Pisa 2–2 Sudtirol — Match Recap & Tip Analysis

Pisa faced Sudtirol in Italy: Serie B on 7 November 2026. The match ended **2–2** in a draw. We placed **7 tips** on this match — **3 won** and **4 lost** (43% hit rate). ## Tip Results ❌ **Pisa to Win** @ 1.55 (confidence: 66%) — **LOST** This prediction missed. ❌ **Under 3.5 Goals** @ 1.39 (confidence: 70%) — **LOST** 4 goals — the 3.5 line went the other way. ❌ **Both Teams to Score & Over 2.5 Goals (No)** @ 1.52 (confidence: 64%) — **LOST** 4 goals — the 2.5 line went the other way. ✅ **Over 3.5 Cards** @ 1.45 (confidence: 66%) — **WON** 5 cards — clear of the 3.5 line. ✅ **Over 8.5 Corners** @ 1.67 (confidence: 59%) — **WON** 12 corners — clear of the 8.5 line. ✅ **Over 0.5 Goals (1st Half)** @ 1.39 (confidence: 71%) — **WON** ⭐ Main Tip 2 first-half goals — clear of the 0.5 line. ❌ **Correct Score: 2-0** @ 6.70 (confidence: 16%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Pisa to Win | 1.55 | 66% | ❌ LOST | | Under 3.5 Goals | 1.39 | 70% | ❌ LOST | | Both Teams to Score & Over 2.5 Goals (No) | 1.52 | 64% | ❌ LOST | | Over 3.5 Cards | 1.45 | 66% | ✅ WON | | Over 8.5 Corners | 1.67 | 59% | ✅ WON | | Over 0.5 Goals (1st Half) ⭐ | 1.39 | 71% | ✅ WON | | Correct Score: 2-0 | 6.70 | 16% | ❌ LOST | **Overall: 3 of 7 tips won** (43% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 2.75 | 4 | | Corners | 9.5 | 12 | | Yellow Cards | 4.8 | 5 | | 1st Half Goal Chance | 70% | Yes (2) | The match exceeded our expected goals model significantly — a higher-scoring affair than the statistics suggested. ## Head-to-Head History 09.05.25 Pisa 3-3 Sudtirol | 19.10.24 Sudtirol 1-2 Pisa | 05.05.24 Pisa 2-2 Sudtirol | 11.11.23 Sudtirol 1-2 Pisa | 04.02.23 Pisa 0-1 Sudtirol ## Pre-Match Odds | Pisa Win | Draw | Sudtirol Win | | --- | --- | --- | | 1.55 | 4.20 | 6.10 | --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*