Statistics / Football / Netherlands. Eredivisie / Excelsior vs FC Volendam

Excelsior vs FC Volendam Statistics & Analysis

Excelsior Excelsior
May 10, 2026 - 14:45
1 2.05
1 1.02
xG Accuracy: 74%
FC Volendam FC Volendam
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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 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Excelsior Draw ✖ Incorrect
  • Correct Score Insights 2-1 1-1 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Eredivisie
  • Fixture: Excelsior vs FC Volendam
  • Kickoff: 2026-05-10 14:45:00
  • 1X2 (model): Home 59.9% · Draw 23.3% · Away 16.8%
  • xG (showing): Excelsior 2.05 — FC Volendam 1.02 (total xG ≈ 3.07)
  • Best +EV line (same label as hero card when Primary thresholds are not met): BTTS No
  • Model: 43.0% · Implied: 40.7% · Probability edge: +2.3 pts · Est. EV: +3.2%
  • BTTS (model): Yes 57.0% · No 43.0%
  • Correct score (top bin): 2-1 (9.9%)

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

1X2 can look balanced even when side markets show clearer structure.

Best Bet + Reason

Best current value angle on the board — same leg as the “Best +EV” hero when Primary rules are not met: 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).

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.

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.

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.

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
Eredivisie Eredivisie — Standings
# TEAM MP W D L PTS
1 PSV Eindhoven 33 26 3 4 81
2 Feyenoord 33 18 8 7 62
3 Twente 33 15 13 5 58
4 NEC Nijmegen 33 15 11 7 56
5 Ajax 33 14 13 6 55
6 AZ Alkmaar 33 14 9 10 51
7 Utrecht 33 14 8 11 50
8 Heerenveen 33 14 8 11 50
9 Groningen 33 13 6 14 45
10 Sparta Rotterdam 33 12 7 14 43
11 Fortuna Sittard 33 11 6 16 39
12 GO Ahead Eagles 33 8 14 11 38
13 PEC Zwolle 33 9 10 14 37
14 Excelsior 33 9 8 16 35
15 Telstar 33 8 10 15 34
16 FC Volendam 33 8 8 17 32
17 NAC Breda 33 6 10 17 28
18 Heracles 33 5 4 24 19
# TEAM MP GS GC +/- PTS
1 PSV Eindhoven 33 96 44 +52 81
2 NEC Nijmegen 33 75 52 +23 56
3 Feyenoord 33 68 44 +24 62
4 Ajax 33 62 41 +21 55
5 Twente 33 58 35 +23 58
6 Heerenveen 33 57 53 +4 50
7 AZ Alkmaar 33 55 48 +7 51
8 Utrecht 33 53 42 +11 50
9 GO Ahead Eagles 33 53 51 +2 38
10 Fortuna Sittard 33 49 61 -12 39
11 Groningen 33 47 44 +3 45
12 Telstar 33 47 54 -7 34
13 PEC Zwolle 33 44 69 -25 37
14 Excelsior 33 40 54 -14 35
15 Sparta Rotterdam 33 38 59 -21 43
16 FC Volendam 33 34 53 -19 32
17 Heracles 33 34 83 -49 19
18 NAC Breda 33 32 55 -23 28
# TEAM MP xG xGC +/- PTS
1 PSV Eindhoven 33 67.2 35.9 +31.3 81
2 Feyenoord 33 63.9 36.5 +27.4 62
3 Twente 33 58.9 33.7 +25.2 58
4 AZ Alkmaar 33 60.5 40.4 +20.1 51
5 NEC Nijmegen 33 57.1 45.6 +11.5 56
6 Groningen 33 56.8 45.6 +11.2 45
7 Heerenveen 33 56.7 47.5 +9.2 50
8 Ajax 33 51.6 44.0 +7.6 55
9 Utrecht 33 47.9 43.9 +4.0 50
10 Sparta Rotterdam 33 40.0 47.1 -7.1 43
11 Telstar 33 45.9 57.2 -11.3 34
12 NAC Breda 33 37.3 48.9 -11.6 28
13 Excelsior 33 43.2 56.6 -13.4 35
14 GO Ahead Eagles 33 41.4 57.9 -16.5 38
15 Fortuna Sittard 33 39.4 56.4 -17.0 39
16 PEC Zwolle 33 35.5 55.4 -19.9 37
17 FC Volendam 33 33.4 57.9 -24.5 32
18 Heracles 33 38.5 64.5 -26.0 19
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