ShawnDK — CS2 Stats
76561199035699141[U:1:1075433413]
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 | 46.3% | 52.8% |
| Shot accuracy | 4.7% | 13.7% |
| Kill/death ratio | 1.29 | 1.08 |
| Match win rate | 50.2% | 49.2% |
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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
Primary style: Entry Fragger — High opening-fight frequency with above-par success in them.
Sharp aimer
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 s1mple 92% 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
Strengths
Aim. Aim score of 86 — the mechanical foundation is a clear strength.
Areas to improve
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 7.1/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 25 | 12–13 | 48% | 0.01 | |
| B | 18 | 9–9 | 50% | 0.00 | |
| B | 15 | 7–8 | 47% | 0.04 | |
| A | 13 | 8–5 | 62% | 0.03 | |
| B | 10 | 5–5 | 50% | 0.01 | |
| S | 8 | 8–0 | 100% | 0.03 | |
| A | 7 | 4–3 | 57% | -0.00 | |
| — | 4 | 3–1 | 75% | 0.04 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (47% over 15). Start with the 6 essential Anubis 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 resultsLLLWL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 253 | 46% | 1.20 | 16.7 |
| Ancient | 192 | 54% | 1.28 | 16.2 |
| Inferno | 149 | 54% | 1.19 | 16.9 |
| Anubis | 138 | 54% | 1.21 | 16.7 |
| Nuke | 119 | 56% | 1.23 | 16.8 |
| Dust2 | 82 | 45% | 1.09 | 15.7 |
| Vertigo | 76 | 67% | 1.42 | 18.1 |
| Overpass | 35 | 66% | 1.21 | 16.7 |
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 0.4559 — below the 0.5 mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
47% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–3 | 0.13 | 22% | 26 Aug → | ||
| 11–13 | 0.05 | 12% | 26 Aug → | ||
| 13–9 | 0.13 | 43% | 26 Aug → | ||
| 11–13 | 0.02 | 10% | 30 Jul → | ||
| 13–5 | -0.03 | 29% | 27 Jul → | ||
| 13–10 | -0.04 | 18% | 26 Jul → | ||
| 7–13 | 0.03 | 19% | 25 Jul → | ||
| 16–14 | 0.02 | 21% | 25 Jul → | ||
| 8–13 | 0.10 | 22% | 25 Jul → | ||
| 7–13 | -0.03 | 21% | 25 Jul → | ||
| 9–13 | 0.04 | 31% | 25 Jul → | ||
| 13–9 | 0.03 | 14% | 24 Jul → | ||
| 13–7 | 0.07 | 26% | 24 Jul → | ||
| 13–10 | 0.01 | 30% | 23 Jul → | ||
| 13–6 | 0.02 | 19% | 22 Jul → | ||
| 10–13 | -0.03 | 15% | 22 Jul → | ||
| 9–13 | 0.08 | 18% | 16 Jul → | ||
| 13–4 | -0.01 | 14% | 11 Jul → | ||
| 13–4 | -0.02 | 12% | 11 Jul → | ||
| 4–13 | -0.01 | 20% | 9 Jul → | ||
| 10–13 | -0.02 | 15% | 8 Jul → | ||
| 7–13 | 0.10 | 27% | 6 Jul → | ||
| 13–2 | 0.09 | 11% | 2 Jul → | ||
| 13–6 | 0.01 | 17% | 2 Jul → | ||
| 13–9 | 0.03 | 13% | 2 Jul → | ||
| 11–13 | 0.03 | 14% | 30 Jun → | ||
| 13–10 | 0.04 | 16% | 30 Jun → | ||
| 13–7 | 0.08 | 20% | 29 Jun → | ||
| 13–11 | 0.05 | 22% | 29 Jun → | ||
| 13–9 | 0.10 | 19% | 29 Jun → | ||
| 7–13 | 0.05 | 21% | 28 Jun → | ||
| 10–13 | 0.10 | 17% | 26 May → | ||
| 13–9 | -0.04 | 18% | 20 May → | ||
| 13–3 | 0.07 | 15% | 6 May → | ||
| 13–2 | 0.11 | 23% | 6 May → | ||
| 13–3 | 0.02 | 24% | 2 May → | ||
| 10–13 | -0.02 | 9% | 2 May → | ||
| 13–11 | 0.07 | 14% | 2 May → | ||
| 2–0 | 0.00 | 0% | 28 Apr → | ||
| 4–13 | -0.05 | 14% | 27 Apr → | ||
| 13–9 | 0.04 | 17% | 27 Apr → | ||
| 9–13 | 0.01 | 14% | 27 Apr → | ||
| 7–13 | -0.04 | 24% | 27 Apr → | ||
| 4–13 | -0.06 | 17% | 27 Apr → | ||
| 13–3 | 0.12 | 42% | 27 Apr → | ||
| 6–13 | -0.02 | 11% | 27 Apr → | ||
| 11–13 | -0.03 | 29% | 27 Apr → | ||
| 13–5 | 0.03 | 20% | 27 Apr → | ||
| 10–13 | -0.02 | 20% | 24 Apr → | ||
| 13–5 | 0.02 | 28% | 24 Apr → | ||
| 11–13 | -0.05 | 27% | 24 Apr → | ||
| 13–9 | 0.02 | 31% | 24 Apr → | ||
| 13–5 | 0.02 | 9% | 24 Apr → | ||
| 13–11 | -0.00 | 10% | 24 Apr → | ||
| 13–10 | 0.02 | 17% | 24 Apr → | ||
| 13–3 | 0.16 | 15% | 24 Apr → | ||
| 13–6 | 0.08 | 17% | 24 Apr → | ||
| 13–6 | -0.02 | 19% | 24 Apr → | ||
| 11–13 | -0.00 | 15% | 24 Apr → | ||
| 0–4 | -0.11 | 0% | 24 Apr → | ||
| 11–13 | 0.06 | 13% | 24 Apr → | ||
| 9–13 | 0.10 | 11% | 24 Apr → | ||
| 4–13 | -0.04 | 16% | 24 Apr → | ||
| 13–6 | 0.02 | 13% | 23 Apr → | ||
| 13–11 | 0.01 | 15% | 23 Apr → | ||
| 16–13 | 0.01 | 15% | 23 Apr → | ||
| 8–13 | 0.03 | 17% | 23 Apr → | ||
| 13–7 | 0.03 | 21% | 23 Apr → | ||
| 6–13 | -0.04 | 15% | 23 Apr → | ||
| 13–5 | 0.01 | 11% | 23 Apr → | ||
| 13–3 | -0.01 | 17% | 20 Apr → | ||
| 7–13 | 0.07 | 22% | 20 Apr → | ||
| 13–6 | 0.12 | 16% | 20 Apr → | ||
| 13–0 | 0.01 | 11% | 20 Apr → | ||
| 1–13 | -0.09 | 25% | 20 Apr → | ||
| 4–13 | -0.05 | 19% | 20 Apr → | ||
| 5–13 | 0.03 | 29% | 20 Apr → | ||
| 13–7 | 0.00 | 26% | 20 Apr → | ||
| 7–13 | 0.03 | 19% | 20 Apr → | ||
| 10–13 | 0.06 | 21% | 20 Apr → | ||
| 13–5 | 0.07 | 31% | 20 Apr → | ||
| 4–13 | -0.05 | 20% | 20 Apr → | ||
| 13–6 | -0.06 | 14% | 15 Apr → | ||
| 16–13 | 0.01 | 21% | 15 Apr → | ||
| 13–3 | -0.05 | 32% | 15 Apr → | ||
| 13–2 | 0.03 | 11% | 15 Apr → | ||
| 8–13 | -0.02 | 37% | 15 Apr → | ||
| 13–4 | 0.04 | 22% | 15 Apr → | ||
| 13–8 | 0.02 | 6% | 14 Apr → | ||
| 13–11 | 0.02 | 12% | 14 Apr → | ||
| 1–3 | -0.11 | 0% | 14 Apr → | ||
| 2–13 | -0.05 | 20% | 14 Apr → | ||
| 10–13 | 0.00 | 7% | 14 Apr → | ||
| 3–1 | 0.15 | 22% | 14 Apr → | ||
| 11–13 | 0.09 | 21% | 14 Apr → | ||
| 0–13 | -0.05 | 35% | 14 Apr → | ||
| 7–13 | -0.03 | 29% | 14 Apr → | ||
| 13–8 | 0.05 | 23% | 14 Apr → | ||
| 12–5 | -0.09 | 10% | 14 Apr → | ||
| 13–10 | 0.02 | 18% | 13 Apr → |
Match data via Leetify.