Frigg vs Konnerud Statistics & Analysis

Sep 19, 2026 - 11:00
2 1.43
0 1.17
xG Accuracy: 62%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

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 No ✖ Incorrect
  • 1X2 Frigg Frigg ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 2-0 ✔ Correct

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%

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 22, 2026 (UTC)

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Back to Statistics
3. Division - Girone 1 3. Division - Girone 1Standings
# 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