JLA (^-^) — CS2 Stats
US76561198123452996[U:1:163187268]Steam profile ↗
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +20pp win rate · -0.03 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerStrong CT-side opener
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 ropz 92% playstyle similarity
Most alike: opening-fight frequency, positioning 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
Strengths
Aim. Aim score of 90 — the mechanical foundation is a clear strength.
Areas to improve
Positioning. Positioning trails aim by 34 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.
T-side openings. Opening success drops from 56% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 558ms 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 7.3/10 (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 |
|---|---|---|---|---|---|
| B | 23 | 11–12 | 48% | 0.02 | |
| B | 18 | 9–9 | 50% | 0.01 | |
| C | 12 | 5–7 | 42% | 0.01 | |
| A | 11 | 7–4 | 64% | 0.03 | |
| C | 10 | 4–6 | 40% | 0.01 | |
| A | 9 | 5–4 | 56% | -0.02 | |
| C | 7 | 3–4 | 43% | -0.01 | |
| C | 5 | 2–3 | 40% | 0.03 | |
| — | 2 | 1–1 | 50% | -0.05 | |
| office | — | 2 | 2–0 | 100% | 0.05 |
| — | 1 | 1–0 | 100% | 0.09 |
Across the last 100 tracked matches.
Nuke is currently your weakest sufficiently-sampled map (40% over 10). 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 resultsLLWLL
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 0.4575 — 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 33.3828% — 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.
40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 9–13 | 0.04 | 19% | 27 Aug → | ||
| 13–9 | 0.06 | 28% | 27 Aug → | ||
| 13–11 | -0.04 | 35% | 26 Aug → | ||
| 12–12 | -0.01 | 25% | 26 Aug → | ||
| 13–9 | -0.02 | 31% | 26 Aug → | ||
| 13–7 | 0.02 | 25% | 25 Aug → | ||
| 7–13 | -0.13 | 25% | 24 Aug → | ||
| 13–5 | 0.02 | 38% | 23 Aug → | ||
| 13–5 | -0.01 | 32% | 23 Aug → | ||
| 13–9 | 0.05 | 35% | 23 Aug → | ||
| 4–13 | -0.04 | 26% | 23 Aug → | ||
| 4–13 | 0.05 | 24% | 23 Aug → | ||
| 7–13 | -0.04 | 26% | 23 Aug → | ||
| 12–1 | 0.03 | 44% | 23 Aug → | ||
| 13–2 | 0.07 | 41% | 23 Aug → | ||
| 13–5 | 0.08 | 32% | 23 Aug → | ||
| 13–2 | 0.05 | 27% | 23 Aug → | ||
| 5–13 | 0.03 | 33% | 23 Aug → | ||
| 12–12 | -0.03 | 32% | 23 Aug → | ||
| office | 13–9 | 0.05 | 37% | 22 Aug → | |
| 13–6 | 0.00 | 34% | 22 Aug → | ||
| 6–13 | 0.02 | 21% | 22 Aug → | ||
| 13–8 | -0.02 | 26% | 22 Aug → | ||
| 13–9 | 0.07 | 23% | 22 Aug → | ||
| 13–5 | 0.07 | 22% | 22 Aug → | ||
| 13–11 | 0.02 | 25% | 22 Aug → | ||
| 5–13 | 0.03 | 32% | 22 Aug → | ||
| 13–9 | 0.04 | 36% | 22 Aug → | ||
| 12–12 | -0.01 | 43% | 22 Aug → | ||
| 11–13 | 0.07 | 22% | 22 Aug → | ||
| 13–7 | 0.04 | 22% | 22 Aug → | ||
| 13–11 | 0.01 | 31% | 22 Aug → | ||
| 13–10 | 0.05 | 21% | 21 Aug → | ||
| 13–11 | -0.00 | 32% | 21 Aug → | ||
| 13–7 | 0.08 | 16% | 21 Aug → | ||
| 13–6 | 0.09 | 33% | 21 Aug → | ||
| 12–12 | 0.10 | 20% | 21 Aug → | ||
| 13–11 | 0.02 | 24% | 21 Aug → | ||
| 11–13 | 0.02 | 19% | 21 Aug → | ||
| 12–12 | -0.07 | 18% | 21 Aug → | ||
| 8–13 | -0.02 | 13% | 20 Aug → | ||
| 5–13 | -0.02 | 18% | 17 Aug → | ||
| 6–1 | 0.02 | 21% | 17 Aug → | ||
| 8–13 | -0.01 | 22% | 17 Aug → | ||
| 7–13 | -0.05 | 13% | 16 Aug → | ||
| 13–10 | 0.11 | 16% | 15 Aug → | ||
| 13–6 | 0.07 | 52% | 15 Aug → | ||
| 13–7 | 0.10 | 25% | 15 Aug → | ||
| 12–12 | -0.20 | 67% | 13 Aug → | ||
| 13–8 | -0.00 | 33% | 12 Aug → | ||
| 13–6 | 0.06 | 51% | 12 Aug → | ||
| 8–13 | -0.05 | 23% | 12 Aug → | ||
| 12–12 | 0.03 | 21% | 11 Aug → | ||
| 12–12 | 0.02 | 31% | 11 Aug → | ||
| 8–13 | 0.04 | 28% | 11 Aug → | ||
| 11–13 | -0.04 | 29% | 10 Aug → | ||
| 5–13 | -0.00 | 42% | 10 Aug → | ||
| 13–8 | -0.05 | 33% | 10 Aug → | ||
| 13–7 | 0.01 | 46% | 10 Aug → | ||
| 13–9 | -0.08 | 28% | 9 Aug → | ||
| 9–1 | -0.00 | 17% | 9 Aug → | ||
| 5–13 | -0.05 | 0% | 9 Aug → | ||
| 8–13 | 0.01 | 40% | 9 Aug → | ||
| 8–13 | 0.01 | 30% | 9 Aug → | ||
| 6–13 | 0.01 | 25% | 9 Aug → | ||
| 13–11 | 0.04 | 23% | 9 Aug → | ||
| 3–5 | -0.00 | 83% | 9 Aug → | ||
| 13–6 | 0.00 | 29% | 9 Aug → | ||
| 12–12 | -0.02 | 37% | 9 Aug → | ||
| 13–8 | -0.02 | 19% | 9 Aug → | ||
| 13–8 | 0.06 | 33% | 9 Aug → | ||
| 1–13 | -0.09 | 21% | 8 Aug → | ||
| 13–8 | 0.07 | 35% | 7 Aug → | ||
| 9–13 | -0.02 | 43% | 7 Aug → | ||
| 7–13 | 0.09 | 49% | 7 Aug → | ||
| 8–13 | 0.12 | 47% | 5 Aug → | ||
| 13–3 | 0.09 | 14% | 5 Aug → | ||
| 4–13 | -0.09 | 29% | 5 Aug → | ||
| 12–12 | -0.00 | 17% | 5 Aug → | ||
| 7–13 | 0.11 | 28% | 5 Aug → | ||
| 7–13 | 0.01 | 23% | 5 Aug → | ||
| 13–9 | 0.06 | 25% | 4 Aug → | ||
| 1–4 | -0.07 | 30% | 4 Aug → | ||
| 12–12 | 0.07 | 52% | 4 Aug → | ||
| 9–13 | 0.04 | 33% | 4 Aug → | ||
| 9–13 | -0.02 | 16% | 4 Aug → | ||
| 13–7 | 0.02 | 29% | 2 Aug → | ||
| 4–13 | -0.04 | 44% | 31 Jul → | ||
| 13–0 | 0.01 | 13% | 31 Jul → | ||
| 13–11 | 0.02 | 27% | 31 Jul → | ||
| 13–9 | 0.00 | 11% | 31 Jul → | ||
| 6–13 | -0.04 | 33% | 31 Jul → | ||
| office | 13–5 | 0.04 | 19% | 31 Jul → | |
| 4–13 | 0.04 | 17% | 31 Jul → | ||
| 0–4 | -0.15 | 0% | 29 Jul → | ||
| 6–9 | 0.02 | 40% | 29 Jul → | ||
| 13–6 | -0.03 | 16% | 28 Jul → | ||
| 13–9 | -0.01 | 12% | 28 Jul → | ||
| 13–11 | 0.06 | 19% | 28 Jul → | ||
| 3–13 | -0.00 | 5% | 28 Jul → |
Match data via Leetify.