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Javoxx

Javoxx — CS2 Stats

CL76561197999093408[U:1:38827680]Steam profile ↗✓ No bans

632Tracked matches25%Win rate2022Tracked since
528Hours in CS16Hrs last 2 wks
CSDB Rating3.8 Learning
WingmanGold Nova Master
Ladder ranks via Leetify

Performance scores

Aim56
Positioning31
Utility35

0–100 skill scores via Leetify.

Recent form

COLD28–66–6Last 10028%Win rateLWLLLLLLLW

Last 10 vs previous 10: -10pp win rate · -0.01 avg rating

Player DNA

Aim5.6
Aggression2.8
Utility3.5
Positioning3.1
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 73% playstyle similarity

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

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. 658ms 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

Aim5.6
Positioning3.1
Utility3.5
Mechanics6.2
Opening Duels0.0
Win Impact0.0

Composite 3.8/10 (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-0.04−0.03
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time661ms−29ms
first ⅓ avg 690ms → last ⅓ avg 661ms
Headshot accuracy15.0%−0.7%
first ⅓ avg 15.7% → last ⅓ avg 15.0%

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 — nuke 13–4
13–1Biggest win — anubis
3Longest win streak
5–4In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 33% over 15dust2Weakest map · 27% over 30
MapGradePlayedRecordWin rateAvg rating
dust2D308–2227%-0.03
mirageD267–1927%-0.03
nukeD155–1033%-0.03
infernoD134–931%-0.03
ancientD62–433%-0.04
vertigo—40–40%-0.06
train—20–20%-0.06
cache—10–10%-0.04
grail—11–0100%-0.02
anubis—11–0100%0.05
overpass—10–10%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 30). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

15,082Lifetime kills
0.94K/D
1,092Matches
35.7%Match win rate
45.6%Headshot %
14.2%Shot accuracy · Top 50% of tracked players
1,445MVPs
307Hours (in match)
660Bombs planted
175Bombs defused

Most-used weapons

M4A4 / M4A1-S4,263
AK-473,692
P2000 / USP-S1,256
Glock-181,138
Galil AR779
FAMAS612
AWP518
MP9465
Desert Eagle402
MAC-10397

Lifetime map wins

1,444dust2
1,242inferno
499nuke
490vertigo
33train
25ar_shoots
12sugarcane
11lake

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

Faceit stats

Combat

3Matches
0%Win rate
0.53Avg K/D
52.3ADR
31%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

14.6%Headshot accuracy
33.1%Accuracy (enemy spotted)
37.3%Spray accuracy
77.8%Counter-strafing
9.3°Preaim
658msReaction time
28.8%T opening success
20.3%CT opening success
0.56Enemies flashed / flash
1.1%Flash assists
11.70HE damage / grenade
2.01Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.6116% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.0094 — below the 4 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 28.8391% — 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.

27% win rate across 30 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.0617%28 Aug →
mirage13–3-0.0619%28 Aug →
dust26–13-0.1011%28 Aug →
cache7–13-0.049%27 Aug →
mirage6–13-0.038%27 Aug →
dust23–13-0.075%27 Aug →
ancient0–13-0.036%26 Aug →
dust25–13-0.0916%26 Aug →
mirage9–13-0.0613%26 Aug →
ancient13–110.0120%25 Aug →
nuke13–6-0.0218%25 Aug →
dust23–130.015%25 Aug →
dust20–13-0.0727%23 Aug →
nuke13–3-0.0219%23 Aug →
mirage4–2-0.0217%23 Aug →
mirage4–13-0.1213%22 Aug →
nuke5–13-0.046%22 Aug →
mirage0–13-0.0325%22 Aug →
mirage8–13-0.0616%22 Aug →
mirage6–13-0.0714%20 Aug →
mirage2–13-0.0313%20 Aug →
dust212–12-0.0022%20 Aug →
nuke5–13-0.085%20 Aug →
ancient13–11-0.0121%19 Aug →
dust212–12-0.0724%19 Aug →
dust20–8-0.0633%19 Aug →
inferno7–13-0.0611%19 Aug →
inferno11–13-0.0118%12 Aug →
nuke6–40.044%8 Aug →
dust213–10-0.099%8 Aug →
inferno7–13-0.0319%1 Aug →
nuke13–10-0.0520%1 Aug →
dust24–13-0.0515%1 Aug →
inferno3–13-0.0126%1 Aug →
dust213–6-0.0130%16 Jan →
nuke2–13-0.0823%14 Dec →
dust213–3-0.0123%14 Dec →
nuke2–13-0.0921%14 Dec →
inferno2–13-0.0917%14 Dec →
nuke3–13-0.0521%6 Sept →
dust213–9-0.0627%6 Sept →
inferno9–130.0427%23 Aug →
ancient5–13-0.0632%23 Aug →
nuke0–13-0.0625%23 Aug →
dust25–13-0.0418%23 Aug →
mirage4–130.0232%26 Jul →
ancient4–13-0.0510%26 Jul →
mirage5–13-0.0813%26 Jul →
inferno13–9-0.0112%7 Jun →
mirage13–50.0217%25 May →
grail13–9-0.0222%11 May →
mirage0–13-0.0429%16 Feb →
dust22–13-0.0410%28 Jan →
dust24–130.0214%5 Dec →
nuke13–40.1320%30 Nov →
mirage8–13-0.0417%27 Nov →
dust28–13-0.0014%27 Nov →
dust21–8-0.0917%26 Nov →
train12–120.0216%26 Nov →
inferno13–90.0419%22 Nov →
train4–13-0.1328%20 Nov →
dust212–12-0.0534%20 Nov →
inferno13–6-0.0124%10 Nov →
dust213–90.0114%10 Nov →
inferno3–13-0.1013%10 Nov →
nuke8–13-0.0824%10 Nov →
inferno11–13-0.0314%9 Nov →
dust23–13-0.0912%7 Nov →
mirage9–130.0112%7 Nov →
dust213–40.009%6 Nov →
vertigo3–130.0524%6 Nov →
nuke5–130.0214%31 Oct →
dust29–130.0019%31 Oct →
inferno13–3-0.0311%29 Oct →
dust28–13-0.080%24 Oct →
mirage8–13-0.0116%19 Oct →
anubis13–10.0512%19 Oct →
dust24–13-0.0121%19 Oct →
dust213–40.1313%4 Oct →
ancient8–13-0.0718%21 Sept →
mirage13–11-0.0519%21 Sept →
vertigo7–13-0.0933%21 Sept →
mirage12–120.0618%3 Sept →
mirage3–13-0.048%30 Aug →
vertigo3–13-0.1020%30 Aug →
dust25–130.0116%28 Aug →
dust212–12-0.048%25 Aug →
mirage13–110.1116%25 Aug →
mirage11–13-0.0018%17 Aug →
mirage0–13-0.1215%17 Aug →
mirage7–13-0.0413%16 Aug →
vertigo7–13-0.1123%15 Aug →
mirage13–5-0.0024%15 Aug →
inferno2–13-0.0811%10 Aug →
overpass2–13-0.0219%10 Aug →
nuke13–3-0.0614%10 Aug →
dust213–90.0819%10 Aug →
mirage13–60.0617%9 Aug →
mirage4–13-0.1218%9 Aug →
dust20–13-0.0511%8 Aug →

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 →

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