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Dust2Map 1
OverpassMap 2
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Map Results
Dust2Map 1L
Heroic
HeroicL–W
W
Astralis
AstralisDuration: 89:37
OverpassMap 2LHeroic
HeroicL–W
WAstralis
AstralisDuration: 55:54
Streams
Map Breakdown
Series best: phzy — 1.23 average rating across 2 maps.
Overpass
Astralis 13–10 HeroicAstralis1st half 6 · 2nd half 7CT 7/11 · T 6/12Pistols 2/2
Heroic1st half 6 · 2nd half 4CT 6/12 · T 4/11Pistols 0/2
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| StaehrAstralis | 20 | 12 | 2 | +8 | 92.8 | 78% | 1.37 |
| YxngstxrHeroic | 19 | 12 | 5 | +7 | 86.1 | 78% | 1.34 |
| jabbiAstralis | 18 | 14 | 7 | +4 | 89.4 | 83% | 1.30 |
| HooXiAstralis | 14 | 9 | 8 | +5 | 61.9 | 83% | 1.06 |
| RyuAstralis | 13 | 14 | 5 | -1 | 63.5 | 78% | 1.05 |
| phzyAstralis | 13 | 11 | 3 | +2 | 59.0 | 70% | 0.93 |
| xfl0udHeroic | 9 | 19 | 3 | -10 | 55.3 | 61% | 0.87 |
| suspHeroic | 8 | 14 | 5 | -6 | 52.4 | 74% | 0.79 |
| Chr1zNHeroic | 10 | 18 | 4 | -8 | 47.5 | 70% | 0.78 |
| niloHeroic | 14 | 15 | 2 | -1 | 59.1 | 61% | 0.76 |
Dust2
Astralis 16–13 HeroicAstralis1st half 8 · 2nd half 4 · OT 4CT 10/14 · T 6/15Pistols 4/4
Heroic1st half 4 · 2nd half 8 · OT 1CT 9/15 · T 4/14Pistols 0/4
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| phzyAstralis | 28 | 15 | 8 | +13 | 87.5 | 83% | 1.52 |
| niloHeroic | 25 | 21 | 8 | +4 | 86.3 | 76% | 1.31 |
| RyuAstralis | 20 | 19 | 6 | +1 | 67.0 | 72% | 1.22 |
| xfl0udHeroic | 20 | 19 | 8 | +1 | 82.3 | 72% | 1.18 |
| jabbiAstralis | 20 | 19 | 11 | +1 | 88.7 | 72% | 1.13 |
| HooXiAstralis | 19 | 20 | 5 | -1 | 66.0 | 69% | 0.94 |
| suspHeroic | 14 | 20 | 9 | -6 | 61.7 | 69% | 0.90 |
| StaehrAstralis | 17 | 22 | 4 | -5 | 69.9 | 66% | 0.86 |
| Chr1zNHeroic | 18 | 23 | 9 | -5 | 66.3 | 62% | 0.76 |
| YxngstxrHeroic | 18 | 21 | 4 | -3 | 50.8 | 59% | 0.73 |
About Heroic vs Astralis
This BO3 Counter-Strike 2 match is part of Stage 1 on the ESL Pro League circuit. Astralis took the series 0–2. For head-to-head form and predicted lineups, see the head-to-head tool and the prediction model.