Predictions / Football / Japan. J2 League / Oita Trinita vs Iwaki

Prediction Audit: Oita Trinita vs Iwaki Prediction, Odds & AI Betting Tips

Oita Trinita Oita Trinita
Aug 22, 2026 - 10:00
4 1.11
1 1.49
xG Accuracy: 40%
Iwaki Iwaki

The model missed the final outcome (Oita Trinita win 4–1).

The model had projected Iwaki at 44.3%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

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 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Iwaki Oita Trinita ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-2, 0-2, 1-0 4-1 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Iwaki -4.7 pp

Outcome Model Closing Market Difference Signal
Oita Trinita 26.6% 22.1% +4.6 pp Aligned
Draw 29.0% 28.9% +0.1 pp Aligned
Iwaki 44.3% 49.0% -4.7 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the result was Oita Trinita win 4–1.

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 5 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (5 goals)
  • 1X2: model leaned Iwaki; match finished Oita Trinita

Market lesson

The full-time result was Oita Trinita win 4–1, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Aug 22, 2026 · 10:01 UTC Forecast generated
    • Model 1X2 · Oita Trinita 26.7% · Draw 29.0% · Iwaki 44.3%
    • xG · Oita Trinita 1.11 — Iwaki 1.49
  2. Aug 22, 2026 · 09:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · Oita Trinita 4.24 · Draw 3.24 · Iwaki 1.91
    • Implied 1X2 · Oita Trinita 22.1% · Draw 28.9% · Iwaki 49.0%
    • Bookmaker · Pinnacle
  3. Aug 22, 2026 · 10:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Oita Trinita 4.24 · Draw 3.24 · Iwaki 1.91
    • Implied 1X2 · Oita Trinita 22.1% · Draw 28.9% · Iwaki 49.0%
    • Bookmaker · Pinnacle
  4. Aug 22, 2026 · 10:00 UTC Kickoff
  5. FT Full-time result Oita Trinita win · 4–1
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 76/100
Betting Confidence 80/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 16, 2026 · 01:09 UTC Snapshot ID: dp-4213656

Closing Odds 1.91
AI Fair Odds —
CLV Pending
Final Result Oita Trinita win · Oita Trinita 4–1 Iwaki
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

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

  • League: J2 League
  • Fixture: Oita Trinita vs Iwaki
  • Kickoff: 2026-08-22 10:00:00
  • 1X2 (model): Home 26.7% · Draw 29.0% · Away 44.3%
  • xG (showing): Oita Trinita 1.11 — Iwaki 1.49 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • 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 53.5% · No 46.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.5% · No 46.5%
  • Correct score (top bin): 1-1 (12.3%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match 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

October 01, 2026 (UTC)

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J2 League J2 League — Standings
# TEAM MP W D L PTS
1 Vegalta Sendai 8 5 2 1 17
2 Omiya Ardija 8 4 4 0 16
3 Albirex Niigata 8 5 1 2 16
4 Shonan Bellmare 8 4 3 1 15
5 Kataller Toyama 8 4 2 2 14
6 Yokohama FC 8 4 2 2 14
7 Tokushima Vortis 8 4 1 3 13
8 Montedio Yamagata 8 4 0 4 12
9 Fujieda MYFC 8 3 3 2 12
10 Tegevajaro Miyazaki 8 3 2 3 11
11 Tochigi City 8 3 1 4 10
12 Blaublitz Akita 8 2 4 2 10
13 Jubilo Iwata 8 3 1 4 10
14 Vanraure Hachinohe 8 3 1 4 10
15 Iwaki 8 3 0 5 9
16 Oita Trinita 8 1 5 2 8
17 Sagan Tosu 8 2 2 4 8
18 Ventforet Kofu 8 2 1 5 7
19 Consadole Sapporo 8 1 2 5 5
20 Imabari 8 1 1 6 4
# TEAM MP GS GC +/- PTS
1 Omiya Ardija 8 16 7 +9 16
2 Kataller Toyama 8 16 8 +8 14
3 Yokohama FC 8 16 11 +5 14
4 Vegalta Sendai 8 15 7 +8 17
5 Tochigi City 8 14 13 +1 10
6 Fujieda MYFC 8 12 9 +3 12
7 Tegevajaro Miyazaki 8 12 12 0 11
8 Blaublitz Akita 8 11 10 +1 10
9 Albirex Niigata 8 11 12 -1 16
10 Iwaki 8 11 15 -4 9
11 Montedio Yamagata 8 10 6 +4 12
12 Jubilo Iwata 8 10 11 -1 10
13 Consadole Sapporo 8 10 17 -7 5
14 Shonan Bellmare 8 9 7 +2 15
15 Tokushima Vortis 8 8 8 0 13
16 Sagan Tosu 8 8 11 -3 8
17 Oita Trinita 8 7 6 +1 8
18 Imabari 8 7 17 -10 4
19 Ventforet Kofu 8 6 15 -9 7
20 Vanraure Hachinohe 8 5 12 -7 10
J2 League Japan. J2 League Predictions