COCO — CS2 Stats
76561198094906395[U:1:134640667]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=3,007), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Level 10 median |
|---|---|---|
| Headshot rate | 51.1% | 52.0% |
| Shot accuracy | 16.5% | 13.7% |
| Kill/death ratio | 1.24 | 1.08 |
| Match win rate | 48.4% | 48.8% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -30pp win rate · -0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
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 Twistzz 89% playstyle similarity
Most alike: opening-fight frequency, positioning profile.
Where you differ: lower utility contribution; lower aim profile.
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
Reaction time. 608ms 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 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 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 | 32 | 19–13 | 59% | 0.03 | |
| B | 16 | 8–8 | 50% | 0.01 | |
| B | 15 | 8–7 | 53% | -0.00 | |
| A | 7 | 4–3 | 57% | -0.00 | |
| D | 7 | 2–5 | 29% | 0.01 | |
| cache_b | S | 7 | 5–2 | 71% | 0.07 |
| A | 7 | 4–3 | 57% | 0.02 | |
| — | 4 | 1–3 | 25% | 0.02 | |
| — | 2 | 1–1 | 50% | 0.04 | |
| — | 1 | 0–1 | 0% | -0.01 | |
| aim_map | — | 1 | 1–0 | 100% | 0.08 |
| — | 1 | 1–0 | 100% | 0.09 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Nuke 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 resultsLLWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 185 | 57% | 1.17 | 16.9 |
| Ancient | 113 | 55% | 1.14 | 16.6 |
| Dust2 | 93 | 45% | 1.06 | 16.1 |
| Anubis | 46 | 54% | 1.21 | 17.4 |
| Inferno | 33 | 55% | 1.00 | 15.9 |
| Nuke | 29 | 55% | 1.05 | 15.4 |
| Train | 28 | 64% | 1.18 | 16.9 |
| Vertigo | 14 | 64% | 1.34 | 19.6 |
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.
- 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 35.8475% — 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.
29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.10 | 37% | 15 Aug → | ||
| 16–13 | 0.02 | 25% | 15 Aug → | ||
| 11–13 | 0.07 | 27% | 15 Aug → | ||
| 9–13 | -0.04 | 30% | 6 Aug → | ||
| 10–13 | -0.04 | 37% | 20 Jul → | ||
| 8–13 | -0.01 | 22% | 20 Jul → | ||
| 13–8 | -0.01 | 21% | 20 Jul → | ||
| 9–13 | -0.05 | 12% | 20 Jul → | ||
| 7–13 | -0.01 | 21% | 19 Jul → | ||
| 13–5 | 0.05 | 43% | 19 Jul → | ||
| 13–7 | -0.04 | 23% | 19 Jul → | ||
| 16–13 | 0.03 | 27% | 19 Jul → | ||
| 13–3 | 0.01 | 22% | 4 Apr → | ||
| 13–7 | 0.13 | 26% | 20 Mar → | ||
| 7–13 | -0.02 | 17% | 13 Mar → | ||
| 9–13 | -0.03 | 21% | 28 Feb → | ||
| 13–7 | 0.05 | 53% | 28 Feb → | ||
| 4–13 | -0.01 | 52% | 24 Feb → | ||
| 10–13 | -0.01 | 18% | 14 Feb → | ||
| cache_b | 13–4 | -0.01 | 22% | 8 Feb → | |
| 2–13 | -0.05 | 10% | 8 Feb → | ||
| 4–13 | -0.02 | 26% | 8 Feb → | ||
| 5–13 | -0.00 | 10% | 7 Feb → | ||
| 5–13 | 0.01 | 23% | 7 Feb → | ||
| 9–13 | -0.08 | 11% | 7 Feb → | ||
| 13–1 | 0.00 | 14% | 7 Feb → | ||
| 3–13 | -0.02 | 21% | 6 Feb → | ||
| 19–22 | 0.03 | 21% | 4 Feb → | ||
| cache_b | 19–17 | 0.07 | 19% | 1 Feb → | |
| 13–4 | 0.01 | 46% | 31 Jan → | ||
| 13–5 | 0.08 | 26% | 31 Jan → | ||
| cache_b | 11–13 | 0.03 | 29% | 30 Jan → | |
| 13–6 | 0.03 | 14% | 30 Jan → | ||
| 5–13 | -0.05 | 30% | 25 Jan → | ||
| 1–4 | 0.10 | 50% | 24 Jan → | ||
| 11–13 | -0.01 | 23% | 23 Jan → | ||
| 13–6 | -0.04 | 11% | 22 Jan → | ||
| 13–7 | 0.00 | 28% | 21 Jan → | ||
| 13–4 | -0.03 | 28% | 18 Jan → | ||
| 13–5 | 0.01 | 26% | 17 Jan → | ||
| 9–13 | 0.14 | 11% | 16 Jan → | ||
| cache_b | 13–4 | 0.21 | 29% | 16 Jan → | |
| 7–13 | -0.05 | 18% | 10 Jan → | ||
| 13–11 | 0.10 | 19% | 10 Jan → | ||
| 13–9 | 0.08 | 16% | 10 Jan → | ||
| 13–9 | -0.00 | 10% | 10 Jan → | ||
| 13–3 | 0.05 | 31% | 9 Jan → | ||
| 13–5 | 0.02 | 28% | 9 Jan → | ||
| 13–7 | 0.11 | 23% | 9 Jan → | ||
| 7–13 | 0.00 | 24% | 6 Jan → | ||
| 9–13 | -0.03 | 21% | 6 Jan → | ||
| 13–5 | 0.04 | 21% | 2 Jan → | ||
| 8–13 | -0.00 | 26% | 1 Jan → | ||
| 5–13 | -0.01 | 19% | 1 Jan → | ||
| 11–13 | 0.10 | 31% | 31 Dec → | ||
| 19–15 | 0.02 | 25% | 31 Dec → | ||
| 8–13 | -0.03 | 40% | 31 Dec → | ||
| 13–1 | 0.09 | 24% | 31 Dec → | ||
| 13–11 | 0.06 | 23% | 31 Dec → | ||
| 8–13 | -0.02 | 24% | 24 Dec → | ||
| cache_b | 13–7 | 0.10 | 25% | 23 Dec → | |
| 10–13 | 0.01 | 17% | 23 Dec → | ||
| 9–13 | -0.11 | 25% | 18 Dec → | ||
| 13–10 | -0.02 | 30% | 18 Dec → | ||
| 11–13 | 0.01 | 9% | 18 Dec → | ||
| 9–1 | 0.03 | 32% | 18 Dec → | ||
| 13–16 | -0.00 | 34% | 6 Dec → | ||
| 19–17 | -0.00 | 19% | 5 Dec → | ||
| 13–5 | 0.01 | 16% | 5 Dec → | ||
| 8–13 | -0.05 | 9% | 29 Nov → | ||
| 8–13 | -0.03 | 17% | 29 Nov → | ||
| 13–9 | 0.07 | 14% | 29 Nov → | ||
| cache_b | 4–13 | 0.00 | 17% | 29 Nov → | |
| aim_map | 13–9 | 0.08 | 41% | 29 Nov → | |
| 13–6 | 0.06 | 17% | 27 Nov → | ||
| 13–10 | 0.01 | 11% | 27 Nov → | ||
| 13–4 | 0.05 | 26% | 26 Nov → | ||
| 16–14 | -0.01 | 12% | 26 Nov → | ||
| 2–13 | -0.08 | 25% | 25 Nov → | ||
| 13–9 | 0.04 | 18% | 25 Nov → | ||
| 9–13 | -0.00 | 14% | 25 Nov → | ||
| cache_b | 13–7 | 0.06 | 30% | 25 Nov → | |
| 13–10 | -0.04 | 19% | 24 Nov → | ||
| 13–10 | -0.03 | 22% | 24 Nov → | ||
| 8–13 | 0.11 | 23% | 22 Nov → | ||
| 11–13 | 0.11 | 30% | 21 Nov → | ||
| 16–14 | 0.00 | 17% | 17 Nov → | ||
| 16–19 | -0.00 | 17% | 15 Nov → | ||
| 16–13 | -0.03 | 29% | 15 Nov → | ||
| 13–10 | -0.01 | 24% | 15 Nov → | ||
| 6–13 | 0.02 | 28% | 15 Nov → | ||
| 16–13 | 0.01 | 32% | 15 Nov → | ||
| 5–13 | 0.03 | 15% | 14 Nov → | ||
| 13–10 | 0.14 | 23% | 14 Nov → | ||
| 13–6 | 0.07 | 33% | 13 Nov → | ||
| 13–7 | 0.04 | 22% | 8 Nov → | ||
| 13–5 | 0.09 | 15% | 8 Nov → | ||
| 8–13 | 0.03 | 23% | 7 Nov → | ||
| 13–6 | -0.00 | 20% | 7 Nov → | ||
| 13–8 | 0.05 | 7% | 6 Nov → |
Match data via Leetify.