Predictions / Football / Finland. Ykkösliiga / PK-35 vs Haka

Prediction Audit: PK-35 vs Haka Prediction, Odds & AI Betting Tips

PK-35 PK-35
Jul 31, 2026 - 16:00
1 1.37
4 1.23
xG Accuracy: 42%
Haka Haka

The model missed the final outcome (Haka win 1–4).

The model had projected PK-35 at 38.5%, 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 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 PK-35 Haka ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-4 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: PK-35 +4.0 pp

Outcome Model Closing Market Difference Signal
PK-35 38.5% 34.5% +4.0 pp Aligned
Draw 29.6% 30.6% -1.0 pp Aligned
Haka 31.9% 35.0% -3.0 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 Haka win 1–4.

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 5 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (5 goals)
  • 1X2: model leaned PK-35; match finished Haka

Market lesson

The full-time result was Haka win 1–4, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. Jul 31, 2026 · 16:00 UTC Forecast generated
    • Model 1X2 · PK-35 38.5% · Draw 29.6% · Haka 31.9%
    • xG · PK-35 1.37 — Haka 1.23
  2. Jul 31, 2026 · 15:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · PK-35 2.77 · Draw 3.12 · Haka 2.73
    • Implied 1X2 · PK-35 34.5% · Draw 30.6% · Haka 35.0%
    • Bookmaker · Pinnacle
  3. Jul 31, 2026 · 15:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · PK-35 2.77 · Draw 3.12 · Haka 2.73
    • Implied 1X2 · PK-35 34.5% · Draw 30.6% · Haka 35.0%
    • Bookmaker · Pinnacle
  4. Jul 31, 2026 · 16:00 UTC Kickoff
  5. FT Full-time result Haka win · 1–4
  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 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 27/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 25, 2026 · 02:58 UTC Snapshot ID: dp-1672315

Closing Odds 2.77
AI Fair Odds —
CLV Pending
Final Result Haka win · PK-35 1–4 Haka
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: Ykkösliiga
  • Fixture: PK-35 vs Haka
  • Kickoff: 2026-07-31 16:00:00
  • 1X2 (model): Home 38.5% · Draw 29.6% · Away 31.9%
  • xG (showing): PK-35 1.37 — Haka 1.23 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +0.1%, 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 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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: 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 28, 2026 (UTC)

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Ykkösliiga Ykkösliiga — Standings
# TEAM MP W D L PTS
1 Kooteepee 25 18 4 3 58
2 PK-35 24 14 6 4 48
3 Haka 25 13 5 7 44
4 JIPPO 24 11 7 6 40
5 JäPS 24 11 2 11 35
6 MP 25 8 5 12 29
7 EIF 24 8 4 12 28
8 KäPa 25 6 6 13 24
9 Klubi-04 24 4 8 12 20
10 SJK Akatemia 24 2 7 15 13
# TEAM MP GS GC +/- PTS
1 Haka 25 47 29 +18 44
2 Kooteepee 25 45 22 +23 58
3 PK-35 24 41 18 +23 48
4 JIPPO 24 32 21 +11 40
5 KäPa 25 30 45 -15 24
6 EIF 24 28 36 -8 28
7 Klubi-04 24 28 36 -8 20
8 MP 25 27 35 -8 29
9 JäPS 24 22 34 -12 35
10 SJK Akatemia 24 16 40 -24 13