Hairy

Hairy — CS2 Stats

76561198016396718[U:1:56130990]Steam profile ↗✓ No bans

655Tracked matches46%Win rate2020Tracked since
CSDB Rating2.8 LearningPositional Player
Premier CS Rating11,216Blue band · top ~48.5% of ranked players (population est.)
FaceitLevel 6 · 1,260 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Nov 2025 (331 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: 11,216 -1,327 22 Feb – 20 Nov · 20 days played
6,02212,686peak 12,68622 Feb20 Nov
12,940Peak Premier in tracked matches
1,260Highest Faceit ELO seen on CSDB
32Days played since 2025-02-22

Faceit ELO

  • At peak — 1,260
  • Next: Level 7 at 1,351 — 91 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

Premier CS Rating

  • 1,470 below peak (12,686)
  • +206 over 30 days · steady
  • Next: Purple band at 15,000 — 3,784 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.

Share this profile

CSDB.GGHairyFACEITLevel 6 · 1,260 ELOSTANDINGTop 54.0% of rankedPREMIER11,216 · Blue bandPEAK ELO1,260csdb.gg/stats

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Performance scores

Aim37
Positioning28
Utility19

0–100 skill scores via Leetify.

Recent form

COLD41–57–2Last 10041%Win rateLLTWLLLLLW

Last 10 vs previous 10: −40pp win rate · −0.03 avg rating · −2.0pp headshot accuracy · +31ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 21%
  • Avg reaction 678ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 695ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 680ms

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 (+1.6 against its own average).

Aim3.7
Utility1.9
Positioning2.8
Opening Duels0.0
Clutch0.0

Strong CT-side openerLimited 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 88% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 35% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 677ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.7
Positioning2.8
Utility1.9
Mechanics3.9
Opening Duels0.6
Win Impact3.8

Composite 2.8/10 (Learning), 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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time682ms+35ms
first ⅓ avg 648ms → last ⅓ avg 682ms
Headshot accuracy16.0%+0.3%
first ⅓ avg 15.7% → last ⅓ avg 16.0%

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.

Personal bests

0.10Best match rating · 13–6 · mirage, 13 Jul →
32%Best headshot accuracy · 13–6 · mirage, 13 Jul →
469msFastest reaction time · 7–13 · nuke, 26 Jul →
13–1Biggest win · ancient, 26 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
3–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

overpassBest map · 80% over 10dust2Weakest map · 25% over 12
MapGradePlayedRecordWin rateAvg rating
mirageD195–1426%-0.03
ancientA1810–856%-0.01
infernoA148–657%-0.02
nukeD134–931%-0.03
dust2D123–925%-0.06
overpassS108–280%-0.00
anubisC73–443%-0.03
train—40–40%-0.02
grail—20–20%-0.10
jura—10–10%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
0%Win rate
0.74Avg K/D
77.6ADR
52%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.7915.0
Ancient10%0.6911.0

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.

15.6%Headshot accuracy
30.4%Accuracy (enemy spotted)
32.8%Spray accuracy
67.5%Counter-strafing
10.4°Preaim
677msReaction time
17.8%T opening success
35.0%CT opening success
0.39Enemies flashed / flash
2.8%Flash assists
4.35HE damage / grenade
1.90Flashes / 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. 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 0.3943 — below the 0.5 mark we flag

    Grenade Lineups →
  2. 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 17.8481% — 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.

25% win rate across 12 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
anubis8–13-0.1324%25 Jul →
nuke1–13-0.0811%25 Jul →
dust212–12-0.0617%25 Jul →
overpass13–60.0529%20 Nov →
dust29–13-0.0522%15 Nov →
nuke7–13-0.1110%15 Nov →
ancient9–13-0.0012%15 Nov →
mirage6–13-0.0511%13 Nov →
nuke7–13-0.0413%8 Nov →
overpass13–10-0.0813%8 Nov →
ancient13–80.0113%8 Nov →
mirage4–13-0.0427%8 Nov →
train8–13-0.0523%7 Nov →
inferno10–00.0123%3 Nov →
nuke13–60.0316%2 Nov →
inferno2–13-0.0519%1 Nov →
overpass13–8-0.0219%1 Nov →
mirage13–9-0.0415%1 Nov →
mirage7–13-0.0418%25 Oct →
nuke13–6-0.069%25 Oct →
train15–15-0.0521%25 Oct →
dust27–13-0.0816%25 Oct →
overpass13–5-0.059%25 Oct →
ancient16–13-0.107%25 Oct →
ancient13–11-0.0217%25 Oct →
mirage8–13-0.037%24 Oct →
overpass10–13-0.0113%24 Oct →
dust213–70.0415%24 Oct →
nuke9–13-0.008%24 Oct →
overpass13–7-0.0319%24 Oct →
mirage13–10-0.0511%24 Oct →
mirage8–13-0.0229%23 Oct →
inferno13–7-0.0014%3 Aug →
inferno5–13-0.0313%2 Aug →
inferno2–13-0.0622%2 Aug →
grail2–13-0.087%2 Aug →
jura4–130.0127%30 Jul →
mirage7–13-0.0920%27 Jul →
dust210–13-0.0721%27 Jul →
inferno12–16-0.1024%27 Jul →
mirage7–13-0.0814%27 Jul →
overpass5–13-0.0715%27 Jul →
ancient14–16-0.026%27 Jul →
ancient6–13-0.0511%27 Jul →
mirage5–13-0.049%27 Jul →
nuke7–13-0.0321%26 Jul →
ancient13–10.1023%26 Jul →
ancient13–90.0019%26 Jul →
overpass13–70.1022%26 Jul →
mirage11–130.0316%26 Jul →
overpass13–90.0322%26 Jul →
overpass13–90.0417%26 Jul →
anubis13–8-0.0016%15 Jul →
inferno13–70.0121%13 Jul →
mirage13–60.1032%13 Jul →
train12–160.0114%12 Jul →
dust22–9-0.1320%12 Jul →
inferno7–130.0514%12 Jul →
inferno10–13-0.0418%12 Jul →
ancient11–130.0714%12 Jul →
dust213–7-0.0322%6 Jul →
inferno13–8-0.0422%6 Jul →
ancient13–9-0.0320%6 Jul →
nuke10–13-0.0018%6 Jul →
anubis13–16-0.0524%5 Jul →
mirage5–130.0213%5 Jul →
nuke10–13-0.0515%5 Jul →
dust28–13-0.085%5 Jul →
mirage13–5-0.0314%5 Jul →
inferno13–9-0.0319%5 Jul →
ancient7–13-0.0613%5 Jul →
nuke11–40.0229%5 Jul →
ancient13–50.0830%4 Jul →
dust24–13-0.1019%4 Jul →
nuke8–13-0.0311%4 Jul →
inferno13–90.0320%4 Jul →
ancient16–14-0.0516%4 Jul →
dust26–13-0.0713%4 Jul →
anubis13–100.0413%4 Jul →
ancient10–13-0.0016%4 Jul →
ancient16–14-0.0224%4 Jul →
mirage13–40.0231%4 Jul →
dust25–13-0.0419%4 Jul →
ancient13–10-0.009%4 Jul →
mirage8–13-0.0612%4 Jul →
inferno13–6-0.037%30 Jun →
dust213–5-0.0214%30 Jun →
mirage6–13-0.0516%29 Jun →
ancient8–13-0.0811%29 Jun →
train13–160.0214%8 Jun →
mirage12–16-0.0313%8 Jun →
nuke13–6-0.055%7 Jun →
anubis11–13-0.0218%10 May →
grail5–13-0.1122%10 May →
anubis13–90.0211%5 May →
ancient5–13-0.0711%4 May →
nuke9–13-0.0213%3 May →
mirage11–13-0.0211%3 May →
inferno13–5-0.0428%3 May →
anubis14–16-0.0312%22 Feb →

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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