FC Rapid Bucuresti 3–1 FC Arges — Match Recap & Tip AnalysisFC Rapid Bucuresti faced FC Arges in Liga 1 on 18 September 2026. The match ended **3–1**, with FC Rapid Bucuresti taking the victory over FC Arges. We placed **6 tips** on this match — **3 won** and **3 lost** (50% hit rate). ## Tip Results ✅ **FC Rapid Bucuresti to Win** @ 1.62 (confidence: 65%) — **WON** This prediction was correct. ❌ **Under 2.5 Goals** @ 1.70 (confidence: 63%) — **LOST** ⭐ Main Tip 4 goals — the 2.5 line went the other way. ✅ **Under 5.5 Cards** @ 1.47 (confidence: 65%) — **WON** 0 cards — clear of the 5.5 line. ❌ **Under 9.5 Corners** @ 1.75 (confidence: 59%) — **LOST** 14 corners — the 9.5 line went the other way. ✅ **Under 1.5 Goals (1st Half)** @ 1.34 (confidence: 77%) — **WON** 1 first-half goal — clear of the 1.5 line. ❌ **Correct Score: 1-0** @ 5.65 (confidence: 29%) — **LOST** This prediction missed. ## Summary | Tip | Odds | Confidence | Result | | --- | --- | --- | --- | | FC Rapid Bucuresti to Win | 1.62 | 65% | ✅ WON | | Under 2.5 Goals ⭐ | 1.70 | 63% | ❌ LOST | | Under 5.5 Cards | 1.47 | 65% | ✅ WON | | Under 9.5 Corners | 1.75 | 59% | ❌ LOST | | Under 1.5 Goals (1st Half) | 1.34 | 77% | ✅ WON | | Correct Score: 1-0 | 5.65 | 29% | ❌ LOST | **Overall: 3 of 6 tips won** (50% hit rate). ## Statistical Analysis | Stat | Expected | Actual | | --- | --- | --- | | Goals | 2.16 | 4 | | Corners | 9.0 | 14 | | Yellow Cards | 4.8 | 4 | | 1st Half Goal Chance | 61% | Yes (1) | The match exceeded our expected goals model significantly — a higher-scoring affair than the statistics suggested. ## Head-to-Head History 15.05.26 FC Arges 2-2 FC Rapid Bucuresti | 13.04.26 FC Rapid Bucuresti 0-0 FC Arges | 02.12.25 FC Arges 2-1 FC Rapid Bucuresti | 08.11.25 FC Rapid Bucuresti 2-0 FC Arges | 11.07.25 FC Arges 0-2 FC Rapid Bucuresti ## Pre-Match Odds | FC Rapid Bucuresti Win | Draw | FC Arges Win | | --- | --- | --- | | 1.62 | 3.90 | 6.00 | --- *This match recap was automatically generated by EagleTips from real match data, market odds and our own statistical model.*