Auxerre 1–1 Le Mans — Match Recap & Tip AnalysisAuxerre faced Le Mans in Ligue 1 on 25 October 2026. The match ended **1–1** in a draw. We placed **7 tips** on this match — **3 won** and **4 lost** (43% hit rate). ## Tip Results ✅ **Double Chance (X2)** @ 1.75 (confidence: 56%) — **WON** The 1–1 result covered this double chance selection. ❌ **Over 2.5 Goals** @ 1.70 (confidence: 71%) — **LOST** 2 goals — the 2.5 line went the other way. ✅ **Both Teams to Score or Over 2.5 Goals** @ 1.40 (confidence: 76%) — **WON** 2 goals — clear of the 2.5 line. ✅ **Under 5.5 Cards** @ 1.32 (confidence: 73%) — **WON** 3 cards — clear of the 5.5 line. ❌ **Over 8.5 Corners** @ 1.57 (confidence: 65%) — **LOST** 8 corners — the 8.5 line went the other way. ❌ **Over 0.5 Goals (1st Half)** @ 1.34 (confidence: 80%) — **LOST** ⭐ Main Tip 0 first-half goals — the 0.5 line went the other way. ❌ **Correct Score: 2-2** @ 11.00 (confidence: 7%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Double Chance (X2) | 1.75 | 56% | ✅ WON | | Over 2.5 Goals | 1.70 | 71% | ❌ LOST | | Both Teams to Score or Over 2.5 Goals | 1.40 | 76% | ✅ WON | | Under 5.5 Cards | 1.32 | 73% | ✅ WON | | Over 8.5 Corners | 1.57 | 65% | ❌ LOST | | Over 0.5 Goals (1st Half) ⭐ | 1.34 | 80% | ❌ LOST | | Correct Score: 2-2 | 11.00 | 7% | ❌ LOST | **Overall: 3 of 7 tips won** (43% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 3.65 | 2 | | Corners | 10.1 | 8 | | Yellow Cards | 4.2 | 3 | | 1st Half Goal Chance | 80% | No | Fewer goals than our model predicted. The defences outperformed expectations. ## Head-to-Head History 01.08.20 Auxerre 3-2 Le Mans | 10.01.20 Le Mans 0-1 Auxerre | 02.08.19 Auxerre 2-0 Le Mans | 25.01.13 Auxerre 1-1 Le Mans | 20.08.12 Le Mans 3-1 Auxerre ## Pre-Match Odds | Auxerre Win | Draw | Le Mans Win | | --- | --- | --- | | 2.12 | 3.65 | 3.30 | --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*