KAOi//

KAOi// — CS2 Stats

76561198044215357[U:1:83949629]Steam profile ↗✓ No bans

759Tracked matches73%Win rate2020Tracked since
CSDB Rating6.9 SolidPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 759 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 19,240 -2,298 30 Aug – 28 Dec · 3 days played
19,24022,726peak 22,72630 Aug28 Dec
22,726Peak Premier in tracked matches
33Days played since 2025-03-09

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

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CSDB.GGKAOi//FACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning69
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY60–34–6Last 10060%Win rateWWLLTTLWLW

Last 10 vs previous 10: −50pp win rate · −0.05 avg rating · −5.2pp headshot accuracy · −3ms reaction

Win rate down 50pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 564ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 576ms

Last 20

  • 13–5–2 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 577ms

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 (+2.5 against its own average).

Aim8.1
Utility3.6
Positioning6.9
Opening Duels4.5
Clutch2.6

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 91% playstyle similarity

Most alike: positioning profile, utility contribution.

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.

Reaction time. 593ms 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

Aim8.1
Positioning6.9
Utility3.6
Mechanics7.5
Opening Duels3.9
Win Impact10.0

Composite 6.9/10 (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 0.02 → last ⅓ avg 0.01
Reaction time584ms−32ms
first ⅓ avg 616ms → last ⅓ avg 584ms
Headshot accuracy23.3%+0.6%
first ⅓ avg 22.7% → last ⅓ avg 23.3%

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

0.22Best match rating · 9–3 · inferno, 5 May →
100%Best headshot accuracy · 4–0 · agency, 10 May →
336msFastest reaction time · 9–3 · nuke, 6 Apr →
13–1Biggest win · ancient, 31 Aug →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W2Current streak
9–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

overpassBest map · 67% over 12mirageWeakest map · 50% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB1910–953%0.02
nukeA148–657%0.02
ancientA127–558%0.03
overpassS128–467%0.05
vertigoA95–456%0.03
mirageB84–450%0.01
trainS64–267%0.02
anubis—42–250%-0.00
dust2—33–0100%0.05
cache—21–150%-0.04
italy—21–150%-0.01
stronghold—11–0100%-0.03
golden—11–0100%-0.01
grail—11–0100%0.01
agency—11–0100%0.07
jura—11–0100%0.07
palais—10–10%-0.01
whistle—11–0100%0.12
basalt—10–10%-0.05
edin—11–0100%0.15

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (50% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

487Matches
53%Win rate
1.19Avg K/D
88.1ADR
41%Headshot %

Clutches & streaks

33%1v1 clutch win
18%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis1644%1.1113.9
Inferno1464%1.1318.9
Ancient1250%1.1218.5
Overpass850%1.1719.4
Mirage633%1.0116.5
Nuke450%1.1116.5
Vertigo333%1.0718.3
Train1100%2.3626.0

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.

21.1%Headshot accuracy
36.1%Accuracy (enemy spotted)
36.9%Spray accuracy
83.9%Counter-strafing
8.0°Preaim
593msReaction time
43.2%T opening success
48.3%CT opening success
0.51Enemies flashed / flash
8.5%Flash assists
7.86HE damage / grenade
7.00Flashes / match

Recent matches

MapScoreRatingHS%Date
stronghold13–5-0.0336%7 Jun →
cache13–10-0.0520%7 Jun →
ancient6–13-0.0213%14 May →
inferno6–130.0516%14 May →
anubis15–15-0.018%3 May →
cache12–12-0.0420%3 May →
mirage9–130.0317%28 Dec →
inferno11–3-0.1020%28 Dec →
nuke10–13-0.0232%28 Dec →
overpass9–30.0433%27 Oct →
vertigo9–60.0233%27 Oct →
nuke9–10.1133%27 Oct →
inferno7–90.0550%27 Oct →
golden13–10-0.0131%3 Oct →
dust213–100.0419%14 Sept →
italy13–7-0.0123%14 Sept →
train13–80.0519%31 Aug →
ancient13–10.0420%31 Aug →
overpass13–10.0621%31 Aug →
ancient13–50.0516%30 Aug →
overpass13–6-0.0214%30 Aug →
ancient16–130.0127%27 Aug →
ancient11–13-0.0116%25 Aug →
overpass13–10-0.0113%25 Aug →
inferno13–110.0125%23 Aug →
nuke6–13-0.0129%23 Aug →
italy12–12-0.0019%23 Aug →
mirage13–8-0.0227%23 Aug →
mirage15–150.0119%23 Aug →
overpass13–80.0323%23 Aug →
ancient12–30.1433%23 Aug →
inferno9–13-0.0224%23 Aug →
dust213–80.1220%19 Aug →
inferno12–30.0622%19 Aug →
ancient7–13-0.0316%10 Aug →
nuke13–70.0320%10 Aug →
inferno13–110.0012%10 Aug →
inferno13–80.0519%6 Aug →
nuke9–13-0.019%6 Aug →
mirage13–6-0.0413%6 Aug →
inferno10–130.0219%3 Aug →
overpass5–130.0525%26 Jul →
ancient13–60.0328%26 Jul →
nuke5–130.0114%17 Jul →
grail13–60.0122%10 May →
agency4–00.07100%10 May →
jura13–90.0735%10 May →
inferno9–30.2238%5 May →
vertigo5–9-0.0217%5 May →
inferno10–13-0.0319%21 Apr →
train13–110.0725%21 Apr →
overpass13–110.0638%21 Apr →
mirage4–13-0.059%21 Apr →
vertigo13–60.0325%21 Apr →
vertigo13–60.0515%20 Apr →
inferno13–50.050%20 Apr →
overpass8–80.1234%20 Apr →
inferno7–9-0.017%20 Apr →
vertigo5–9-0.0145%20 Apr →
nuke9–40.0722%20 Apr →
inferno11–130.0118%19 Apr →
overpass13–20.0622%19 Apr →
train13–11-0.0222%19 Apr →
nuke2–80.0113%18 Apr →
palais3–9-0.0119%18 Apr →
overpass5–90.0229%18 Apr →
whistle9–50.1228%18 Apr →
vertigo9–50.1228%18 Apr →
inferno9–7-0.0720%18 Apr →
nuke6–9-0.0913%18 Apr →
ancient11–130.0314%6 Apr →
nuke9–30.0344%6 Apr →
inferno5–13-0.0729%4 Apr →
anubis13–10-0.0423%4 Apr →
overpass6–130.0410%3 Apr →
anubis5–130.0024%3 Apr →
train6–13-0.0439%29 Mar →
mirage9–130.0627%29 Mar →
vertigo4–13-0.0522%29 Mar →
inferno12–120.0519%29 Mar →
dust213–3-0.0015%23 Mar →
inferno13–110.0327%23 Mar →
vertigo10–130.0120%23 Mar →
nuke13–30.1027%23 Mar →
vertigo13–110.0819%22 Mar →
ancient13–100.0511%22 Mar →
mirage13–90.0418%22 Mar →
train6–13-0.0343%22 Mar →
basalt9–13-0.0527%20 Mar →
nuke13–5-0.0422%20 Mar →
train13–10.0811%20 Mar →
ancient13–70.028%20 Mar →
edin4–00.1533%20 Mar →
mirage13–50.0331%20 Mar →
overpass13–30.0915%20 Mar →
nuke13–40.0317%12 Mar →
inferno13–110.0427%12 Mar →
ancient6–13-0.0020%12 Mar →
anubis13–90.0526%9 Mar →
nuke5–00.0820%9 Mar →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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