Prediction Audit: Frigg vs Konnerud Prediction, Odds & AI Betting Tips

Sep 19, 2026 - 11:00
2 1.43
0 1.17
xG Accuracy: 62%

AI correctly predicted the Frigg win.

The match finished 2–0, 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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Frigg Frigg ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 2-0 ✔ Correct

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile
  • Exact score 2–0 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No

Market lesson

The model's directional lean matched the full-time result (Frigg win 2–0).

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Prediction Timeline

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

  1. Sep 14, 2026 · 00:57 UTC Forecast generated
    • xG · Frigg 1.43 — Konnerud 1.17
  2. Sep 19, 2026 · 11:00 UTC Kickoff
  3. FT Full-time result Frigg win · 2–0
  4. FT Prediction validated Directional lean matched full-time result
  5. 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 Validated
Pre-match metrics (historical context)
Prediction Reliability 57/100 · Moderate
  • Validation: Pending
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation pending
Market Compatibility 100/100
Betting Confidence 59/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 00:57 UTC Snapshot ID: dp-8658515

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Frigg win · Frigg 2–0 Konnerud
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

Quick read on how the model reads this matchup.

  • League: 3. Division - Girone 1
  • Fixture: Frigg vs Konnerud
  • Kickoff: 2026-09-19 11:00:00
  • 1X2 (model): Home 41.4% · Draw 29.4% · Away 29.3%
  • xG (showing): Frigg 1.43 — Konnerud 1.17 (total xG ≈ 2.6)
  • 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): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.1% · No 45.9%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.1% · No 45.9%
  • Correct score (top bin): 1-1 (12.4%)

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: No Primary Bet

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 25, 2026 (UTC)

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3. Division - Girone 1 3. Division - Girone 1 — Standings
# TEAM MP W D L PTS
1 Asker 18 16 1 1 49
2 Gamle Oslo 19 13 1 5 40
3 Heming 20 12 3 5 39
4 Bærum 20 11 2 7 35
5 Frigg 19 9 5 5 32
6 Vålerenga II 20 10 1 9 31
7 IF Ready 19 8 6 5 30
8 Union Carl Berner 19 9 1 9 28
9 Nordstrand 20 6 2 12 20
10 Ullern 20 6 2 12 20
11 KFUM II 18 6 2 10 20
12 Lokomotiv Oslo 20 6 2 12 20
13 Konnerud 20 5 1 14 16
14 SF Grei 20 4 1 15 13
# TEAM MP GS GC +/- PTS
1 Asker 18 68 24 +44 49
2 Gamle Oslo 19 66 35 +31 40
3 Bærum 20 61 37 +24 35
4 Heming 20 50 31 +19 39
5 Frigg 19 47 38 +9 32
6 IF Ready 19 46 37 +9 30
7 Vålerenga II 20 45 58 -13 31
8 Ullern 20 39 54 -15 20
9 KFUM II 18 38 53 -15 20
10 Nordstrand 20 36 47 -11 20
11 Lokomotiv Oslo 20 35 60 -25 20
12 SF Grei 20 33 67 -34 13
13 Union Carl Berner 19 29 28 +1 28
14 Konnerud 20 29 53 -24 16