C0mpl1cated

C0mpl1cated — CS2 Stats

76561199093604321[U:1:1133338593]Steam profile ↗✓ No bans

745Tracked matches31%Win rate2022Tracked since
820Hours in CS2Hrs last 2 wks
CSDB Rating2.7 Learning
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=673), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate41.6%41.2%42.2%meets
Shot accuracy5.9%12.5%11.9%5.9% short
Kill/death ratio0.820.960.980.16 short
Match win rate42.2%42.8%43.6%1.4% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGC0mpl1catedFACEITLevel 2STANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim39
Positioning33
Utility13

0–100 skill scores via Leetify.

Recent form

STEADY43534Last 10043%Win rateWLWLLWWLTL

Last 10 vs previous 10: +20pp win rate · -0.02 avg rating

Player DNA

Aim3.9
Aggression3.7
Utility1.3
Positioning3.3
Opening Duels0.3
Clutch2.6

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 64% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 701ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.9
Positioning3.3
Utility1.3
Mechanics3.9
Opening Duels0.6
Win Impact0.0

Composite 2.7/10 (Learning), 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-0.04−0.03
first ⅓ avg -0.01 → last ⅓ avg -0.04
Reaction time694ms−52ms
first ⅓ avg 746ms → last ⅓ avg 694ms
Headshot accuracy17.4%−0.6%
first ⅓ avg 17.9% → last ⅓ avg 17.4%

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

0.10Best rating — mirage 13–3
131Biggest win — nuke
5Longest win streak
510In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 54% over 13ancientWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageC37162143%-0.01
dust2B28131546%-0.03
nukeB137654%-0.03
ancientD92722%-0.02
anubisC73443%-0.04
infernoC52340%-0.06
overpass1010%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,441Lifetime kills
0.82K/D
1,007Matches
42.2%Match win rate
41.6%Headshot % · Top 50% of Level 2 players
5.9%Shot accuracy
2,028MVPs
345Hours (in match)
735Bombs planted
147Bombs defused

Most-used weapons

Lifetime map wins

1,338nuke
1,311dust2
584inferno
385vertigo
306train
84office
36lake
13cbble

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

116Matches
46%Win rate
0.84Avg K/D
74.8ADR
39%Headshot %

Clutches & streaks

33%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3951%0.9613.3
Nuke1250%0.8613.8
Anubis1258%0.7613.0
Dust21155%0.8613.8
Ancient743%0.9714.6
Inferno633%1.0016.0
Vertigo667%1.0715.0
Train10%0.244.0

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.

18.0%Headshot accuracy
29.8%Accuracy (enemy spotted)
29.1%Spray accuracy
67.4%Counter-strafing
8.9°Preaim
701msReaction time
27.2%T opening success
35.1%CT opening success
0.35Enemies flashed / flash
2.8%Flash assists
3.87HE damage / grenade
1.51Flashes / 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. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 700.6288ms — above the 700ms mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.3471 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 27.1501% — 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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–6-0.0416%25 Aug
mirage6–13-0.0930%21 Aug
dust213–5-0.0221%19 Aug
inferno6–13-0.069%26 Jul
ancient9–13-0.0312%6 Jul
mirage13–3-0.0910%5 Jul
anubis13–7-0.0540%4 Jul
mirage11–13-0.0124%3 Jul
dust215–150.0119%26 Jun
anubis1–13-0.1024%24 Jun
dust210–13-0.0619%23 Jun
mirage10–13-0.0724%22 Jun
dust210–13-0.0925%22 Jun
nuke4–130.017%22 Jun
dust211–130.0317%21 Jun
dust28–13-0.0513%20 Jun
dust26–13-0.087%20 Jun
mirage13–40.0420%20 Jun
mirage13–4-0.0514%18 Jun
ancient9–130.0112%17 Jun
mirage9–13-0.077%15 Jun
dust27–13-0.0624%12 Jun
dust213–5-0.0317%11 Jun
dust216–14-0.0333%10 Jun
nuke6–13-0.0436%4 Jun
ancient4–13-0.073%4 Jun
dust213–10-0.0414%26 May
nuke11–13-0.0318%24 May
nuke4–13-0.098%23 May
dust27–13-0.107%23 May
mirage9–130.0024%20 May
ancient10–130.0118%13 May
inferno5–5-0.105%2 May
nuke15–15-0.0216%15 Apr
inferno11–13-0.0418%12 Apr
nuke13–8-0.0325%9 Apr
mirage9–130.0213%8 Apr
mirage13–90.0125%30 Mar
nuke13–50.0130%29 Mar
dust26–13-0.073%29 Mar
dust213–7-0.079%27 Mar
mirage12–16-0.0615%23 Mar
mirage13–50.0219%19 Mar
mirage16–140.0223%12 Mar
mirage2–13-0.0220%12 Mar
mirage1–13-0.090%3 Mar
dust28–13-0.0914%28 Feb
mirage9–13-0.008%27 Feb
mirage9–130.0121%27 Feb
anubis13–9-0.0313%26 Feb
ancient6–130.0011%26 Feb
anubis12–16-0.0920%26 Feb
nuke13–80.0042%25 Feb
dust213–30.0518%25 Feb
mirage13–110.0219%24 Feb
nuke16–13-0.0120%22 Feb
mirage16–130.0124%22 Feb
mirage10–13-0.0615%22 Feb
dust212–12-0.0812%22 Feb
anubis13–6-0.0123%21 Feb
dust213–30.0017%21 Feb
nuke13–10-0.0318%20 Feb
dust213–60.0021%18 Feb
anubis8–130.0214%16 Feb
dust213–10-0.0317%13 Feb
mirage7–13-0.0424%12 Feb
dust210–13-0.0417%12 Feb
ancient13–16-0.0510%12 Feb
dust23–13-0.0712%9 Feb
mirage7–8-0.0318%6 Feb
anubis11–130.0110%6 Feb
mirage13–30.0216%6 Feb
mirage6–13-0.063%5 Feb
nuke13–10.0019%5 Feb
mirage9–130.0419%4 Feb
mirage5–130.0125%2 Feb
ancient16–13-0.0118%2 Feb
dust213–90.0324%1 Feb
mirage13–40.0324%31 Jan
ancient9–13-0.0218%30 Jan
mirage13–20.0215%30 Jan
dust215–15-0.0425%30 Jan
overpass5–13-0.0419%29 Jan
mirage11–13-0.0119%28 Jan
inferno13–10-0.0413%24 Jan
nuke13–10-0.098%24 Jan
mirage4–13-0.0615%22 Jan
inferno13–11-0.0510%22 Jan
dust213–40.0030%22 Jan
mirage13–4-0.0119%21 Jan
mirage5–60.0042%21 Jan
mirage13–20.0325%20 Jan
mirage1–13-0.059%19 Jan
ancient13–6-0.0313%19 Jan
dust211–13-0.0124%18 Jan
mirage11–130.0432%18 Jan
nuke4–13-0.050%17 Jan
mirage16–12-0.0014%17 Jan
dust213–90.0222%17 Jan
mirage13–30.1024%16 Jan

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 →