Statistics / Football / Indonesia. Liga 1 / Malut United vs Persita

Malut United vs Persita Statistics & Analysis

May 16, 2026 - 12:00
1 1.45
1 1.25
xG Accuracy: 82%
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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 Yes ✖ Incorrect
  • 1X2 Malut United Draw ✖ Incorrect
  • Correct Score Insights 1-1 1-1 ✔ Correct

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Liga 1
  • Fixture: Malut United vs Persita
  • Kickoff: 2026-05-16 12:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Malut United 1.45 — Persita 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 55.2% · Implied: 42.0% · Probability edge: +13.2 pts · Est. EV: +27.0%
  • BTTS (model): Yes 44.8% · No 55.2%
  • Correct score (top bin): 1-1 (11.8%)

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

Correct score remains high-variance even when a line is most likely on paper.

Best Bet + Reason

Primary angle highlighted on the page: 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.

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

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.

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.

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 18, 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 Persib Bandung 33 24 6 3 78
2 Pusamania Borneo 33 24 4 5 76
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 33 15 5 13 50
8 Bali United 33 13 9 11 48
9 Arema FC 33 12 9 12 45
10 Persita 33 13 6 14 45
11 PSIM Yogyakarta 33 11 12 10 45
12 Persik Kediri 33 11 6 16 39
13 Persijap 33 9 8 16 35
14 PSM Makassar 33 8 10 15 34
15 Persepam Madura Utd 33 8 8 17 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 33 67 30 +37 76
2 Malut United 33 67 46 +21 53
3 Persija 33 62 29 +33 68
4 Persib Bandung 33 59 22 +37 78
5 Persebaya Surabaya 33 56 35 +21 55
6 Bali United 33 56 48 +8 48
7 Arema FC 33 50 46 +4 45
8 Bhayangkara FC 33 46 45 +1 50
9 Dewa United 33 44 36 +8 53
10 PSIM Yogyakarta 33 42 41 +1 45
11 Persik Kediri 33 42 56 -14 39
12 PSM Makassar 33 39 47 -8 34
13 Persita 33 37 34 +3 45
14 Persis Solo 33 36 58 -22 31
15 Persepam Madura Utd 33 35 54 -19 32
16 Persijap 33 31 45 -14 35
17 PSBS Biak Numfor 33 31 88 -57 18
18 Semen Padang 33 22 62 -40 20