Lk-

Lk- — CS2 Stats

NO76561198014690255[U:1:54424527]Steam profile ↗✓ No bans

1,038Tracked matches48%Win rate2020Tracked since
CSDB Rating6.6 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,038 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 20,954 +354 19 Apr – 6 Jul · 27 days played
19,43122,387peak 22,38719 Apr6 Jul
Faceit ELO: 1,037 +0 13 Sept – 21 Sept · 2 observations
1,0371,037peak 1,03713 Sept21 Sept
22,674Peak Premier in tracked matches
1,037Highest Faceit ELO seen on CSDB
36Days played since 2026-04-19

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.

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Performance scores

Aim81
Positioning64
Utility57

0–100 skill scores via Leetify.

Recent form

COLD51–45–4Last 10051%Win rateLLLLLWLLWW

Last 10 vs previous 10: −40pp win rate · −0.01 avg rating · −7.9pp headshot accuracy · +27ms reaction

Win rate down 40pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 669ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 648ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 635ms

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 (+1.1 against its own average).

Aim8.1
Utility5.7
Positioning6.4
Opening Duels6.0
Clutch3.0

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 96% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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

Reaction time. 622ms 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
Positioning6.4
Utility5.7
Mechanics7.7
Opening Duels4.7
Win Impact4.4

Composite 6.6/10 (Solid), 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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time626ms+18ms
first ⅓ avg 608ms → last ⅓ avg 626ms
Headshot accuracy17.2%+0.3%
first ⅓ avg 16.9% → last ⅓ avg 17.2%

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

0.13Best match rating · 13–3 · mirage, 14 May →
44%Best headshot accuracy · 13–5 · dust2, 19 Jun →
406msFastest reaction time · 10–13 · office, 2 May →
13–0Biggest win · dust2, 5 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L5Current streak
10–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 70% over 10mirageWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C3415–1944%0.00
infernoA2214–864%0.02
mirageD113–827%0.00
cacheA106–460%0.01
ancientS107–370%-0.00
nukeA74–357%0.02
overpass—32–167%0.01
train—10–10%0.03
office—10–10%-0.04
anubis—10–10%-0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (27% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

138Matches
53%Win rate
1.11Avg K/D
82.7ADR
40%Headshot %

Clutches & streaks

35%1v1 clutch win
23%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Dust22941%1.1316.3
Mirage2352%0.9614.1
Inferno2374%1.4718.7
Ancient520%1.0513.0
Cache580%0.8212.4
Nuke425%0.8715.0
Anubis30%1.0717.0
Overpass367%1.0414.7

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.

16.7%Headshot accuracy
41.5%Accuracy (enemy spotted)
43.3%Spray accuracy
84.5%Counter-strafing
9.8°Preaim
622msReaction time
43.1%T opening success
54.2%CT opening success
0.60Enemies flashed / flash
8.3%Flash assists
8.33HE damage / grenade
6.73Flashes / match

Recommended for you

Spend your practice time on Mirage

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage3–13-0.066%23 Aug →
cache8–13-0.077%9 Aug →
cache8–13-0.073%24 Jul →
mirage10–13-0.0011%24 Jul →
dust211–130.0620%6 Jul →
inferno13–80.0713%4 Jul →
inferno7–130.0319%4 Jul →
ancient8–13-0.0514%27 Jun →
dust213–100.0717%27 Jun →
inferno16–140.0511%22 Jun →
nuke7–13-0.0216%20 Jun →
ancient13–80.0220%20 Jun →
dust211–13-0.0331%20 Jun →
inferno13–50.0524%20 Jun →
dust213–50.0444%19 Jun →
cache16–140.0615%19 Jun →
inferno16–130.029%19 Jun →
overpass13–10-0.017%13 Jun →
inferno13–11-0.0017%13 Jun →
mirage9–13-0.0118%12 Jun →
dust213–110.0215%12 Jun →
dust215–150.0120%11 Jun →
inferno6–13-0.0824%11 Jun →
dust211–13-0.049%11 Jun →
mirage6–13-0.0115%8 Jun →
nuke7–13-0.0413%8 Jun →
nuke13–30.0421%8 Jun →
dust213–70.0511%7 Jun →
dust25–130.0129%7 Jun →
cache11–10.0743%7 Jun →
mirage13–100.0719%5 Jun →
dust213–00.0118%5 Jun →
overpass11–130.0111%5 Jun →
dust22–13-0.0417%5 Jun →
nuke13–90.0115%5 Jun →
inferno13–80.0114%5 Jun →
mirage10–130.0121%4 Jun →
ancient13–11-0.0419%4 Jun →
ancient13–6-0.0313%2 Jun →
dust213–6-0.0515%2 Jun →
dust211–13-0.0124%30 May →
inferno13–80.0910%30 May →
mirage5–13-0.0119%30 May →
inferno13–8-0.0124%30 May →
inferno6–13-0.0114%29 May →
mirage8–130.0224%29 May →
dust213–100.0319%29 May →
nuke13–10.1233%29 May →
cache4–130.0414%29 May →
dust27–13-0.0528%29 May →
inferno13–10-0.0015%28 May →
dust210–130.008%28 May →
mirage13–7-0.0214%26 May →
inferno5–13-0.0314%26 May →
dust213–9-0.0411%26 May →
train11–130.0317%24 May →
cache12–120.0330%24 May →
inferno13–90.0730%23 May →
inferno6–13-0.0018%23 May →
nuke13–30.0315%23 May →
mirage4–13-0.0810%14 May →
mirage13–30.1311%14 May →
nuke10–13-0.018%14 May →
dust213–50.0422%14 May →
dust213–110.0211%14 May →
dust213–10-0.0315%14 May →
ancient13–9-0.006%14 May →
inferno13–5-0.0118%11 May →
dust210–13-0.0322%11 May →
inferno13–110.0418%11 May →
inferno6–130.0030%9 May →
dust24–13-0.0123%9 May →
ancient13–30.0615%9 May →
dust213–8-0.0113%9 May →
inferno13–60.1019%4 May →
dust213–110.0923%4 May →
ancient11–13-0.0211%3 May →
dust213–50.0213%3 May →
office10–13-0.0423%2 May →
cache13–3-0.0116%2 May →
cache13–60.0022%1 May →
cache13–70.0818%1 May →
cache13–70.0325%1 May →
dust211–130.0518%27 Apr →
ancient13–100.0219%27 Apr →
dust29–13-0.0112%26 Apr →
dust211–13-0.0322%26 Apr →
dust210–130.0410%25 Apr →
anubis1–13-0.0211%25 Apr →
inferno13–100.0912%25 Apr →
dust216–14-0.0520%25 Apr →
inferno3–13-0.029%25 Apr →
ancient6–13-0.0412%25 Apr →
dust215–15-0.0114%24 Apr →
inferno9–130.0119%24 Apr →
dust215–15-0.0414%20 Apr →
overpass16–120.0310%20 Apr →
dust212–160.009%20 Apr →
dust25–13-0.0727%19 Apr →
ancient13–110.0513%19 Apr →

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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