Predictions / Football / Indonesia. Liga 1 / Persita vs Persis Solo

Persita vs Persis Solo Prediction, Odds & AI Betting Tips

May 23, 2026 - 12:00
1.45
1.25
42% 26% 33%

Final betting verdict

Different markets price efficiency differently — 1X2 can be a pass while goals markets still show edge.

  • Possible value on 1X2: Persita (+8.8% EV at best odds)
  • Possible value: Under 2.5 (+19.7% EV at best odds)
  • Possible value: BTTS No (+25%+ EV at best odds)
Moderate conviction (6.5/10) — one selective line, not a multi-market parlay.
Betting Primary Pick (highest +EV)
BTTS No — Value
EV +25%+ Model 65.3%
Secondary (balanced value): Under 2.5 (EV +19.7%) — 54.4% Model
Lower EV than primary, but with higher model probability (more “stable” when shown).
Why The model prices Persita (1X2) about 23.0 percentage points above closing implied — the main structural read vs. the line.

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 Persita (1X2), Draw (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 Persita (1X2) by about 23.0 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Persita (1X2) 41.8 18.8 +23.0
Draw (1X2) 25.7 23.3 +2.3
Persis Solo (1X2) 32.6 57.9 -25.3
Over 2.5 goals 45.6 55.5 -9.9
Under 2.5 goals 54.4 44.5 +9.9
What this means

In plain terms: the model lands near 41.8% on Persita (1X2), while the closing snapshot implied about 18.8%. The difference — about 23.0 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)
Persita (1X2) 4.99 4.99 0.0
Draw (1X2) 4.02 4.02 0.0
Persis Solo (1X2) 1.62 1.62 0.0
Over 2.5 goals 1.7 1.7 0.0
Under 2.5 goals 2.12 2.12 0.0
Over / Under 2.5 Best value (+EV)
Over 2.5 45.6% · Under 2.5 54.4%
EV Over -22.5% · EV Under +19.7%
Value lean: Under 2.5
1X2 Best value (+EV)
Persita · Model 41.8%
implied 18.8%
Main consensus market · EV: +8.8%
Correct Score Insights Longshot / fun
Most Likely
1-1
Probability 12.5%
Correct score is high-variance — small stakes for fun only.
Betting decision (model vs. market EV)
Value opportunity — At least one market shows estimated +EV at current best decimal odds (threshold: 2.0%).
Decision strength: 6.5 / 10
  • Primary line identified (+1.0)
  • Primary EV above 10% (+1.0)
  • Max 1X2 prob under 50% (no dominant 1X2) (−1.0)
  • Two or more valid +EV lines at threshold (+0.5)
O/U 2.5: EV Over -22.5% · EV Under +19.7% (10 book pairs)
BTTS: EV Yes -40.7% · EV No +25%+
Should you bet on this match? Only where +EV is shown; always compare with your own limits.

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: Persita vs Persis Solo
  • Kickoff: 2026-05-23 12:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Persita 1.45 — Persis Solo 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 65.3% · Implied: 44.9% · Probability edge: +20.4 pts · Est. EV: +43.7%
  • BTTS (model): Yes 34.7% · No 65.3%
  • Correct score (top bin): 1-1 (12.5%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

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

Best Bet + Reason

The engine’s headline primary is: BTTS No.

We separate probability edge (model minus implied, in points of probability) from estimated EV (economic edge at the best price shown on the page).

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

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 24, 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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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