The model missed the final outcome (Draw 1–1).
The model had projected Vegalta Sendai at 38.0%, but the full-time result went the other way.
Tracked markets vs full-time result
Each row compares the pre-match model lean to the full-time result.
- Market Prediction Result Outcome
- Over / Under 2.5 Under 2.5 Under 2.5 (2 goals) ✔ Correct
- Both Teams To Score BTTS Yes Yes ✔ Correct
- 1X2 Vegalta Sendai Draw ✖ Incorrect
- Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-1 ✔ Correct
Model vs Closing Market
| Outcome | Model | Closing Market | Difference | Signal |
|---|---|---|---|---|
| Vegalta Sendai | 38.0% | 48.8% | -10.8 pp | Market Higher |
| Draw | 29.6% | 26.9% | +2.7 pp | Aligned |
| Consadole Sapporo | 32.4% | 24.3% | +8.1 pp | Model Higher |
The closing market estimates Vegalta Sendai's win probability at 48.8%, compared with the model's estimate of 38.0%, a difference of 10.8 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 1–1.
Market Assessment
The market is materially more optimistic about Vegalta Sendai 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
- Both Teams To Score (Yes) matched the full-time result
- Under 2.5 goals aligned with the xG profile
- Exact score 1–1 fell within the model's highlighted bins
What failed
- 1X2: model leaned Vegalta Sendai; match finished Draw
Market lesson
The closing market differed from the model on Vegalta Sendai by 10.8 percentage points (48.8% vs model 38.0%) — in this case the market view proved closer.
Prediction Timeline
How this prediction moved from forecast to full-time review.
-
Sep 13, 2026 · 09:00 UTC Forecast generated
- Model 1X2 · Vegalta Sendai 38.0% · Draw 29.6% · Consadole Sapporo 32.4%
- xG · Vegalta Sendai 1.36 — Consadole Sapporo 1.24
-
Sep 13, 2026 · 08:29 UTC Opening odds snapshot PRE30
- 1X2 odds · Vegalta Sendai 1.92 · Draw 3.48 · Consadole Sapporo 3.86
- Implied 1X2 · Vegalta Sendai 48.8% · Draw 26.9% · Consadole Sapporo 24.3%
- Bookmaker · Pinnacle
-
Sep 13, 2026 · 09:00 UTC Closing snapshot recorded PRE1
- 1X2 odds · Vegalta Sendai 1.92 · Draw 3.48 · Consadole Sapporo 3.86
- Implied 1X2 · Vegalta Sendai 48.8% · Draw 26.9% · Consadole Sapporo 24.3%
- Bookmaker · Pinnacle
-
Sep 13, 2026 · 09:00 UTC Kickoff
-
FT Full-time result Draw · 1–1
-
FT Prediction missed 1X2 lean did not match full-time result
-
Archived Prediction review
Historical Snapshot
Frozen at kickoff — the model output as it stood before the match started.
Pre-match metrics (historical context)
- Validation: Warning
- Large market gap (11 pp)
- No strong statistical edge
- Market has already priced much of the edge
- Validation warning
Validation Report
Immutable SnapshotModel 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.
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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 |