Manchester City 3–2 Ipswich — Match Recap & Tip AnalysisManchester City faced Ipswich in Premier League on 17 October 2026. The match ended **3–2**, with Manchester City taking the victory over Ipswich. We placed **6 tips** on this match — **5 won** and **1 lost** (83% hit rate). ## Tip Results ✅ **Manchester City to Win** @ 1.27 (confidence: 80%) — **WON** This prediction was correct. ✅ **Over 3.5 Goals** @ 2.00 (confidence: 62%) — **WON** 5 goals — clear of the 3.5 line. ✅ **Both Teams to Score or Over 2.5 Goals** @ 1.27 (confidence: 93%) — **WON** 5 goals — clear of the 2.5 line. ✅ **Over 2.5 Cards** @ 1.56 (confidence: 61%) — **WON** 3 cards — clear of the 2.5 line. ✅ **Under 12.5 Corners** @ 1.40 (confidence: 76%) — **WON** ⭐ Main Tip 5 corners — clear of the 12.5 line. ❌ **Correct Score: 4-1** @ 14.00 (confidence: 7%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Manchester City to Win | 1.27 | 80% | ✅ WON | | Over 3.5 Goals | 2.00 | 62% | ✅ WON | | Both Teams to Score or Over 2.5 Goals | 1.27 | 93% | ✅ WON | | Over 2.5 Cards | 1.56 | 61% | ✅ WON | | Under 12.5 Corners ⭐ | 1.40 | 76% | ✅ WON | | Correct Score: 4-1 | 14.00 | 7% | ❌ LOST | **Overall: 5 of 6 tips won** (83% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 4.30 | 5 | | Corners | 10.2 | 5 | | Yellow Cards | 3.4 | 3 | | 1st Half Goal Chance | 85% | — | The actual goals were close to our expected model, confirming our statistical analysis was well-calibrated. ## Head-to-Head History 19.01.25 Ipswich 0-6 Manchester City | 24.08.24 Manchester City 4-1 Ipswich | 27.01.02 Ipswich 1-4 Manchester City | 07.05.01 Ipswich 2-1 Manchester City | 19.12.00AET Manchester City 1-2 Ipswich ## Pre-Match Odds | Manchester City Win | Draw | Ipswich Win | | --- | --- | --- | | 1.27 | 6.90 | 10.00 | A predictable result, with the winner heavily favoured at 1.27. --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*