Hairy Cilantro

Hairy Cilantro — CS2 Stats

76561198007075142[U:1:46809414]Steam profile ↗✓ No bans

1,155Tracked matches50%Win rate2020Tracked since
1,029Hours in CS
CSDB Rating4.3 DevelopingSupport
Premier CS Rating12,132Blue band · top ~43.6% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 May 2026 (175 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,132 +2,482 3 Feb – 14 May · 30 days played
9,65013,560peak 13,5603 Feb14 May
13,631Peak Premier in tracked matches
31Days played since 2026-02-02

Premier CS Rating

  • 1,428 below peak (13,560)
  • +1,102 over 30 days · improving
  • +2,256 over 90 days
  • Next: Purple band at 15,000 — 2,868 to go
  • Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate35.9%41.8%42.7%6.9% short
Shot accuracy12.7%12.2%11.2%above
Kill/death ratio0.970.980.99meets
Match win rate41.3%43.3%43.9%2.6% short

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGHairy CilantroFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER12,132 · Blue bandcsdb.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

Aim35
Positioning53
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY49–49–2Last 10049%Win rateWLLWLLLLWW

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · +2.4pp headshot accuracy · +26ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 552ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 607ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 594ms

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: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim3.5
Utility6.1
Positioning5.3
Opening Duels1.8
Clutch4.2

Strong T-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

iM

Plays most like iM 63% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Aim3.5
Positioning5.3
Utility6.1
Mechanics5.5
Opening Duels1.5
Win Impact5.0

Composite 4.3/10 (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-0.00−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time654ms−5ms
first ⅓ avg 659ms → last ⅓ avg 654ms
Headshot accuracy11.8%−0.8%
first ⅓ avg 12.6% → last ⅓ avg 11.8%

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

0.16Best match rating · 13–3 · dust2, 7 Mar →
25%Best headshot accuracy · 3–2 · anubis, 26 Apr →
344msFastest reaction time · 3–2 · anubis, 26 Apr →
13–0Biggest win · nuke, 25 Mar →

Across the last 100 tracked matches.

Highlights

8Longest win streak
6–9In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 71% over 24ancientWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
dust2A2514–1156%0.01
nukeS2417–771%0.03
ancientD164–1225%-0.01
infernoC135–838%-0.02
anubisB105–550%0.01
overpassC83–538%-0.02
mirage—41–325%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

43,909Lifetime kills
0.97K/D
2,436Matches
41.3%Match win rate
35.9%Headshot %
12.7%Shot accuracy · Top 50% of Level 3 players
4,851MVPs
1,029Hours (in match)
3,790Bombs planted
639Bombs defused

Most-used weapons

AK-4712,373
AWP3,193
P901,334
AUG1,143
MP9977

Lifetime map wins

6,421dust2
5,228nuke
3,757inferno
1,115train
463vertigo
117office
70lake
49bank

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

Faceit stats

Combat

288Matches
49%Win rate
1.01Avg K/D
72.6ADR
32%Headshot %

Clutches & streaks

41%1v1 clutch win
38%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21850%0.9612.8
Nuke944%1.0114.8
Overpass933%1.0215.1
Inferno888%1.2013.3
Ancient667%0.8815.7
Mirage520%0.7710.6
Train367%0.7717.0

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.

11.8%Headshot accuracy
34.4%Accuracy (enemy spotted)
31.9%Spray accuracy
74.9%Counter-strafing
13.3°Preaim
658msReaction time
42.1%T opening success
27.2%CT opening success
0.58Enemies flashed / flash
5.7%Flash assists
9.38HE damage / grenade
11.03Flashes / 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 13.3145° — above the 12° mark we flag

    Aim Training →
  2. 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 11.7658% — below the 15% mark we flag

    Aim Training →
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.

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–5-0.0412%14 May →
anubis3–20.0825%26 Apr →
overpass2–13-0.0611%24 Apr →
nuke13–110.1011%24 Apr →
nuke5–130.0014%24 Apr →
dust26–13-0.0320%24 Apr →
ancient6–13-0.0814%23 Apr →
dust26–13-0.0715%23 Apr →
dust213–10-0.0115%20 Apr →
ancient13–50.035%20 Apr →
dust213–60.077%20 Apr →
mirage13–8-0.029%20 Apr →
nuke13–100.0414%15 Apr →
nuke13–30.0910%15 Apr →
nuke13–40.078%15 Apr →
nuke13–60.0815%13 Apr →
dust28–13-0.0612%13 Apr →
dust213–5-0.0418%12 Apr →
inferno13–6-0.0213%12 Apr →
anubis11–130.0012%12 Apr →
ancient11–130.017%12 Apr →
anubis13–50.0413%12 Apr →
nuke7–13-0.0312%11 Apr →
overpass11–13-0.0411%11 Apr →
ancient0–13-0.1110%11 Apr →
ancient10–130.0011%11 Apr →
anubis13–16-0.0216%11 Apr →
dust213–11-0.015%11 Apr →
nuke13–8-0.0314%10 Apr →
inferno8–13-0.066%10 Apr →
ancient8–130.017%10 Apr →
overpass13–60.0014%10 Apr →
inferno15–15-0.036%9 Apr →
dust213–50.106%9 Apr →
nuke13–60.0818%9 Apr →
dust213–5-0.064%9 Apr →
ancient10–13-0.087%8 Apr →
anubis10–13-0.045%8 Apr →
dust28–13-0.014%8 Apr →
ancient13–4-0.0115%8 Apr →
dust20–3-0.020%8 Apr →
overpass11–13-0.0112%7 Apr →
ancient4–13-0.078%5 Apr →
dust213–40.0017%5 Apr →
nuke6–130.0010%5 Apr →
anubis13–11-0.0216%5 Apr →
nuke4–13-0.045%5 Apr →
nuke10–13-0.067%5 Apr →
ancient13–60.044%5 Apr →
nuke14–160.0312%4 Apr →
dust27–13-0.066%4 Apr →
overpass13–90.0321%4 Apr →
mirage9–13-0.009%4 Apr →
nuke13–11-0.0013%4 Apr →
dust27–13-0.025%4 Apr →
ancient11–130.0111%31 Mar →
dust215–15-0.0015%31 Mar →
mirage11–13-0.0415%31 Mar →
inferno7–13-0.0211%29 Mar →
ancient10–130.0714%29 Mar →
inferno4–13-0.0314%29 Mar →
dust26–130.0110%29 Mar →
dust213–20.0811%29 Mar →
inferno10–13-0.0111%28 Mar →
inferno13–7-0.0111%28 Mar →
dust210–130.0118%25 Mar →
inferno5–13-0.038%25 Mar →
anubis13–20.1021%25 Mar →
nuke13–00.1214%25 Mar →
nuke13–110.0215%25 Mar →
dust213–30.0320%21 Mar →
inferno8–13-0.098%21 Mar →
inferno13–50.0119%20 Mar →
nuke13–40.0717%20 Mar →
anubis13–90.1011%16 Mar →
dust213–100.028%16 Mar →
anubis11–13-0.0711%13 Mar →
anubis13–6-0.0610%13 Mar →
ancient4–13-0.1018%13 Mar →
mirage2–13-0.1110%13 Mar →
dust25–13-0.0823%12 Mar →
overpass9–13-0.038%12 Mar →
dust213–20.0218%11 Mar →
ancient13–100.048%11 Mar →
ancient8–130.028%8 Mar →
overpass13–5-0.028%8 Mar →
nuke13–100.0513%7 Mar →
nuke13–10-0.0210%7 Mar →
dust213–10.0611%7 Mar →
overpass8–13-0.027%7 Mar →
nuke13–60.0414%7 Mar →
inferno4–13-0.0410%7 Mar →
dust213–30.1617%7 Mar →
nuke5–13-0.0611%11 Feb →
nuke13–11-0.0214%7 Feb →
inferno13–100.0512%3 Feb →
nuke13–20.0416%3 Feb →
dust213–50.084%3 Feb →
nuke13–60.0713%2 Feb →
ancient6–130.0111%2 Feb →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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