Larisa 80% and Volos NFC 40% — which reinforces the BTTS Yes angle from in-play data. Under 2.5 goals has backing from the in-play data — both teams register low Over 2.5 rates (Larisa 20% | Volos NFC 40%).

Poisson Model

The Poisson distribution model projects Larisa 1.18 xG and Volos NFC 1.04 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: Larisa attack 0.840 / defence 1.058 | Volos NFC attack 0.859 / defence 1.033. League average goals — home 1.357 / away 1.144. Data: 5 Larisa games / 31 Volos NFC games used (CurrentSeason).

Result probabilities: Larisa 38% | Draw 30% | Volos NFC 31%. Fair-value odds: Larisa 2.63 | Draw 3.33 | Volos NFC 3.23. 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 38% | BTTS probability 45% | Total xG 2.22. Under 2.5 has a narrow probability edge at 62% — total xG of 2.22 is below the line but not decisively so. BTTS probability of 45% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Our Verdict

Poisson rates Larisa as the most likely outcome at 38% — marginal model lean. With a 30% draw probability, Draw No Bet on Larisa offers a more defensible entry point than the straight win. The opposing side holds a 31% win probability per the model — this is not a banker and should be staked accordingly.

On the goals line, Poisson's 2.22 combined xG gives a 38% probability to Under 2.5 — Poisson-only — limited corroboration.

Poisson assigns a 45% probability to BTTS No based on the attack/defence strength model. This conflicts with form data: Larisa 80% | Volos NFC 50% from recent games — a notable divergence.

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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