DC United 2–1 New York Red Bulls — Match Recap & Tip Analysis

DC United faced New York Red Bulls in MLS on 15 October 2026. The match ended **2–1**, with DC United taking the victory over New York Red Bulls. We placed **6 tips** on this match — **4 won** and **2 lost** (67% hit rate). ## Tip Results ✅ **Double Chance (1X)** @ 1.40 (confidence: 72%) — **WON** The 2–1 result covered this double chance selection. ✅ **Under 3.5 Goals** @ 1.66 (confidence: 68%) — **WON** 3 goals — clear of the 3.5 line. ❌ **Under 4.5 Cards** @ 1.73 (confidence: 57%) — **LOST** 7 cards — the 4.5 line went the other way. ✅ **Over 8.5 Corners** @ 1.43 (confidence: 68%) — **WON** 14 corners — clear of the 8.5 line. ✅ **Under 2.5 Goals (2nd Half)** @ 1.36 (confidence: 78%) — **WON** ⭐ Main Tip 1 second-half goal — clear of the 2.5 line. ❌ **Correct Score: 0-1** @ 15.00 (confidence: 16%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Double Chance (1X) | 1.40 | 72% | ✅ WON | | Under 3.5 Goals | 1.66 | 68% | ✅ WON | | Under 4.5 Cards | 1.73 | 57% | ❌ LOST | | Over 8.5 Corners | 1.43 | 68% | ✅ WON | | Under 2.5 Goals (2nd Half) ⭐ | 1.36 | 78% | ✅ WON | | Correct Score: 0-1 | 15.00 | 16% | ❌ LOST | **Overall: 4 of 6 tips won** (67% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 2.85 | 3 | | Corners | 10.4 | 14 | | Yellow Cards | 4.3 | 7 | | 1st Half Goal Chance | 71% | — | The actual goals were close to our expected model, confirming our statistical analysis was well-calibrated. ## Head-to-Head History 23.04.26 New York Red Bulls 4-4 DC United | 25.05.25 DC United 0-2 New York Red Bulls | 20.04.25 New York Red Bulls 1-2 DC United | 25.01.25 New York Red Bulls 1-1 DC United | 30.06.24 New York Red Bulls 2-2 DC United ## Pre-Match Odds | DC United Win | Draw | New York Red Bulls Win | | --- | --- | --- | | 2.22 | 4.00 | 3.65 | --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*