Predictions / Football / Czech-Republic. FNL / Opava vs Příbram

Opava vs Příbram Prediction, Odds & AI Betting Tips

Opava Opava
May 23, 2026 - 15:00
1.45
1.25
42% 26% 33%
Příbram Příbram
Betting Primary Pick (highest +EV)
Under 2.5 — Value
EV 24.8% Model 60.9%
Steam vs. value
Market momentum is strong, but current odds may already be over-adjusted. Steam detected — model value on this line may be priced out.
This match appears on the market-movement board for aggressive line repricing — not because 1X2 is currently a positive-EV bet.
📈 Steam · Draw ↑ +8.6% · 11/14 · 58 B
Market steam Moderate
Current EV Negative
Closing line pressure Normal
Value remaining Limited
Secondary (balanced value): BTTS No (EV 24.5%) — 59.3% Model
Lower EV than primary, but with higher model probability (more “stable” when shown).
Why The model prices Under 2.5 goals about 14.5 percentage points above closing implied — the main structural read vs. the line.

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE5 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Příbram (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Under 2.5 goals by about 14.5 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Opava (1X2) 41.8 50.6 -8.8
Draw (1X2) 25.7 24.5 +1.2
Příbram (1X2) 32.6 24.9 +7.6
Over 2.5 goals 39.1 53.6 -14.5
Under 2.5 goals 60.9 46.4 +14.5
What this means

In plain terms: the model lands near 60.9% on Under 2.5 goals, while the closing snapshot implied about 46.4%. The difference — about 14.5 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE5 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE5) Implied Δ (pp)
Opava (1X2) 1.79 1.79 0.0
Draw (1X2) 3.7 3.7 0.0
Příbram (1X2) 3.63 3.63 0.0
Over 2.5 goals 1.74 1.74 0.0
Under 2.5 goals 2.01 2.01 0.0
Both Teams To Score Best value (+EV)
Yes 40.7% · No 59.3%
EV Yes -29.59% · EV No 24.53%
Value lean: BTTS No
1X2 Poor value
Opava · Model 41.8%
implied 50.6%
Main consensus market · EV: -17.7%
Best available bookmaker line: +-2.1% EV
Some outlier bookmaker prices may still show small theoretical value vs. the consensus line above.
Correct Score Insights Longshot / fun
Most Likely
1-1
Probability 13.3%
Correct score is high-variance — small stakes for fun only.
Betting decision (model vs. market EV)
Value opportunity — At least one market shows estimated +EV at current best decimal odds (threshold: 2.0%).
Decision strength: 6.5 / 10
  • Primary line identified (+1.0)
  • Primary EV above 10% (+1.0)
  • Max 1X2 prob under 50% (no dominant 1X2) (−1.0)
  • Two or more valid +EV lines at threshold (+0.5)
O/U 2.5: EV Over -29.62% · EV Under 24.84% (12 book pairs)
BTTS: EV Yes -29.59% · EV No 24.53%
Should you bet on this match? Only where +EV is shown; always compare with your own limits.
OddsGPT Decision Engine v2.1.0(EV + Market Structure + Risk Adjustment) Check Odds at 1xBet

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: FNL
  • Fixture: Opava vs Příbram
  • Kickoff: 2026-05-23 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Opava 1.45 — Příbram 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 60.9% · Implied: 46.7% · Probability edge: +14.2 pts · Est. EV: +24.8%
  • BTTS (model): Yes 40.7% · No 59.3%
  • Correct score (top bin): 1-1 (13.3%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

Correct score remains high-variance even when a line is most likely on paper.

Best Bet + Reason

Primary angle highlighted on the page: Under 2.5 goals.

If 1X2 looks tight, the engine may still find clearer structure in totals or BTTS — that is intentional.

Edges shrink quickly if prices move; always re-check the number on your book.

FAQ

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

What is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

Risk Factors

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

May 24, 2026 (UTC)

How to use this
  • Focus on the Primary line when you want one actionable idea.
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

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FNL FNL — Standings
# TEAM MP W D L PTS
1 Zbrojovka Brno 29 23 4 2 73
2 Táborsko 29 16 5 8 53
3 Artis 29 15 7 7 52
4 Ústí nad Labem 29 15 3 11 48
5 Příbram 29 13 6 10 45
6 Baník Ostrava II 29 13 5 11 44
7 Opava 29 11 10 8 43
8 Viktoria Žižkov 29 12 5 12 41
9 Vlašim 29 10 8 11 38
10 Slavia Praha II 29 10 5 14 35
11 České Budějovice 29 10 4 15 34
12 Chrudim 29 8 8 13 32
13 Hanácká 29 9 4 16 31
14 Prostějov 29 5 12 12 27
15 Vysočina Jihlava 29 6 8 15 26
16 Sparta Praha II 29 7 4 18 25
# TEAM MP GS GC +/- PTS
1 Zbrojovka Brno 29 58 21 +37 73
2 Ústí nad Labem 29 52 43 +9 48
3 Artis 29 49 35 +14 52
4 Táborsko 29 48 31 +17 53
5 Baník Ostrava II 29 44 38 +6 44
6 Opava 29 42 31 +11 43
7 Vlašim 29 39 31 +8 38
8 Slavia Praha II 29 39 45 -6 35
9 Viktoria Žižkov 29 37 50 -13 41
10 Chrudim 29 36 49 -13 32
11 České Budějovice 29 30 39 -9 34
12 Hanácká 29 30 42 -12 31
13 Prostějov 29 30 43 -13 27
14 Příbram 29 29 30 -1 45
15 Vysočina Jihlava 29 29 38 -9 26
16 Sparta Praha II 29 27 53 -26 25
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