orang jawa

orang jawa — CS2 Stats

GH76561199863560318[U:1:1903294590]Steam profile ↗✓ No bans

39Tracked matches62%Win rate2025Tracked since
CSDB Rating5.2 DevelopingPositional Player
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 14 days played since 28 Jun 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 13,185 +359 16 Aug4 Sept · 2 days played
12,82613,185peak 13,18516 Aug4 Sept
13,185Peak Premier in tracked matches
14Days played since 2025-06-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Performance scores

Aim64
Positioning47
Utility17

0–100 skill scores via Leetify.

Recent form

STEADY22152Last 3956%Win rateWLWWWWWLLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −1.2pp headshot accuracy · +17ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 17%
  • Avg reaction 656ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 669ms

Last 20

  • 1181 · 55% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 660ms

Newest first, from the last 39 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional PlayerPositioning stands above the rest of this profile (+2 against its own average).

Aim6.4
Utility1.7
Positioning4.7
Opening Duels1.8

Strong CT-side opener

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

ropz

Plays most like ropz 80% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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.

T-side openings. Opening success drops from 47% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 644ms 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

Aim6.4
Positioning4.7
Utility1.7
Mechanics6.8
Opening Duels2.1
Win Impact9.0

Composite 5.2/10 (Developing), 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 rating0.03+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time658ms−2ms
first ⅓ avg 661ms → last ⅓ avg 658ms
Headshot accuracy20.3%+4.5%
first ⅓ avg 15.7% → last ⅓ avg 20.3%

Rolling 5-match average across the last 39 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.17Best match rating · 13–5 · ancient, 24 Jul
40%Best headshot accuracy · 13–4 · mirage, 14 Aug
281msFastest reaction time · 0–13 · dust2, 28 Jul
13–1Biggest win · inferno, 9 Aug

Across the last 39 tracked matches.

Highlights

5Longest win streak
4Overtime games

Map breakdown

dust2Best map · 80% over 5ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
ancientD124833%0.01
mirageA74357%0.02
infernoA53260%0.01
dust2S54180%0.00
overpass43175%-0.01
nuke32167%0.02
train21150%-0.05
anubis110100%0.06

Across the last 39 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.0%Headshot accuracy
36.0%Accuracy (enemy spotted)
36.2%Spray accuracy
80.4%Counter-strafing
10.2°Preaim
644msReaction time
22.7%T opening success
47.0%CT opening success
0.53Enemies flashed / flash
6.5%Flash assists
7.07HE damage / grenade
6.09Flashes / 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

    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 22.6939% — 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–60.1018%11 Sept
inferno4–13-0.0020%11 Sept
mirage13–50.0518%4 Sept
nuke13–30.0918%16 Aug
ancient13–7-0.0312%16 Aug
overpass13–20.0712%16 Aug
dust213–6-0.0029%16 Aug
train5–13-0.0522%16 Aug
mirage7–13-0.0318%16 Aug
mirage12–16-0.0416%14 Aug
dust213–100.0319%14 Aug
ancient13–110.0721%14 Aug
mirage13–40.0840%14 Aug
ancient9–130.0012%12 Aug
ancient5–13-0.068%12 Aug
overpass13–9-0.0513%9 Aug
inferno13–10.0030%9 Aug
ancient4–13-0.0925%9 Aug
ancient15–15-0.0115%9 Aug
ancient0–13-0.0413%28 Jul
overpass13–11-0.0315%28 Jul
dust20–13-0.050%28 Jul
overpass6–13-0.036%28 Jul
nuke13–100.0512%26 Jul
inferno13–6-0.0214%24 Jul
ancient13–50.1718%24 Jul
ancient10–130.1119%18 Jul
anubis13–40.0619%12 Jul
ancient13–70.0315%12 Jul
dust213–10-0.0017%12 Jul
inferno11–130.0217%12 Jul
mirage8–130.0414%12 Jul
train13–10-0.0515%12 Jul
nuke6–13-0.1013%12 Jul
inferno16–130.0320%10 Jul
ancient15–150.0114%6 Jul
mirage7–2-0.0322%6 Jul
dust213–70.0413%6 Jul
ancient3–13-0.015%28 Jun

Match data via Leetify.

Recent teammates

Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →