Slavičín vs Skaštice Statistics & Analysis

May 24, 2026 - 08:15
4 1.45
1 1.25
xG Accuracy: 46%
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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 (0 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Slavičín Draw ✖ Incorrect
  • Correct Score Insights 2-1, 1-1, 2-0, 1-0, 3-1 0-0 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: 4. liga - Divizie E
  • Fixture: Slavičín vs Skaštice
  • Kickoff: 2026-05-24 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Slavičín 1.45 — Skaštice 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 39.0% · Over 2.5 61.0%); BTTS Yes (Yes 51.0% · No 49.0%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 51.0% · No 49.0%
  • Correct score (top bin): 2-1 (9.9%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

Prefer skipping to over-staking when the engine is honest about missing edge.

Best Bet + Reason

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

Treat this page as a read-only diagnostic: totals/BTTS structure can be informative even when the honest answer is to wait.

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

FAQ

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.

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.

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.

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.

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

June 07, 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 27 21 6 0 69
2 Tatran Všechovice 28 17 5 7 53
3 Strání 26 16 3 7 51
4 Kozlovice 26 14 8 4 50
5 Brumov 27 13 4 10 43
6 Sokol Lanžhot 25 12 6 7 42
7 Slavičín 27 12 6 9 42
8 Bzenec 26 13 2 11 41
9 Baťov 27 9 7 11 34
10 Břeclav 27 10 3 14 33
11 Kroměříž II 28 8 3 17 27
12 Holešov 27 6 6 15 24
13 Šternberk 28 5 7 16 22
14 Nové Sady 26 3 8 15 17
15 Skaštice 26 3 4 19 13
# TEAM MP GS GC +/- PTS
1 Tatran Všechovice 28 67 38 +29 53
2 Bzenec 26 59 51 +8 41
3 Uherský Brod 27 55 14 +41 69
4 Strání 26 54 31 +23 51
5 Kozlovice 26 53 29 +24 50
6 Sokol Lanžhot 25 44 25 +19 42
7 Brumov 27 42 34 +8 43
8 Slavičín 27 40 38 +2 42
9 Holešov 27 39 53 -14 24
10 Břeclav 27 36 49 -13 33
11 Šternberk 28 35 54 -19 22
12 Baťov 27 31 41 -10 34
13 Kroměříž II 28 30 55 -25 27
14 Nové Sady 26 27 53 -26 17
15 Skaštice 26 23 73 -50 13