AIIR

AIIR — CS2 Stats

BA76561198154009281[U:1:193743553]Steam profile ↗✓ No bans

457Tracked matches59%Win rate2020Tracked since
3,335Hours in CS13Hrs last 2 wks
CSDB Rating6.9 SolidClutch Specialist
Premier CS Rating20,986Top 50% of 204,150 CSDB-tracked playersPink band · top ~7.4% of ranked players (population est.)
CSDB Leaderboard#67306 of 251234 tracked
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (5 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: 20,986 +6,255 27 May – 6 Oct · 24 days played
13,87620,986peak 20,98627 May6 Oct
20,986Peak Premier in tracked matches
49Days played since 2025-05-27

Premier CS Rating

  • At peak — 20,986
  • Next: Red band at 25,000 — 4,014 to go
  • Reached: Pink band · 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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate41.8%46.9%49.2%7.4% short
Shot accuracy15.8%13.0%13.4%above
Kill/death ratio0.991.081.120.13 short
Match win rate42.7%46.7%48.5%5.8% short

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

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

Share this profile

CSDB.GGAIIRPREMIER20,986 · Pink bandcsdb.gg/stats

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Performance scores

Aim89
Positioning51
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY58–39–3Last 10058%Win rateWWWLTLWWWL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −3.4pp headshot accuracy · −54ms 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

  • 3–1–1 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 28%
  • Avg reaction 419ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 27%
  • Avg reaction 428ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 29%
  • Avg reaction 455ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.6 against its own average).

Aim8.9
Utility4.6
Positioning5.1
Opening Duels2.1
Clutch6.0

Sharp aimer

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

sh1ro

Plays most like sh1ro 91% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning 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

Strengths

Aim. Aim score of 89 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 38 points — deaths here waste a strong aim profile.

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 56% on T to 31% 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

Aim8.9
Positioning5.1
Utility4.6
Mechanics8.3
Opening Duels3.4
Win Impact7.9

Composite 6.9/10 (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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time527ms−169ms
first ⅓ avg 695ms → last ⅓ avg 527ms
Headshot accuracy26.9%+3.6%
first ⅓ avg 23.3% → last ⅓ avg 26.9%

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

0.18Best match rating · 13–1 · mirage, 2 Oct →
52%Best headshot accuracy · 13–11 · cache, 25 Aug →
297msFastest reaction time · 7–13 · ancient, 2 Oct →
13–1Biggest win · mirage, 2 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W3Current streak
5–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 71% over 7ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A3019–1163%0.03
mirageA2918–1162%0.00
nukeD93–633%0.00
anubisS75–271%0.00
ancientD72–529%0.02
trainS75–271%0.00
infernoD62–433%0.04
cache—22–0100%0.01
vertigo—10–10%0.02
office—11–0100%-0.00
overpass—11–0100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,004Lifetime kills
0.99K/D
3,130Matches
42.7%Match win rate
41.8%Headshot %
15.8%Shot accuracy · Top 50% of Pink band
6,716MVPs
1,214Hours (in match)
1,493Bombs planted
710Bombs defused

Most-used weapons

AK-4715,604
AWP8,629
SSG 081,618
Knife1,285
P901,256
P250872

Lifetime map wins

10,133dust2
1,533inferno
736nuke
448train
352cbble
338vertigo
309lake
150safehouse

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

Faceit stats

Combat

43Matches
42%Win rate
1.06Avg K/D
79.1ADR
45%Headshot %

Clutches & streaks

50%1v1 clutch win
20%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage367%1.1413.0
Dust210%0.8012.0

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.

26.8%Headshot accuracy
33.9%Accuracy (enemy spotted)
34.2%Spray accuracy
87.4%Counter-strafing
7.9°Preaim
507msReaction time
55.7%T opening success
31.3%CT opening success
0.50Enemies flashed / flash
5.7%Flash assists
8.40HE damage / grenade
8.55Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 31.263% — below the 40% mark we flag

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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–80.1227%6 Oct →
dust213–11-0.0133%6 Oct →
inferno13–40.0626%6 Oct →
mirage8–130.0228%4 Oct →
inferno15–150.1222%4 Oct →
dust23–130.0329%4 Oct →
dust213–40.1126%4 Oct →
anubis13–60.0319%2 Oct →
cache13–90.0125%2 Oct →
inferno10–130.0332%2 Oct →
dust210–130.1322%2 Oct →
dust213–8-0.0024%2 Oct →
mirage13–10.1844%2 Oct →
nuke6–130.0736%2 Oct →
ancient7–130.0837%2 Oct →
inferno13–100.0516%1 Oct →
anubis2–13-0.1123%1 Oct →
mirage11–13-0.0828%27 Aug →
cache13–110.0052%25 Aug →
mirage13–100.0221%23 Aug →
ancient13–5-0.0414%4 May →
mirage13–50.0033%4 May →
dust213–90.0944%30 Apr →
dust213–60.0334%30 Apr →
dust213–7-0.0119%28 Apr →
nuke1–13-0.046%26 Apr →
mirage7–13-0.0921%26 Apr →
nuke6–13-0.0614%20 Apr →
nuke13–5-0.0122%19 Apr →
mirage6–13-0.0320%16 Apr →
mirage13–60.0128%16 Apr →
dust213–110.0630%6 Apr →
dust211–13-0.0331%29 Mar →
dust213–20.1126%29 Mar →
mirage13–8-0.035%29 Mar →
anubis9–13-0.0224%29 Mar →
mirage13–100.0129%28 Mar →
dust212–120.0138%28 Mar →
mirage13–100.0427%28 Mar →
nuke9–130.0027%28 Mar →
dust213–9-0.0446%26 Mar →
anubis13–110.0331%26 Mar →
dust213–100.1028%12 Mar →
ancient10–130.0425%12 Mar →
dust210–130.0031%11 Mar →
mirage5–13-0.0533%10 Mar →
mirage11–13-0.0540%6 Mar →
mirage6–0-0.0840%6 Mar →
ancient15–150.0527%6 Mar →
dust213–5-0.0350%2 Mar →
anubis16–130.0233%2 Mar →
mirage13–60.0826%1 Mar →
ancient9–130.0226%25 Feb →
dust213–6-0.0422%25 Feb →
dust211–130.1140%24 Feb →
ancient13–2-0.0429%24 Feb →
ancient9–130.0124%28 Oct →
mirage3–13-0.0123%28 Oct →
vertigo12–30.0231%28 Oct →
office13–10-0.0048%28 Oct →
dust213–50.0226%28 Oct →
nuke9–13-0.0012%19 Sept →
dust24–130.0522%1 Sept →
mirage13–40.1225%28 Jul →
mirage13–8-0.0431%22 Jul →
nuke13–40.0421%22 Jul →
mirage8–13-0.0128%21 Jul →
dust213–100.0927%21 Jul →
dust213–70.0018%20 Jul →
mirage10–13-0.0521%16 Jul →
dust211–13-0.0124%16 Jul →
train13–50.0321%7 Jul →
dust214–16-0.0312%7 Jul →
mirage13–60.0521%3 Jul →
mirage13–10.0133%3 Jul →
nuke0–5-0.100%1 Jul →
dust213–90.1241%1 Jul →
dust213–90.0532%30 Jun →
train13–6-0.0226%29 Jun →
mirage14–160.0227%29 Jun →
dust211–130.0125%19 Jun →
anubis13–10.0318%18 Jun →
train13–50.0718%17 Jun →
mirage13–6-0.0020%17 Jun →
anubis13–90.0421%17 Jun →
dust213–40.0926%17 Jun →
dust22–13-0.127%16 Jun →
mirage8–00.0420%11 Jun →
inferno4–13-0.0227%9 Jun →
train11–130.0023%9 Jun →
mirage4–130.0429%9 Jun →
dust213–90.0334%7 Jun →
inferno9–130.0227%5 Jun →
mirage13–70.0318%5 Jun →
train1–80.0246%28 May →
mirage13–9-0.0333%28 May →
overpass13–90.0116%27 May →
train13–10-0.0526%27 May →
mirage13–110.0419%27 May →
train13–10-0.0413%27 May →

Match data via Leetify.

Recent teammates

Milestones

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

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