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OverpassMap 1
AncientMap 2
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Map Results
L
FURIA
L–W
W
Vitality
Duration: 55:38
L
FURIA
L–W
W
Vitality
Duration: 48:06
Streams
Map Breakdown
Series best: ZywOo — 1.61 average rating across 2 maps.
Ancient
Vitality 13–10 FURIAVitality1st half 6 · 2nd half 7CT 6/12 · T 7/11Pistols 2/2
FURIA1st half 6 · 2nd half 4CT 4/11 · T 6/12Pistols 0/2
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| ZywOoVitality | 27 | 14 | 8 | +13 | 96.7 | 78% | 1.57 |
| flameZVitality | 18 | 15 | 4 | +3 | 87.4 | 83% | 1.44 |
| apEXVitality | 19 | 14 | 8 | +5 | 74.0 | 65% | 1.20 |
| ropzVitality | 15 | 13 | 6 | +2 | 82.7 | 70% | 1.12 |
| yuurihFURIA | 20 | 18 | 5 | +2 | 89.6 | 70% | 1.11 |
| KSCERATOFURIA | 14 | 17 | 7 | -3 | 80.0 | 74% | 1.03 |
| YEKINDARFURIA | 17 | 17 | 4 | +0 | 77.8 | 57% | 0.92 |
| FalleNFURIA | 9 | 16 | 8 | -7 | 58.3 | 70% | 0.73 |
| meziiVitality | 6 | 16 | 12 | -10 | 60.2 | 78% | 0.73 |
| molodoyFURIA | 12 | 17 | 1 | -5 | 50.7 | 57% | 0.63 |
Overpass
Vitality 13–10 FURIAVitality1st half 5 · 2nd half 8CT 8/11 · T 5/12Pistols 1/2
FURIA1st half 7 · 2nd half 3CT 7/12 · T 3/11Pistols 1/2
Vitality came back from 6 rounds down (0–6) to win the map.
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| KSCERATOFURIA | 22 | 11 | 9 | +11 | 106.7 | 91% | 1.68 |
| ZywOoVitality | 22 | 13 | 2 | +9 | 99.1 | 87% | 1.66 |
| yuurihFURIA | 23 | 15 | 6 | +8 | 85.7 | 78% | 1.40 |
| ropzVitality | 18 | 14 | 10 | +4 | 91.5 | 78% | 1.32 |
| apEXVitality | 15 | 16 | 7 | -1 | 73.9 | 70% | 1.10 |
| flameZVitality | 12 | 15 | 5 | -3 | 46.7 | 70% | 0.91 |
| meziiVitality | 11 | 14 | 5 | -3 | 57.8 | 70% | 0.85 |
| FalleNFURIA | 11 | 19 | 10 | -8 | 59.8 | 65% | 0.73 |
| YEKINDARFURIA | 9 | 15 | 5 | -6 | 51.7 | 61% | 0.62 |
| molodoyFURIA | 7 | 18 | 6 | -11 | 43.4 | 65% | 0.49 |
About FURIA vs Vitality
This BO3 Counter-Strike 2 match is part of Playoffs on the IEM circuit. Vitality took the series 0–2. For head-to-head form and predicted lineups, see the head-to-head tool and the prediction model.