skill issue

skill issue — CS2 Stats

76561197999243409[U:1:38977681]Steam profile ↗✓ No bans

1,152Tracked matches47%Win rate2020Tracked since
CSDB Rating5.6 SolidHybrid Rifler
Premier CS Rating15,137Purple band · top ~27.9% of ranked players (population est.)
CSDB Leaderboard#5652 of 8692 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGskill issueFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER15,137 · Purple bandcsdb.gg/stats

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Performance scores

Aim68
Positioning52
Utility64

0–100 skill scores via Leetify.

Recent form

HOT49474Last 10049%Win rateWLLWWWLWWW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

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

Aim6.8
Aggression7.5
Utility6.4
Positioning5.2
Opening Duels3.1
Clutch6.0

Strong 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

b1t

Plays most like b1t 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

Strengths

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 51% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 582ms 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

Aim6.8
Positioning5.2
Utility6.4
Mechanics6.0
Opening Duels3.1
Win Impact3.9

Composite 5.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time604ms−27ms
first ⅓ avg 631ms → last ⅓ avg 604ms
Headshot accuracy21.9%+0.1%
first ⅓ avg 21.8% → last ⅓ avg 21.9%

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

0.13Best rating — mirage 13–7
131Biggest win — dust2
4Longest win streak
47In matches decided by ≤2 rounds
4Overtime games

Map breakdown

anubisBest map · 58% over 12ancientWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
dust2A169756%0.00
ancientC167944%-0.00
cacheB157847%0.01
infernoB136746%-0.01
anubisA127558%-0.01
mirageB126650%-0.01
nukeB115645%0.02
train31233%0.04
vertigo110100%0.07
office1010%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

5Matches
0%Win rate
0.97Avg K/D
73.1ADR
46%Headshot %

Clutches & streaks

50%1v1 clutch win
14%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust210%1.2520.0
Inferno10%0.578.0
Ancient10%0.6210.0

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.

22.3%Headshot accuracy
33.4%Accuracy (enemy spotted)
35.3%Spray accuracy
77.0%Counter-strafing
10.8°Preaim
582msReaction time
33.9%T opening success
51.2%CT opening success
0.75Enemies flashed / flash
5.5%Flash assists
10.87HE damage / grenade
7.53Flashes / 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 33.868% — below the 40% mark we flag

Spend your practice time on Ancient

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

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–8-0.0215%23 Aug
cache3–13-0.0421%23 Aug
cache8–13-0.0120%23 Aug
nuke13–70.0921%23 Aug
dust213–1-0.0317%23 Aug
anubis13–40.0820%21 Aug
anubis11–13-0.0222%21 Aug
dust213–70.0129%19 Aug
mirage13–6-0.0320%19 Aug
cache13–100.0416%19 Aug
dust213–40.0437%14 Aug
inferno11–13-0.0223%9 Aug
ancient11–130.0131%9 Aug
anubis2–13-0.0521%9 Aug
mirage9–13-0.0721%8 Aug
dust29–130.0227%8 Aug
dust213–100.0626%6 Aug
anubis13–7-0.048%6 Aug
inferno13–110.0022%6 Aug
anubis13–90.0224%3 Aug
nuke10–13-0.0421%1 Aug
nuke9–130.0123%26 Jul
ancient10–13-0.0815%26 Jul
nuke10–130.0119%26 Jul
mirage7–13-0.0218%26 Jul
dust25–13-0.0625%26 Jul
dust210–13-0.0533%26 Jul
inferno8–13-0.0617%22 Jul
dust213–60.0127%22 Jul
ancient13–100.0628%22 Jul
inferno8–13-0.0418%22 Jul
mirage13–40.0217%22 Jul
cache13–2-0.0122%18 Jul
inferno13–80.0421%18 Jul
ancient8–13-0.0321%18 Jul
nuke10–13-0.0321%17 Jul
cache11–130.0233%17 Jul
ancient7–13-0.0214%17 Jul
mirage7–13-0.0528%16 Jul
inferno6–13-0.0625%14 Jul
dust24–13-0.0312%14 Jul
dust213–50.0332%14 Jul
cache13–5-0.0323%14 Jul
dust213–11-0.0235%14 Jul
dust212–160.0120%12 Jul
cache13–10.1129%12 Jul
anubis13–11-0.0514%12 Jul
ancient13–70.0225%11 Jul
anubis9–130.0027%11 Jul
anubis13–40.0513%5 Jul
train13–110.0831%5 Jul
cache10–13-0.0635%5 Jul
nuke13–40.0536%5 Jul
vertigo13–60.0719%3 Jul
cache13–70.0524%3 Jul
inferno13–9-0.0319%3 Jul
ancient7–13-0.0739%30 Jun
ancient13–20.0230%30 Jun
anubis13–10-0.0122%30 Jun
anubis11–13-0.0629%24 Jun
mirage15–15-0.0733%24 Jun
ancient7–13-0.0232%23 Jun
inferno13–50.0920%23 Jun
ancient13–9-0.0125%20 Jun
nuke11–130.0130%20 Jun
inferno10–130.0017%20 Jun
inferno4–13-0.0524%20 Jun
mirage13–70.1310%19 Jun
ancient13–70.0426%13 Jun
dust213–70.0311%13 Jun
ancient4–13-0.0021%13 Jun
anubis13–5-0.0420%13 Jun
nuke13–100.0228%13 Jun
ancient13–40.0013%13 Jun
dust213–70.0132%13 Jun
ancient10–13-0.0320%11 Jun
nuke16–130.0237%11 Jun
ancient8–13-0.0116%10 Jun
dust29–130.0220%10 Jun
nuke10–130.0119%7 Jun
mirage13–10-0.0137%7 Jun
inferno13–90.0426%7 Jun
dust215–15-0.0313%7 Jun
ancient13–30.1135%7 Jun
mirage13–3-0.0216%7 Jun
mirage11–13-0.0116%5 Jun
cache6–13-0.0414%30 May
anubis3–13-0.0623%30 May
nuke13–80.0622%30 May
train3–130.0417%30 May
inferno13–80.0918%30 May
inferno2–13-0.0715%24 May
train12–12-0.0024%24 May
mirage1–13-0.0229%24 May
cache8–130.0719%15 May
cache12–120.0433%15 May
mirage13–60.0617%15 May
office5–13-0.0120%15 May
cache13–90.0424%10 May
cache3–13-0.0629%10 May

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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