L o r d  K o w s k i

L o r d K o w s k i — CS2 Stats

DK76561197960922241[U:1:656513]Steam profile ↗✓ No bans

2,507Tracked matches45%Win rate2020Tracked since
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating13,958Blue band · top ~33.9% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (3 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: 13,958 +1,291 27 Jun – 23 Oct · 31 days played
12,44915,542peak 15,54227 Jun23 Oct
15,542Peak Premier in tracked matches
34Days played since 2026-06-27

Premier CS Rating

  • 1,584 below peak (15,542)
  • -1,041 over 30 days · declining
  • +288 over 90 days
  • Next: Purple band at 15,000 — 1,042 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-09
  • Light Blue band first seen 2026-09-09

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

Share this profile

CSDB.GGL o r d K o w s k iFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER13,958 · Blue bandcsdb.gg/stats

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Performance scores

Aim53
Positioning53
Utility23

0–100 skill scores via Leetify.

Recent form

COLD45–50–5Last 10045%Win rateLTWLLLLLWL

Last 10 vs previous 10: −50pp win rate · −0.01 avg rating · −1.5pp headshot accuracy · +31ms reaction

Win rate down 50pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 599ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 607ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 592ms

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 (+1.9 against its own average).

Aim5.3
Utility2.3
Positioning5.3
Opening Duels2.6

Strong CT-side openerLimited 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

donk

Plays most like donk 88% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 584ms 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

Aim5.3
Positioning5.3
Utility2.3
Mechanics6.5
Opening Duels3.9
Win Impact3.3

Composite 4.5/10 (Developing), 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 rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time584ms−95ms
first ⅓ avg 680ms → last ⅓ avg 584ms
Headshot accuracy11.0%−1.7%
first ⅓ avg 12.8% → last ⅓ avg 11.0%

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

0.10Best match rating · 13–3 · nuke, 23 Oct →
50%Best headshot accuracy · 0–13 · dust2, 20 Jul →
344msFastest reaction time · 3–13 · mirage, 9 Oct →
13–0Biggest win · dust2, 12 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
2–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 58% over 19mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C3013–1743%-0.04
infernoA1911–858%-0.02
cacheC176–1135%-0.02
ancientB168–850%-0.03
nukeB84–450%-0.02
mirageD72–529%-0.04
anubis—31–233%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

140Matches
54%Win rate
1.04Avg K/D
—ADR
30%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLLW

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.

10.9%Headshot accuracy
35.3%Accuracy (enemy spotted)
36.4%Spray accuracy
79.4%Counter-strafing
12.4°Preaim
584msReaction time
42.1%T opening success
48.8%CT opening success
0.42Enemies flashed / flash
0.0%Flash assists
8.76HE damage / grenade
0.96Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.3883° — above the 12° mark we flag

    Aim Training →
  2. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 10.9344% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.419 — below the 0.5 mark we flag

    Grenade Lineups →
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.

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache10–13-0.057%23 Oct →
inferno15–15-0.0813%23 Oct →
nuke13–30.1018%23 Oct →
nuke9–13-0.0418%22 Oct →
dust210–13-0.0815%22 Oct →
cache8–130.0011%22 Oct →
anubis10–13-0.069%19 Oct →
inferno8–130.0110%19 Oct →
cache13–40.019%18 Oct →
dust29–13-0.083%18 Oct →
mirage11–13-0.058%18 Oct →
mirage13–20.0415%18 Oct →
inferno13–90.0110%13 Oct →
ancient13–11-0.077%13 Oct →
ancient11–13-0.0010%13 Oct →
inferno13–2-0.0119%12 Oct →
mirage13–10-0.0012%12 Oct →
dust213–0-0.0117%12 Oct →
nuke6–13-0.0710%10 Oct →
cache13–8-0.0118%10 Oct →
inferno13–9-0.097%10 Oct →
mirage7–13-0.0417%10 Oct →
cache11–13-0.057%9 Oct →
mirage7–13-0.0411%9 Oct →
ancient13–16-0.0614%9 Oct →
mirage3–13-0.1410%9 Oct →
nuke13–1-0.036%9 Oct →
ancient13–90.019%27 Sept →
anubis13–9-0.0111%27 Sept →
nuke6–13-0.075%27 Sept →
anubis7–13-0.0410%27 Sept →
dust27–13-0.0714%26 Sept →
inferno8–13-0.007%26 Sept →
ancient6–13-0.0411%26 Sept →
ancient9–130.009%26 Sept →
dust213–9-0.069%26 Sept →
ancient13–10-0.0312%25 Sept →
ancient13–8-0.0113%25 Sept →
cache15–15-0.0212%24 Sept →
dust213–6-0.009%24 Sept →
dust215–15-0.027%19 Sept →
dust25–13-0.0716%19 Sept →
ancient13–80.0411%19 Sept →
dust213–7-0.0714%17 Sept →
inferno13–110.0117%17 Sept →
inferno10–13-0.0415%17 Sept →
ancient11–13-0.0113%13 Sept →
inferno13–8-0.0413%13 Sept →
cache6–13-0.0724%11 Sept →
inferno13–7-0.047%11 Sept →
dust26–13-0.0211%8 Sept →
ancient6–13-0.0216%8 Sept →
ancient13–5-0.093%6 Sept →
dust213–6-0.049%6 Sept →
inferno6–13-0.0618%5 Sept →
ancient16–13-0.0411%5 Sept →
dust213–5-0.0414%5 Sept →
inferno4–13-0.049%2 Sept →
dust28–13-0.065%28 Aug →
dust210–130.028%28 Aug →
cache13–9-0.0316%27 Aug →
dust216–12-0.0213%27 Aug →
dust28–13-0.094%21 Aug →
ancient13–9-0.0712%21 Aug →
cache13–10-0.027%21 Aug →
inferno13–10-0.059%10 Aug →
inferno7–13-0.0411%10 Aug →
cache8–130.0010%10 Aug →
nuke13–30.0215%10 Aug →
cache15–15-0.0310%8 Aug →
cache14–16-0.0111%8 Aug →
dust213–9-0.0611%8 Aug →
cache11–13-0.0712%7 Aug →
inferno13–90.0416%7 Aug →
dust29–13-0.0812%7 Aug →
dust215–15-0.0012%5 Aug →
dust213–70.0118%5 Aug →
dust213–50.0111%23 Jul →
nuke3–13-0.089%23 Jul →
cache4–130.0310%23 Jul →
inferno13–70.0013%23 Jul →
dust213–10-0.0420%23 Jul →
inferno13–100.0511%21 Jul →
cache13–8-0.018%21 Jul →
cache5–13-0.0215%20 Jul →
dust29–130.027%20 Jul →
nuke13–90.0319%20 Jul →
dust20–13-0.0950%20 Jul →
cache16–13-0.007%19 Jul →
dust213–5-0.0121%19 Jul →
dust29–13-0.054%19 Jul →
dust26–13-0.0611%10 Jul →
inferno13–8-0.0211%10 Jul →
dust213–30.018%10 Jul →
inferno9–130.0312%10 Jul →
mirage8–13-0.0212%5 Jul →
dust25–13-0.0622%5 Jul →
dust24–13-0.077%5 Jul →
ancient13–16-0.031%27 Jun →
ancient10–13-0.048%27 Jun →

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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