Airuike

Airuike — CS2 Stats

US76561198967693527[U:1:1007427799]Steam profile ↗✓ No bans

1,887Tracked matches57%Win rate2022Tracked since
3,582Hours in CS40Hrs last 2 wks
CSDB Rating6.9 SolidSupport
FaceitLevel 9 · 1,660 ELOTop 20.7% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,660 → 1,660
+137Tracked matches · now 1,887
−3.3ppWin rate · 60.0% → 56.7%

Rating over time

Faceit ELO: 1,660 +0 28 Aug – 22 Sept · 3 observations
1,6601,660peak 1,66028 Aug22 Sept
1,660Highest Faceit ELO seen on CSDB
61Days played since 2026-07-09

Faceit ELO

  • At peak — 1,660
  • 0 over 30 days · steady
  • Next: Level 9 at 1,751 — 91 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-28
  • Level 7 first seen 2026-08-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate49.1%48.2%50.9%1.8% short
Shot accuracy5.5%13.2%13.7%8.2% short
Kill/death ratio1.161.071.09above
Match win rate49.9%46.9%48.4%above

This profile matches the typical Level 10 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAiruikeFACEITLevel 9 · 1,660 ELOSTANDINGTop 20.7% of ranked30 DAYS0 ELOPEAK ELO1,660csdb.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

Aim76
Positioning75
Utility79

0–100 skill scores via Leetify.

Recent form

STEADY59–41Last 10059%Win rateLWWLLLLWLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −6.0pp headshot accuracy · +23ms reaction

Win rate down 30pp 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 0.00
  • Avg headshot accuracy 17%
  • Avg reaction 552ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 521ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 510ms

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 (+1.6 against its own average).

Aim7.6
Utility7.9
Positioning7.5
Opening Duels5.9
Clutch4.0

High utility contribution

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

m0NESY

Plays most like m0NESY 77% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Strengths

T openings. 63% T opening-duel success — entries that actually open the round.

Utility. Utility score of 79 — grenade impact well above the norm.

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
Positioning7.5
Utility7.9
Mechanics5.7
Opening Duels7.2
Win Impact7.2

Composite 6.9/10 (Solid), 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 rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time508ms−44ms
first ⅓ avg 552ms → last ⅓ avg 508ms
Headshot accuracy21.6%−0.8%
first ⅓ avg 22.5% → last ⅓ avg 21.6%

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

0.20Best match rating · 4–13 · fachwerk, 10 Jul →
100%Best headshot accuracy · 0–4 · nuke, 10 Aug →
328msFastest reaction time · 0–4 · nuke, 10 Aug →
13–0Biggest win · mirage, 15 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–9In matches decided by ≤2 rounds
12Overtime games

Map breakdown

anubisBest map · 100% over 6ancientWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A2514–1156%0.02
mirageS2315–865%0.03
infernoA2213–959%0.02
ancientC104–640%0.01
nukeB63–350%0.04
anubisS66–0100%0.05
cache—42–250%-0.01
debris—11–0100%0.09
fachwerk—10–10%0.20
shelter—10–10%0.09
boulder—11–0100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

107,301Lifetime kills
1.16K/D · Top 50% of Level 9 players
4,551Matches
49.9%Match win rate · Top 25% of Level 9 players
49.1%Headshot % · Top 50% of Level 9 players
5.5%Shot accuracy
13,988MVPs
2,106Hours (in match)
7,237Bombs planted
1,816Bombs defused

Most-used weapons

AK-4742,817
AWP11,667
MP93,028
MAC-101,839
Knife1,807

Lifetime map wins

13,078inferno
9,561dust2
2,691nuke
1,957vertigo
411train
47office
25lake
21ar_baggage

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

Faceit stats

Combat

1,186Matches
49%Win rate
1.24Avg K/D
85.7ADR
46%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
13Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage40951%1.2717.5
Inferno29152%1.3218.1
Dust216943%1.1817.5
Ancient11845%1.1817.1
Anubis7544%1.1516.7
Nuke5747%1.1517.5
Vertigo2756%1.3215.2
Train944%1.1316.2

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.

22.0%Headshot accuracy
34.7%Accuracy (enemy spotted)
35.8%Spray accuracy
75.6%Counter-strafing
10.0°Preaim
507msReaction time
62.8%T opening success
54.5%CT opening success
0.63Enemies flashed / flash
17.4%Flash assists
9.60HE damage / grenade
22.21Flashes / match

Recommended for you

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.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke4–130.0316%4 Nov →
mirage13–9-0.0416%4 Nov →
inferno13–70.0518%27 Oct →
inferno11–130.0420%26 Oct →
cache10–13-0.0617%25 Oct →
inferno6–130.0225%24 Oct →
dust214–160.0219%24 Oct →
nuke13–100.0723%22 Oct →
ancient11–13-0.0312%22 Oct →
inferno16–140.0229%20 Oct →
nuke13–100.0528%19 Oct →
nuke13–80.0323%18 Oct →
dust213–11-0.0229%17 Oct →
dust213–30.1040%11 Oct →
ancient14–160.0318%11 Oct →
mirage13–9-0.0527%8 Oct →
mirage8–13-0.0319%8 Oct →
dust213–90.0520%6 Oct →
mirage10–130.0424%6 Oct →
inferno13–90.0627%6 Oct →
dust213–90.0111%5 Oct →
mirage13–50.0928%5 Oct →
nuke10–130.0225%3 Oct →
inferno13–3-0.0220%1 Oct →
mirage13–70.0820%30 Sept →
dust27–130.0220%30 Sept →
inferno13–8-0.0310%29 Sept →
dust212–160.0517%28 Sept →
inferno13–90.0442%26 Sept →
inferno8–130.0323%23 Sept →
inferno2–13-0.0230%23 Sept →
inferno13–30.0611%23 Sept →
inferno13–5-0.049%21 Sept →
inferno10–13-0.0127%21 Sept →
cache12–160.0324%20 Sept →
dust213–110.0516%20 Sept →
mirage13–9-0.0417%20 Sept →
mirage16–140.0822%19 Sept →
mirage13–60.0719%18 Sept →
inferno13–20.1715%18 Sept →
inferno13–9-0.0223%17 Sept →
ancient7–130.0423%17 Sept →
mirage13–60.0418%17 Sept →
mirage9–130.1126%16 Sept →
inferno7–13-0.0118%16 Sept →
anubis13–80.0721%13 Sept →
mirage13–11-0.0423%11 Sept →
dust27–13-0.0228%11 Sept →
dust213–7-0.0114%10 Sept →
dust29–130.0325%10 Sept →
dust25–13-0.0617%8 Sept →
mirage13–90.0924%7 Sept →
mirage13–30.0535%7 Sept →
mirage13–11-0.0119%6 Sept →
anubis13–50.0915%6 Sept →
dust29–130.0527%6 Sept →
ancient11–130.0115%3 Sept →
ancient13–70.0823%1 Sept →
inferno13–80.0122%30 Aug →
inferno13–60.1021%30 Aug →
dust213–90.0624%27 Aug →
ancient4–13-0.096%25 Aug →
inferno12–16-0.0315%23 Aug →
mirage13–100.0625%23 Aug →
dust210–13-0.0522%19 Aug →
inferno7–13-0.0219%18 Aug →
anubis16–14-0.0012%15 Aug →
dust213–90.0017%11 Aug →
cache13–70.0235%10 Aug →
nuke0–40.03100%10 Aug →
dust213–60.1022%10 Aug →
ancient13–9-0.0412%10 Aug →
dust29–130.0431%8 Aug →
ancient14–160.0018%7 Aug →
dust213–80.0127%7 Aug →
dust213–10-0.0614%7 Aug →
dust211–130.0415%4 Aug →
inferno16–120.0422%3 Aug →
mirage8–13-0.0121%2 Aug →
dust213–4-0.0730%31 Jul →
anubis13–90.0431%31 Jul →
debris9–50.0923%31 Jul →
dust213–100.0416%30 Jul →
ancient13–10.0225%28 Jul →
mirage13–90.0613%23 Jul →
dust213–100.0310%21 Jul →
dust211–130.0632%21 Jul →
ancient13–40.0630%20 Jul →
inferno7–13-0.0721%20 Jul →
mirage9–130.0622%17 Jul →
mirage10–130.0217%16 Jul →
mirage14–160.0418%16 Jul →
mirage13–00.0616%15 Jul →
mirage16–190.059%12 Jul →
fachwerk4–130.2013%10 Jul →
shelter9–130.0918%10 Jul →
anubis13–50.0420%10 Jul →
cache13–8-0.0513%9 Jul →
boulder13–60.0318%9 Jul →
anubis13–90.0414%9 Jul →

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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