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Clark — CS2 Stats

76561198990021766[U:1:1029756038]

1,310Tracked matches48%Win rate2020Tracked since
1,902Hours in CS15Hrs last 2 wks
CSDB Rating4.6 DevelopingClutch Specialist
Premier CS Rating16,901Purple band · top ~20.8% of ranked players (population est.)
CSDB Leaderboard#11904 of 20644 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGClarkFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER16,901 · Purple bandcsdb.gg/stats

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Performance scores

Aim51
Positioning50
Utility26

0–100 skill scores via Leetify.

Recent form

STEADY45–51–4Last 10045%Win rateLLLWWTLWWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion well above par.

Aim5.1
Aggression7.1
Utility2.6
Positioning5.0
Opening Duels4.0
Clutch10.0

Strong CT-side openerLimited utility dependenceReliable in 1v1s

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 82% playstyle similarity

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

Where you differ: lower utility contribution; 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 55% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 605ms 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

Aim5.1
Positioning5.0
Utility2.6
Mechanics5.4
Opening Duels4.0
Win Impact4.4

Composite 4.6/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time612ms−15ms
first ⅓ avg 627ms → last ⅓ avg 612ms
Headshot accuracy13.0%+0.2%
first ⅓ avg 12.9% → last ⅓ avg 13.0%

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

0.14Best rating — inferno 13–2
13–2Biggest win — cache
6Longest win streak
L3Current streak
12–9In matches decided by ≤2 rounds
14Overtime games

Map breakdown

infernoBest map · 73% over 11dust2Weakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC219–1243%-0.01
cacheC208–1240%-0.01
nukeC145–936%-0.01
ancientS128–467%0.01
anubisD124–833%-0.03
infernoS118–373%0.02
dust2D82–625%-0.06
vertigo—10–10%-0.01
debris—11–0100%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,761Lifetime kills
0.91K/D
2,203Matches
47.0%Match win rate · Top 50% of tracked players
31.0%Headshot %
6.2%Shot accuracy
4,581MVPs
885Hours (in match)
3,099Bombs planted
516Bombs defused

Most-used weapons

M4A4 / M4A1-S7,097
AWP7,018
AK-475,290
SG 5534,585
Glock-182,184
P2000 / USP-S1,943
MAC-101,291
MP9979
AUG887
FAMAS515

Lifetime map wins

2,550inferno
2,381nuke
1,179dust2
1,144vertigo
403train
148lake
10office
1cbble

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

Faceit stats

Combat

7Matches
29%Win rate
0.72Avg K/D
68.1ADR
35%Headshot %

Clutches & streaks

100%1v1 clutch win
33%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.9813.5
Vertigo10%0.6312.0
Anubis10%0.8113.0
Dust210%0.509.0
Nuke1100%1.0014.0
Inferno10%0.152.0

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.

12.6%Headshot accuracy
33.1%Accuracy (enemy spotted)
33.7%Spray accuracy
74.1%Counter-strafing
10.1°Preaim
605msReaction time
36.4%T opening success
55.4%CT opening success
0.35Enemies flashed / flash
0.5%Flash assists
7.36HE damage / grenade
2.21Flashes / 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 12.5916% — 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 0.3464 — 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 36.3997% — 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.

25% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0522%28 Aug →
mirage13–16-0.0112%23 Aug →
cache7–130.0112%23 Aug →
ancient13–7-0.015%23 Aug →
ancient13–5-0.0116%23 Aug →
nuke15–15-0.0314%23 Aug →
nuke2–130.0311%23 Aug →
cache13–5-0.0111%22 Aug →
nuke13–10-0.0316%22 Aug →
anubis8–130.048%22 Aug →
cache13–80.0210%22 Aug →
vertigo7–9-0.0111%22 Aug →
inferno7–13-0.0316%21 Aug →
inferno13–100.0414%20 Aug →
ancient6–13-0.0116%20 Aug →
mirage5–13-0.0728%18 Aug →
dust214–160.0012%17 Aug →
cache7–13-0.036%16 Aug →
nuke13–6-0.0215%16 Aug →
nuke14–16-0.047%14 Aug →
cache16–12-0.0113%14 Aug →
ancient8–13-0.0411%13 Aug →
nuke2–13-0.0212%12 Aug →
cache10–13-0.0216%9 Aug →
inferno13–11-0.0013%9 Aug →
ancient13–100.0212%9 Aug →
inferno13–100.0014%9 Aug →
mirage13–9-0.0313%9 Aug →
nuke16–140.044%9 Aug →
cache13–20.0219%9 Aug →
mirage9–13-0.069%8 Aug →
mirage13–40.0422%8 Aug →
mirage13–8-0.0312%8 Aug →
cache4–13-0.0724%8 Aug →
inferno13–60.0719%8 Aug →
ancient13–4-0.0015%8 Aug →
inferno13–30.0514%8 Aug →
mirage0–13-0.0612%6 Aug →
nuke10–130.0113%6 Aug →
cache13–8-0.023%6 Aug →
cache10–13-0.0514%6 Aug →
nuke13–10-0.0515%6 Aug →
dust211–13-0.078%6 Aug →
cache15–15-0.0420%6 Aug →
mirage6–13-0.0418%6 Aug →
mirage13–70.0013%6 Aug →
anubis13–11-0.013%6 Aug →
dust213–11-0.028%5 Aug →
ancient6–13-0.0013%4 Aug →
nuke15–15-0.0112%3 Aug →
anubis13–110.005%3 Aug →
debris9–2-0.048%2 Aug →
cache10–130.0410%2 Aug →
mirage1–4-0.076%2 Aug →
anubis11–13-0.0113%2 Aug →
cache9–13-0.015%31 Jul →
mirage8–13-0.0011%29 Jul →
mirage8–130.017%29 Jul →
inferno7–13-0.078%29 Jul →
anubis12–16-0.0514%29 Jul →
ancient13–11-0.0111%28 Jul →
mirage10–130.015%24 Jul →
cache15–150.0213%24 Jul →
dust23–13-0.0612%24 Jul →
anubis7–13-0.0724%23 Jul →
anubis8–130.0013%23 Jul →
mirage13–100.008%23 Jul →
inferno3–13-0.058%23 Jul →
mirage13–110.0618%23 Jul →
cache5–13-0.0513%23 Jul →
nuke13–50.0611%23 Jul →
anubis13–11-0.0211%23 Jul →
ancient13–110.0517%21 Jul →
inferno13–9-0.0510%21 Jul →
cache13–10-0.0414%21 Jul →
ancient10–13-0.046%20 Jul →
anubis11–13-0.108%19 Jul →
mirage13–3-0.008%19 Jul →
dust213–11-0.048%19 Jul →
nuke7–13-0.0610%19 Jul →
inferno4–10.1225%19 Jul →
mirage13–110.0712%19 Jul →
ancient13–50.1212%19 Jul →
ancient13–60.0811%19 Jul →
mirage9–13-0.012%15 Jul →
anubis10–13-0.0813%15 Jul →
cache14–16-0.0911%14 Jul →
mirage5–130.0118%14 Jul →
nuke8–13-0.027%11 Jul →
dust21–13-0.1319%10 Jul →
mirage2–10-0.0226%10 Jul →
anubis13–50.0316%10 Jul →
dust21–2-0.110%10 Jul →
anubis10–13-0.0423%10 Jul →
mirage16–120.0111%10 Jul →
cache16–140.0019%10 Jul →
nuke14–160.006%10 Jul →
cache13–8-0.0216%10 Jul →
inferno13–20.1421%10 Jul →
cache10–130.0513%9 Jul →

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 →

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