Mad Lunatic

Mad Lunatic — CS2 Stats

FI76561198023389991[U:1:63124263]Steam profile ↗✓ No bans

1,718Tracked matches43%Win rate2020Tracked since
4,810Hours in CS2Hrs last 2 wks
CSDB Rating4.0 DevelopingPositional Player
Premier CS Rating9,286Light Blue band · top ~58.3% 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 19 Sep 2026 (yesterday). 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. 25 days played since 27 Jun 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

Premier CS Rating: 9,286 -720 27 Jun19 Sept · 16 days played
8,16911,753peak 11,75327 Jun19 Sept
12,284Peak Premier in tracked matches
25Days played since 2026-06-27

Premier CS Rating

  • 2,467 below peak (11,753)
  • +285 over 30 days · steady
  • -720 over 90 days
  • Next: Blue band at 10,000 714 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=9,169), 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 3 medianLevel 4 medianvs Level 4
Headshot rate43.1%41.9%42.7%meets
Shot accuracy14.2%12.2%11.3%above
Kill/death ratio1.200.980.99above
Match win rate59.9%43.3%43.9%above

Across every metric we can compare, this profile already matches the typical Level 4 player. Rank still comes from winning matches — this is a performance comparison, not a prediction.

Share this profile

CSDB.GGMad LunaticFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER9,286 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim47
Positioning53
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY44533Last 10044%Win rateLLWLWWWLLL

Last 10 vs previous 10: −20pp win rate · −0.04 avg rating · −0.6pp headshot accuracy · +46ms reaction

Win rate down 20pp 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 -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 685ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 666ms

Last 20

  • 1010 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 643ms

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: Positional PlayerPositioning stands above the rest of this profile (+1.8 against its own average).

Aim4.7
Utility3.6
Positioning5.3
Opening Duels2.6
Clutch2.6

Limited utility dependence

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 80% playstyle similarity

Most alike: positioning profile, 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. 661ms 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

Aim4.7
Positioning5.3
Utility3.6
Mechanics6.4
Opening Duels2.1
Win Impact2.8

Composite 4.0/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time670ms+6ms
first ⅓ avg 663ms → last ⅓ avg 670ms
Headshot accuracy14.7%+0.9%
first ⅓ avg 13.8% → last ⅓ avg 14.7%

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

0.19Best match rating · 13–0 · inferno, 21 Aug
31%Best headshot accuracy · 13–0 · inferno, 21 Aug
516msFastest reaction time · 8–13 · anubis, 24 Jul
13–0Biggest win · inferno, 21 Aug

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
34In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 66% over 29dust2Weakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoS29191066%-0.01
nukeB158753%-0.01
cacheD1331023%-0.01
anubisC135838%-0.02
ancientB126650%0.00
dust2D71614%-0.04
mirageD61517%-0.03
office21150%-0.07
vertigo1010%-0.05
boulder1010%-0.04
eldorado1010%-0.09

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

159,247Lifetime kills
1.20K/D · Top 25% of Level 3 players
10,776Matches
59.9%Match win rate · Top 5% of Level 3 players
43.1%Headshot % · Top 50% of Level 3 players
14.2%Shot accuracy · Top 50% of Level 3 players
16,492MVPs
2,754Hours (in match)
7,896Bombs planted
1,234Bombs defused

Most-used weapons

AK-4750,401
AWP21,881
P2507,086
MP75,466
SG 5534,868

Lifetime map wins

20,515dust2
8,199inferno
4,000nuke
2,483vertigo
1,836train
1,300office
914cbble
176italy

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

Faceit stats

Combat

116Matches
41%Win rate
0.91Avg K/D
74.6ADR
34%Headshot %

Clutches & streaks

33%1v1 clutch win
33%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage650%1.0616.5
Vertigo633%0.9011.7
Anubis540%1.4412.2
Inferno30%0.9918.7
Nuke250%1.6522.0
Ancient250%0.337.5
Dust210%0.397.0

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.

14.3%Headshot accuracy
31.5%Accuracy (enemy spotted)
34.0%Spray accuracy
78.8%Counter-strafing
10.7°Preaim
661msReaction time
38.7%T opening success
38.2%CT opening success
0.39Enemies flashed / flash
4.3%Flash assists
7.65HE damage / grenade
2.21Flashes / 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 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.3261% — below the 15% 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 0.386 — 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 38.7134% — below the 40% mark we flag

Spend your practice time on Dust 2

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
cache10–13-0.037%19 Sept
cache6–130.0110%19 Sept
mirage13–5-0.0120%19 Sept
mirage10–13-0.0517%4 Sept
dust213–4-0.0111%4 Sept
inferno13–80.0220%4 Sept
anubis16–13-0.0111%4 Sept
mirage8–13-0.0528%4 Sept
dust26–13-0.0910%28 Aug
office7–13-0.1113%28 Aug
inferno13–6-0.0413%21 Aug
ancient16–13-0.0011%21 Aug
anubis13–10.0811%21 Aug
nuke5–13-0.0115%21 Aug
nuke13–90.0116%21 Aug
cache4–13-0.0712%21 Aug
dust29–13-0.0710%21 Aug
inferno13–00.1931%21 Aug
inferno7–13-0.0420%18 Aug
anubis13–110.0411%18 Aug
cache13–80.0214%18 Aug
inferno13–10.0117%18 Aug
inferno0–13-0.0913%14 Aug
cache9–130.0614%14 Aug
dust29–13-0.0120%14 Aug
inferno14–16-0.0620%14 Aug
dust27–13-0.057%9 Aug
nuke8–13-0.0214%9 Aug
inferno13–90.0213%9 Aug
cache8–13-0.029%9 Aug
inferno8–13-0.0017%9 Aug
ancient4–130.0114%9 Aug
nuke12–16-0.0620%7 Aug
mirage7–13-0.0210%7 Aug
cache5–13-0.057%7 Aug
anubis6–13-0.0016%7 Aug
cache13–90.0213%7 Aug
nuke7–13-0.0613%7 Aug
inferno13–16-0.0516%7 Aug
nuke13–80.0113%7 Aug
inferno13–7-0.0410%7 Aug
anubis5–13-0.0511%4 Aug
inferno13–7-0.0211%4 Aug
nuke13–10-0.0013%4 Aug
anubis4–13-0.0413%4 Aug
ancient13–11-0.0022%4 Aug
ancient9–130.0419%4 Aug
vertigo12–12-0.053%31 Jul
nuke11–13-0.0416%28 Jul
inferno13–9-0.037%25 Jul
nuke13–70.0016%25 Jul
inferno13–10-0.0011%25 Jul
cache11–13-0.0112%25 Jul
anubis8–13-0.019%24 Jul
inferno10–13-0.0219%24 Jul
ancient13–110.097%24 Jul
inferno13–4-0.0317%24 Jul
nuke13–80.0212%18 Jul
dust23–130.0323%18 Jul
inferno15–15-0.0110%16 Jul
boulder9–13-0.0413%16 Jul
ancient4–130.0122%16 Jul
inferno13–30.0017%16 Jul
cache13–40.0118%16 Jul
ancient16–12-0.0413%16 Jul
mirage10–13-0.018%14 Jul
inferno6–13-0.076%14 Jul
dust21–13-0.0811%14 Jul
nuke9–13-0.0214%14 Jul
nuke13–40.0520%14 Jul
anubis3–9-0.0617%14 Jul
anubis13–10-0.066%14 Jul
inferno15–15-0.0013%13 Jul
inferno13–5-0.0220%13 Jul
inferno13–70.0617%13 Jul
nuke10–13-0.0910%13 Jul
anubis13–60.0014%13 Jul
ancient6–13-0.083%11 Jul
ancient13–80.017%11 Jul
cache9–130.0413%11 Jul
inferno2–13-0.1023%11 Jul
anubis11–13-0.0410%10 Jul
nuke13–80.019%10 Jul
cache9–13-0.0113%9 Jul
inferno13–3-0.0220%9 Jul
eldorado5–9-0.0921%9 Jul
office13–10-0.039%8 Jul
cache6–13-0.0713%7 Jul
inferno13–60.039%7 Jul
mirage12–16-0.0115%5 Jul
ancient8–13-0.0216%3 Jul
inferno13–40.0515%3 Jul
anubis1–13-0.0511%3 Jul
inferno13–9-0.0410%3 Jul
ancient4–130.0415%3 Jul
nuke13–10-0.0220%3 Jul
inferno13–100.0222%3 Jul
anubis7–13-0.0316%27 Jun
inferno13–70.0124%27 Jun
ancient16–130.014%27 Jun

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 →