G.K — CS2 Stats

76561198040879917[U:1:80614189]✓ No bans

886Tracked matches59%Win rate2020Tracked since
1,511Hours in CS
CSDB Rating5.9 SolidHybrid Rifler
Premier CS Rating16,546Purple band · top ~22.2% of ranked players (population est.)
CSDB Leaderboard#29803 of 54644 tracked
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 rate57.7%44.2%47.1%above
Shot accuracy20.2%11.6%12.8%above
Kill/death ratio1.521.031.08above
Match win rate48.7%45.2%46.6%above

Across every metric we can compare, this profile already matches the typical Pink band player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

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CSDB.GGG.KPREMIER16,546 · Purple bandcsdb.gg/stats

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Performance scores

Aim61
Positioning46
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY49474Last 10049%Win rateWLLWWWWLLW

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

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

Aim6.1
Aggression6.8
Utility6.0
Positioning4.6
Opening Duels2.9

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

b1t

Plays most like b1t 88% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 658ms 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

Aim6.1
Positioning4.6
Utility6.0
Mechanics7.5
Opening Duels2.9
Win Impact7.9

Composite 5.9/10 (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 rating0.01+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time663ms−75ms
first ⅓ avg 738ms → last ⅓ avg 663ms
Headshot accuracy21.1%−1.6%
first ⅓ avg 22.7% → last ⅓ avg 21.1%

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 — train 13–2
132Biggest win — mirage
7Longest win streak
29In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 67% over 9trainWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2C31131842%-0.01
mirageB28131546%-0.00
infernoB137654%0.01
ancientS96367%0.01
overpassA95456%-0.01
trainC52340%0.03
anubis31233%-0.01
nuke220100%0.03

Across the last 100 tracked matches.

Lifetime stats

100,853Lifetime kills
1.52K/D · Top 5% of Purple band
3,560Matches
48.7%Match win rate · Top 25% of Purple band
57.7%Headshot % · Top 10% of Purple band
20.2%Shot accuracy · Top 5% of Purple band
7,512MVPs
1,511Hours (in match)
3,618Bombs planted
782Bombs defused

Most-used weapons

AK-4739,393
AWP4,996
MP91,410
P901,219
UMP-451,115

Lifetime map wins

9,146dust2
6,970inferno
1,490train
1,388vertigo
978nuke
409cbble
174office
162italy

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

Faceit stats

Combat

8Matches
62%Win rate
1.04Avg K/D
ADR
43%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLWWW

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.

21.6%Headshot accuracy
29.9%Accuracy (enemy spotted)
32.0%Spray accuracy
83.9%Counter-strafing
9.4°Preaim
658msReaction time
47.3%T opening success
36.3%CT opening success
0.58Enemies flashed / flash
4.0%Flash assists
8.48HE damage / grenade
16.05Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.257% — below the 40% mark we flag

Spend your practice time on Train

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient13–60.0230%6 Apr
anubis8–13-0.0324%6 Apr
mirage11–130.0417%6 Apr
mirage13–40.0121%6 Apr
nuke13–80.0317%4 Apr
ancient13–6-0.0324%3 Apr
inferno13–60.0518%2 Apr
dust28–13-0.0212%2 Apr
inferno10–13-0.0133%2 Apr
dust216–14-0.0114%2 Apr
inferno12–16-0.0019%2 Apr
ancient13–30.0725%1 Apr
mirage13–60.0325%31 Mar
overpass13–70.0618%29 Mar
dust214–16-0.0523%29 Mar
inferno13–60.0430%28 Mar
mirage15–15-0.0014%26 Mar
dust213–90.0231%26 Mar
dust213–60.0331%26 Mar
inferno10–130.0317%26 Mar
nuke13–60.0319%25 Mar
mirage16–130.0130%25 Mar
dust26–13-0.0224%25 Mar
dust28–13-0.0236%26 Jan
mirage13–6-0.0312%26 Jan
mirage16–130.0121%26 Jan
dust29–13-0.0515%25 Jan
mirage13–4-0.0214%25 Jan
mirage9–130.0025%25 Jan
mirage5–80.0512%25 Jan
dust215–150.0021%25 Jan
mirage9–130.0015%25 Jan
ancient6–13-0.0712%25 Jan
mirage10–13-0.0617%25 Jan
mirage13–8-0.0215%23 Jan
inferno13–7-0.0414%23 Jan
ancient16–13-0.0317%23 Jan
inferno13–80.0428%23 Jan
mirage13–20.0140%23 Jan
dust213–100.0040%23 Jan
anubis13–80.0510%23 Jan
mirage9–13-0.0114%22 Jan
mirage5–13-0.0125%22 Jan
mirage13–8-0.049%22 Jan
mirage7–13-0.0318%22 Jan
dust211–13-0.0312%22 Jan
ancient13–50.0632%21 Jan
dust213–10-0.0124%21 Jan
overpass7–13-0.0321%21 Jan
train9–13-0.0123%20 Jan
dust213–80.0636%20 Jan
dust28–13-0.0215%19 Jan
dust22–13-0.0714%19 Jan
dust24–13-0.0837%19 Jan
inferno13–10-0.0613%18 Jan
overpass13–8-0.0320%18 Jan
mirage13–30.0324%18 Jan
inferno13–100.0110%18 Jan
dust211–130.0326%18 Jan
dust210–130.0219%18 Jan
dust213–16-0.0135%17 Jan
ancient13–40.0924%17 Jan
dust213–70.1034%17 Jan
train13–160.0126%16 Jan
mirage10–130.0633%16 Jan
mirage13–90.0117%16 Jan
train4–130.0031%16 Jan
inferno11–130.0217%16 Jan
dust24–13-0.0416%16 Jan
dust213–10-0.0523%15 Jan
overpass12–12-0.0422%15 Jan
mirage13–20.0726%15 Jan
train13–20.1224%15 Jan
overpass13–80.0620%14 Jan
anubis5–13-0.0421%14 Jan
dust213–10-0.0123%14 Jan
mirage3–6-0.0417%14 Jan
mirage4–13-0.0221%14 Jan
dust28–13-0.1020%13 Jan
dust213–110.0138%12 Jan
inferno7–130.0120%12 Jan
mirage15–15-0.0624%12 Jan
dust213–60.0127%12 Jan
mirage3–13-0.0827%3 Jan
mirage13–30.0436%3 Jan
dust26–13-0.0522%3 Jan
dust213–3-0.0312%3 Jan
overpass16–13-0.0227%3 Jan
overpass16–12-0.0226%3 Jan
ancient5–13-0.0430%28 Oct
dust213–100.0818%25 Oct
overpass5–13-0.0324%23 Oct
ancient11–130.0425%23 Oct
dust211–13-0.0525%22 Oct
dust214–160.0427%22 Oct
mirage11–13-0.0523%21 Oct
overpass7–13-0.029%17 Oct
inferno13–80.0420%17 Oct
train13–5-0.0015%14 Oct
inferno2–13-0.0426%14 Oct

Match data via Leetify.

Recent teammates

Milestones

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