Predictions / Football / Indonesia. Liga 1 / Arema FC vs PSIM Yogyakarta

Arema FC vs PSIM Yogyakarta Prediction, Odds & AI Betting Tips

Arema FC Arema FC
May 23, 2026 - 12:00
1.45
1.25
42% 26% 33%
PSIM Yogyakarta PSIM Yogyakarta
Betting Primary Pick (highest +EV)
Under 2.5 — Value
EV 11.2% Model 49.4%
Not a dominant outcome (model probability is below 50% on this leg).
Steam vs. value
Market momentum is strong, but current odds may already be over-adjusted. Steam detected — model value on this line may be priced out.
This match appears on the market-movement board for aggressive line repricing — not because 1X2 is currently a positive-EV bet.
🔥 Strong steam · PSIM Yogyakarta ↑ +21.6% · 12/13 · 97 A+
Market steam Strong
Current EV Negative
Closing line pressure High
Value remaining Limited
Why The model prices Under 2.5 goals about 6.3 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 PSIM Yogyakarta (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 Under 2.5 goals by about 6.3 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Arema FC (1X2) 41.8 46.8 -5.0
Draw (1X2) 25.7 24.9 +0.8
PSIM Yogyakarta (1X2) 32.6 28.3 +4.3
Over 2.5 goals 50.6 56.9 -6.3
Under 2.5 goals 49.4 43.1 +6.3
What this means

In plain terms: the model lands near 49.4% on Under 2.5 goals, while the closing snapshot implied about 43.1%. The difference — about 6.3 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)
Arema FC (1X2) 1.97 1.97 0.0
Draw (1X2) 3.7 3.7 0.0
PSIM Yogyakarta (1X2) 3.26 3.26 0.0
Over 2.5 goals 1.63 1.63 0.0
Under 2.5 goals 2.15 2.15 0.0
1X2 Poor value
Arema FC · Model 41.8%
implied 46.8%
Main consensus market · EV: -13.3%
Best available bookmaker line: +-3.9% EV
Some outlier bookmaker prices may still show small theoretical value vs. the consensus line above.
Both Teams To Score Poor value
Yes 59.5% · No 40.5%
EV Yes -6.58% · EV No -4.82%
Value lean: BTTS No
Correct Score Insights Longshot / fun
Most Likely
1-1
Probability 12.2%
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: 6.0 / 10
  • Primary line identified (+1.0)
  • Primary EV above 10% (+1.0)
  • Max 1X2 prob under 50% (no dominant 1X2) (−1.0)
O/U 2.5: EV Over -13.98% · EV Under 11.15% (11 book pairs)
BTTS: EV Yes -6.58% · EV No -4.82%
Should you bet on this match? Only where +EV is shown; always compare with your own limits.
OddsGPT Decision Engine v2.1.0(EV + Market Structure + Risk Adjustment) Check Odds at 1xBet

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: Arema FC vs PSIM Yogyakarta
  • Kickoff: 2026-05-23 12:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Arema FC 1.45 — PSIM Yogyakarta 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 49.4% · Implied: 43.5% · Probability edge: +5.9 pts · Est. EV: +11.2%
  • BTTS (model): Yes 59.5% · No 40.5%
  • Correct score (top bin): 1-1 (12.2%)

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

The engine’s headline primary is: Under 2.5 goals.

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

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

FAQ

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.

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.

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 1 — Standings
# 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
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