Silkeborg 1–1 Nordsjaelland — Match Recap & Tip Analysis

Silkeborg faced Nordsjaelland in Superliga on 25 October 2026. The match ended **1–1** in a draw. We placed **7 tips** on this match — **5 won** and **2 lost** (71% hit rate). ## Tip Results ❌ **Nordsjaelland to Win** @ 1.55 (confidence: 62%) — **LOST** This prediction missed. ✅ **Under 4.5 Goals** @ 1.34 (confidence: 73%) — **WON** 2 goals — clear of the 4.5 line. ✅ **Both Teams to Score or Over 2.5 Goals** @ 1.25 (confidence: 75%) — **WON** 2 goals — clear of the 2.5 line. ❌ **Under 4.5 Cards** @ 1.37 (confidence: 75%) — **LOST** ⭐ Main Tip 7 cards — the 4.5 line went the other way. ✅ **Under 11.5 Corners** @ 1.34 (confidence: 73%) — **WON** 8 corners — clear of the 11.5 line. ✅ **Under 2.5 Goals (2nd Half)** @ 1.42 (confidence: 69%) — **WON** 1 second-half goal — clear of the 2.5 line. ✅ **Correct Score: 1-1** @ 8.70 (confidence: 9%) — **WON** This prediction was correct. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Nordsjaelland to Win | 1.55 | 62% | ❌ LOST | | Under 4.5 Goals | 1.34 | 73% | ✅ WON | | Both Teams to Score or Over 2.5 Goals | 1.25 | 75% | ✅ WON | | Under 4.5 Cards ⭐ | 1.37 | 75% | ❌ LOST | | Under 11.5 Corners | 1.34 | 73% | ✅ WON | | Under 2.5 Goals (2nd Half) | 1.42 | 69% | ✅ WON | | Correct Score: 1-1 | 8.70 | 9% | ✅ WON | **Overall: 5 of 7 tips won** (71% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 3.49 | 2 | | Corners | 9.6 | 8 | | Yellow Cards | 3.3 | 7 | | 1st Half Goal Chance | 78% | — | Fewer goals than our model predicted. The defences outperformed expectations. ## Head-to-Head History 16.08.26 Nordsjaelland 1-0 Silkeborg | 07.12.25 Nordsjaelland 5-0 Silkeborg | 10.08.25 Silkeborg 4-2 Nordsjaelland | 20.10.24 Nordsjaelland 1-1 Silkeborg | 18.08.24 Silkeborg 4-1 Nordsjaelland ## Pre-Match Odds | Silkeborg Win | Draw | Nordsjaelland Win | | --- | --- | --- | | 5.40 | 4.70 | 1.56 | --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*