Celta Vigo 0–2 Ath Bilbao — Match Recap & Tip Analysis

Celta Vigo faced Ath Bilbao in LaLiga on 30 August 2026. The match ended **0–2**, with Ath Bilbao taking the victory over Celta Vigo. We placed **6 tips** on this match — **3 won** and **3 lost** (50% hit rate). ## Tip Results ❌ **Double Chance (1X)** @ 1.39 (confidence: 72%) — **LOST** The result fell outside the double chance coverage. ✅ **Under 2.5 Goals** @ 1.75 (confidence: 56%) — **WON** With 2 total goals, the match stayed under the 2.5 line. ✅ **Under 5.5 Cards** @ 1.53 (confidence: 64%) — **WON** This prediction was correct. ✅ **Over 8.5 Corners** @ 1.70 (confidence: 58%) — **WON** The corner count went our way. ❌ **Under 1.5 Goals (1st Half)** @ 1.36 (confidence: 73%) — **LOST** ⭐ Main Tip The first half saw more than 1.5 goals, going against our under prediction. ❌ **Correct Score: 1-0** @ 7.20 (confidence: 14%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Double Chance (1X) | 1.39 | 72% | ❌ LOST | | Under 2.5 Goals | 1.75 | 56% | ✅ WON | | Under 5.5 Cards | 1.53 | 64% | ✅ WON | | Over 8.5 Corners | 1.70 | 58% | ✅ WON | | Under 1.5 Goals (1st Half) ⭐ | 1.36 | 73% | ❌ LOST | | Correct Score: 1-0 | 7.20 | 14% | ❌ LOST | **Overall: 3 of 6 tips won** (50% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 2.44 | 2 | | Corners | 9.5 | 11 | | Yellow Cards | 4.9 | 3 | | 1st Half Goal Chance | 66% | Yes (2) | The actual goals were close to our expected model, confirming our statistical analysis was well-calibrated. ## Head-to-Head History 17.05.26 Ath Bilbao 1-1 Celta Vigo | 14.12.25 Celta Vigo 2-0 Ath Bilbao | 19.01.25 Celta Vigo 1-2 Ath Bilbao | 22.09.24 Ath Bilbao 3-1 Celta Vigo | 15.05.24 Celta Vigo 2-1 Ath Bilbao ## Pre-Match Odds | Celta Vigo Win | Draw | Ath Bilbao Win | | --- | --- | --- | | 2.40 | 3.20 | 3.10 | An upset result — the market had the winner as the underdog at 3.10. --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*