Statistics / Football / Norway. 3. Division - Girone 4 / Staal Jørpeland vs Hinna

Staal Jørpeland vs Hinna Statistics & Analysis

Jun 25, 2026 - 16:00
1 1.32
1 1.28
xG Accuracy: 85%
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 No Yes ✖ Incorrect
  • 1X2 Staal Jørpeland Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Aug 05, 2026 · 15:39 UTC Snapshot ID: dp-3057811

Closing Odds 1.69
AI Fair Odds —
CLV +0.0%
Final Result Draw · Staal Jørpeland 1–1 Hinna
Prediction ✖ Missed
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 Draw (1X2), Hinna (1X2) 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 Draw (1X2) by about 8.4 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Staal Jørpeland (1X2) 36.1 52.5 -16.4
Draw (1X2) 29.7 21.3 +8.4
Hinna (1X2) 34.2 26.2 +8.1
What this means

In plain terms: the model lands near 29.7% on Draw (1X2), while the closing snapshot implied about 21.3%. The difference — about 8.4 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)
Staal Jørpeland (1X2) 1.69 1.69 0.0
Draw (1X2) 4.17 4.17 0.0
Hinna (1X2) 3.39 3.39 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: 3. Division - Girone 4
  • Fixture: Staal Jørpeland vs Hinna
  • Kickoff: 2026-06-25 16:00:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Staal Jørpeland 1.32 — Hinna 1.28 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.3%, still below the +2.0% minimum for a headline / default stake (no default bet).
  • Structural leans (not bets): Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: No Primary Bet

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 29, 2026 (UTC)

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Back to Statistics
3. Division - Girone 4 3. Division - Girone 4 — Standings
# TEAM MP W D L PTS
1 Madla 21 13 6 2 45
2 Mandalskameratene 21 12 4 5 40
3 Vindbjart 21 12 2 7 38
4 Varhaug 21 10 6 5 36
5 Flekkerøy 21 11 3 7 36
6 Viking II 21 9 5 7 32
7 Brodd 21 8 3 10 27
8 Stabæk II 21 8 3 10 27
9 Våg 21 8 2 11 26
10 Staal Jørpeland 21 6 5 10 23
11 Odd II 21 6 5 10 23
12 Haugesund II 20 6 4 10 22
13 Hinna 20 5 5 10 20
14 Åkra 21 4 3 14 15
# TEAM MP GS GC +/- PTS
1 Madla 21 57 26 +31 45
2 Viking II 21 51 30 +21 32
3 Mandalskameratene 21 50 33 +17 40
4 Vindbjart 21 49 24 +25 38
5 Flekkerøy 21 43 35 +8 36
6 Stabæk II 21 43 48 -5 27
7 Staal Jørpeland 21 41 52 -11 23
8 Varhaug 21 40 30 +10 36
9 Brodd 21 39 42 -3 27
10 Haugesund II 20 37 55 -18 22
11 Odd II 21 36 49 -13 23
12 Hinna 20 36 57 -21 20
13 Våg 21 31 37 -6 26
14 Åkra 21 27 62 -35 15