Statistics / Football / Indonesia. Liga 1 / Persepam Madura Utd vs Bali United

Persepam Madura Utd vs Bali United Statistics & Analysis

May 05, 2026 - 08:30
2 1.45
0 1.25
xG Accuracy: 61%
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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 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Persepam Madura Utd Persepam Madura Utd ✔ Correct
  • Correct Score Insights 1-1 2-0 ✖ Incorrect

AI match briefing

AI Match Summary

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

  • League: Liga 1
  • Fixture: Persepam Madura Utd vs Bali United
  • Kickoff: 2026-05-05 12:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Persepam Madura Utd 1.45 — Bali United 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 51.4% · Implied: 40.0% · Probability edge: +11.4 pts · Est. EV: +22.3%
  • BTTS (model): Yes 48.6% · No 51.4%
  • Correct score (top bin): 1-1 (11.5%)

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

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

Best Bet + Reason

Primary pick from the decision engine: 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.

Only one modest +EV edge is highlighted here; size cautiously and re-check if odds move.

FAQ

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 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.

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.

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

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
Liga 1 Liga 1Standings
# TEAM MP W D L PTS
1 Pusamania Borneo 32 24 3 5 75
2 Persib Bandung 32 23 6 3 75
3 Persija 33 21 5 7 68
4 Persebaya Surabaya 33 15 10 8 55
5 Malut United 33 15 8 10 53
6 Dewa United 33 16 5 12 53
7 Bhayangkara FC 32 15 5 12 50
8 Bali United 32 12 9 11 45
9 Persita 33 13 6 14 45
10 Arema FC 33 12 9 12 45
11 PSIM Yogyakarta 32 10 12 10 42
12 Persik Kediri 33 11 6 16 39
13 PSM Makassar 32 8 10 14 34
14 Persijap 32 9 7 16 34
15 Persepam Madura Utd 32 8 8 16 32
16 Persis Solo 33 7 10 16 31
17 Semen Padang 33 5 5 23 20
18 PSBS Biak Numfor 33 4 6 23 18
# TEAM MP GS GC +/- PTS
1 Pusamania Borneo 32 67 30 +37 75
2 Malut United 33 67 46 +21 53
3 Persija 33 62 29 +33 68
4 Persib Bandung 32 57 21 +36 75
5 Persebaya Surabaya 33 56 35 +21 55
6 Bali United 32 52 47 +5 45
7 Arema FC 33 50 46 +4 45
8 Bhayangkara FC 32 45 41 +4 50
9 Dewa United 33 44 36 +8 53
10 Persik Kediri 33 42 56 -14 39
11 PSIM Yogyakarta 32 40 40 0 42
12 PSM Makassar 32 38 45 -7 34
13 Persita 33 37 34 +3 45
14 Persis Solo 33 36 58 -22 31
15 Persepam Madura Utd 32 34 52 -18 32
16 Persijap 32 31 45 -14 34
17 PSBS Biak Numfor 33 31 88 -57 18
18 Semen Padang 33 22 62 -40 20