Khaki

Khaki — CS2 Stats

US76561197992222317[U:1:31956589]Steam profile ↗✓ No bans

559Tracked matches33%Win rate2021Tracked since
586Hours in CS
CSDB Rating3.3 LearningPositional Player
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (33 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 559 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 8,541 +23 13 May – 3 Jul · 17 days played
8,4199,629peak 9,62913 May3 Jul
9,629Peak Premier in tracked matches
902Highest Faceit ELO seen on CSDB
34Days played since 2026-04-09

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Compare periods

Last 30 days vs previous 30

No matches recorded between 18 Sep 2026 and 21 Oct 2026.

Measured 18 Sep 2026 → 21 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 4 among CSDB-tracked players (n=14,312), 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 4 medianLevel 5 medianvs Level 5
Headshot rate36.1%42.7%43.7%7.6% short
Shot accuracy10.0%11.2%12.0%2.0% short
Kill/death ratio0.740.991.020.28 short
Match win rate39.2%43.9%44.7%5.5% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKhakiFACEITLevel 4STANDINGTop 81.0% of rankedPEAK ELO902csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim41
Positioning47
Utility24

0–100 skill scores via Leetify.

Recent form

STEADY36–62–2Last 10036%Win rateWWLLLLWLLW

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +0.1pp headshot accuracy · −19ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 628ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 658ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 667ms

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 (+2.7 against its own average).

Aim4.1
Utility2.4
Positioning4.7
Opening Duels1.0
Clutch0.0

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

iM

Plays most like iM 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 664ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.1
Positioning4.7
Utility2.4
Mechanics4.2
Opening Duels1.1
Win Impact0.0

Composite 3.3/10 (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-0.01+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time664ms−6ms
first ⅓ avg 670ms → last ⅓ avg 664ms
Headshot accuracy14.8%−0.2%
first ⅓ avg 15.0% → last ⅓ avg 14.8%

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

0.12Best match rating · 13–6 · nuke, 19 Jun →
34%Best headshot accuracy · 2–13 · ancient, 28 May →
422msFastest reaction time · 1–7 · ancient, 15 Jun →
13–1Biggest win · cache, 3 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
1–7In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 50% over 6anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageC238–1535%-0.01
nukeC177–1041%0.00
dust2D155–1033%-0.02
ancientD133–1023%-0.04
infernoB136–746%-0.01
cacheC83–538%-0.04
overpassB63–350%-0.02
anubisD51–420%-0.01

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,763Lifetime kills
0.74K/D
1,481Matches
39.2%Match win rate
36.1%Headshot %
10.0%Shot accuracy
1,939MVPs
586Hours (in match)
1,679Bombs planted
288Bombs defused

Most-used weapons

Lifetime map wins

2,085nuke
1,908inferno
1,849dust2
713vertigo
555train
299office
167cbble
157italy

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

Faceit stats

Combat

6Matches
17%Win rate
0.38Avg K/D
44.3ADR
24%Headshot %

Clutches & streaks

0%1v1 clutch win
20%1v2 clutch win
1Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno20%0.335.5
Ancient10%0.294.0
Nuke1100%0.509.0
Anubis10%0.377.0
Dust210%0.478.0

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.

14.8%Headshot accuracy
33.0%Accuracy (enemy spotted)
30.5%Spray accuracy
68.9%Counter-strafing
10.3°Preaim
664msReaction time
28.6%T opening success
38.7%CT opening success
0.45Enemies flashed / flash
1.3%Flash assists
12.49HE damage / grenade
1.91Flashes / 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 14.7633% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4458 — below the 0.5 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 28.5691% — below the 40% mark we flag

Spend your practice time on Anubis

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–9-0.0415%1 Sept →
ancient13–10-0.0312%20 Aug →
mirage14–16-0.0619%19 Aug →
nuke5–13-0.1226%19 Aug →
nuke8–130.0511%28 Jul →
mirage1–130.0515%26 Jul →
inferno13–80.0119%19 Jul →
inferno6–13-0.0519%15 Jul →
inferno9–130.0011%9 Jul →
mirage13–70.0117%4 Jul →
cache8–13-0.0521%3 Jul →
cache13–1-0.080%3 Jul →
dust25–130.1022%3 Jul →
ancient7–13-0.0321%3 Jul →
dust213–7-0.0222%3 Jul →
nuke10–130.0111%3 Jul →
cache13–90.0324%29 Jun →
mirage9–13-0.0614%23 Jun →
dust29–13-0.108%23 Jun →
ancient10–13-0.0319%23 Jun →
ancient8–13-0.0310%23 Jun →
mirage4–13-0.0412%23 Jun →
inferno6–13-0.0410%23 Jun →
dust24–13-0.0111%23 Jun →
mirage13–9-0.0315%23 Jun →
overpass13–10-0.025%20 Jun →
inferno3–13-0.0514%20 Jun →
nuke13–60.1221%19 Jun →
dust28–13-0.059%17 Jun →
mirage11–130.0213%17 Jun →
ancient0–7-0.0420%17 Jun →
dust213–10.0613%17 Jun →
inferno9–10.0315%17 Jun →
dust213–9-0.0015%17 Jun →
mirage13–70.0124%16 Jun →
nuke13–20.0412%16 Jun →
mirage13–6-0.0218%16 Jun →
mirage9–130.0114%16 Jun →
nuke3–13-0.0314%16 Jun →
anubis9–13-0.077%15 Jun →
anubis12–16-0.0517%15 Jun →
mirage15–150.0323%15 Jun →
dust213–60.0520%15 Jun →
ancient1–7-0.040%15 Jun →
mirage13–40.0820%12 Jun →
anubis13–50.056%12 Jun →
dust210–13-0.0422%12 Jun →
mirage6–13-0.0412%12 Jun →
ancient7–13-0.0418%9 Jun →
cache3–13-0.0719%9 Jun →
cache9–13-0.083%8 Jun →
overpass13–60.0118%8 Jun →
mirage10–130.029%5 Jun →
ancient6–130.018%5 Jun →
mirage6–13-0.0513%4 Jun →
nuke11–13-0.044%4 Jun →
ancient4–13-0.092%4 Jun →
mirage13–100.0711%2 Jun →
nuke4–13-0.0312%2 Jun →
inferno13–9-0.018%1 Jun →
dust213–16-0.068%1 Jun →
mirage13–5-0.0311%1 Jun →
nuke13–20.0314%1 Jun →
nuke11–130.008%1 Jun →
inferno13–3-0.025%29 May →
nuke13–20.006%29 May →
nuke7–130.0011%29 May →
anubis10–130.0223%29 May →
inferno9–130.0311%29 May →
ancient2–13-0.0434%28 May →
inferno11–130.019%27 May →
ancient13–8-0.013%27 May →
dust23–13-0.0625%21 May →
mirage6–13-0.0416%21 May →
inferno13–110.018%21 May →
ancient7–13-0.1017%20 May →
mirage10–13-0.0713%20 May →
dust215–15-0.0318%20 May →
dust213–60.0424%20 May →
nuke13–50.0111%20 May →
dust211–13-0.0717%20 May →
nuke13–90.0415%19 May →
overpass7–13-0.0110%19 May →
cache8–13-0.0114%19 May →
mirage4–13-0.0627%19 May →
inferno7–13-0.1217%19 May →
nuke9–13-0.0212%18 May →
mirage7–13-0.056%18 May →
overpass13–7-0.0418%18 May →
overpass2–13-0.0214%17 May →
dust22–13-0.046%17 May →
ancient13–6-0.0914%16 May →
nuke8–13-0.0314%13 May →
mirage14–16-0.0116%13 May →
anubis6–13-0.0215%13 May →
mirage13–8-0.0727%13 May →
inferno13–90.0018%13 May →
overpass10–13-0.0411%13 May →
nuke13–90.059%13 May →
cache7–130.004%13 May →

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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