Javid

Javid — CS2 Stats

US76561198052232639[U:1:91966911]Steam profile ↗

610Tracked matches59%Win rate2020Tracked since
CSDB Rating4.5 Developing
Premier CS Rating14,092Blue band · top ~33.2% of ranked players (population est.)
CSDB Leaderboard#9351 of 13949 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGJavidFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER14,092 · Blue bandcsdb.gg/stats

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Performance scores

Aim42
Positioning44
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY43534Last 10043%Win rateLWLWLWLWLL

Last 10 vs previous 10: -40pp win rate · -0.03 avg rating

Player DNA

Aim4.2
Aggression3.9
Utility5.0
Positioning4.4
Opening Duels0.7

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 79% playstyle similarity

Most alike: opening-fight frequency, 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. 725ms 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

Aim4.2
Positioning4.4
Utility5.0
Mechanics6.2
Opening Duels0.8
Win Impact7.9

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time713ms+35ms
first ⅓ avg 679ms → last ⅓ avg 713ms
Headshot accuracy19.4%−0.3%
first ⅓ avg 19.8% → last ⅓ avg 19.4%

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 — nuke 7–13
131Biggest win — ancient
4Longest win streak
711In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 48% over 21infernoWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
dust2C28111739%-0.03
mirageB21101148%-0.04
infernoC145936%-0.03
nukeC125742%-0.04
cacheB115645%-0.04
anubis43175%0.00
ancient42250%-0.05
overpass41325%-0.04
office110100%-0.02
vertigo1010%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

148Matches
52%Win rate
0.77Avg K/D
ADR
39%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Vertigo250%0.7813.0
Nuke10%0.7512.0
Mirage10%0.4919.0

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.

19.2%Headshot accuracy
32.0%Accuracy (enemy spotted)
34.7%Spray accuracy
77.9%Counter-strafing
12.5°Preaim
725msReaction time
29.2%T opening success
36.7%CT opening success
0.52Enemies flashed / flash
7.6%Flash assists
8.24HE damage / grenade
6.76Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.537° — above the 12° mark we flag

    Aim Training
  2. 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 724.7394ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Inferno

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust26–13-0.0916%23 Jul
anubis13–4-0.0110%23 Jul
cache2–13-0.1214%20 Jul
mirage13–7-0.1224%20 Jul
nuke11–13-0.0016%20 Jul
cache13–8-0.0434%20 Jul
cache14–16-0.0319%19 Jul
mirage13–10-0.0322%18 Jul
cache3–13-0.0819%18 Jul
dust28–13-0.0411%18 Jul
cache13–90.0216%18 Jul
mirage13–8-0.0524%18 Jul
ancient13–1-0.0020%18 Jul
dust211–13-0.0712%17 Jul
nuke13–8-0.075%17 Jul
mirage13–8-0.038%16 Jul
dust211–130.0121%16 Jul
cache13–8-0.027%15 Jul
dust213–80.0150%15 Jul
ancient13–9-0.059%15 Jul
mirage13–9-0.0420%14 Jul
nuke11–13-0.0619%14 Jul
dust211–13-0.0326%14 Jul
cache13–40.0217%13 Jul
inferno10–13-0.0413%13 Jul
mirage7–13-0.029%13 Jul
ancient15–15-0.0828%13 Jul
mirage13–7-0.0729%10 Jul
cache13–11-0.0829%10 Jul
anubis13–30.0522%10 Jul
dust25–130.0216%9 Jul
cache10–13-0.0335%9 Jul
inferno15–15-0.0419%9 Jul
dust213–10-0.0422%8 Jul
mirage6–13-0.0529%7 Jul
office13–9-0.0236%7 Jul
nuke13–11-0.0513%7 Jul
overpass4–13-0.097%7 Jul
dust27–13-0.0721%6 Jul
vertigo2–13-0.0711%6 Jul
inferno2–130.0219%6 Jul
mirage10–13-0.0527%6 Jul
inferno11–13-0.0221%6 Jul
inferno2–13-0.135%5 Jul
nuke8–13-0.065%5 Jul
dust213–110.0317%5 Jul
mirage13–5-0.0614%5 Jul
dust213–160.0131%4 Jul
nuke10–13-0.0830%4 Jul
dust213–8-0.0113%3 Jul
mirage10–130.0213%3 Jul
mirage5–130.0019%3 Jul
dust213–3-0.0124%2 Jul
mirage6–13-0.0824%2 Jul
nuke11–130.0118%2 Jul
inferno13–11-0.0516%1 Jul
nuke9–13-0.0721%30 Jun
inferno9–13-0.0517%30 Jun
dust25–13-0.0814%29 Jun
nuke7–130.0826%29 Jun
nuke13–5-0.0222%24 Jun
mirage5–13-0.089%24 Jun
inferno11–13-0.0416%24 Jun
dust211–13-0.0513%23 Jun
nuke13–7-0.0633%23 Jun
ancient7–13-0.0823%23 Jun
mirage13–7-0.038%22 Jun
inferno13–7-0.0117%22 Jun
dust25–13-0.0326%22 Jun
dust213–30.0835%22 Jun
dust213–110.0027%22 Jun
anubis16–120.0121%22 Jun
mirage8–13-0.0428%21 Jun
inferno13–7-0.0511%20 Jun
inferno13–80.0518%20 Jun
overpass13–16-0.0316%20 Jun
inferno5–13-0.0621%18 Jun
nuke13–9-0.0414%18 Jun
overpass13–9-0.0219%18 Jun
dust21–13-0.0514%17 Jun
dust26–13-0.0911%17 Jun
overpass14–16-0.0123%16 Jun
dust213–6-0.0012%16 Jun
inferno10–130.0635%15 Jun
cache12–12-0.017%15 Jun
mirage5–13-0.0414%15 Jun
dust212–16-0.0627%14 Jun
mirage2–13-0.0520%14 Jun
mirage13–5-0.028%14 Jun
dust26–130.0116%13 Jun
dust25–13-0.0919%12 Jun
mirage10–130.0528%12 Jun
dust213–9-0.0320%12 Jun
cache12–12-0.0524%12 Jun
inferno13–11-0.056%11 Jun
mirage16–14-0.0521%8 Jun
anubis10–13-0.059%8 Jun
dust213–10-0.0326%8 Jun
dust212–16-0.0929%7 Jun
dust213–80.0432%7 Jun

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 →