You mad im back

You mad im back — CS2 Stats

76561199492738255[U:1:1532472527]Steam profile ↗✓ No bans

391Tracked matches66%Win rate2023Tracked since
560Hours in CS1Hrs last 2 wks
CSDB Rating6.5 SolidSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (4 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 391 tracked matches. 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. 30 days played since 30 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

30Days played since 2026-05-30

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=12,658), 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 4 medianLevel 5 medianvs Level 5
Headshot rate46.4%42.7%43.8%above
Shot accuracy2.7%11.2%12.0%9.3% short
Kill/death ratio1.031.001.02meets
Match win rate49.6%43.9%44.7%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGYou mad im backFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim60
Positioning59
Utility68

0–100 skill scores via Leetify.

Recent form

HOT51409Last 10051%Win rateLWWWWWLWWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +1.9pp headshot accuracy · −45ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 41 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 677ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 679ms

Last 20

  • 1361 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 702ms

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 (+1.2 against its own average).

Aim6.0
Utility6.8
Positioning5.9
Opening Duels5.0
Clutch4.6

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.

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 73% 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. 0.81 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 59% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 712ms 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

Aim6.0
Positioning5.9
Utility6.8
Mechanics7.0
Opening Duels4.5
Win Impact10.0

Composite 6.5/10 (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 rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time724ms−30ms
first ⅓ avg 754ms → last ⅓ avg 724ms
Headshot accuracy23.4%−1.1%
first ⅓ avg 24.5% → last ⅓ avg 23.4%

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.

Personal bests

0.17Best match rating · 13–2 · dust2, 3 Sept
100%Best headshot accuracy · 0–13 · mirage, 21 Jul
313msFastest reaction time · 1–6 · dust2, 27 Jun
13–1Biggest win · dust2, 30 Jun

Across the last 100 tracked matches.

Highlights

5Longest win streak
44In matches decided by ≤2 rounds

Map breakdown

officeBest map · 60% over 5mirageWeakest map · 46% over 13
MapGradePlayedRecordWin rateAvg rating
dust2B78413753%-0.01
mirageB136746%-0.02
officeA53260%-0.02
inferno21150%-0.04
overpass1010%-0.07
cache1010%-0.10

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (46% over 13). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,918Lifetime kills
1.03K/D · Top 50% of Level 4 players
1,081Matches
49.6%Match win rate · Top 25% of Level 4 players
46.4%Headshot % · Top 50% of Level 4 players
2.7%Shot accuracy
1,241MVPs
342Hours (in match)
887Bombs planted
144Bombs defused

Most-used weapons

AK-473,983
AWP1,853
HE Grenade337
Molotov120

Lifetime map wins

6,201dust2
490inferno
141office
109nuke
81vertigo
72train
6bank
5italy

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

Faceit stats

Combat

27Matches
48%Win rate
1.50Avg K/D
90.3ADR
42%Headshot %

Clutches & streaks

43%1v1 clutch win
25%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage850%1.5216.1
Dust2560%2.2719.0
Cache40%1.1317.0
Ancient475%1.2215.5
Nuke333%0.9512.3
Inferno1100%2.4024.0
Vertigo1100%1.4722.0
Anubis10%0.9415.0

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
30.0%Accuracy (enemy spotted)
28.6%Spray accuracy
81.6%Counter-strafing
7.0°Preaim
712msReaction time
36.6%T opening success
59.3%CT opening success
0.81Enemies flashed / flash
8.4%Flash assists
13.88HE damage / grenade
7.86Flashes / 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 712.3389ms — above the 700ms mark we flag

    Aim Training
  2. 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 36.646% — below the 40% mark we flag

Spend your practice time on Mirage

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

46% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
office11–13-0.0520%4 Sept
dust213–50.0327%4 Sept
dust213–50.0729%4 Sept
dust213–7-0.0111%4 Sept
dust213–20.1732%3 Sept
dust213–5-0.0123%14 Aug
dust210–13-0.0632%14 Aug
mirage13–60.0025%12 Aug
dust213–9-0.0024%12 Aug
dust26–13-0.0321%11 Aug
dust213–30.0916%11 Aug
office13–11-0.0412%11 Aug
dust213–60.0516%10 Aug
dust213–60.0118%10 Aug
mirage13–10-0.0517%10 Aug
dust21–130.0650%10 Aug
dust213–5-0.0113%10 Aug
dust210–13-0.0027%10 Aug
dust212–120.0118%10 Aug
inferno6–13-0.0335%10 Aug
dust28–13-0.0134%10 Aug
dust213–30.0936%9 Aug
dust211–130.0731%9 Aug
dust211–13-0.099%8 Aug
dust213–9-0.048%8 Aug
office13–80.0220%8 Aug
mirage13–110.0022%7 Aug
dust213–9-0.0027%7 Aug
dust213–7-0.0222%7 Aug
dust210–130.0523%7 Aug
dust212–120.0326%23 Jul
dust22–130.0229%23 Jul
mirage10–13-0.0321%23 Jul
dust24–13-0.0317%23 Jul
dust213–9-0.059%23 Jul
office0–9-0.0525%21 Jul
dust213–9-0.0233%21 Jul
mirage0–13-0.01100%21 Jul
dust213–9-0.0520%21 Jul
dust212–120.0114%21 Jul
dust213–90.0333%21 Jul
dust213–11-0.0327%19 Jul
dust213–5-0.0619%18 Jul
mirage13–30.0325%18 Jul
dust25–13-0.0419%18 Jul
dust213–90.0024%6 Jul
dust213–5-0.0638%6 Jul
dust213–10-0.0126%6 Jul
dust24–13-0.1111%5 Jul
dust213–2-0.0211%5 Jul
dust213–50.0119%5 Jul
dust213–9-0.0720%30 Jun
dust213–10.0331%30 Jun
dust21–6-0.1020%27 Jun
dust29–13-0.0028%27 Jun
dust213–20.0621%27 Jun
dust212–12-0.0413%26 Jun
dust213–10-0.0512%26 Jun
dust211–13-0.0325%26 Jun
dust28–130.0124%25 Jun
dust213–70.0124%25 Jun
inferno13–7-0.0417%25 Jun
dust23–13-0.0812%25 Jun
overpass2–13-0.075%24 Jun
dust22–8-0.0720%23 Jun
dust213–3-0.026%23 Jun
dust213–10-0.1110%23 Jun
dust29–13-0.0545%23 Jun
mirage8–13-0.0529%23 Jun
dust213–6-0.0150%22 Jun
dust212–12-0.0614%22 Jun
dust210–00.0713%22 Jun
dust212–12-0.0618%22 Jun
dust26–13-0.1019%20 Jun
mirage2–13-0.0818%20 Jun
dust213–70.0319%20 Jun
dust213–10-0.0036%20 Jun
dust213–60.029%16 Jun
dust26–13-0.0423%16 Jun
dust213–50.0232%16 Jun
dust21–7-0.088%16 Jun
mirage9–13-0.0128%14 Jun
dust25–13-0.0828%14 Jun
dust212–12-0.0215%14 Jun
dust21–70.0229%12 Jun
office13–100.0428%12 Jun
cache6–13-0.100%10 Jun
mirage6–130.0142%10 Jun
dust26–13-0.0932%10 Jun
dust213–11-0.0717%4 Jun
dust213–20.0231%4 Jun
mirage2–7-0.0350%2 Jun
dust20–13-0.0836%2 Jun
dust213–9-0.0718%2 Jun
dust29–13-0.0221%30 May
mirage13–6-0.0318%30 May
mirage13–30.0218%30 May
dust212–120.0524%30 May
dust210–130.0221%30 May
dust212–120.0321%30 May

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →