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Poisson model favours Olympiakos Piraeus (44%) — form and H2H data both point in the same direction as Panetolikos face Olympiakos Piraeus.

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Analysis

Olympiakos Piraeus make the trip to Panetolikos Stadium to face Panetolikos in Super League 1, Regular Season - 12. The match kicks off on Sunday 30 November 2025 at 15:00 UTC.

Current Form

Panetolikos's overall Super League 1 record this term: 3W 3D 4L from 10 games (1.20 PPG). Last five: W D L W D. They are averaging 1.30 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 Panetolikos, so this record blends games from this season and last.

Panetolikos's form when playing at home: 4W 0D 6L across 10 games at Panetolikos Stadium this term (1.20 PPG). At home they are averaging 1.20 goals scored and 1.40 conceded per game.

Olympiakos Piraeus (all games): 8W 1D 1L across 10 Super League 1 outings this term — 2.50 points per game. Last five: W W W W W. Their attacking form is sharp — 2.40 goals per game is a high-output rate that commands respect in the goals markets. Defensively, 0.70 goals conceded per game is elite-level — a side this difficult to score against is a real threat to Over 2.5 and BTTS Yes. 5 clean sheets from 10 games (50%) is an exceptional defensive record — they are keeping clean sheets more often than not. This season is still relatively young for Olympiakos Piraeus, so this record blends games from this season and last.

Olympiakos Piraeus away from home this season: 7W 1D 2L from 10 away games — 2.20 PPG on the road. They are averaging 1.80 goals per away game — strong road scoring that makes them a threat even without home support. 6 away clean sheets from 10 games (60%) — they are as difficult to score against on the road as they are at home.

The travelling side arrive in better shape. Olympiakos Piraeus are 1.30 PPG clear of Panetolikos in recent Super League 1 fixtures (2.50 vs 1.20). Backing the visitors outright or on Draw No Bet are both valid approaches where the price allows.

H2H Analysis

Across the last 8 meetings, Olympiakos Piraeus have the stronger historical record — 7 wins to Panetolikos's 0, with 1 draws in the mix.

Attacking output has been a hallmark of this fixture. At 3.1 goals per game across 8 meetings, the Over 2.5 has a statistically grounded case from the head-to-head record alone. The most recent clash, on 6 Jan 2025, ended 0–2 with Olympiakos Piraeus winning.

The H2H provides genuine backing for the away side. Olympiakos Piraeus have won 7 of 8 previous encounters, and at 3.1 goals per game, the goals market also points upward. The away win and Over 2.5 combination has a historical case worth noting.

Trading Data

Panetolikos goal-timing and half-time pattern breakdown (43 games, 21 at home): they score before half-time in 71% of fixtures in home games; when goalless at HT, a second-half goal follows 67% of the time; BTTS occurs in 33% of their matches (home games); Over 2.5 goals lands in 38% of games (home games); they fail to score in 40% of games.

Olympiakos Piraeus goal-timing and half-time pattern breakdown (43 games, 21 at away): they score before half-time in 62% of fixtures in away 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; they lead at the break 51% of the time; BTTS occurs in 38% of their matches (away games); Over 2.5 goals lands in 38% of games (away games); they keep a clean sheet 51% of the time.

BTTS rates are mixed from the trading data — Panetolikos 37% versus Olympiakos Piraeus 46%; no strong lean in either direction. Under 2.5 goals has backing from the in-play data — both teams register low Over 2.5 rates (Panetolikos 30% | Olympiakos Piraeus 49%).

Poisson Model

The Poisson distribution model projects Panetolikos 1.33 xG and Olympiakos Piraeus 1.61 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: Panetolikos attack 1.150 / defence 1.090 | Olympiakos Piraeus attack 1.226 / defence 0.799. League average goals — home 1.451 / away 1.207. Olympiakos Piraeus's defence strength of 0.799 is below average — they are conceding at a rate that inflates the home xG figure. Olympiakos Piraeus have an above-average attack strength of 1.226 — the away xG of 1.61 is driven by genuine attacking quality on the road. Data: 37 Panetolikos games / 37 Olympiakos Piraeus games used (CurrentSeason).

Result probabilities: Panetolikos 32% | Draw 24% | Olympiakos Piraeus 44%. Fair-value odds: Panetolikos 3.12 | Draw 4.17 | Olympiakos Piraeus 2.27. This is a low-confidence result — no outcome exceeds 45%. The draw at 24% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 56% | BTTS probability 59% | Total xG 2.95. Over 2.5 holds a meaningful probability edge at 56% — the 2.95 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS probability of 59% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Picks & Verdict

On the Poisson output, Olympiakos Piraeus are the pick at 44% — marginal 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 Olympiakos Piraeus if the outright odds are short. 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 2.95 xG in total — Over 2.5 at 56% — reasonable confidence, supported by H2H averaging 3.1 goals per meeting.

Poisson assigns a 59% probability to BTTS Yes based on the attack/defence strength model. This conflicts with form data: Panetolikos 40% | Olympiakos Piraeus 40% 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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