Statistics / Football / Croatia. HNL / Istra 1961 vs NK Slaven Belupo

Istra 1961 vs NK Slaven Belupo Statistics & Analysis

Istra 1961 Istra 1961
May 04, 2026 - 16:00
3 1.13
1 1.40
xG Accuracy: 54%
NK Slaven Belupo NK Slaven Belupo
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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 NK Slaven Belupo Istra 1961 ✖ Incorrect
  • Correct Score Insights 1-1 3-1 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: HNL
  • Fixture: Istra 1961 vs NK Slaven Belupo
  • Kickoff: 2026-05-04 16:00:00
  • 1X2 (model): Home 28.7% · Draw 29.8% · Away 41.5%
  • xG (showing): Istra 1961 1.13 — NK Slaven Belupo 1.4 (total xG ≈ 2.53)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 47.4% · Implied: 43.2% · Probability edge: +4.2 pts · Est. EV: +7.1%
  • BTTS (model): Yes 52.6% · No 47.4%
  • Correct score (top bin): 1-1 (12.6%)

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

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.

No pick is a guarantee; variance is especially large in scoreline markets.

FAQ

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.

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.

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.

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
HNL HNL — Standings
# 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 66.0 23.9 +42.1 82
2 HNK Hajduk Split 35 60.4 33.3 +27.1 65
3 HNK Rijeka 34 48.7 30.7 +18.0 49
4 HNK Gorica 35 37.5 40.8 -3.3 41
5 NK Lokomotiva Zagreb 35 38.5 42.9 -4.4 43
6 NK Osijek 35 34.6 42.3 -7.7 32
7 NK Varazdin 35 32.0 41.3 -9.3 51
8 NK Slaven Belupo 34 34.6 46.8 -12.2 41
9 Vukovar 35 26.4 48.7 -22.3 28
10 Istra 1961 34 29.9 57.9 -28.0 42
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