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Dust2Map 1
InfernoMap 2
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Map Results
W
Aurora Gaming
W–L
L
M80
Duration: 49:13
W
Aurora Gaming
W–L
L
M80
Duration: 50:49
Streams
Map Breakdown
Series best: XANTARES — 1.67 average rating across 2 maps.
Inferno
Aurora Gaming 13–9 M80Aurora Gaming1st half 8 · 2nd half 5CT 8/12 · T 5/10Pistols 2/2
M801st half 4 · 2nd half 5CT 5/10 · T 4/12Pistols 0/2
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| XANTARESAurora Gaming | 24 | 12 | 4 | +12 | 101.7 | 77% | 1.68 |
| woxicAurora Gaming | 18 | 12 | 5 | +6 | 76.5 | 82% | 1.29 |
| slaxz-M80 | 17 | 15 | 6 | +2 | 73.7 | 82% | 1.19 |
| JimpphatAurora Gaming | 15 | 10 | 4 | +5 | 61.4 | 91% | 1.18 |
| SwisherM80 | 13 | 15 | 5 | -2 | 59.6 | 77% | 1.14 |
| WicadiaAurora Gaming | 16 | 15 | 6 | +1 | 91.9 | 77% | 0.99 |
| lakeM80 | 10 | 16 | 5 | -6 | 56.0 | 64% | 0.81 |
| JBaM80 | 13 | 17 | 7 | -4 | 78.9 | 50% | 0.79 |
| kyxsanAurora Gaming | 8 | 15 | 12 | -7 | 55.7 | 73% | 0.75 |
| s1nM80 | 11 | 18 | 4 | -7 | 48.2 | 59% | 0.59 |
Dust2
Aurora Gaming 13–9 M80Aurora Gaming1st half 7 · 2nd half 6CT 6/10 · T 7/12Pistols 1/2
M801st half 5 · 2nd half 4CT 5/12 · T 4/10Pistols 1/2
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| XANTARESAurora Gaming | 23 | 13 | 10 | +10 | 105.1 | 82% | 1.67 |
| woxicAurora Gaming | 19 | 14 | 9 | +5 | 94.4 | 77% | 1.51 |
| lakeM80 | 20 | 16 | 6 | +4 | 103.0 | 64% | 1.49 |
| JimpphatAurora Gaming | 19 | 14 | 3 | +5 | 82.7 | 77% | 1.26 |
| s1nM80 | 13 | 14 | 4 | -1 | 55.7 | 68% | 0.97 |
| WicadiaAurora Gaming | 11 | 17 | 2 | -6 | 50.0 | 64% | 0.83 |
| SwisherM80 | 13 | 18 | 6 | -5 | 83.4 | 73% | 0.82 |
| slaxz-M80 | 14 | 14 | 5 | +0 | 55.6 | 77% | 0.82 |
| JBaM80 | 10 | 18 | 7 | -8 | 60.8 | 68% | 0.73 |
| kyxsanAurora Gaming | 8 | 14 | 5 | -6 | 41.1 | 64% | 0.69 |
About Aurora Gaming vs M80
This BO3 Counter-Strike 2 match is part of Group A on the Esports World Cup circuit. Aurora Gaming took the series 2–0. For head-to-head form and predicted lineups, see the head-to-head tool and the prediction model.