KiliaN

KiliaN — CS2 Stats

DE76561198998826248[U:1:1038560520]Steam profile ↗✓ No bans

1,397Tracked matches69%Win rate2021Tracked since
CSDB Rating7.0 StrongPositional Player
FaceitLevel 9 · 1,845 ELOTop 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (60 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,845 → 1,845
+34Tracked matches · now 1,397
+4.7ppWin rate · 64.3% → 69.0%

Rating over time

Premier CS Rating: 17,021 +2,397 17 Oct – 10 Jan · 5 days played
14,62417,021peak 17,02117 Oct10 Jan
17,021Peak Premier in tracked matches
1,845Highest Faceit ELO seen on CSDB
66Days played since 2025-08-18

Faceit ELO

  • At peak — 1,845
  • Next: Level 10 at 2,001 — 156 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-02
  • Level 8 first seen 2026-09-02

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

Share this profile

CSDB.GGKiliaNFACEITLevel 9 · 1,845 ELOSTANDINGTop 20.7% of rankedPEAK ELO1,845csdb.gg/stats

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Performance scores

Aim85
Positioning66
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY64–33–3Last 10064%Win rateLWLWWWWWLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · −1.1pp headshot accuracy · −41ms reaction

Win rate 0pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 523ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 505ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 526ms

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).

Aim8.5
Utility6.0
Positioning6.6
Opening Duels5.9
Clutch4.6

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

m0NESY

Plays most like m0NESY 93% playstyle similarity

Most alike: opening-duel success, utility contribution.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.5
Positioning6.6
Utility6.0
Mechanics5.9
Opening Duels7.3
Win Impact10.0

Composite 7.0/10 (Strong), 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 rating0.03−0.02
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time529ms−28ms
first ⅓ avg 557ms → last ⅓ avg 529ms
Headshot accuracy20.9%−3.5%
first ⅓ avg 24.5% → last ⅓ avg 20.9%

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

0.15Best match rating · 13–4 · nuke, 17 Sept →
46%Best headshot accuracy · 10–13 · nuke, 23 Sept →
375msFastest reaction time · 13–4 · dust2, 18 Oct →
13–0Biggest win · train, 13 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
9–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 71% over 7vertigoWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2S1812–667%0.04
infernoS1711–665%0.04
nukeA149–564%0.06
anubisS139–469%0.03
cacheA85–363%0.02
vertigoC73–443%0.03
mirageS75–271%0.02
overpassS64–267%0.04
ancient—42–250%-0.01
train—33–0100%0.07
alpine—10–10%0.00
agency—10–10%0.03
office—11–0100%-0.07

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

457Matches
53%Win rate
1.29Avg K/D
96.8ADR
48%Headshot %

Clutches & streaks

43%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust26542%1.4120.4
Inferno5446%1.4519.4
Nuke4770%1.4120.9
Anubis4358%1.2617.6
Mirage3444%1.3219.4
Overpass2176%1.7020.1
Ancient1669%1.3018.4
Cache1369%1.2517.9

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.

20.5%Headshot accuracy
36.3%Accuracy (enemy spotted)
39.9%Spray accuracy
76.4%Counter-strafing
7.2°Preaim
530msReaction time
59.2%T opening success
58.9%CT opening success
0.55Enemies flashed / flash
7.1%Flash assists
11.54HE damage / grenade
8.92Flashes / match

Recommended for you

Spend your practice time on Vertigo

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

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis7–13-0.0122%22 Oct →
anubis13–7-0.0320%18 Oct →
inferno10–130.0316%18 Oct →
dust213–40.0217%18 Oct →
vertigo13–80.0818%15 Oct →
cache13–7-0.0317%10 Oct →
anubis13–30.1510%8 Oct →
inferno13–70.0323%1 Oct →
anubis1–13-0.0217%29 Sept →
anubis7–13-0.0326%25 Sept →
nuke10–130.0413%21 Sept →
inferno9–130.0616%21 Sept →
anubis13–40.0411%20 Sept →
dust26–13-0.0516%20 Sept →
cache13–10-0.0016%20 Sept →
inferno13–100.0225%16 Sept →
cache13–10.0923%13 Sept →
cache8–13-0.0425%13 Sept →
vertigo13–60.0323%12 Sept →
nuke13–50.0729%10 Sept →
anubis13–90.0626%30 Aug →
anubis13–50.0526%29 Aug →
nuke15–15-0.0222%24 Aug →
cache13–50.0831%13 Aug →
dust213–40.1012%13 Aug →
train13–00.1240%13 Aug →
train13–50.0215%10 Aug →
mirage13–100.0425%9 Aug →
inferno8–13-0.0116%7 Aug →
dust213–70.0019%7 Aug →
dust29–13-0.0225%30 Jul →
dust213–60.0922%30 Jul →
ancient9–13-0.0427%26 Jul →
inferno13–110.0122%22 Jul →
cache13–80.0518%22 Jul →
inferno3–13-0.0312%5 Jul →
ancient3–13-0.0713%5 Jul →
nuke13–40.0425%28 Jun →
anubis8–13-0.0020%14 Jun →
inferno11–130.0116%14 Jun →
anubis13–11-0.0112%14 Jun →
overpass13–110.0313%14 Jun →
cache3–130.0122%10 May →
cache12–120.0014%2 May →
alpine8–130.0017%2 Apr →
anubis13–90.0518%16 Feb →
ancient13–70.0128%13 Feb →
vertigo8–130.0627%11 Feb →
overpass13–110.0418%10 Jan →
vertigo8–10.1245%6 Jan →
inferno13–60.0320%4 Jan →
dust21–13-0.0224%24 Dec →
mirage6–130.0120%24 Dec →
dust213–70.0329%30 Nov →
dust213–90.0216%24 Nov →
overpass10–130.1031%21 Nov →
inferno13–30.0627%21 Nov →
overpass11–13-0.0427%21 Nov →
mirage13–60.0522%15 Nov →
nuke16–130.0818%13 Nov →
inferno13–50.1431%13 Nov →
dust213–110.0525%9 Nov →
nuke14–160.0621%9 Nov →
dust216–140.0416%8 Nov →
mirage7–13-0.0511%3 Nov →
nuke13–110.0619%18 Oct →
dust215–150.0732%17 Oct →
ancient13–40.0613%17 Oct →
dust213–30.0426%16 Oct →
dust28–13-0.0125%16 Oct →
anubis13–110.0615%16 Oct →
nuke13–50.0824%16 Oct →
overpass13–70.1020%15 Oct →
dust219–150.0819%14 Oct →
vertigo11–130.0017%13 Oct →
agency8–130.0319%8 Oct →
vertigo6–13-0.0122%8 Oct →
vertigo6–13-0.0520%7 Oct →
inferno13–80.0614%26 Sept →
nuke10–13-0.0146%23 Sept →
inferno9–130.0119%20 Sept →
office13–8-0.0735%20 Sept →
anubis13–100.0326%18 Sept →
inferno13–60.0238%17 Sept →
mirage13–70.0745%17 Sept →
nuke13–40.1528%17 Sept →
overpass13–40.0222%17 Sept →
mirage13–50.0328%17 Sept →
nuke9–13-0.0214%17 Sept →
nuke13–80.0418%16 Sept →
nuke13–60.1434%16 Sept →
inferno13–30.0929%12 Sept →
inferno13–40.1218%11 Sept →
nuke13–40.0724%11 Sept →
inferno13–110.0431%10 Sept →
train13–10.0729%10 Sept →
mirage13–4-0.0520%1 Sept →
dust210–130.0923%21 Aug →
dust213–80.1325%20 Aug →
dust219–160.0823%18 Aug →

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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