Kon

Kon — CS2 Stats

ZW76561199490335288[U:1:1530069560]Steam profile ↗✓ No bans

1,118Tracked matches62%Win rate2023Tracked since
CSDB Rating7.3 StrongPositional Player
Premier CS Rating22,169Top 50% of 211,827 CSDB-tracked playersPink band · top ~6.1% of ranked players (population est.)
CSDB Leaderboard#53942 of 258795 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,169 +767 26 Sept – 29 Oct · 15 days played
19,51822,173peak 22,17326 Sept29 Oct
22,173Peak Premier in tracked matches
33Days played since 2026-09-11

Premier CS Rating

  • 4 below peak (22,173)
  • +1,447 over 30 days · improving
  • Next: Red band at 25,000 — 2,831 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGKonFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER22,169 · Pink bandcsdb.gg/stats

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Performance scores

Aim86
Positioning66
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY45–46–9Last 10045%Win rateLWTWTTTWWL

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · −1.3pp headshot accuracy · −1ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–1–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 572ms

Last 10

  • 4–2–4 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 563ms

Last 20

  • 11–5–4 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 564ms

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 (+1.8 against its own average).

Aim8.6
Utility4.9
Positioning6.6
Opening Duels4.7
Clutch3.2

Sharp aimerLimited 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

jL

Plays most like jL 93% playstyle similarity

Most alike: opening-duel success, positioning 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

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

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. 560ms 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

Aim8.6
Positioning6.6
Utility4.9
Mechanics7.2
Opening Duels5.5
Win Impact8.8

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time552ms−0ms
first ⅓ avg 552ms → last ⅓ avg 552ms
Headshot accuracy25.9%+2.4%
first ⅓ avg 23.5% → last ⅓ avg 25.9%

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

0.18Best match rating · 13–3 · dust2, 18 Sept →
54%Best headshot accuracy · 3–13 · inferno, 10 Oct →
414msFastest reaction time · 6–13 · nuke, 24 Oct →
13–0Biggest win · cache, 3 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
2–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 80% over 5nukeWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA2213–959%0.02
dust2B209–1145%0.02
ancientC166–1038%0.02
infernoD154–1127%0.02
anubisB105–550%0.01
nukeD81–713%-0.02
cacheS54–180%0.04
train—32–167%-0.00
overpass—11–0100%0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

78Matches
59%Win rate
1.25Avg K/D
81.7ADR
52%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2854%1.2417.7
Inferno1560%1.1415.5
Dust21450%1.3619.0
Ancient1369%1.2318.5
Nuke475%1.2717.3
Anubis367%1.1218.0
Cache1100%2.5623.0

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.

26.8%Headshot accuracy
37.3%Accuracy (enemy spotted)
39.8%Spray accuracy
82.5%Counter-strafing
9.9°Preaim
560msReaction time
52.6%T opening success
51.2%CT opening success
0.54Enemies flashed / flash
8.2%Flash assists
9.59HE damage / grenade
4.86Flashes / match

Recommended for you

Spend your practice time on Nuke

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–130.0117%30 Oct →
mirage13–100.0324%29 Oct →
inferno15–150.0226%29 Oct →
dust213–5-0.0318%29 Oct →
inferno12–120.0824%25 Oct →
dust212–120.0347%25 Oct →
ancient12–120.0429%24 Oct →
overpass13–20.0827%24 Oct →
mirage13–60.0323%24 Oct →
inferno6–130.0224%24 Oct →
ancient13–100.0018%24 Oct →
nuke6–13-0.0431%24 Oct →
inferno7–130.0324%24 Oct →
ancient9–130.0929%24 Oct →
dust213–70.0231%23 Oct →
mirage13–110.0225%23 Oct →
cache13–11-0.0034%22 Oct →
dust213–60.1528%22 Oct →
inferno13–50.0330%22 Oct →
mirage13–10-0.0120%19 Oct →
anubis3–13-0.0334%19 Oct →
ancient2–13-0.0217%19 Oct →
cache13–70.1521%18 Oct →
nuke10–13-0.0831%17 Oct →
dust213–8-0.0338%17 Oct →
nuke11–130.0439%17 Oct →
inferno13–60.1123%17 Oct →
inferno13–40.0526%14 Oct →
anubis7–13-0.0422%14 Oct →
mirage13–30.1515%14 Oct →
dust26–13-0.0819%14 Oct →
anubis16–130.0217%13 Oct →
dust210–13-0.0423%13 Oct →
ancient7–130.0014%13 Oct →
ancient13–50.0321%13 Oct →
ancient13–100.0327%12 Oct →
anubis13–90.0317%12 Oct →
cache13–30.0218%12 Oct →
ancient14–160.0531%10 Oct →
ancient13–30.0640%10 Oct →
anubis10–13-0.0413%10 Oct →
dust213–20.1526%10 Oct →
dust27–13-0.0335%10 Oct →
dust211–130.0131%10 Oct →
inferno3–13-0.0654%10 Oct →
mirage11–130.0637%10 Oct →
mirage12–120.0126%9 Oct →
inferno9–13-0.0523%8 Oct →
inferno9–130.0232%6 Oct →
ancient15–150.0122%5 Oct →
anubis13–2-0.0223%5 Oct →
dust213–8-0.0328%5 Oct →
nuke13–60.0915%4 Oct →
mirage13–90.0716%4 Oct →
nuke6–13-0.0220%4 Oct →
mirage7–13-0.086%3 Oct →
nuke8–13-0.0618%3 Oct →
mirage13–40.0123%3 Oct →
cache13–0-0.040%3 Oct →
mirage13–10-0.0411%3 Oct →
ancient13–90.0122%3 Oct →
dust210–13-0.0113%3 Oct →
inferno11–130.0120%3 Oct →
train13–90.0525%3 Oct →
ancient1–130.0347%3 Oct →
ancient10–130.0119%2 Oct →
mirage10–130.0125%2 Oct →
train8–13-0.0628%1 Oct →
dust27–130.0229%1 Oct →
inferno5–130.0626%30 Sept →
inferno6–13-0.0710%29 Sept →
mirage5–13-0.0519%27 Sept →
dust26–13-0.0528%26 Sept →
mirage13–90.0214%26 Sept →
ancient10–13-0.0639%26 Sept →
anubis7–10.0726%26 Sept →
mirage13–70.0013%26 Sept →
mirage13–50.1127%26 Sept →
anubis12–120.0128%20 Sept →
dust25–13-0.0123%20 Sept →
cache12–120.0623%20 Sept →
ancient12–120.0220%20 Sept →
dust211–13-0.0221%20 Sept →
inferno10–130.0126%20 Sept →
anubis13–70.0213%19 Sept →
mirage13–160.0026%19 Sept →
dust27–3-0.0032%18 Sept →
dust213–30.1822%18 Sept →
ancient13–9-0.0120%17 Sept →
mirage13–7-0.0223%17 Sept →
mirage11–13-0.0345%16 Sept →
mirage13–60.0711%13 Sept →
dust211–130.1030%13 Sept →
nuke11–13-0.0516%12 Sept →
dust213–70.0616%12 Sept →
mirage6–130.0341%12 Sept →
mirage9–130.0124%11 Sept →
nuke8–13-0.0317%11 Sept →
train13–100.0021%11 Sept →
inferno13–30.0216%11 Sept →

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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