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Clubwho

Clubwho — CS2 Stats

AU76561198046005090[U:1:85739362]Steam profile ↗

709Tracked matches37%Win rate2020Tracked since
1,867Hours in CS5Hrs last 2 wks
CSDB Rating5.2 DevelopingHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim69
Positioning54
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateWWLLLWLLLW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim6.9
Aggression6.9
Utility4.7
Positioning5.4
Opening Duels2.7

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

ropz

Plays most like ropz 89% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; 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. 567ms 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

Aim6.9
Positioning5.4
Utility4.7
Mechanics6.8
Opening Duels2.7
Win Impact0.7

Composite 5.2/10 (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

Match rating-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time570ms−10ms
first ⅓ avg 580ms → last ⅓ avg 570ms
Headshot accuracy11.0%−2.6%
first ⅓ avg 13.6% → last ⅓ avg 11.0%

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

0.19Best rating — inferno 13–1
13–0Biggest win — nuke
8Longest win streak
W2Current streak
6–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 60% over 15ancientWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB179–853%-0.00
nukeA159–660%0.00
ancientD122–1017%-0.04
dust2A116–555%-0.02
cacheD93–633%0.02
trainB84–450%-0.02
mirageA74–357%0.01
overpassC73–443%-0.01
anubisD61–517%-0.02
office—43–175%-0.00
vertigo—32–167%0.01
warden—10–10%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

51,206Lifetime kills
1.07K/D · Top 50% of tracked players
2,841Matches
40.0%Match win rate
35.0%Headshot %
17.5%Shot accuracy · Top 25% of tracked players
4,780MVPs
1,058Hours (in match)
2,430Bombs planted
690Bombs defused

Most-used weapons

AK-4712,366
M4A4 / M4A1-S8,626
AWP6,015
P2000 / USP-S2,959
Desert Eagle2,336
Glock-181,661
P901,606
Knife1,522
SSG 081,275
UMP-451,213

Lifetime map wins

8,037dust2
1,578inferno
1,422nuke
602vertigo
576train
169office
116cbble
81lake

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.

11.2%Headshot accuracy
37.5%Accuracy (enemy spotted)
43.1%Spray accuracy
80.4%Counter-strafing
10.8°Preaim
567msReaction time
38.6%T opening success
42.7%CT opening success
0.46Enemies flashed / flash
5.1%Flash assists
11.70HE damage / grenade
6.51Flashes / 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 11.2363% — below the 15% mark we flag

    Aim Training →
  2. 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 0.463 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 38.6147% — below the 40% mark we flag

Spend your practice time on Ancient

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.031%28 Aug →
cache13–60.0517%28 Aug →
nuke9–130.1116%25 Aug →
inferno7–13-0.029%25 Aug →
cache9–130.0313%25 Aug →
nuke13–80.0313%19 Aug →
vertigo5–13-0.0313%19 Aug →
train8–13-0.0218%28 Jul →
ancient7–13-0.018%28 Jul →
inferno13–8-0.0211%26 Jul →
nuke5–13-0.0510%26 Jul →
ancient4–13-0.064%26 Jul →
cache6–13-0.0418%24 Jul →
anubis13–90.035%24 Jul →
nuke5–130.0116%21 Jul →
train0–13-0.057%21 Jul →
mirage11–13-0.0316%21 Jul →
overpass12–12-0.026%24 Jun →
train12–12-0.0412%24 Jun →
cache6–130.018%24 Jun →
ancient7–13-0.0721%24 Jun →
dust213–50.0811%24 Jun →
overpass13–9-0.037%19 Jun →
nuke13–10.0111%19 Jun →
inferno12–12-0.008%10 Jun →
anubis11–13-0.019%29 May →
dust213–9-0.0611%19 May →
cache10–130.0111%19 May →
office13–80.0414%19 May →
inferno4–13-0.0513%18 May →
inferno13–8-0.007%15 May →
cache12–120.0315%15 May →
nuke13–7-0.043%12 May →
cache13–30.0730%12 May →
dust213–100.058%9 May →
vertigo13–50.0013%9 May →
cache13–11-0.0115%9 May →
cache9–13-0.014%29 Apr →
nuke13–90.0214%28 Apr →
dust20–13-0.0711%28 Apr →
inferno11–13-0.0312%27 Apr →
nuke0–13-0.080%27 Apr →
nuke5–13-0.079%20 Apr →
dust213–11-0.0113%20 Apr →
ancient12–12-0.0511%7 Apr →
anubis12–12-0.0211%7 Apr →
inferno11–13-0.0212%7 Apr →
inferno13–60.0114%6 Apr →
dust27–13-0.0511%6 Apr →
anubis13–16-0.029%4 Apr →
nuke13–0-0.105%4 Apr →
dust213–90.0119%4 Apr →
dust26–13-0.0317%31 Mar →
ancient9–13-0.0712%31 Mar →
inferno13–10-0.0513%31 Mar →
inferno13–9-0.006%25 Mar →
mirage13–11-0.015%25 Mar →
train13–40.0312%21 Mar →
ancient13–40.0410%21 Mar →
nuke13–30.147%18 Mar →
inferno13–40.0815%18 Mar →
overpass13–60.0715%17 Mar →
nuke11–13-0.0220%17 Mar →
ancient8–13-0.0220%14 Mar →
overpass14–160.027%14 Mar →
dust210–13-0.048%14 Mar →
warden4–130.0114%14 Mar →
dust213–80.019%11 Mar →
nuke13–20.0218%3 Mar →
vertigo13–60.063%27 Feb →
anubis6–13-0.0721%27 Feb →
inferno13–10.1918%27 Feb →
mirage13–80.0315%24 Feb →
train2–13-0.099%24 Feb →
dust27–13-0.0619%24 Feb →
nuke13–70.0124%17 Feb →
train13–40.0120%16 Feb →
anubis11–13-0.038%8 Feb →
mirage13–70.0416%8 Feb →
ancient13–6-0.0117%8 Feb →
inferno13–7-0.0316%7 Feb →
mirage13–70.079%7 Feb →
mirage6–13-0.0113%1 Feb →
overpass8–13-0.0810%10 Jan →
inferno10–13-0.0114%10 Jan →
office13–110.0219%4 Jan →
train11–80.0516%4 Jan →
overpass13–9-0.0211%27 Dec →
inferno9–13-0.0620%22 Dec →
office10–13-0.0525%9 Dec →
office13–11-0.0211%27 Nov →
ancient5–13-0.0312%25 Nov →
overpass14–16-0.0411%21 Nov →
nuke13–30.0214%21 Nov →
ancient4–13-0.0911%21 Nov →
train13–8-0.025%19 Nov →
mirage12–160.0110%4 Nov →
ancient8–13-0.0110%3 Nov →
ancient9–13-0.069%2 Nov →
inferno8–13-0.018%25 Oct →

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 →

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