Statistics / Football / Slovakia. 2. liga / Petržalka vs Pohronie

Petržalka vs Pohronie Statistics & Analysis

Petržalka Petržalka
Sep 21, 2026 - 15:00
1 1.39
0 1.21
xG Accuracy: 64%
Pohronie Pohronie
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Tracked markets vs full-time result

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Petržalka Petržalka ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-0 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Sep 15, 2026 · 02:46 UTC Snapshot ID: dp-8838999

Closing Odds 1.62
AI Fair Odds —
CLV +0.0%
Final Result Petržalka win · Petržalka 1–0 Pohronie
Prediction ✔ Correct
Decision Grade A

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

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 PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Pohronie (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 Pohronie (1X2) by about 10.4 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Petržalka (1X2) 39.5 56.6 -17.1
Draw (1X2) 29.5 22.9 +6.6
Pohronie (1X2) 31.0 20.6 +10.4
Over 2.5 goals 48.2 58.2 -10.0
Under 2.5 goals 51.8 41.8 +10.0
What this means

In plain terms: the model lands near 31.0% on Pohronie (1X2), while the closing snapshot implied about 20.6%. The difference — about 10.4 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 → PRE1 · 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 (PRE1) Implied Δ (pp)
Petržalka (1X2) 1.62 1.62 0.0
Draw (1X2) 4.01 4.01 0.0
Pohronie (1X2) 4.45 4.45 0.0
Over 2.5 goals 1.6 1.6 0.0
Under 2.5 goals 2.23 2.23 0.0

AI match briefing

AI Match Summary

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

  • League: 2. liga
  • Fixture: Petržalka vs Pohronie
  • Kickoff: 2026-09-21 15:00:00
  • 1X2 (model): Home 39.5% · Draw 29.5% · Away 31.0%
  • xG (showing): Petržalka 1.39 — Pohronie 1.21 (total xG ≈ 2.6)
  • 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 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.3% · No 45.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 54.3% · No 45.7%
  • Correct score (top bin): 1-1 (12.5%)

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.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

  • 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%).

Last Updated

September 28, 2026 (UTC)

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Back to Statistics
2. liga 2. liga — Standings
# TEAM MP W D L PTS
1 Petržalka 10 9 0 1 27
2 Šamorín 10 9 0 1 27
3 Považská Bystrica 10 6 1 3 19
4 Žilina II 9 5 1 3 16
5 Pohronie 10 5 1 4 16
6 Galanta 10 5 1 4 16
7 Inter Bratislava 10 4 3 3 15
8 Tatran Prešov 10 4 2 4 14
9 Liptovský Mikuláš 10 3 4 3 13
10 Baník Lehota p.Vtáčnikom 10 3 4 3 13
11 Zlaté Moravce 10 3 3 4 12
12 Malženice 10 3 1 6 10
13 Slovan Bratislava II 10 2 3 5 9
14 Humenné 9 2 1 6 7
15 MFK Bytča 10 2 0 8 6
16 Lokomotíva Zvolen 10 0 3 7 3
# TEAM MP GS GC +/- PTS
1 Šamorín 10 22 10 +12 27
2 Petržalka 10 20 6 +14 27
3 Inter Bratislava 10 20 11 +9 15
4 Považská Bystrica 10 20 17 +3 19
5 Pohronie 10 16 15 +1 16
6 Liptovský Mikuláš 10 15 12 +3 13
7 Baník Lehota p.Vtáčnikom 10 15 16 -1 13
8 Slovan Bratislava II 10 14 16 -2 9
9 Galanta 10 13 14 -1 16
10 Malženice 10 13 15 -2 10
11 Žilina II 9 12 9 +3 16
12 Tatran Prešov 10 12 14 -2 14
13 Zlaté Moravce 10 10 9 +1 12
14 MFK Bytča 10 8 28 -20 6
15 Lokomotíva Zvolen 10 7 18 -11 3
16 Humenné 9 6 13 -7 7
2. liga Slovakia. 2. liga Predictions