Portland Timbers 3–2 Charlotte — Match Recap & Tip Analysis

Portland Timbers faced Charlotte in MLS on 25 October 2026. The match ended **3–2**, with Portland Timbers taking the victory over Charlotte. We placed **7 tips** on this match — **5 won** and **2 lost** (71% hit rate). ## Tip Results ✅ **Double Chance (1X)** @ 1.39 (confidence: 69%) — **WON** The 3–2 result covered this double chance selection. ❌ **Under 3.5 Goals** @ 1.91 (confidence: 58%) — **LOST** 5 goals — the 3.5 line went the other way. ✅ **Both Teams to Score or Over 2.5 Goals** @ 1.20 (confidence: 71%) — **WON** 5 goals — clear of the 2.5 line. ✅ **Under 6.5 Cards** @ 1.37 (confidence: 71%) — **WON** 2 cards — clear of the 6.5 line. ✅ **Over 8.5 Corners** @ 1.34 (confidence: 72%) — **WON** ⭐ Main Tip 12 corners — clear of the 8.5 line. ✅ **Under 2.5 Goals (2nd Half)** @ 1.50 (confidence: 72%) — **WON** 2 second-half goals — clear of the 2.5 line. ❌ **Correct Score: 0-1** @ 18.00 (confidence: 14%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Double Chance (1X) | 1.39 | 69% | ✅ WON | | Under 3.5 Goals | 1.91 | 58% | ❌ LOST | | Both Teams to Score or Over 2.5 Goals | 1.20 | 71% | ✅ WON | | Under 6.5 Cards | 1.37 | 71% | ✅ WON | | Over 8.5 Corners ⭐ | 1.34 | 72% | ✅ WON | | Under 2.5 Goals (2nd Half) | 1.50 | 72% | ✅ WON | | Correct Score: 0-1 | 18.00 | 14% | ❌ LOST | **Overall: 5 of 7 tips won** (71% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 3.29 | 5 | | Corners | 10.8 | 12 | | Yellow Cards | 5.3 | 2 | | 1st Half Goal Chance | 76% | — | The match exceeded our expected goals model significantly — a higher-scoring affair than the statistics suggested. ## Head-to-Head History 15.02.25 Charlotte 2-0 Portland Timbers | 05.05.24 Charlotte 2-0 Portland Timbers ## Pre-Match Odds | Portland Timbers Win | Draw | Charlotte Win | | --- | --- | --- | | 2.07 | 4.05 | 3.10 | --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*