Inept

Inept — CS2 Stats

AU76561198041156042[U:1:80890314]Steam profile ↗

3,041Tracked matches48%Win rate2020Tracked since
CSDB Rating6.1 SolidHybrid Rifler
Premier CS Rating13,434Blue band · top ~36.7% of ranked players (population est.)
CSDB Leaderboard#18206 of 27058 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGIneptFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,434 · Blue bandcsdb.gg/stats

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Performance scores

Aim86
Positioning50
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY45478Last 10045%Win rateWWLWTWWWLL

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

Player DNA

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

Aim8.6
Aggression5.9
Utility5.6
Positioning5.0
Opening Duels3.6

Sharp aimerStrong CT-side openerEffective flashes

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

iM

Plays most like iM 92% playstyle similarity

Most alike: aim profile, opening-fight frequency.

Where you differ: 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 86 — the mechanical foundation is a clear strength.

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 63% on CT to 26% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 556ms 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

Aim8.6
Positioning5.0
Utility5.6
Mechanics7.5
Opening Duels4.1
Win Impact4.4

Composite 6.1/10 (Solid), 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 rating0.04−0.01
first ⅓ avg 0.05 → last ⅓ avg 0.04
Reaction time560ms−67ms
first ⅓ avg 626ms → last ⅓ avg 560ms
Headshot accuracy21.1%−1.2%
first ⅓ avg 22.2% → last ⅓ avg 21.1%

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

0.19Best rating — office 13–9
131Biggest win — dust2
6Longest win streak
W2Current streak
59In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 70% over 10nukeWeakest map · 33% over 21
MapGradePlayedRecordWin rateAvg rating
nukeD2171433%0.02
mirageB189950%0.05
infernoC146843%0.04
cacheB126650%0.06
dust2B115645%0.03
ancientS107370%0.05
anubisA53260%0.01
train31233%0.08
overpass3030%-0.00
office31233%0.10

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 21). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7Matches
29%Win rate
1.23Avg K/D
ADR
31%Headshot %

Clutches & streaks

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

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10%1.0715.0
Ancient10%0.609.0

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.

20.3%Headshot accuracy
38.9%Accuracy (enemy spotted)
38.5%Spray accuracy
83.7%Counter-strafing
8.4°Preaim
556msReaction time
26.2%T opening success
62.7%CT opening success
0.70Enemies flashed / flash
7.4%Flash assists
8.46HE damage / grenade
6.58Flashes / 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 26.2392% — below the 40% mark we flag

Spend your practice time on Nuke

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 21 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–100.0622%28 Aug
mirage13–70.1732%28 Aug
mirage7–130.0213%28 Aug
ancient13–80.0114%28 Aug
cache15–150.0221%28 Aug
anubis13–100.0216%27 Aug
dust213–10.1715%27 Aug
nuke13–90.0818%26 Aug
ancient4–13-0.0816%26 Aug
inferno5–13-0.0515%26 Aug
mirage11–130.0929%26 Aug
anubis7–130.0320%26 Aug
mirage11–30.0624%26 Aug
mirage13–80.0319%26 Aug
dust213–80.0016%26 Aug
inferno10–130.0020%25 Aug
nuke8–130.0333%25 Aug
ancient13–40.0931%25 Aug
dust213–50.0921%25 Aug
dust28–13-0.0217%25 Aug
nuke8–13-0.0221%24 Aug
mirage16–120.0313%24 Aug
ancient11–130.0019%24 Aug
anubis12–7-0.0121%24 Aug
nuke13–80.0714%24 Aug
mirage9–130.0016%24 Aug
nuke3–13-0.0121%24 Aug
nuke5–13-0.0617%18 Aug
nuke11–130.0116%17 Aug
mirage5–13-0.0145%17 Aug
ancient13–50.1325%17 Aug
inferno11–130.1728%15 Aug
nuke13–80.1329%15 Aug
nuke13–11-0.0233%15 Aug
cache13–30.1546%15 Aug
nuke15–150.0716%5 Aug
mirage13–40.1021%5 Aug
cache13–70.0417%5 Aug
inferno3–13-0.0420%5 Aug
nuke8–13-0.0334%2 Aug
cache7–130.0028%2 Aug
train13–70.1526%30 Jul
dust23–13-0.0422%30 Jul
mirage8–130.0624%30 Jul
inferno10–130.0315%9 Jul
cache9–130.1122%9 Jul
nuke11–130.0325%9 Jul
ancient13–110.0413%5 Jul
dust210–13-0.0322%5 Jul
inferno13–11-0.0416%5 Jul
anubis13–110.0312%3 Jul
mirage4–130.0426%3 Jul
ancient12–120.0220%3 Jul
mirage13–100.0626%1 Jul
cache2–13-0.0420%1 Jul
dust211–130.0120%1 Jul
nuke11–13-0.0521%1 Jul
nuke13–30.0344%21 Jun
inferno13–50.0720%21 Jun
ancient13–40.1120%21 Jun
cache13–60.1419%21 Jun
cache13–4-0.0127%20 Jun
dust213–5-0.0725%8 Jun
mirage6–13-0.0434%6 Jun
inferno13–30.0513%6 Jun
dust26–13-0.0417%6 Jun
mirage13–80.1014%5 Jun
cache5–13-0.0117%4 Jun
inferno13–100.0524%4 Jun
ancient13–90.1414%4 Jun
nuke9–130.049%4 Jun
inferno15–150.0919%4 Jun
overpass2–13-0.0212%2 Jun
nuke2–13-0.0627%2 Jun
anubis6–130.0118%2 Jun
ancient13–110.049%31 May
nuke15–15-0.0611%31 May
inferno11–130.0716%30 May
office3–13-0.0528%30 May
office13–90.1935%30 May
mirage13–80.0535%30 May
nuke13–70.0031%30 May
nuke5–130.0719%29 May
cache11–130.0626%29 May
train7–130.0420%29 May
inferno3–130.0138%29 May
office12–120.1525%27 May
dust212–120.1619%27 May
mirage5–130.0520%27 May
nuke12–120.0329%27 May
overpass10–130.0125%27 May
inferno13–70.1712%26 May
cache13–100.0839%26 May
train8–130.0528%26 May
overpass4–130.0026%26 May
inferno13–20.0319%26 May
dust213–60.0718%26 May
nuke13–50.1131%26 May
mirage2–13-0.0417%26 May
cache13–90.1419%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 →