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Poisson model rates Hradec Králové at 39%, yet other data sources diverge — this Hradec Králové vs Plzen fixture contains genuine analytical tension.

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Pre-Match Analysis

Hradec Králové and Plzen meet at FINEP Arena in Czech Liga, Regular Season - 5. This fixture gets under way on Saturday 22 August 2026 at 16:00 UTC.

Form & Momentum

Hradec Králové have collected 2.20 PPG across 10 Czech Liga outings this season: 7W 1D 2L. Last five: L D W W L. Offensively they are averaging 1.60 goals per game, with 0.90 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. Hradec Králové haven't played a Czech Liga game yet this season, so this record is entirely from last season.

Hradec Králové's home record at FINEP Arena: 7W 2D 1L from 10 Czech Liga appearances (2.30 PPG). At home they are averaging 1.50 goals scored and 0.60 conceded per game. 6 clean sheets from 10 home games (60%) — they are an exceptionally hard side to score against at FINEP Arena. At home, both teams have scored in only 30% of games — reinforcing BTTS No as the home-venue-backed angle.

Plzen's overall Czech Liga record this term: 5W 3D 2L from 10 games (1.80 PPG). Last five: W W D W L. They are scoring at 1.50 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. 6 clean sheets from 10 games (60%) is an exceptional defensive record — they are keeping clean sheets more often than not. Both teams have scored in only 20% of their fixtures — a very low rate that strongly backs BTTS No. Plzen haven't played a Czech Liga game yet this season, so this record is entirely from last season.

When travelling in Czech Liga this season, Plzen have posted 4W 3D 3L from 10 away outings — 1.50 PPG. Away from home they average 1.10 goals scored and 1.30 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. Away from home, both teams have scored in only 20% of games — a low rate that backs BTTS No when they travel.

Neither side holds a meaningful form edge. The 2.20 vs 1.80 PPG split is negligible — model and market signals should carry more analytical weight for this one.

Both sides have a clean-sheet tendency (using home/away splits) — Hradec Králové have seen both teams score in just 30% of their matches, Plzen in only 20%. BTTS No has clear statistical support from the form record of both squads.

Head-to-Head

The head-to-head ledger leans to Plzen, who have claimed 6 wins from 10 meetings compared to 1 for the hosts, with 3 draws.

The 10 previous meetings have averaged 2.7 goals per game — a neutral rate that provides no strong lean on the goals market from the H2H alone. The most recent clash, on 3 May 2026, ended 1–3 with Plzen winning.

The H2H provides genuine backing for the away side. Plzen have won 6 of 10 previous encounters, and at 2.7 goals per game, the goals market also points upward. The away win and Over 2.5 combination has a historical case worth noting.

Trading

Hradec Králové half-time and goal-timing data (35 games, 17 at home): they score before half-time in 76% of fixtures in home games; when goalless at HT, a second-half goal follows 78% of the time; BTTS occurs in 41% of their matches (home games); Over 2.5 goals lands in 47% of games (home games).

Plzen half-time and goal-timing data (35 games, 17 at away): they score before half-time in 82% of fixtures in away games; when goalless at HT, a second-half goal follows 57% of the time; they lead at the break 51% of the time; BTTS occurs in 35% of their matches (away games); Over 2.5 goals lands in 59% of games (away games); they keep a clean sheet 40% of the time.

BTTS rates are mixed from the trading data — Hradec Králové 51% versus Plzen 43%; no strong lean in either direction. The over/under 2.5 picture is inconclusive from the in-play data (Hradec Králové 49% | Plzen 51%).

Poisson Model

The Poisson distribution model projects Hradec Králové 1.26 xG and Plzen 1.10 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: Hradec Králové attack 1.010 / defence 0.899 | Plzen attack 1.018 / defence 0.889. League average goals — home 1.403 / away 1.204. Data: 30 Hradec Králové games / 30 Plzen 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: Hradec Králové 39% | Draw 29% | Plzen 31%. Fair-value odds: Hradec Králové 2.56 | Draw 3.45 | Plzen 3.23. 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 42% | BTTS probability 49% | Total xG 2.36. Under 2.5 has a narrow probability edge at 58% — total xG of 2.36 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.

Verdict

The Poisson model's primary lean is Hradec Králové at 39% — marginal model lean. Draw probability of 29% warrants consideration of Double Chance or Draw No Bet on Hradec Králové if the outright odds are short. The opposing side holds a 31% win probability per the model — this is not a banker and should be staked accordingly.

On the goals line, Poisson's 2.36 combined xG gives a 42% probability to Under 2.5 — Poisson-only — limited corroboration — though H2H averaging only 2.7 goals per meeting points in the other direction.

The Poisson model's BTTS call is No at 49%. Form rates corroborate: Hradec Králové 30% | Plzen 20% BTTS from recent games.

The outsider holds a 31% 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 (30 games minimum) — early-season projections carry additional uncertainty. Weight the live form and odds signals accordingly.

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