Richard Dawkins

Richard Dawkins — CS2 Stats

MC76561198981598005[U:1:1021332277]Steam profile ↗

1,442Tracked matches50%Win rate2021Tracked since
1,742Hours in CS2Hrs last 2 wks
CSDB Rating3.5 Learning
WingmanGold Nova Master
Ladder ranks via Leetify

Performance scores

Aim34
Positioning46
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY5644Last 10056%Win rateWLLLWLLWWW

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

Player DNA

Aim3.4
Aggression4.6
Utility6.1
Positioning4.6
Opening Duels1.5
Clutch3.2

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 83% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Reaction time. 583ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.4
Positioning4.6
Utility6.1
Mechanics2.7
Opening Duels1.5
Win Impact5.0

Composite 3.5/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time583ms+19ms
first ⅓ avg 564ms → last ⅓ avg 583ms
Headshot accuracy14.6%−0.1%
first ⅓ avg 14.7% → last ⅓ avg 14.6%

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

0.11Best rating — nuke 13–7
130Biggest win — inferno
9Longest win streak
1011In matches decided by ≤2 rounds
16Overtime games

Map breakdown

trainBest map · 71% over 14dust2Weakest map · 42% over 19
MapGradePlayedRecordWin rateAvg rating
infernoA2113862%-0.02
mirageA2011955%-0.01
dust2C1981142%-0.02
nukeA148657%0.00
trainS1410471%-0.01
ancientA74357%-0.01
overpass21150%-0.03
anubis21150%-0.01
vertigo1010%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,735Lifetime kills
0.69K/D
2,466Matches
42.5%Match win rate
38.2%Headshot %
10.5%Shot accuracy
3,690MVPs
774Hours (in match)
3,007Bombs planted
455Bombs defused

Most-used weapons

Lifetime map wins

5,272vertigo
1,894inferno
1,691nuke
1,677dust2
850train
362lake
228office
16ar_shoots

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

694Matches
51%Win rate
0.88Avg K/D
70.9ADR
43%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage13547%0.8613.1
Dust210241%0.7812.7
Vertigo9261%0.9314.7
Nuke9157%1.0314.1
Anubis7049%0.8813.9
Inferno6144%0.8113.9
Ancient4760%0.9014.0
Train3266%0.9013.1

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.

14.1%Headshot accuracy
29.6%Accuracy (enemy spotted)
35.0%Spray accuracy
62.0%Counter-strafing
12.0°Preaim
583msReaction time
41.6%T opening success
30.6%CT opening success
0.68Enemies flashed / flash
10.4%Flash assists
8.57HE damage / grenade
6.71Flashes / 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. 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 14.0536% — below the 15% mark we flag

    Aim Training
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 30.6339% — below the 40% mark we flag

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.

42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–8-0.047%24 Aug
overpass10–13-0.0815%2 Feb
nuke10–13-0.0319%16 Jan
nuke11–13-0.0213%12 Jan
anubis13–110.0125%11 Jan
ancient13–16-0.009%11 Jan
anubis9–13-0.0213%11 Jan
train16–140.0213%9 Jan
ancient13–9-0.0415%9 Jan
mirage13–90.1017%9 Jan
ancient13–110.0217%8 Jan
inferno13–6-0.0012%8 Jan
mirage10–13-0.0312%8 Jan
mirage19–16-0.017%7 Jan
nuke3–13-0.0511%7 Jan
dust211–13-0.0412%7 Jan
mirage13–90.0522%7 Jan
dust28–130.0423%6 Jan
mirage9–13-0.0511%6 Jan
mirage17–19-0.0116%6 Jan
nuke13–90.0317%6 Jan
train13–6-0.0214%6 Jan
inferno3–13-0.0820%6 Jan
inferno10–13-0.0313%5 Jan
inferno16–120.028%5 Jan
inferno6–13-0.0310%5 Jan
ancient16–12-0.0513%5 Jan
mirage11–13-0.0216%5 Jan
inferno13–9-0.0016%4 Jan
mirage13–11-0.0214%4 Jan
inferno13–100.0427%4 Jan
dust213–60.0114%4 Jan
dust213–10-0.0113%4 Jan
mirage13–100.0312%4 Jan
nuke13–70.1115%4 Jan
mirage16–120.0423%3 Jan
inferno19–150.0313%3 Jan
dust27–13-0.0612%2 Jan
mirage11–13-0.0520%2 Jan
dust24–130.0313%2 Jan
train13–2-0.0713%1 Jan
mirage13–90.0226%31 Dec
train9–13-0.0216%31 Dec
mirage13–8-0.049%30 Dec
dust213–10-0.055%29 Dec
dust213–11-0.0329%29 Dec
inferno6–13-0.0118%29 Dec
inferno13–5-0.0220%25 Dec
vertigo10–13-0.0717%25 Dec
train11–13-0.0617%23 Dec
mirage13–7-0.078%22 Dec
dust210–13-0.038%22 Dec
mirage11–13-0.0314%22 Dec
train13–2-0.0511%22 Dec
mirage13–50.0115%22 Dec
mirage13–4-0.0117%22 Dec
mirage13–16-0.0512%20 Dec
dust23–13-0.074%20 Dec
inferno13–5-0.0729%20 Dec
inferno16–14-0.0316%20 Dec
dust213–50.0123%20 Dec
dust210–13-0.0616%19 Dec
dust213–9-0.0512%19 Dec
mirage11–13-0.0115%19 Dec
nuke5–13-0.0916%18 Dec
inferno10–13-0.0318%17 Dec
inferno12–16-0.0119%17 Dec
dust26–13-0.1115%17 Dec
inferno13–00.0140%16 Dec
inferno2–13-0.084%16 Dec
train8–13-0.037%16 Dec
train13–30.0616%16 Dec
nuke13–7-0.0310%16 Dec
train13–11-0.055%15 Dec
train13–8-0.0118%15 Dec
inferno6–13-0.0412%15 Dec
train13–70.0710%14 Dec
nuke13–8-0.0110%14 Dec
train13–10-0.0120%14 Dec
inferno16–14-0.0515%14 Dec
mirage17–19-0.0513%13 Dec
dust213–10.059%13 Dec
nuke13–90.0115%13 Dec
dust28–13-0.0219%13 Dec
dust213–40.0920%13 Dec
inferno13–90.0212%13 Dec
nuke13–110.0113%13 Dec
dust210–13-0.0314%12 Dec
ancient7–13-0.0415%12 Dec
train13–5-0.0110%12 Dec
overpass13–50.0219%12 Dec
inferno16–14-0.0316%12 Dec
dust214–16-0.0115%11 Dec
ancient16–130.0213%11 Dec
train9–130.0115%11 Dec
nuke4–130.0523%11 Dec
nuke13–80.028%10 Dec
nuke4–13-0.0217%10 Dec
nuke13–100.0314%10 Dec
ancient11–130.0121%10 Dec

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →