Airey

Airey — CS2 Stats

76561198014616202[U:1:54350474]Steam profile ↗✓ No bans

1,083Tracked matches55%Win rate2020Tracked since
1,558Hours in CS2Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
Premier CS Rating15,547Purple band · top ~26.2% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Nov 2026 (6 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: 15,547 -898 4 Jun – 8 Nov · 39 days played
13,74116,619peak 16,6194 Jun8 Nov
16,878Peak Premier in tracked matches
55Days played since 2026-06-04

Premier CS Rating

  • 1,072 below peak (16,619)
  • +424 over 30 days · improving
  • +548 over 90 days
  • Next: Pink band at 20,000 — 4,453 to go
  • Reached: Purple band · 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate36.4%44.4%46.9%10.5% short
Shot accuracy10.3%11.9%13.0%2.7% short
Kill/death ratio1.131.031.08above
Match win rate45.2%45.2%46.7%1.5% short

This profile matches the typical Pink band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGAireyPREMIER15,547 · Purple bandcsdb.gg/stats

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Performance scores

Aim76
Positioning63
Utility42

0–100 skill scores via Leetify.

Recent form

STEADY48–51–1Last 10048%Win rateLLWWWWLLLW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +2.2pp headshot accuracy · +67ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 606ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 580ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 547ms

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).

Aim7.6
Utility4.2
Positioning6.3
Opening Duels3.7

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

donk

Plays most like donk 88% playstyle similarity

Most alike: utility contribution, positioning profile.

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 52% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.6
Positioning6.3
Utility4.2
Mechanics5.9
Opening Duels3.3
Win Impact6.7

Composite 6.1/10 (Solid), 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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time542ms−24ms
first ⅓ avg 566ms → last ⅓ avg 542ms
Headshot accuracy19.6%+2.9%
first ⅓ avg 16.7% → last ⅓ avg 19.6%

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 · 13–10 · nuke, 11 Aug →
35%Best headshot accuracy · 13–2 · inferno, 29 Oct →
391msFastest reaction time · 13–4 · anubis, 30 Sept →
13–0Biggest win · inferno, 5 Jun →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L2Current streak
6–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 80% over 5nukeWeakest map · 38% over 26
MapGradePlayedRecordWin rateAvg rating
mirageA2917–1259%-0.00
nukeC2610–1638%0.02
anubisA1810–856%0.00
infernoC135–838%0.01
cacheS54–180%0.01
ancient—42–250%-0.00
dust2—30–30%-0.05
office—20–20%-0.03

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (38% over 26). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

45,021Lifetime kills
1.13K/D · Top 50% of Purple band
2,297Matches
45.2%Match win rate
36.4%Headshot %
10.3%Shot accuracy
5,157MVPs
945Hours (in match)
3,883Bombs planted
628Bombs defused

Most-used weapons

Lifetime map wins

2,589inferno
2,476office
2,439nuke
1,041dust2
674train
241vertigo
131cbble
43safehouse

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

Skill profile

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

18.8%Headshot accuracy
36.4%Accuracy (enemy spotted)
41.9%Spray accuracy
76.5%Counter-strafing
10.5°Preaim
531msReaction time
34.4%T opening success
52.2%CT opening success
0.34Enemies flashed / flash
4.8%Flash assists
6.43HE damage / grenade
6.18Flashes / 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 0.3373 — 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 34.3813% — below the 40% mark we flag

Spend your practice time on Nuke

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

38% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.0812%8 Nov →
inferno5–13-0.0221%3 Nov →
inferno13–20.0735%29 Oct →
mirage13–10.0326%21 Oct →
nuke13–11-0.0021%8 Oct →
ancient13–110.079%6 Oct →
dust23–13-0.0221%6 Oct →
anubis2–13-0.0525%2 Oct →
nuke6–130.1220%2 Oct →
mirage13–100.0016%30 Sept →
anubis13–4-0.0313%30 Sept →
mirage13–90.0224%20 Sept →
mirage13–80.0317%15 Sept →
nuke13–6-0.0219%15 Sept →
nuke13–100.0527%14 Sept →
mirage6–13-0.0524%10 Sept →
anubis10–130.029%8 Sept →
mirage13–90.0115%8 Sept →
nuke5–13-0.0418%7 Sept →
anubis11–6-0.0121%7 Sept →
inferno10–130.0223%2 Sept →
anubis13–11-0.0123%2 Sept →
cache13–40.0421%28 Aug →
anubis13–100.1014%27 Aug →
mirage10–13-0.0423%26 Aug →
nuke12–120.0217%23 Aug →
nuke7–13-0.0612%12 Aug →
mirage8–13-0.0215%11 Aug →
inferno14–160.0317%11 Aug →
nuke13–100.1217%11 Aug →
mirage13–110.0330%10 Aug →
nuke8–130.0326%10 Aug →
inferno7–130.0318%9 Aug →
anubis0–13-0.0414%9 Aug →
nuke9–130.0014%5 Aug →
nuke6–13-0.0624%5 Aug →
mirage13–3-0.0219%5 Aug →
cache13–11-0.0122%4 Aug →
anubis13–30.0413%4 Aug →
mirage13–16-0.0417%4 Aug →
mirage11–130.0322%2 Aug →
anubis6–13-0.0110%2 Aug →
nuke8–13-0.0118%2 Aug →
nuke13–40.0013%2 Aug →
inferno6–130.0124%29 Jul →
inferno13–7-0.0421%29 Jul →
nuke13–80.0216%27 Jul →
mirage13–60.0114%26 Jul →
mirage13–90.0117%26 Jul →
cache13–70.0814%24 Jul →
mirage13–100.0510%22 Jul →
inferno13–110.0221%17 Jul →
dust29–13-0.0520%17 Jul →
inferno7–13-0.0122%15 Jul →
nuke11–130.0133%15 Jul →
mirage11–13-0.0033%15 Jul →
anubis13–8-0.0322%14 Jul →
cache13–7-0.0514%12 Jul →
nuke9–13-0.0418%11 Jul →
nuke9–130.0422%5 Jul →
office1–13-0.0430%5 Jul →
ancient14–160.0422%3 Jul →
nuke14–16-0.0519%3 Jul →
nuke8–13-0.0111%1 Jul →
anubis6–13-0.0016%1 Jul →
ancient13–100.0115%30 Jun →
anubis13–90.0221%29 Jun →
mirage10–13-0.0113%28 Jun →
inferno13–16-0.0511%28 Jun →
inferno8–13-0.0126%27 Jun →
anubis13–90.1019%19 Jun →
nuke8–130.0927%19 Jun →
anubis7–13-0.058%18 Jun →
mirage13–10-0.0115%18 Jun →
inferno13–70.0419%17 Jun →
ancient0–7-0.120%17 Jun →
mirage13–80.1215%17 Jun →
nuke13–10.0818%16 Jun →
nuke13–6-0.0323%16 Jun →
anubis13–4-0.0315%16 Jun →
nuke13–20.0517%16 Jun →
mirage13–30.0214%15 Jun →
nuke6–130.0521%15 Jun →
mirage16–13-0.0522%15 Jun →
mirage10–130.0120%15 Jun →
mirage13–160.0019%11 Jun →
office8–13-0.0216%11 Jun →
anubis13–90.0610%10 Jun →
cache4–13-0.0124%10 Jun →
anubis10–130.0211%9 Jun →
mirage10–13-0.0217%9 Jun →
mirage13–20.0124%8 Jun →
anubis9–13-0.0515%8 Jun →
nuke10–130.0413%7 Jun →
nuke13–90.0312%5 Jun →
mirage5–13-0.0811%5 Jun →
inferno13–00.0024%5 Jun →
mirage14–16-0.0614%5 Jun →
mirage13–8-0.0025%4 Jun →
mirage13–7-0.0114%4 Jun →

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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