Follo vs Kjelsås Statistics & Analysis

Jun 12, 2026 - 16:00
1 1.22
4 1.38
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 No Yes ✖ Incorrect
  • 1X2 Kjelsås Kjelsås ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-4 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Aug 04, 2026 · 11:38 UTC Snapshot ID: dp-2985696

Closing Odds 1.67
AI Fair Odds —
CLV +0.0%
Final Result Kjelsås win · Follo 1–4 Kjelsås
Prediction ✔ Correct
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Follo (1X2), Draw (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Under 2.5 goals by about 14.1 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Follo (1X2) 31.5 21.6 +9.9
Draw (1X2) 29.5 22.9 +6.6
Kjelsås (1X2) 39.0 55.5 -16.5
Over 2.5 goals 48.2 62.3 -14.1
Under 2.5 goals 51.8 37.7 +14.1
What this means

In plain terms: the model lands near 51.8% on Under 2.5 goals, while the closing snapshot implied about 37.7%. The difference — about 14.1 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Follo (1X2) 4.3 4.3 0.0
Draw (1X2) 4.04 4.04 0.0
Kjelsås (1X2) 1.67 1.67 0.0
Over 2.5 goals 1.5 1.5 0.0
Under 2.5 goals 2.48 2.48 0.0

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: 2. Division - Group 2
  • Fixture: Follo vs Kjelsås
  • Kickoff: 2026-06-12 16:00:00
  • 1X2 (model): Home 31.5% · Draw 29.5% · Away 39.0%
  • xG (showing): Follo 1.22 — Kjelsås 1.38 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • 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 No (Yes 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • 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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

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 28, 2026 (UTC)

Get Premium Predictions for Follo & Kjelsås!

Unlock in-depth analysis, exclusive betting tips, and match forecasts with our premium subscription service.

Subscribe Now
Back to Statistics
2. Division - Group 2 2. Division - Group 2 — Standings
# TEAM MP W D L PTS
1 Eidsvold 20 15 3 2 48
2 Levanger 20 15 0 5 45
3 Kjelsås 21 14 2 5 44
4 Hønefoss 20 13 3 4 42
5 Grorud 20 11 4 5 37
6 Stjørdals-Blink 21 9 3 9 30
7 Lørenskog 20 9 3 8 30
8 Tromsdalen Uil 20 9 2 9 29
9 Junkeren 20 8 4 8 28
10 Rana 20 7 3 10 24
11 Skeid 20 5 2 13 17
12 Follo 21 3 5 13 14
13 Ull/Kisa 21 3 1 17 10
14 Trygg/Lade 20 2 3 15 9
# TEAM MP GS GC +/- PTS
1 Levanger 20 51 21 +30 45
2 Hønefoss 20 51 28 +23 42
3 Kjelsås 21 49 31 +18 44
4 Eidsvold 20 48 16 +32 48
5 Stjørdals-Blink 21 37 38 -1 30
6 Grorud 20 34 20 +14 37
7 Tromsdalen Uil 20 34 34 0 29
8 Rana 20 34 38 -4 24
9 Lørenskog 20 29 32 -3 30
10 Junkeren 20 29 33 -4 28
11 Skeid 20 27 43 -16 17
12 Follo 21 25 45 -20 14
13 Ull/Kisa 21 25 70 -45 10
14 Trygg/Lade 20 23 47 -24 9