ddrawnn — CS2 Stats
76561197999958535[U:1:39692807]
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 | vs Level 10 |
|---|---|---|---|
| Headshot rate | 40.1% | 52.8% | 12.6% short |
| Shot accuracy | 24.8% | 13.7% | above |
| Kill/death ratio | 1.45 | 1.08 | above |
| Match win rate | 74.0% | 49.2% | above |
This profile matches the typical Level 10 player on 3 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -20pp win rate · +0.02 avg rating
Player DNA
Primary style: Clutch Specialist — Late-round 1vX conversion well above par.
Limited utility dependenceReliable in 1v1s
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 87% playstyle similarity
Most alike: opening-fight frequency, opening-duel success.
Where you differ: 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
Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.
Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
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 6.1/10 (Solid), 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 | 18 | 11–7 | 61% | 0.03 | |
| S | 13 | 9–4 | 69% | 0.00 | |
| D | 10 | 1–9 | 10% | -0.01 | |
| A | 9 | 5–4 | 56% | -0.00 | |
| S | 7 | 5–2 | 71% | 0.06 | |
| B | 6 | 3–3 | 50% | 0.01 | |
| A | 5 | 3–2 | 60% | -0.02 | |
| — | 4 | 3–1 | 75% | 0.02 | |
| — | 4 | 2–2 | 50% | 0.00 | |
| sanctum | — | 3 | 1–2 | 33% | -0.01 |
| boulder | — | 2 | 2–0 | 100% | 0.05 |
| poseidon | — | 2 | 0–2 | 0% | -0.08 |
| warden | — | 2 | 0–2 | 0% | -0.03 |
| golden | — | 2 | 1–1 | 50% | -0.01 |
| rooftop | — | 2 | 1–1 | 50% | 0.00 |
| — | 2 | 1–1 | 50% | 0.04 | |
| eldorado | — | 1 | 0–1 | 0% | -0.07 |
| debris | — | 1 | 1–0 | 100% | 0.11 |
| fachwerk | — | 1 | 1–0 | 100% | -0.04 |
| shelter | — | 1 | 1–0 | 100% | -0.03 |
| alpine | — | 1 | 0–1 | 0% | 0.04 |
| palacio | — | 1 | 1–0 | 100% | 0.03 |
| jura | — | 1 | 1–0 | 100% | 0.03 |
| agency | — | 1 | 0–1 | 0% | -0.03 |
| grail | — | 1 | 1–0 | 100% | 0.06 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Ancient 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 resultsWLWWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Inferno | 2 | 50% | 1.15 | 20.0 |
| Mirage | 1 | 0% | 0.80 | 12.0 |
| Ancient | 1 | 100% | 1.42 | 17.0 |
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 0.2339 — 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 36.0471% — 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.
10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 15–15 | -0.00 | 18% | 26 Aug → | ||
| 13–2 | 0.14 | 29% | 16 Aug → | ||
| 13–4 | 0.06 | 7% | 16 Aug → | ||
| 13–11 | 0.03 | 20% | 16 Aug → | ||
| 11–13 | -0.04 | 12% | 15 Aug → | ||
| 7–13 | -0.01 | 16% | 15 Aug → | ||
| 8–13 | -0.07 | 16% | 26 Jul → | ||
| 13–5 | 0.15 | 23% | 26 Jul → | ||
| 16–13 | 0.03 | 13% | 23 Jul → | ||
| 6–13 | -0.02 | 10% | 23 Jul → | ||
| 13–7 | 0.08 | 13% | 23 Jul → | ||
| eldorado | 6–9 | -0.07 | 9% | 23 Jul → | |
| debris | 9–3 | 0.11 | 28% | 23 Jul → | |
| boulder | 13–8 | 0.03 | 17% | 20 Jul → | |
| 13–7 | 0.08 | 17% | 17 Jul → | ||
| 7–13 | -0.10 | 11% | 17 Jul → | ||
| 4–13 | -0.07 | 10% | 15 Jul → | ||
| 13–11 | 0.01 | 21% | 15 Jul → | ||
| 13–3 | 0.09 | 20% | 15 Jul → | ||
| fachwerk | 13–11 | -0.04 | 10% | 12 Jul → | |
| shelter | 13–5 | -0.03 | 11% | 12 Jul → | |
| boulder | 4–1 | 0.07 | 14% | 12 Jul → | |
| 13–7 | -0.01 | 10% | 1 Jun → | ||
| 13–7 | 0.05 | 22% | 1 Jun → | ||
| alpine | 7–13 | 0.04 | 16% | 28 May → | |
| 13–5 | 0.16 | 14% | 20 May → | ||
| 8–13 | -0.06 | 20% | 20 May → | ||
| 13–5 | 0.01 | 6% | 20 May → | ||
| sanctum | 6–9 | -0.13 | 15% | 17 May → | |
| 13–7 | 0.05 | 27% | 16 May → | ||
| 9–3 | 0.04 | 22% | 16 May → | ||
| 3–7 | -0.06 | 14% | 10 May → | ||
| 13–7 | -0.01 | 9% | 10 May → | ||
| 13–8 | 0.03 | 18% | 10 May → | ||
| 11–13 | -0.07 | 19% | 1 May → | ||
| sanctum | 9–3 | 0.15 | 11% | 1 May → | |
| sanctum | 4–9 | -0.06 | 18% | 1 May → | |
| poseidon | 6–9 | -0.04 | 19% | 27 Apr → | |
| 8–8 | 0.04 | 22% | 27 Apr → | ||
| 7–13 | 0.02 | 19% | 11 Apr → | ||
| 9–13 | 0.01 | 11% | 11 Apr → | ||
| 1–13 | -0.06 | 6% | 11 Apr → | ||
| 13–8 | 0.08 | 8% | 11 Apr → | ||
| 13–10 | -0.03 | 17% | 5 Apr → | ||
| 10–13 | -0.01 | 15% | 15 Mar → | ||
| 3–13 | 0.02 | 9% | 15 Mar → | ||
| 2–13 | -0.05 | 4% | 15 Mar → | ||
| warden | 10–13 | -0.02 | 10% | 15 Mar → | |
| 13–3 | 0.10 | 13% | 12 Mar → | ||
| 9–4 | 0.03 | 15% | 12 Mar → | ||
| 3–9 | -0.18 | 7% | 12 Mar → | ||
| warden | 12–12 | -0.05 | 12% | 25 Jan → | |
| poseidon | 4–9 | -0.12 | 40% | 25 Jan → | |
| golden | 6–13 | -0.07 | 31% | 23 Dec → | |
| 9–5 | 0.06 | 9% | 22 Dec → | ||
| 11–13 | -0.03 | 15% | 22 Dec → | ||
| 12–12 | 0.08 | 14% | 22 Dec → | ||
| 13–4 | 0.06 | 11% | 20 Dec → | ||
| rooftop | 9–6 | -0.00 | 6% | 20 Dec → | |
| 9–4 | 0.07 | 13% | 20 Dec → | ||
| 13–11 | -0.03 | 16% | 3 Dec → | ||
| 11–13 | -0.00 | 7% | 1 Dec → | ||
| 12–12 | -0.05 | 12% | 1 Dec → | ||
| 6–13 | -0.02 | 19% | 1 Dec → | ||
| 13–11 | -0.01 | 15% | 30 Nov → | ||
| 8–13 | 0.05 | 12% | 29 Nov → | ||
| 13–3 | 0.02 | 12% | 26 Nov → | ||
| 13–9 | -0.01 | 25% | 26 Nov → | ||
| 13–6 | 0.02 | 15% | 26 Nov → | ||
| rooftop | 6–9 | 0.00 | 14% | 15 Nov → | |
| 13–7 | 0.02 | 11% | 15 Nov → | ||
| 13–6 | 0.07 | 20% | 13 Nov → | ||
| 13–8 | 0.06 | 12% | 3 Nov → | ||
| 16–14 | -0.03 | 21% | 3 Nov → | ||
| 11–13 | -0.01 | 6% | 3 Nov → | ||
| 4–13 | -0.10 | 13% | 3 Nov → | ||
| 6–9 | 0.05 | 19% | 2 Nov → | ||
| palacio | 13–8 | 0.03 | 9% | 19 Oct → | |
| golden | 13–5 | 0.05 | 6% | 19 Oct → | |
| 13–3 | 0.03 | 11% | 19 Oct → | ||
| 13–2 | 0.10 | 13% | 19 Oct → | ||
| 11–13 | 0.02 | 16% | 23 Sept → | ||
| 9–7 | 0.10 | 13% | 24 Aug → | ||
| 13–6 | 0.10 | 11% | 3 Aug → | ||
| 5–13 | 0.01 | 15% | 3 Aug → | ||
| 13–7 | 0.07 | 12% | 3 Aug → | ||
| jura | 13–2 | 0.03 | 11% | 3 Aug → | |
| 6–13 | 0.04 | 15% | 27 Jul → | ||
| 3–3 | -0.03 | 13% | 27 Jul → | ||
| 13–5 | 0.00 | 8% | 27 Jul → | ||
| agency | 7–13 | -0.03 | 8% | 27 Jul → | |
| grail | 13–8 | 0.06 | 15% | 27 Jul → | |
| 9–13 | 0.01 | 13% | 27 Jul → | ||
| 13–9 | 0.03 | 8% | 27 Jul → | ||
| 13–3 | 0.02 | 10% | 27 Jul → | ||
| 11–13 | -0.05 | 9% | 26 Jul → | ||
| 8–2 | 0.03 | 21% | 26 Jul → | ||
| 6–13 | -0.02 | 15% | 20 Jul → | ||
| 13–11 | 0.03 | 14% | 20 Jul → | ||
| 5–13 | -0.05 | 17% | 20 Jul → |
Match data via Leetify.