Volda vs Orkla Statistics & Analysis

Oct 03, 2026 - 11:00
4 1.39
1 1.21
xG Accuracy: 46%
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 Over 2.5 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Volda Volda ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 4-1 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 27, 2026 · 01:09 UTC Snapshot ID: dp-11220713

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Volda win · Volda 4–1 Orkla
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 2
  • Fixture: Volda vs Orkla
  • Kickoff: 2026-10-03 11:00:00
  • 1X2 (model): Home 39.5% · Draw 29.5% · Away 31.0%
  • xG (showing): Volda 1.39 — Orkla 1.21 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.4%, 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 54.3% · No 45.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.3% · No 45.7%
  • Correct score (top bin): 1-1 (12.5%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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

Historical Recommendation

Historical Decision: AI–Market Conflict - 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

October 11, 2026 (UTC)

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Back to Statistics
3. Division - Girone 2 3. Division - Girone 2 — Standings
# TEAM MP W D L PTS
1 Volda 23 15 4 4 49
2 Strindheim 22 14 4 4 46
3 Melhus 22 11 5 6 38
4 Byåsen 23 11 4 8 37
5 Herd 23 9 5 9 32
6 Molde II 22 9 5 8 32
7 Rosenborg II 22 9 4 9 31
8 Nardo 22 9 2 11 29
9 Spjelkavik 23 8 4 11 28
10 NTNUI 23 7 7 9 28
11 Ranheim II 22 7 5 10 26
12 Kvik Trondheim 23 7 4 12 25
13 Orkla 23 5 5 13 20
14 Aalesund II 21 6 2 13 20
# TEAM MP GS GC +/- PTS
1 Molde II 22 61 69 -8 32
2 Volda 23 59 25 +34 49
3 Strindheim 22 58 30 +28 46
4 Ranheim II 22 58 71 -13 26
5 Melhus 22 52 28 +24 38
6 Rosenborg II 22 50 40 +10 31
7 Byåsen 23 50 43 +7 37
8 Nardo 22 50 47 +3 29
9 Herd 23 49 45 +4 32
10 Spjelkavik 23 42 50 -8 28
11 Orkla 23 40 63 -23 20
12 Aalesund II 21 38 62 -24 20
13 NTNUI 23 35 48 -13 28
14 Kvik Trondheim 23 33 54 -21 25