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lilnuggy

lilnuggy — CS2 Stats

76561198413730884[U:1:453465156]Steam profile ↗

292Tracked matches43%Win rate2023Tracked since
CSDB Rating2.6 Learning
Ladder ranks via Leetify

Performance scores

Aim35
Positioning26
Utility2

0–100 skill scores via Leetify.

Recent form

STEADY42–50–8Last 10042%Win rateWLLLLWLLWW

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

Player DNA

Aim3.5
Aggression3.2
Utility0.2
Positioning2.6
Opening Duels0.0

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 62% playstyle similarity

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

Where you differ: lower aim profile; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 595ms 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

Aim3.5
Positioning2.6
Utility0.2
Mechanics5.2
Opening Duels0.0
Win Impact2.6

Composite 2.6/10 (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+0.02
first ⅓ avg -0.06 → last ⅓ avg -0.04
Reaction time600ms−54ms
first ⅓ avg 654ms → last ⅓ avg 600ms
Headshot accuracy7.8%−2.1%
first ⅓ avg 9.9% → last ⅓ avg 7.8%

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 — dust2 10–3
13–1Biggest win — nuke
5Longest win streak
5–3In matches decided by ≤2 rounds
1Overtime games

Map breakdown

trainBest map · 57% over 7anubisWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
nukeC176–1135%-0.04
infernoB168–850%-0.03
dust2D155–1033%-0.05
ancientD124–833%-0.05
anubisD72–529%-0.06
trainA74–357%-0.03
cacheC73–443%-0.06
overpass—40–40%-0.07
boulder—33–0100%-0.03
fachwerk—32–167%-0.06
office—32–167%-0.05
vertigo—31–233%-0.06
warden—21–150%-0.03
shelter—11–0100%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

8.3%Headshot accuracy
32.5%Accuracy (enemy spotted)
30.7%Spray accuracy
73.5%Counter-strafing
12.1°Preaim
595msReaction time
27.5%T opening success
21.6%CT opening success
0.00Enemies flashed / flash
0.0%Flash assists
0.04HE damage / grenade
0.00Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.1144° — above the 12° mark we flag

    Aim Training →
  2. 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 8.2893% — below the 15% mark we flag

    Aim Training →
  3. 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 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–100.056%24 Aug →
inferno8–13-0.056%22 Aug →
nuke11–13-0.042%22 Aug →
anubis2–13-0.116%19 Aug →
ancient9–13-0.0510%19 Aug →
inferno13–110.058%19 Aug →
nuke6–13-0.0410%19 Aug →
inferno6–13-0.068%19 Aug →
nuke13–60.019%18 Aug →
ancient13–9-0.0313%17 Aug →
train13–8-0.036%17 Aug →
shelter13–10-0.055%17 Aug →
ancient5–13-0.097%17 Aug →
boulder13–2-0.0311%16 Aug →
fachwerk13–6-0.022%16 Aug →
office13–7-0.0533%16 Aug →
nuke1–13-0.080%16 Aug →
office13–3-0.046%16 Aug →
train12–120.036%16 Aug →
inferno13–3-0.0719%16 Aug →
nuke7–13-0.094%16 Aug →
ancient10–13-0.077%16 Aug →
overpass2–13-0.1111%16 Aug →
cache7–130.016%15 Aug →
cache9–13-0.0414%15 Aug →
inferno4–13-0.070%15 Aug →
ancient13–7-0.057%15 Aug →
anubis5–13-0.0113%14 Aug →
dust212–12-0.078%14 Aug →
ancient6–13-0.058%14 Aug →
train13–3-0.010%13 Aug →
train12–120.014%13 Aug →
fachwerk1–13-0.103%13 Aug →
dust22–13-0.0613%10 Aug →
ancient13–30.038%9 Aug →
nuke13–10.016%9 Aug →
nuke12–12-0.0410%9 Aug →
dust210–13-0.0710%8 Aug →
anubis13–6-0.0813%8 Aug →
overpass6–13-0.1113%8 Aug →
nuke9–7-0.065%6 Aug →
dust23–13-0.0820%6 Aug →
dust213–5-0.076%6 Aug →
cache0–13-0.113%6 Aug →
inferno13–10-0.016%6 Aug →
overpass2–13-0.0313%5 Aug →
vertigo13–9-0.0113%5 Aug →
nuke12–12-0.008%5 Aug →
office7–13-0.053%2 Aug →
dust210–30.1321%2 Aug →
boulder13–9-0.0310%27 Jul →
dust22–13-0.0614%27 Jul →
ancient12–12-0.0710%24 Jul →
dust26–13-0.025%24 Jul →
nuke9–13-0.0210%24 Jul →
anubis4–130.007%22 Jul →
boulder13–10-0.037%15 Jul →
vertigo2–13-0.136%15 Jul →
cache10–13-0.0310%15 Jul →
inferno13–16-0.0211%14 Jul →
fachwerk13–7-0.0410%14 Jul →
ancient2–13-0.070%8 Jul →
dust213–10-0.039%8 Jul →
vertigo12–12-0.0213%29 Jun →
nuke4–13-0.0617%27 Jun →
inferno8–40.023%27 Jun →
train13–5-0.0514%22 Jun →
dust26–13-0.0713%20 Jun →
anubis1–13-0.0712%17 Jun →
inferno6–2-0.1838%17 Jun →
train8–13-0.047%17 Jun →
dust213–6-0.0313%15 Jun →
inferno13–60.075%14 Jun →
dust23–13-0.0514%14 Jun →
inferno1–13-0.0810%17 May →
dust22–13-0.0614%16 May →
nuke13–60.0214%11 May →
train13–8-0.095%11 May →
dust211–13-0.0613%11 May →
cache13–6-0.118%6 May →
cache13–10-0.103%2 May →
cache13–11-0.087%2 May →
anubis13–11-0.0613%25 Apr →
nuke13–7-0.0811%25 Apr →
nuke1–13-0.068%22 Apr →
ancient4–13-0.120%22 Apr →
nuke13–7-0.031%19 Apr →
anubis9–13-0.0911%19 Apr →
ancient13–7-0.019%19 Apr →
overpass11–13-0.024%19 Apr →
inferno3–9-0.084%18 Apr →
nuke5–13-0.086%16 Apr →
warden12–8-0.0210%12 Apr →
ancient7–13-0.0610%12 Apr →
dust213–11-0.0713%12 Apr →
warden8–13-0.043%11 Apr →
inferno8–130.015%2 Apr →
inferno10–13-0.0611%29 Mar →
nuke12–12-0.0417%29 Mar →
inferno13–40.0113%29 Mar →

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 →

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