Cum Sock Colony — CS2 Stats

76561198854364034[U:1:894098306]✓ No bans

226Tracked matches57%Win rate2021Tracked since
454Hours in CS20Hrs last 2 wks
CSDB Rating5.3 DevelopingPassive Rifler
Premier CS Rating19,230Purple band · top ~11.6% of ranked players (population est.)
CSDB Leaderboard#13042 of 28428 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=2,789), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate46.8%44.1%47.2%meets
Shot accuracy14.2%11.4%12.7%above
Kill/death ratio0.971.031.090.11 short
Match win rate42.1%45.2%46.6%4.5% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGCum Sock ColonyPREMIER19,230 · Purple bandcsdb.gg/stats

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Performance scores

Aim67
Positioning46
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY41527Last 10041%Win rateWLWLWWWLLW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim6.7
Aggression2.3
Utility4.8
Positioning4.6
Opening Duels0.0

Strong 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 80% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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 44% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.7
Positioning4.6
Utility4.8
Mechanics5.1
Opening Duels1.7
Win Impact7.2

Composite 5.3/10 (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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time529ms−76ms
first ⅓ avg 604ms → last ⅓ avg 529ms
Headshot accuracy15.1%−0.3%
first ⅓ avg 15.4% → last ⅓ avg 15.1%

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 — cache 13–2
131Biggest win — mirage
4Longest win streak
77In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 50% over 6ancientWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
mirageC26111542%-0.01
cacheC25111444%-0.00
dust2C146843%-0.01
ancientD1441029%0.00
anubisD72529%-0.02
infernoB63350%0.04
train32167%0.02
overpass31233%0.01
vertigo1010%0.05
nuke110100%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

11,958Lifetime kills
0.97K/D
558Matches
42.1%Match win rate
46.8%Headshot % · Top 50% of Purple band
14.2%Shot accuracy · Top 50% of Purple band
1,254MVPs
214Hours (in match)
739Bombs planted
106Bombs defused

Most-used weapons

Lifetime map wins

766inferno
690dust2
204train
180nuke
100vertigo
29cbble
25lake
24office

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.

15.1%Headshot accuracy
33.0%Accuracy (enemy spotted)
36.8%Spray accuracy
73.0%Counter-strafing
9.1°Preaim
520msReaction time
15.7%T opening success
43.9%CT opening success
0.62Enemies flashed / flash
4.1%Flash assists
4.93HE damage / grenade
14.44Flashes / 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 15.7374% — 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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–8-0.0217%28 Aug
mirage10–13-0.0315%24 Aug
anubis13–10-0.0423%24 Aug
cache2–13-0.0017%24 Aug
mirage13–110.0215%20 Aug
cache13–11-0.0314%20 Aug
train13–110.0119%18 Aug
anubis10–130.0414%17 Aug
dust211–13-0.0018%17 Aug
mirage13–3-0.0118%17 Aug
ancient16–140.0614%16 Aug
mirage13–10.0413%16 Aug
dust213–30.0110%16 Aug
cache13–16-0.0414%16 Aug
anubis13–16-0.0212%16 Aug
dust22–13-0.0520%13 Aug
cache13–20.1214%13 Aug
train13–80.0216%13 Aug
vertigo3–130.0515%13 Aug
mirage13–90.0416%13 Aug
cache13–90.0416%13 Aug
dust29–130.0013%13 Aug
cache16–14-0.0014%12 Aug
ancient5–13-0.0119%12 Aug
anubis5–13-0.0712%12 Aug
cache13–90.0222%12 Aug
inferno13–100.0415%9 Aug
cache5–13-0.057%9 Aug
cache8–13-0.017%7 Aug
mirage16–13-0.0613%7 Aug
ancient12–12-0.0013%7 Aug
cache13–9-0.0413%7 Aug
cache9–130.0021%5 Aug
cache14–16-0.0115%4 Aug
nuke13–5-0.0415%2 Aug
inferno13–80.0626%2 Aug
mirage2–13-0.0618%2 Aug
mirage4–130.0417%30 Jul
ancient6–13-0.0413%28 Jul
dust216–13-0.0326%28 Jul
anubis11–13-0.0221%28 Jul
cache2–13-0.0324%28 Jul
ancient9–13-0.0326%28 Jul
ancient3–13-0.0233%28 Jul
mirage6–13-0.0522%27 Jul
anubis1–13-0.0412%27 Jul
cache16–130.0115%27 Jul
cache13–9-0.0021%24 Jul
anubis13–8-0.028%24 Jul
ancient9–13-0.0014%24 Jul
dust213–11-0.0117%21 Jul
cache4–130.0015%21 Jul
cache6–13-0.0831%21 Jul
mirage2–13-0.1012%21 Jul
cache13–11-0.0321%21 Jul
ancient11–13-0.1011%21 Jul
dust211–13-0.0413%21 Jul
mirage13–90.0217%21 Jul
overpass12–12-0.0422%21 Jul
cache7–13-0.0621%21 Jul
mirage6–13-0.0523%20 Jul
mirage13–7-0.0421%20 Jul
mirage13–10.0219%20 Jul
ancient12–12-0.0024%18 Jul
ancient13–30.0715%18 Jul
mirage13–30.0322%18 Jul
cache13–10.0324%18 Jul
cache12–120.0421%13 Jul
mirage7–130.0513%10 Jul
ancient10–13-0.0013%10 Jul
dust22–13-0.0219%8 Jul
mirage8–130.0322%8 Jul
cache12–12-0.0411%5 Jul
cache10–13-0.018%5 Jul
mirage9–13-0.049%5 Jul
cache11–130.0414%5 Jul
dust211–13-0.0122%5 Jul
dust25–00.0313%29 Jun
mirage12–12-0.0016%29 Jun
overpass8–130.0114%29 Jun
mirage6–13-0.0315%28 Jun
inferno13–80.1213%27 Jun
mirage1–13-0.0613%26 Jun
mirage9–130.0122%25 Jun
inferno9–130.0325%25 Jun
inferno10–130.0714%25 Jun
overpass13–70.0515%24 Jun
dust28–13-0.0518%24 Jun
mirage10–13-0.0110%24 Jun
mirage13–4-0.0321%24 Jun
dust213–90.0015%24 Jun
inferno1–13-0.0716%24 Jun
mirage6–13-0.076%23 Jun
ancient9–130.0117%23 Jun
ancient13–50.037%23 Jun
train4–130.0211%23 Jun
dust213–60.0017%21 Jun
ancient13–100.0516%18 Jun
cache13–30.0215%17 Jun
dust212–120.0123%17 Jun

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 →