GGr3g — CS2 Stats

76561198390686752[U:1:430421024]

340Tracked matches47%Win rate2024Tracked since
CSDB Rating3.5 Learning
Premier CS Rating4,891Grey band · top ~79.3% of ranked players (population est.)
CSDB Leaderboard#20269 of 26324 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGGGr3gFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER4,891 · Grey bandcsdb.gg/stats

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Performance scores

Aim49
Positioning37
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY49474Last 10049%Win rateLWWWLLLWWL

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

Aim4.9
Aggression4.6
Utility3.6
Positioning3.7
Opening Duels0.7
Clutch4.6

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 78% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

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. 666ms 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

Aim4.9
Positioning3.7
Utility3.6
Mechanics4.6
Opening Duels1.1
Win Impact3.9

Composite 3.5/10 (Learning), 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+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time671ms+29ms
first ⅓ avg 642ms → last ⅓ avg 671ms
Headshot accuracy14.6%+1.5%
first ⅓ avg 13.2% → last ⅓ avg 14.6%

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

0.13Best rating — mirage 13–3
130Biggest win — inferno
5Longest win streak
54In matches decided by ≤2 rounds

Map breakdown

mirageBest map · 69% over 13dust2Weakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB32171553%-0.00
nukeC145936%-0.02
mirageS139469%0.00
dust2D92722%-0.02
ancientD93633%-0.02
anubisA85363%-0.02
trainA74357%0.03
overpass32167%0.01
vertigo31233%-0.05
cache21150%-0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

12Matches
42%Win rate
0.73Avg K/D
59.6ADR
35%Headshot %

Clutches & streaks

43%1v1 clutch win
7%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage650%0.689.3
Train20%0.7712.0
Ancient1100%0.436.0
Anubis1100%1.509.0
Inferno10%0.6714.0
Nuke10%0.5910.0

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.

16.8%Headshot accuracy
33.4%Accuracy (enemy spotted)
36.1%Spray accuracy
70.8%Counter-strafing
10.5°Preaim
666msReaction time
39.0%T opening success
26.6%CT opening success
0.47Enemies flashed / flash
3.0%Flash assists
7.86HE damage / grenade
5.68Flashes / 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 0.465 — 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 39.0326% — below the 40% mark we flag

Spend your practice time on Dust 2

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis4–9-0.070%28 Aug
inferno13–6-0.0824%28 Aug
inferno13–9-0.0730%22 Aug
inferno13–40.0427%29 Jun
inferno8–13-0.1014%27 May
inferno1–9-0.120%27 May
inferno5–13-0.0036%25 May
mirage13–100.0516%24 May
inferno13–70.0510%24 May
dust26–13-0.008%24 May
cache4–13-0.0310%24 May
inferno13–7-0.0817%18 May
ancient10–13-0.0112%17 May
mirage13–30.1325%17 May
dust26–13-0.007%17 May
cache13–40.0311%17 May
inferno13–10.0913%16 May
mirage13–6-0.0133%11 May
train1–13-0.0112%11 May
inferno7–13-0.0128%11 May
inferno13–50.0113%10 May
inferno13–80.0419%4 May
nuke9–130.0112%26 Apr
overpass8–13-0.064%26 Apr
ancient0–3-0.010%26 Apr
dust27–130.0023%26 Apr
dust29–13-0.0513%26 Apr
mirage13–70.0813%25 Apr
anubis13–90.0314%25 Apr
ancient6–13-0.0512%18 Apr
anubis13–9-0.018%18 Apr
inferno13–50.067%18 Apr
vertigo2–13-0.0812%18 Apr
inferno13–90.0212%30 Mar
inferno2–13-0.0333%27 Mar
inferno10–13-0.0116%25 Mar
inferno13–00.0714%8 Mar
inferno11–130.0425%7 Mar
inferno13–10.0518%15 Feb
inferno9–13-0.0717%8 Feb
mirage8–8-0.0222%8 Feb
inferno9–13-0.1025%1 Feb
anubis13–90.0111%1 Feb
nuke11–130.0620%4 Dec
ancient13–110.0614%3 Dec
nuke2–10-0.030%28 Nov
nuke2–00.060%28 Nov
nuke0–13-0.070%19 Nov
nuke13–7-0.0214%14 Nov
inferno12–120.0717%13 Nov
inferno9–130.0427%11 Nov
nuke13–30.0110%10 Nov
ancient10–13-0.0810%10 Nov
train10–130.0122%10 Nov
ancient12–120.0016%10 Nov
inferno13–40.0521%10 Nov
dust26–130.038%10 Nov
vertigo13–80.019%25 Oct
mirage5–13-0.109%25 Oct
anubis12–12-0.0413%19 Oct
overpass7–20.0616%19 Oct
overpass12–00.0275%19 Oct
inferno13–30.0835%19 Oct
mirage13–30.0214%19 Oct
nuke13–3-0.0525%19 Oct
nuke5–13-0.079%19 Oct
train13–100.0321%19 Oct
ancient13–10-0.0112%18 Oct
dust213–6-0.014%18 Oct
inferno13–110.0514%16 Oct
mirage8–13-0.0511%15 Oct
dust28–13-0.068%9 Oct
mirage13–20.047%19 Sept
train13–50.0114%18 Sept
nuke5–13-0.060%18 Sept
inferno11–13-0.0112%18 Sept
ancient13–2-0.060%17 Sept
mirage13–10-0.066%15 Sept
dust26–13-0.0922%15 Sept
mirage13–110.0014%14 Sept
vertigo6–13-0.069%14 Sept
inferno13–11-0.066%14 Sept
ancient1–13-0.0618%13 Sept
train12–120.0221%13 Sept
train13–80.0719%12 Sept
anubis13–1-0.0120%12 Sept
nuke9–13-0.054%12 Sept
mirage13–9-0.0015%10 Sept
inferno4–13-0.0028%10 Sept
nuke13–5-0.0116%8 Sept
anubis13–7-0.055%8 Sept
inferno8–13-0.052%8 Sept
dust213–50.0219%8 Sept
inferno8–13-0.0414%7 Sept
anubis8–13-0.0430%5 Sept
mirage8–13-0.0418%5 Sept
inferno13–4-0.0411%5 Sept
train13–80.0918%5 Sept
nuke3–130.0427%5 Sept
nuke6–13-0.0412%4 Sept

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 →