Statistics / Football / Netherlands. Tweede Divisie / Barendrecht vs Excelsior Maassluis

Barendrecht vs Excelsior Maassluis Statistics & Analysis

Barendrecht Barendrecht
May 23, 2026 - 13:30
1 1.45
2 1.25
xG Accuracy: 72%
Excelsior Maassluis Excelsior Maassluis
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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 Barendrecht Excelsior Maassluis ✖ Incorrect
  • Correct Score Insights 1-1, 1-2, 2-1, 2-2, 0-1 1-2 ✔ Correct

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Tweede Divisie
  • Fixture: Barendrecht vs Excelsior Maassluis
  • Kickoff: 2026-05-23 13:30:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Barendrecht 1.45 — Excelsior Maassluis 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 51.8% · Implied: 34.0% · Probability edge: +17.8 pts · Est. EV: +49.2%
  • BTTS (model): Yes 48.2% · No 51.8%
  • Correct score (top bin): 1-1 (9.0%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

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.

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.

Edges shrink quickly if prices move; always re-check the number on your book.

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.

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.

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.

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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Tweede Divisie Tweede Divisie — Standings
# 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
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