Lyngby 0–4 Silkeborg — Match Recap & Tip Analysis

Lyngby faced Silkeborg in Superliga on 18 September 2026. The match ended **0–4**, with Silkeborg taking the victory over Lyngby. We placed **6 tips** on this match — **2 won** and **4 lost** (33% hit rate). ## Tip Results ✅ **Double Chance (X2)** @ 1.95 (confidence: 50%) — **WON** The 0–4 result covered this double chance selection. ❌ **Under 3.5 Goals** @ 1.67 (confidence: 66%) — **LOST** ⭐ Main Tip 4 goals — the 3.5 line went the other way. ✅ **Under 4.5 Cards** @ 1.44 (confidence: 67%) — **WON** 0 cards — clear of the 4.5 line. ❌ **Over 9.5 Corners** @ 1.75 (confidence: 55%) — **LOST** 8 corners — the 9.5 line went the other way. ❌ **Under 2.5 Goals (2nd Half)** @ 1.38 (confidence: 77%) — **LOST** 3 second-half goals — the 2.5 line went the other way. ❌ **Correct Score: 1-0** @ 10.00 (confidence: 15%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Double Chance (X2) | 1.95 | 50% | ✅ WON | | Under 3.5 Goals ⭐ | 1.67 | 66% | ❌ LOST | | Under 4.5 Cards | 1.44 | 67% | ✅ WON | | Over 9.5 Corners | 1.75 | 55% | ❌ LOST | | Under 2.5 Goals (2nd Half) | 1.38 | 77% | ❌ LOST | | Correct Score: 1-0 | 10.00 | 15% | ❌ LOST | **Overall: 2 of 6 tips won** (33% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 2.93 | 4 | | Corners | 10.2 | 8 | | Yellow Cards | 3.8 | 5 | | 1st Half Goal Chance | 72% | — | The match exceeded our expected goals model significantly — a higher-scoring affair than the statistics suggested. ## Head-to-Head History 27.04.25 Lyngby 2-0 Silkeborg | 06.04.25 Silkeborg 2-1 Lyngby | 09.03.25 Silkeborg 0-1 Lyngby | 29.09.24 Lyngby 2-2 Silkeborg | 03.12.23 Lyngby 2-0 Silkeborg ## Pre-Match Odds | Lyngby Win | Draw | Silkeborg Win | | --- | --- | --- | | 1.90 | 4.00 | 3.75 | An upset result — the market had the winner as the underdog at 3.75. --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*