Sturm Graz 2–2 Ried — Match Recap & Tip Analysis

Sturm Graz faced Ried in Austrian Bundesliga on 25 October 2026. The match ended **2–2** in a draw. We placed **7 tips** on this match — **6 won** and **1 lost** (86% hit rate). ## Tip Results ✅ **Double Chance (1X)** @ 1.23 (confidence: 79%) — **WON** The 2–2 result covered this double chance selection. ✅ **Over 2.5 Goals** @ 1.45 (confidence: 68%) — **WON** 4 goals — clear of the 2.5 line. ✅ **Both Teams to Score or Over 2.5 Goals** @ 1.27 (confidence: 76%) — **WON** 4 goals — clear of the 2.5 line. ✅ **Under 5.5 Cards** @ 1.37 (confidence: 69%) — **WON** ⭐ Main Tip 5 cards — clear of the 5.5 line. ✅ **Over 8.5 Corners** @ 1.60 (confidence: 63%) — **WON** 10 corners — clear of the 8.5 line. ✅ **Over 1.5 Goals (2nd Half)** @ 1.67 (confidence: 58%) — **WON** 2 second-half goals — clear of the 1.5 line. ❌ **Correct Score: 1-2** @ 14.00 (confidence: 9%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Double Chance (1X) | 1.23 | 79% | ✅ WON | | Over 2.5 Goals | 1.45 | 68% | ✅ WON | | Both Teams to Score or Over 2.5 Goals | 1.27 | 76% | ✅ WON | | Under 5.5 Cards ⭐ | 1.37 | 69% | ✅ WON | | Over 8.5 Corners | 1.60 | 63% | ✅ WON | | Over 1.5 Goals (2nd Half) | 1.67 | 58% | ✅ WON | | Correct Score: 1-2 | 14.00 | 9% | ❌ LOST | **Overall: 6 of 7 tips won** (86% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 3.52 | 4 | | Corners | 9.9 | 10 | | Yellow Cards | 4.5 | 5 | | 1st Half Goal Chance | 79% | — | The actual goals were close to our expected model, confirming our statistical analysis was well-calibrated. ## Head-to-Head History 08.02.26 Sturm Graz 1-0 Ried | 16.08.25 Ried 1-3 Sturm Graz | 28.08.24 Ried 1-3 Sturm Graz | 30.10.22 Sturm Graz 2-1 Ried | 06.08.22 Ried 1-1 Sturm Graz ## Pre-Match Odds | Sturm Graz Win | Draw | Ried Win | | --- | --- | --- | | 1.67 | 4.35 | 4.65 | --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*