cheekyfreak. — CS2 Stats

76561199851720851[U:1:1891455123]

1,134Tracked matches63%Win rate2025Tracked since
504Hours in CS
CSDB Rating6.8 SolidAggressive Rifler
Premier CS Rating19,233Purple band · top ~11.5% of ranked players (population est.)
CSDB Leaderboard#21666 of 50218 tracked
WingmanMaster Guardian I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=5,002), 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 rate47.4%44.2%47.1%meets
Shot accuracy0.0%11.6%12.8%12.8% short
Kill/death ratio0.941.031.080.15 short
Match win rate43.0%45.2%46.6%3.6% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGcheekyfreak.PREMIER19,233 · Purple bandcsdb.gg/stats

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Performance scores

Aim83
Positioning61
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY59365Last 10059%Win rateWWWLLWWLLL

Last 10 vs previous 10: -30pp win rate · -0.04 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.3
Aggression8.5
Utility3.4
Positioning6.1
Opening Duels3.9
Clutch2.2

Limited utility dependence

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: positioning profile, opening-duel success.

Where you differ: lower utility contribution; higher 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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 573ms 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

Aim8.3
Positioning6.1
Utility3.4
Mechanics8.4
Opening Duels3.9
Win Impact9.4

Composite 6.8/10 (Solid), 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 rating0.04+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time567ms+4ms
first ⅓ avg 563ms → last ⅓ avg 567ms
Headshot accuracy17.9%+1.1%
first ⅓ avg 16.8% → last ⅓ avg 17.9%

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

0.32Best rating — inferno 9–1
131Biggest win — mirage
6Longest win streak
W3Current streak
65In matches decided by ≤2 rounds
3Overtime games

Map breakdown

cacheBest map · 73% over 11anubisWeakest map · 44% over 9
MapGradePlayedRecordWin rateAvg rating
mirageS2315865%0.02
dust2B1991047%0.03
nukeS1711665%0.04
cacheS118373%0.04
anubisC94544%0.01
infernoA95456%0.06
ancientA74357%0.04
vertigo21150%0.04
train110100%0.04
debris1010%0.10
poseidon110100%0.14

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (44% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

29,222Lifetime kills
0.94K/D
1,667Matches
43.0%Match win rate
47.4%Headshot % · Top 50% of Purple band
0.0%Shot accuracy
3,499MVPs
504Hours (in match)
919Bombs planted
312Bombs defused

Most-used weapons

Lifetime map wins

2,286dust2
2,146nuke
1,476office
1,103inferno
649vertigo
492train
64italy
15ar_shoots

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

Faceit stats

Combat

83Matches
49%Win rate
1.01Avg K/D
84.6ADR
39%Headshot %

Clutches & streaks

31%1v1 clutch win
25%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust22744%1.0514.8
Mirage2357%1.0215.7
Ancient1050%0.9416.4
Nuke812%0.8614.3
Inferno650%0.9917.8
Overpass4100%1.1015.0
Anubis367%1.1017.0
Cache250%1.0918.0

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.

17.8%Headshot accuracy
37.3%Accuracy (enemy spotted)
37.6%Spray accuracy
87.9%Counter-strafing
8.2°Preaim
573msReaction time
38.4%T opening success
52.6%CT opening success
0.64Enemies flashed / flash
11.3%Flash assists
8.53HE damage / grenade
2.30Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.2958 — below the 4 mark we flag

    Grenade Lineups
  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 38.3631% — below the 40% mark we flag

Spend your practice time on Anubis

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

44% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–6-0.0019%30 Aug
dust213–90.0526%30 Aug
mirage13–6-0.0528%30 Aug
anubis3–13-0.088%30 Aug
anubis7–130.0213%30 Aug
mirage13–100.0314%30 Aug
mirage13–100.0420%30 Aug
dust210–130.0211%30 Aug
mirage11–13-0.0110%30 Aug
cache10–130.0218%30 Aug
ancient13–70.0712%30 Aug
dust213–60.0428%30 Aug
ancient9–130.0117%30 Aug
cache13–110.049%30 Aug
nuke13–9-0.0110%30 Aug
nuke13–100.0114%30 Aug
mirage13–70.0523%30 Aug
cache13–70.089%30 Aug
train13–70.0426%30 Aug
ancient3–130.1126%29 Aug
inferno9–10.3220%29 Aug
inferno9–20.0519%29 Aug
inferno9–20.1717%29 Aug
nuke16–13-0.0115%29 Aug
ancient13–100.0911%29 Aug
mirage13–60.0422%29 Aug
dust29–13-0.0117%29 Aug
dust213–110.0934%29 Aug
mirage13–80.0423%29 Aug
dust213–40.0820%29 Aug
mirage6–13-0.0515%29 Aug
anubis4–13-0.0421%29 Aug
dust211–130.0417%29 Aug
mirage4–130.0720%29 Aug
cache13–3-0.0220%29 Aug
cache13–70.1324%29 Aug
mirage13–80.0819%29 Aug
cache6–130.0821%29 Aug
anubis3–130.0521%29 Aug
nuke5–9-0.0230%28 Aug
nuke9–10.1825%28 Aug
nuke9–10.0417%28 Aug
nuke9–70.0221%28 Aug
nuke9–00.1841%28 Aug
vertigo9–40.0515%28 Aug
debris8–80.1016%28 Aug
nuke9–40.1223%28 Aug
vertigo8–80.0312%28 Aug
nuke8–8-0.0612%28 Aug
poseidon9–60.1422%28 Aug
nuke9–30.2020%28 Aug
inferno8–80.1332%28 Aug
inferno6–9-0.0521%28 Aug
mirage9–130.0219%27 Aug
mirage13–110.0518%27 Aug
anubis13–11-0.008%26 Aug
mirage13–40.0122%26 Aug
cache13–6-0.0218%26 Aug
cache13–8-0.0133%24 Aug
anubis12–120.0120%24 Aug
dust211–00.0250%24 Aug
dust27–130.0925%24 Aug
nuke7–13-0.0437%23 Aug
anubis13–20.0533%23 Aug
mirage13–90.0016%23 Aug
dust29–130.0624%23 Aug
cache13–50.1115%23 Aug
dust28–10.0719%23 Aug
nuke11–13-0.0214%16 Aug
dust26–13-0.0512%16 Aug
mirage10–13-0.0414%14 Aug
cache13–80.0618%14 Aug
mirage13–100.0013%14 Aug
mirage13–30.1217%14 Aug
nuke8–13-0.0313%14 Aug
anubis13–90.0416%14 Aug
ancient13–90.0118%14 Aug
dust27–130.0227%14 Aug
dust28–130.0110%14 Aug
mirage10–130.0626%14 Aug
dust210–130.1224%14 Aug
mirage9–20.0417%14 Aug
inferno13–60.0928%14 Aug
nuke13–70.0522%14 Aug
ancient16–140.0013%14 Aug
inferno13–7-0.0121%14 Aug
mirage13–10.1117%10 Aug
nuke4–13-0.0416%9 Aug
ancient9–13-0.0214%9 Aug
nuke13–100.039%9 Aug
dust213–5-0.0314%9 Aug
dust213–40.0223%9 Aug
cache5–13-0.0614%9 Aug
inferno11–13-0.0616%9 Aug
anubis13–70.009%9 Aug
mirage13–16-0.0612%9 Aug
dust20–13-0.0223%9 Aug
inferno3–13-0.0619%9 Aug
dust213–6-0.019%9 Aug
mirage11–130.0117%9 Aug

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 →