Statistics / Football / Netherlands. Tweede Divisie / Koninklijke HFC vs Spakenburg

Koninklijke HFC vs Spakenburg Statistics & Analysis

May 23, 2026 - 13:30
3 1.45
2 1.25
xG Accuracy: 53%
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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 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Koninklijke HFC Koninklijke HFC ✔ Correct
  • Correct Score Insights 1-1, 1-2, 0-1, 0-2, 2-1 3-2 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Tweede Divisie
  • Fixture: Koninklijke HFC vs Spakenburg
  • Kickoff: 2026-05-23 13:30:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Koninklijke HFC 1.45 — Spakenburg 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 44.9% · Implied: 34.3% · Probability edge: +10.6 pts · Est. EV: +25.7%
  • BTTS (model): Yes 55.1% · No 44.9%
  • Correct score (top bin): 1-1 (10.8%)

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

The engine’s headline primary is: BTTS No.

We separate probability edge (model minus implied, in points of probability) from estimated EV (economic edge at the best price shown on the page).

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

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.

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.

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

June 08, 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
Tweede Divisie Tweede DivisieStandings
# TEAM MP W D L PTS
1 Quick Boys 33 18 10 5 63
2 De Treffers 33 18 8 7 62
3 Hoek 33 19 5 9 62
4 Spakenburg 33 16 8 9 56
5 Rijnsburgse Boys 33 15 8 10 53
6 HHC 33 16 5 12 53
7 Katwijk 33 14 7 12 49
8 Almere City II 33 14 5 14 47
9 Kozakken Boys 33 13 8 12 47
10 Sparta Rotterdam II 33 12 9 12 45
11 AFC Amsterdam 33 12 9 12 45
12 Barendrecht 33 13 4 16 43
13 RKAV Volendam 33 13 3 17 42
14 GVVV Veenendaal 33 12 6 15 42
15 Koninklijke HFC 33 11 3 19 36
16 Ijsselmeervogels 33 9 4 20 31
17 Excelsior Maassluis 33 7 7 19 28
18 ACV 33 6 9 18 27
# TEAM MP GS GC +/- PTS
1 Spakenburg 33 70 57 +13 56
2 Sparta Rotterdam II 33 70 69 +1 45
3 Rijnsburgse Boys 33 69 55 +14 53
4 Quick Boys 33 67 34 +33 63
5 Almere City II 33 65 58 +7 47
6 De Treffers 33 62 35 +27 62
7 Barendrecht 33 61 82 -21 43
8 Hoek 33 58 35 +23 62
9 Katwijk 33 56 54 +2 49
10 HHC 33 55 42 +13 53
11 RKAV Volendam 33 50 55 -5 42
12 GVVV Veenendaal 33 48 62 -14 42
13 Kozakken Boys 33 46 53 -7 47
14 AFC Amsterdam 33 44 51 -7 45
15 Ijsselmeervogels 33 44 61 -17 31
16 ACV 33 44 69 -25 27
17 Excelsior Maassluis 33 37 57 -20 28
18 Koninklijke HFC 33 30 47 -17 36