qwefkqwjfkjhe — CS2 Stats
76561198044432947[U:1:84167219]
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: -40pp win rate · -0.00 avg rating
Player DNA
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 NiKo 71% playstyle similarity
Most alike: utility contribution, opening-duel success.
Where you differ: lower aim profile; lower opening-fight frequency.
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
T-side openings. Opening success drops from 33% on CT to 0% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 585ms 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 4.8/10 (Developing), 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 |
|---|---|---|---|---|---|
| C | 45 | 19–26 | 42% | -0.03 | |
| C | 36 | 14–22 | 39% | -0.03 | |
| S | 7 | 6–1 | 86% | -0.01 | |
| D | 6 | 2–4 | 33% | -0.03 | |
| — | 2 | 0–2 | 0% | -0.02 | |
| — | 2 | 0–2 | 0% | -0.01 | |
| — | 2 | 1–1 | 50% | -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.
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.
- Best CS2 CrosshairAim Training →
Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.
Headshot accuracy 14.7791% — below the 15% mark we flag
- 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 0.4455 — 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 0% — 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.
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 | |
|---|---|---|---|---|---|
| 2–13 | -0.12 | 6% | 24 Apr → | ||
| 7–13 | 0.01 | 26% | 9 Dec → | ||
| 2–13 | -0.10 | 21% | 28 Nov → | ||
| 13–11 | -0.05 | 9% | 28 Nov → | ||
| 4–13 | -0.10 | 8% | 28 Nov → | ||
| 13–7 | 0.03 | 17% | 26 Nov → | ||
| 10–13 | -0.01 | 14% | 26 Nov → | ||
| 5–13 | -0.05 | 25% | 26 Nov → | ||
| 13–10 | -0.04 | 16% | 25 Nov → | ||
| 4–13 | -0.09 | 15% | 25 Nov → | ||
| 16–14 | -0.06 | 19% | 25 Nov → | ||
| 13–9 | -0.03 | 26% | 25 Nov → | ||
| 13–8 | -0.08 | 11% | 25 Nov → | ||
| 13–4 | 0.04 | 23% | 25 Nov → | ||
| 13–6 | -0.02 | 11% | 25 Nov → | ||
| 2–13 | -0.10 | 16% | 25 Nov → | ||
| 10–13 | -0.08 | 9% | 25 Nov → | ||
| 13–11 | -0.07 | 17% | 19 Nov → | ||
| 13–8 | -0.00 | 13% | 19 Nov → | ||
| 9–13 | -0.05 | 9% | 19 Nov → | ||
| 5–13 | -0.10 | 11% | 18 Nov → | ||
| 16–12 | -0.02 | 15% | 18 Nov → | ||
| 10–13 | -0.02 | 14% | 18 Nov → | ||
| 13–10 | -0.03 | 5% | 18 Nov → | ||
| 9–13 | 0.01 | 22% | 18 Nov → | ||
| 13–10 | -0.03 | 8% | 18 Nov → | ||
| 13–6 | 0.11 | 13% | 18 Nov → | ||
| 13–5 | -0.01 | 15% | 17 Nov → | ||
| 10–13 | -0.02 | 11% | 17 Nov → | ||
| 15–15 | -0.02 | 19% | 17 Nov → | ||
| 10–13 | -0.08 | 2% | 15 Nov → | ||
| 13–3 | 0.13 | 16% | 15 Nov → | ||
| 13–7 | -0.03 | 10% | 15 Nov → | ||
| 5–13 | -0.04 | 15% | 15 Nov → | ||
| 13–11 | -0.02 | 17% | 13 Nov → | ||
| 13–2 | 0.09 | 17% | 13 Nov → | ||
| 13–10 | 0.00 | 18% | 13 Nov → | ||
| 15–15 | 0.01 | 12% | 12 Nov → | ||
| 9–13 | -0.02 | 14% | 12 Nov → | ||
| 4–13 | -0.04 | 20% | 11 Nov → | ||
| 15–15 | -0.04 | 9% | 11 Nov → | ||
| 8–13 | -0.03 | 9% | 11 Nov → | ||
| 13–6 | 0.08 | 14% | 11 Nov → | ||
| 13–11 | 0.09 | 12% | 11 Nov → | ||
| 11–13 | 0.02 | 19% | 11 Nov → | ||
| 16–6 | 0.02 | 11% | 28 Jul → | ||
| 8–16 | -0.06 | 21% | 12 Jul → | ||
| 2–16 | -0.09 | 9% | 12 Jul → | ||
| 12–16 | -0.06 | 13% | 16 Jun → | ||
| 16–11 | -0.03 | 12% | 9 Jun → | ||
| 2–4 | -0.10 | 0% | 9 Jun → | ||
| 14–16 | 0.02 | 16% | 1 Jun → | ||
| 5–16 | -0.05 | 22% | 1 Jun → | ||
| 16–13 | -0.01 | 14% | 27 May → | ||
| 16–10 | -0.03 | 9% | 16 May → | ||
| 16–7 | 0.02 | 13% | 14 May → | ||
| 12–16 | -0.04 | 10% | 14 May → | ||
| 16–4 | 0.03 | 18% | 14 May → | ||
| 15–15 | -0.06 | 10% | 13 May → | ||
| 15–15 | 0.05 | 11% | 13 May → | ||
| 15–15 | -0.07 | 17% | 11 May → | ||
| 16–9 | 0.01 | 24% | 11 May → | ||
| 16–14 | -0.03 | 14% | 11 May → | ||
| 11–16 | -0.05 | 11% | 10 May → | ||
| 7–16 | -0.04 | 16% | 10 May → | ||
| 16–4 | 0.00 | 17% | 7 May → | ||
| 16–2 | 0.05 | 5% | 6 May → | ||
| 7–16 | -0.08 | 19% | 6 May → | ||
| 13–16 | -0.08 | 9% | 6 May → | ||
| 2–16 | -0.06 | 14% | 30 Apr → | ||
| 15–15 | -0.04 | 11% | 30 Apr → | ||
| 11–16 | -0.01 | 9% | 30 Apr → | ||
| 8–16 | -0.04 | 15% | 29 Apr → | ||
| 13–4 | 0.07 | 14% | 29 Apr → | ||
| 14–16 | -0.06 | 10% | 29 Apr → | ||
| 7–16 | -0.07 | 19% | 26 Apr → | ||
| 11–16 | 0.01 | 13% | 26 Apr → | ||
| 3–16 | -0.05 | 13% | 22 Apr → | ||
| 16–14 | -0.01 | 13% | 22 Apr → | ||
| 14–16 | -0.04 | 11% | 22 Apr → | ||
| 14–16 | -0.04 | 12% | 21 Apr → | ||
| 16–1 | 0.01 | 9% | 21 Apr → | ||
| 5–16 | -0.07 | 11% | 21 Apr → | ||
| 10–16 | -0.06 | 16% | 21 Apr → | ||
| 5–16 | -0.06 | 34% | 21 Apr → | ||
| 5–16 | -0.09 | 7% | 21 Apr → | ||
| 7–16 | -0.11 | 17% | 17 Apr → | ||
| 10–16 | -0.04 | 14% | 17 Apr → | ||
| 15–15 | -0.03 | 14% | 15 Apr → | ||
| 16–13 | -0.00 | 14% | 13 Apr → | ||
| 16–11 | -0.05 | 7% | 13 Apr → | ||
| 16–3 | 0.04 | 6% | 1 Apr → | ||
| 12–16 | -0.05 | 8% | 1 Apr → | ||
| 9–16 | -0.04 | 8% | 1 Apr → | ||
| 16–13 | -0.01 | 14% | 31 Mar → | ||
| 12–16 | -0.01 | 16% | 28 Mar → | ||
| 14–16 | -0.05 | 10% | 28 Mar → | ||
| 16–2 | 0.05 | 14% | 26 Mar → | ||
| 16–9 | -0.07 | 9% | 26 Mar → | ||
| 16–11 | -0.03 | 13% | 26 Mar → |
Match data via Leetify.