Sevilla 2–0 Osasuna — Match Recap & Tip Analysis

Sevilla faced Osasuna in LaLiga on 26 October 2026. The match ended **2–0**, with Sevilla taking the victory over Osasuna. We placed **7 tips** on this match — **3 won** and **4 lost** (43% hit rate). ## Tip Results ✅ **Sevilla to Win** @ 1.90 (confidence: 53%) — **WON** This prediction was correct. ❌ **Over 2.5 Goals** @ 2.25 (confidence: 54%) — **LOST** 2 goals — the 2.5 line went the other way. ❌ **Both Teams to Score or Over 2.5 Goals** @ 1.71 (confidence: 63%) — **LOST** 2 goals — the 2.5 line went the other way. ✅ **Under 6.5 Cards** @ 1.37 (confidence: 70%) — **WON** 3 cards — clear of the 6.5 line. ❌ **Under 9.5 Corners** @ 1.56 (confidence: 66%) — **LOST** 11 corners — the 9.5 line went the other way. ✅ **Over 0.5 Goals (2nd Half)** @ 1.34 (confidence: 79%) — **WON** ⭐ Main Tip 1 second-half goal — clear of the 0.5 line. ❌ **Correct Score: 2-1** @ 8.50 (confidence: 9%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Sevilla to Win | 1.90 | 53% | ✅ WON | | Over 2.5 Goals | 2.25 | 54% | ❌ LOST | | Both Teams to Score or Over 2.5 Goals | 1.71 | 63% | ❌ LOST | | Under 6.5 Cards | 1.37 | 70% | ✅ WON | | Under 9.5 Corners | 1.56 | 66% | ❌ LOST | | Over 0.5 Goals (2nd Half) ⭐ | 1.34 | 79% | ✅ WON | | Correct Score: 2-1 | 8.50 | 9% | ❌ LOST | **Overall: 3 of 7 tips won** (43% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 2.82 | 2 | | Corners | 8.4 | 11 | | Yellow Cards | 5.3 | 3 | | 1st Half Goal Chance | 71% | — | The actual goals were close to our expected model, confirming our statistical analysis was well-calibrated. ## Head-to-Head History 26.04.26 Osasuna 2-1 Sevilla | 08.11.25 Sevilla 1-0 Osasuna | 24.04.25 Osasuna 1-0 Sevilla | 02.12.24 Sevilla 1-1 Osasuna | 28.01.24 Sevilla 1-1 Osasuna ## Pre-Match Odds | Sevilla Win | Draw | Osasuna Win | | --- | --- | --- | | 1.90 | 3.40 | 4.55 | --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*