Acooless — CS2 Stats
76561198795850014[U:1:835584286]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.01 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like donk 92% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
CSDB Rating breakdown
Composite 6.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| D | 28 | 9–19 | 32% | -0.00 | |
| A | 19 | 12–7 | 63% | 0.00 | |
| B | 15 | 7–8 | 47% | 0.00 | |
| B | 11 | 5–6 | 45% | 0.02 | |
| A | 10 | 6–4 | 60% | -0.01 | |
| A | 7 | 4–3 | 57% | 0.04 | |
| — | 4 | 2–2 | 50% | 0.01 | |
| — | 2 | 0–2 | 0% | -0.06 | |
| — | 2 | 0–2 | 0% | -0.01 | |
| — | 1 | 1–0 | 100% | 0.01 | |
| shelter | — | 1 | 1–0 | 100% | 0.01 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (32% over 28). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsLLLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 21 | 48% | 1.07 | 13.5 |
| Inferno | 17 | 47% | 1.08 | 14.1 |
| Anubis | 14 | 57% | 1.06 | 16.1 |
| Ancient | 12 | 25% | 1.04 | 15.0 |
| Nuke | 9 | 44% | 1.10 | 15.1 |
| Dust2 | 6 | 50% | 1.32 | 17.5 |
| Vertigo | 6 | 33% | 1.04 | 14.5 |
| Overpass | 5 | 60% | 1.13 | 17.2 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
32% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | -0.01 | 33% | 8 Aug → | ||
| 13–10 | 0.01 | 27% | 6 Aug → | ||
| 13–10 | 0.03 | 20% | 6 Aug → | ||
| shelter | 13–10 | 0.01 | 8% | 6 Aug → | |
| 7–13 | -0.02 | 18% | 6 Aug → | ||
| 7–13 | -0.06 | 16% | 6 Aug → | ||
| 12–12 | 0.03 | 24% | 4 Aug → | ||
| 10–13 | 0.01 | 28% | 4 Aug → | ||
| 13–11 | -0.02 | 25% | 4 Aug → | ||
| 13–10 | 0.15 | 23% | 3 Aug → | ||
| 11–13 | -0.01 | 19% | 3 Aug → | ||
| 11–13 | 0.02 | 24% | 25 Jul → | ||
| 12–12 | -0.04 | 27% | 25 Jul → | ||
| 13–3 | 0.16 | 19% | 13 Jul → | ||
| 10–13 | -0.00 | 14% | 13 Jul → | ||
| 6–13 | -0.02 | 19% | 11 Jul → | ||
| 13–11 | -0.00 | 20% | 10 Jul → | ||
| 13–8 | -0.01 | 35% | 10 Jul → | ||
| 6–13 | -0.04 | 20% | 10 Jul → | ||
| 13–8 | -0.04 | 30% | 10 Jul → | ||
| 13–6 | 0.05 | 15% | 9 Jul → | ||
| 13–9 | 0.06 | 24% | 9 Jul → | ||
| 1–13 | -0.04 | 17% | 9 Jul → | ||
| 13–4 | 0.04 | 14% | 9 Jul → | ||
| 15–15 | 0.01 | 21% | 3 Jul → | ||
| 8–13 | -0.11 | 12% | 3 Jul → | ||
| 13–11 | 0.02 | 13% | 3 Jul → | ||
| 13–7 | 0.03 | 9% | 3 Jul → | ||
| 13–10 | 0.07 | 15% | 3 Jul → | ||
| 13–3 | 0.12 | 29% | 3 Jul → | ||
| 16–13 | 0.01 | 7% | 26 Jun → | ||
| 13–11 | 0.06 | 8% | 26 Jun → | ||
| 13–10 | 0.03 | 12% | 17 May → | ||
| 13–6 | 0.01 | 28% | 12 May → | ||
| 13–7 | 0.01 | 15% | 12 May → | ||
| 1–7 | -0.05 | 33% | 11 May → | ||
| 9–13 | -0.05 | 17% | 10 May → | ||
| 0–13 | -0.08 | 15% | 8 May → | ||
| 8–13 | -0.05 | 22% | 5 May → | ||
| 8–13 | 0.01 | 20% | 5 May → | ||
| 9–13 | 0.00 | 25% | 4 May → | ||
| 13–7 | 0.04 | 29% | 4 May → | ||
| 11–13 | -0.06 | 12% | 3 May → | ||
| 13–5 | -0.02 | 9% | 1 May → | ||
| 9–13 | -0.01 | 41% | 29 Apr → | ||
| 13–11 | 0.04 | 19% | 28 Apr → | ||
| 13–9 | 0.00 | 27% | 26 Apr → | ||
| 13–6 | 0.08 | 13% | 23 Apr → | ||
| 13–8 | 0.01 | 18% | 20 Apr → | ||
| 13–8 | -0.04 | 18% | 19 Apr → | ||
| 8–13 | 0.04 | 18% | 16 Apr → | ||
| 7–13 | -0.00 | 26% | 12 Apr → | ||
| 10–13 | -0.05 | 14% | 9 Apr → | ||
| 15–15 | -0.08 | 18% | 7 Apr → | ||
| 13–9 | 0.08 | 18% | 7 Apr → | ||
| 16–12 | 0.05 | 18% | 6 Apr → | ||
| 13–9 | 0.01 | 30% | 6 Apr → | ||
| 10–13 | 0.04 | 28% | 6 Apr → | ||
| 13–9 | 0.01 | 26% | 5 Apr → | ||
| 8–13 | 0.02 | 17% | 5 Apr → | ||
| 10–13 | 0.00 | 31% | 5 Apr → | ||
| 8–13 | -0.06 | 19% | 5 Apr → | ||
| 14–16 | 0.01 | 25% | 3 Apr → | ||
| 13–5 | -0.04 | 19% | 3 Apr → | ||
| 4–13 | -0.01 | 12% | 3 Apr → | ||
| 13–10 | 0.04 | 25% | 3 Apr → | ||
| 9–13 | -0.05 | 26% | 2 Apr → | ||
| 13–8 | 0.02 | 23% | 30 Mar → | ||
| 16–14 | 0.03 | 22% | 26 Mar → | ||
| 11–13 | 0.02 | 26% | 24 Mar → | ||
| 13–8 | 0.01 | 19% | 24 Mar → | ||
| 6–13 | -0.02 | 26% | 24 Mar → | ||
| 10–13 | -0.01 | 28% | 22 Mar → | ||
| 4–13 | -0.02 | 15% | 22 Mar → | ||
| 11–13 | -0.01 | 22% | 22 Mar → | ||
| 13–9 | -0.02 | 17% | 22 Mar → | ||
| 13–1 | 0.00 | 21% | 22 Mar → | ||
| 9–13 | -0.08 | 23% | 22 Mar → | ||
| 10–13 | -0.00 | 19% | 22 Mar → | ||
| 6–13 | -0.07 | 21% | 19 Mar → | ||
| 13–11 | 0.02 | 20% | 19 Mar → | ||
| 1–6 | -0.01 | 31% | 19 Mar → | ||
| 7–13 | -0.05 | 9% | 19 Mar → | ||
| 13–7 | 0.11 | 10% | 16 Mar → | ||
| 11–13 | -0.01 | 16% | 16 Mar → | ||
| 13–16 | -0.05 | 24% | 15 Mar → | ||
| 13–11 | 0.00 | 16% | 4 Mar → | ||
| 9–13 | -0.00 | 16% | 28 Feb → | ||
| 15–15 | 0.05 | 15% | 28 Feb → | ||
| 13–4 | 0.12 | 22% | 28 Feb → | ||
| 3–9 | -0.11 | 18% | 28 Feb → | ||
| 11–13 | -0.04 | 17% | 22 Feb → | ||
| 12–12 | -0.00 | 17% | 19 Feb → | ||
| 8–13 | -0.02 | 20% | 18 Feb → | ||
| 13–10 | 0.07 | 25% | 17 Feb → | ||
| 13–3 | 0.05 | 13% | 17 Feb → | ||
| 10–13 | -0.02 | 19% | 13 Feb → | ||
| 13–7 | 0.00 | 17% | 13 Feb → | ||
| 13–4 | 0.08 | 9% | 11 Feb → | ||
| 5–13 | -0.02 | 24% | 11 Feb → |
Match data via Leetify.
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