Statistics / Football / Croatia. HNL / Vukovar vs NK Varazdin

Vukovar vs NK Varazdin Statistics & Analysis

May 15, 2026 - 16:00
0 1.18
2 1.35
xG Accuracy: 60%
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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 No ✔ Correct
  • 1X2 NK Varazdin NK Varazdin ✔ Correct
  • Correct Score Insights 1-1 0-2 ✖ Incorrect

AI match briefing

AI Match Summary

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

  • League: HNL
  • Fixture: Vukovar vs NK Varazdin
  • Kickoff: 2026-05-16 15:00:00
  • 1X2 (model): Home 30.9% · Draw 30.0% · Away 39.0%
  • xG (showing): Vukovar 1.18 — NK Varazdin 1.35 (total xG ≈ 2.53)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 53.6% · Implied: 47.3% · Probability edge: +6.3 pts · Est. EV: +10.4%
  • BTTS (model): Yes 53.0% · No 47.0%
  • Correct score (top bin): 1-1 (12.7%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

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.

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

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.

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

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.

What is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

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
HNL HNLStandings
# TEAM MP W D L PTS
1 Dinamo Zagreb 34 26 4 4 82
2 HNK Hajduk Split 35 19 8 8 65
3 NK Varazdin 35 14 9 12 51
4 HNK Rijeka 34 13 10 11 49
5 NK Lokomotiva Zagreb 35 10 13 12 43
6 Istra 1961 34 12 6 16 42
7 HNK Gorica 35 11 8 16 41
8 NK Slaven Belupo 34 10 11 13 41
9 NK Osijek 35 7 11 17 32
10 Vukovar 35 6 10 19 28
# TEAM MP GS GC +/- PTS
1 Dinamo Zagreb 34 89 27 +62 82
2 HNK Hajduk Split 35 55 33 +22 65
3 HNK Rijeka 34 47 36 +11 49
4 NK Varazdin 35 45 46 -1 51
5 NK Slaven Belupo 34 45 55 -10 41
6 HNK Gorica 35 40 46 -6 41
7 NK Lokomotiva Zagreb 35 40 52 -12 43
8 Istra 1961 34 39 48 -9 42
9 Vukovar 35 34 67 -33 28
10 NK Osijek 35 25 49 -24 32
# TEAM MP xG xGC +/- PTS
1 Dinamo Zagreb 34 68.5 24.6 +43.9 82
2 HNK Hajduk Split 35 63.1 34.8 +28.3 65
3 HNK Rijeka 34 49.3 31.9 +17.4 49
4 HNK Gorica 35 38.1 42.0 -3.9 41
5 NK Lokomotiva Zagreb 35 40.1 45.6 -5.5 43
6 NK Osijek 35 35.9 42.9 -7.0 32
7 NK Varazdin 35 33.9 42.1 -8.2 51
8 NK Slaven Belupo 34 35.2 49.3 -14.1 41
9 Vukovar 35 27.2 50.6 -23.4 28
10 Istra 1961 34 31.1 58.5 -27.4 42