Austin FC 1–2 Vancouver Whitecaps — Match Recap & Tip Analysis

Austin FC faced Vancouver Whitecaps in MLS on 18 October 2026. The match ended **1–2**, with Vancouver Whitecaps taking the victory over Austin FC. We placed **6 tips** on this match — **4 won** and **2 lost** (67% hit rate). ## Tip Results ✅ **Vancouver Whitecaps to Win** @ 1.63 (confidence: 58%) — **WON** This prediction was correct. ✅ **Under 3.5 Goals** @ 1.67 (confidence: 60%) — **WON** 3 goals — clear of the 3.5 line. ✅ **Both Teams to Score or Over 2.5 Goals** @ 1.30 (confidence: 70%) — **WON** ⭐ Main Tip 3 goals — clear of the 2.5 line. ❌ **Over 3.5 Cards** @ 1.52 (confidence: 67%) — **LOST** 3 cards — the 3.5 line went the other way. ✅ **Over 8.5 Corners** @ 1.46 (confidence: 67%) — **WON** 10 corners — clear of the 8.5 line. ❌ **Correct Score: 1-1** @ 8.20 (confidence: 11%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Vancouver Whitecaps to Win | 1.63 | 58% | ✅ WON | | Under 3.5 Goals | 1.67 | 60% | ✅ WON | | Both Teams to Score or Over 2.5 Goals ⭐ | 1.30 | 70% | ✅ WON | | Over 3.5 Cards | 1.52 | 67% | ❌ LOST | | Over 8.5 Corners | 1.46 | 67% | ✅ WON | | Correct Score: 1-1 | 8.20 | 11% | ❌ LOST | **Overall: 4 of 6 tips won** (67% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 3.23 | 3 | | Corners | 10.3 | 10 | | Yellow Cards | 4.8 | 3 | | 1st Half Goal Chance | 76% | — | The actual goals were close to our expected model, confirming our statistical analysis was well-calibrated. ## Head-to-Head History 14.09.26 Vancouver Whitecaps 1-2 Austin FC | 18.05.25 Austin FC 0-0 Vancouver Whitecaps | 13.04.25 Vancouver Whitecaps 5-1 Austin FC | 01.09.24 Austin FC 0-1 Vancouver Whitecaps | 05.05.24 Vancouver Whitecaps 0-0 Austin FC ## Pre-Match Odds | Austin FC Win | Draw | Vancouver Whitecaps Win | | --- | --- | --- | | 4.70 | 4.40 | 1.63 | --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*