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OverpassMap 1
NukeMap 2
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Map Results
OverpassMap 1W
Heroic
HeroicW–L
L
Passion UA
Passion UADuration: 43:41
NukeMap 2WHeroic
HeroicW–L
LPassion UA
Passion UADuration: 50:03
Streams
Map Breakdown
Series best: xfl0ud — 1.54 average rating across 2 maps.
Nuke
Heroic 13–8 Passion UAHeroic1st half 7 · 2nd half 6CT 6/9 · T 7/12Pistols 1/2
Passion UA1st half 5 · 2nd half 3CT 5/12 · T 3/9Pistols 1/2
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| xfl0udHeroic | 17 | 15 | 2 | +2 | 83.7 | 71% | 1.50 |
| suspHeroic | 16 | 12 | 3 | +4 | 86.9 | 57% | 1.35 |
| niloHeroic | 13 | 14 | 5 | -1 | 73.3 | 81% | 1.18 |
| senzuPassion UA | 13 | 12 | 5 | +1 | 74.4 | 76% | 1.09 |
| YxngstxrHeroic | 11 | 10 | 2 | +1 | 47.3 | 71% | 0.95 |
| Chr1zNHeroic | 11 | 14 | 4 | -3 | 66.0 | 67% | 0.91 |
| tryPassion UA | 12 | 13 | 1 | -1 | 59.0 | 76% | 0.89 |
| nicxPassion UA | 11 | 12 | 3 | -1 | 49.1 | 76% | 0.85 |
| JTPassion UA | 11 | 16 | 7 | -5 | 67.9 | 62% | 0.83 |
| KvemPassion UA | 15 | 15 | 1 | +0 | 78.0 | 48% | 0.81 |
Overpass
Heroic 13–5 Passion UAHeroic1st half 8 · 2nd half 5CT 8/12 · T 5/6Pistols 2/2
Passion UA1st half 4 · 2nd half 1CT 1/6 · T 4/12Pistols 0/2
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| niloHeroic | 16 | 5 | 3 | +11 | 81.0 | 83% | 1.58 |
| xfl0udHeroic | 19 | 10 | 4 | +9 | 100.9 | 72% | 1.57 |
| KvemPassion UA | 14 | 15 | 3 | -1 | 95.6 | 56% | 1.57 |
| YxngstxrHeroic | 18 | 6 | 2 | +12 | 89.5 | 100% | 1.47 |
| suspHeroic | 10 | 7 | 7 | +3 | 80.2 | 83% | 1.17 |
| nicxPassion UA | 10 | 14 | 0 | -4 | 61.4 | 61% | 0.87 |
| Chr1zNHeroic | 7 | 11 | 5 | -4 | 48.8 | 83% | 0.73 |
| senzuPassion UA | 6 | 14 | 1 | -8 | 55.6 | 44% | 0.71 |
| JTPassion UA | 5 | 13 | 1 | -8 | 35.1 | 50% | 0.56 |
| tryPassion UA | 4 | 14 | 1 | -10 | 27.8 | 44% | 0.44 |
About Heroic vs Passion UA
This BO3 Counter-Strike 2 match is part of Stage 1 on the ESL Pro League circuit. Heroic took the series 2–0. For head-to-head form and predicted lineups, see the head-to-head tool and the prediction model.