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Poisson model rates Pogon Szczecin at 36%, yet other data sources diverge — this Pogon Szczecin vs Raków Częstochowa fixture contains genuine analytical tension.

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Fixture Analysis

It is a Ekstraklasa clash, Regular Season - 29 as Pogon Szczecin welcome Raków Częstochowa to Stadion Miejski im. Floriana Krygiera. Kick-off is set for Saturday 19 April 2025 at 19:15 UTC.

Recent Form

Across all Ekstraklasa games this season, Pogon Szczecin have gone 6W 2D 2L from 10 outings — a 2.00 PPG return. Last five: D W D W L. They are averaging 2.10 goals per game — a high-scoring output that makes them a genuine attacking threat in any fixture. 5 clean sheets from 10 games (50%) is a standout defensive return — they are keeping their net clean in more than half their matches.

Pogon Szczecin's form when playing at home: 7W 1D 2L across 10 games at Stadion Miejski im. Floriana Krygiera this term (2.20 PPG). At home they are averaging 1.80 goals scored and 0.80 conceded per game. 5 clean sheets from 10 home games (50%) — they are an exceptionally hard side to score against at Stadion Miejski im. Floriana Krygiera. At home, both teams have scored in only 30% of games — reinforcing BTTS No as the home-venue-backed angle.

Raków Częstochowa — All Games: 7W 2D 1L from 10 Ekstraklasa fixtures this season — 2.30 PPG. Last five: W W W D W. They are scoring at 1.70 per game and conceding 0.70. 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.

When travelling in Ekstraklasa this season, Raków Częstochowa have posted 6W 4D 0L from 10 away outings — 2.20 PPG. Away from home they average 1.50 goals scored and 0.50 conceded per game. 7 away clean sheets from 10 games (70%) — they are as difficult to score against on the road as they are at home. Away from home, both teams have scored in only 30% of games — a low rate that backs BTTS No when they travel.

The form comparison is too close to call — 2.00 PPG (Pogon Szczecin) versus 2.30 (Raków Częstochowa). When the figures are this level, no pick can be reliably derived from recent results alone.

On the goals front, neither side scores or concedes freely enough to make BTTS Yes the call. Pogon Szczecin's 30% rate and Raków Częstochowa's 30% (using home/away splits) both sit well below average — BTTS No is the form-backed angle.

Head to Head

Despite the anticipated home advantage, Raków Częstochowa have the better historical record — 5 wins from 7 previous contests against 0 for Pogon Szczecin.

These sides have historically produced few goals — 1.7 per contest from 7 previous meetings. The Under 2.5 market has a well-supported historical case here. The most recent clash, on 20 Oct 2024, ended 0–1 with Raków Częstochowa winning.

It is worth noting that Raków Częstochowa have a superior record in this fixture despite their visitor status — 5 wins from 7 meetings. Home advantage alone is not a sufficient reason to dismiss that track record.

Trading Patterns

Pogon Szczecin in-play and half-time data (62 games, 31 at home): they score before half-time in 77% of fixtures in home games; when goalless at HT, a second-half goal follows 82% of the time; BTTS occurs in 42% of their matches (home games); Over 2.5 goals lands in 55% of games (home games).

Raków Częstochowa in-play and half-time data (62 games, 31 at away): they score before half-time in 68% of fixtures in away games; when goalless at HT, a second-half goal follows 74% of the time; they lead at the break 45% of the time; BTTS occurs in 52% of their matches (away games); Over 2.5 goals lands in 39% of games (away games); they keep a clean sheet 42% of the time.

BTTS rates are mixed from the trading data — Pogon Szczecin 42% versus Raków Częstochowa 50%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Pogon Szczecin 52% | Raków Częstochowa 42%).

Poisson Model

The Poisson distribution model projects Pogon Szczecin 1.20 xG and Raków Częstochowa 1.20 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: Pogon Szczecin attack 1.355 / defence 0.904 | Raków Częstochowa attack 1.098 / defence 0.602. League average goals — home 1.476 / away 1.210. Pogon Szczecin carry an above-average attack strength of 1.355 — their λ of 1.20 reflects genuine attacking quality above the league norm. Raków Częstochowa's defence strength of 0.602 is below average — they are conceding at a rate that inflates the home xG figure. Data: 62 Pogon Szczecin games / 62 Raków Częstochowa games used (CurrentSeason).

Result probabilities: Pogon Szczecin 36% | Draw 28% | Raków Częstochowa 36%. Fair-value odds: Pogon Szczecin 2.78 | Draw 3.57 | Raków Częstochowa 2.78. The draw (28%) 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 43% | BTTS probability 49% | Total xG 2.40. Under 2.5 has a narrow probability edge at 57% — total xG of 2.40 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.

Our Verdict

The Poisson model's preferred outcome is the draw at 28% — neither side is more likely to win than to draw. Draw-inclusive markets are the most model-aligned approach. Home win at 36% and away win at 36% are close enough that backing either outright carries significant draw exposure.

On the goals line, Poisson's 2.40 combined xG gives a 43% probability to Under 2.5 — reasonable, supported by H2H averaging 1.7 goals per meeting.

Poisson assigns a 49% probability to BTTS No based on the attack/defence strength model. Form rates corroborate: Pogon Szczecin 30% | Raków Częstochowa 30% BTTS from recent games.

The outsider holds a 36% 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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