New York Red Bulls 0–2 Toronto FC — Match Recap & Tip Analysis

New York Red Bulls faced Toronto FC in MLS on 18 October 2026. The match ended **0–2**, with Toronto FC taking the victory over New York Red Bulls. We placed **6 tips** on this match — **3 won** and **3 lost** (50% hit rate). ## Tip Results ❌ **New York Red Bulls to Win** @ 2.07 (confidence: 51%) — **LOST** This prediction missed. ✅ **Under 3.5 Goals** @ 1.90 (confidence: 56%) — **WON** 2 goals — clear of the 3.5 line. ❌ **Both Teams to Score or Over 2.5 Goals** @ 1.25 (confidence: 70%) — **LOST** 2 goals — the 2.5 line went the other way. ✅ **Under 4.5 Cards** @ 1.56 (confidence: 63%) — **WON** 3 cards — clear of the 4.5 line. ✅ **Under 12.5 Corners** @ 1.35 (confidence: 72%) — **WON** ⭐ Main Tip 8 corners — clear of the 12.5 line. ❌ **Correct Score: 1-1** @ 8.70 (confidence: 10%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | New York Red Bulls to Win | 2.07 | 51% | ❌ LOST | | Under 3.5 Goals | 1.90 | 56% | ✅ WON | | Both Teams to Score or Over 2.5 Goals | 1.25 | 70% | ❌ LOST | | Under 4.5 Cards | 1.56 | 63% | ✅ WON | | Under 12.5 Corners ⭐ | 1.35 | 72% | ✅ WON | | Correct Score: 1-1 | 8.70 | 10% | ❌ LOST | **Overall: 3 of 6 tips won** (50% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 3.39 | 2 | | Corners | 10.5 | 8 | | Yellow Cards | 4.0 | 3 | | 1st Half Goal Chance | 77% | — | Fewer goals than our model predicted. The defences outperformed expectations. ## Head-to-Head History 14.03.26 Toronto FC 1-1 New York Red Bulls | 26.06.25 Toronto FC 1-1 New York Red Bulls | 23.03.25 New York Red Bulls 2-1 Toronto FC | 03.10.24 Toronto FC 1-4 New York Red Bulls | 28.07.24Pen New York Red Bulls 0-0 Toronto FC ## Pre-Match Odds | New York Red Bulls Win | Draw | Toronto FC Win | | --- | --- | --- | | 2.07 | 4.30 | 3.90 | An upset result — the market had the winner as the underdog at 3.90. --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*