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NukeMap 1
AncientMap 2
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Map Results
NukeMap 1L
Liquid
LiquidL–W
W
3DMAX
3DMAXDuration: 65:08
AncientMap 2LLiquid
LiquidL–W
W3DMAX
3DMAXDuration: 37:27
Streams
Map Breakdown
Series best: Lucky — 1.94 average rating across 2 maps.
Ancient
Liquid 5–13 3DMAXLiquid1st half 5 · 2nd half 0CT 5/12 · T 0/6Pistols 0/2
3DMAX1st half 7 · 2nd half 6CT 6/6 · T 7/12Pistols 2/2
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| Lucky3DMAX | 26 | 11 | 4 | +15 | 128.2 | 89% | 2.49 |
| Graviti3DMAX | 16 | 11 | 4 | +5 | 79.0 | 94% | 1.45 |
| Ex3rcice3DMAX | 13 | 13 | 10 | +0 | 92.4 | 78% | 1.33 |
| Misutaaa3DMAX | 13 | 12 | 7 | +1 | 81.1 | 89% | 1.17 |
| malbsMdLiquid | 13 | 16 | 1 | -3 | 79.0 | 61% | 1.09 |
| ultimateLiquid | 16 | 15 | 4 | +1 | 83.5 | 83% | 1.03 |
| Maka3DMAX | 11 | 10 | 7 | +1 | 53.8 | 72% | 0.85 |
| NAFLiquid | 8 | 16 | 9 | -8 | 82.3 | 78% | 0.84 |
| EliGELiquid | 12 | 17 | 2 | -5 | 59.9 | 67% | 0.67 |
| siuhyLiquid | 8 | 15 | 3 | -7 | 59.7 | 56% | 0.63 |
Nuke
Liquid 14–16 3DMAXLiquid1st half 8 · 2nd half 4 · OT 2CT 8/15 · T 6/15Pistols 3/4
3DMAX1st half 4 · 2nd half 8 · OT 4CT 9/15 · T 7/15Pistols 1/4
3DMAX came back from 7 rounds down (4–11) to win the map.
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| Lucky3DMAX | 28 | 18 | 3 | +10 | 75.1 | 73% | 1.39 |
| Ex3rcice3DMAX | 21 | 18 | 9 | +3 | 76.3 | 83% | 1.32 |
| Graviti3DMAX | 20 | 20 | 10 | +0 | 83.3 | 67% | 1.29 |
| ultimateLiquid | 23 | 18 | 7 | +5 | 76.3 | 80% | 1.22 |
| malbsMdLiquid | 19 | 21 | 4 | -2 | 67.2 | 77% | 1.08 |
| NAFLiquid | 22 | 19 | 10 | +3 | 83.7 | 67% | 0.99 |
| EliGELiquid | 18 | 19 | 8 | -1 | 70.2 | 77% | 0.92 |
| siuhyLiquid | 14 | 20 | 3 | -6 | 53.0 | 73% | 0.75 |
| Maka3DMAX | 12 | 17 | 6 | -5 | 57.3 | 70% | 0.74 |
| Misutaaa3DMAX | 15 | 24 | 7 | -9 | 63.5 | 67% | 0.71 |
About Liquid vs 3DMAX
This BO3 Counter-Strike 2 match is part of Group A on the IEM circuit. 3DMAX took the series 0–2. For head-to-head form and predicted lineups, see the head-to-head tool and the prediction model.