San Diego FC 2–2 Seattle Sounders — Match Recap & Tip AnalysisSan Diego FC faced Seattle Sounders in MLS on 25 October 2026. The match ended **2–2** in a draw. We placed **7 tips** on this match — **5 won** and **2 lost** (71% hit rate). ## Tip Results ✅ **Double Chance (1X)** @ 1.47 (confidence: 66%) — **WON** The 2–2 result covered this double chance selection. ✅ **Over 2.5 Goals** @ 1.44 (confidence: 73%) — **WON** ⭐ Main Tip 4 goals — clear of the 2.5 line. ✅ **Both Teams to Score or Over 2.5 Goals** @ 1.23 (confidence: 79%) — **WON** 4 goals — clear of the 2.5 line. ✅ **Under 4.5 Cards** @ 1.45 (confidence: 67%) — **WON** 2 cards — clear of the 4.5 line. ❌ **Over 9.5 Corners** @ 1.77 (confidence: 57%) — **LOST** 8 corners — the 9.5 line went the other way. ✅ **Over 1.5 Goals (2nd Half)** @ 1.63 (confidence: 63%) — **WON** 4 second-half goals — clear of the 1.5 line. ❌ **Correct Score: 1-2** @ 9.90 (confidence: 8%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Double Chance (1X) | 1.47 | 66% | ✅ WON | | Over 2.5 Goals ⭐ | 1.44 | 73% | ✅ WON | | Both Teams to Score or Over 2.5 Goals | 1.23 | 79% | ✅ WON | | Under 4.5 Cards | 1.45 | 67% | ✅ WON | | Over 9.5 Corners | 1.77 | 57% | ❌ LOST | | Over 1.5 Goals (2nd Half) | 1.63 | 63% | ✅ WON | | Correct Score: 1-2 | 9.90 | 8% | ❌ LOST | **Overall: 5 of 7 tips won** (71% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 3.81 | 4 | | Corners | 10.4 | 8 | | Yellow Cards | 3.7 | 2 | | 1st Half Goal Chance | 81% | — | The actual goals were close to our expected model, confirming our statistical analysis was well-calibrated. ## Head-to-Head History 10.05.26 Seattle Sounders 1-1 San Diego FC | 29.05.25 Seattle Sounders 1-0 San Diego FC | 06.04.25 San Diego FC 3-0 Seattle Sounders ## Pre-Match Odds | San Diego FC Win | Draw | Seattle Sounders Win | | --- | --- | --- | | 2.30 | 3.85 | 2.82 | --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*