Prediction Audit: TP-47 vs SJK-juniorit Prediction, Odds & AI Betting Tips

Sep 27, 2026 - 13:00
0 1.24
4 1.36
xG Accuracy: 34%

AI correctly predicted the SJK-juniorit win.

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

Tracked markets vs full-time result

Prediction grade B-

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 No ✔ Correct
  • 1X2 SJK-juniorit SJK-juniorit ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-4 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices TP-47 higher than the statistical model.

Largest probability gap: TP-47 -12.4 pp

Outcome Model Closing Market Difference Signal
TP-47 32.4% 44.8% -12.4 pp Market Higher
Draw 29.6% 22.2% +7.4 pp Model Higher
SJK-juniorit 38.0% 33.0% +5.0 pp Aligned

The closing market estimates TP-47's win probability at 44.8%, compared with the model's estimate of 32.4%, a difference of 12.4 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: PRE10.

After full time, the model's directional lean matched the result (SJK-juniorit win 0–4).

Market Assessment

The market is materially more optimistic about TP-47 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
  • Both Teams To Score (No) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced SJK-juniorit higher (50.4% vs model 38.0%, 12.4 pp), but the model's lean was validated (SJK-juniorit win 0–4).

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Prediction Timeline

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

  1. Sep 27, 2026 · 13:01 UTC Forecast generated
    • Model 1X2 · TP-47 32.4% · Draw 29.6% · SJK-juniorit 38.0%
    • xG · TP-47 1.24 — SJK-juniorit 1.36
  2. Sep 27, 2026 · 12:44 UTC Opening odds snapshot PRE30
    • 1X2 odds · TP-47 2.02 · Draw 4.07 · SJK-juniorit 2.74
    • Implied 1X2 · TP-47 44.8% · Draw 22.2% · SJK-juniorit 33.0%
    • Bookmaker · Pinnacle
  3. Sep 27, 2026 · 13:01 UTC Closing snapshot recorded PRE10
    • 1X2 odds · TP-47 2.02 · Draw 4.07 · SJK-juniorit 2.74
    • Implied 1X2 · TP-47 44.8% · Draw 22.2% · SJK-juniorit 33.0%
    • Bookmaker · Pinnacle
  4. Sep 27, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result SJK-juniorit win · 0–4
  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 57/100 · Moderate
  • Validation: Warning
  • Large market gap (12 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 13/100
Monitoring Confidence 20/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 01:40 UTC Snapshot ID: dp-10096193

Closing Odds 2.02
AI Fair Odds —
CLV Pending
Final Result SJK-juniorit win · TP-47 0–4 SJK-juniorit
Prediction ✔ Correct
Decision Grade B-

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: Kakkonen - Lohko C
  • Fixture: TP-47 vs SJK-juniorit
  • Kickoff: 2026-09-27 13:00:00
  • 1X2 (model): Home 32.4% · Draw 29.6% · Away 38.0%
  • xG (showing): TP-47 1.24 — SJK-juniorit 1.36 (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: 29.2% · Probability edge: +22.6 pts · Est. EV: +68.3%
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Early match state can move realised goals away from pre-kick projections.

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 28, 2026 (UTC)

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Kakkonen - Lohko C Kakkonen - Lohko C — Standings
# TEAM MP W D L PTS
1 Huima / Urho 18 11 3 4 36
2 GBK 18 10 2 6 32
3 JBK 18 10 1 7 31
4 VPS II 18 7 4 7 25
5 Jaro 2 18 8 1 9 25
6 Kraft 18 7 2 9 23
7 TP-47 18 6 5 7 23
8 Vaajakoski 18 6 3 9 21
9 JS Hercules 18 6 3 9 21
10 SJK-juniorit 18 5 4 9 19
# TEAM MP GS GC +/- PTS
1 Huima / Urho 18 50 26 +24 36
2 Kraft 18 50 45 +5 23
3 VPS II 18 47 36 +11 25
4 GBK 18 43 33 +10 32
5 JBK 18 37 24 +13 31
6 Vaajakoski 18 34 44 -10 21
7 Jaro 2 18 33 54 -21 25
8 JS Hercules 18 31 42 -11 21
9 TP-47 18 28 35 -7 23
10 SJK-juniorit 18 27 41 -14 19
Kakkonen - Lohko C Finland. Kakkonen - Lohko C Predictions