Stylin — CS2 Stats
76561198083652432[U:1:123386704]
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 | 58.1% | 52.8% |
| Shot accuracy | 19.4% | 13.7% |
| Kill/death ratio | 0.96 | 1.08 |
| Match win rate | 40.7% | 49.2% |
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Effective flashes
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 jL 97% playstyle similarity
Most alike: opening-duel success, 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.
Reaction time. 586ms 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 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 |
|---|---|---|---|---|---|
| A | 22 | 12–10 | 55% | 0.04 | |
| S | 18 | 13–5 | 72% | 0.06 | |
| A | 11 | 6–5 | 55% | 0.06 | |
| C | 10 | 4–6 | 40% | 0.03 | |
| S | 9 | 7–2 | 78% | 0.08 | |
| C | 7 | 3–4 | 43% | 0.08 | |
| D | 6 | 2–4 | 33% | 0.03 | |
| B | 6 | 3–3 | 50% | 0.03 | |
| — | 4 | 2–2 | 50% | 0.07 | |
| office | — | 4 | 3–1 | 75% | 0.03 |
| warden | — | 1 | 0–1 | 0% | 0.09 |
| mills | — | 1 | 0–1 | 0% | -0.01 |
| thera | — | 1 | 0–1 | 0% | 0.02 |
Across the last 100 tracked matches.
Ancient is currently your weakest sufficiently-sampled map (33% over 6). 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 |
|---|---|---|---|---|
| Dust2 | 2 | 50% | 0.68 | 8.0 |
| Anubis | 2 | 50% | 0.94 | 13.5 |
| Ancient | 2 | 50% | 0.76 | 13.0 |
| Vertigo | 1 | 0% | 0.53 | 9.0 |
| Inferno | 1 | 100% | 1.25 | 15.0 |
| Mirage | 1 | 100% | 0.79 | 11.0 |
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
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 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 8–13 | 0.08 | 31% | 23 Jul → | ||
| 8–8 | 0.07 | 13% | 20 Jul → | ||
| 13–7 | 0.05 | 21% | 14 Jul → | ||
| 13–10 | 0.04 | 17% | 14 Jul → | ||
| 13–6 | 0.03 | 53% | 14 Jul → | ||
| 11–13 | 0.03 | 30% | 14 Jul → | ||
| 10–13 | 0.04 | 14% | 14 Jul → | ||
| 13–6 | 0.00 | 23% | 12 Jul → | ||
| 10–13 | 0.08 | 16% | 11 Jul → | ||
| 0–13 | -0.04 | 14% | 11 Jul → | ||
| 13–2 | 0.08 | 18% | 11 Jul → | ||
| 2–13 | -0.03 | 11% | 11 Jul → | ||
| 4–13 | -0.03 | 23% | 10 Jul → | ||
| 13–8 | 0.06 | 30% | 10 Jul → | ||
| 13–9 | 0.08 | 30% | 10 Jul → | ||
| 13–5 | 0.16 | 27% | 9 Jul → | ||
| 13–4 | 0.11 | 23% | 8 Jul → | ||
| 13–11 | 0.13 | 24% | 3 Jul → | ||
| 13–4 | 0.13 | 27% | 3 Jul → | ||
| 4–1 | -0.09 | 40% | 3 Jul → | ||
| 13–16 | -0.00 | 19% | 2 Jul → | ||
| 13–7 | 0.12 | 24% | 2 Jul → | ||
| 10–13 | 0.01 | 21% | 1 Jul → | ||
| 13–3 | 0.04 | 26% | 1 Jul → | ||
| 13–6 | 0.00 | 15% | 1 Jul → | ||
| 13–5 | 0.06 | 21% | 30 Jun → | ||
| 13–7 | 0.10 | 17% | 30 Jun → | ||
| 4–13 | -0.01 | 16% | 30 Jun → | ||
| 13–5 | 0.04 | 25% | 28 Jun → | ||
| 6–13 | -0.01 | 21% | 27 Jun → | ||
| 13–8 | 0.09 | 25% | 27 Jun → | ||
| 5–13 | 0.05 | 22% | 16 Jun → | ||
| 13–9 | 0.10 | 36% | 14 Jun → | ||
| 3–5 | 0.03 | 38% | 14 Jun → | ||
| 16–13 | -0.02 | 28% | 14 Jun → | ||
| 11–13 | 0.08 | 22% | 13 Jun → | ||
| 13–4 | 0.10 | 22% | 13 Jun → | ||
| 10–13 | 0.06 | 21% | 13 Jun → | ||
| 5–13 | 0.06 | 27% | 13 Jun → | ||
| 7–13 | 0.05 | 33% | 12 Jun → | ||
| 13–11 | 0.05 | 20% | 11 Jun → | ||
| 8–13 | 0.07 | 22% | 10 Jun → | ||
| 13–7 | 0.12 | 20% | 10 Jun → | ||
| 9–5 | 0.16 | 24% | 10 Jun → | ||
| 0–13 | -0.07 | 50% | 8 Jun → | ||
| 6–13 | -0.00 | 27% | 8 Jun → | ||
| 13–8 | 0.09 | 25% | 7 Jun → | ||
| 4–13 | -0.01 | 31% | 7 Jun → | ||
| 8–13 | -0.01 | 8% | 7 Jun → | ||
| 9–13 | 0.00 | 42% | 6 Jun → | ||
| 2–13 | 0.05 | 27% | 6 Jun → | ||
| 13–10 | 0.11 | 24% | 6 Jun → | ||
| 5–13 | 0.03 | 23% | 31 May → | ||
| 13–10 | 0.11 | 30% | 30 May → | ||
| 13–9 | 0.13 | 31% | 29 May → | ||
| 7–3 | 0.15 | 29% | 29 May → | ||
| 4–13 | 0.05 | 24% | 29 May → | ||
| 13–9 | 0.06 | 15% | 27 May → | ||
| 13–9 | 0.13 | 31% | 26 May → | ||
| 8–4 | 0.08 | 37% | 24 May → | ||
| 8–13 | 0.05 | 31% | 23 May → | ||
| 13–8 | 0.00 | 24% | 23 May → | ||
| 6–13 | 0.03 | 22% | 23 May → | ||
| 7–13 | 0.03 | 30% | 22 May → | ||
| warden | 12–12 | 0.09 | 33% | 20 May → | |
| 10–3 | 0.05 | 32% | 20 May → | ||
| office | 13–7 | 0.11 | 55% | 20 May → | |
| 10–13 | 0.14 | 28% | 19 May → | ||
| 13–10 | 0.23 | 16% | 23 May → | ||
| mills | 12–12 | -0.01 | 15% | 18 Aug → | |
| thera | 8–13 | 0.02 | 17% | 18 Aug → | |
| 5–13 | -0.04 | 50% | 16 Jun → | ||
| 13–3 | 0.21 | 32% | 3 Jun → | ||
| office | 13–8 | 0.05 | 27% | 1 May → | |
| office | 6–13 | 0.02 | 29% | 27 Apr → | |
| 13–8 | 0.07 | 24% | 23 Mar → | ||
| 13–6 | -0.04 | 30% | 9 Mar → | ||
| 13–5 | 0.06 | 21% | 9 Mar → | ||
| 13–8 | 0.05 | 29% | 9 Mar → | ||
| 6–13 | 0.04 | 37% | 22 Dec → | ||
| 11–13 | -0.00 | 25% | 26 Nov → | ||
| office | 13–6 | -0.05 | 17% | 24 Nov → | |
| 16–12 | 0.09 | 28% | 1 Apr → | ||
| 9–16 | -0.02 | 29% | 19 Mar → | ||
| 19–16 | 0.03 | 29% | 8 Feb → | ||
| 16–8 | 0.04 | 63% | 8 Feb → | ||
| 15–19 | 0.06 | 27% | 29 Jan → | ||
| 22–19 | 0.11 | 21% | 27 Jan → | ||
| 14–16 | -0.01 | 6% | 27 Jan → | ||
| 16–9 | 0.08 | 10% | 16 Jan → | ||
| 8–16 | -0.01 | 7% | 16 Jan → | ||
| 19–16 | 0.03 | 11% | 11 Jan → | ||
| 16–8 | 0.04 | 11% | 11 Jan → | ||
| 11–16 | -0.00 | 13% | 11 Jan → | ||
| 16–5 | 0.15 | 17% | 10 Jan → | ||
| 16–12 | 0.05 | 19% | 5 Jan → | ||
| 16–11 | 0.02 | 28% | 31 Dec → | ||
| 16–13 | -0.03 | 19% | 31 Dec → | ||
| 13–16 | 0.11 | 21% | 31 Dec → | ||
| 8–16 | -0.06 | 21% | 31 Dec → |
Match data via Leetify.
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