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Poisson model rates Jagiellonia at 41%, yet other data sources diverge — this Jagiellonia vs Raków Częstochowa fixture contains genuine analytical tension.

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Analysis & Preview

A Ekstraklasa encounter, Regular Season - 23 sees Raków Częstochowa travel to Chorten Arena to take on Jagiellonia. The game is scheduled for Saturday 27 February 2027, 17:00 UTC.

Form Analysis

Looking at all fixtures this season, Jagiellonia stand at 5W 3D 2L from 10 Ekstraklasa matches — 1.80 PPG. Last five: L W W D W. Offensively they are averaging 1.60 goals per game, with 1.00 conceded. 4 clean sheets in 10 games (40%) reflects a solid defensive base. Both teams have scored in 60% of their games — a high BTTS rate that carries real weight in the goals markets. Jagiellonia haven't played a Ekstraklasa game yet this season, so this record is entirely from last season.

Jagiellonia's home record at Chorten Arena: 4W 3D 3L from 10 Ekstraklasa appearances (1.50 PPG). At home they are averaging 1.60 goals scored and 1.30 conceded per game. Both teams have scored in 80% of their home games — an outstanding BTTS rate that is a key data point for this fixture.

Across all Ekstraklasa games this season, Raków Częstochowa have recorded 5W 3D 2L from 10 outings — 1.80 PPG. Last five: W W L W W. They are scoring at 1.80 per game and conceding 1.10. 2 clean sheets 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. Raków Częstochowa haven't played a Ekstraklasa game yet this season, so this record is entirely from last season.

When travelling in Ekstraklasa this season, Raków Częstochowa have posted 4W 3D 3L from 10 away outings — 1.50 PPG. They are averaging 2.00 goals per away game — strong road scoring that makes them a threat even without home support. Both teams have scored in 90% of their away matches — a high BTTS rate on the road that directly informs this fixture.

The form comparison is too close to call — 1.80 PPG (Jagiellonia) versus 1.80 (Raków Częstochowa). When the figures are this level, no pick can be reliably derived from recent results alone.

Both teams score in over 80% of each side's relevant games (using home/away splits). At that combined rate, BTTS Yes is as well-evidenced as it gets — the data strongly backs two-way scoring.

H2H Record

The H2H landscape is flat: 10 previous encounters have yielded 4 wins for Jagiellonia, 4 for Raków Częstochowa and 2 draws. A neutral reading in isolation.

The 10 previous encounters between these sides have been high-scoring affairs — 3.6 goals per contest on average. Historical precedent backs the Over 2.5 goals market. The most recent clash, on 13 May 2026, ended 2–0 with Jagiellonia winning.

With the win record balanced, the strongest H2H-derived signal is in the goals market. At 3.6 goals per game historically, Over 2.5 is the cleaner angle to extract from the head-to-head data.

In-Play Profile

Jagiellonia in-play tendencies (34 games, 17 at home): they score before half-time in 82% of fixtures in home games; when goalless at HT, a second-half goal follows 50% of the time; BTTS occurs in 71% of their matches (home games); Over 2.5 goals lands in 76% of games (home games).

Raków Częstochowa in-play tendencies (34 games, 17 at away): they score before half-time in 65% of fixtures in away games; when goalless at HT, a second-half goal follows 82% of the time; BTTS occurs in 71% of their matches (away games); Over 2.5 goals lands in 59% of games (away games).

From a combined perspective, both sides have high BTTS rates — Jagiellonia 65% and Raków Częstochowa 56% — which reinforces the BTTS Yes angle from in-play data. The over/under 2.5 picture is inconclusive from the in-play data (Jagiellonia 65% | Raków Częstochowa 47%).

Poisson Model

The Poisson distribution model projects Jagiellonia 1.56 xG and Raków Częstochowa 1.37 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: Jagiellonia attack 1.042 / defence 1.029 | Raków Częstochowa attack 1.146 / defence 0.983. League average goals — home 1.527 / away 1.160. Data: 34 Jagiellonia games / 34 Raków Częstochowa games used (PrevSeason). Note: current-season sample is too small — prior-season data is carrying the calculation. Model confidence is reduced; treat probabilities as directional rather than precise.

Result probabilities: Jagiellonia 41% | Draw 26% | Raków Częstochowa 32%. Fair-value odds: Jagiellonia 2.44 | Draw 3.85 | Raków Częstochowa 3.12. This is a low-confidence result — no outcome exceeds 45%. The draw at 26% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 56% | BTTS probability 60% | Total xG 2.93. Over 2.5 holds a meaningful probability edge at 56% — the 2.93 total xG provides moderate support, though the model is not projecting a high-scoring game. BTTS Yes at 60% reflects that both xG figures (1.56 / 1.37) are above the threshold where scoring blanks become the primary outcome — both sides are projected to find the net.

Summary & Verdict

The Poisson model's primary lean is Jagiellonia at 41% — marginal model lean. With a 26% draw probability, Draw No Bet on Jagiellonia offers a more defensible entry point than the straight win. The opposing side holds a 32% win probability per the model — this is not a banker and should be staked accordingly.

Poisson projects 2.93 total expected goals, pointing to Over 2.5 at 56% probability — strong conviction, supported by form averaging 3.2 goals per game and H2H averaging 3.6 goals per meeting.

The Poisson model's BTTS call is Yes at 60%. Form rates corroborate: Jagiellonia 80% | Raków Częstochowa 90% BTTS from recent games.

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. The Poisson model is drawing on PrevSeason data (34 games minimum) — early-season projections carry additional uncertainty. Weight the live form and odds signals accordingly.

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