St. Louis City 0–1 San Diego FC — Match Recap & Tip Analysis

St. Louis City faced San Diego FC in MLS on 31 October 2026. The match ended **0–1**, with San Diego FC taking the victory over St. Louis City. We placed **6 tips** on this match — **2 won** and **4 lost** (33% hit rate). ## Tip Results ❌ **Double Chance (1X)** @ 1.33 (confidence: 72%) — **LOST** ⭐ Main Tip The result fell outside the double chance coverage. ❌ **Over 3.5 Goals** @ 1.97 (confidence: 64%) — **LOST** 1 goal — the 3.5 line went the other way. ❌ **Both Teams to Score or Over 2.5 Goals** @ 1.22 (confidence: 83%) — **LOST** 1 goal — the 2.5 line went the other way. ✅ **Under 5.5 Cards** @ 1.44 (confidence: 73%) — **WON** 3 cards — clear of the 5.5 line. ✅ **Under 9.5 Corners** @ 1.87 (confidence: 53%) — **WON** 7 corners — clear of the 9.5 line. ❌ **Over 1.5 Goals (2nd Half)** @ 1.60 (confidence: 70%) — **LOST** 0 second-half goals — the 1.5 line went the other way. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Double Chance (1X) ⭐ | 1.33 | 72% | ❌ LOST | | Over 3.5 Goals | 1.97 | 64% | ❌ LOST | | Both Teams to Score or Over 2.5 Goals | 1.22 | 83% | ❌ LOST | | Under 5.5 Cards | 1.44 | 73% | ✅ WON | | Under 9.5 Corners | 1.87 | 53% | ✅ WON | | Over 1.5 Goals (2nd Half) | 1.60 | 70% | ❌ LOST | **Overall: 2 of 6 tips won** (33% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 4.38 | 1 | | Corners | 9.5 | 7 | | Yellow Cards | 4.3 | 3 | | 1st Half Goal Chance | 85% | — | Fewer goals than our model predicted. The defences outperformed expectations. ## Head-to-Head History 02.03.26 San Diego FC 2-0 St. Louis City | 11.05.25 St. Louis City 1-2 San Diego FC | 02.03.25 San Diego FC 0-0 St. Louis City ## Pre-Match Odds | St. Louis City Win | Draw | San Diego FC Win | | --- | --- | --- | | 1.92 | 4.20 | 3.45 | An upset result — the market had the winner as the underdog at 3.45. --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*