Cardiff 5–4 Burnley — Match Recap & Tip Analysis

Cardiff faced Burnley in Championship on 7 November 2026. The match ended **5–4**, with Cardiff taking the victory over Burnley. We placed **7 tips** on this match — **5 won** and **2 lost** (71% hit rate). ## Tip Results ✅ **Cardiff to Win** @ 2.00 (confidence: 54%) — **WON** The match produced 7 cards. ✅ **Over 2.5 Goals** @ 1.47 (confidence: 71%) — **WON** ⭐ Main Tip 9 goals — clear of the 2.5 line. ✅ **Both Teams to Score or Over 2.5 Goals** @ 1.27 (confidence: 77%) — **WON** 9 goals — clear of the 2.5 line. ✅ **Over 3.5 Cards** @ 1.87 (confidence: 64%) — **WON** 7 cards — clear of the 3.5 line. ❌ **Under 10.5 Corners** @ 1.68 (confidence: 57%) — **LOST** 11 corners — the 10.5 line went the other way. ✅ **Over 1.5 Goals (2nd Half)** @ 1.70 (confidence: 60%) — **WON** 6 second-half goals — clear of the 1.5 line. ❌ **Correct Score: 2-1** @ 8.20 (confidence: 8%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Cardiff to Win | 2.00 | 54% | ✅ WON | | Over 2.5 Goals ⭐ | 1.47 | 71% | ✅ WON | | Both Teams to Score or Over 2.5 Goals | 1.27 | 77% | ✅ WON | | Over 3.5 Cards | 1.87 | 64% | ✅ WON | | Under 10.5 Corners | 1.68 | 57% | ❌ LOST | | Over 1.5 Goals (2nd Half) | 1.70 | 60% | ✅ WON | | Correct Score: 2-1 | 8.20 | 8% | ❌ LOST | **Overall: 5 of 7 tips won** (71% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 3.65 | 9 | | Corners | 10.2 | 11 | | Yellow Cards | 4.7 | 7 | | 1st Half Goal Chance | 80% | — | The match exceeded our expected goals model significantly — a higher-scoring affair than the statistics suggested. ## Head-to-Head History 23.09.25 Burnley 1-2 Cardiff | 04.03.25 Cardiff 1-2 Burnley | 17.08.24 Burnley 5-0 Cardiff | 08.05.23 Burnley 3-0 Cardiff | 01.10.22 Cardiff 1-1 Burnley ## Pre-Match Odds | Cardiff Win | Draw | Burnley Win | | --- | --- | --- | | 2.00 | 3.90 | 3.40 | --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*