legit1m

legit1m — CS2 Stats

LU76561197992538732[U:1:32273004]Steam profile ↗✓ No bans

1,021Tracked matches36%Win rate2021Tracked since
CSDB Rating5.5 SolidSupport
Premier CS Rating23,027Top 25% of 215,386 CSDB-tracked playersPink band · top ~5.2% of ranked players (population est.)
CSDB Leaderboard#43868 of 261504 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Nov 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,021 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 23,027 -1,564 25 May – 2 Nov · 37 days played
22,85225,287peak 25,28725 May2 Nov
25,547Peak Premier in tracked matches
34Days played since 2026-05-25

Premier CS Rating

  • 2,260 below peak (25,287)
  • 0 over 30 days · steady
  • +175 over 90 days
  • Next: Red band at 25,000 — 1,973 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-14
  • Purple band first seen 2026-09-14

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

Share this profile

CSDB.GGlegit1mFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER23,027 · Pink bandcsdb.gg/stats

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Performance scores

Aim85
Positioning40
Utility60

0–100 skill scores via Leetify.

Recent form

COLD47–51–2Last 10047%Win rateLLLLWTWTLL

Last 10 vs previous 10: −30pp win rate · +0.00 avg rating · +0.1pp headshot accuracy · −57ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 542ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 509ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • 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: Support — Utility contribution stands above the rest of this profile (+2.8 against its own average).

Aim8.5
Utility6.0
Positioning4.0
Opening Duels1.7
Clutch1.2

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

NiKo

Plays most like NiKo 82% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 45 points — deaths here waste a strong aim profile.

Reaction time. 559ms 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

Aim8.5
Positioning4.0
Utility6.0
Mechanics7.0
Opening Duels0.7
Win Impact0.2

Composite 5.5/10 (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 rating0.02+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time574ms+4ms
first ⅓ avg 570ms → last ⅓ avg 574ms
Headshot accuracy19.3%+0.3%
first ⅓ avg 19.0% → last ⅓ avg 19.3%

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

0.17Best match rating · 13–5 · mirage, 6 Aug →
34%Best headshot accuracy · 6–13 · ancient, 26 May →
391msFastest reaction time · 4–13 · dust2, 29 May →
13–1Biggest win · inferno, 13 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L4Current streak
6–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

mirageBest map · 75% over 8infernoWeakest map · 33% over 24
MapGradePlayedRecordWin rateAvg rating
dust2C2511–1444%0.02
infernoD248–1633%0.00
nukeB137–654%0.01
anubisC114–736%-0.03
ancientA95–456%0.03
cacheA85–363%0.01
mirageS86–275%0.02
overpass—21–150%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

199Matches
57%Win rate
1.19Avg K/D
89.6ADR
40%Headshot %

Clutches & streaks

26%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1369%1.1816.9
Mirage1275%1.3016.0
Inferno1155%1.3920.6
Ancient520%0.9314.8
Nuke450%1.1019.0
Vertigo250%2.7619.5
Overpass2100%1.9815.0
Dust21100%2.0050.0

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.

19.4%Headshot accuracy
38.2%Accuracy (enemy spotted)
42.4%Spray accuracy
81.4%Counter-strafing
8.2°Preaim
559msReaction time
34.8%T opening success
31.0%CT opening success
0.52Enemies flashed / flash
5.4%Flash assists
10.52HE damage / grenade
11.48Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 34.7548% — below the 40% mark we flag

Spend your practice time on Inferno

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

33% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno2–13-0.0513%10 Sept →
cache9–130.0114%10 Sept →
inferno2–13-0.0719%10 Sept →
dust28–130.0223%9 Sept →
dust213–100.0212%8 Sept →
anubis15–150.0017%8 Sept →
ancient13–100.0616%29 Aug →
inferno15–150.0323%29 Aug →
anubis3–13-0.0433%27 Aug →
inferno10–13-0.0216%17 Aug →
anubis16–14-0.0116%17 Aug →
dust25–13-0.0218%17 Aug →
dust25–13-0.0917%14 Aug →
cache13–20.0225%14 Aug →
inferno8–13-0.0722%14 Aug →
dust211–13-0.0423%7 Aug →
ancient13–70.0514%7 Aug →
anubis13–80.1015%7 Aug →
inferno13–100.0319%7 Aug →
inferno5–13-0.0316%6 Aug →
nuke5–130.0123%6 Aug →
mirage13–50.1714%6 Aug →
dust213–30.0633%6 Aug →
nuke14–16-0.0330%19 Jul →
dust29–130.0413%18 Jul →
ancient11–13-0.0118%17 Jul →
dust212–160.0222%17 Jul →
cache13–50.0828%17 Jul →
ancient10–130.0918%17 Jul →
inferno9–130.0019%17 Jul →
dust27–130.0514%16 Jul →
nuke13–100.1018%16 Jul →
nuke13–70.0819%16 Jul →
inferno16–130.0119%14 Jul →
cache10–13-0.086%14 Jul →
dust210–13-0.0318%13 Jul →
cache13–110.0925%13 Jul →
dust213–60.1213%13 Jul →
inferno13–10.1321%13 Jul →
inferno10–130.0119%13 Jul →
cache13–100.0516%12 Jul →
ancient6–13-0.0528%12 Jul →
inferno10–13-0.0317%12 Jul →
cache13–1-0.0111%12 Jul →
dust213–100.0514%12 Jul →
anubis3–13-0.026%12 Jul →
mirage13–80.0212%11 Jul →
dust210–13-0.0111%11 Jul →
anubis13–7-0.0711%10 Jul →
inferno13–30.028%9 Jul →
mirage8–130.087%9 Jul →
cache6–13-0.0226%9 Jul →
dust216–120.0216%9 Jul →
nuke13–5-0.0522%9 Jul →
nuke13–60.0516%2 Jul →
nuke11–130.0125%2 Jul →
mirage13–80.0016%28 Jun →
inferno10–130.0322%28 Jun →
ancient13–80.0717%28 Jun →
anubis13–7-0.0110%26 Jun →
overpass13–10-0.0329%25 Jun →
overpass3–13-0.0021%25 Jun →
inferno10–13-0.0028%25 Jun →
mirage13–11-0.0518%25 Jun →
anubis8–13-0.0714%25 Jun →
inferno11–130.0415%22 Jun →
dust213–10-0.0220%22 Jun →
inferno4–13-0.0713%22 Jun →
inferno3–13-0.077%22 Jun →
inferno13–70.0724%18 Jun →
ancient16–130.0123%18 Jun →
anubis0–13-0.097%18 Jun →
nuke16–140.0514%12 Jun →
dust27–130.0311%12 Jun →
ancient13–90.0027%12 Jun →
mirage13–10-0.0120%12 Jun →
anubis5–13-0.0721%12 Jun →
dust214–160.0430%6 Jun →
inferno8–130.0226%6 Jun →
dust213–11-0.0114%5 Jun →
nuke7–130.0123%5 Jun →
dust211–130.0020%4 Jun →
nuke13–50.0417%4 Jun →
dust24–130.0124%29 May →
dust213–100.0823%29 May →
inferno6–130.0219%29 May →
mirage13–30.0132%29 May →
inferno13–100.027%29 May →
nuke13–60.0719%28 May →
inferno13–80.0222%28 May →
anubis5–13-0.0417%27 May →
dust213–90.0712%26 May →
dust24–130.0219%26 May →
ancient6–130.0634%26 May →
inferno13–6-0.0112%25 May →
nuke7–13-0.138%25 May →
mirage9–13-0.0531%25 May →
dust213–11-0.0324%25 May →
nuke4–13-0.0218%25 May →
dust213–7-0.0312%25 May →

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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