Predictions / Football / Norway. 3. Division - Girone 1 / IF Ready vs Frigg

Prediction Audit: IF Ready vs Frigg Prediction, Odds & AI Betting Tips

IF Ready IF Ready
Jul 27, 2026 - 17:00
3 1.21
3 1.39
xG Accuracy: 39%
Frigg Frigg

The model missed the final outcome (Draw 3–3).

The model had projected Frigg at 37.1%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

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 (6 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Frigg Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 3-3 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices IF Ready higher than the statistical model.

Largest probability gap: IF Ready -10.7 pp

Outcome Model Closing Market Difference Signal
IF Ready 35.3% 46.0% -10.7 pp Market Higher
Draw 27.6% 23.2% +4.3 pp Aligned
Frigg 37.1% 30.8% +6.3 pp Model Higher

The closing market estimates IF Ready's win probability at 46.0%, compared with the model's estimate of 35.3%, a difference of 10.7 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the result was Draw 3–3.

Market Assessment

The market is materially more optimistic about IF Ready than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 6 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (6 goals)
  • 1X2: model leaned Frigg; match finished Draw

Market lesson

The closing market differed from the model on Frigg by 10.7 percentage points (47.8% vs model 37.1%) — in this case the market view proved closer.

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Prediction Timeline

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

  1. Jul 27, 2026 · 19:24 UTC Forecast generated
    • Model 1X2 · IF Ready 35.3% · Draw 27.5% · Frigg 37.1%
    • xG · IF Ready 1.21 — Frigg 1.39
  2. Jul 27, 2026 · 16:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · IF Ready 1.93 · Draw 3.82 · Frigg 2.88
    • Implied 1X2 · IF Ready 46.0% · Draw 23.2% · Frigg 30.8%
    • Bookmaker · Pinnacle
  3. Jul 27, 2026 · 16:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · IF Ready 1.93 · Draw 3.82 · Frigg 2.88
    • Implied 1X2 · IF Ready 46.0% · Draw 23.2% · Frigg 30.8%
    • Bookmaker · Pinnacle
  4. Jul 27, 2026 · 17:00 UTC Kickoff
  5. FT Full-time result Draw · 3–3
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 58/100 · Moderate
  • Validation: Warning
  • Large market gap (11 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 16/100
Monitoring Confidence 20/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 14:01 UTC Snapshot ID: dp-1454903

Closing Odds 1.93
AI Fair Odds —
CLV Pending
Final Result Draw · IF Ready 3–3 Frigg
Prediction ✖ Missed
Decision Grade F

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

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

  • League: 3. Division - Girone 1
  • Fixture: IF Ready vs Frigg
  • Kickoff: 2026-07-27 17:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): IF Ready 1.21 — Frigg 1.39 (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): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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: Monitor

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 28, 2026 (UTC)

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3. Division - Girone 1 3. Division - Girone 1 — Standings
# TEAM MP W D L PTS
1 Asker 20 18 1 1 55
2 Heming 21 13 3 5 42
3 Gamle Oslo 21 13 1 7 40
4 Bærum 21 11 2 8 35
5 Vålerenga II 21 11 1 9 34
6 IF Ready 21 9 6 6 33
7 Frigg 20 9 5 6 32
8 Union Carl Berner 20 10 1 9 31
9 KFUM II 20 7 2 11 23
10 Lokomotiv Oslo 21 7 2 12 23
11 Nordstrand 21 6 2 13 20
12 Ullern 21 6 2 13 20
13 Konnerud 21 5 1 15 16
14 SF Grei 21 5 1 15 16
# TEAM MP GS GC +/- PTS
1 Asker 20 71 25 +46 55
2 Gamle Oslo 21 68 41 +27 40
3 Bærum 21 61 39 +22 35
4 Heming 21 53 31 +22 42
5 IF Ready 21 53 42 +11 33
6 Frigg 20 49 44 +5 32
7 Vålerenga II 21 47 58 -11 34
8 KFUM II 20 41 58 -17 23
9 Ullern 21 39 57 -18 20
10 Lokomotiv Oslo 21 39 61 -22 23
11 Nordstrand 21 36 48 -12 20
12 SF Grei 21 36 69 -33 16
13 Union Carl Berner 20 35 30 +5 31
14 Konnerud 21 29 54 -25 16
3. Division - Girone 1 Norway. 3. Division - Girone 1 Predictions