jjjj

jjjj — CS2 Stats

FI76561198091108296[U:1:130842568]Steam profile ↗✓ No bans

719Tracked matches43%Win rate2020Tracked since
CSDB Rating3.5 LearningClutch Specialist
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 719 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 58 days played since 29 Apr 2023. Come back after the next session and the change shows above.

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Rating over time

58Days played since 2023-04-29

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGjjjjFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim44
Positioning34
Utility30

0–100 skill scores via Leetify.

Recent form

HOT46513Last 10046%Win rateWWWWLLWWLW

Last 10 vs previous 10: +50pp win rate · +0.03 avg rating · −6.5pp headshot accuracy · +59ms reaction

Win rate up 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 767ms

Last 10

  • 73 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 696ms

Last 20

  • 911 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 666ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+2.9 against its own average).

Aim4.4
Utility3.0
Positioning3.4
Opening Duels0.0
Clutch6.0

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

NiKo

Plays most like NiKo 83% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 654ms 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

Aim4.4
Positioning3.4
Utility3.0
Mechanics4.9
Opening Duels0.3
Win Impact2.8

Composite 3.5/10 (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-0.02+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.02
Reaction time654ms+47ms
first ⅓ avg 607ms → last ⅓ avg 654ms
Headshot accuracy15.8%+2.3%
first ⅓ avg 13.5% → last ⅓ avg 15.8%

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.

Personal bests

0.09Best match rating · 13–2 · nuke, 2 Sept
38%Best headshot accuracy · 5–13 · ancient, 8 Apr
422msFastest reaction time · 6–13 · ancient, 2 Nov
13–1Biggest win · nuke, 4 Nov

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
74In matches decided by ≤2 rounds
19Overtime games

Map breakdown

nukeBest map · 68% over 22ancientWeakest map · 0% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB23111248%-0.04
nukeS2215768%-0.01
ancientD9090%-0.04
cacheB84450%-0.01
dust2C83538%-0.03
trainA74357%-0.01
vertigoD71614%-0.03
overpassD62433%-0.00
anubisA53260%-0.06
inferno43175%-0.01
grail1010%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

793Matches
49%Win rate
0.70Avg K/D
54.3ADR
35%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke850%0.7610.9
Mirage757%0.739.9
Ancient757%1.1112.3
Dust2560%0.8010.8
Anubis20%0.528.0
Train250%0.7012.0
Inferno10%0.5811.0
Vertigo10%0.447.0

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.

15.8%Headshot accuracy
32.7%Accuracy (enemy spotted)
34.0%Spray accuracy
71.8%Counter-strafing
11.2°Preaim
654msReaction time
19.3%T opening success
32.1%CT opening success
0.42Enemies flashed / flash
1.6%Flash assists
4.32HE damage / grenade
3.72Flashes / 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 0.4185 — 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 19.2825% — 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.

0% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–100.0215%14 Jul
dust213–10-0.0111%14 Jul
cache13–9-0.016%8 Jul
mirage13–2-0.060%8 Jul
cache5–13-0.0118%23 May
cache11–130.0030%23 May
mirage13–60.039%15 May
cache13–90.0116%15 May
cache6–13-0.0312%29 Apr
nuke13–50.0223%29 Apr
nuke12–16-0.0130%22 Apr
ancient8–13-0.0224%21 Apr
train8–130.0118%21 Apr
anubis8–13-0.0710%21 Apr
ancient5–13-0.0138%8 Apr
mirage7–13-0.0619%6 Apr
overpass13–90.0113%3 Apr
dust26–13-0.089%3 Apr
mirage2–13-0.0419%3 Apr
mirage13–10-0.0723%25 Mar
nuke13–7-0.0421%25 Mar
mirage10–13-0.026%5 Feb
ancient11–13-0.037%5 Feb
dust216–14-0.0215%4 Nov
nuke13–10.077%4 Nov
mirage2–13-0.0619%4 Nov
overpass7–13-0.0215%4 Nov
ancient6–13-0.057%2 Nov
mirage5–13-0.0221%2 Nov
mirage13–11-0.0510%30 Oct
ancient7–13-0.0623%30 Oct
nuke11–130.0018%29 Oct
train13–11-0.0213%29 Oct
mirage13–10-0.0220%29 Oct
nuke7–30.0124%29 Oct
ancient2–13-0.0812%27 Oct
overpass3–130.0110%27 Oct
mirage13–9-0.0423%27 Oct
mirage9–13-0.0113%26 Oct
mirage6–13-0.0316%22 Sept
nuke13–100.0318%15 Sept
mirage1–13-0.139%4 Aug
ancient9–13-0.037%11 Jul
inferno13–110.0027%11 Jul
train4–130.0114%10 Jul
nuke13–9-0.0412%8 Jul
train13–11-0.0216%29 Jun
nuke12–12-0.019%11 Jun
nuke13–80.0314%10 Jun
train1–13-0.0616%9 Jun
inferno13–8-0.019%24 May
grail6–13-0.0421%15 May
nuke13–8-0.039%12 May
train13–1-0.010%9 May
vertigo12–12-0.045%7 May
ancient7–13-0.045%7 May
ancient5–13-0.0012%6 May
mirage6–13-0.0532%18 Apr
overpass13–40.0521%18 Apr
anubis13–9-0.034%18 Apr
nuke13–10-0.0322%18 Apr
dust26–13-0.0412%12 Apr
anubis13–1-0.028%12 Apr
dust213–90.0312%19 Mar
nuke13–9-0.0710%17 Mar
mirage13–11-0.048%17 Mar
dust213–160.0011%1 Mar
anubis4–13-0.0920%25 Apr
nuke11–130.038%24 Apr
nuke13–5-0.0215%12 Oct
dust21–13-0.0811%12 Oct
vertigo8–13-0.0715%10 Oct
nuke10–13-0.089%10 Oct
nuke13–9-0.0313%10 Sept
mirage13–8-0.0729%10 Sept
vertigo13–10-0.0118%5 Sept
mirage16–12-0.058%4 Sept
nuke13–8-0.0416%4 Sept
mirage13–5-0.0119%3 Sept
inferno4–13-0.0512%3 Sept
nuke13–20.0915%2 Sept
mirage13–110.0421%2 Sept
inferno13–40.0110%1 Sept
dust219–22-0.0422%31 Aug
nuke16–7-0.0215%31 Aug
vertigo9–160.0211%31 Aug
nuke2–9-0.117%13 Aug
mirage9–16-0.0414%13 Aug
mirage9–16-0.048%13 Jun
overpass8–160.0311%7 Jun
nuke8–16-0.0212%28 May
overpass10–16-0.099%28 May
vertigo15–15-0.0510%28 May
cache3–90.0014%19 May
train16–13-0.0110%2 May
mirage10–16-0.0513%2 May
vertigo7–16-0.107%2 May
anubis16–8-0.0510%30 Apr
cache16–11-0.0622%30 Apr
vertigo6–160.0213%29 Apr

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 →