Liverpool 0–3 Manchester City — Match Recap & Tip Analysis

Liverpool faced Manchester City in Premier League on 11 October 2026. The match ended **0–3**, with Manchester City taking the victory over Liverpool. We placed **6 tips** on this match — **2 won** and **4 lost** (33% hit rate). ## Tip Results ✅ **Double Chance (X2)** @ 1.37 (confidence: 71%) — **WON** The 0–3 result covered this double chance selection. ✅ **Over 2.5 Goals** @ 1.62 (confidence: 62%) — **WON** 3 goals — clear of the 2.5 line. ❌ **Under 5.5 Cards** @ 1.53 (confidence: 73%) — **LOST** ⭐ Main Tip 7 cards — the 5.5 line went the other way. ❌ **Under 10.5 Corners** @ 1.67 (confidence: 60%) — **LOST** 11 corners — the 10.5 line went the other way. ❌ **Over 0.5 Goals (1st Half)** @ 1.34 (confidence: 75%) — **LOST** 0 first-half goals — the 0.5 line went the other way. ❌ **Correct Score: 0-2** @ 12.00 (confidence: 10%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Double Chance (X2) | 1.37 | 71% | ✅ WON | | Over 2.5 Goals | 1.62 | 62% | ✅ WON | | Under 5.5 Cards ⭐ | 1.53 | 73% | ❌ LOST | | Under 10.5 Corners | 1.67 | 60% | ❌ LOST | | Over 0.5 Goals (1st Half) | 1.34 | 75% | ❌ LOST | | Correct Score: 0-2 | 12.00 | 10% | ❌ LOST | **Overall: 2 of 6 tips won** (33% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 3.18 | 3 | | Corners | 9.8 | 11 | | Yellow Cards | 4.3 | 7 | | 1st Half Goal Chance | 75% | No | The actual goals were close to our expected model, confirming our statistical analysis was well-calibrated. ## Head-to-Head History 04.04.26 Manchester City 4-0 Liverpool | 08.02.26 Liverpool 1-2 Manchester City | 09.11.25 Manchester City 3-0 Liverpool | 23.02.25 Manchester City 0-2 Liverpool | 01.12.24 Liverpool 2-0 Manchester City ## Pre-Match Odds | Liverpool Win | Draw | Manchester City Win | | --- | --- | --- | | 3.30 | 3.70 | 2.15 | --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*