Statistics / Football / Albania. Superliga / Dinamo Tirana vs Vora

Dinamo Tirana vs Vora Statistics & Analysis

May 06, 2026 - 14:00
2 1.45
2 1.25
xG Accuracy: 70%
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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 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Dinamo Tirana Draw ✖ Incorrect
  • Correct Score Insights 1-0 2-2 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Superliga
  • Fixture: Dinamo Tirana vs Vora
  • Kickoff: 2026-05-06 15:00:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): Dinamo Tirana 1.45 — Vora 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 66.3% · Implied: 48.6% · Probability edge: +17.7 pts · Est. EV: +39.2%
  • BTTS (model): Yes 32.9% · No 67.1%
  • Correct score (top bin): 1-0 (14.8%)

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

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

Best Bet + Reason

The engine’s headline primary is: Under 2.5 goals.

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.

When several markets sit near +EV, keep stakes small — correlation means edges do not add cleanly.

FAQ

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.

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.

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.

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.

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
Superliga SuperligaStandings
# TEAM MP W D L PTS
1 Vllaznia Shkodër 36 18 9 9 63
2 AF Elbasani 36 17 11 8 62
3 Egnatia Rrogozhinë 36 16 9 11 57
4 Dinamo Tirana 36 12 13 11 49
5 Partizani 36 13 9 14 48
6 Tirana 36 11 11 14 44
7 Vora 36 10 12 14 42
8 Teuta Durrës 36 9 15 12 42
9 Bylis 36 10 11 15 41
10 Flamurtari 36 8 12 16 36
# TEAM MP GS GC +/- PTS
1 AF Elbasani 36 48 37 +11 62
2 Dinamo Tirana 36 43 33 +10 49
3 Vllaznia Shkodër 36 42 27 +15 63
4 Egnatia Rrogozhinë 36 42 34 +8 57
5 Vora 36 39 40 -1 42
6 Flamurtari 36 39 45 -6 36
7 Partizani 36 38 48 -10 48
8 Bylis 36 38 50 -12 41
9 Tirana 36 36 46 -10 44
10 Teuta Durrës 36 32 37 -5 42