Din. Zagreb 2–4 Nijmegen — Match Recap & Tip Analysis

Din. Zagreb faced Nijmegen in Europa League on 22 October 2026. The match ended **2–4**, with Nijmegen taking the victory over Din. Zagreb. We placed **7 tips** on this match — **4 won** and **3 lost** (57% hit rate). ## Tip Results ❌ **Din. Zagreb to Win** @ 1.50 (confidence: 70%) — **LOST** This prediction missed. ✅ **Over 3.5 Goals** @ 2.30 (confidence: 51%) — **WON** 6 goals — clear of the 3.5 line. ✅ **Both Teams to Score or Over 2.5 Goals** @ 1.32 (confidence: 77%) — **WON** ⭐ Main Tip 6 goals — clear of the 2.5 line. ❌ **Over 3.5 Cards** @ 1.87 (confidence: 64%) — **LOST** 3 cards — the 3.5 line went the other way. ✅ **Under 9.5 Corners** @ 1.80 (confidence: 60%) — **WON** 7 corners — clear of the 9.5 line. ✅ **Over 1.5 Goals (2nd Half)** @ 1.75 (confidence: 61%) — **WON** 2 second-half goals — clear of the 1.5 line. ❌ **Correct Score: 3-1** @ 10.00 (confidence: 8%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Din. Zagreb to Win | 1.50 | 70% | ❌ LOST | | Over 3.5 Goals | 2.30 | 51% | ✅ WON | | Both Teams to Score or Over 2.5 Goals ⭐ | 1.32 | 77% | ✅ WON | | Over 3.5 Cards | 1.87 | 64% | ❌ LOST | | Under 9.5 Corners | 1.80 | 60% | ✅ WON | | Over 1.5 Goals (2nd Half) | 1.75 | 61% | ✅ WON | | Correct Score: 3-1 | 10.00 | 8% | ❌ LOST | **Overall: 4 of 7 tips won** (57% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 3.70 | 6 | | Corners | 8.9 | 7 | | Yellow Cards | 4.7 | 3 | | 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 23.10.08 Din. Zagreb 3-2 Nijmegen ## Pre-Match Odds | Din. Zagreb Win | Draw | Nijmegen Win | | --- | --- | --- | | 1.50 | 4.75 | 5.80 | An upset result — the market had the winner as the underdog at 5.80. --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*