luggyyyyy

luggyyyyy — CS2 Stats

KI76561198203305113[U:1:243039385]Steam profile ↗

781Tracked matches48%Win rate2020Tracked since
CSDB Rating5.9 SolidAggressive Rifler
Premier CS Rating22,052Top 50% of 17,162 CSDB-tracked playersPink band · top ~6.2% of ranked players (population est.)
CSDB Leaderboard#9351 of 32543 tracked
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGluggyyyyyPREMIER22,052 · Pink bandcsdb.gg/stats

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Performance scores

Aim78
Positioning54
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY48484Last 10048%Win rateLWLLWLWWTW

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

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.8
Aggression8.3
Utility4.9
Positioning5.4
Opening Duels3.7
Clutch4.0

Strong CT-side opener

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

ropz

Plays most like ropz 90% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

T-side openings. Opening success drops from 56% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 564ms 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

Aim7.8
Positioning5.4
Utility4.9
Mechanics5.7
Opening Duels3.7
Win Impact4.4

Composite 5.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time603ms−13ms
first ⅓ avg 616ms → last ⅓ avg 603ms
Headshot accuracy17.6%−3.0%
first ⅓ avg 20.6% → last ⅓ avg 17.6%

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

0.16Best rating — inferno 9–0
130Biggest win — dust2
4Longest win streak
77In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 80% over 15anubisWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageS1510567%0.01
cacheS1512380%0.01
ancientD134931%-0.00
anubisD102820%-0.01
nukeC94544%-0.03
infernoA85363%0.00
dust2D82625%-0.02
vertigoC52340%-0.01
overpassA53260%0.02
office32167%-0.03
train31233%0.01
poseidon21150%0.05
fachwerk1010%-0.01
eldorado1010%-0.05
shelter1010%-0.03
boulder1010%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

340Matches
51%Win rate
1.00Avg K/D
74.7ADR
39%Headshot %

Clutches & streaks

40%1v1 clutch win
24%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno4551%1.0214.3
Dust24351%0.9414.8
Ancient4141%1.0816.9
Mirage3751%1.0915.1
Nuke3250%1.1514.5
Anubis2259%1.0214.4
Overpass1753%1.2016.8
Train967%0.9214.7

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.

18.1%Headshot accuracy
38.3%Accuracy (enemy spotted)
47.0%Spray accuracy
75.7%Counter-strafing
10.6°Preaim
564msReaction time
32.9%T opening success
56.3%CT opening success
0.57Enemies flashed / flash
6.6%Flash assists
6.37HE damage / grenade
6.58Flashes / 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

    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 32.9058% — below the 40% mark we flag

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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke1–130.0010%27 Aug
anubis13–40.026%27 Aug
vertigo8–13-0.0122%22 Aug
fachwerk11–13-0.0119%22 Aug
mirage13–60.0118%22 Aug
vertigo7–9-0.138%21 Aug
inferno9–00.1622%21 Aug
anubis13–20.0216%18 Aug
ancient15–15-0.0022%17 Aug
dust216–140.0317%17 Aug
ancient6–13-0.0121%14 Aug
mirage10–13-0.0712%9 Aug
inferno7–13-0.0220%8 Aug
mirage13–90.0716%7 Aug
cache4–13-0.0136%7 Aug
nuke13–10-0.0515%6 Aug
ancient6–0-0.020%6 Aug
cache13–6-0.0224%4 Aug
mirage7–13-0.0320%4 Aug
mirage7–130.0512%4 Aug
ancient8–130.0524%3 Aug
anubis8–130.0316%2 Aug
nuke16–14-0.0022%2 Aug
vertigo13–60.1322%2 Aug
poseidon7–90.0322%2 Aug
nuke7–9-0.1517%2 Aug
ancient7–130.0311%2 Aug
dust26–13-0.0242%30 Jul
cache13–7-0.033%30 Jul
poseidon9–50.0720%30 Jul
ancient2–13-0.0513%30 Jul
mirage13–9-0.049%30 Jul
nuke13–10-0.0425%30 Jul
inferno5–13-0.0722%29 Jul
ancient13–80.0515%29 Jul
inferno13–5-0.013%29 Jul
mirage13–90.0534%29 Jul
mirage13–10.1317%29 Jul
anubis4–13-0.0313%28 Jul
ancient5–13-0.0617%28 Jul
dust25–13-0.0821%28 Jul
cache13–6-0.0435%26 Jul
inferno13–110.0219%26 Jul
eldorado7–9-0.059%16 Jul
inferno13–11-0.0625%15 Jul
cache13–7-0.0110%15 Jul
cache13–110.039%14 Jul
nuke11–13-0.0313%12 Jul
cache13–50.0223%12 Jul
dust29–13-0.0667%12 Jul
shelter7–13-0.0324%12 Jul
boulder7–130.0218%12 Jul
ancient10–13-0.0626%10 Jul
inferno13–60.0527%10 Jul
mirage13–30.0822%10 Jul
anubis1–13-0.0410%10 Jul
cache13–90.0018%10 Jul
mirage13–30.0823%9 Jul
nuke8–13-0.0418%6 Jul
office13–8-0.0418%3 Jul
mirage16–14-0.0812%3 Jul
anubis6–130.0219%3 Jul
dust25–13-0.0816%2 Jul
overpass13–10-0.0121%29 Jun
cache13–50.0718%28 Jun
cache8–13-0.0511%28 Jun
cache10–13-0.0024%23 Jun
overpass9–130.0526%21 Jun
dust213–00.0533%21 Jun
office13–00.0236%20 Jun
train13–9-0.0118%19 Jun
mirage13–6-0.0114%18 Jun
ancient12–120.0616%14 Jun
overpass13–80.0114%13 Jun
anubis10–13-0.0318%13 Jun
dust26–130.0330%11 Jun
ancient12–120.0519%11 Jun
dust212–120.0017%10 Jun
train7–13-0.0123%10 Jun
mirage9–13-0.0618%10 Jun
mirage13–50.0021%9 Jun
vertigo7–13-0.0320%7 Jun
vertigo13–3-0.0313%5 Jun
anubis4–13-0.0312%2 Jun
anubis8–13-0.0419%2 Jun
ancient13–4-0.0220%1 Jun
nuke5–130.0319%1 Jun
cache13–80.016%24 May
overpass6–130.0025%24 May
nuke16–12-0.0221%21 May
train10–130.0418%18 May
cache13–80.0111%18 May
cache13–10.1517%16 May
overpass13–90.0317%16 May
anubis8–130.0325%16 May
cache13–5-0.0330%16 May
office9–13-0.0718%14 May
mirage4–13-0.0526%13 May
inferno11–13-0.0716%13 May
ancient13–11-0.0144%10 May

Match data via Leetify.

Recent teammates

Milestones

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