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Dust2Map 1
AncientMap 2
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Map Results
W
Natus Vincere
W–L
L
HOTU
Duration: 45:14
W
Natus Vincere
W–L
L
HOTU
Duration: 45:42
Streams
Map Breakdown
Series best: iM — 1.63 average rating across 2 maps.
Ancient
Natus Vincere 13–9 HOTUNatus Vincere1st half 9 · 2nd half 4CT 4/10 · T 9/12Pistols 0/2
HOTU1st half 3 · 2nd half 6CT 3/12 · T 6/10Pistols 2/2
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| iMNatus Vincere | 23 | 15 | 6 | +8 | 101.7 | 77% | 1.75 |
| mizuHOTU | 24 | 16 | 6 | +8 | 118.8 | 77% | 1.56 |
| makazzeNatus Vincere | 23 | 13 | 6 | +10 | 104.6 | 82% | 1.48 |
| dukefissuraHOTU | 16 | 16 | 4 | +0 | 73.3 | 64% | 1.30 |
| b1tNatus Vincere | 18 | 15 | 5 | +3 | 78.5 | 68% | 1.22 |
| w0nderfulNatus Vincere | 11 | 13 | 5 | -2 | 59.8 | 73% | 1.09 |
| kAlashHOTU | 12 | 19 | 5 | -7 | 75.1 | 64% | 0.86 |
| AleksibNatus Vincere | 12 | 17 | 8 | -5 | 77.3 | 73% | 0.85 |
| n0rb3r7HOTU | 11 | 19 | 5 | -8 | 57.7 | 64% | 0.58 |
| frontalesHOTU | 8 | 17 | 3 | -9 | 41.1 | 46% | 0.49 |
Dust2
Natus Vincere 13–7 HOTUNatus Vincere1st half 8 · 2nd half 5CT 8/12 · T 5/8Pistols 1/2
HOTU1st half 4 · 2nd half 3CT 3/8 · T 4/12Pistols 1/2
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| iMNatus Vincere | 20 | 11 | 3 | +9 | 104.8 | 90% | 1.50 |
| b1tNatus Vincere | 15 | 8 | 9 | +7 | 93.4 | 80% | 1.40 |
| makazzeNatus Vincere | 17 | 11 | 1 | +6 | 87.2 | 70% | 1.33 |
| w0nderfulNatus Vincere | 17 | 7 | 2 | +10 | 79.8 | 85% | 1.29 |
| AleksibNatus Vincere | 11 | 9 | 6 | +2 | 56.8 | 85% | 1.01 |
| n0rb3r7HOTU | 11 | 17 | 3 | -6 | 74.8 | 45% | 0.90 |
| mizuHOTU | 9 | 16 | 3 | -7 | 60.9 | 45% | 0.79 |
| dukefissuraHOTU | 11 | 16 | 2 | -5 | 51.4 | 60% | 0.76 |
| frontalesHOTU | 7 | 14 | 5 | -7 | 44.5 | 55% | 0.65 |
| kAlashHOTU | 8 | 17 | 1 | -9 | 47.8 | 45% | 0.62 |
About Natus Vincere vs HOTU
This BO3 Counter-Strike 2 match is part of Group B on the IEM circuit. Natus Vincere took the series 2–0. For head-to-head form and predicted lineups, see the head-to-head tool and the prediction model.