Frosinone 2–0 Torino — Match Recap & Tip Analysis

Frosinone faced Torino in Serie A on 1 November 2026. The match ended **2–0**, with Frosinone taking the victory over Torino. We placed **7 tips** on this match — **3 won** and **4 lost** (43% hit rate). ## Tip Results ✅ **Frosinone to Win** @ 2.02 (confidence: 49%) — **WON** This prediction was correct. ❌ **Over 2.5 Goals** @ 1.39 (confidence: 72%) — **LOST** 2 goals — the 2.5 line went the other way. ❌ **Both Teams to Score or Over 2.5 Goals** @ 1.22 (confidence: 79%) — **LOST** 2 goals — the 2.5 line went the other way. ✅ **Under 4.5 Cards** @ 1.35 (confidence: 73%) — **WON** ⭐ Main Tip 4 cards — clear of the 4.5 line. ❌ **Under 11.5 Corners** @ 1.46 (confidence: 65%) — **LOST** 14 corners — the 11.5 line went the other way. ✅ **Over 1.5 Goals (2nd Half)** @ 1.59 (confidence: 62%) — **WON** 2 second-half goals — clear of the 1.5 line. ❌ **Correct Score: 2-1** @ 8.80 (confidence: 8%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Frosinone to Win | 2.02 | 49% | ✅ WON | | Over 2.5 Goals | 1.39 | 72% | ❌ LOST | | Both Teams to Score or Over 2.5 Goals | 1.22 | 79% | ❌ LOST | | Under 4.5 Cards ⭐ | 1.35 | 73% | ✅ WON | | Under 11.5 Corners | 1.46 | 65% | ❌ LOST | | Over 1.5 Goals (2nd Half) | 1.59 | 62% | ✅ WON | | Correct Score: 2-1 | 8.80 | 8% | ❌ LOST | **Overall: 3 of 7 tips won** (43% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 3.74 | 2 | | Corners | 10.4 | 14 | | Yellow Cards | 3.4 | 4 | | 1st Half Goal Chance | 81% | — | Fewer goals than our model predicted. The defences outperformed expectations. ## Head-to-Head History 21.04.24 Torino 0-0 Frosinone | 10.12.23 Frosinone 0-0 Torino | 02.11.23AET Torino 1-2 Frosinone | 10.03.19 Frosinone 1-2 Torino | 05.10.18 Torino 3-2 Frosinone ## Pre-Match Odds | Frosinone Win | Draw | Torino Win | | --- | --- | --- | | 2.02 | 4.05 | 3.25 | --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*