KlOn

KlOn — CS2 Stats

76561199143252969[U:1:1182987241]Steam profile ↗✓ No bans

484Tracked matches36%Win rate2021Tracked since
CSDB Rating3.2 LearningClutch Specialist
FaceitLevel 5 · 1,070 ELOTop 67.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 484 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 57 days played since 15 Nov 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 15,461 +1,184 15 Nov31 Mar · 26 days played
14,27717,151peak 17,15115 Nov31 Mar
17,353Peak Premier in tracked matches
1,070Highest Faceit ELO seen on CSDB
57Days played since 2025-11-15

Faceit ELO

  • At peak — 1,070
  • Next: Level 6 at 1,201 131 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-18
  • Level 4 first seen 2026-09-18

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.GGKlOnFACEITLevel 5 · 1,070 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,070csdb.gg/stats

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Performance scores

Aim42
Positioning37
Utility32

0–100 skill scores via Leetify.

Recent form

COLD42508Last 10042%Win rateLWWLLLLLLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +3.5pp headshot accuracy · +30ms 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

  • 23 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 700ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 17%
  • Avg reaction 734ms

Last 20

  • 7121 · 35% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 719ms

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 SpecialistLate-round 1vX conversion stands above the rest of this profile (+1 against its own average).

Aim4.2
Utility3.2
Positioning3.7
Opening Duels3.0
Clutch4.6

Limited utility dependence

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 81% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

Areas to improve

T-side openings. Opening success drops from 47% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 689ms 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

Aim4.2
Positioning3.7
Utility3.2
Mechanics5.2
Opening Duels2.2
Win Impact0.2

Composite 3.2/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03+0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time685ms−3ms
first ⅓ avg 687ms → last ⅓ avg 685ms
Headshot accuracy16.7%−0.5%
first ⅓ avg 17.2% → last ⅓ avg 16.7%

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

0.21Best match rating · 8–8 · inferno, 6 Feb
37%Best headshot accuracy · 3–9 · rooftop, 14 Dec
438msFastest reaction time · 3–13 · ancient, 5 Jan
13–2Biggest win · dust2, 6 Jan

Across the last 100 tracked matches.

Highlights

5Longest win streak
1211In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 67% over 6infernoWeakest map · 19% over 16
MapGradePlayedRecordWin rateAvg rating
dust2B26121446%-0.01
infernoD1631319%-0.02
ancientA148657%-0.04
mirageC125742%-0.04
overpassB84450%-0.03
nukeS64267%-0.00
anubisC52340%-0.01
cache41325%-0.04
train43175%-0.03
office2020%-0.05
rooftop2020%-0.04
sanctum1010%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (19% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

130Matches
56%Win rate
1.00Avg K/D
74.2ADR
47%Headshot %

Clutches & streaks

43%1v1 clutch win
24%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2467%1.0113.8
Anubis1856%0.7211.2
Ancient1867%0.9714.9
Dust21553%0.8912.7
Vertigo944%0.7812.3
Overpass786%3.1915.6
Inferno650%0.7312.0
Nuke367%1.8519.0

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.

16.1%Headshot accuracy
30.6%Accuracy (enemy spotted)
32.9%Spray accuracy
73.3%Counter-strafing
10.1°Preaim
689msReaction time
30.3%T opening success
47.4%CT opening success
0.54Enemies flashed / flash
2.7%Flash assists
7.07HE damage / grenade
4.37Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 30.2777% — below the 40% mark we flag

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.

19% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.096%14 Sept
anubis13–11-0.0019%14 Sept
cache13–11-0.0324%13 May
cache8–13-0.0311%1 May
cache11–13-0.0316%30 Apr
cache8–13-0.0622%30 Apr
overpass5–13-0.1019%24 Apr
mirage3–13-0.0719%21 Apr
inferno7–13-0.0322%20 Apr
mirage1–13-0.1313%19 Apr
ancient13–3-0.0215%12 Apr
ancient13–8-0.0615%7 Apr
inferno12–12-0.0519%6 Apr
anubis11–130.0115%31 Mar
anubis5–13-0.0912%27 Mar
dust28–13-0.053%27 Mar
mirage13–10-0.069%27 Mar
mirage13–7-0.0711%24 Mar
dust211–13-0.0219%22 Mar
dust213–8-0.0419%22 Mar
anubis8–13-0.0411%22 Mar
dust213–110.0524%20 Mar
office12–12-0.0713%18 Mar
office2–13-0.0436%18 Mar
dust213–11-0.0410%18 Mar
sanctum8–8-0.0331%12 Mar
mirage6–130.0414%5 Mar
dust24–130.0624%3 Mar
ancient7–13-0.0120%25 Feb
dust213–30.0817%22 Feb
mirage11–130.0522%22 Feb
dust213–110.0214%18 Feb
nuke13–9-0.008%16 Feb
dust25–13-0.0416%12 Feb
nuke13–70.0015%9 Feb
nuke9–13-0.038%8 Feb
inferno8–80.219%6 Feb
overpass13–100.0011%3 Feb
nuke3–130.0118%30 Jan
dust27–130.0433%30 Jan
anubis13–90.0623%22 Jan
inferno13–11-0.0321%20 Jan
ancient13–5-0.0016%19 Jan
dust28–13-0.0415%18 Jan
inferno4–13-0.0629%11 Jan
inferno3–13-0.1111%6 Jan
dust213–2-0.0131%6 Jan
ancient9–13-0.042%5 Jan
dust29–13-0.0318%5 Jan
mirage4–13-0.0016%5 Jan
ancient3–13-0.0813%5 Jan
ancient11–13-0.0717%4 Jan
train13–11-0.0220%4 Jan
inferno15–15-0.048%4 Jan
overpass9–13-0.0418%4 Jan
ancient4–13-0.0319%3 Jan
inferno6–10.0515%3 Jan
dust213–90.0330%3 Jan
rooftop8–8-0.0214%3 Jan
inferno11–13-0.0713%3 Jan
overpass13–11-0.0819%3 Jan
inferno13–50.0210%1 Jan
dust213–10-0.0623%1 Jan
ancient13–10-0.047%31 Dec
dust215–15-0.0219%30 Dec
train13–70.0222%30 Dec
mirage7–13-0.0316%30 Dec
overpass13–40.0627%29 Dec
dust29–13-0.0716%28 Dec
nuke13–70.0419%28 Dec
ancient13–4-0.0118%28 Dec
dust213–50.0313%28 Dec
overpass3–130.0125%26 Dec
inferno11–130.015%26 Dec
inferno11–13-0.0428%25 Dec
mirage9–13-0.0920%23 Dec
dust213–8-0.056%23 Dec
ancient13–11-0.1015%23 Dec
mirage13–5-0.0521%23 Dec
dust26–13-0.0326%23 Dec
overpass14–16-0.0818%19 Dec
dust29–13-0.0613%19 Dec
nuke13–11-0.0424%18 Dec
inferno15–15-0.0313%17 Dec
inferno10–13-0.117%17 Dec
ancient13–6-0.053%16 Dec
mirage13–50.0015%16 Dec
dust216–14-0.0517%15 Dec
overpass16–13-0.0011%15 Dec
mirage13–8-0.1015%14 Dec
dust26–130.0012%14 Dec
rooftop3–9-0.0637%14 Dec
dust211–130.0528%14 Dec
ancient16–14-0.0223%14 Dec
train6–13-0.0727%14 Dec
dust28–13-0.0714%13 Dec
inferno1–5-0.040%13 Dec
dust213–10-0.0316%12 Dec
train13–8-0.0711%22 Nov
ancient11–13-0.0325%15 Nov

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 →