Academico Viseu 2–1 Vitoria Guimaraes — Match Recap & Tip Analysis

Academico Viseu faced Vitoria Guimaraes in Primeira Liga on 12 September 2026. The match ended **2–1**, with Academico Viseu taking the victory over Vitoria Guimaraes. We placed **6 tips** on this match — **5 won** and **1 lost** (83% hit rate). ## Tip Results ✅ **Double Chance (1X)** @ 1.82 (confidence: 59%) — **WON** The 2–1 result covered this double chance selection. ✅ **Under 3.5 Goals** @ 1.30 (confidence: 81%) — **WON** ⭐ Main Tip 3 goals — clear of the 3.5 line. ✅ **Over 3.5 Cards** @ 1.65 (confidence: 63%) — **WON** This prediction was correct. ✅ **Over 7.5 Corners** @ 1.75 (confidence: 55%) — **WON** The corner count went our way. ✅ **Under 1.5 Goals (1st Half)** @ 1.38 (confidence: 76%) — **WON** The first half stayed under 1.5 goals as predicted. ❌ **Correct Score: 0-0** @ 9.00 (confidence: 18%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Double Chance (1X) | 1.82 | 59% | ✅ WON | | Under 3.5 Goals ⭐ | 1.30 | 81% | ✅ WON | | Over 3.5 Cards | 1.65 | 63% | ✅ WON | | Over 7.5 Corners | 1.75 | 55% | ✅ WON | | Under 1.5 Goals (1st Half) | 1.38 | 76% | ✅ WON | | Correct Score: 0-0 | 9.00 | 18% | ❌ LOST | **Overall: 5 of 6 tips won** (83% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 2.26 | 3 | | Corners | 8.2 | — | | Yellow Cards | 4.6 | — | | 1st Half Goal Chance | 63% | — | The actual goals were close to our expected model, confirming our statistical analysis was well-calibrated. ## Head-to-Head History 14.05.89 Vitoria Guimaraes 5-0 Academico Viseu | 18.12.88 Academico Viseu 2-1 Vitoria Guimaraes | 09.05.82 Vitoria Guimaraes 3-0 Academico Viseu ## Pre-Match Odds | Academico Viseu Win | Draw | Vitoria Guimaraes Win | | --- | --- | --- | | 3.80 | 3.45 | 2.07 | An upset result — the market had the winner as the underdog at 3.80. --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*