Skaštice vs Holešov Prediction, Odds & AI Betting Tips

May 17, 2026 - 15:00
2 1.45
3 1.25
xG Accuracy: 53%
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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 No No ✔ Correct
  • 1X2 Skaštice Draw ✖ Incorrect
  • Correct Score Insights 1-2, 1-1, 2-2, 2-1, 1-3 0-0 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: 4. liga - Divizie E
  • Fixture: Skaštice vs Holešov
  • Kickoff: 2026-05-17 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Skaštice 1.45 — Holešov 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 31.2% · Over 2.5 68.8%); BTTS No (Yes 42.1% · No 57.9%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS No
  • BTTS (model): Yes 42.1% · No 57.9%
  • Correct score (top bin): 1-2 (9.1%)

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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Best Bet + Reason

No clear +EV headline on this snapshot.

The cards may still show value leans (e.g. a preferred Under or a BTTS side) where prices are inefficient or incomplete — that is not the same as a positive-EV ticket at the configured threshold.

Stake sizing should default to zero when no headline +EV exists — experimentation belongs in the discretionary bucket only.

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.

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

May 24, 2026 (UTC)

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Back to Predictions
4. liga - Divizie E 4. liga - Divizie EStandings
# TEAM MP W D L PTS
1 Uherský Brod 25 20 5 0 65
2 Tatran Všechovice 27 17 4 6 55
3 Strání 25 15 3 7 48
4 Kozlovice 24 12 8 4 44
5 Brumov 26 13 3 10 42
6 Sokol Lanžhot 23 11 6 6 39
7 Bzenec 24 12 2 10 38
8 Slavičín 25 11 5 9 38
9 Baťov 25 8 7 10 31
10 Břeclav 25 8 3 14 27
11 Kroměříž II 25 8 3 14 27
12 Holešov 25 5 6 14 21
13 Šternberk 25 4 7 14 19
14 Nové Sady 24 3 6 15 15
15 Skaštice 24 3 4 17 13
# TEAM MP GS GC +/- PTS
1 Tatran Všechovice 27 70 35 +35 55
2 Bzenec 24 57 47 +10 38
3 Strání 25 51 31 +20 48
4 Uherský Brod 25 47 9 +38 65
5 Kozlovice 24 47 28 +19 44
6 Brumov 26 41 33 +8 42
7 Sokol Lanžhot 23 40 21 +19 39
8 Holešov 25 36 51 -15 21
9 Slavičín 25 35 36 -1 38
10 Břeclav 25 31 47 -16 27
11 Šternberk 25 29 47 -18 19
12 Baťov 25 27 38 -11 31
13 Kroměříž II 25 26 44 -18 27
14 Nové Sady 24 22 48 -26 15
15 Skaštice 24 21 65 -44 13