Gucci420 — CS2 Stats

76561198160298607[U:1:200032879]✓ No bans

1,300Tracked matches47%Win rate2020Tracked since
CSDB Rating3.9 Learning
Premier CS Rating15,438Purple band · top ~26.7% of ranked players (population est.)
CSDB Leaderboard#31535 of 53784 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGGucci420FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER15,438 · Purple bandcsdb.gg/stats

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Performance scores

Aim44
Positioning29
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY44551Last 10044%Win rateWLLWLLLWWL

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim4.4
Aggression1.6
Utility5.7
Positioning2.9
Opening Duels0.0
Clutch3.8

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 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. 638ms 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

Aim4.4
Positioning2.9
Utility5.7
Mechanics4.8
Opening Duels0.0
Win Impact3.9

Composite 3.9/10 (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-0.03−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time642ms−46ms
first ⅓ avg 688ms → last ⅓ avg 642ms
Headshot accuracy14.6%−0.2%
first ⅓ avg 14.8% → last ⅓ avg 14.6%

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

0.10Best rating — ancient 6–13
132Biggest win — inferno
5Longest win streak
93In matches decided by ≤2 rounds
22Overtime games

Map breakdown

cacheBest map · 63% over 8ancientWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB33161748%-0.01
nukeC145936%-0.03
anubisB147750%-0.03
ancientD1331023%-0.02
overpassC125742%-0.02
cacheA85363%-0.02
mirage2020%-0.04
dust221150%-0.01
train110100%-0.01
vertigo110100%0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,170Matches
51%Win rate
0.91Avg K/D
61.0ADR
34%Headshot %

Clutches & streaks

39%1v1 clutch win
15%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Inferno3259%0.8212.1
Anubis1656%0.7112.3
Ancient1323%0.599.7
Nuke1338%0.7111.6
Cache978%0.6511.7
Overpass786%0.7213.1
Mirage10%0.547.0

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.

14.9%Headshot accuracy
30.4%Accuracy (enemy spotted)
38.7%Spray accuracy
71.7%Counter-strafing
11.4°Preaim
638msReaction time
25.6%T opening success
26.7%CT opening success
0.57Enemies flashed / flash
5.2%Flash assists
7.06HE damage / grenade
9.97Flashes / 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 14.8764% — below the 15% mark we flag

    Aim Training
  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 25.6368% — below the 40% mark we flag

Spend your practice time on Ancient

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache16–120.0418%14 May
nuke9–130.006%14 May
ancient7–13-0.0610%11 May
inferno13–8-0.0114%11 May
cache7–130.038%7 May
cache9–13-0.0617%7 May
ancient9–13-0.063%7 May
ancient13–50.0311%7 May
cache13–10-0.0016%7 May
inferno7–13-0.0617%6 May
inferno6–13-0.0815%5 May
cache19–16-0.0320%5 May
inferno8–13-0.0516%2 May
overpass16–120.0014%2 May
cache13–6-0.039%2 May
overpass8–13-0.032%2 May
anubis10–13-0.0316%2 May
cache7–13-0.0814%29 Apr
nuke3–13-0.0512%28 Apr
inferno13–30.0221%28 Apr
nuke6–13-0.0519%28 Apr
ancient8–13-0.0821%22 Apr
cache16–14-0.0423%22 Apr
nuke13–9-0.0313%22 Apr
ancient8–13-0.0417%21 Apr
anubis4–13-0.0613%21 Apr
inferno13–6-0.0238%21 Apr
overpass19–17-0.0316%19 Apr
nuke13–110.0310%19 Apr
anubis13–11-0.0212%19 Apr
anubis13–50.027%17 Apr
nuke13–16-0.0215%17 Apr
inferno13–7-0.0018%14 Apr
inferno16–13-0.0228%14 Apr
inferno8–13-0.100%12 Apr
anubis13–8-0.0110%12 Apr
inferno8–13-0.0313%12 Apr
inferno16–130.027%12 Apr
anubis16–12-0.0419%11 Apr
inferno16–130.042%11 Apr
inferno8–13-0.0110%11 Apr
anubis2–13-0.0818%9 Apr
inferno10–13-0.0119%9 Apr
inferno8–13-0.0311%9 Apr
inferno6–13-0.0220%8 Apr
anubis22–20-0.0114%4 Apr
inferno13–16-0.055%3 Apr
anubis7–13-0.030%3 Apr
nuke11–13-0.0627%3 Apr
anubis7–13-0.0415%3 Apr
inferno13–5-0.0012%2 Apr
inferno16–130.0217%2 Apr
inferno13–20.0125%2 Apr
inferno13–9-0.058%2 Apr
anubis9–13-0.106%2 Apr
ancient13–16-0.0118%1 Apr
overpass13–8-0.0314%1 Apr
inferno13–30.1024%1 Apr
ancient9–130.0615%1 Apr
inferno7–13-0.046%31 Mar
anubis13–100.0115%31 Mar
ancient13–11-0.0317%31 Mar
nuke11–13-0.0215%31 Mar
ancient16–14-0.0817%30 Mar
inferno13–11-0.028%30 Mar
anubis13–100.0315%30 Mar
nuke13–5-0.009%30 Mar
mirage1–13-0.0822%29 Mar
overpass15–15-0.0313%24 Mar
inferno9–13-0.0817%19 Mar
train13–10-0.017%19 Mar
dust213–7-0.017%15 Mar
dust24–130.0010%15 Mar
inferno16–130.0612%15 Mar
overpass14–16-0.045%15 Mar
inferno16–12-0.022%14 Mar
nuke13–7-0.0623%14 Mar
nuke13–11-0.0423%13 Mar
inferno7–13-0.0311%13 Mar
anubis2–13-0.0329%13 Mar
ancient10–13-0.0215%13 Mar
mirage9–13-0.017%12 Mar
nuke2–13-0.017%9 Mar
inferno7–13-0.0131%9 Mar
nuke4–130.0123%7 Mar
overpass13–7-0.039%7 Mar
inferno6–13-0.0120%6 Mar
ancient6–130.109%3 Mar
inferno16–120.0521%3 Mar
ancient10–13-0.0018%2 Mar
overpass16–13-0.019%2 Mar
overpass10–13-0.0312%1 Mar
overpass13–160.029%28 Feb
nuke4–13-0.076%28 Feb
inferno7–130.0812%28 Feb
ancient7–13-0.0325%27 Feb
overpass5–13-0.0519%27 Feb
overpass6–9-0.0413%26 Feb
inferno10–13-0.0119%22 Feb
vertigo13–90.0024%18 Feb

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 →