clam

clam — CS2 Stats

76561198141489958[U:1:181224230]Steam profile ↗✓ No bans

165Tracked matches63%Win rate2020Tracked since
CSDB Rating5.8 SolidPassive Rifler
Premier CS Rating8,011Light Blue band · top ~64.4% of ranked players (population est.)
CSDB Leaderboard#19596 of 26087 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGclamFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER8,011 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim69
Positioning45
Utility67

0–100 skill scores via Leetify.

Recent form

STEADY54388Last 10054%Win rateTLLTWWLWWW

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

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.9
Aggression0.9
Utility6.7
Positioning4.5
Opening Duels0.0

Excellent counter-strafingStrong CT-side opener

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 79% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-fight frequency.

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

Strengths

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

T-side openings. Opening success drops from 49% on CT to 0% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 628ms 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
Positioning4.5
Utility6.7
Mechanics8.9
Opening Duels2.4
Win Impact9.3

Composite 5.8/10 (Solid), 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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time625ms−22ms
first ⅓ avg 646ms → last ⅓ avg 625ms
Headshot accuracy17.8%+1.8%
first ⅓ avg 16.0% → last ⅓ avg 17.8%

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

0.12Best rating — mirage 16–5
162Biggest win — cache
6Longest win streak
76In matches decided by ≤2 rounds
76Overtime games

Map breakdown

cacheBest map · 91% over 11overpassWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA2314961%0.00
mirageB23111248%0.01
cacheS1110191%0.03
dust2A106460%0.01
overpassD71614%-0.02
trainD72529%-0.01
anubisS64267%-0.01
nukeC52340%0.01
ancient42250%0.00
vertigo42250%0.01

Across the last 100 tracked matches.

Overpass is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Overpass lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5Matches
80%Win rate
0.99Avg K/D
ADR
58%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Vertigo250%1.1516.0
Inferno2100%0.7610.5
Mirage1100%1.1416.0

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.

17.6%Headshot accuracy
35.3%Accuracy (enemy spotted)
37.2%Spray accuracy
90.1%Counter-strafing
11.5°Preaim
628msReaction time
0.0%T opening success
48.8%CT opening success
0.57Enemies flashed / flash
6.5%Flash assists
7.41HE damage / grenade
9.48Flashes / 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

    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 0% — below the 40% mark we flag

Spend your practice time on Overpass

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Overpass callouts & strategyOverpass grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis15–15-0.0517%25 Nov
nuke11–13-0.0113%20 Nov
ancient7–13-0.0116%18 Nov
overpass15–150.0125%18 Nov
inferno13–90.0018%18 Nov
inferno13–6-0.0420%18 Nov
mirage10–130.0120%18 Nov
inferno13–7-0.0114%16 Nov
vertigo13–3-0.0215%16 Nov
inferno13–7-0.0116%15 Nov
vertigo8–130.0323%15 Nov
mirage13–100.0016%15 Nov
inferno16–140.0418%12 Nov
overpass5–130.0032%12 Nov
mirage13–60.0823%12 Nov
nuke13–2-0.0124%12 Nov
anubis13–50.0124%12 Nov
inferno7–16-0.0623%12 Jun
anubis16–14-0.0417%12 Jun
mirage14–16-0.0616%12 Jun
cache16–70.0317%11 Jun
inferno16–12-0.0213%11 Jun
mirage16–80.0514%11 Jun
mirage16–100.0412%10 Jun
cache16–7-0.0315%9 Jun
inferno10–16-0.0015%9 Jun
mirage15–15-0.0311%9 Jun
overpass8–160.0017%8 Jun
mirage6–16-0.0317%8 Jun
cache16–80.0718%7 Jun
mirage11–16-0.0618%7 Jun
mirage13–16-0.0320%7 Jun
ancient10–16-0.0512%6 Jun
inferno16–12-0.0114%6 Jun
inferno16–120.0314%1 Jun
overpass5–9-0.1018%29 May
anubis16–140.0312%28 May
mirage16–14-0.036%28 May
ancient16–50.0124%28 May
inferno16–12-0.0419%28 May
overpass3–16-0.0416%28 May
train15–150.016%27 May
overpass8–8-0.0911%27 May
anubis8–8-0.0110%27 May
inferno4–90.0423%27 May
mirage16–30.026%27 May
inferno5–16-0.0512%27 May
cache16–100.0414%27 May
dust216–50.0510%27 May
ancient16–120.0616%27 May
nuke16–90.0618%27 May
dust216–80.019%26 May
train16–130.0220%26 May
mirage9–160.0213%26 May
cache16–20.0613%26 May
mirage7–40.0123%26 May
train12–16-0.0118%26 May
dust216–80.0515%26 May
inferno16–30.0420%26 May
mirage15–150.0215%25 May
inferno14–16-0.0114%24 May
overpass16–30.0611%24 May
inferno9–60.0523%24 May
anubis16–9-0.0114%23 May
nuke12–160.038%23 May
vertigo12–16-0.0115%23 May
train16–7-0.0212%13 May
mirage16–140.0314%13 May
nuke6–16-0.0019%13 May
cache10–16-0.0513%13 May
dust213–160.0518%13 May
inferno14–16-0.0114%12 May
mirage8–16-0.0218%12 May
vertigo16–130.0317%12 May
dust216–80.038%12 May
cache16–9-0.0012%12 May
mirage14–160.0025%11 May
inferno10–160.0032%11 May
dust212–30.0313%11 May
mirage16–50.1216%8 May
inferno12–160.0113%8 May
cache16–20.0818%8 May
train10–160.0125%8 May
dust215–150.0214%8 May
inferno14–16-0.0316%7 May
train3–16-0.092%7 May
cache16–40.0412%7 May
mirage11–160.0224%7 May
inferno16–120.0513%7 May
inferno16–70.0412%6 May
dust23–9-0.0325%6 May
cache16–20.0920%5 May
inferno16–140.0513%5 May
mirage13–16-0.0117%5 May
mirage16–9-0.0111%5 May
train8–16-0.0210%5 May
dust25–9-0.0619%5 May
mirage9–40.0112%5 May
cache16–14-0.0320%2 May
dust216–110.0116%2 May

Match data via Leetify.

Recent teammates

Milestones

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