PSV 1–1 Feyenoord — Match Recap & Tip AnalysisPSV faced Feyenoord in Eredivisie on 25 October 2026. The match ended **1–1** in a draw. We placed **7 tips** on this match — **2 won** and **5 lost** (29% hit rate). ## Tip Results ✅ **Double Chance (X2)** @ 1.78 (confidence: 58%) — **WON** The 1–1 result covered this double chance selection. ❌ **Over 2.5 Goals** @ 1.33 (confidence: 74%) — **LOST** ⭐ Main Tip 2 goals — the 2.5 line went the other way. ✅ **Both Teams to Score or Over 2.5 Goals** @ 1.17 (confidence: 81%) — **WON** 2 goals — clear of the 2.5 line. ❌ **Under 5.5 Cards** @ 1.35 (confidence: 73%) — **LOST** 7 cards — the 5.5 line went the other way. ❌ **Under 10.5 Corners** @ 1.80 (confidence: 60%) — **LOST** 11 corners — the 10.5 line went the other way. ❌ **Over 1.5 Goals (2nd Half)** @ 1.51 (confidence: 65%) — **LOST** 1 second-half goal — the 1.5 line went the other way. ❌ **Correct Score: 1-2** @ 11.00 (confidence: 8%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Double Chance (X2) | 1.78 | 58% | ✅ WON | | Over 2.5 Goals ⭐ | 1.33 | 74% | ❌ LOST | | Both Teams to Score or Over 2.5 Goals | 1.17 | 81% | ✅ WON | | Under 5.5 Cards | 1.35 | 73% | ❌ LOST | | Under 10.5 Corners | 1.80 | 60% | ❌ LOST | | Over 1.5 Goals (2nd Half) | 1.51 | 65% | ❌ LOST | | Correct Score: 1-2 | 11.00 | 8% | ❌ LOST | **Overall: 2 of 7 tips won** (29% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 3.86 | 2 | | Corners | 9.9 | 11 | | Yellow Cards | 4.3 | 7 | | 1st Half Goal Chance | 82% | — | Fewer goals than our model predicted. The defences outperformed expectations. ## Head-to-Head History 01.02.26 PSV 3-0 Feyenoord | 26.10.25 Feyenoord 2-3 PSV | 11.05.25 Feyenoord 2-3 PSV | 05.02.25 PSV 2-0 Feyenoord | 22.12.24 PSV 3-0 Feyenoord ## Pre-Match Odds | PSV Win | Draw | Feyenoord Win | | --- | --- | --- | | 2.10 | 4.15 | 3.10 | --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*