Feyenoord 0–3 Inter — Match Recap & Tip AnalysisFeyenoord faced Inter in Champions League on 3 November 2026. The match ended **0–3**, with Inter taking the victory over Feyenoord. We placed **7 tips** on this match — **3 won** and **4 lost** (43% hit rate). ## Tip Results ❌ **Double Chance (1X)** @ 1.98 (confidence: 53%) — **LOST** The result fell outside the double chance coverage. ❌ **Over 3.5 Goals** @ 2.05 (confidence: 56%) — **LOST** 3 goals — the 3.5 line went the other way. ✅ **Both Teams to Score or Over 2.5 Goals** @ 1.24 (confidence: 81%) — **WON** 3 goals — clear of the 2.5 line. ✅ **Under 4.5 Cards** @ 1.50 (confidence: 71%) — **WON** ⭐ Main Tip 3 cards — clear of the 4.5 line. ✅ **Under 9.5 Corners** @ 1.77 (confidence: 58%) — **WON** 9 corners — clear of the 9.5 line. ❌ **Over 1.5 Goals (2nd Half)** @ 1.63 (confidence: 65%) — **LOST** 1 second-half goal — the 1.5 line went the other way. ❌ **Correct Score: 2-2** @ 10.00 (confidence: 7%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Double Chance (1X) | 1.98 | 53% | ❌ LOST | | Over 3.5 Goals | 2.05 | 56% | ❌ LOST | | Both Teams to Score or Over 2.5 Goals | 1.24 | 81% | ✅ WON | | Under 4.5 Cards ⭐ | 1.50 | 71% | ✅ WON | | Under 9.5 Corners | 1.77 | 58% | ✅ WON | | Over 1.5 Goals (2nd Half) | 1.63 | 65% | ❌ LOST | | Correct Score: 2-2 | 10.00 | 7% | ❌ LOST | **Overall: 3 of 7 tips won** (43% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 3.98 | 3 | | Corners | 9.1 | 9 | | Yellow Cards | 3.5 | 3 | | 1st Half Goal Chance | 83% | — | The actual goals were close to our expected model, confirming our statistical analysis was well-calibrated. ## Head-to-Head History 11.03.25 Inter 2-1 Feyenoord | 05.03.25 Feyenoord 0-2 Inter | 11.04.02 Feyenoord 2-2 Inter | 04.04.02 Inter 0-1 Feyenoord ## Pre-Match Odds | Feyenoord Win | Draw | Inter Win | | --- | --- | --- | | 30.00 | 11.00 | 1.90 | --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*