DrClampz

DrClampz — CS2 Stats

US76561198956994073[U:1:996728345]Steam profile ↗✓ No bans

1,746Tracked matches44%Win rate2020Tracked since
1,555Hours in CS41Hrs last 2 wks
CSDB Rating4.3 DevelopingSupport
Premier CS Rating16,147Purple band · top ~23.8% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,147 -451 28 Aug – 16 Oct · 25 days played
15,59419,310peak 19,31028 Aug16 Oct
19,889Peak Premier in tracked matches
29Days played since 2026-08-28

Premier CS Rating

  • 3,163 below peak (19,310)
  • -2,097 over 30 days · declining
  • Next: Pink band at 20,000 — 3,853 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 5 among CSDB-tracked players (n=13,934), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate41.9%43.7%44.8%2.9% short
Shot accuracy3.9%12.0%12.4%8.5% short
Kill/death ratio0.821.021.030.21 short
Match win rate41.7%44.7%45.2%3.5% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDrClampzFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER16,147 · Purple bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim46
Positioning50
Utility67

0–100 skill scores via Leetify.

Recent form

COLD51–40–9Last 10051%Win rateLWWTLLTTWL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +1.6pp headshot accuracy · −70ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 575ms

Last 10

  • 3–4–3 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 534ms

Last 20

  • 9–7–4 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 569ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+3.1 against its own average).

Aim4.6
Utility6.7
Positioning5.0
Opening Duels0.9
Clutch1.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 66% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 555ms 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

Aim4.6
Positioning5.0
Utility6.7
Mechanics3.2
Opening Duels1.3
Win Impact3.0

Composite 4.3/10 (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 time552ms−33ms
first ⅓ avg 585ms → last ⅓ avg 552ms
Headshot accuracy14.6%+0.8%
first ⅓ avg 13.8% → 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.

Personal bests

0.13Best match rating · 13–0 · anubis, 10 Sept →
28%Best headshot accuracy · 13–9 · cache, 24 Sept →
406msFastest reaction time · 13–2 · ancient, 14 Oct →
13–0Biggest win · mirage, 25 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

anubisBest map · 73% over 11cacheWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
nukeB2010–1050%-0.01
ancientA169–756%-0.01
cacheC145–936%-0.00
mirageC145–936%-0.01
infernoA127–558%-0.03
anubisS118–373%0.02
dust2C104–640%-0.02
train—11–0100%-0.06
overpass—11–0100%-0.03
vertigo—11–0100%-0.01

Across the last 100 tracked matches.

Lifetime stats

32,871Lifetime kills
0.82K/D
2,210Matches
41.7%Match win rate
41.9%Headshot %
3.9%Shot accuracy
3,058MVPs
914Hours (in match)
2,443Bombs planted
597Bombs defused

Most-used weapons

AK-4710,432
MAC-101,435
MP91,174
AWP1,048
MP7919

Lifetime map wins

3,931nuke
2,489inferno
1,977dust2
1,398vertigo
734train
49office
37lake
31ar_shoots

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

Faceit stats

Combat

89Matches
55%Win rate
0.83Avg K/D
69.2ADR
41%Headshot %

Clutches & streaks

29%1v1 clutch win
12%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke1540%0.8311.7
Ancient1471%0.8212.4
Cache1155%0.8511.4
Anubis1070%0.8014.1
Inferno956%0.7811.6
Overpass580%1.0413.8
Mirage450%0.6411.0
Dust2333%0.7717.0

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.

14.3%Headshot accuracy
30.6%Accuracy (enemy spotted)
32.5%Spray accuracy
64.6%Counter-strafing
10.0°Preaim
555msReaction time
29.1%T opening success
40.1%CT opening success
0.66Enemies flashed / flash
7.6%Flash assists
12.48HE damage / grenade
9.14Flashes / 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 14.2503% — below the 15% mark we flag

    Aim Training →
  2. 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 29.0802% — below the 40% mark we flag

Spend your practice time on Cache

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0711%16 Oct →
nuke13–6-0.0321%16 Oct →
inferno13–3-0.0415%16 Oct →
anubis15–150.0216%16 Oct →
inferno11–13-0.0514%15 Oct →
inferno11–13-0.0421%15 Oct →
cache15–150.0218%15 Oct →
nuke15–15-0.0110%14 Oct →
ancient13–2-0.0410%14 Oct →
dust29–13-0.049%14 Oct →
cache6–13-0.0513%14 Oct →
dust25–13-0.0522%14 Oct →
nuke15–15-0.0216%13 Oct →
nuke13–110.014%13 Oct →
ancient13–50.0613%13 Oct →
mirage16–13-0.0413%13 Oct →
anubis16–120.0311%13 Oct →
nuke13–40.0326%12 Oct →
dust213–60.017%12 Oct →
cache3–13-0.045%12 Oct →
nuke8–13-0.0414%10 Oct →
ancient6–13-0.0218%10 Oct →
inferno13–110.0224%7 Oct →
cache11–13-0.0127%7 Oct →
dust211–130.0113%7 Oct →
mirage15–15-0.0311%7 Oct →
ancient13–60.0518%6 Oct →
mirage7–130.019%6 Oct →
ancient11–130.054%6 Oct →
nuke5–13-0.0618%6 Oct →
inferno13–8-0.0623%5 Oct →
mirage9–130.0420%5 Oct →
inferno13–10-0.0210%3 Oct →
cache13–80.0013%3 Oct →
anubis13–110.025%2 Oct →
dust210–13-0.027%2 Oct →
mirage10–13-0.0724%1 Oct →
nuke13–70.0515%1 Oct →
mirage7–13-0.0311%1 Oct →
ancient11–13-0.0212%1 Oct →
cache4–130.016%1 Oct →
nuke13–90.0115%1 Oct →
mirage16–14-0.0311%1 Oct →
inferno0–2-0.010%1 Oct →
dust20–13-0.080%1 Oct →
mirage4–130.0221%30 Sept →
dust29–13-0.0011%30 Sept →
ancient9–13-0.028%30 Sept →
ancient13–80.038%30 Sept →
ancient10–13-0.0513%30 Sept →
cache8–130.0212%30 Sept →
anubis13–11-0.0012%29 Sept →
nuke13–10-0.0115%29 Sept →
nuke7–13-0.0115%28 Sept →
mirage13–11-0.0015%28 Sept →
cache13–160.0313%28 Sept →
cache13–90.0016%25 Sept →
mirage6–130.0213%25 Sept →
mirage7–13-0.0812%25 Sept →
ancient7–13-0.028%25 Sept →
dust213–5-0.049%25 Sept →
ancient16–12-0.0413%25 Sept →
mirage13–00.058%25 Sept →
mirage13–10.0623%25 Sept →
nuke11–13-0.0315%25 Sept →
ancient13–70.0820%25 Sept →
cache13–90.0628%24 Sept →
cache5–13-0.0113%24 Sept →
dust213–10-0.0017%24 Sept →
nuke11–130.0119%24 Sept →
inferno10–3-0.023%24 Sept →
anubis13–100.0316%23 Sept →
ancient13–11-0.078%22 Sept →
ancient13–10-0.0513%22 Sept →
anubis16–120.0615%22 Sept →
nuke11–130.0115%22 Sept →
anubis13–10-0.0013%22 Sept →
cache13–9-0.008%21 Sept →
nuke13–60.0523%21 Sept →
nuke16–130.0414%18 Sept →
inferno13–8-0.0019%17 Sept →
ancient9–13-0.069%17 Sept →
inferno12–16-0.0513%17 Sept →
inferno13–11-0.0116%16 Sept →
nuke13–11-0.0814%16 Sept →
anubis8–130.018%15 Sept →
ancient13–1-0.0627%15 Sept →
nuke13–40.019%15 Sept →
cache13–7-0.0219%15 Sept →
nuke12–12-0.0610%14 Sept →
cache12–12-0.0610%14 Sept →
nuke12–12-0.0711%11 Sept →
dust213–40.0317%10 Sept →
anubis13–6-0.066%10 Sept →
train13–8-0.0617%10 Sept →
mirage7–13-0.099%10 Sept →
anubis13–00.1320%10 Sept →
overpass13–11-0.0310%9 Sept →
vertigo13–5-0.0118%9 Sept →
anubis12–120.0319%8 Sept →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.