Predictions / Football / Japan. J1 League / Tokyo Verdy vs JEF United Chiba

Prediction Audit: Tokyo Verdy vs JEF United Chiba Prediction, Odds & AI Betting Tips

Tokyo Verdy Tokyo Verdy
Sep 13, 2026 - 09:00
1 1.66
1 1.85
xG Accuracy: 66%
JEF United Chiba JEF United Chiba

The model missed the final outcome (Draw 1–1).

The model had projected JEF United Chiba at 37.3%, 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 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 JEF United Chiba Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-2, 2-1, 2-2, 0-1 1-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

The model rates JEF United Chiba considerably stronger than the closing betting market.

Largest probability gap: JEF United Chiba +9.5 pp

Outcome Model Closing Market Difference Signal
Tokyo Verdy 36.6% 43.2% -6.5 pp Market Higher
Draw 26.1% 29.0% -3.0 pp Aligned
JEF United Chiba 37.3% 27.8% +9.5 pp Model Higher

The statistical model estimates JEF United Chiba's win probability at 37.3%, compared with the closing market's implied probability of 27.8%, a difference of 9.5 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 result was Draw 1–1.

Market Assessment

The fair estimate shows a modest edge over current market pricing on JEF United Chiba.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)
  • 1X2: model leaned JEF United Chiba; match finished Draw

Market lesson

The closing market differed from the model on JEF United Chiba by 9.5 percentage points (27.8% vs model 37.3%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Sep 13, 2026 · 19:09 UTC Forecast generated
    • Model 1X2 · Tokyo Verdy 36.6% · Draw 26.1% · JEF United Chiba 37.3%
    • xG · Tokyo Verdy 1.66 — JEF United Chiba 1.85
  2. Sep 13, 2026 · 08:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Tokyo Verdy 2.24 · Draw 3.33 · JEF United Chiba 3.48
    • Implied 1X2 · Tokyo Verdy 43.2% · Draw 29.0% · JEF United Chiba 27.8%
    • Bookmaker · Pinnacle
  3. Sep 13, 2026 · 08:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Tokyo Verdy 2.24 · Draw 3.33 · JEF United Chiba 3.48
    • Implied 1X2 · Tokyo Verdy 43.2% · Draw 29.0% · JEF United Chiba 27.8%
    • Bookmaker · Pinnacle
  4. Sep 13, 2026 · 09:00 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 74/100 · High
  • Validation: Pass
Evidence ★★★★★
  • Statistical edge detected
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 18/100
Monitoring Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 00:55 UTC Snapshot ID: dp-7421162

Closing Odds 3.48
AI Fair Odds —
CLV Pending
Final Result Draw · Tokyo Verdy 1–1 JEF United Chiba
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: J1 League
  • Fixture: Tokyo Verdy vs JEF United Chiba
  • Kickoff: 2026-09-13 09:00:00
  • 1X2 (model): Home 35.0% · Draw 35.0% · Away 30.0%
  • xG (showing): Tokyo Verdy 1.66 — JEF United Chiba 1.85 (total xG ≈ 3.51)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: Monitor

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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J1 League J1 League — Standings
# TEAM MP W D L PTS
1 Vissel Kobe 8 6 1 1 19
2 Kashiwa Reysol 8 6 0 2 18
3 Sanfrecce Hiroshima 8 5 2 1 17
4 Machida Zelvia 8 5 2 1 17
5 FC Tokyo 8 5 2 1 17
6 Yokohama F. Marinos 8 4 2 2 14
7 Kawasaki Frontale 8 3 4 1 13
8 Kashima 8 4 1 3 13
9 Fagiano Okayama 8 4 1 3 13
10 Urawa 8 4 0 4 12
11 Cerezo Osaka 8 3 2 3 11
12 Shimizu S-pulse 8 3 1 4 10
13 Mito Hollyhock 8 2 3 3 9
14 Kyoto Sanga 8 2 2 4 8
15 V-varen Nagasaki 8 2 2 4 8
16 Gamba Osaka 8 1 3 4 6
17 Nagoya Grampus 8 2 0 6 6
18 Avispa Fukuoka 8 1 1 6 4
19 Tokyo Verdy 8 0 4 4 4
20 JEF United Chiba 8 1 1 6 4
# TEAM MP GS GC +/- PTS
1 Machida Zelvia 8 21 10 +11 17
2 Sanfrecce Hiroshima 8 20 6 +14 17
3 Kashiwa Reysol 8 17 12 +5 18
4 Kashima 8 17 16 +1 13
5 Kawasaki Frontale 8 16 12 +4 13
6 Urawa 8 16 18 -2 12
7 FC Tokyo 8 14 8 +6 17
8 Yokohama F. Marinos 8 13 9 +4 14
9 Vissel Kobe 8 12 5 +7 19
10 Fagiano Okayama 8 11 10 +1 13
11 Mito Hollyhock 8 11 11 0 9
12 Kyoto Sanga 8 11 15 -4 8
13 V-varen Nagasaki 8 10 15 -5 8
14 Avispa Fukuoka 8 9 12 -3 4
15 Gamba Osaka 8 8 14 -6 6
16 Cerezo Osaka 8 7 12 -5 11
17 Nagoya Grampus 8 7 14 -7 6
18 JEF United Chiba 8 7 18 -11 4
19 Shimizu S-pulse 8 6 8 -2 10
20 Tokyo Verdy 8 4 12 -8 4
# TEAM MP xG xGC +/- PTS
1 V-varen Nagasaki 8 3.7 1.7 +2.0 8
2 Sanfrecce Hiroshima 8 2.2 0.6 +1.6 17
3 Yokohama F. Marinos 8 3.0 1.5 +1.5 14
4 Vissel Kobe 8 2.3 0.9 +1.4 19
5 FC Tokyo 8 3.0 1.7 +1.3 17
6 Cerezo Osaka 8 1.8 1.1 +0.7 11
7 Urawa 8 1.9 1.4 +0.5 12
8 Fagiano Okayama 8 1.3 0.8 +0.5 13
9 Mito Hollyhock 8 1.6 1.3 +0.3 9
10 Kashima 8 1.3 1.6 -0.3 13
11 Avispa Fukuoka 8 1.4 1.9 -0.5 4
12 JEF United Chiba 8 0.8 1.3 -0.5 4
13 Kashiwa Reysol 8 1.1 1.8 -0.7 18
14 Shimizu S-pulse 8 1.7 3.0 -1.3 10
15 Tokyo Verdy 8 0.9 2.3 -1.4 4
16 Kyoto Sanga 8 1.5 3.0 -1.5 8
17 Nagoya Grampus 8 0.6 2.2 -1.6 6
18 Gamba Osaka 8 1.7 3.7 -2.0 6
19 Machida Zelvia 8 — — — 17
20 Kawasaki Frontale 8 — — — 13