конl

конl — CS2 Stats

76561198860783949[U:1:900518221]Steam profile ↗✓ No bans

2,233Tracked matches44%Win rate2021Tracked since
CSDB Rating7.3 StrongPositional Player
Premier CS Rating25,003Top 25% of 204,793 CSDB-tracked playersRed band · top ~3% of ranked players (population est.)
CSDB Leaderboard#20428 of 252061 tracked
FaceitLevel 7Top 42.3% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Sep 2026 (17 days ago). 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: 25,003 +1,841 28 Aug – 28 Sept · 5 days played
23,16225,111peak 25,11128 Aug28 Sept
25,111Peak Premier in tracked matches
14Days played since 2026-08-28

Premier CS Rating

  • 108 below peak (25,111)
  • +1,841 over 30 days · improving
  • Next: Gold band at 30,000 — 4,997 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

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

Share this profile

CSDB.GGконlFACEITLevel 7STANDINGTop 42.3% of rankedPREMIER25,003 · Red bandcsdb.gg/stats

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Performance scores

Aim93
Positioning65
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY50–40–10Last 10050%Win rateLWLWLWWLLL

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +3.7pp headshot accuracy · +50ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 31%
  • Avg reaction 599ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 34%
  • Avg reaction 563ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 33%
  • Avg reaction 538ms

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).

Aim9.3
Utility4.9
Positioning6.5
Opening Duels5.6
Clutch1.6

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

s1mple

Plays most like s1mple 93% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower 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 93 — the mechanical foundation is a clear strength.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 557ms 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

Aim9.3
Positioning6.5
Utility4.9
Mechanics8.2
Opening Duels6.1
Win Impact3.1

Composite 7.3/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.06+0.00
first ⅓ avg 0.05 → last ⅓ avg 0.06
Reaction time559ms−49ms
first ⅓ avg 608ms → last ⅓ avg 559ms
Headshot accuracy33.3%−1.9%
first ⅓ avg 35.1% → last ⅓ avg 33.3%

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

0.23Best match rating · 13–9 · overpass, 5 Oct →
60%Best headshot accuracy · 3–0 · mirage, 8 Oct →
391msFastest reaction time · 2–13 · inferno, 12 Oct →
13–0Biggest win · mirage, 9 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–7In matches decided by ≤2 rounds

Map breakdown

anubisBest map · 80% over 5ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA2615–1158%0.05
nukeB2110–1148%0.06
vertigoA138–562%0.06
trainD93–633%0.05
cacheB84–450%0.06
ancientD72–529%0.06
dust2D62–433%0.05
anubisS54–180%0.07
inferno—31–233%0.05
overpass—11–0100%0.23
office—10–10%-0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

109Matches
53%Win rate
1.34Avg K/D
98.0ADR
61%Headshot %

Clutches & streaks

28%1v1 clutch win
29%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2365%1.5619.4
Inferno1242%1.3921.5
Dust21136%1.3618.8
Nuke862%1.5918.9
Vertigo757%1.0716.7
Anubis757%1.1821.9
Ancient540%1.4417.0
Cache367%1.3024.0

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.

33.0%Headshot accuracy
38.2%Accuracy (enemy spotted)
41.0%Spray accuracy
86.8%Counter-strafing
10.1°Preaim
557msReaction time
50.2%T opening success
59.0%CT opening success
0.56Enemies flashed / flash
3.8%Flash assists
5.90HE damage / grenade
9.79Flashes / match

Recommended for you

Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient10–130.0533%15 Oct →
dust213–90.0732%15 Oct →
vertigo11–130.0533%15 Oct →
mirage13–3-0.0126%15 Oct →
nuke8–130.0130%15 Oct →
nuke7–20.1851%15 Oct →
mirage13–40.0334%15 Oct →
cache8–130.0240%14 Oct →
mirage9–130.0214%14 Oct →
train4–130.0150%14 Oct →
nuke13–70.0947%14 Oct →
mirage13–60.0533%14 Oct →
cache13–100.1627%14 Oct →
vertigo10–130.1132%14 Oct →
cache9–13-0.0618%12 Oct →
dust212–120.0031%12 Oct →
ancient12–120.1226%12 Oct →
nuke3–13-0.0433%12 Oct →
inferno2–13-0.0130%12 Oct →
anubis13–50.1029%12 Oct →
mirage12–120.0334%12 Oct →
vertigo13–90.0627%12 Oct →
train7–130.0144%12 Oct →
nuke11–130.1042%12 Oct →
vertigo13–110.0432%12 Oct →
train3–130.0829%12 Oct →
mirage13–8-0.0334%9 Oct →
dust210–130.0143%9 Oct →
mirage13–00.1230%9 Oct →
nuke6–130.0536%9 Oct →
mirage13–100.1436%9 Oct →
train13–50.1831%9 Oct →
nuke13–90.0928%9 Oct →
mirage9–130.0928%9 Oct →
ancient8–13-0.0422%9 Oct →
mirage13–30.0533%9 Oct →
nuke13–110.1031%9 Oct →
vertigo13–70.0838%9 Oct →
nuke9–130.0130%8 Oct →
nuke13–70.0937%8 Oct →
mirage12–12-0.0131%8 Oct →
ancient12–12-0.0241%8 Oct →
nuke9–130.1331%8 Oct →
inferno13–70.1644%8 Oct →
mirage3–00.1460%8 Oct →
train3–13-0.0033%8 Oct →
nuke13–30.1746%8 Oct →
train13–2-0.0144%8 Oct →
train11–13-0.0331%8 Oct →
vertigo13–50.1441%8 Oct →
mirage13–110.0541%8 Oct →
mirage5–120.0255%7 Oct →
mirage13–100.0928%7 Oct →
mirage3–13-0.0920%7 Oct →
ancient8–130.1050%7 Oct →
nuke7–130.0238%7 Oct →
mirage13–60.0849%7 Oct →
mirage11–13-0.0034%7 Oct →
train13–80.1053%6 Oct →
nuke13–110.0634%6 Oct →
nuke9–130.0436%5 Oct →
overpass13–90.2343%5 Oct →
mirage12–120.0932%5 Oct →
nuke13–90.0648%5 Oct →
mirage13–20.0732%5 Oct →
nuke13–30.0634%1 Oct →
vertigo13–110.1232%30 Sept →
ancient13–40.1427%30 Sept →
dust213–60.0842%30 Sept →
anubis13–30.0934%30 Sept →
nuke12–120.0247%30 Sept →
anubis13–50.0530%29 Sept →
anubis11–130.0319%29 Sept →
ancient13–70.0740%29 Sept →
mirage10–50.0645%29 Sept →
anubis13–100.0936%29 Sept →
vertigo13–90.0847%29 Sept →
cache13–10.0937%29 Sept →
dust211–130.1129%29 Sept →
cache6–13-0.0326%28 Sept →
nuke6–13-0.0329%28 Sept →
office9–13-0.0338%28 Sept →
nuke13–110.0344%28 Sept →
dust210–130.0438%28 Sept →
inferno9–13-0.0230%28 Sept →
mirage4–130.0133%28 Sept →
vertigo9–13-0.0418%28 Sept →
vertigo12–120.0528%27 Sept →
cache11–130.1738%27 Sept →
mirage1–130.1043%27 Sept →
nuke12–120.0627%27 Sept →
vertigo13–110.0846%27 Sept →
mirage13–60.0543%27 Sept →
vertigo13–00.0535%27 Sept →
train12–120.0649%27 Sept →
mirage9–130.0333%23 Sept →
cache13–60.0030%23 Sept →
vertigo7–13-0.0034%23 Sept →
mirage13–80.0735%23 Sept →
cache13–70.1229%23 Sept →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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