Predictions / Football / Japan. J2 League / Kataller Toyama vs Imabari

Prediction Audit: Kataller Toyama vs Imabari Prediction, Odds & AI Betting Tips

Aug 22, 2026 - 09:30
4 1.33
0 1.27
xG Accuracy: 34%

AI correctly predicted the Kataller Toyama win.

The match finished 4–0, validating the model's directional assessment.

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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Kataller Toyama Kataller Toyama ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 4-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Kataller Toyama higher than the statistical model.

Largest probability gap: Kataller Toyama -13.9 pp

Outcome Model Closing Market Difference Signal
Kataller Toyama 36.6% 50.5% -13.9 pp Market Higher
Draw 29.6% 26.8% +2.9 pp Aligned
Imabari 33.8% 22.7% +11.1 pp Model Edge

The closing market estimates Kataller Toyama's win probability at 50.5%, compared with the model's estimate of 36.6%, a difference of 13.9 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

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 model's directional lean matched the result (Kataller Toyama win 4–0).

Market Assessment

The market is materially more optimistic about Kataller Toyama than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Kataller Toyama higher (50.5% vs model 36.6%, 13.9 pp), but the model's lean was validated (Kataller Toyama win 4–0).

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Prediction Timeline

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

  1. Aug 22, 2026 · 09:29 UTC Forecast generated
    • Model 1X2 · Kataller Toyama 36.6% · Draw 29.6% · Imabari 33.8%
    • xG · Kataller Toyama 1.33 — Imabari 1.27
  2. Aug 22, 2026 · 09:01 UTC Opening odds snapshot PRE30
    • 1X2 odds · Kataller Toyama 1.85 · Draw 3.49 · Imabari 4.12
    • Implied 1X2 · Kataller Toyama 50.5% · Draw 26.8% · Imabari 22.7%
    • Bookmaker · Pinnacle
  3. Aug 22, 2026 · 09:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Kataller Toyama 1.85 · Draw 3.49 · Imabari 4.12
    • Implied 1X2 · Kataller Toyama 50.5% · Draw 26.8% · Imabari 22.7%
    • Bookmaker · Pinnacle
  4. Aug 22, 2026 · 09:30 UTC Kickoff
  5. FT Full-time result Kataller Toyama win · 4–0
  6. FT Prediction validated Directional lean matched full-time result
  7. Archived Prediction review

Historical Snapshot

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

Historical verdict: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 56/100 · Moderate
  • Validation: Warning
  • Large market gap (14 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 30/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 16, 2026 · 01:06 UTC Snapshot ID: dp-4212932

Closing Odds 1.85
AI Fair Odds —
CLV Pending
Final Result Kataller Toyama win · Kataller Toyama 4–0 Imabari
Prediction ✔ Correct
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

Pre-match snapshot for this fixture.

  • League: J2 League
  • Fixture: Kataller Toyama vs Imabari
  • Kickoff: 2026-08-22 09:30:00
  • 1X2 (model): Home 36.6% · Draw 29.6% · Away 33.8%
  • xG (showing): Kataller Toyama 1.33 — Imabari 1.27 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.1%, still below the +2.0% minimum for a headline / default stake (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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

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: Monitor

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 30, 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