nit

nit — CS2 Stats

CG76561198245748356[U:1:285482628]Steam profile ↗

196Tracked matches61%Win rate2020Tracked since
424Hours in CS
CSDB Rating5.0 Developing
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
CSDB Leaderboard#14994 of 23662 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 rate35.6%44.1%47.2%11.6% short
Shot accuracy18.0%11.4%12.7%above
Kill/death ratio1.061.031.090.03 short
Match win rate35.6%45.2%46.6%11.1% short

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

Widest gap: Headshot rate. 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.GGnitPREMIER15,000 · Purple bandcsdb.gg/stats

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Performance scores

Aim53
Positioning42
Utility35

0–100 skill scores via Leetify.

Recent form

COLD50473Last 10050%Win rateLTLLLLLWLW

Last 10 vs previous 10: -40pp win rate · -0.04 avg rating

Player DNA

Aim5.3
Aggression4.0
Utility3.5
Positioning4.2
Opening Duels0.0

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 77% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

Where you differ: lower utility contribution; 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. 663ms 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

Aim5.3
Positioning4.2
Utility3.5
Mechanics7.4
Opening Duels0.5
Win Impact8.6

Composite 5.0/10 (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-0.01−0.04
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time651ms+44ms
first ⅓ avg 607ms → last ⅓ avg 651ms
Headshot accuracy16.5%−6.9%
first ⅓ avg 23.4% → last ⅓ avg 16.5%

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

0.18Best rating — inferno 8–13
132Biggest win — mirage
11Longest win streak
138In matches decided by ≤2 rounds
12Overtime games

Map breakdown

infernoBest map · 58% over 24ancientWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB27141352%-0.00
infernoA24141058%0.01
nukeB189950%-0.01
dust2C146843%-0.00
ancientD62433%-0.03
overpassC52340%-0.03
trainC52340%-0.00
anubis110100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,067Lifetime kills
1.06K/D · Top 50% of Purple band
1,291Matches
35.6%Match win rate
35.6%Headshot %
18.0%Shot accuracy · Top 10% of Purple band
2,356MVPs
424Hours (in match)
862Bombs planted
193Bombs defused

Most-used weapons

Lifetime map wins

2,055dust2
1,270inferno
423nuke
284train
121cbble
57vertigo
40office
25safehouse

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.

17.4%Headshot accuracy
32.1%Accuracy (enemy spotted)
35.2%Spray accuracy
83.5%Counter-strafing
11.9°Preaim
663msReaction time
26.4%T opening success
33.7%CT opening success
0.31Enemies flashed / flash
5.0%Flash assists
6.71HE damage / grenade
6.27Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.314 — below the 0.5 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 26.3931% — 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.

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0417%3 Jul
dust215–15-0.0323%28 Jun
mirage12–16-0.0019%28 Jun
nuke7–13-0.0216%13 Jun
inferno10–130.0614%11 Jun
overpass7–13-0.069%9 Jun
mirage6–13-0.0512%9 Jun
nuke13–11-0.059%8 Jun
dust29–13-0.0736%8 Jun
inferno13–8-0.1012%8 Jun
nuke15–15-0.039%8 Jun
inferno16–13-0.045%4 Jun
inferno7–13-0.0617%1 Jun
mirage9–13-0.0612%1 Jun
inferno13–70.0616%31 May
dust213–80.009%31 May
mirage13–11-0.0130%31 May
overpass8–130.0328%31 May
dust213–80.0632%30 May
mirage13–90.0516%30 May
nuke13–80.1019%30 May
inferno13–50.0616%2 May
mirage13–110.0226%26 Apr
overpass13–11-0.0423%26 Apr
inferno13–100.0626%16 Apr
overpass1–4-0.0325%16 Apr
inferno13–110.0310%11 Apr
overpass13–6-0.0210%12 Mar
inferno13–80.0014%10 Mar
mirage13–5-0.0516%9 Mar
dust213–16-0.068%9 Mar
inferno9–13-0.023%8 Mar
nuke13–6-0.056%26 Oct
train13–80.0318%26 Oct
nuke15–150.0012%25 Oct
dust29–13-0.0544%25 Oct
mirage8–13-0.060%25 Oct
train11–13-0.026%22 Oct
dust29–130.018%18 Oct
inferno13–40.0512%16 Oct
ancient9–13-0.0614%14 Oct
inferno14–16-0.0415%14 Oct
nuke4–13-0.088%13 Oct
mirage6–13-0.079%12 Oct
inferno11–13-0.0815%11 Oct
nuke8–3-0.0814%9 Oct
mirage9–13-0.105%7 Oct
dust26–13-0.035%23 Sept
inferno10–13-0.0614%22 Sept
mirage13–90.0117%22 Sept
dust213–3-0.0321%22 Sept
dust211–130.0221%21 Sept
nuke7–13-0.0110%21 Sept
mirage4–13-0.079%20 Sept
dust27–130.0112%20 Sept
ancient5–130.007%20 Sept
mirage13–11-0.069%20 Sept
mirage10–13-0.0113%8 Jul
train7–13-0.0715%8 Jul
inferno13–90.0220%8 Jul
inferno13–11-0.0313%23 Jun
mirage3–13-0.085%23 Jun
nuke6–13-0.0230%5 Jun
train0–13-0.039%3 Jun
mirage13–60.1025%3 Jun
nuke13–11-0.0510%3 Jun
mirage14–160.0816%3 Jun
train13–60.0833%2 Jun
inferno9–130.0723%2 Jun
mirage13–70.0830%1 Jun
mirage13–110.0419%1 Jun
mirage13–90.0411%30 May
ancient6–13-0.0418%30 May
nuke13–10-0.0030%30 May
mirage10–13-0.0426%30 May
mirage9–130.0218%29 May
nuke8–13-0.0613%29 May
mirage6–13-0.0530%27 May
dust216–14-0.0418%27 May
anubis13–30.0121%27 May
dust213–70.0522%27 May
nuke11–13-0.0532%27 May
nuke11–13-0.0213%26 May
mirage13–80.0419%26 May
mirage13–110.0732%23 May
ancient16–140.0013%22 May
nuke13–11-0.0224%22 May
mirage13–20.0516%22 May
inferno13–60.0033%21 May
ancient16–13-0.0810%14 May
inferno13–8-0.0318%14 May
inferno11–20.1553%13 May
mirage13–100.0030%13 May
dust213–90.1525%13 May
inferno6–13-0.0517%10 May
nuke16–120.0521%10 May
nuke13–80.1321%10 May
inferno13–100.1333%10 May
inferno8–130.1835%10 May
ancient11–13-0.0316%8 May

Match data via Leetify.

Recent teammates

Milestones

100 Matches11-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →