Kian

Kian — CS2 Stats

76561198022127869[U:1:61862141]Steam profile ↗✓ No bans

345Tracked matches67%Win rate2020Tracked since
CSDB Rating7.4 StrongPositional Player
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (62 days ago). Ranks are recorded once per day this page is viewed.

+33Tracked matches · now 345
+7.4ppWin rate · 59.3% → 66.7%

Rating over time

Premier CS Rating: 21,413 -443 19 Jan – 12 Jun · 22 days played
21,28923,201peak 23,20119 Jan12 Jun
23,201Peak Premier in tracked matches
45Days played since 2026-01-19

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

Share this profile

CSDB.GGKianFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim81
Positioning70
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY49–45–6Last 10049%Win rateWLWWWLWLLL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · −4.0pp headshot accuracy · −40ms reaction

Win rate down 20pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 29%
  • Avg reaction 516ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 524ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 28%
  • Avg reaction 543ms

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 (+0.8 against its own average).

Aim8.1
Utility6.1
Positioning7.0
Opening Duels6.6
Clutch5.0

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 87% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Reaction time. 583ms 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
Positioning7.0
Utility6.1
Mechanics6.3
Opening Duels7.3
Win Impact10.0

Composite 7.4/10 (Strong), 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 rating0.02−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time555ms−39ms
first ⅓ avg 594ms → last ⅓ avg 555ms
Headshot accuracy27.9%−1.3%
first ⅓ avg 29.1% → last ⅓ avg 27.9%

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

0.12Best match rating · 12–12 · nuke, 24 Mar →
60%Best headshot accuracy · 11–13 · ancient, 16 Feb →
281msFastest reaction time · 0–6 · dust2, 23 Sept →
13–2Biggest win · nuke, 29 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
5–8In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 71% over 17infernoWeakest map · 39% over 23
MapGradePlayedRecordWin rateAvg rating
infernoC239–1439%0.01
dust2C219–1243%0.02
nukeS1712–571%0.05
mirageB179–853%0.03
ancientB115–645%0.05
cache—43–175%0.03
overpass—40–40%0.02
anubis—32–167%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (39% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

378Matches
57%Win rate
1.48Avg K/D
90.6ADR
53%Headshot %

Clutches & streaks

45%1v1 clutch win
31%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2050%1.4820.8
Nuke1164%1.5923.4
Dust21155%1.1217.6
Inferno862%1.7623.6
Ancient875%1.4217.8
Cache475%1.2417.8
Overpass450%1.3818.3
Anubis250%1.1115.5

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.

27.8%Headshot accuracy
35.4%Accuracy (enemy spotted)
36.4%Spray accuracy
78.4%Counter-strafing
9.5°Preaim
583msReaction time
57.5%T opening success
60.6%CT opening success
0.66Enemies flashed / flash
7.2%Flash assists
9.54HE damage / grenade
8.22Flashes / match

Recommended for you

Spend your practice time on Inferno

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

39% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–70.0432%30 Oct →
inferno3–9-0.2221%30 Oct →
nuke13–20.1035%29 Oct →
dust213–70.0226%21 Oct →
cache13–20.0531%21 Oct →
cache6–130.0628%19 Oct →
cache13–100.0323%13 Oct →
inferno11–130.0318%5 Oct →
inferno7–130.1124%28 Sept →
mirage3–13-0.0523%28 Sept →
nuke13–6-0.0033%28 Sept →
mirage7–13-0.1014%28 Sept →
dust213–60.0827%28 Sept →
cache13–11-0.0324%23 Sept →
ancient9–130.0129%23 Sept →
ancient13–70.1228%23 Sept →
inferno12–30.0432%23 Sept →
dust20–6-0.0757%23 Sept →
nuke16–140.1027%3 Sept →
nuke13–60.0431%27 Aug →
nuke16–130.0722%26 Aug →
mirage13–11-0.0026%26 Aug →
ancient14–160.0120%12 Jun →
inferno8–13-0.0125%12 Jun →
dust213–90.0944%12 Jun →
dust213–70.0130%31 May →
mirage12–160.0437%11 May →
inferno16–120.0621%29 Apr →
ancient13–80.0926%22 Apr →
dust213–80.0629%21 Apr →
inferno13–80.0542%21 Apr →
mirage0–11-0.030%13 Apr →
dust213–80.0133%13 Apr →
inferno5–13-0.0020%12 Apr →
inferno14–16-0.0117%12 Apr →
mirage13–100.0818%6 Apr →
nuke13–40.0632%1 Apr →
mirage13–11-0.0524%1 Apr →
ancient11–130.1136%27 Mar →
inferno13–60.0326%24 Mar →
dust210–130.0633%24 Mar →
nuke12–120.1229%24 Mar →
mirage12–120.0923%24 Mar →
dust212–120.0438%24 Mar →
inferno6–13-0.0222%22 Mar →
nuke13–70.1234%22 Mar →
dust213–80.0521%19 Mar →
overpass10–130.0136%19 Mar →
nuke2–13-0.0117%16 Mar →
dust211–130.0935%16 Mar →
inferno3–13-0.0522%16 Mar →
inferno13–10-0.0029%15 Mar →
inferno11–130.0117%15 Mar →
mirage13–80.1030%15 Mar →
nuke9–130.0215%15 Mar →
overpass4–130.0122%11 Mar →
nuke6–130.0421%11 Mar →
ancient6–130.0517%11 Mar →
inferno15–150.0525%10 Mar →
nuke13–60.0632%10 Mar →
inferno13–50.0530%10 Mar →
inferno2–130.0331%2 Mar →
mirage13–160.0026%26 Feb →
ancient9–00.0229%26 Feb →
inferno8–130.0224%26 Feb →
dust213–10-0.0527%26 Feb →
mirage13–110.0725%26 Feb →
mirage16–130.0345%26 Feb →
anubis13–90.0229%23 Feb →
dust215–150.0824%23 Feb →
mirage13–40.0830%21 Feb →
anubis10–13-0.0031%21 Feb →
overpass10–130.0423%20 Feb →
nuke13–40.0037%20 Feb →
dust211–130.0333%20 Feb →
dust210–13-0.0432%18 Feb →
dust213–70.0231%18 Feb →
dust28–13-0.0226%18 Feb →
dust215–15-0.0518%18 Feb →
ancient11–130.0760%16 Feb →
inferno3–13-0.0518%16 Feb →
inferno7–13-0.0235%16 Feb →
mirage8–130.0838%16 Feb →
nuke13–80.0023%7 Feb →
nuke12–16-0.0122%7 Feb →
ancient10–130.0626%7 Feb →
mirage13–70.0622%6 Feb →
dust27–13-0.0322%6 Feb →
inferno13–40.0238%2 Feb →
inferno13–80.0833%1 Feb →
dust29–13-0.0230%1 Feb →
ancient13–10-0.0318%1 Feb →
mirage13–70.0836%29 Jan →
nuke13–90.0930%29 Jan →
mirage3–13-0.0320%25 Jan →
inferno16–130.1031%24 Jan →
ancient13–90.0828%24 Jan →
dust29–130.0830%24 Jan →
nuke13–90.0510%22 Jan →
overpass10–130.0233%19 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 10100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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