Predictions / Football / Italy. Serie B / Sudtirol vs Catanzaro

Prediction Audit: Sudtirol vs Catanzaro Prediction, Odds & AI Betting Tips

Sudtirol Sudtirol
Sep 05, 2026 - 13:00
2 1.49
0 1.44
xG Accuracy: 58%
Catanzaro Catanzaro

AI correctly predicted the Sudtirol win.

The match finished 2–0, validating the model's directional assessment.

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 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Sudtirol Sudtirol ✔ Correct
  • Correct Score Insights 1-1, 2-1, 1-2, 1-0, 0-1 2-0 ✖ Incorrect

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Catanzaro +4.4 pp

Outcome Model Closing Market Difference Signal
Sudtirol 37.2% 39.2% -1.9 pp Aligned
Draw 28.7% 31.2% -2.5 pp Aligned
Catanzaro 34.0% 29.6% +4.4 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 (Sudtirol win 2–0).

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)

Market lesson

The model's directional lean matched the full-time result (Sudtirol win 2–0).

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Prediction Timeline

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

  1. Sep 05, 2026 · 19:24 UTC Forecast generated
    • Model 1X2 · Sudtirol 37.2% · Draw 28.8% · Catanzaro 34.0%
    • xG · Sudtirol 1.49 — Catanzaro 1.44
  2. Sep 05, 2026 · 12:34 UTC Opening odds snapshot PRE30
    • 1X2 odds · Sudtirol 2.64 · Draw 3.03 · Catanzaro 3.09
    • Implied 1X2 · Sudtirol 36.7% · Draw 32.0% · Catanzaro 31.4%
    • Bookmaker · Pinnacle
  3. Sep 05, 2026 · 13:04 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Sudtirol 2.47 · Draw 3.10 · Catanzaro 3.27
    • Implied 1X2 · Sudtirol 39.2% · Draw 31.2% · Catanzaro 29.6%
    • Bookmaker · Pinnacle
  4. Sep 05, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Sudtirol win · 2–0
  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: Observe
Historical Decision No Primary Bet
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 77/100
Betting Confidence 80/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 02:07 UTC Snapshot ID: dp-6139472

Closing Odds 3.27
AI Fair Odds —
CLV Pending
Final Result Sudtirol win · Sudtirol 2–0 Catanzaro
Prediction ✔ Correct
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): +37.5%

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: Serie B
  • Fixture: Sudtirol vs Catanzaro
  • Kickoff: 2026-09-05 13:00:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): Sudtirol 1.49 — Catanzaro 1.44 (total xG ≈ 2.93)
  • 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: 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 15, 2026 (UTC)

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Serie B Serie B — Standings
# TEAM MP W D L PTS
1 Mantova 4 3 1 0 10
2 Palermo 4 3 1 0 10
3 Sudtirol 4 2 2 0 8
4 Avellino 4 2 1 1 7
5 Padova 4 2 1 1 7
6 Modena 4 2 1 1 7
7 Ascoli 4 2 1 1 7
8 Cesena 4 1 3 0 6
9 Pisa 4 2 0 2 6
10 Empoli 4 2 0 2 6
11 Arezzo 4 2 0 2 6
12 Vicenza Virtus 4 1 2 1 5
13 Benevento 4 1 1 2 4
14 Virtus Entella 4 1 1 2 4
15 Cremonese 4 1 1 2 4
16 Verona 4 1 1 2 4
17 Catanzaro 4 1 0 3 3
18 Juve Stabia 4 1 1 2 2
19 Carrarese 4 0 1 3 1
20 Sampdoria 4 0 1 3 1
# TEAM MP GS GC +/- PTS
1 Mantova 4 8 3 +5 10
2 Palermo 4 8 4 +4 10
3 Verona 4 8 6 +2 4
4 Virtus Entella 4 7 6 +1 4
5 Avellino 4 6 3 +3 7
6 Modena 4 6 3 +3 7
7 Cesena 4 6 5 +1 6
8 Pisa 4 6 6 0 6
9 Vicenza Virtus 4 6 8 -2 5
10 Sudtirol 4 5 2 +3 8
11 Benevento 4 5 5 0 4
12 Cremonese 4 5 7 -2 4
13 Arezzo 4 5 9 -4 6
14 Ascoli 4 4 3 +1 7
15 Padova 4 4 4 0 7
16 Catanzaro 4 4 7 -3 3
17 Empoli 4 3 4 -1 6
18 Juve Stabia 4 3 6 -3 2
19 Sampdoria 4 3 8 -5 1
20 Carrarese 4 2 5 -3 1
# TEAM MP xG xGC +/- PTS
1 Verona 4 4.8 2.2 +2.6 4
2 Modena 4 3.2 1.3 +1.9 7
3 Benevento 4 2.8 1.1 +1.7 4
4 Pisa 4 3.7 2.2 +1.5 6
5 Palermo 4 3.2 2.2 +1.0 10
6 Cesena 4 3.0 2.1 +0.9 6
7 Mantova 4 2.9 2.6 +0.3 10
8 Sampdoria 4 2.3 2.3 0.0 1
9 Carrarese 4 2.7 2.8 -0.1 1
10 Vicenza Virtus 4 2.9 3.1 -0.2 5
11 Arezzo 4 2.5 2.7 -0.2 6
12 Empoli 4 1.4 1.6 -0.2 6
13 Virtus Entella 4 1.2 1.4 -0.2 4
14 Juve Stabia 4 2.1 2.4 -0.3 2
15 Cremonese 4 0.7 1.6 -0.9 4
16 Catanzaro 4 2.8 3.8 -1.0 3
17 Padova 4 2.0 3.3 -1.3 7
18 Sudtirol 4 1.5 2.8 -1.3 8
19 Avellino 4 2.5 4.4 -1.9 7
20 Ascoli 4 2.9 4.9 -2.0 7
Serie B Italy. Serie B Predictions