orang

orang — CS2 Stats

76561198049476872[U:1:89211144]Steam profile ↗✓ No bans

2,565Tracked matches39%Win rate2020Tracked since
5,866Hours in CS48Hrs last 2 wks
CSDB Rating6.6 SolidPositional Player
Premier CS Rating22,393Top 25% of 200,982 CSDB-tracked playersPink band · top ~5.9% of ranked players (population est.)
CSDB Leaderboard#48812 of 247902 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

−423Premier CS Rating · 22,816 → 22,393

Rating over time

Premier CS Rating: 22,393 +381 22 Aug – 1 Oct · 20 days played
22,01224,467peak 24,46722 Aug1 Oct
24,999Peak Premier in tracked matches
24Days played since 2026-08-22

Premier CS Rating

  • 2,074 below peak (24,467)
  • -1,066 over 30 days · declining
  • Next: Red band at 25,000 — 2,607 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches120——
Win rate41%——
K/D0.94——
Headshot %58%——

Measured 31 Aug 2026 → 1 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=29,218), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate49.7%50.9%
Shot accuracy16.4%13.8%
Kill/death ratio1.231.09
Match win rate42.0%48.4%

Share this profile

CSDB.GGorangFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER22,393 · Pink bandcsdb.gg/stats

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Performance scores

Aim86
Positioning70
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY44–48–8Last 10044%Win rateTLLLWWWLWL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −0.1pp headshot accuracy · +21ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 505ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 26%
  • Avg reaction 510ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 26%
  • Avg reaction 499ms

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: Positional Player — Positioning stands above the rest of this profile (+2.3 against its own average).

Aim8.6
Utility4.2
Positioning7.0
Opening Duels3.9
Clutch3.6

Sharp aimerLimited 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

ropz

Plays most like ropz 85% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

T openings. 70% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 70% on T to 53% on CT — first contacts on the defending side are being lost.

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

Aim8.6
Positioning7.0
Utility4.2
Mechanics6.3
Opening Duels7.9
Win Impact1.4

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time489ms−50ms
first ⅓ avg 539ms → last ⅓ avg 489ms
Headshot accuracy24.7%+0.4%
first ⅓ avg 24.4% → last ⅓ avg 24.7%

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

0.16Best match rating · 13–4 · nuke, 25 Sept →
75%Best headshot accuracy · 1–13 · cache, 29 Sept →
359msFastest reaction time · 0–13 · anubis, 8 Sept →
13–2Biggest win · cache, 27 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–5In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 55% over 11ancientWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
cacheC2610–1638%-0.01
mirageB168–850%-0.02
infernoB158–753%0.01
ancientD122–1017%-0.01
anubisA116–555%-0.01
dust2B84–450%-0.01
nuke—43–175%0.02
train—32–167%0.03
vertigo—31–233%0.01
boulder—10–10%-0.00
office—10–10%0.01

Across the last 100 tracked matches.

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

Lifetime stats

218,353Lifetime kills
1.23K/D · Top 25% of Level 10 players
8,958Matches
42.0%Match win rate
49.7%Headshot %
16.4%Shot accuracy · Top 50% of Level 10 players
25,436MVPs
3,586Hours (in match)
6,108Bombs planted
2,019Bombs defused

Most-used weapons

AK-4757,889
AWP43,207
P2505,296
SSG 085,099
Tec-95,045

Lifetime map wins

14,249inferno
9,782dust2
3,295train
2,843cbble
2,764nuke
1,863vertigo
250office
159lake

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

Faceit stats

Combat

304Matches
59%Win rate
1.31Avg K/D
90.3ADR
52%Headshot %

Clutches & streaks

38%1v1 clutch win
18%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno3266%1.1216.7
Mirage2955%1.1617.1
Cache2162%1.2718.6
Anubis2171%1.0217.8
Dust21250%1.1417.8
Nuke1040%0.8816.8
Overpass771%1.1819.6
Ancient520%1.1218.8

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.

24.2%Headshot accuracy
33.2%Accuracy (enemy spotted)
37.4%Spray accuracy
78.3%Counter-strafing
7.3°Preaim
489msReaction time
70.3%T opening success
52.9%CT opening success
0.56Enemies flashed / flash
8.0%Flash assists
6.94HE damage / grenade
4.37Flashes / match

Recommended for you

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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient15–150.0519%1 Oct →
anubis5–13-0.0118%1 Oct →
inferno0–13-0.0513%1 Oct →
ancient6–13-0.0132%1 Oct →
dust213–4-0.0339%1 Oct →
anubis16–12-0.0220%1 Oct →
nuke13–7-0.0117%29 Sept →
ancient10–13-0.0831%29 Sept →
mirage5–0-0.090%29 Sept →
cache1–13-0.0775%29 Sept →
anubis9–13-0.0319%28 Sept →
cache13–50.0922%28 Sept →
ancient8–13-0.0321%28 Sept →
mirage13–5-0.0725%27 Sept →
cache13–2-0.0432%27 Sept →
anubis13–8-0.0124%27 Sept →
mirage4–130.0330%27 Sept →
cache6–13-0.0134%27 Sept →
cache4–130.0223%27 Sept →
mirage13–10-0.0433%27 Sept →
cache12–120.0016%27 Sept →
ancient11–13-0.0226%27 Sept →
mirage13–10-0.0116%27 Sept →
anubis8–13-0.0416%26 Sept →
cache0–13-0.050%26 Sept →
cache10–130.0119%26 Sept →
nuke8–13-0.0229%26 Sept →
mirage3–13-0.0324%26 Sept →
mirage13–30.0946%26 Sept →
ancient13–16-0.0515%25 Sept →
anubis16–130.0527%25 Sept →
boulder12–12-0.0029%25 Sept →
dust21–13-0.0328%25 Sept →
nuke13–40.1626%25 Sept →
ancient6–130.0522%25 Sept →
train13–110.0341%25 Sept →
inferno3–13-0.0532%25 Sept →
mirage3–13-0.0142%25 Sept →
inferno13–7-0.0433%25 Sept →
mirage6–13-0.1040%25 Sept →
cache5–13-0.0420%25 Sept →
mirage1–13-0.0829%25 Sept →
inferno8–130.0231%24 Sept →
cache10–13-0.0519%24 Sept →
cache13–11-0.0320%24 Sept →
cache8–13-0.0620%24 Sept →
cache13–11-0.0025%23 Sept →
anubis11–13-0.0321%23 Sept →
vertigo13–6-0.0329%23 Sept →
vertigo7–130.0823%23 Sept →
inferno4–13-0.0311%22 Sept →
cache13–70.0230%22 Sept →
anubis13–100.0423%22 Sept →
mirage7–13-0.0323%18 Sept →
mirage13–40.0025%18 Sept →
train6–130.0424%18 Sept →
office9–130.0146%18 Sept →
dust20–13-0.0335%18 Sept →
train13–100.0229%18 Sept →
inferno8–130.0631%13 Sept →
mirage10–13-0.0126%13 Sept →
cache7–130.0134%13 Sept →
dust214–16-0.0328%11 Sept →
ancient11–130.0224%11 Sept →
inferno13–80.0331%11 Sept →
dust213–60.0148%11 Sept →
anubis0–13-0.039%8 Sept →
cache13–10-0.0525%8 Sept →
ancient9–13-0.0320%7 Sept →
inferno13–9-0.0226%7 Sept →
inferno13–100.0127%7 Sept →
mirage5–13-0.0817%7 Sept →
cache13–9-0.0312%7 Sept →
ancient13–70.0419%7 Sept →
cache12–120.0121%7 Sept →
inferno12–120.0126%5 Sept →
anubis13–40.0321%5 Sept →
dust213–7-0.0525%5 Sept →
inferno9–130.0118%3 Sept →
inferno13–5-0.0121%3 Sept →
vertigo12–12-0.0117%31 Aug →
dust213–60.0046%31 Aug →
dust22–130.0541%30 Aug →
cache12–120.0119%30 Aug →
cache15–150.0422%29 Aug →
cache7–13-0.0026%29 Aug →
inferno13–60.0323%29 Aug →
ancient11–13-0.0321%28 Aug →
mirage13–30.0331%28 Aug →
cache16–140.0230%28 Aug →
inferno13–30.0829%28 Aug →
cache4–130.0030%25 Aug →
cache13–7-0.0121%25 Aug →
cache13–50.1325%24 Aug →
inferno13–40.0629%24 Aug →
ancient13–8-0.0328%24 Aug →
anubis16–13-0.0420%24 Aug →
nuke16–13-0.0517%23 Aug →
cache5–13-0.0732%22 Aug →
mirage13–11-0.0123%22 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.