mmmmm

mmmmm — CS2 Stats

76561199237896535[U:1:1277630807]Steam profile ↗

1,419Tracked matches47%Win rate2022Tracked since
CSDB Rating4.3 Developing
Premier CS Rating3,999Grey band · top ~83% of ranked players (population est.)
CSDB Leaderboard#19551 of 25224 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGmmmmmFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER3,999 · Grey bandcsdb.gg/stats

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Performance scores

Aim48
Positioning48
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY49456Last 10049%Win rateLWLWLLLWWL

Last 10 vs previous 10: -30pp win rate · +0.02 avg rating

Player DNA

Aim4.8
Aggression7.8
Utility6.6
Positioning4.8
Opening Duels2.4
Clutch7.2

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

Twistzz

Plays most like Twistzz 84% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: higher opening-fight frequency; 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. 643ms 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

Aim4.8
Positioning4.8
Utility6.6
Mechanics5.1
Opening Duels2.4
Win Impact3.9

Composite 4.3/10 (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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time641ms−21ms
first ⅓ avg 662ms → last ⅓ avg 641ms
Headshot accuracy24.1%+7.5%
first ⅓ avg 16.6% → last ⅓ avg 24.1%

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

0.19Best rating — inferno 13–5
130Biggest win — dust2
4Longest win streak
58In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 60% over 5infernoWeakest map · 36% over 22
MapGradePlayedRecordWin rateAvg rating
mirageB22111150%-0.00
infernoC2281436%0.02
dust2A2213959%-0.01
ancientA169756%0.01
nukeB63350%0.02
cacheA53260%-0.01
train32167%-0.00
anubis2020%-0.02
overpass2020%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 22). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

18Matches
28%Win rate
0.72Avg K/D
63.1ADR
51%Headshot %

Clutches & streaks

56%1v1 clutch win
14%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage714%0.7210.7
Inferno367%1.0312.3
Dust22100%1.0814.5
Ancient20%0.7013.5

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.

23.0%Headshot accuracy
27.8%Accuracy (enemy spotted)
25.3%Spray accuracy
73.1%Counter-strafing
9.2°Preaim
643msReaction time
45.1%T opening success
34.2%CT opening success
0.63Enemies flashed / flash
4.4%Flash assists
6.48HE damage / grenade
33.78Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.1882% — below the 40% mark we flag

Spend your practice time on Inferno

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

36% win rate across 22 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke9–130.0733%28 Aug
mirage13–50.0730%25 Aug
inferno3–40.0136%24 Aug
dust213–20.0844%20 Aug
inferno9–130.0219%19 Aug
nuke11–13-0.0533%19 Aug
mirage8–13-0.0124%19 Aug
dust213–00.0633%12 Aug
cache13–10-0.0940%9 Aug
inferno5–130.0422%5 Aug
cache13–70.0420%3 Aug
inferno13–100.0521%3 Aug
dust213–70.015%3 Aug
ancient16–140.0218%3 Aug
inferno14–160.0217%2 Aug
mirage13–10-0.0712%1 Aug
anubis11–130.0227%1 Aug
cache13–6-0.0020%1 Aug
mirage13–60.0127%26 Jul
dust28–13-0.1216%18 Jul
cache11–13-0.0322%18 Jul
dust213–80.0137%18 Jul
dust211–13-0.0310%17 Jul
ancient13–30.0523%16 Jul
ancient8–130.0119%16 Jul
mirage9–130.0333%16 Jul
ancient10–13-0.0324%16 Jul
inferno13–70.0217%16 Jul
inferno8–130.0313%12 Jul
ancient11–13-0.0419%12 Jul
cache15–150.0134%11 Jul
ancient3–13-0.0024%11 Jul
mirage13–50.0118%11 Jul
inferno6–130.0126%11 Jul
inferno13–11-0.0332%9 Jul
inferno13–100.0524%9 Jul
inferno13–10-0.0013%4 Jul
inferno9–13-0.0313%4 Jul
mirage5–00.0163%27 Jun
nuke13–30.1436%27 Jun
mirage7–130.0232%27 Jun
mirage5–130.0016%26 Jun
nuke16–120.0018%25 Jun
dust27–13-0.0326%25 Jun
nuke13–100.0030%25 Jun
dust23–12-0.07100%25 Jun
mirage15–150.0622%22 Jun
ancient9–50.0114%22 Jun
ancient6–130.0627%22 Jun
ancient13–10-0.079%13 Jun
inferno6–13-0.0623%8 Jun
inferno10–130.0324%8 Jun
ancient6–0-0.0117%8 Jun
mirage13–9-0.0128%28 May
inferno8–130.0629%28 May
inferno13–80.0514%21 May
dust213–6-0.0318%21 May
dust212–12-0.0023%13 May
dust213–70.0213%3 May
inferno12–12-0.0217%1 May
inferno5–13-0.0521%26 Apr
inferno3–11-0.0340%26 Apr
inferno13–50.1927%23 Apr
ancient7–2-0.0329%23 Apr
dust213–7-0.0117%17 Apr
ancient7–130.0222%17 Apr
ancient10–13-0.0312%17 Apr
dust213–50.0514%11 Apr
dust213–11-0.028%4 Apr
dust212–120.0118%2 Apr
mirage13–6-0.0410%29 Mar
dust213–30.0631%29 Mar
dust213–11-0.0222%19 Mar
mirage4–130.0031%12 Feb
dust27–13-0.0422%30 Jan
mirage6–13-0.0818%30 Jan
dust23–13-0.0218%29 Jan
nuke8–13-0.0226%27 Jan
inferno13–20.1020%26 Jan
overpass10–13-0.0516%25 Jan
ancient13–50.0418%25 Jan
dust211–13-0.1213%25 Jan
anubis10–13-0.0624%23 Jan
overpass7–13-0.009%23 Jan
dust213–60.0720%23 Jan
mirage12–12-0.0212%21 Jan
mirage13–5-0.009%20 Jan
mirage13–70.0314%20 Jan
train16–140.0428%19 Jan
mirage13–7-0.0016%19 Jan
mirage0–13-0.0625%19 Jan
inferno8–13-0.0813%19 Jan
mirage6–13-0.0411%19 Jan
train7–13-0.088%19 Jan
dust213–9-0.0010%18 Jan
train13–60.0423%17 Jan
mirage12–160.0111%17 Jan
mirage13–40.035%16 Jan
ancient16–130.0913%16 Jan
ancient13–100.0512%14 Jan

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →