Mr.Lee

Mr.Lee — CS2 Stats

KR76561198132307339[U:1:172041611]Steam profile ↗✓ No bans

561Tracked matches46%Win rate2020Tracked since
1,704Hours in CS10Hrs last 2 wks
CSDB Rating6.1 SolidPositional Player
Premier CS Rating21,778Top 50% of 210,832 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)
CSDB Leaderboard#58563 of 257783 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (2 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: 21,778 +114 14 Mar – 25 Oct · 22 days played
20,69423,680peak 23,68014 Mar25 Oct
23,680Peak Premier in tracked matches
54Days played since 2026-03-14

Premier CS Rating

  • 1,902 below peak (23,680)
  • Next: Red band at 25,000 — 3,222 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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate45.3%46.8%48.2%2.9% short
Shot accuracy17.0%13.0%13.2%above
Kill/death ratio1.171.061.07above
Match win rate47.6%46.3%46.9%meets

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGMr.LeeFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER21,778 · Pink bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim77
Positioning64
Utility35

0–100 skill scores via Leetify.

Recent form

COLD47–50–3Last 10047%Win rateLLLWWLLLLW

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · +3.8pp headshot accuracy · +15ms reaction

Win rate down 20pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 481ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 495ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 488ms

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 (+3.2 against its own average).

Aim7.7
Utility3.5
Positioning6.4
Opening Duels1.7
Clutch1.2

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

ropz

Plays most like ropz 85% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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

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

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

Aim7.7
Positioning6.4
Utility3.5
Mechanics7.2
Opening Duels3.8
Win Impact3.8

Composite 6.1/10 (Solid), 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 rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time493ms−84ms
first ⅓ avg 577ms → last ⅓ avg 493ms
Headshot accuracy19.4%−0.7%
first ⅓ avg 20.1% → last ⅓ avg 19.4%

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

0.19Best match rating · 13–8 · dust2, 22 Oct →
38%Best headshot accuracy · 13–10 · inferno, 16 Aug →
375msFastest reaction time · 12–12 · office, 10 Oct →
13–0Biggest win · dust2, 22 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
8–8In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 79% over 14mirageWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
ancientC156–940%-0.02
cacheS1411–379%-0.01
anubisA127–558%0.01
nukeD123–925%-0.01
dust2C125–742%0.00
infernoC94–544%-0.02
mirageD70–70%-0.01
overpassA74–357%0.00
train—43–175%0.06
office—31–233%0.00
vertigo—21–150%0.00
poseidon—21–150%0.07
fachwerk—11–0100%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (0% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

57,034Lifetime kills
1.17K/D · Top 50% of Level 8 players
2,976Matches
47.6%Match win rate · Top 50% of Level 8 players
45.3%Headshot %
17.0%Shot accuracy · Top 25% of Level 8 players
7,800MVPs
879Hours (in match)
2,982Bombs planted
661Bombs defused

Most-used weapons

Lifetime map wins

3,704inferno
1,997dust2
1,387cbble
1,202nuke
903vertigo
651train
365office
161safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

218Matches
55%Win rate
0.96Avg K/D
69.5ADR
47%Headshot %

Clutches & streaks

26%1v1 clutch win
13%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient4048%0.8713.3
Inferno2171%0.9614.4
Anubis2065%0.9613.2
Cache1963%0.9714.8
Dust21724%0.649.8
Mirage1354%0.7612.8
Nuke1267%0.9914.2
Overpass967%1.2817.4

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.

19.0%Headshot accuracy
32.4%Accuracy (enemy spotted)
32.5%Spray accuracy
82.6%Counter-strafing
8.9°Preaim
495msReaction time
46.8%T opening success
43.9%CT opening success
0.42Enemies flashed / flash
3.9%Flash assists
8.60HE damage / grenade
3.51Flashes / 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. 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 0.416 — 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.

0% 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
anubis9–13-0.0022%25 Oct →
nuke10–13-0.0313%25 Oct →
dust211–13-0.0324%25 Oct →
dust213–80.1921%22 Oct →
dust213–00.0226%22 Oct →
ancient6–13-0.0513%22 Oct →
mirage10–130.0419%22 Oct →
inferno6–13-0.0314%22 Oct →
mirage10–13-0.0228%22 Oct →
inferno13–80.0136%19 Oct →
overpass13–4-0.0119%19 Oct →
overpass0–50.0129%19 Oct →
ancient2–13-0.0214%19 Oct →
cache13–5-0.0816%18 Oct →
inferno13–3-0.069%15 Oct →
cache13–3-0.0214%15 Oct →
mirage15–150.0118%15 Oct →
cache7–130.0115%11 Oct →
office12–12-0.0223%10 Oct →
train13–50.1122%10 Oct →
inferno9–13-0.0519%10 Oct →
anubis6–130.0026%8 Oct →
vertigo13–3-0.0420%27 Sept →
cache16–14-0.0120%13 Sept →
anubis13–40.0114%13 Sept →
ancient7–130.0019%13 Sept →
nuke13–5-0.0510%12 Sept →
anubis13–110.0216%10 Sept →
dust27–13-0.0524%9 Sept →
nuke13–16-0.0110%8 Sept →
ancient5–13-0.0814%6 Sept →
dust213–100.0320%6 Sept →
anubis13–90.0330%4 Sept →
ancient7–00.000%4 Sept →
cache13–00.0028%4 Sept →
nuke10–13-0.0123%4 Sept →
ancient11–13-0.0419%3 Sept →
dust211–130.0232%2 Sept →
poseidon9–20.1833%2 Sept →
dust213–30.0315%1 Sept →
ancient13–1-0.019%31 Aug →
nuke9–130.0316%23 Aug →
anubis6–13-0.0416%23 Aug →
mirage8–13-0.0017%22 Aug →
nuke9–00.0212%22 Aug →
anubis7–13-0.0118%22 Aug →
inferno10–13-0.0911%22 Aug →
dust26–13-0.0518%21 Aug →
nuke6–9-0.1020%20 Aug →
poseidon8–8-0.0421%20 Aug →
vertigo5–90.0520%20 Aug →
ancient14–16-0.0318%20 Aug →
ancient2–13-0.0723%20 Aug →
nuke13–80.0124%18 Aug →
ancient13–11-0.0212%18 Aug →
train11–13-0.0721%18 Aug →
dust210–13-0.0115%17 Aug →
mirage7–130.0012%17 Aug →
inferno13–10-0.0238%16 Aug →
cache13–10.0413%3 Aug →
cache13–50.0127%3 Aug →
fachwerk13–110.0715%29 Jul →
cache13–10-0.0824%28 Jul →
cache13–100.0624%9 Jun →
nuke3–13-0.0418%20 May →
cache13–20.0924%10 May →
nuke11–13-0.0516%8 May →
dust29–13-0.0415%5 May →
ancient13–4-0.0119%2 May →
cache8–130.0131%2 May →
inferno9–20.1324%2 May →
cache6–13-0.0916%1 May →
cache13–3-0.0133%1 May →
inferno6–13-0.0122%1 May →
cache13–6-0.0322%26 Apr →
anubis6–13-0.0118%25 Apr →
train13–30.1615%24 Apr →
train13–00.0514%24 Apr →
ancient16–140.0115%22 Apr →
overpass13–110.0224%19 Apr →
dust213–16-0.0526%15 Apr →
anubis13–9-0.0024%15 Apr →
ancient8–130.0413%15 Apr →
anubis13–40.1027%1 Apr →
nuke13–160.0524%1 Apr →
anubis13–110.0316%1 Apr →
overpass8–130.0023%31 Mar →
nuke7–130.0217%30 Mar →
mirage4–13-0.0619%29 Mar →
dust213–0-0.026%28 Mar →
mirage11–13-0.0621%25 Mar →
office9–130.0030%24 Mar →
office13–40.0321%24 Mar →
overpass13–80.0623%23 Mar →
ancient13–11-0.0128%20 Mar →
overpass14–16-0.0414%17 Mar →
ancient7–13-0.0314%14 Mar →
anubis13–5-0.0119%14 Mar →
inferno4–13-0.0919%14 Mar →
overpass13–8-0.0110%14 Mar →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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