Posušje vs Velež Statistics & Analysis

May 09, 2026 - 18:45
1 1.45
1 1.25
xG Accuracy: 82%
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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 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Posušje Draw ✖ Incorrect
  • Correct Score Insights 0-1 1-1 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Premijer Liga
  • Fixture: Posušje vs Velež
  • Kickoff: 2026-05-09 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Posušje 1.45 — Velež 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 70.1% · Implied: 62.7% · Probability edge: +7.4 pts · Est. EV: +12.9%
  • BTTS (model): Yes 29.9% · No 70.1%
  • Correct score (top bin): 0-1 (16.5%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

Early match state can move realised goals away from pre-kick projections.

Best Bet + Reason

The engine’s headline primary is: BTTS No.

Model probability is compared to implied probability from odds to highlight a probability edge; EV uses the same model probability with the best decimal price tracked.

Edges shrink quickly if prices move; always re-check the number on your book.

FAQ

What changes first if odds move?

Implied probabilities and EV move immediately with price; model probabilities in this snapshot do not update until the pipeline is re-run. Refresh after material line moves.

Why might 1X2 look unattractive while totals do not?

Tight 1X2 prices often embed a fair three-way split, so EV on match-winner can sit negative even when Over/Under or BTTS still diverges from the model — compare the 1X2 row on the market cards to O/U and BTTS.

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

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
Premijer Liga Premijer LigaStandings
# TEAM MP W D L PTS
1 Borac Banja Luka 34 26 4 4 82
2 Zrinjski 34 20 7 7 67
3 FK Sarajevo 34 17 8 9 59
4 Velež 34 14 9 11 51
5 Zeljeznicar Sarajevo 34 10 11 13 41
6 Siroki Brijeg 34 10 11 13 41
7 Posušje 34 8 10 16 34
8 Radnik Bijeljina 34 8 10 16 34
9 Rudar Prijedor 34 7 8 19 29
10 Sloga Doboj 34 6 10 18 28
# TEAM MP GS GC +/- PTS
1 Borac Banja Luka 34 74 20 +54 82
2 FK Sarajevo 34 50 35 +15 59
3 Zrinjski 34 43 23 +20 67
4 Velež 34 34 29 +5 51
5 Zeljeznicar Sarajevo 34 32 34 -2 41
6 Siroki Brijeg 34 31 46 -15 41
7 Rudar Prijedor 34 29 52 -23 29
8 Radnik Bijeljina 34 27 41 -14 34
9 Posušje 34 25 38 -13 34
10 Sloga Doboj 34 19 46 -27 28