chop — CS2 Stats
76561198203239207[U:1:242973479]
How this compares with the same rank
Median values for Level 10 among CSDB-tracked players (n=218), 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 | 60.0% | 52.8% |
| Shot accuracy | 17.9% | 13.7% |
| Kill/death ratio | 1.00 | 1.08 |
| Match win rate | 52.6% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · -0.01 avg rating
Player DNA
Primary style: Support — Utility contribution leads the profile while opening activity stays low.
Sharp aimerExcellent counter-strafing
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 83% playstyle similarity
Most alike: aim profile, utility contribution.
Where you differ: lower opening-duel success; lower opening-fight frequency.
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
Strengths
Aim. Aim score of 93 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Preaim. Mechanical aim is strong but the crosshair sits 10.9° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 51 points — deaths here waste a strong aim profile.
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 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 |
|---|---|---|---|---|---|
| S | 24 | 18–6 | 75% | 0.00 | |
| S | 15 | 10–5 | 67% | 0.01 | |
| B | 15 | 7–8 | 47% | -0.01 | |
| A | 13 | 8–5 | 62% | -0.01 | |
| D | 12 | 4–8 | 33% | -0.02 | |
| S | 11 | 9–2 | 82% | 0.01 | |
| B | 6 | 3–3 | 50% | -0.01 | |
| — | 4 | 1–3 | 25% | -0.02 |
Across the last 100 tracked matches.
Overpass is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Overpass 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 resultsWWLLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 127 | 69% | 1.28 | 16.4 |
| Mirage | 87 | 62% | 1.38 | 17.7 |
| Anubis | 71 | 69% | 1.35 | 15.3 |
| Inferno | 64 | 77% | 1.32 | 14.0 |
| Nuke | 63 | 65% | 1.41 | 16.3 |
| Dust2 | 47 | 62% | 1.29 | 15.3 |
| Overpass | 34 | 65% | 1.36 | 15.6 |
| Train | 20 | 65% | 1.32 | 15.2 |
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
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 18.11% — 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 12 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–11 | 0.04 | 44% | 15 Apr → | ||
| 13–4 | 0.08 | 36% | 15 Apr → | ||
| 3–13 | -0.02 | 48% | 15 Apr → | ||
| 13–11 | -0.03 | 29% | 13 Apr → | ||
| 13–10 | -0.02 | 20% | 13 Apr → | ||
| 13–10 | -0.01 | 32% | 3 Apr → | ||
| 4–13 | -0.05 | 64% | 3 Apr → | ||
| 8–13 | -0.07 | 31% | 3 Apr → | ||
| 13–11 | -0.02 | 22% | 1 Apr → | ||
| 13–4 | -0.03 | 23% | 1 Apr → | ||
| 13–2 | 0.05 | 34% | 1 Apr → | ||
| 8–13 | 0.05 | 33% | 28 Mar → | ||
| 6–13 | -0.06 | 40% | 28 Mar → | ||
| 13–11 | 0.03 | 36% | 27 Mar → | ||
| 14–16 | -0.04 | 32% | 27 Mar → | ||
| 2–13 | -0.04 | 19% | 27 Mar → | ||
| 13–11 | 0.01 | 17% | 26 Mar → | ||
| 13–8 | 0.02 | 34% | 26 Mar → | ||
| 3–13 | -0.08 | 30% | 8 Mar → | ||
| 5–13 | -0.02 | 56% | 8 Mar → | ||
| 8–13 | -0.06 | 10% | 8 Mar → | ||
| 4–13 | -0.06 | 19% | 7 Mar → | ||
| 13–10 | 0.03 | 24% | 7 Mar → | ||
| 13–8 | 0.01 | 11% | 7 Mar → | ||
| 13–3 | 0.04 | 18% | 7 Mar → | ||
| 16–13 | -0.01 | 40% | 6 Mar → | ||
| 9–13 | -0.00 | 48% | 6 Mar → | ||
| 16–14 | 0.02 | 31% | 6 Mar → | ||
| 13–4 | 0.02 | 18% | 5 Mar → | ||
| 16–13 | 0.02 | 29% | 5 Mar → | ||
| 13–4 | 0.10 | 18% | 26 Feb → | ||
| 7–13 | -0.06 | 13% | 25 Feb → | ||
| 4–13 | -0.12 | 31% | 24 Feb → | ||
| 3–13 | -0.13 | 27% | 24 Feb → | ||
| 13–6 | -0.01 | 14% | 23 Feb → | ||
| 13–10 | 0.01 | 29% | 23 Feb → | ||
| 13–9 | -0.04 | 24% | 22 Feb → | ||
| 13–8 | 0.02 | 18% | 22 Feb → | ||
| 13–10 | 0.02 | 23% | 21 Feb → | ||
| 9–13 | -0.00 | 33% | 21 Feb → | ||
| 1–13 | -0.01 | 26% | 21 Feb → | ||
| 13–2 | 0.01 | 13% | 19 Feb → | ||
| 13–1 | 0.06 | 29% | 19 Feb → | ||
| 13–10 | -0.01 | 19% | 18 Feb → | ||
| 13–5 | 0.12 | 30% | 18 Feb → | ||
| 13–7 | 0.16 | 25% | 11 Feb → | ||
| 13–3 | 0.08 | 15% | 8 Feb → | ||
| 11–13 | 0.01 | 27% | 8 Feb → | ||
| 13–7 | 0.04 | 15% | 8 Feb → | ||
| 14–16 | -0.03 | 18% | 6 Feb → | ||
| 11–13 | -0.01 | 25% | 6 Feb → | ||
| 13–9 | 0.01 | 21% | 6 Feb → | ||
| 16–19 | -0.04 | 24% | 1 Feb → | ||
| 9–13 | 0.01 | 27% | 1 Feb → | ||
| 13–6 | 0.03 | 15% | 1 Feb → | ||
| 13–11 | -0.03 | 29% | 31 Jan → | ||
| 13–3 | 0.04 | 19% | 31 Jan → | ||
| 9–13 | -0.05 | 28% | 30 Jan → | ||
| 0–4 | -0.12 | 0% | 30 Jan → | ||
| 13–9 | -0.02 | 12% | 30 Jan → | ||
| 13–6 | -0.05 | 29% | 30 Jan → | ||
| 13–7 | -0.04 | 34% | 30 Jan → | ||
| 9–13 | 0.02 | 24% | 11 Jan → | ||
| 13–5 | 0.08 | 17% | 11 Jan → | ||
| 17–19 | 0.01 | 28% | 11 Jan → | ||
| 13–9 | 0.06 | 19% | 11 Jan → | ||
| 13–6 | 0.01 | 17% | 11 Jan → | ||
| 13–5 | -0.00 | 13% | 10 Jan → | ||
| 13–11 | -0.04 | 16% | 10 Jan → | ||
| 2–13 | -0.03 | 18% | 10 Jan → | ||
| 13–10 | -0.03 | 12% | 10 Jan → | ||
| 9–13 | -0.02 | 15% | 10 Jan → | ||
| 10–13 | 0.01 | 16% | 4 Jan → | ||
| 13–10 | -0.04 | 15% | 4 Jan → | ||
| 15–19 | -0.00 | 27% | 4 Jan → | ||
| 13–7 | -0.03 | 20% | 3 Jan → | ||
| 13–3 | 0.01 | 19% | 3 Jan → | ||
| 19–22 | -0.02 | 11% | 3 Jan → | ||
| 13–11 | -0.00 | 15% | 3 Jan → | ||
| 10–13 | -0.05 | 30% | 3 Jan → | ||
| 13–3 | 0.01 | 11% | 3 Jan → | ||
| 13–5 | -0.02 | 19% | 3 Jan → | ||
| 13–11 | 0.01 | 22% | 31 Dec → | ||
| 13–8 | -0.00 | 29% | 20 Dec → | ||
| 5–13 | -0.06 | 21% | 11 Dec → | ||
| 10–13 | -0.03 | 32% | 16 Nov → | ||
| 7–13 | 0.03 | 41% | 16 Nov → | ||
| 11–14 | -0.00 | 40% | 16 Nov → | ||
| 4–13 | -0.03 | 23% | 16 Nov → | ||
| 13–8 | 0.09 | 31% | 15 Nov → | ||
| 13–9 | 0.05 | 21% | 15 Nov → | ||
| 13–7 | 0.02 | 27% | 15 Nov → | ||
| 13–9 | -0.03 | 29% | 15 Nov → | ||
| 13–9 | -0.03 | 22% | 13 Nov → | ||
| 13–6 | 0.02 | 25% | 13 Nov → | ||
| 9–13 | -0.02 | 21% | 12 Nov → | ||
| 13–7 | 0.03 | 21% | 12 Nov → | ||
| 13–5 | 0.02 | 27% | 12 Nov → | ||
| 9–13 | 0.02 | 27% | 11 Nov → | ||
| 9–13 | -0.03 | 35% | 11 Nov → |
Match data via Leetify.