Big Tiddied Goth Moth — CS2 Stats

76561198246954340[U:1:286688612]

1,431Tracked matches50%Win rate2021Tracked since
CSDB Rating3.9 Learning
FaceitLevel 4 · 1,035 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian II
Ladder ranks via Leetify

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CSDB.GGBig Tiddied Goth MothFACEITLevel 4 · 1,035 ELOSTANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim58
Positioning33
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY44497Last 10044%Win rateLLWLTTWWWL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

Aim5.8
Aggression1.8
Utility4.1
Positioning3.3
Opening Duels0.0
Clutch7.0

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 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower aim profile; lower opening-fight frequency.

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. 596ms 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

Aim5.8
Positioning3.3
Utility4.1
Mechanics5.5
Opening Duels0.1
Win Impact5.0

Composite 3.9/10 (Learning), 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-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time584ms+18ms
first ⅓ avg 566ms → last ⅓ avg 584ms
Headshot accuracy16.4%+3.4%
first ⅓ avg 13.0% → last ⅓ avg 16.4%

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

0.13Best rating — inferno 9–5
132Biggest win — anubis
5Longest win streak
L2Current streak
67In matches decided by ≤2 rounds
8Overtime games

Map breakdown

ancientBest map · 80% over 5nukeWeakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
infernoA1810856%-0.02
nukeD1551033%-0.01
mirageB158753%-0.02
dust2C135838%-0.04
overpassA74357%-0.02
officeD62433%-0.02
ancientS54180%-0.02
cacheC52340%-0.02
vertigo42250%-0.01
anubis31233%-0.03
debris2020%-0.02
train21150%-0.07
warden2020%-0.02
shelter1010%-0.04
poseidon1010%-0.23
palacio1010%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

35Matches
34%Win rate
0.59Avg K/D
57.3ADR
38%Headshot %

Clutches & streaks

55%1v1 clutch win
11%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage757%0.7110.6
Ancient333%0.8113.3
Nuke20%0.6911.0
Dust220%0.387.0
Inferno250%0.6612.5

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.

16.5%Headshot accuracy
31.6%Accuracy (enemy spotted)
39.2%Spray accuracy
74.8%Counter-strafing
10.6°Preaim
596msReaction time
23.1%T opening success
31.1%CT opening success
0.43Enemies flashed / flash
3.1%Flash assists
12.37HE damage / grenade
6.48Flashes / 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. 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 0.4268 — below the 0.5 mark we flag

    Grenade Lineups
  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 23.0819% — 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.

33% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
dust25–13-0.0714%15 Aug
dust23–13-0.0310%15 Aug
inferno13–50.0015%4 Aug
nuke13–16-0.0016%4 Aug
debris8–8-0.0312%29 Jul
nuke8–8-0.0913%29 Jul
inferno13–30.0018%29 Jul
vertigo13–60.014%29 Jul
dust213–8-0.0517%24 Jul
shelter8–13-0.0414%14 Jul
debris8–8-0.0218%14 Jul
office6–13-0.090%14 Jul
dust214–16-0.0116%2 Jul
inferno10–13-0.0816%1 Jul
nuke13–10-0.0110%1 Jul
dust213–11-0.0415%23 Jun
inferno15–15-0.0328%22 Jun
ancient7–13-0.0417%22 Jun
mirage13–8-0.0314%22 Jun
inferno9–50.1324%19 Jun
mirage15–15-0.0615%19 Jun
train5–13-0.0513%19 Jun
dust25–13-0.0716%10 Jun
nuke7–130.0422%10 Jun
warden3–13-0.0436%10 Jun
overpass13–10-0.0917%10 Jun
dust26–13-0.0622%10 Jun
cache13–40.0339%4 Jun
mirage13–9-0.0135%4 Jun
inferno13–8-0.0611%3 Jun
mirage13–80.0010%3 Jun
ancient13–3-0.0111%3 Jun
cache2–11-0.056%3 Jun
vertigo13–60.0318%3 Jun
vertigo11–13-0.0617%3 Jun
poseidon2–9-0.230%8 May
nuke7–9-0.0518%7 May
cache11–13-0.0315%7 May
cache11–13-0.0520%7 May
inferno5–9-0.1014%5 May
cache13–30.0210%4 May
mirage8–13-0.0724%1 Feb
office5–13-0.0731%31 Jan
overpass7–13-0.0011%31 Jan
dust213–100.0219%31 Jan
inferno12–16-0.090%30 Jan
dust22–20.030%29 Jan
inferno10–13-0.064%27 Jan
dust23–6-0.070%27 Jan
mirage13–100.068%26 Jan
inferno13–90.037%26 Jan
office13–110.0111%26 Jan
anubis5–13-0.090%26 Jan
mirage10–13-0.049%25 Jan
inferno13–8-0.0712%25 Jan
warden9–130.015%25 Jan
office12–12-0.0016%25 Jan
mirage3–13-0.115%25 Jan
inferno13–10-0.0312%25 Jan
nuke5–130.0614%25 Jan
inferno7–2-0.0922%24 Jan
inferno13–50.0317%24 Jan
anubis5–13-0.068%24 Jan
nuke8–13-0.0113%24 Jan
vertigo7–13-0.027%24 Jan
train13–9-0.0822%24 Jan
ancient13–11-0.090%24 Jan
dust213–11-0.0815%24 Jan
overpass13–8-0.0510%23 Jan
nuke15–150.0110%23 Jan
mirage7–13-0.0414%23 Jan
overpass9–13-0.066%23 Jan
anubis13–20.0515%23 Jan
mirage13–50.0612%23 Jan
nuke9–13-0.069%21 Jan
mirage13–80.0411%21 Jan
inferno12–20.0625%20 Jan
overpass9–00.096%20 Jan
nuke13–30.0716%20 Jan
palacio3–13-0.0616%20 Jan
nuke13–5-0.0214%20 Jan
nuke6–13-0.047%20 Jan
nuke13–70.0317%16 Jan
inferno13–16-0.0114%11 Jan
ancient13–10-0.0017%11 Jan
dust213–8-0.0413%11 Jan
mirage13–11-0.0110%11 Jan
ancient13–110.0212%11 Jan
mirage5–13-0.0012%11 Jan
nuke8–13-0.0417%11 Jan
overpass4–13-0.0410%9 Jan
inferno11–13-0.0316%8 Jan
mirage9–13-0.105%8 Jan
mirage13–60.0612%7 Jan
inferno9–13-0.0516%7 Jan
nuke13–100.0214%6 Jan
office10–130.0016%6 Jan
office13–30.0427%6 Jan
overpass13–7-0.006%6 Jan
dust212–16-0.029%6 Jan

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 →