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CacheMap 1
AnubisMap 2
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Map Results
W
SAW
W–L
L
NAVI Junior
Duration: 38:45
W
SAW
W–L
L
NAVI Junior
Duration: 43:53
Streams
Map Breakdown
Series best: krazy — 1.46 average rating across 2 maps.
Anubis
NAVI Junior 9–13 SAWNAVI Junior1st half 5 · 2nd half 4CT 5/12 · T 4/10Pistols 2/2
SAW1st half 7 · 2nd half 6CT 6/10 · T 7/12Pistols 0/2
SAW came back from 4 rounds down (0–4) to win the map.
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| ewjerkzSAW | 14 | 11 | 8 | +3 | 73.9 | 91% | 1.41 |
| krazySAW | 20 | 15 | 7 | +5 | 104.8 | 86% | 1.30 |
| NOPEEJSAW | 17 | 13 | 3 | +4 | 72.8 | 86% | 1.20 |
| storySAW | 19 | 12 | 6 | +7 | 81.7 | 82% | 1.20 |
| YokiNAVI Junior | 18 | 19 | 6 | -1 | 96.0 | 68% | 1.17 |
| skizzyeeNAVI Junior | 15 | 17 | 2 | -2 | 65.1 | 68% | 1.15 |
| MUTiRiSSAW | 14 | 15 | 8 | -1 | 70.4 | 86% | 1.04 |
| MahaRNAVI Junior | 14 | 18 | 3 | -4 | 71.6 | 55% | 0.90 |
| FAZERYNAVI Junior | 12 | 16 | 4 | -4 | 68.4 | 55% | 0.85 |
| kodakNAVI Junior | 7 | 16 | 3 | -9 | 39.3 | 59% | 0.56 |
Cache
NAVI Junior 8–13 SAWNAVI Junior1st half 5 · 2nd half 3CT 3/9 · T 5/12Pistols 2/2
SAW1st half 7 · 2nd half 6CT 7/12 · T 6/9Pistols 0/2
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| MahaRNAVI Junior | 21 | 17 | 1 | +4 | 103.2 | 67% | 1.65 |
| krazySAW | 20 | 13 | 4 | +7 | 105.2 | 76% | 1.63 |
| ewjerkzSAW | 21 | 11 | 4 | +10 | 85.9 | 86% | 1.34 |
| MUTiRiSSAW | 15 | 10 | 6 | +5 | 75.1 | 86% | 1.30 |
| NOPEEJSAW | 15 | 11 | 3 | +4 | 79.9 | 76% | 1.12 |
| storySAW | 12 | 10 | 9 | +2 | 67.4 | 91% | 1.01 |
| skizzyeeNAVI Junior | 12 | 16 | 3 | -4 | 63.1 | 57% | 0.98 |
| YokiNAVI Junior | 10 | 15 | 0 | -5 | 54.0 | 48% | 0.72 |
| FAZERYNAVI Junior | 7 | 16 | 3 | -9 | 41.9 | 52% | 0.58 |
| kodakNAVI Junior | 5 | 19 | 5 | -14 | 48.2 | 48% | 0.46 |
About SAW vs NAVI Junior
This BO3 Counter-Strike 2 match is part of Play-Ins on the FOX Legacy Cup circuit. SAW took the series 2–0. For head-to-head form and predicted lineups, see the head-to-head tool and the prediction model.