Servette 0–0 Zurich — Match Recap & Tip Analysis

Servette faced Zurich in Switzerland: Super League on 8 November 2026. The match ended **0–0** in a draw. We placed **7 tips** on this match — **1 won** and **6 lost** (14% hit rate). ## Tip Results ❌ **Servette to Win** @ 1.95 (confidence: 49%) — **LOST** This prediction missed. ❌ **Over 2.5 Goals** @ 1.55 (confidence: 67%) — **LOST** 0 goals — the 2.5 line went the other way. ❌ **Both Teams to Score or Over 2.5 Goals** @ 1.32 (confidence: 74%) — **LOST** 0 goals — the 2.5 line went the other way. ✅ **Under 5.5 Cards** @ 1.60 (confidence: 62%) — **WON** 4 cards — clear of the 5.5 line. ❌ **Under 12.5 Corners** @ 1.40 (confidence: 70%) — **LOST** 17 corners — the 12.5 line went the other way. ❌ **Over 0.5 Goals (1st Half)** @ 1.32 (confidence: 78%) — **LOST** ⭐ Main Tip 0 first-half goals — the 0.5 line went the other way. ❌ **Correct Score: 2-1** @ 8.00 (confidence: 9%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Servette to Win | 1.95 | 49% | ❌ LOST | | Over 2.5 Goals | 1.55 | 67% | ❌ LOST | | Both Teams to Score or Over 2.5 Goals | 1.32 | 74% | ❌ LOST | | Under 5.5 Cards | 1.60 | 62% | ✅ WON | | Under 12.5 Corners | 1.40 | 70% | ❌ LOST | | Over 0.5 Goals (1st Half) ⭐ | 1.32 | 78% | ❌ LOST | | Correct Score: 2-1 | 8.00 | 9% | ❌ LOST | **Overall: 1 of 7 tips won** (14% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 3.43 | 0 | | Corners | 10.8 | 17 | | Yellow Cards | 5.0 | 4 | | 1st Half Goal Chance | 78% | No | Fewer goals than our model predicted. The defences outperformed expectations. ## Head-to-Head History 01.08.26 Zurich 2-1 Servette | 16.05.26 Zurich 0-2 Servette | 07.03.26 Servette 2-1 Zurich | 18.01.26 Servette 1-1 Zurich | 13.09.25 Zurich 2-1 Servette ## Pre-Match Odds | Servette Win | Draw | Zurich Win | | --- | --- | --- | | 1.95 | 3.65 | 3.55 | --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*