🎯

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

📋

Poisson model rates Baník Ostrava at 37%, yet other data sources diverge — this Dukla Praha vs Baník Ostrava fixture contains genuine analytical tension.

✍️ Match Preview

Analysis

Baník Ostrava make the trip to Stadion Juliska to face Dukla Praha in Czech Liga, Regular Season - 3. The match kicks off on Sunday 3 August 2025 at 16:30 UTC.

Form & Momentum

Dukla Praha have collected 1.30 PPG across 10 Czech Liga outings this season: 3W 4D 3L. Last five: W D D L D. They are averaging 1.40 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. Both teams have scored in 60% of their games — a high BTTS rate that carries real weight in the goals markets. Dukla Praha have played only a handful of Czech Liga games so far this season, so this record also draws on matches from last season.

Dukla Praha's home record at Stadion Juliska: 2W 4D 4L from 10 Czech Liga appearances (1.00 PPG). At home they are averaging 1.00 goals scored and 1.20 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.

Baník Ostrava (all games): 5W 2D 3L across 10 Czech Liga outings this term — 1.70 points per game. Last five: D W W L L. They are scoring at 1.50 per game and conceding 1.30. 2 clean sheets from 10 outings suggests some defensive organisation. Both teams have scored in 60% of their games — a noteworthy BTTS rate that supports the Yes market. Baník Ostrava have played only a handful of Czech Liga games so far this season, so this record also draws on matches from last season.

On the road, Baník Ostrava have gone 6W 0D 4L from 10 away fixtures this term (1.80 PPG). Away from home they average 1.20 goals scored and 1.00 conceded per game. 4 clean sheets from 10 away games (40%) shows they are capable of shutting up shop on the road. Away from home, both teams have scored in only 30% of games — a low rate that backs BTTS No when they travel.

Both sides are running at similar form levels — 1.30 PPG for Dukla Praha against 1.70 for Baník Ostrava. There is no clear form edge to exploit here; other signals need to take the lead.

H2H History

The head-to-head record is closely matched — Dukla Praha lead 0W to 2W over the last 2 encounters, with 0 draws, though neither side has established a commanding advantage.

These two sides have produced goals at a consistent rate historically, averaging 4.5 per game across 2 meetings. That scoring profile provides genuine support for the Over 2.5 angle. The most recent clash, on 12 Apr 2025, ended 1–2 with Baník Ostrava winning.

With the win record balanced, the strongest H2H-derived signal is in the goals market. At 4.5 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 (36 games, 16 at home): they score before half-time in 69% of fixtures in home games; when goalless at HT, a second-half goal follows 46% of the time; BTTS occurs in 62% of their matches (home games); Over 2.5 goals lands in 50% of games (home games); they fail to score in 36% of games.

Baník Ostrava half-time and goal-timing data (36 games, 16 at away): they score before half-time in 75% of fixtures in away games; when goalless at HT, a second-half goal follows 70% of the time; BTTS occurs in 44% of their matches (away games); Over 2.5 goals lands in 56% of games (away games).

BTTS rates are mixed from the trading data — Dukla Praha 53% versus Baník Ostrava 47%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Dukla Praha 47% | Baník Ostrava 53%).

Poisson Model

The Poisson distribution model projects Dukla Praha 1.10 xG and Baník Ostrava 1.15 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 0.918 / defence 1.004 | Baník Ostrava attack 0.898 / defence 0.905. League average goals — home 1.324 / away 1.275. Data: 32 Dukla Praha games / 31 Baník Ostrava games used (Blended). A blend of current and prior-season data is applied to stabilise estimates early in the campaign.

Result probabilities: Dukla Praha 34% | Draw 29% | Baník Ostrava 37%. Fair-value odds: Dukla Praha 2.94 | Draw 3.45 | Baník Ostrava 2.70. This is a low-confidence result — no outcome exceeds 45%. The draw at 29% is a primary outcome, not an afterthought.

Goals markets: Over 2.5 probability 39% | BTTS probability 46% | 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 46% 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 37% — marginal model lean. Draw probability of 29% warrants consideration of Double Chance or Draw No Bet on Baník Ostrava if the outright odds are short. The opposing side holds a 34% win probability per the model — this is not a banker and should be staked accordingly.

The Poisson model projects 2.25 xG in total — Under 2.5 at 39% — reasonable confidence, supported by form averaging 2.2 goals per game.

Poisson assigns a 46% probability to BTTS No based on the attack/defence strength model. Form rates are neutral: Dukla Praha 70% | Baník Ostrava 30%.

The outsider holds a 34% 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 Blended data (31 games minimum) — early-season projections carry additional uncertainty. Weight the live form and odds signals accordingly.

🔮 Your Prediction

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

💡 Key Insights