Statistics / Football / Indonesia. Liga 1 / Persib Bandung vs PSM Makassar

Persib Bandung vs PSM Makassar Statistics & Analysis

Persib Bandung Persib Bandung
Sep 06, 2026 - 12:00
3 1.55
1 1.05
xG Accuracy: 66%
PSM Makassar PSM Makassar
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Tracked markets vs full-time result

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Persib Bandung Persib Bandung ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 3-1 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Aug 31, 2026 · 01:35 UTC Snapshot ID: dp-6328550

Closing Odds 1.36
AI Fair Odds —
CLV +0.0%
Final Result Persib Bandung win · Persib Bandung 3–1 PSM Makassar
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), PSM Makassar (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on PSM Makassar (1X2) by about 13.1 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Persib Bandung (1X2) 47.3 69.7 -22.4
Draw (1X2) 28.5 19.3 +9.3
PSM Makassar (1X2) 24.1 11.0 +13.1
Over 2.5 goals 48.2 54.3 -6.1
Under 2.5 goals 51.8 45.7 +6.1
What this means

In plain terms: the model lands near 24.1% on PSM Makassar (1X2), while the closing snapshot implied about 11.0%. The difference — about 13.1 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Persib Bandung (1X2) 1.36 1.36 0.0
Draw (1X2) 4.92 4.92 0.0
PSM Makassar (1X2) 8.61 8.61 0.0
Over 2.5 goals 1.76 1.76 0.0
Under 2.5 goals 2.09 2.09 0.0

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Liga 1
  • Fixture: Persib Bandung vs PSM Makassar
  • Kickoff: 2026-09-06 12:00:00
  • 1X2 (model): Home 47.3% · Draw 28.5% · Away 24.1%
  • xG (showing): Persib Bandung 1.55 — PSM Makassar 1.05 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 52.8% · No 47.2%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 52.8% · No 47.2%
  • Correct score (top bin): 1-1 (12.1%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: Wait - No Primary Bet

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

  • 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%).

Last Updated

September 29, 2026 (UTC)

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Back to Statistics
Liga 1 Liga 1 — Standings
# TEAM MP W D L PTS
1 Dewa United 4 3 1 0 10
2 Persepam Madura Utd 3 3 0 0 9
3 Persija 3 3 0 0 9
4 Bali United 3 2 0 1 6
5 Persib Bandung 3 2 0 1 6
6 Pusamania Borneo 4 2 0 2 6
7 Arema FC 3 1 2 0 5
8 Bhayangkara FC 3 1 2 0 5
9 Persita 3 1 2 0 5
10 Persebaya Surabaya 3 1 2 0 5
11 Persik Kediri 3 1 1 1 4
12 PSM Makassar 3 0 2 1 2
13 Garudayaksa 3 0 2 1 2
14 PSIM Yogyakarta 3 0 1 2 1
15 PSS Sleman 3 0 0 3 0
16 Persijap 3 0 0 3 0
17 Malut United 3 0 1 2 -1
18 Adhyaksa 3 0 0 3 -2
# TEAM MP GS GC +/- PTS
1 Dewa United 4 8 4 +4 10
2 Arema FC 3 8 4 +4 5
3 Persepam Madura Utd 3 7 2 +5 9
4 Bali United 3 6 3 +3 6
5 Persib Bandung 3 6 4 +2 6
6 Persita 3 6 5 +1 5
7 PSM Makassar 3 6 8 -2 2
8 Bhayangkara FC 3 5 3 +2 5
9 Persija 3 4 1 +3 9
10 Persebaya Surabaya 3 3 2 +1 5
11 Persik Kediri 3 3 2 +1 4
12 Pusamania Borneo 4 3 4 -1 6
13 Malut United 3 3 5 -2 -1
14 PSS Sleman 3 3 7 -4 0
15 Garudayaksa 3 2 4 -2 2
16 PSIM Yogyakarta 3 2 4 -2 1
17 Persijap 3 1 5 -4 0
18 Adhyaksa 3 1 10 -9 -2