← Back to Matches
CacheMap 1
AncientMap 2
Like what you see? Place your bets on live CS2 matches.Bet on This Match →
Map Results
L
FOKUS
L–W
W
Astralis
Duration: 50:17
L
FOKUS
L–W
W
Astralis
Duration: 40:10
Streams
Map Breakdown
Series best: Staehr — 1.46 average rating across 2 maps.
Ancient
Astralis 13–8 FOKUSAstralis1st half 6 · 2nd half 7CT 7/9 · T 6/12Pistols 1/2
FOKUS1st half 6 · 2nd half 2CT 6/12 · T 2/9Pistols 1/2
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| StaehrAstralis | 24 | 14 | 10 | +10 | 117.5 | 76% | 1.77 |
| RyuAstralis | 14 | 13 | 4 | +1 | 71.2 | 76% | 1.20 |
| MatheosFOKUS | 17 | 14 | 2 | +3 | 78.1 | 67% | 1.17 |
| phzyAstralis | 12 | 13 | 6 | -1 | 59.4 | 67% | 1.08 |
| jabbiAstralis | 16 | 13 | 7 | +3 | 76.9 | 76% | 1.07 |
| jocabFOKUS | 14 | 15 | 7 | -1 | 76.4 | 62% | 0.99 |
| HooXiAstralis | 11 | 12 | 7 | -1 | 54.8 | 71% | 0.88 |
| ztrFOKUS | 14 | 18 | 7 | -4 | 76.6 | 57% | 0.80 |
| podiFOKUS | 8 | 15 | 3 | -7 | 51.2 | 67% | 0.72 |
| BanjoFOKUS | 12 | 15 | 5 | -3 | 62.3 | 71% | 0.71 |
Cache
Astralis 13–11 FOKUSAstralis1st half 8 · 2nd half 5CT 8/12 · T 5/12Pistols 0/2
FOKUS1st half 4 · 2nd half 7CT 7/12 · T 4/12Pistols 2/2
| Player | K | D | A | +/− | ADR | KAST | Rating |
|---|---|---|---|---|---|---|---|
| phzyAstralis | 15 | 13 | 4 | +2 | 61.6 | 67% | 1.21 |
| jabbiAstralis | 14 | 16 | 4 | -2 | 60.5 | 71% | 1.19 |
| StaehrAstralis | 15 | 16 | 7 | -1 | 73.5 | 67% | 1.15 |
| RyuAstralis | 21 | 16 | 2 | +5 | 80.7 | 63% | 1.13 |
| HooXiAstralis | 13 | 15 | 9 | -2 | 71.1 | 75% | 1.11 |
| jocabFOKUS | 20 | 14 | 6 | +6 | 86.4 | 75% | 1.09 |
| MatheosFOKUS | 16 | 18 | 4 | -2 | 77.1 | 71% | 0.94 |
| BanjoFOKUS | 13 | 14 | 6 | -1 | 62.3 | 79% | 0.93 |
| podiFOKUS | 13 | 16 | 3 | -3 | 56.8 | 71% | 0.80 |
| ztrFOKUS | 13 | 16 | 6 | -3 | 64.2 | 58% | 0.71 |
About FOKUS vs Astralis
This BO3 Counter-Strike 2 match is part of Group A on the Stake Pulse circuit. Astralis took the series 0–2. For head-to-head form and predicted lineups, see the head-to-head tool and the prediction model.