Predictions / Football / Indonesia. Liga 1 / Semen Padang vs Persebaya Surabaya

Semen Padang vs Persebaya Surabaya Prediction, Odds & AI Betting Tips

May 15, 2026 - 08:30
0 1.45
7 1.25
xG Accuracy: 14%
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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 (7 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Semen Padang Persebaya Surabaya ✖ Incorrect
  • Correct Score Insights 0-1, 1-1, 0-2, 1-2, 0-0 0-7 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Liga 1
  • Fixture: Semen Padang vs Persebaya Surabaya
  • Kickoff: 2026-05-15 08:30:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Semen Padang 1.45 — Persebaya Surabaya 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 54.4% · Implied: 39.1% · Probability edge: +15.3 pts · Est. EV: +36.0%
  • BTTS (model): Yes 39.6% · No 60.4%
  • Correct score (top bin): 0-1 (13.1%)

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

Early match state can move realised goals away from pre-kick projections.

Best Bet + Reason

Primary pick from the decision engine: Under 2.5 goals.

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.

No pick is a guarantee; variance is especially large in scoreline markets.

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.

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.

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.

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 24, 2026 (UTC)

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Liga 1 Liga 1Standings
# TEAM MP W D L PTS
1 Persib Bandung 34 24 7 3 79
2 Pusamania Borneo 34 25 4 5 79
3 Persija 34 22 5 7 71
4 Persebaya Surabaya 34 16 10 8 58
5 Bhayangkara FC 34 16 5 13 53
6 Malut United 34 15 8 11 53
7 Dewa United 34 16 5 13 53
8 Bali United 34 14 9 11 51
9 Arema FC 34 13 9 12 48
10 Persita 34 13 6 15 45
11 PSIM Yogyakarta 34 11 12 11 45
12 Persik Kediri 34 11 6 17 39
13 Persijap 34 9 9 16 36
14 Persepam Madura Utd 34 9 8 17 35
15 PSM Makassar 34 8 10 16 34
16 Persis Solo 34 8 10 16 34
17 Semen Padang 34 5 5 24 20
18 PSBS Biak Numfor 34 4 6 24 18
# TEAM MP GS GC +/- PTS
1 Pusamania Borneo 34 74 31 +43 79
2 Malut United 34 68 53 +15 53
3 Persija 34 65 29 +36 71
4 Persebaya Surabaya 34 61 35 +26 58
5 Persib Bandung 34 59 22 +37 79
6 Bali United 34 57 48 +9 51
7 Bhayangkara FC 34 53 45 +8 53
8 Arema FC 34 53 47 +6 48
9 Dewa United 34 44 37 +7 53
10 PSIM Yogyakarta 34 43 44 -1 45
11 Persik Kediri 34 42 61 -19 39
12 PSM Makassar 34 39 49 -10 34
13 Persis Solo 34 39 59 -20 34
14 Persita 34 38 37 +1 45
15 Persepam Madura Utd 34 37 54 -17 35
16 Persijap 34 31 45 -14 36
17 PSBS Biak Numfor 34 31 95 -64 18
18 Semen Padang 34 22 65 -43 20