Lightclaw

Lightclaw — CS2 Stats

AU76561198141454059[U:1:181188331]Steam profile ↗✓ No bans

240Tracked matches52%Win rate2024Tracked since
216Hours in CS
CSDB Rating3.4 Learning
Ladder ranks via Leetify

Performance scores

Aim20
Positioning36
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY375211Last 10037%Win rateWWLTLWWLLW

Last 10 vs previous 10: +10pp win rate · -0.00 avg rating

Player DNA

Aim2.0
Aggression2.7
Utility4.1
Positioning3.6
Opening Duels0.0

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

NiKo

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

Aim2.0
Positioning3.6
Utility4.1
Mechanics5.8
Opening Duels0.3
Win Impact5.6

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

Match rating-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time788ms+48ms
first ⅓ avg 740ms → last ⅓ avg 788ms
Headshot accuracy15.2%+0.2%
first ⅓ avg 15.0% → last ⅓ avg 15.2%

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

0.06Best rating — nuke 13–0
130Biggest win — nuke
5Longest win streak
W2Current streak
67In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 52% over 23dust2Weakest map · 7% over 15
MapGradePlayedRecordWin rateAvg rating
nukeC30131743%-0.05
mirageB23121152%-0.05
infernoC1761135%-0.04
dust2D151147%-0.06
ancientB63350%-0.03
trainD51420%-0.07
cache41325%-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

6,638Lifetime kills
0.58K/D
630Matches
32.4%Match win rate
36.6%Headshot %
0.0%Shot accuracy
742MVPs
216Hours (in match)
780Bombs planted
121Bombs defused

Most-used weapons

Lifetime map wins

1,368dust2
1,077nuke
702inferno
382train
34vertigo
6office

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.

14.9%Headshot accuracy
30.4%Accuracy (enemy spotted)
35.0%Spray accuracy
76.3%Counter-strafing
15.5°Preaim
790msReaction time
16.8%T opening success
32.6%CT opening success
0.50Enemies flashed / flash
5.4%Flash assists
8.53HE damage / grenade
4.22Flashes / match

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.

  1. Advanced Mechanics

    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

    Aim Training
  2. Best CS2 Crosshair

    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

    Aim Training
  3. Best CS2 Settings

    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

    Aim Training
Spend your practice time on Dust 2

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.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–8-0.0321%9 Jul
mirage13–5-0.0324%9 Jul
inferno11–13-0.0320%7 Jul
train12–12-0.166%7 Jul
nuke3–13-0.128%7 Jul
mirage13–4-0.0813%6 Jul
mirage13–3-0.029%6 Jul
nuke11–13-0.1126%5 Jul
mirage7–13-0.1218%29 Jun
nuke8–20.0214%28 Jun
inferno3–13-0.0518%28 Jun
nuke4–1-0.1440%27 Jun
mirage13–4-0.0521%26 Jun
nuke15–15-0.0524%26 Jun
inferno13–9-0.0514%26 Jun
nuke13–11-0.0611%24 Jun
dust20–13-0.0920%24 Jun
nuke11–13-0.036%24 Jun
nuke7–13-0.0717%24 Jun
mirage14–16-0.0313%23 Jun
train13–7-0.0635%22 Jun
nuke13–90.0012%22 Jun
mirage13–2-0.015%22 Jun
nuke16–14-0.029%22 Jun
mirage13–6-0.069%21 Jun
dust212–12-0.069%21 Jun
mirage9–13-0.0512%21 Jun
dust29–13-0.0518%20 Jun
nuke9–13-0.076%20 Jun
nuke7–13-0.099%19 Jun
nuke13–00.0614%18 Jun
inferno8–8-0.024%17 Jun
inferno13–90.0217%17 Jun
mirage0–13-0.0850%17 Jun
nuke13–11-0.0411%16 Jun
mirage13–6-0.0511%16 Jun
ancient1–13-0.0918%16 Jun
dust23–13-0.0620%16 Jun
mirage13–11-0.047%16 Jun
nuke4–13-0.0512%15 Jun
train12–12-0.1015%15 Jun
inferno13–7-0.003%14 Jun
nuke11–13-0.092%13 Jun
inferno8–13-0.0717%13 Jun
inferno2–13-0.097%10 Jun
mirage2–13-0.0410%10 Jun
cache3–13-0.0632%4 Jun
nuke12–12-0.1019%17 May
mirage10–13-0.0421%8 May
inferno12–12-0.0514%8 May
cache7–13-0.0910%30 Apr
cache13–6-0.089%29 Apr
cache7–13-0.084%29 Apr
mirage13–8-0.0310%27 Apr
dust25–13-0.088%26 Apr
dust26–13-0.116%25 Apr
inferno13–60.0314%25 Apr
nuke13–9-0.0812%24 Apr
nuke13–5-0.090%24 Apr
dust21–13-0.106%17 Apr
ancient8–130.0015%17 Apr
nuke3–13-0.066%21 Feb
nuke4–13-0.0411%19 Feb
nuke13–9-0.0716%19 Feb
mirage4–13-0.0531%19 Feb
inferno11–13-0.0413%13 Feb
mirage12–12-0.0812%30 Jan
mirage8–13-0.0815%18 Jan
mirage16–12-0.0212%23 Dec
mirage0–13-0.0227%23 Dec
inferno9–13-0.1012%12 Dec
dust212–12-0.106%3 Dec
dust27–13-0.0217%3 Dec
nuke9–130.0322%26 Oct
dust23–13-0.1317%26 Oct
dust212–12-0.0312%25 Oct
mirage13–4-0.0928%22 Oct
ancient10–13-0.048%17 Oct
inferno13–4-0.0414%17 Oct
nuke7–13-0.087%17 Oct
train3–13-0.0514%12 Oct
inferno5–13-0.0417%12 Oct
nuke11–13-0.0113%10 Oct
nuke7–13-0.049%10 Oct
mirage7–13-0.0810%10 Oct
inferno13–6-0.007%9 Oct
nuke13–110.0113%8 Oct
inferno12–12-0.0114%8 Oct
ancient13–50.039%7 Oct
nuke9–13-0.069%7 Oct
dust213–90.0425%6 Oct
dust20–3-0.0850%6 Oct
nuke13–7-0.0414%6 Oct
dust213–16-0.0714%5 Oct
dust23–10-0.0311%5 Oct
inferno2–13-0.0722%5 Oct
train6–130.0115%4 Oct
ancient13–10-0.0210%4 Oct
nuke13–11-0.023%3 Oct
ancient13–7-0.0620%3 Oct

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →