Orlando City 3–2 Columbus Crew — Match Recap & Tip AnalysisOrlando City faced Columbus Crew in MLS on 11 October 2026. The match ended **3–2**, with Orlando City taking the victory over Columbus Crew. We placed **6 tips** on this match — **2 won** and **4 lost** (33% hit rate). ## Tip Results ❌ **Double Chance (X2)** @ 1.82 (confidence: 58%) — **LOST** The result fell outside the double chance coverage. ✅ **Over 2.5 Goals** @ 1.45 (confidence: 70%) — **WON** 5 goals — clear of the 2.5 line. ❌ **Under 5.5 Cards** @ 1.34 (confidence: 73%) — **LOST** ⭐ Main Tip 6 cards — the 5.5 line went the other way. ❌ **Under 11.5 Corners** @ 1.39 (confidence: 70%) — **LOST** 13 corners — the 11.5 line went the other way. ✅ **Over 1.5 Goals (2nd Half)** @ 1.62 (confidence: 60%) — **WON** 2 second-half goals — clear of the 1.5 line. ❌ **Correct Score: 1-2** @ 11.00 (confidence: 8%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Double Chance (X2) | 1.82 | 58% | ❌ LOST | | Over 2.5 Goals | 1.45 | 70% | ✅ WON | | Under 5.5 Cards ⭐ | 1.34 | 73% | ❌ LOST | | Under 11.5 Corners | 1.39 | 70% | ❌ LOST | | Over 1.5 Goals (2nd Half) | 1.62 | 60% | ✅ WON | | Correct Score: 1-2 | 11.00 | 8% | ❌ LOST | **Overall: 2 of 6 tips won** (33% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 3.61 | 5 | | Corners | 9.8 | 13 | | Yellow Cards | 4.3 | 6 | | 1st Half Goal Chance | 80% | — | The match exceeded our expected goals model significantly — a higher-scoring affair than the statistics suggested. ## Head-to-Head History 17.09.26 Columbus Crew 2-1 Orlando City | 13.04.26 Columbus Crew 1-1 Orlando City | 05.10.25 Orlando City 1-1 Columbus Crew | 26.07.25 Columbus Crew 1-3 Orlando City | 22.09.24 Columbus Crew 4-3 Orlando City ## Pre-Match Odds | Orlando City Win | Draw | Columbus Crew Win | | --- | --- | --- | | 2.10 | 3.90 | 3.35 | --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*