Im not good — CS2 Stats
76561198151995567[U:1:191729839]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +0pp win rate · -0.00 avg rating
Player DNA
Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.
Sharp aimerExcellent counter-strafingEffective 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 94% playstyle similarity
Most alike: opening-duel success, positioning profile.
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 87 — the mechanical foundation is a clear strength.
Counter-strafing. 91% of shots taken properly stopped — movement discipline most players never reach.
Areas to improve
Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.
Reaction time. 634ms 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 7.0/10 (Strong), 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 |
|---|---|---|---|---|---|
| B | 25 | 12–13 | 48% | 0.02 | |
| A | 19 | 12–7 | 63% | 0.00 | |
| C | 15 | 6–9 | 40% | 0.04 | |
| A | 12 | 7–5 | 58% | 0.03 | |
| A | 9 | 5–4 | 56% | 0.02 | |
| C | 8 | 3–5 | 38% | 0.03 | |
| A | 8 | 5–3 | 63% | -0.01 | |
| — | 2 | 1–1 | 50% | 0.06 | |
| — | 2 | 2–0 | 100% | 0.07 |
Across the last 100 tracked matches.
Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWWW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 8 | 75% | 1.27 | 19.9 |
| Anubis | 5 | 40% | 0.91 | 13.6 |
| Dust2 | 3 | 100% | 1.65 | 19.0 |
| Cache | 2 | 50% | 1.12 | 21.5 |
| Nuke | 2 | 50% | 1.36 | 13.0 |
| Inferno | 2 | 100% | 1.56 | 18.0 |
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.
- 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 37.3456% — 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.
38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 12–12 | -0.02 | 27% | 27 Aug → | ||
| 13–5 | 0.00 | 20% | 27 Aug → | ||
| 9–13 | 0.05 | 29% | 25 Aug → | ||
| 13–5 | 0.01 | 17% | 25 Aug → | ||
| 9–7 | 0.14 | 42% | 25 Aug → | ||
| 7–13 | 0.06 | 42% | 24 Aug → | ||
| 11–13 | 0.03 | 33% | 23 Aug → | ||
| 5–13 | -0.01 | 44% | 17 Aug → | ||
| 13–10 | 0.05 | 31% | 17 Aug → | ||
| 11–13 | 0.06 | 29% | 17 Aug → | ||
| 13–7 | 0.04 | 35% | 17 Aug → | ||
| 13–8 | 0.12 | 26% | 17 Aug → | ||
| 12–12 | 0.15 | 37% | 17 Aug → | ||
| 0–5 | -0.01 | 13% | 16 Aug → | ||
| 13–8 | 0.04 | 31% | 16 Aug → | ||
| 10–13 | 0.04 | 25% | 16 Aug → | ||
| 4–13 | 0.00 | 42% | 16 Aug → | ||
| 6–13 | -0.06 | 20% | 16 Aug → | ||
| 13–9 | 0.01 | 22% | 16 Aug → | ||
| 12–16 | 0.06 | 42% | 16 Aug → | ||
| 8–13 | -0.05 | 27% | 16 Aug → | ||
| 11–13 | 0.04 | 22% | 13 Aug → | ||
| 8–13 | -0.06 | 28% | 12 Aug → | ||
| 13–5 | 0.10 | 38% | 12 Aug → | ||
| 13–11 | 0.02 | 17% | 10 Aug → | ||
| 12–12 | 0.09 | 28% | 10 Aug → | ||
| 11–1 | 0.03 | 29% | 10 Aug → | ||
| 12–12 | 0.07 | 19% | 9 Aug → | ||
| 13–11 | -0.07 | 20% | 6 Aug → | ||
| 13–7 | 0.11 | 31% | 6 Aug → | ||
| 5–13 | -0.08 | 27% | 6 Aug → | ||
| 8–13 | 0.01 | 26% | 6 Aug → | ||
| 13–9 | 0.03 | 38% | 5 Aug → | ||
| 9–13 | -0.08 | 13% | 3 Aug → | ||
| 13–7 | -0.08 | 22% | 3 Aug → | ||
| 7–13 | -0.00 | 38% | 3 Aug → | ||
| 4–13 | 0.02 | 16% | 2 Aug → | ||
| 12–12 | -0.06 | 31% | 2 Aug → | ||
| 13–5 | 0.12 | 31% | 2 Aug → | ||
| 12–12 | 0.02 | 33% | 2 Aug → | ||
| 13–8 | 0.03 | 35% | 1 Aug → | ||
| 8–13 | -0.00 | 35% | 31 Jul → | ||
| 13–2 | 0.15 | 37% | 31 Jul → | ||
| 13–3 | -0.00 | 17% | 31 Jul → | ||
| 13–9 | 0.01 | 28% | 31 Jul → | ||
| 11–13 | -0.04 | 26% | 30 Jul → | ||
| 13–6 | -0.07 | 24% | 30 Jul → | ||
| 13–8 | -0.05 | 23% | 30 Jul → | ||
| 13–4 | 0.06 | 24% | 30 Jul → | ||
| 13–8 | 0.06 | 38% | 30 Jul → | ||
| 13–6 | 0.04 | 25% | 30 Jul → | ||
| 13–11 | 0.06 | 25% | 30 Jul → | ||
| 13–10 | 0.02 | 28% | 29 Jul → | ||
| 10–13 | 0.00 | 43% | 29 Jul → | ||
| 13–2 | 0.01 | 29% | 29 Jul → | ||
| 10–13 | 0.02 | 33% | 29 Jul → | ||
| 13–4 | -0.01 | 33% | 29 Jul → | ||
| 13–4 | -0.01 | 21% | 29 Jul → | ||
| 16–13 | 0.00 | 33% | 29 Jul → | ||
| 13–7 | -0.02 | 18% | 29 Jul → | ||
| 13–9 | -0.05 | 27% | 29 Jul → | ||
| 13–8 | -0.05 | 27% | 29 Jul → | ||
| 10–13 | -0.02 | 29% | 29 Jul → | ||
| 5–13 | -0.02 | 39% | 29 Jul → | ||
| 11–13 | 0.03 | 24% | 29 Jul → | ||
| 14–16 | 0.03 | 29% | 28 Jul → | ||
| 8–13 | 0.02 | 23% | 28 Jul → | ||
| 13–6 | 0.13 | 50% | 28 Jul → | ||
| 8–13 | -0.01 | 27% | 27 Jul → | ||
| 13–5 | 0.08 | 27% | 27 Jul → | ||
| 13–3 | 0.04 | 39% | 27 Jul → | ||
| 1–8 | -0.07 | 50% | 26 Jul → | ||
| 1–13 | 0.00 | 14% | 26 Jul → | ||
| 14–16 | 0.03 | 24% | 26 Jul → | ||
| 13–1 | 0.01 | 33% | 26 Jul → | ||
| 6–13 | -0.02 | 21% | 26 Jul → | ||
| 13–2 | 0.10 | 17% | 26 Jul → | ||
| 13–2 | 0.11 | 42% | 26 Jul → | ||
| 11–13 | -0.07 | 12% | 26 Jul → | ||
| 9–13 | 0.02 | 35% | 26 Jul → | ||
| 13–9 | -0.00 | 31% | 26 Jul → | ||
| 0–13 | -0.07 | 0% | 26 Jul → | ||
| 12–4 | 0.10 | 20% | 26 Jul → | ||
| 9–13 | 0.01 | 19% | 26 Jul → | ||
| 8–13 | 0.03 | 24% | 26 Jul → | ||
| 13–4 | 0.06 | 26% | 26 Jul → | ||
| 13–1 | 0.15 | 48% | 26 Jul → | ||
| 13–1 | 0.10 | 38% | 26 Jul → | ||
| 13–8 | 0.06 | 24% | 25 Jul → | ||
| 13–10 | 0.03 | 56% | 25 Jul → | ||
| 13–3 | 0.08 | 60% | 25 Jul → | ||
| 11–13 | -0.05 | 33% | 25 Jul → | ||
| 10–13 | -0.03 | 59% | 25 Jul → | ||
| 11–13 | -0.07 | 24% | 24 Jul → | ||
| 4–0 | 0.04 | 40% | 24 Jul → | ||
| 13–5 | 0.04 | 33% | 24 Jul → | ||
| 10–13 | -0.03 | 32% | 23 Jul → | ||
| 13–6 | 0.06 | 42% | 23 Jul → | ||
| 9–5 | 0.06 | 26% | 23 Jul → | ||
| 9–2 | 0.18 | 30% | 23 Jul → |
Match data via Leetify.