Los Angeles FC 3–1 Austin FC — Match Recap & Tip Analysis

Los Angeles FC faced Austin FC in MLS on 15 October 2026. The match ended **3–1**, with Los Angeles FC taking the victory over Austin FC. We placed **6 tips** on this match — **2 won** and **4 lost** (33% hit rate). ## Tip Results ✅ **Los Angeles FC to Win** @ 1.47 (confidence: 96%) — **WON** ⭐ Main Tip This prediction was correct. ❌ **Under 2.5 Goals** @ 2.62 (confidence: 53%) — **LOST** 4 goals — the 2.5 line went the other way. ❌ **Over 0.5 Cards** @ 1.72 (confidence: 86%) — **LOST** 0 cards — the 0.5 line went the other way. ✅ **Under 14.5 Corners** @ 2.75 (confidence: 83%) — **WON** 12 corners — clear of the 14.5 line. ❌ **Under 2.5 Goals (2nd Half)** @ 1.33 (confidence: 78%) — **LOST** 4 second-half goals — the 2.5 line went the other way. ❌ **Correct Score: 1-0** @ 9.00 (confidence: 14%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Los Angeles FC to Win ⭐ | 1.47 | 96% | ✅ WON | | Under 2.5 Goals | 2.62 | 53% | ❌ LOST | | Over 0.5 Cards | 1.72 | 86% | ❌ LOST | | Under 14.5 Corners | 2.75 | 83% | ✅ WON | | Under 2.5 Goals (2nd Half) | 1.33 | 78% | ❌ LOST | | Correct Score: 1-0 | 9.00 | 14% | ❌ LOST | **Overall: 2 of 6 tips won** (33% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 2.54 | 4 | | Corners | 11.0 | 12 | | Yellow Cards | 2.3 | 0 | | 1st Half Goal Chance | 67% | — | The match exceeded our expected goals model significantly — a higher-scoring affair than the statistics suggested. ## Head-to-Head History 22.03.26 Austin FC 0-0 Los Angeles FC | 03.11.25 Austin FC 1-4 Los Angeles FC | 30.10.25 Los Angeles FC 2-1 Austin FC | 13.10.25 Austin FC 1-0 Los Angeles FC | 15.03.25 Los Angeles FC 0-1 Austin FC ## Pre-Match Odds | Los Angeles FC Win | Draw | Austin FC Win | | --- | --- | --- | | 1.47 | 40.00 | 150.00 | A predictable result, with the winner heavily favoured at 1.47. --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*