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Dust2Map 1
OverpassMap 2
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Map Results
W
Spirit
W–L
L
Astralis
Duration: 70:59
W
Spirit
W–L
L
Astralis
Duration: 49:58
Streams
Map Breakdown
Series best: donk — 1.63 average rating across 2 maps.
Overpass
Astralis 8–13 SpiritAstralis1st half 6 · 2nd half 2CT 2/9 · T 6/12Pistols 1/2
Spirit1st half 6 · 2nd half 7CT 6/12 · T 7/9Pistols 1/2
Spirit came back from 4 rounds down (2–6) to win the map.
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| donkSpirit | 25 | 11 | 7 | +14 | 121.5 | 91% | 1.73 |
| phzyAstralis | 19 | 14 | 6 | +5 | 84.9 | 67% | 1.47 |
| zont1xSpirit | 20 | 13 | 8 | +7 | 105.2 | 86% | 1.47 |
| sh1roSpirit | 16 | 10 | 4 | +6 | 70.9 | 86% | 1.15 |
| magixxSpirit | 11 | 11 | 5 | +0 | 57.3 | 76% | 1.15 |
| RyuAstralis | 12 | 16 | 3 | -4 | 55.5 | 71% | 1.05 |
| tN1RSpirit | 11 | 13 | 8 | -2 | 63.0 | 81% | 1.04 |
| jabbiAstralis | 10 | 16 | 4 | -6 | 68.0 | 62% | 0.83 |
| HooXiAstralis | 12 | 19 | 5 | -7 | 70.1 | 43% | 0.64 |
| StaehrAstralis | 5 | 18 | 6 | -13 | 47.4 | 52% | 0.46 |
Dust2
Astralis 13–16 SpiritAstralis1st half 7 · 2nd half 5 · OT 1CT 8/14 · T 5/15Pistols 2/4
Spirit1st half 5 · 2nd half 7 · OT 4CT 10/15 · T 6/14Pistols 2/4
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| donkSpirit | 28 | 17 | 7 | +11 | 95.9 | 72% | 1.53 |
| RyuAstralis | 24 | 18 | 7 | +6 | 85.5 | 86% | 1.39 |
| tN1RSpirit | 18 | 15 | 10 | +3 | 71.9 | 83% | 1.34 |
| magixxSpirit | 20 | 16 | 10 | +4 | 70.7 | 72% | 1.26 |
| phzyAstralis | 22 | 18 | 8 | +4 | 81.8 | 72% | 1.25 |
| StaehrAstralis | 19 | 20 | 10 | -1 | 76.1 | 76% | 1.06 |
| jabbiAstralis | 15 | 18 | 3 | -3 | 58.4 | 79% | 0.82 |
| sh1roSpirit | 16 | 17 | 2 | -1 | 52.1 | 66% | 0.80 |
| zont1xSpirit | 11 | 22 | 8 | -11 | 44.8 | 69% | 0.60 |
| HooXiAstralis | 7 | 20 | 6 | -13 | 23.4 | 59% | 0.48 |
About Spirit vs Astralis
This BO3 Counter-Strike 2 match is part of Group A on the IEM circuit. Spirit took the series 2–0. For head-to-head form and predicted lineups, see the head-to-head tool and the prediction model.