Karvan vs Qabala Statistics & Analysis

May 15, 2026 - 13:00
1 1.45
2 1.25
xG Accuracy: 72%
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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 Yes ✖ Incorrect
  • 1X2 Karvan Qabala ✖ Incorrect
  • Correct Score Insights 1-1 1-2 ✖ Incorrect

AI match briefing

AI Match Summary

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

  • League: Premyer Liqa
  • Fixture: Karvan vs Qabala
  • Kickoff: 2026-05-16 13:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Karvan 1.45 — Qabala 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 75.0% · Implied: 52.9% · Probability edge: +22.1 pts · Est. EV: +35.0%
  • BTTS (model): Yes 25.0% · No 75.0%
  • Correct score (top bin): 1-1 (12.5%)

Totals and BTTS are evaluated against current market prices where available.

Correct score remains high-variance even when a line is most likely on paper.

Best Bet + Reason

Primary pick from the decision engine: BTTS No.

If 1X2 looks tight, the engine may still find clearer structure in totals or BTTS — that is intentional.

Only one modest +EV edge is highlighted here; size cautiously and re-check if odds move.

FAQ

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.

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.

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

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 18, 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
Premyer Liqa Premyer LiqaStandings
# TEAM MP W D L PTS
1 Sabah FA 31 23 6 2 75
2 Qarabag 32 20 6 6 66
3 Turan 32 17 8 7 59
4 Neftchi Baku 31 14 11 6 53
5 Zira 31 12 14 5 50
6 Araz 32 12 7 13 43
7 Sumqayıt 31 12 5 14 41
8 Şamaxı FK 32 9 11 12 38
9 Imisli FK 32 7 12 13 33
10 Kapaz 32 8 3 21 27
11 Qabala 32 6 6 20 24
12 Karvan 32 3 5 24 14
# TEAM MP GS GC +/- PTS
1 Sabah FA 31 72 22 +50 75
2 Qarabag 32 67 24 +43 66
3 Neftchi Baku 31 54 31 +23 53
4 Turan 32 43 25 +18 59
5 Sumqayıt 31 41 43 -2 41
6 Araz 32 41 56 -15 43
7 Zira 31 39 32 +7 50
8 Şamaxı FK 32 30 37 -7 38
9 Qabala 32 29 48 -19 24
10 Kapaz 32 25 60 -35 27
11 Imisli FK 32 22 42 -20 33
12 Karvan 32 22 65 -43 14