Lightclaw — CS2 Stats
AU76561198141454059[U:1:181188331]Steam profile ↗✓ No bans
Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp 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 68% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower positioning profile; lower aim 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
Areas to improve
T-side openings. Opening success drops from 33% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.
Reaction time. 790ms 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 3.4/10 (Learning), 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 | 30 | 13–17 | 43% | -0.05 | |
| B | 23 | 12–11 | 52% | -0.05 | |
| C | 17 | 6–11 | 35% | -0.04 | |
| D | 15 | 1–14 | 7% | -0.06 | |
| B | 6 | 3–3 | 50% | -0.03 | |
| D | 5 | 1–4 | 20% | -0.07 | |
| — | 4 | 1–3 | 25% | -0.08 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (7% over 15). Start with the 6 essential Dust 2 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.
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 MechanicsAim Training →
Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.
Preaim 15.4548° — above the 12° mark we flag
- 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 14.9321% — below the 15% mark we flag
- Best CS2 SettingsAim Training →
Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.
Reaction time 790.2588ms — above the 700ms mark we flag
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
7% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–8 | -0.03 | 21% | 9 Jul → | ||
| 13–5 | -0.03 | 24% | 9 Jul → | ||
| 11–13 | -0.03 | 20% | 7 Jul → | ||
| 12–12 | -0.16 | 6% | 7 Jul → | ||
| 3–13 | -0.12 | 8% | 7 Jul → | ||
| 13–4 | -0.08 | 13% | 6 Jul → | ||
| 13–3 | -0.02 | 9% | 6 Jul → | ||
| 11–13 | -0.11 | 26% | 5 Jul → | ||
| 7–13 | -0.12 | 18% | 29 Jun → | ||
| 8–2 | 0.02 | 14% | 28 Jun → | ||
| 3–13 | -0.05 | 18% | 28 Jun → | ||
| 4–1 | -0.14 | 40% | 27 Jun → | ||
| 13–4 | -0.05 | 21% | 26 Jun → | ||
| 15–15 | -0.05 | 24% | 26 Jun → | ||
| 13–9 | -0.05 | 14% | 26 Jun → | ||
| 13–11 | -0.06 | 11% | 24 Jun → | ||
| 0–13 | -0.09 | 20% | 24 Jun → | ||
| 11–13 | -0.03 | 6% | 24 Jun → | ||
| 7–13 | -0.07 | 17% | 24 Jun → | ||
| 14–16 | -0.03 | 13% | 23 Jun → | ||
| 13–7 | -0.06 | 35% | 22 Jun → | ||
| 13–9 | 0.00 | 12% | 22 Jun → | ||
| 13–2 | -0.01 | 5% | 22 Jun → | ||
| 16–14 | -0.02 | 9% | 22 Jun → | ||
| 13–6 | -0.06 | 9% | 21 Jun → | ||
| 12–12 | -0.06 | 9% | 21 Jun → | ||
| 9–13 | -0.05 | 12% | 21 Jun → | ||
| 9–13 | -0.05 | 18% | 20 Jun → | ||
| 9–13 | -0.07 | 6% | 20 Jun → | ||
| 7–13 | -0.09 | 9% | 19 Jun → | ||
| 13–0 | 0.06 | 14% | 18 Jun → | ||
| 8–8 | -0.02 | 4% | 17 Jun → | ||
| 13–9 | 0.02 | 17% | 17 Jun → | ||
| 0–13 | -0.08 | 50% | 17 Jun → | ||
| 13–11 | -0.04 | 11% | 16 Jun → | ||
| 13–6 | -0.05 | 11% | 16 Jun → | ||
| 1–13 | -0.09 | 18% | 16 Jun → | ||
| 3–13 | -0.06 | 20% | 16 Jun → | ||
| 13–11 | -0.04 | 7% | 16 Jun → | ||
| 4–13 | -0.05 | 12% | 15 Jun → | ||
| 12–12 | -0.10 | 15% | 15 Jun → | ||
| 13–7 | -0.00 | 3% | 14 Jun → | ||
| 11–13 | -0.09 | 2% | 13 Jun → | ||
| 8–13 | -0.07 | 17% | 13 Jun → | ||
| 2–13 | -0.09 | 7% | 10 Jun → | ||
| 2–13 | -0.04 | 10% | 10 Jun → | ||
| 3–13 | -0.06 | 32% | 4 Jun → | ||
| 12–12 | -0.10 | 19% | 17 May → | ||
| 10–13 | -0.04 | 21% | 8 May → | ||
| 12–12 | -0.05 | 14% | 8 May → | ||
| 7–13 | -0.09 | 10% | 30 Apr → | ||
| 13–6 | -0.08 | 9% | 29 Apr → | ||
| 7–13 | -0.08 | 4% | 29 Apr → | ||
| 13–8 | -0.03 | 10% | 27 Apr → | ||
| 5–13 | -0.08 | 8% | 26 Apr → | ||
| 6–13 | -0.11 | 6% | 25 Apr → | ||
| 13–6 | 0.03 | 14% | 25 Apr → | ||
| 13–9 | -0.08 | 12% | 24 Apr → | ||
| 13–5 | -0.09 | 0% | 24 Apr → | ||
| 1–13 | -0.10 | 6% | 17 Apr → | ||
| 8–13 | 0.00 | 15% | 17 Apr → | ||
| 3–13 | -0.06 | 6% | 21 Feb → | ||
| 4–13 | -0.04 | 11% | 19 Feb → | ||
| 13–9 | -0.07 | 16% | 19 Feb → | ||
| 4–13 | -0.05 | 31% | 19 Feb → | ||
| 11–13 | -0.04 | 13% | 13 Feb → | ||
| 12–12 | -0.08 | 12% | 30 Jan → | ||
| 8–13 | -0.08 | 15% | 18 Jan → | ||
| 16–12 | -0.02 | 12% | 23 Dec → | ||
| 0–13 | -0.02 | 27% | 23 Dec → | ||
| 9–13 | -0.10 | 12% | 12 Dec → | ||
| 12–12 | -0.10 | 6% | 3 Dec → | ||
| 7–13 | -0.02 | 17% | 3 Dec → | ||
| 9–13 | 0.03 | 22% | 26 Oct → | ||
| 3–13 | -0.13 | 17% | 26 Oct → | ||
| 12–12 | -0.03 | 12% | 25 Oct → | ||
| 13–4 | -0.09 | 28% | 22 Oct → | ||
| 10–13 | -0.04 | 8% | 17 Oct → | ||
| 13–4 | -0.04 | 14% | 17 Oct → | ||
| 7–13 | -0.08 | 7% | 17 Oct → | ||
| 3–13 | -0.05 | 14% | 12 Oct → | ||
| 5–13 | -0.04 | 17% | 12 Oct → | ||
| 11–13 | -0.01 | 13% | 10 Oct → | ||
| 7–13 | -0.04 | 9% | 10 Oct → | ||
| 7–13 | -0.08 | 10% | 10 Oct → | ||
| 13–6 | -0.00 | 7% | 9 Oct → | ||
| 13–11 | 0.01 | 13% | 8 Oct → | ||
| 12–12 | -0.01 | 14% | 8 Oct → | ||
| 13–5 | 0.03 | 9% | 7 Oct → | ||
| 9–13 | -0.06 | 9% | 7 Oct → | ||
| 13–9 | 0.04 | 25% | 6 Oct → | ||
| 0–3 | -0.08 | 50% | 6 Oct → | ||
| 13–7 | -0.04 | 14% | 6 Oct → | ||
| 13–16 | -0.07 | 14% | 5 Oct → | ||
| 3–10 | -0.03 | 11% | 5 Oct → | ||
| 2–13 | -0.07 | 22% | 5 Oct → | ||
| 6–13 | 0.01 | 15% | 4 Oct → | ||
| 13–10 | -0.02 | 10% | 4 Oct → | ||
| 13–11 | -0.02 | 3% | 3 Oct → | ||
| 13–7 | -0.06 | 20% | 3 Oct → |
Match data via Leetify.