L3STR1 — CS2 Stats
76561198289387096[U:1:329121368]Steam profile ↗
Share this profile
The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +50pp win rate · -0.02 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerEffective 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 donk 97% playstyle similarity
Most alike: utility contribution, 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 96 — 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 7.7/10 (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 |
|---|---|---|---|---|---|
| C | 37 | 15–22 | 41% | 0.07 | |
| B | 23 | 12–11 | 52% | 0.03 | |
| B | 19 | 10–9 | 53% | 0.04 | |
| D | 9 | 3–6 | 33% | 0.01 | |
| S | 5 | 4–1 | 80% | 0.08 | |
| — | 4 | 3–1 | 75% | 0.05 | |
| — | 3 | 1–2 | 33% | 0.00 |
Across the last 100 tracked matches.
Mirage is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWLLL
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Ancient | 416 | 55% | 1.26 | 18.1 |
| Dust2 | 371 | 52% | 1.15 | 17.1 |
| Inferno | 347 | 58% | 1.37 | 18.9 |
| Anubis | 207 | 52% | 1.16 | 17.6 |
| Nuke | 122 | 44% | 1.22 | 16.8 |
| Mirage | 121 | 44% | 1.11 | 17.0 |
| Vertigo | 61 | 62% | 1.35 | 20.7 |
| Train | 29 | 55% | 1.44 | 17.1 |
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 9 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | 0.06 | 19% | 27 Aug → | ||
| 13–10 | 0.07 | 21% | 27 Aug → | ||
| 13–3 | 0.07 | 23% | 27 Aug → | ||
| 10–13 | -0.03 | 28% | 27 Aug → | ||
| 13–10 | 0.01 | 25% | 27 Aug → | ||
| 13–10 | 0.04 | 33% | 26 Aug → | ||
| 10–13 | -0.04 | 15% | 26 Aug → | ||
| 13–7 | 0.12 | 25% | 26 Aug → | ||
| 13–10 | 0.03 | 18% | 26 Aug → | ||
| 13–2 | 0.16 | 30% | 25 Aug → | ||
| 9–13 | -0.00 | 20% | 24 Aug → | ||
| 13–8 | 0.11 | 24% | 24 Aug → | ||
| 7–13 | 0.19 | 27% | 23 Aug → | ||
| 13–5 | 0.21 | 27% | 23 Aug → | ||
| 11–13 | 0.07 | 28% | 23 Aug → | ||
| 13–1 | 0.12 | 26% | 22 Aug → | ||
| 0–13 | 0.00 | 47% | 22 Aug → | ||
| 13–16 | 0.07 | 16% | 22 Aug → | ||
| 5–13 | -0.01 | 18% | 22 Aug → | ||
| 11–13 | -0.04 | 18% | 22 Aug → | ||
| 8–13 | 0.06 | 14% | 22 Aug → | ||
| 8–13 | 0.02 | 25% | 22 Aug → | ||
| 0–3 | 0.04 | 75% | 21 Aug → | ||
| 0–13 | -0.11 | 0% | 21 Aug → | ||
| 0–13 | 0.00 | 0% | 21 Aug → | ||
| 0–13 | -0.00 | 100% | 21 Aug → | ||
| 13–11 | 0.04 | 15% | 21 Aug → | ||
| 0–13 | 0.01 | 22% | 21 Aug → | ||
| 13–7 | 0.03 | 10% | 21 Aug → | ||
| 13–2 | 0.17 | 24% | 21 Aug → | ||
| 8–13 | 0.02 | 28% | 21 Aug → | ||
| 0–13 | -0.02 | 45% | 20 Aug → | ||
| 13–10 | 0.07 | 17% | 20 Aug → | ||
| 1–13 | 0.03 | 38% | 20 Aug → | ||
| 6–13 | 0.01 | 18% | 19 Aug → | ||
| 10–13 | -0.01 | 15% | 19 Aug → | ||
| 7–13 | -0.02 | 16% | 19 Aug → | ||
| 2–13 | -0.01 | 15% | 19 Aug → | ||
| 13–9 | 0.16 | 16% | 19 Aug → | ||
| 13–8 | 0.03 | 18% | 19 Aug → | ||
| 6–0 | 0.19 | 21% | 19 Aug → | ||
| 0–13 | -0.01 | 14% | 19 Aug → | ||
| 15–15 | 0.09 | 21% | 19 Aug → | ||
| 13–9 | 0.02 | 18% | 18 Aug → | ||
| 6–0 | 0.16 | 67% | 18 Aug → | ||
| 13–9 | 0.01 | 34% | 18 Aug → | ||
| 13–4 | 0.06 | 26% | 18 Aug → | ||
| 2–13 | -0.02 | 33% | 18 Aug → | ||
| 16–14 | 0.06 | 22% | 18 Aug → | ||
| 13–7 | 0.11 | 35% | 12 Aug → | ||
| 13–5 | 0.08 | 13% | 12 Aug → | ||
| 0–3 | -0.12 | 0% | 12 Aug → | ||
| 9–13 | 0.00 | 20% | 10 Aug → | ||
| 13–4 | 0.02 | 28% | 10 Aug → | ||
| 8–13 | 0.06 | 31% | 9 Aug → | ||
| 11–13 | 0.12 | 29% | 9 Aug → | ||
| 13–16 | 0.11 | 32% | 9 Aug → | ||
| 13–16 | -0.03 | 23% | 9 Aug → | ||
| 16–14 | 0.03 | 23% | 8 Aug → | ||
| 16–14 | 0.10 | 35% | 8 Aug → | ||
| 13–8 | -0.01 | 15% | 8 Aug → | ||
| 10–13 | -0.00 | 26% | 8 Aug → | ||
| 13–10 | 0.08 | 26% | 8 Aug → | ||
| 13–5 | 0.21 | 31% | 6 Aug → | ||
| 9–13 | 0.00 | 25% | 6 Aug → | ||
| 9–13 | 0.04 | 28% | 3 Aug → | ||
| 11–13 | 0.01 | 24% | 3 Aug → | ||
| 13–5 | 0.15 | 28% | 3 Aug → | ||
| 13–8 | 0.08 | 25% | 3 Aug → | ||
| 9–13 | 0.07 | 30% | 3 Aug → | ||
| 1–13 | -0.11 | 100% | 3 Aug → | ||
| 15–15 | -0.00 | 20% | 3 Aug → | ||
| 4–13 | 0.02 | 56% | 2 Aug → | ||
| 13–8 | 0.07 | 26% | 2 Aug → | ||
| 13–11 | 0.04 | 26% | 2 Aug → | ||
| 9–13 | 0.01 | 30% | 2 Aug → | ||
| 15–15 | 0.01 | 26% | 2 Aug → | ||
| 15–15 | 0.06 | 32% | 2 Aug → | ||
| 9–13 | 0.04 | 36% | 2 Aug → | ||
| 13–7 | 0.07 | 28% | 2 Aug → | ||
| 0–13 | -0.00 | 60% | 1 Aug → | ||
| 13–7 | 0.08 | 19% | 1 Aug → | ||
| 13–3 | 0.14 | 28% | 1 Aug → | ||
| 13–1 | 0.13 | 33% | 1 Aug → | ||
| 13–10 | 0.07 | 30% | 1 Aug → | ||
| 10–13 | 0.01 | 31% | 1 Aug → | ||
| 13–4 | 0.13 | 25% | 1 Aug → | ||
| 13–4 | 0.07 | 37% | 31 Jul → | ||
| 6–13 | 0.01 | 23% | 31 Jul → | ||
| 9–13 | -0.08 | 28% | 31 Jul → | ||
| 13–2 | 0.10 | 19% | 31 Jul → | ||
| 13–10 | 0.01 | 19% | 31 Jul → | ||
| 9–13 | 0.08 | 23% | 31 Jul → | ||
| 13–6 | -0.02 | 20% | 31 Jul → | ||
| 9–13 | 0.06 | 22% | 30 Jul → | ||
| 13–10 | 0.11 | 28% | 30 Jul → | ||
| 13–16 | 0.08 | 14% | 30 Jul → | ||
| 8–13 | 0.05 | 15% | 30 Jul → | ||
| 13–3 | 0.17 | 26% | 30 Jul → | ||
| 16–14 | 0.04 | 24% | 30 Jul → |
Match data via Leetify.