Royale Union SG 4–0 H. Beer Sheva — Match Recap & Tip Analysis

Royale Union SG faced H. Beer Sheva in Europa League on 22 October 2026. The match ended **4–0**, with Royale Union SG taking the victory over H. Beer Sheva. We placed **7 tips** on this match — **4 won** and **3 lost** (57% hit rate). ## Tip Results ✅ **Royale Union SG to Win** @ 1.40 (confidence: 73%) — **WON** This prediction was correct. ❌ **Under 3.5 Goals** @ 1.64 (confidence: 65%) — **LOST** 4 goals — the 3.5 line went the other way. ✅ **Both Teams to Score & Over 2.5 Goals (No)** @ 1.74 (confidence: 65%) — **WON** 4 goals — clear of the 2.5 line. ✅ **Under 5.5 Cards** @ 1.34 (confidence: 72%) — **WON** 5 cards — clear of the 5.5 line. ✅ **Under 9.5 Corners** @ 1.71 (confidence: 56%) — **WON** 4 corners — clear of the 9.5 line. ❌ **Under 2.5 Goals (2nd Half)** @ 1.33 (confidence: 77%) — **LOST** ⭐ Main Tip 3 second-half goals — the 2.5 line went the other way. ❌ **Correct Score: 2-0** @ 7.60 (confidence: 21%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Royale Union SG to Win | 1.40 | 73% | ✅ WON | | Under 3.5 Goals | 1.64 | 65% | ❌ LOST | | Both Teams to Score & Over 2.5 Goals (No) | 1.74 | 65% | ✅ WON | | Under 5.5 Cards | 1.34 | 72% | ✅ WON | | Under 9.5 Corners | 1.71 | 56% | ✅ WON | | Under 2.5 Goals (2nd Half) ⭐ | 1.33 | 77% | ❌ LOST | | Correct Score: 2-0 | 7.60 | 21% | ❌ LOST | **Overall: 4 of 7 tips won** (57% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 2.98 | 4 | | Corners | 9.2 | 4 | | Yellow Cards | 4.3 | 5 | | 1st Half Goal Chance | 73% | — | The match exceeded our expected goals model significantly — a higher-scoring affair than the statistics suggested. ## Pre-Match Odds | Royale Union SG Win | Draw | H. Beer Sheva Win | | --- | --- | --- | | 1.40 | 5.00 | 7.60 | A predictable result, with the winner heavily favoured at 1.40. --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*