U. Cluj 2–2 FC Arges — Match Recap & Tip Analysis

U. Cluj faced FC Arges in Liga 1 on 19 October 2026. The match ended **2–2** in a draw. We placed **7 tips** on this match — **5 won** and **2 lost** (71% hit rate). ## Tip Results ✅ **Double Chance (1X)** @ 1.22 (confidence: 81%) — **WON** The 2–2 result covered this double chance selection. ✅ **Over 2.5 Goals** @ 2.07 (confidence: 55%) — **WON** 4 goals — clear of the 2.5 line. ❌ **Both Teams to Score & Over 2.5 Goals (No)** @ 1.50 (confidence: 67%) — **LOST** 4 goals — the 2.5 line went the other way. ✅ **Over 3.5 Cards** @ 1.40 (confidence: 71%) — **WON** 7 cards — clear of the 3.5 line. ✅ **Over 7.5 Corners** @ 1.34 (confidence: 73%) — **WON** ⭐ Main Tip 14 corners — clear of the 7.5 line. ✅ **Over 0.5 Goals (1st Half)** @ 1.39 (confidence: 73%) — **WON** 3 first-half goals — clear of the 0.5 line. ❌ **Correct Score: 3-0** @ 14.00 (confidence: 16%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | Double Chance (1X) | 1.22 | 81% | ✅ WON | | Over 2.5 Goals | 2.07 | 55% | ✅ WON | | Both Teams to Score & Over 2.5 Goals (No) | 1.50 | 67% | ❌ LOST | | Over 3.5 Cards | 1.40 | 71% | ✅ WON | | Over 7.5 Corners ⭐ | 1.34 | 73% | ✅ WON | | Over 0.5 Goals (1st Half) | 1.39 | 73% | ✅ WON | | Correct Score: 3-0 | 14.00 | 16% | ❌ LOST | **Overall: 5 of 7 tips won** (71% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 2.89 | 4 | | Corners | 9.8 | 14 | | Yellow Cards | 5.1 | 7 | | 1st Half Goal Chance | 72% | Yes (3) | The match exceeded our expected goals model significantly — a higher-scoring affair than the statistics suggested. ## Head-to-Head History 02.05.26 U. Cluj 1-0 FC Arges | 21.04.26Pen FC Arges 1-1 U. Cluj | 21.03.26 FC Arges 0-1 U. Cluj | 03.02.26 U. Cluj 3-1 FC Arges | 20.09.25 FC Arges 1-0 U. Cluj ## Pre-Match Odds | U. Cluj Win | Draw | FC Arges Win | | --- | --- | --- | | 1.83 | 4.00 | 5.45 | --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*