Predictions / Football / Japan. J3 League / Renofa Yamaguchi vs Sagamihara

Prediction Audit: Renofa Yamaguchi vs Sagamihara Prediction, Odds & AI Betting Tips

Renofa Yamaguchi Renofa Yamaguchi
Sep 26, 2026 - 05:00
2 1.39
2 1.21
xG Accuracy: 68%
Sagamihara Sagamihara

The model missed the final outcome (Draw 2–2).

The model had projected Renofa Yamaguchi at 39.5%, 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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Renofa Yamaguchi Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-2 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Renofa Yamaguchi higher than the statistical model.

Largest probability gap: Renofa Yamaguchi -5.9 pp

Outcome Model Closing Market Difference Signal
Renofa Yamaguchi 39.5% 45.4% -5.9 pp Market Higher
Draw 29.5% 27.0% +2.5 pp Aligned
Sagamihara 31.0% 27.6% +3.4 pp Aligned

The closing market estimates Renofa Yamaguchi's win probability at 45.4%, compared with the model's estimate of 39.5%, a difference of 5.9 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 result was Draw 2–2.

Market Assessment

The market and model broadly agree on Renofa Yamaguchi. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

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

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

Market lesson

The closing market differed from the model on Renofa Yamaguchi by 5.9 percentage points (45.4% vs model 39.5%) — 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 26, 2026 · 04:59 UTC Forecast generated
    • Model 1X2 · Renofa Yamaguchi 39.5% · Draw 29.5% · Sagamihara 31.0%
    • xG · Renofa Yamaguchi 1.39 — Sagamihara 1.21
  2. Sep 26, 2026 · 04:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Renofa Yamaguchi 2.02 · Draw 3.40 · Sagamihara 3.32
    • Implied 1X2 · Renofa Yamaguchi 45.4% · Draw 27.0% · Sagamihara 27.6%
    • Bookmaker · Pinnacle
  3. Sep 26, 2026 · 04:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Renofa Yamaguchi 2.02 · Draw 3.40 · Sagamihara 3.32
    • Implied 1X2 · Renofa Yamaguchi 45.4% · Draw 27.0% · Sagamihara 27.6%
    • Bookmaker · Pinnacle
  4. Sep 26, 2026 · 05:00 UTC Kickoff
  5. FT Full-time result Draw · 2–2
  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 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 70/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 00:36 UTC Snapshot ID: dp-10076416

Closing Odds 2.02
AI Fair Odds —
CLV Pending
Final Result Draw · Renofa Yamaguchi 2–2 Sagamihara
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

Pre-match snapshot for this fixture.

  • League: J3 League
  • Fixture: Renofa Yamaguchi vs Sagamihara
  • Kickoff: 2026-09-26 05:00:00
  • 1X2 (model): Home 39.5% · Draw 29.5% · Away 31.0%
  • xG (showing): Renofa Yamaguchi 1.39 — Sagamihara 1.21 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 48.4% · Probability edge: +3.4 pts · Est. EV: +3.1%
  • BTTS (model): Yes 54.3% · No 45.7%
  • Correct score (top bin): 1-1 (12.5%)

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.

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

September 30, 2026 (UTC)

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J3 League J3 League — Standings
# TEAM MP W D L PTS
1 Kagoshima United 8 6 2 0 20
2 Ehime FC 8 5 2 1 17
3 Osaka 8 4 4 0 16
4 Renofa Yamaguchi 8 4 2 2 14
5 Nara Club 8 4 2 2 14
6 FC Gifu 8 4 1 3 13
7 Roasso Kumamoto 8 3 4 1 13
8 Sagamihara 8 3 3 2 12
9 Biwako Shiga 8 4 0 4 12
10 FC Ryukyu 8 3 2 3 11
11 Parceiro Nagano 8 3 2 3 11
12 Kanazawa 8 3 1 4 10
13 Gainare Tottori 8 3 1 4 10
14 Tochigi SC 8 2 3 3 9
15 Matsumoto Yamaga 8 1 5 2 8
16 Fukushima United 8 2 1 5 7
17 Kitakyushu 8 1 4 3 7
18 Thespakusatsu Gunma 8 2 0 6 6
19 Kochi United 8 1 2 5 5
20 Kamatamare Sanuki 8 1 1 6 4
# TEAM MP GS GC +/- PTS
1 FC Gifu 8 19 8 +11 13
2 Ehime FC 8 19 9 +10 17
3 Nara Club 8 18 16 +2 14
4 Osaka 8 17 7 +10 16
5 Kagoshima United 8 16 8 +8 20
6 Fukushima United 8 16 20 -4 7
7 Sagamihara 8 14 10 +4 12
8 Kanazawa 8 14 13 +1 10
9 Biwako Shiga 8 14 14 0 12
10 Renofa Yamaguchi 8 11 7 +4 14
11 Parceiro Nagano 8 11 12 -1 11
12 Tochigi SC 8 11 14 -3 9
13 Gainare Tottori 8 11 18 -7 10
14 FC Ryukyu 8 10 10 0 11
15 Kitakyushu 8 10 16 -6 7
16 Kamatamare Sanuki 8 10 17 -7 4
17 Matsumoto Yamaga 8 8 10 -2 8
18 Roasso Kumamoto 8 7 4 +3 13
19 Thespakusatsu Gunma 8 7 15 -8 6
20 Kochi United 8 3 18 -15 5
J3 League Japan. J3 League Predictions