lil rat — CS2 Stats

76561198216735609[U:1:256469881]✓ No bans

806Tracked matches62%Win rate2020Tracked since
CSDB Rating5.9 SolidPassive Rifler
Premier CS Rating22,621Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.6% of ranked players (population est.)
CSDB Leaderboard#12816 of 53820 tracked
Ladder ranks via Leetify

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CSDB.GGlil ratPREMIER22,621 · Pink bandcsdb.gg/stats

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Performance scores

Aim85
Positioning31
Utility50

0–100 skill scores via Leetify.

Recent form

STEADY55441Last 10055%Win rateLWWLWLWWLL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim8.5
Aggression3.9
Utility5.0
Positioning3.1
Opening Duels0.0

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.

Your pro match

NiKo

Plays most like NiKo 80% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower opening-duel success; 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 85 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 54 points — deaths here waste a strong aim profile.

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

Reaction time. 590ms 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
Positioning3.1
Utility5.0
Mechanics6.5
Opening Duels0.0
Win Impact9.0

Composite 5.9/10 (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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time592ms+34ms
first ⅓ avg 558ms → last ⅓ avg 592ms
Headshot accuracy20.6%+3.2%
first ⅓ avg 17.5% → last ⅓ avg 20.6%

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.

Highlights

0.12Best rating — dust2 15–15
130Biggest win — ancient
4Longest win streak
126In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 78% over 18infernoWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B32161650%-0.00
ancientS1814478%0.01
mirageB189950%0.01
anubisA106460%0.01
nukeS75271%0.00
infernoD72529%-0.02
overpassC52340%-0.01
cache31233%-0.02

Across the last 100 tracked matches.

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

Faceit stats

Combat

84Matches
57%Win rate
1.14Avg K/D
ADR
39%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLLW

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.

21.4%Headshot accuracy
37.6%Accuracy (enemy spotted)
39.5%Spray accuracy
79.4%Counter-strafing
6.8°Preaim
590msReaction time
28.2%T opening success
30.2%CT opening success
0.53Enemies flashed / flash
6.1%Flash assists
8.82HE damage / grenade
10.85Flashes / 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 28.2131% — 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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis8–130.0311%15 Jul
nuke13–10.0050%14 Jul
ancient13–00.0017%14 Jul
mirage8–130.0516%13 Jul
cache13–0-0.0413%12 Jul
cache3–7-0.0125%12 Jul
anubis13–110.0213%12 Jul
dust213–100.0313%12 Jul
dust28–130.0216%12 Jul
cache13–160.009%11 Jul
inferno13–110.0115%11 Jul
dust213–5-0.0238%11 Jul
anubis16–140.0815%11 Jul
dust213–20.0416%11 Jul
dust215–150.1224%11 Jul
mirage8–130.0119%11 Jul
mirage3–13-0.1014%11 Jul
ancient13–110.0427%10 Jul
mirage13–6-0.0215%5 Jul
mirage13–5-0.0125%5 Jul
dust26–13-0.0125%5 Jul
overpass2–0-0.010%4 Jul
dust213–4-0.0920%4 Jul
dust25–13-0.13100%4 Jul
mirage13–2-0.0940%4 Jul
mirage13–60.095%4 Jul
dust25–13-0.0211%4 Jul
inferno13–70.0117%3 Jul
inferno0–13-0.0533%3 Jul
overpass13–110.0212%3 Jul
ancient1–13-0.110%3 Jul
mirage11–130.0312%3 Jul
ancient13–4-0.0114%3 Jul
mirage6–13-0.049%3 Jul
mirage12–160.0020%3 Jul
dust22–13-0.0318%3 Jul
anubis13–6-0.0238%30 Jun
anubis13–1-0.010%30 Jun
ancient13–60.0138%28 Jun
dust213–60.0831%28 Jun
dust25–130.0228%28 Jun
ancient13–60.0520%27 Jun
dust25–13-0.0117%27 Jun
inferno11–13-0.0519%27 Jun
dust216–140.0413%26 Jun
nuke13–70.0321%26 Jun
mirage13–3-0.0121%26 Jun
nuke7–13-0.0614%25 Jun
dust211–13-0.0319%24 Jun
anubis13–40.0022%24 Jun
nuke13–50.0129%24 Jun
inferno11–130.0117%23 Jun
ancient13–3-0.0021%23 Jun
anubis3–13-0.0428%21 Jun
inferno9–13-0.075%21 Jun
mirage6–10.1260%21 Jun
dust22–13-0.0429%21 Jun
overpass1–13-0.0517%21 Jun
dust29–13-0.046%21 Jun
ancient16–140.0516%21 Jun
ancient13–6-0.0510%20 Jun
mirage13–90.0020%13 Jun
dust213–9-0.0115%13 Jun
mirage6–130.0116%12 Jun
dust213–110.0118%11 Jun
mirage13–100.0429%11 Jun
ancient13–110.0916%9 Jun
dust25–13-0.0218%8 Jun
dust213–6-0.0317%7 Jun
dust23–13-0.130%7 Jun
anubis10–130.0513%7 Jun
ancient11–13-0.0023%7 Jun
dust210–13-0.0927%7 Jun
dust213–70.1021%6 Jun
nuke9–3-0.0121%6 Jun
dust213–110.1030%6 Jun
ancient13–20.0218%5 Jun
mirage9–13-0.0423%5 Jun
overpass9–13-0.029%5 Jun
dust213–6-0.0313%5 Jun
dust24–0-0.0625%5 Jun
inferno10–130.0218%4 Jun
mirage10–130.0313%4 Jun
mirage13–90.0628%4 Jun
ancient13–110.0125%4 Jun
nuke13–80.0423%4 Jun
ancient13–80.1010%4 Jun
dust27–130.019%4 Jun
ancient13–100.0114%31 May
dust213–70.019%31 May
nuke7–130.0120%31 May
ancient13–60.0319%31 May
dust213–20.0919%31 May
overpass10–130.0218%31 May
ancient14–160.0328%30 May
ancient9–13-0.057%29 May
anubis9–130.014%25 May
dust28–13-0.0313%25 May
dust213–60.1225%24 May
anubis13–2-0.0420%24 May

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 →