Panetolikos vs Olympiakos Piraeus – Pre-Match Analysis

Poisson model projects a closely fought contest — draw probability sits at 35% as Panetolikos take on Olympiakos Piraeus.

✍️ Match Preview

Analysis

Olympiakos Piraeus make the trip to Panetolikos Stadium to face Panetolikos in Super League 1, Regular Season - 7. The match kicks off on Sunday 18 October 2026 at 14:00 UTC.

Current Form

Panetolikos's overall Super League 1 record this term: 4W 2D 4L from 10 games (1.40 PPG). Last five: W W L L L. They are averaging 1.30 goals per game and conceding 1.40 — a modest attacking output that tempers optimism on the Over 2.5 market. 2 clean sheets from 10 outings provides some defensive foundation. Both teams have scored in 60% of their games — a high BTTS rate that carries real weight in the goals markets. Panetolikos have played only a handful of Super League 1 games so far this season, so this record also draws on matches from last season.

Panetolikos's form when playing at home: 3W 3D 4L across 10 games at Panetolikos Stadium this term (1.20 PPG). At home they are averaging 1.30 goals scored and 1.30 conceded per game. Both teams have scored in 70% of their home games — an outstanding BTTS rate that is a key data point for this fixture.

Olympiakos Piraeus (all games): 5W 3D 2L across 10 Super League 1 outings this term — 1.80 points per game. Last five: W D L W W. Their scoring rate of 0.90 per game is modest, conceding 0.70 — not a side to back heavily on the Over 2.5 from their form alone. 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. Olympiakos Piraeus have played only a handful of Super League 1 games so far this season, so this record also draws on matches from last season.

Olympiakos Piraeus away from home this season: 6W 3D 1L from 10 away games — 2.10 PPG on the road. Away from home they average 1.50 goals scored and 0.60 conceded per game. 6 away clean sheets from 10 games (60%) — they are as difficult to score against on the road as they are at home.

Both sides are running at similar form levels — 1.40 PPG for Panetolikos against 1.80 for Olympiakos Piraeus. There is no clear form edge to exploit here; other signals need to take the lead.

H2H Analysis

Across the last 10 meetings, Olympiakos Piraeus have the stronger historical record — 9 wins to Panetolikos's 0, with 1 draws in the mix.

Attacking output has been a hallmark of this fixture. At 2.8 goals per game across 10 meetings, the Over 2.5 has a statistically grounded case from the head-to-head record alone. The most recent clash, on 21 Feb 2026, ended 0–2 with Olympiakos Piraeus winning.

The H2H provides genuine backing for the away side. Olympiakos Piraeus have won 9 of 10 previous encounters, and at 2.8 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 (38 games, 19 at home): they score before half-time in 68% of fixtures in home games; when goalless at HT, a second-half goal follows 73% of the time; BTTS occurs in 58% of their matches (home games); Over 2.5 goals lands in 63% of games (home games); they fail to score in 42% of games.

Olympiakos Piraeus goal-timing and half-time pattern breakdown (38 games, 19 at away): they score before half-time in 58% of fixtures in away games; when goalless at HT, a second-half goal follows 75% of the time; two or more arrive in the second half on 50% of those occasions; they lead at the break 47% of the time; BTTS occurs in 42% of their matches (away games); Over 2.5 goals lands in 32% of games (away games); they keep a clean sheet 60% of the time.

BTTS rates are mixed from the trading data — Panetolikos 47% versus Olympiakos Piraeus 32%; 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 47% | Olympiakos Piraeus 29%).

Poisson Model

The Poisson distribution model projects Panetolikos 1.14 xG and Olympiakos Piraeus 1.11 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 1.087 / defence 1.106 | Olympiakos Piraeus attack 1.025 / defence 0.732. League average goals — home 1.439 / away 0.976. Olympiakos Piraeus's defence strength of 0.732 is below average — they are conceding at a rate that inflates the home xG figure. Data: 32 Panetolikos games / 32 Olympiakos Piraeus games used (CurrentSeason).

Result probabilities: Panetolikos 33% | Draw 35% | Olympiakos Piraeus 32%. Fair-value odds: Panetolikos 3.03 | Draw 2.86 | Olympiakos Piraeus 3.12. The draw (35%) is the Poisson-preferred outcome — neither side is more likely to win than to draw, making draw-inclusive markets the most model-aligned approach.

Goals markets: Over 2.5 probability 39% | BTTS probability 49% | Total xG 2.25. Under 2.5 has a narrow probability edge at 61% — total xG of 2.25 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.

Picks & Verdict

The Poisson model's preferred outcome is the draw at 35% — neither side is more likely to win than to draw. Draw-inclusive markets are the most model-aligned approach. Home win at 33% and away win at 32% are close enough that backing either outright carries significant draw exposure.

The Poisson model projects 2.25 xG in total — Under 2.5 at 39% — Poisson-only — limited corroboration confidence — though H2H averaging only 2.8 goals per meeting points in the other direction.

Poisson assigns a 49% probability to BTTS No based on the attack/defence strength model. Form rates are neutral: Panetolikos 70% | Olympiakos Piraeus 40%.

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.

🔮 Your Prediction

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

💡 Key Insights