skill issue

skill issue — CS2 Stats

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

1,162Tracked matches53%Win rate2020Tracked since
CSDB Rating5.8 SolidSupport
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (9 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 33 days played since 30 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 15,000 +3,494 5 Jun8 Sept · 25 days played
11,50616,874peak 16,8745 Jun8 Sept
16,977Peak Premier in tracked matches
33Days played since 2026-05-30

Premier CS Rating

  • 1,874 below peak (16,874)
  • +109 over 30 days · steady
  • +2,120 over 90 days
  • Next: Pink band at 20,000 5,000 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGskill issueFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER15,000 · Purple bandcsdb.gg/stats

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Performance scores

Aim70
Positioning50
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY50482Last 10050%Win rateLWLWLLWWLL

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · +3.3pp headshot accuracy · −19ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 24%
  • Avg reaction 570ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 23%
  • Avg reaction 559ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 569ms

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: SupportUtility contribution stands above the rest of this profile (+1 against its own average).

Aim7.0
Utility6.3
Positioning5.0
Opening Duels3.7
Clutch6.0

Effective flashes

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

jL

Plays most like jL 84% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

Areas to improve

Reaction time. 577ms 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

Aim7.0
Positioning5.0
Utility6.3
Mechanics6.2
Opening Duels2.4
Win Impact6.1

Composite 5.8/10 (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 time573ms−58ms
first ⅓ avg 631ms → last ⅓ avg 573ms
Headshot accuracy22.2%−0.7%
first ⅓ avg 22.9% → last ⅓ avg 22.2%

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

0.13Best match rating · 13–7 · mirage, 19 Jun
39%Best headshot accuracy · 7–13 · ancient, 30 Jun
383msFastest reaction time · 4–13 · ancient, 13 Jun
13–1Biggest win · dust2, 23 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
47In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 62% over 13nukeWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2A1911858%-0.00
ancientC167944%-0.00
anubisA138562%-0.01
cacheB136746%-0.01
mirageB126650%-0.01
nukeC125742%0.01
infernoC125742%-0.02
train21150%0.06
vertigo110100%0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Nuke 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
Ancient10%0.6210.0
Dust210%1.2520.0
Inferno10%0.578.0

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
32.6%Accuracy (enemy spotted)
38.2%Spray accuracy
77.9%Counter-strafing
10.6°Preaim
577msReaction time
32.6%T opening success
46.9%CT opening success
0.71Enemies flashed / flash
6.0%Flash assists
9.53HE damage / grenade
8.17Flashes / 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 32.626% — 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.

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust29–130.0319%8 Sept
mirage16–120.0415%8 Sept
nuke3–13-0.0628%8 Sept
anubis13–7-0.0328%3 Sept
cache7–13-0.0429%3 Sept
mirage6–13-0.097%3 Sept
dust213–10-0.0523%3 Sept
dust213–9-0.0624%28 Aug
cache6–13-0.0426%28 Aug
inferno3–13-0.1033%28 Aug
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

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 →