Statistics / Football / Slovakia. 2. liga / Liptovský Mikuláš vs Púchov

Liptovský Mikuláš vs Púchov Statistics & Analysis

May 08, 2026 - 15:00
3 1.45
0 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 Over 2.5 (3 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Liptovský Mikuláš Liptovský Mikuláš ✔ Correct
  • Correct Score Insights 1-1 3-0 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: 2. liga
  • Fixture: Liptovský Mikuláš vs Púchov
  • Kickoff: 2026-05-08 15:00:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): Liptovský Mikuláš 1.45 — Púchov 1.25 (total xG ≈ 2.7)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 38.0% · Over 2.5 62.0%); BTTS Yes (Yes 59.1% · No 40.9%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS No
  • BTTS (model): Yes 59.1% · No 40.9%
  • Correct score (top bin): 1-1 (10.3%)

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

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.

Re-check after material price moves; edges appear and disappear with liquidity.

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.

When would a headline +EV return?

When odds move enough that implied probabilities drop relative to the same model snapshot, or when more book prices arrive so EV can be computed reliably — then re-run the pipeline.

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
2. liga 2. ligaStandings
# TEAM MP W D L PTS
1 Dukla Banská Bystrica 29 20 6 3 66
2 Lokomotíva Zvolen 29 13 10 6 49
3 Liptovský Mikuláš 29 13 9 7 48
4 Petržalka 29 13 6 10 45
5 Malženice 29 12 8 9 44
6 Zlaté Moravce 29 12 7 10 43
7 Pohronie 29 10 11 8 41
8 Slovan Bratislava II 29 10 10 9 40
9 Inter Bratislava 29 11 6 12 39
10 Šamorín 29 9 8 12 35
11 Baník Lehota p.Vtáčnikom 29 9 7 13 34
12 Slávia TU Košice 29 8 8 13 32
13 Považská Bystrica 29 7 9 13 30
14 Žilina II 29 8 6 15 30
15 Púchov 29 6 11 12 29
16 Stará Ľubovňa 29 6 8 15 26
# TEAM MP GS GC +/- PTS
1 Dukla Banská Bystrica 29 61 24 +37 66
2 Liptovský Mikuláš 29 54 45 +9 48
3 Zlaté Moravce 29 54 46 +8 43
4 Lokomotíva Zvolen 29 45 33 +12 49
5 Pohronie 29 45 34 +11 41
6 Slovan Bratislava II 29 44 46 -2 40
7 Petržalka 29 43 30 +13 45
8 Malženice 29 42 37 +5 44
9 Šamorín 29 41 45 -4 35
10 Žilina II 29 39 59 -20 30
11 Baník Lehota p.Vtáčnikom 29 38 49 -11 34
12 Slávia TU Košice 29 38 50 -12 32
13 Považská Bystrica 29 37 49 -12 30
14 Inter Bratislava 29 34 36 -2 39
15 Stará Ľubovňa 29 34 50 -16 26
16 Púchov 29 33 49 -16 29