Statistics / Football / Singapore. Premier League / Hougang United vs Tampines Rovers

Hougang United vs Tampines Rovers Statistics & Analysis

May 10, 2026 - 11:30
0 1.45
1 1.25
xG Accuracy: 63%
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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 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Hougang United Tampines Rovers ✖ Incorrect
  • Correct Score Insights 1-2 0-1 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Premier League
  • Fixture: Hougang United vs Tampines Rovers
  • Kickoff: 2026-05-10 11:30:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Hougang United 1.45 — Tampines Rovers 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): Hougang United
  • Model: 41.8% · Implied: 13.1% · Probability edge: +28.7 pts · Est. EV: +16.0%
  • BTTS (model): Yes 65.9% · No 34.1%
  • Correct score (top bin): 1-2 (9.7%)

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

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

Best Bet + Reason

The engine’s headline primary is: Hougang United.

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

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

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.

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.

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
Premier League Premier LeagueStandings
# TEAM MP W D L PTS
1 Home United 20 16 3 1 51
2 Albirex Niigata S 21 15 2 4 47
3 Tampines Rovers 20 14 4 2 46
4 Balestier Khalsa 21 11 2 8 35
5 Geylang International 21 7 3 11 24
6 Hougang United 20 7 0 13 21
7 Young Lions 21 2 3 16 9
8 Tanjong Pagar 20 1 1 18 4
# TEAM MP GS GC +/- PTS
1 Home United 20 68 11 +57 51
2 Tampines Rovers 20 55 19 +36 46
3 Albirex Niigata S 21 47 19 +28 47
4 Balestier Khalsa 21 44 46 -2 35
5 Geylang International 21 29 42 -13 24
6 Hougang United 20 23 39 -16 21
7 Young Lions 21 15 58 -43 9
8 Tanjong Pagar 20 15 62 -47 4