McClown

McClown — CS2 Stats

CA76561198197419986[U:1:237154258]Steam profile ↗✓ No bans

552Tracked matches48%Win rate2020Tracked since
CSDB Rating3.9 Learning
Premier CS Rating10,511Blue band · top ~52.2% of ranked players (population est.)
CSDB Leaderboard#38682 of 54523 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGMcClownPREMIER10,511 · Blue bandcsdb.gg/stats

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Performance scores

Aim24
Positioning62
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY48475Last 10048%Win rateWLLLWWLLWL

Last 10 vs previous 10: -10pp win rate · -0.06 avg rating

Player DNA

Aim2.4
Aggression9.2
Utility5.1
Positioning6.2
Opening Duels4.4

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

sh1ro

Plays most like sh1ro 81% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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. 676ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 65% 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

Aim2.4
Positioning6.2
Utility5.1
Mechanics3.3
Opening Duels4.4
Win Impact4.4

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time682ms+48ms
first ⅓ avg 634ms → last ⅓ avg 682ms
Headshot accuracy10.8%−2.5%
first ⅓ avg 13.3% → last ⅓ avg 10.8%

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

0.10Best rating — cache 13–5
131Biggest win — inferno
4Longest win streak
86In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 69% over 16nukeWeakest map · 29% over 17
MapGradePlayedRecordWin rateAvg rating
infernoC26111542%-0.03
mirageS1812667%0.01
nukeD1751229%-0.02
dust2S1611569%0.01
cacheD93633%-0.00
anubis42250%-0.05
ancient41325%0.01
vertigo21150%-0.06
poseidon21150%0.01
train110100%-0.03
overpass1010%0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 17). Start with the 6 essential Nuke 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.

11.3%Headshot accuracy
32.4%Accuracy (enemy spotted)
37.7%Spray accuracy
64.7%Counter-strafing
14.6°Preaim
676msReaction time
41.4%T opening success
54.1%CT opening success
0.49Enemies flashed / flash
13.5%Flash assists
6.58HE damage / grenade
5.67Flashes / 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 14.5544° — 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 11.339% — below the 15% mark we flag

    Aim Training
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4876 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Nuke

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno9–70.0412%28 Aug
inferno1–9-0.146%28 Aug
inferno1–9-0.1810%28 Aug
nuke5–90.0113%28 Aug
vertigo9–7-0.070%15 Aug
inferno9–7-0.0717%15 Aug
anubis0–13-0.1014%14 Aug
inferno2–9-0.160%11 Aug
inferno9–60.0312%11 Aug
nuke9–13-0.0511%2 Aug
dust28–13-0.0410%2 Aug
poseidon9–60.1017%2 Aug
mirage3–13-0.0210%27 Jul
nuke2–13-0.0513%27 Jul
nuke13–10-0.028%7 Jul
mirage11–13-0.060%2 Jul
inferno3–13-0.0317%2 Jul
train13–10-0.034%5 Jun
inferno13–10.0512%5 Jun
dust213–7-0.0312%2 Jun
dust27–13-0.0016%1 Jun
mirage13–9-0.036%1 Jun
inferno9–40.0119%1 Jun
cache11–13-0.0014%31 May
mirage8–13-0.027%30 May
poseidon3–9-0.0720%30 May
overpass12–120.0715%29 May
inferno11–13-0.047%28 May
dust213–90.0115%28 May
nuke13–6-0.058%28 May
dust213–70.088%28 May
ancient6–130.0312%28 May
nuke7–13-0.0514%28 May
inferno4–9-0.0512%28 May
inferno2–9-0.114%28 May
dust213–60.0521%28 May
nuke8–130.0216%28 May
mirage13–9-0.028%28 May
dust213–70.0514%27 May
inferno13–100.0013%27 May
vertigo7–13-0.049%27 May
nuke13–70.0321%27 May
dust216–140.0213%26 May
inferno13–70.079%26 May
ancient11–130.0510%25 May
mirage13–5-0.009%25 May
nuke4–13-0.0111%25 May
inferno3–9-0.0527%25 May
inferno8–8-0.056%25 May
inferno8–130.0110%25 May
mirage13–100.0810%25 May
inferno8–8-0.0022%25 May
mirage13–50.0912%22 May
dust213–10-0.0415%22 May
nuke6–130.0013%20 May
anubis13–9-0.095%19 May
inferno8–13-0.0616%14 May
mirage8–130.033%14 May
nuke9–13-0.059%14 May
anubis9–130.0319%14 May
inferno13–5-0.0211%14 May
mirage13–80.0311%13 May
nuke8–13-0.0721%13 May
mirage13–110.036%13 May
nuke6–130.0112%13 May
nuke10–130.1012%12 May
dust213–20.0911%11 May
dust216–120.0511%11 May
dust28–13-0.0221%8 May
cache11–13-0.058%7 May
mirage16–130.054%7 May
inferno5–13-0.059%7 May
cache13–8-0.0312%7 May
mirage13–11-0.0411%7 May
dust210–13-0.0413%7 May
nuke1–9-0.2113%7 May
ancient10–13-0.0622%6 May
ancient13–110.024%6 May
nuke13–90.068%5 May
mirage8–13-0.014%5 May
mirage13–100.0314%5 May
mirage14–16-0.027%4 May
anubis13–7-0.0422%4 May
dust210–13-0.0215%4 May
cache13–7-0.0318%4 May
inferno13–50.0511%4 May
inferno13–5-0.0513%3 May
dust213–30.029%3 May
cache9–130.0115%2 May
inferno6–9-0.0415%2 May
inferno4–13-0.0420%1 May
nuke13–11-0.0212%1 May
inferno16–130.0320%1 May
mirage13–20.0618%30 Apr
cache9–130.0120%30 Apr
dust213–90.0413%30 Apr
cache12–120.0217%30 Apr
cache13–50.1022%30 Apr
mirage13–10.066%30 Apr
cache12–12-0.0411%29 Apr

Match data via Leetify.

Recent teammates

Milestones

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