Statistics / Football / Netherlands. Eredivisie / Sparta Rotterdam vs Excelsior

Sparta Rotterdam vs Excelsior Statistics & Analysis

Sparta Rotterdam Sparta Rotterdam
May 17, 2026 - 12:30
2 1.43
3 1.42
xG Accuracy: 55%
Excelsior Excelsior
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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 Sparta Rotterdam Excelsior ✖ Incorrect
  • Correct Score Insights 1-1 2-3 ✖ Incorrect

AI match briefing

AI Match Summary

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

  • League: Eredivisie
  • Fixture: Sparta Rotterdam vs Excelsior
  • Kickoff: 2026-05-17 12:30:00
  • 1X2 (model): Home 36.2% · Draw 28.1% · Away 35.7%
  • xG (showing): Sparta Rotterdam 1.43 — Excelsior 1.42 (total xG ≈ 2.85)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 45.8% · Implied: 35.4% · Probability edge: +10.4 pts · Est. EV: +28.2%
  • BTTS (model): Yes 59.2% · No 40.8%
  • Correct score (top bin): 1-1 (11.7%)

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

The engine’s headline primary is: Under 2.5 goals.

If 1X2 looks tight, the engine may still find clearer structure in totals or BTTS — that is intentional.

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

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.

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.

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 19, 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 34 27 3 4 84
2 Feyenoord 34 19 8 7 65
3 NEC Nijmegen 34 16 11 7 59
4 Twente 34 15 13 6 58
5 Ajax 34 14 14 6 56
6 Utrecht 34 15 8 11 53
7 AZ Alkmaar 34 14 10 10 52
8 Heerenveen 34 14 9 11 51
9 Groningen 34 14 6 14 48
10 Sparta Rotterdam 34 12 7 15 43
11 Fortuna Sittard 34 11 6 17 39
12 GO Ahead Eagles 34 8 14 12 38
13 Excelsior 34 10 8 16 38
14 Telstar 34 9 10 15 37
15 PEC Zwolle 34 9 10 15 37
16 FC Volendam 34 8 8 18 32
17 NAC Breda 34 6 11 17 29
18 Heracles 34 5 4 25 19
# TEAM MP GS GC +/- PTS
1 PSV Eindhoven 34 101 45 +56 84
2 NEC Nijmegen 34 77 53 +24 59
3 Feyenoord 34 70 44 +26 65
4 Ajax 34 62 41 +21 56
5 Twente 34 59 40 +19 58
6 AZ Alkmaar 34 58 51 +7 52
7 Heerenveen 34 57 53 +4 51
8 Utrecht 34 55 42 +13 53
9 GO Ahead Eagles 34 54 53 +1 38
10 Groningen 34 49 45 +4 48
11 Telstar 34 49 55 -6 37
12 Fortuna Sittard 34 49 63 -14 39
13 PEC Zwolle 34 44 71 -27 37
14 Excelsior 34 43 56 -13 38
15 Sparta Rotterdam 34 40 62 -22 43
16 FC Volendam 34 35 55 -20 32
17 NAC Breda 34 35 58 -23 29
18 Heracles 34 35 85 -50 19
# TEAM MP xG xGC +/- PTS
1 PSV Eindhoven 34 69.7 37.3 +32.4 84
2 Feyenoord 34 67.1 37.3 +29.8 65
3 Twente 34 60.3 36.3 +24.0 58
4 AZ Alkmaar 34 61.9 42.5 +19.4 52
5 NEC Nijmegen 34 61.6 45.9 +15.7 59
6 Groningen 34 58.0 46.2 +11.8 48
7 Heerenveen 34 58.3 49.4 +8.9 51
8 Ajax 34 53.4 45.6 +7.8 56
9 Utrecht 34 50.0 44.4 +5.6 53
10 Sparta Rotterdam 34 41.8 48.0 -6.2 43
11 NAC Breda 34 39.4 50.3 -10.9 29
12 Telstar 34 47.3 58.3 -11.0 37
13 Excelsior 34 44.1 58.3 -14.2 38
14 Fortuna Sittard 34 39.9 58.5 -18.6 39
15 GO Ahead Eagles 34 41.7 62.4 -20.7 38
16 PEC Zwolle 34 36.2 58.6 -22.4 37
17 FC Volendam 34 34.5 59.3 -24.8 32
18 Heracles 34 39.1 65.7 -26.6 19
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