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NukeMap 1
AnubisMap 2
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Map Results
L
LPH Gaming
L–W
W
WBT
Duration: 65:14
L
LPH Gaming
L–W
W
WBT
Duration: 42:06
Streams
Map Breakdown
Series best: tired73 — 1.35 average rating across 2 maps.
Anubis
LPH Gaming 7–13 WBTLPH Gaming1st half 3 · 2nd half 4CT 3/12 · T 4/8Pistols 1/2
WBT1st half 9 · 2nd half 4CT 4/8 · T 9/12Pistols 1/2
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| fl1peRWBT | 16 | 9 | 4 | +7 | 94.2 | 85% | 1.57 |
| tired73WBT | 20 | 11 | 3 | +9 | 96.2 | 90% | 1.50 |
| marat2kWBT | 16 | 10 | 2 | +6 | 78.0 | 95% | 1.47 |
| fajrnessLPH Gaming | 13 | 10 | 4 | +3 | 65.0 | 80% | 1.06 |
| KAD1MLPH Gaming | 15 | 18 | 2 | -3 | 90.0 | 60% | 1.03 |
| svemyyWBT | 8 | 10 | 4 | -2 | 54.2 | 75% | 0.91 |
| lojzoLPH Gaming | 11 | 14 | 0 | -3 | 47.9 | 60% | 0.78 |
| NxStepWBT | 10 | 12 | 6 | -2 | 59.2 | 75% | 0.77 |
| d0mZ1kLPH Gaming | 9 | 15 | 4 | -6 | 53.6 | 70% | 0.67 |
| N1KOLAJLPH Gaming | 4 | 13 | 4 | -9 | 36.0 | 60% | 0.53 |
Nuke
LPH Gaming 13–16 WBTLPH Gaming1st half 6 · 2nd half 6 · OT 1CT 7/15 · T 6/14Pistols 2/4
WBT1st half 6 · 2nd half 6 · OT 4CT 8/14 · T 8/15Pistols 2/4
WBT came back from 4 rounds down (0–4) to win the map.
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| svemyyWBT | 26 | 22 | 6 | +4 | 93.1 | 72% | 1.32 |
| fajrnessLPH Gaming | 25 | 24 | 8 | +1 | 90.5 | 76% | 1.29 |
| lojzoLPH Gaming | 22 | 20 | 4 | +2 | 78.7 | 72% | 1.23 |
| tired73WBT | 26 | 18 | 8 | +8 | 85.4 | 83% | 1.20 |
| NxStepWBT | 22 | 22 | 10 | +0 | 80.2 | 86% | 1.17 |
| fl1peRWBT | 18 | 22 | 9 | -4 | 77.6 | 69% | 1.06 |
| KAD1MLPH Gaming | 21 | 22 | 6 | -1 | 69.7 | 76% | 1.02 |
| d0mZ1kLPH Gaming | 16 | 18 | 4 | -2 | 59.9 | 66% | 0.86 |
| marat2kWBT | 14 | 16 | 10 | -2 | 56.7 | 69% | 0.84 |
| N1KOLAJLPH Gaming | 16 | 22 | 4 | -6 | 62.4 | 69% | 0.82 |
About LPH Gaming vs WBT
This BO3 Counter-Strike 2 match is part of Playoffs on the CCT Europe circuit. WBT took the series 0–2. For head-to-head form and predicted lineups, see the head-to-head tool and the prediction model.