GREEN

GREEN — CS2 Stats

GB76561198056710597[U:1:96444869]Steam profile ↗VAC banned

648Tracked matches23%Win rate2021Tracked since
953Hours in CS2Hrs last 2 wks
CSDB Rating3.7 Learning
Ladder ranks via Leetify

Performance scores

Aim55
Positioning32
Utility11

0–100 skill scores via Leetify.

Recent form

COLD306010Last 10030%Win rateLWLLLLLLLL

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Aim5.5
Aggression1.5
Utility1.1
Positioning3.2
Opening Duels0.0
Clutch0.0

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 62% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower opening-fight frequency; lower utility contribution.

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. 706ms 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

Aim5.5
Positioning3.2
Utility1.1
Mechanics8.1
Opening Duels0.0
Win Impact0.0

Composite 3.7/10 (Learning), 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-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time709ms−34ms
first ⅓ avg 742ms → last ⅓ avg 709ms
Headshot accuracy24.4%−0.4%
first ⅓ avg 24.9% → last ⅓ avg 24.4%

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

0.08Best rating — overpass 13–2
130Biggest win — anubis
4Longest win streak
55In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 50% over 10mirageWeakest map · 12% over 17
MapGradePlayedRecordWin rateAvg rating
cacheC30111937%-0.02
mirageD1721512%-0.05
dust2C145936%-0.03
anubisB105550%-0.02
infernoD92722%-0.04
overpassD72529%-0.03
ancientC73443%-0.05
train2020%-0.02
vertigo2020%0.01
nuke1010%-0.01
office1010%-0.08

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (12% over 17). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,041Lifetime kills
0.82K/D
1,756Matches
41.2%Match win rate
51.0%Headshot % · Top 25% of tracked players
11.8%Shot accuracy
2,256MVPs
516Hours (in match)
929Bombs planted
198Bombs defused

Most-used weapons

Lifetime map wins

2,276dust2
1,954inferno
904nuke
473train
423vertigo
53office
45lake
24safehouse

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

Faceit stats

Combat

5Matches
40%Win rate
0.89Avg K/D
77.5ADR
65%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.7710.5
Inferno10%0.5010.0
Dust21100%1.5722.0
Ancient10%0.8612.0

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.

24.6%Headshot accuracy
27.4%Accuracy (enemy spotted)
26.9%Spray accuracy
86.6%Counter-strafing
9.5°Preaim
706msReaction time
25.9%T opening success
18.4%CT opening success
0.25Enemies flashed / flash
1.4%Flash assists
3.05HE damage / grenade
0.92Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 705.8395ms — above the 700ms mark we flag

    Aim Training
  2. 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 0.248 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 25.9197% — below the 40% mark we flag

Spend your practice time on Mirage

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

12% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0228%22 Aug
overpass13–20.0837%22 Aug
mirage6–13-0.0323%19 Aug
dust26–13-0.0625%19 Aug
inferno1–13-0.0318%10 Aug
mirage7–13-0.049%10 Aug
dust21–13-0.0713%10 Aug
inferno10–13-0.0350%6 Aug
inferno5–13-0.0219%6 Aug
mirage3–13-0.0831%6 Aug
cache9–13-0.1010%5 Aug
dust26–13-0.0221%4 Aug
inferno13–11-0.0731%2 Aug
mirage1–13-0.1114%2 Aug
cache13–11-0.0229%31 Jul
dust210–13-0.0223%31 Jul
cache10–130.0234%31 Jul
anubis2–13-0.0724%31 Jul
mirage4–13-0.1013%31 Jul
dust213–8-0.0622%28 Jul
cache12–12-0.0116%28 Jul
anubis6–130.0143%27 Jul
cache9–13-0.0138%27 Jul
inferno12–12-0.0122%27 Jul
anubis13–4-0.0218%26 Jul
inferno9–13-0.0615%26 Jul
overpass12–12-0.0238%26 Jul
dust213–9-0.0319%26 Jul
ancient8–13-0.0814%21 Jul
train12–12-0.0329%18 Jul
ancient3–13-0.0433%18 Jul
mirage3–13-0.0922%18 Jul
cache8–13-0.0324%17 Jul
ancient9–13-0.0913%17 Jul
mirage3–13-0.0931%15 Jul
anubis11–9-0.0419%15 Jul
ancient13–2-0.0516%15 Jul
dust21–13-0.0626%15 Jul
cache11–130.0030%14 Jul
dust27–130.0125%14 Jul
nuke4–13-0.0121%13 Jul
overpass9–130.0128%5 Jul
inferno6–13-0.0513%5 Jul
anubis5–5-0.0042%5 Jul
cache13–80.0524%5 Jul
ancient4–13-0.0325%2 Jul
cache13–9-0.0333%1 Jul
overpass10–13-0.0231%1 Jul
cache6–13-0.1014%30 Jun
anubis8–13-0.0219%30 Jun
office10–13-0.088%30 Jun
ancient13–11-0.0339%28 Jun
dust212–12-0.0120%28 Jun
mirage9–13-0.0430%28 Jun
cache2–13-0.0217%22 Jun
dust213–80.0325%19 Jun
inferno13–4-0.0218%19 Jun
mirage12–120.0528%18 Jun
cache13–10.0333%18 Jun
anubis13–0-0.0728%18 Jun
mirage11–13-0.0111%18 Jun
cache13–8-0.0711%13 Jun
overpass8–13-0.0931%8 Jun
anubis9–130.0631%6 Jun
cache9–130.0025%6 Jun
cache7–13-0.0422%4 Jun
mirage13–80.0424%4 Jun
cache13–5-0.0125%3 Jun
ancient13–6-0.0517%3 Jun
mirage13–10-0.099%3 Jun
mirage9–13-0.0539%2 Jun
dust213–70.0329%2 Jun
cache5–13-0.0315%2 Jun
cache9–13-0.0840%1 Jun
overpass13–8-0.0622%1 Jun
mirage2–13-0.1016%1 Jun
dust28–13-0.0127%31 May
cache13–50.0322%21 May
anubis13–8-0.0328%21 May
inferno8–13-0.0328%20 May
overpass11–13-0.0939%20 May
dust212–12-0.1021%19 May
cache9–13-0.0111%19 May
mirage11–13-0.0425%19 May
dust213–11-0.0714%14 May
vertigo8–13-0.0250%14 May
vertigo12–120.0417%12 May
train1–13-0.0133%12 May
cache3–130.0026%12 May
cache6–00.0814%12 May
cache13–70.0013%9 May
mirage1–13-0.0812%9 May
anubis13–7-0.0428%9 May
cache7–13-0.0125%9 May
cache12–12-0.0629%6 May
cache12–12-0.0429%5 May
cache13–9-0.0126%5 May
cache9–13-0.0541%3 May
cache0–13-0.1133%3 May
cache13–8-0.0719%2 May

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 →