capybararaa — CS2 Stats
76561199350549044[U:1:1390283316]✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · -0.02 avg rating
Player DNA
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 NiKo 75% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower aim profile; lower utility contribution.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 639ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 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 |
|---|---|---|---|---|---|
| A | 28 | 18–10 | 64% | -0.00 | |
| S | 21 | 14–7 | 67% | -0.03 | |
| C | 16 | 7–9 | 44% | -0.03 | |
| C | 16 | 7–9 | 44% | -0.03 | |
| D | 9 | 3–6 | 33% | -0.03 | |
| S | 5 | 4–1 | 80% | -0.01 | |
| — | 2 | 2–0 | 100% | -0.03 | |
| whistle | — | 1 | 0–1 | 0% | -0.07 |
| faceitaimdeagle | — | 1 | 0–1 | 0% | -0.03 |
| — | 1 | 1–0 | 100% | 0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 130 | 55% | 0.85 | 13.4 |
| Inferno | 126 | 61% | 0.87 | 13.0 |
| Mirage | 96 | 47% | 0.82 | 12.2 |
| Anubis | 85 | 53% | 0.81 | 12.6 |
| Dust2 | 61 | 51% | 1.09 | 12.7 |
| Nuke | 31 | 68% | 0.75 | 11.8 |
| Train | 20 | 65% | 0.98 | 13.8 |
| Vertigo | 6 | 67% | 0.97 | 13.3 |
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
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Grenades & UtilityGrenade Lineups →
Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.
Enemies flashed per flash 0.3667 — below the 0.5 mark we flag
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 31.0756% — below the 40% mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 4–13 | -0.05 | 6% | 10 Nov → | ||
| 13–10 | -0.05 | 15% | 10 Nov → | ||
| 13–11 | -0.04 | 10% | 17 Jun → | ||
| 8–13 | -0.05 | 21% | 29 May → | ||
| 13–3 | 0.01 | 15% | 29 May → | ||
| 13–6 | -0.00 | 12% | 28 May → | ||
| 13–11 | -0.00 | 22% | 28 May → | ||
| 14–16 | -0.05 | 11% | 27 May → | ||
| 13–11 | -0.09 | 16% | 26 May → | ||
| 6–13 | -0.11 | 20% | 25 May → | ||
| 13–3 | -0.01 | 31% | 25 May → | ||
| 13–8 | 0.00 | 17% | 22 May → | ||
| 8–12 | -0.04 | 18% | 21 May → | ||
| 8–13 | -0.06 | 19% | 16 May → | ||
| 5–13 | -0.01 | 18% | 16 May → | ||
| 13–5 | -0.07 | 18% | 16 May → | ||
| 17–19 | 0.02 | 15% | 16 May → | ||
| 14–16 | -0.03 | 20% | 16 May → | ||
| 16–14 | -0.01 | 17% | 15 May → | ||
| 13–1 | -0.02 | 14% | 13 May → | ||
| 13–11 | -0.03 | 16% | 11 May → | ||
| 19–15 | 0.01 | 9% | 10 May → | ||
| 8–13 | -0.04 | 20% | 10 May → | ||
| 23–25 | -0.07 | 17% | 9 May → | ||
| 7–13 | -0.06 | 14% | 9 May → | ||
| 13–5 | 0.03 | 17% | 7 May → | ||
| 13–6 | -0.00 | 14% | 6 May → | ||
| 13–11 | -0.07 | 29% | 4 May → | ||
| 13–11 | -0.03 | 17% | 3 May → | ||
| 13–4 | -0.01 | 17% | 3 May → | ||
| 13–9 | -0.02 | 25% | 1 May → | ||
| 8–13 | -0.04 | 10% | 29 Apr → | ||
| 13–7 | 0.04 | 15% | 29 Apr → | ||
| 14–16 | -0.03 | 9% | 29 Apr → | ||
| 20–22 | -0.05 | 7% | 29 Apr → | ||
| 13–5 | 0.03 | 19% | 29 Apr → | ||
| 16–13 | -0.02 | 9% | 28 Apr → | ||
| 13–11 | 0.01 | 27% | 28 Apr → | ||
| 11–13 | -0.03 | 9% | 27 Apr → | ||
| 13–5 | 0.01 | 14% | 27 Apr → | ||
| 9–13 | -0.03 | 15% | 25 Apr → | ||
| 13–10 | -0.00 | 19% | 25 Apr → | ||
| 9–13 | -0.03 | 15% | 25 Apr → | ||
| 12–16 | -0.06 | 16% | 24 Apr → | ||
| 13–8 | -0.05 | 14% | 16 Apr → | ||
| 12–16 | -0.01 | 16% | 15 Apr → | ||
| 8–13 | -0.09 | 11% | 15 Apr → | ||
| 13–3 | -0.01 | 9% | 14 Apr → | ||
| 10–13 | -0.05 | 19% | 14 Apr → | ||
| 11–13 | -0.06 | 11% | 14 Apr → | ||
| 10–13 | -0.00 | 25% | 13 Apr → | ||
| 7–13 | 0.01 | 21% | 11 Apr → | ||
| 11–13 | -0.02 | 5% | 9 Apr → | ||
| 13–11 | -0.02 | 7% | 3 Apr → | ||
| 13–8 | -0.08 | 5% | 1 Apr → | ||
| 8–13 | -0.03 | 15% | 1 Apr → | ||
| 13–11 | -0.02 | 21% | 28 Mar → | ||
| 17–19 | -0.02 | 11% | 27 Mar → | ||
| 8–13 | -0.04 | 8% | 27 Mar → | ||
| 12–16 | -0.02 | 14% | 27 Mar → | ||
| 4–13 | -0.06 | 16% | 27 Mar → | ||
| 13–8 | -0.04 | 24% | 25 Mar → | ||
| 8–13 | -0.02 | 26% | 25 Mar → | ||
| 13–6 | -0.05 | 6% | 14 Feb → | ||
| 16–13 | 0.01 | 11% | 13 Feb → | ||
| 5–13 | -0.11 | 4% | 9 Feb → | ||
| 13–8 | -0.03 | 16% | 12 Jan → | ||
| 6–13 | -0.09 | 10% | 12 Jan → | ||
| 13–6 | 0.03 | 8% | 12 Jan → | ||
| 13–5 | 0.02 | 16% | 12 Jan → | ||
| 13–5 | 0.00 | 11% | 11 Jan → | ||
| 13–6 | -0.05 | 17% | 11 Jan → | ||
| 12–16 | -0.03 | 21% | 10 Jan → | ||
| 16–13 | 0.01 | 8% | 10 Jan → | ||
| 13–10 | 0.04 | 23% | 10 Jan → | ||
| 13–10 | -0.01 | 18% | 10 Jan → | ||
| 13–7 | 0.00 | 13% | 7 Jan → | ||
| 9–3 | 0.05 | 3% | 7 Jan → | ||
| 10–13 | 0.02 | 9% | 6 Jan → | ||
| 13–7 | -0.01 | 10% | 6 Jan → | ||
| whistle | 2–9 | -0.07 | 6% | 2 Jan → | |
| 14–16 | -0.01 | 12% | 1 Jan → | ||
| faceitaimdeagle | 14–16 | -0.03 | 31% | 1 Jan → | |
| 16–13 | -0.01 | 11% | 29 Dec → | ||
| 22–19 | 0.00 | 12% | 28 Dec → | ||
| 13–9 | 0.01 | 12% | 28 Dec → | ||
| 13–7 | 0.07 | 16% | 28 Dec → | ||
| 13–5 | 0.07 | 23% | 27 Dec → | ||
| 17–19 | -0.02 | 6% | 27 Dec → | ||
| 1–13 | -0.00 | 18% | 23 Dec → | ||
| 13–7 | 0.01 | 18% | 23 Dec → | ||
| 3–13 | -0.07 | 13% | 23 Dec → | ||
| 13–10 | 0.03 | 21% | 22 Dec → | ||
| 5–13 | -0.03 | 14% | 20 Dec → | ||
| 13–8 | -0.03 | 17% | 18 Dec → | ||
| 13–8 | -0.02 | 12% | 18 Dec → | ||
| 13–11 | -0.06 | 10% | 18 Dec → | ||
| 13–11 | -0.04 | 10% | 16 Dec → | ||
| 19–15 | -0.00 | 10% | 16 Dec → | ||
| 7–13 | 0.01 | 9% | 16 Dec → |
Match data via Leetify.
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