🎯

Fixture360 only lists fixtures from a curated set of leagues, chosen specifically to keep our prediction model accurate.

📋

Poisson rates Baník Ostrava at 56% — current form provides partial corroboration, though signals are mixed in this Dukla Praha vs Baník Ostrava encounter.

✍️ Match Preview

Analysis

Baník Ostrava make the trip to Stadion Juliska to face Dukla Praha in Czech Liga, Regular Season - 29. The match kicks off on Saturday 12 April 2025 at 18:00 UTC.

Form & Momentum

Dukla Praha have collected 1.20 PPG across 10 Czech Liga outings this season: 2W 6D 2L. Last five: D D W D W. They are averaging 0.60 goals per game and conceding 0.70 — a modest attacking output that tempers optimism on the Over 2.5 market. Defensively, conceding just 0.70 per game is an exceptional defensive record — one of the tightest in the division. 6 clean sheets from 10 games (60%) is a standout defensive return — they are keeping their net clean in more than half their matches.

Dukla Praha's home record at Stadion Juliska: 1W 4D 5L from 10 Czech Liga appearances (0.70 PPG). At home they are averaging 0.80 goals scored and 1.50 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. Somewhat surprisingly, their home PPG of 0.70 lags behind their overall 1.20 — the home advantage has not translated into superior results at Stadion Juliska this season.

Baník Ostrava (all games): 8W 1D 1L across 10 Czech Liga outings this term — 2.50 points per game. Last five: W W W W D. Their attacking form is sharp — 2.00 goals per game is a high-output rate that commands respect in the goals markets. Defensively, 0.60 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.

On the road, Baník Ostrava have gone 7W 1D 2L from 10 away fixtures this term (2.20 PPG). Away from home they average 1.70 goals scored and 0.90 conceded per game. 5 away clean sheets from 10 games (50%) — they are as difficult to score against on the road as they are at home.

The travelling side arrive in better shape. Baník Ostrava are 1.30 PPG clear of Dukla Praha in recent Czech Liga fixtures (2.50 vs 1.20). Backing the visitors outright or on Draw No Bet are both valid approaches where the price allows.

H2H History

The head-to-head record is closely matched — Dukla Praha lead 0W to 1W over the last 1 encounters, with 0 draws, though neither side has established a commanding advantage.

These two sides have produced goals at a consistent rate historically, averaging 6.0 per game across 1 meetings. That scoring profile provides genuine support for the Over 2.5 angle. The most recent clash, on 9 Nov 2024, ended 0–6 with Baník Ostrava winning.

With the win record balanced, the strongest H2H-derived signal is in the goals market. At 6.0 goals per game historically, Over 2.5 is the cleaner angle to extract from the head-to-head data.

Trading

Dukla Praha half-time and goal-timing data (28 games, 14 at home): they score before half-time in 64% of fixtures in home games; when goalless at HT, a second-half goal follows 54% of the time; BTTS occurs in 57% of their matches (home games); Over 2.5 goals lands in 50% of games (home games); they fail to score in 39% of games.

Baník Ostrava half-time and goal-timing data (28 games, 14 at away): they score before half-time in 71% of fixtures in away games; when goalless at HT, a second-half goal follows 75% of the time; BTTS occurs in 43% of their matches (away games); Over 2.5 goals lands in 50% of games (away games); Over 3.5 in 36%; they keep a clean sheet 43% of the time.

BTTS rates are mixed from the trading data — Dukla Praha 46% versus Baník Ostrava 46%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Dukla Praha 43% | Baník Ostrava 50%).

Poisson Model

The Poisson distribution model projects Dukla Praha 0.63 xG and Baník Ostrava 1.43 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: Dukla Praha attack 0.657 / defence 1.027 | Baník Ostrava attack 1.147 / defence 0.707. League average goals — home 1.354 / away 1.212. Dukla Praha's attack strength of 0.657 is below the league average — the 0.63 xG projection reflects a team that scores at a discount to the division norm. Baník Ostrava's defence strength of 0.707 is below average — they are conceding at a rate that inflates the home xG figure. Data: 28 Dukla Praha games / 58 Baník Ostrava games used (CurrentSeason).

Result probabilities: Dukla Praha 16% | Draw 29% | Baník Ostrava 56%. Fair-value odds: Dukla Praha 6.25 | Draw 3.45 | Baník Ostrava 1.79. The model has a clear lean to Baník Ostrava (56%) — a 40pp gap over the next-most-likely outcome reflects a meaningful statistical advantage.

Goals markets: Over 2.5 probability 34% | BTTS probability 36% | Total xG 2.06. Under 2.5 is the strongly backed market at 66% probability — total xG of 2.06 sits well below the 2.5 threshold. The model is projecting a tight, low-scoring match based on both sides' defensive quality. BTTS probability of 36% is moderate — neither team is projected to score with enough certainty to make Yes a clear standalone call.

Verdict

The Poisson model's primary lean is Baník Ostrava at 56% — clear model lean. Current-season form corroborates the Poisson lean — partial multi-source support. Draw No Bet is worth pricing alongside the outright: 29% draw probability makes the stalemate a live outcome even at this conviction level.

The Poisson model projects 2.06 xG in total — Under 2.5 at 34% — Poisson-only — limited corroboration confidence.

Poisson assigns a 36% probability to BTTS No based on the attack/defence strength model. Form rates are neutral: Dukla Praha 70% | Baník Ostrava 40%.

🔮 Your Prediction

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

💡 Key Insights