Prediction Audit: Malacky vs DAC II Prediction, Odds & AI Betting Tips

Malacky

May 23, 2026 - 15:00

0 1.45

0 1.25

xG Accuracy: 48%

DAC II

The model missed the final outcome (Draw 0–0).

The model had projected Malacky at 41.8%, 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 Over 2.5 Under 2.5 (0 goals) ✖ Incorrect
Both Teams To Score BTTS No No ✔ Correct
1X2 Malacky Draw ✖ Incorrect
Correct Score Insights 1-1, 1-2, 0-1, 2-1, 0-2 0-0 ✖ Incorrect

Post Match Insights

What worked

Both Teams To Score (No) matched the full-time result

What failed

Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (0 goals)
1X2: model leaned Malacky; match finished Draw

Market lesson

The full-time result was Draw 0–0, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

May 23, 2026 · 19:45 UTC Forecast generated
- xG · Malacky 1.45 — DAC II 1.25
May 23, 2026 · 15:00 UTC Kickoff
FT Full-time result Draw · 0–0
FT Prediction missed 1X2 lean did not match full-time result
Archived Prediction review

Historical Snapshot

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

Historical verdict: Observe

Historical Decision No Primary Bet

Outcome Missed

Pre-match metrics (historical context)

Prediction Reliability 57/100 · Moderate

Validation: Pending

Evidence ★★★★★

No strong statistical edge
Market has already priced much of the edge
Validation pending

Market Compatibility 100/100

Betting Confidence 59/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 05, 2026 · 03:49 UTC Snapshot ID: dp-3024320

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Draw · Malacky 0–0 DAC II

Prediction ✖ Missed

Decision Grade F

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

Pre-match snapshot for this fixture.

League: 3. liga - West
Fixture: Malacky vs DAC II
Kickoff: 2026-05-23 15:00:00
1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
xG (showing): Malacky 1.45 — DAC II 1.25 (total xG ≈ 2.7)
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): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 38.0% · Over 2.5 62.0%); BTTS No (Yes 43.6% · No 56.4%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS No
BTTS (model): Yes 43.6% · No 56.4%
Correct score (top bin): 1-1 (10.3%)

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.

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

October 15, 2026 (UTC)

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