Predictions / Football / Sweden. Damallsvenskan / Vittsjö vs Uppsala W

Prediction Audit: Vittsjö vs Uppsala W Prediction, Odds & AI Betting Tips

Sep 05, 2026 - 14:00
5 2.63
0 2.48
xG Accuracy: 26%

AI correctly predicted the Vittsjö win.

The match finished 5–0, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Over 2.5 Over 2.5 (5 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Vittsjö Vittsjö ✔ Correct
  • Correct Score Insights 2-2, 3-2, 2-3, 2-1, 1-2 5-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Vittsjö higher than the statistical model.

Largest probability gap: Vittsjö -28.3 pp

Outcome Model Closing Market Difference Signal
Vittsjö 63.4% 91.7% -28.3 pp Market Higher
Draw 17.4% 6.2% +11.3 pp Model Edge
Uppsala W 19.2% 2.1% +17.0 pp Model Edge

The closing market estimates Vittsjö's win probability at 91.7%, compared with the model's estimate of 63.4%, a difference of 28.3 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 model's directional lean matched the result (Vittsjö win 5–0).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 5.11) — 5 goals materialised
  • Over 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Vittsjö higher (91.7% vs model 63.4%, 28.3 pp), but the model's lean was validated (Vittsjö win 5–0).

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. Sep 05, 2026 · 19:27 UTC Forecast generated
    • Model 1X2 · Vittsjö 63.3% · Draw 17.5% · Uppsala W 19.2%
    • xG · Vittsjö 2.63 — Uppsala W 2.48
  2. Sep 05, 2026 · 13:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · Vittsjö 1.02 · Draw 15.12 · Uppsala W 43.53
    • Implied 1X2 · Vittsjö 91.7% · Draw 6.2% · Uppsala W 2.1%
    • Bookmaker · Pinnacle
  3. Sep 05, 2026 · 13:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Vittsjö 1.02 · Draw 15.12 · Uppsala W 43.53
    • Implied 1X2 · Vittsjö 91.7% · Draw 6.2% · Uppsala W 2.1%
    • Bookmaker · Pinnacle
  4. Sep 05, 2026 · 14:00 UTC Kickoff
  5. FT Full-time result Vittsjö win · 5–0
  6. FT Prediction validated Directional lean matched full-time result
  7. Archived Prediction review

Historical Snapshot

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

Historical verdict: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 37/100 · Low
  • Validation: Warning
  • Large market gap (28 pp)
  • High xG deviation from league baseline (95%+)
Evidence ★★★★★
  • Moderate model lean
  • Market strongly disagrees on price
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 24/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 02:22 UTC Snapshot ID: dp-6143020

Closing Odds 1.02
AI Fair Odds —
CLV Pending
Final Result Vittsjö win · Vittsjö 5–0 Uppsala W
Prediction ✔ Correct
Decision Grade B-

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: Damallsvenskan
  • Fixture: Vittsjö vs Uppsala W
  • Kickoff: 2026-09-05 14:00:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): Vittsjö 2.63 — Uppsala W 2.48 (total xG ≈ 5.11)
  • 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

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: Wait

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 29, 2026 (UTC)

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Damallsvenskan Damallsvenskan — Standings
# TEAM MP W D L PTS
1 Häcken 20 18 1 1 55
2 Hammarby 20 16 2 2 50
3 Malmö FF W 19 10 6 3 36
4 AIK 20 10 4 6 34
5 Kristianstad 20 8 5 7 29
6 Vittsjö 20 8 5 7 29
7 Eskilstuna United 20 8 3 9 27
8 Brommapojkarna W 19 8 2 9 26
9 Piteå W 19 6 5 8 23
10 Djurgården 20 6 3 11 21
11 Växjö 20 5 3 12 18
12 Rosengård W 19 4 5 10 17
13 Norrköping W 20 3 7 10 16
14 Uppsala W 20 1 3 16 6
# TEAM MP GS GC +/- PTS
1 Häcken 20 61 13 +48 55
2 Hammarby 20 49 10 +39 50
3 Malmö FF W 19 38 11 +27 36
4 Kristianstad 20 33 32 +1 29
5 AIK 20 29 27 +2 34
6 Vittsjö 20 27 26 +1 29
7 Brommapojkarna W 19 25 33 -8 26
8 Djurgården 20 25 33 -8 21
9 Piteå W 19 23 28 -5 23
10 Växjö 20 23 40 -17 18
11 Rosengård W 19 20 25 -5 17
12 Eskilstuna United 20 18 25 -7 27
13 Norrköping W 20 17 35 -18 16
14 Uppsala W 20 14 64 -50 6
# TEAM MP xG xGC +/- PTS
1 Hammarby 20 2.9 2.2 +0.7 50
2 AIK 20 2.2 2.9 -0.7 34
3 Häcken 20 — — — 55
4 Malmö FF W 19 — — — 36
5 Kristianstad 20 — — — 29
6 Vittsjö 20 — — — 29
7 Eskilstuna United 20 — — — 27
8 Brommapojkarna W 19 — — — 26
9 Piteå W 19 — — — 23
10 Djurgården 20 — — — 21
11 Växjö 20 — — — 18
12 Rosengård W 19 — — — 17
13 Norrköping W 20 — — — 16
14 Uppsala W 20 — — — 6