Břeclav vs Baťov Statistics & Analysis

May 09, 2026 - 14:30
0 1.45
1 1.25
xG Accuracy: 63%
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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Under 2.5 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Břeclav Baťov ✖ Incorrect
  • Correct Score Insights 1-1 0-1 ✖ Incorrect

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: 4. liga - Divizie E
  • Fixture: Břeclav vs Baťov
  • Kickoff: 2026-05-10 14:30:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Břeclav 1.45 — Baťov 1.25 (total xG ≈ 2.7)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 41.2% · Over 2.5 58.8%); BTTS Yes (Yes 53.8% · No 46.2%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 53.8% · No 46.2%
  • Correct score (top bin): 1-1 (11.0%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Best Bet + Reason

Skip unless odds move — the engine sees no line clearing the +EV gate.

When 1X2 is tight, prices often already embed the uncertainty — all three legs can be −EV, or show only small +EV that still fails the headline threshold — respect that when sizing.

Correct-score markets remain high-variance even when one scoreline leads the table.

FAQ

Should I still read the 1X2 card?

Yes — it shows whether any winner price clears value. Here it often explains why there is no headline: probabilities can be clustered while prices already embed that uncertainty.

What do the grey “lean” labels mean then?

They summarise where the model tilts (e.g. Under 2.5 or BTTS No) without claiming a positive economic edge. Use them as context; size to zero unless you deliberately accept discretionary risk.

Why is there no “best bet” on this page?

The headline engine uses a minimum +EV threshold (e.g. 2%) for a default pick. A line can still show tiny +EV that fails that bar — we still call it no default bet so readers do not over-size thin edges.

Is the most likely correct score still relevant?

As context only: it is still a low absolute probability tail outcome (often in the single digits, sometimes low teens). It does not override the “no headline +EV” stance — treat score bets as fun-sized if you play them at all.

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 17, 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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Back to Statistics
4. liga - Divizie E 4. liga - Divizie EStandings
# TEAM MP W D L PTS
1 Uherský Brod 24 19 5 0 62
2 Tatran Všechovice 25 16 3 6 51
3 Strání 25 15 3 7 48
4 Kozlovice 23 12 8 3 44
5 Sokol Lanžhot 23 11 6 6 39
6 Bzenec 24 12 2 10 38
7 Brumov 24 12 2 10 38
8 Slavičín 24 11 5 8 38
9 Baťov 24 8 6 10 30
10 Kroměříž II 24 8 3 13 27
11 Břeclav 24 8 2 14 26
12 Šternberk 25 4 7 14 19
13 Holešov 23 3 6 14 15
14 Nové Sady 23 3 6 14 15
15 Skaštice 23 3 4 16 13
# TEAM MP GS GC +/- PTS
1 Tatran Všechovice 25 65 33 +32 51
2 Bzenec 24 57 47 +10 38
3 Strání 25 51 31 +20 48
4 Kozlovice 23 47 27 +20 44
5 Uherský Brod 24 46 9 +37 62
6 Sokol Lanžhot 23 40 21 +19 39
7 Brumov 24 38 33 +5 38
8 Slavičín 24 34 32 +2 38
9 Břeclav 24 31 47 -16 26
10 Šternberk 25 29 47 -18 19
11 Holešov 23 29 49 -20 15
12 Baťov 24 26 37 -11 30
13 Kroměříž II 24 26 41 -15 27
14 Nové Sady 23 22 44 -22 15
15 Skaštice 23 19 62 -43 13