willy wonka

willy wonka — CS2 Stats

76561199085691221[U:1:1125425493]Steam profile ↗✓ No bans

1,723Tracked matches57%Win rate2021Tracked since
2,399Hours in CS10Hrs last 2 wks
CSDB Rating6.6 SolidAggressive Rifler
Premier CS Rating22,721Top 50% of 29,473 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#10896 of 46219 tracked
FaceitLevel 10 · 2,212 ELOTop 12.4% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=4,917), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate45.9%51.9%
Shot accuracy2.8%13.7%
Kill/death ratio1.151.08
Match win rate49.5%48.7%

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CSDB.GGwilly wonkaFACEITLevel 10 · 2,212 ELOSTANDINGTop 12.4% of rankedPREMIER22,721 · Pink bandcsdb.gg/stats

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Performance scores

Aim76
Positioning66
Utility63

0–100 skill scores via Leetify.

Recent form

HOT55432Last 10055%Win rateLWWWWLWWWW

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

Player DNA

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

Aim7.6
Aggression8.8
Utility6.3
Positioning6.6
Opening Duels3.5
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

jL

Plays most like jL 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Reaction time. 551ms 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

Aim7.6
Positioning6.6
Utility6.3
Mechanics6.0
Opening Duels3.5
Win Impact7.2

Composite 6.6/10 (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 rating0.02−0.03
first ⅓ avg 0.05 → last ⅓ avg 0.02
Reaction time552ms−59ms
first ⅓ avg 611ms → last ⅓ avg 552ms
Headshot accuracy19.8%+1.1%
first ⅓ avg 18.7% → last ⅓ avg 19.8%

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

0.16Best rating — inferno 13–5
130Biggest win — dust2
6Longest win streak
912In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 82% over 11infernoWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
dust2A29181162%0.03
nukeB179853%0.03
anubisS1410471%0.05
infernoD1441029%0.03
ancientS119282%0.04
mirageB84450%0.03
cache41325%0.00
train2020%0.07
overpass1010%-0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

56,705Lifetime kills
1.15K/D · Top 50% of Level 10 players
2,946Matches
49.5%Match win rate · Top 50% of Level 10 players
45.9%Headshot %
2.8%Shot accuracy
7,679MVPs
1,217Hours (in match)
3,806Bombs planted
922Bombs defused

Most-used weapons

AK-4721,372
AWP5,675
MP91,577
MAC-101,389
Knife1,119

Lifetime map wins

5,422dust2
3,393nuke
3,066inferno
1,164vertigo
865train
73office
39cbble
10lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,098Matches
51%Win rate
1.22Avg K/D
82.1ADR
46%Headshot %

Clutches & streaks

39%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Anubis23550%1.2517.7
Ancient21654%1.2116.6
Dust220550%1.2316.8
Mirage17450%1.2316.6
Inferno10051%1.1416.0
Nuke7649%1.1816.9
Vertigo4860%1.2016.2
Overpass2548%1.4119.2

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.

19.3%Headshot accuracy
35.8%Accuracy (enemy spotted)
40.5%Spray accuracy
76.9%Counter-strafing
9.8°Preaim
551msReaction time
43.6%T opening success
44.4%CT opening success
0.61Enemies flashed / flash
6.3%Flash assists
9.49HE damage / grenade
14.96Flashes / match

Recommended for you

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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–130.0617%30 Aug
cache13–7-0.0219%29 Aug
dust213–40.0321%26 Aug
anubis13–10.0318%26 Aug
dust213–100.0417%25 Aug
nuke7–130.0222%25 Aug
dust213–40.0917%24 Aug
anubis16–140.0130%23 Aug
mirage13–110.0530%23 Aug
dust213–70.024%23 Aug
nuke13–110.0719%22 Aug
mirage13–20.0221%22 Aug
nuke11–13-0.0218%19 Aug
mirage11–13-0.0222%18 Aug
ancient13–4-0.0612%17 Aug
ancient13–110.0713%12 Aug
ancient2–50.0029%12 Aug
anubis10–12-0.0316%10 Aug
dust213–70.0514%10 Aug
ancient9–130.0718%6 Aug
mirage9–130.0122%4 Aug
train7–130.0733%4 Aug
inferno9–130.0523%4 Aug
anubis13–50.0523%4 Aug
dust213–60.0511%3 Aug
nuke9–13-0.0221%3 Aug
anubis13–60.004%2 Aug
dust213–10.0529%1 Aug
anubis6–130.0413%31 Jul
dust27–90.0325%28 Jul
dust28–130.0216%28 Jul
nuke4–13-0.0527%23 Jul
inferno11–13-0.0329%22 Jul
nuke16–130.1025%22 Jul
nuke13–110.0222%22 Jul
dust213–0-0.0719%22 Jul
mirage13–30.0740%21 Jul
inferno10–130.0518%20 Jul
ancient13–70.0911%20 Jul
dust213–70.0642%18 Jul
inferno13–7-0.0220%17 Jul
inferno8–130.0115%17 Jul
dust28–130.0324%17 Jul
nuke13–100.0613%16 Jul
ancient13–90.0911%15 Jul
cache7–13-0.0113%15 Jul
nuke10–13-0.0224%12 Jul
cache5–130.0323%8 Jul
inferno13–50.0526%29 Jun
nuke13–20.0422%29 Jun
inferno8–13-0.0513%25 Jun
inferno3–70.1220%24 Jun
dust29–13-0.0214%24 Jun
mirage11–13-0.0015%24 Jun
dust213–110.0016%24 Jun
ancient13–10-0.0314%23 Jun
anubis8–13-0.0629%23 Jun
dust213–20.0824%23 Jun
nuke13–100.1416%23 Jun
inferno0–13-0.0911%18 Jun
anubis13–50.1218%17 Jun
dust22–60.0015%17 Jun
dust213–110.0424%16 Jun
inferno5–13-0.0337%16 Jun
anubis13–80.0516%14 Jun
anubis13–70.0817%12 Jun
inferno13–50.013%12 Jun
nuke9–13-0.047%10 Jun
ancient16–130.0121%10 Jun
overpass8–13-0.0214%9 Jun
dust24–130.008%9 Jun
dust213–100.0420%9 Jun
anubis13–80.0624%9 Jun
dust213–30.0115%8 Jun
ancient13–110.1022%8 Jun
nuke13–80.0521%8 Jun
inferno15–150.0711%7 Jun
nuke7–30.0529%2 Jun
ancient13–70.0822%2 Jun
mirage13–90.0816%1 Jun
train12–120.0728%1 Jun
dust213–50.0820%1 Jun
nuke11–130.0718%30 May
inferno13–50.168%30 May
mirage11–130.0716%30 May
cache9–130.0132%29 May
anubis13–60.1014%29 May
anubis13–80.1022%28 May
nuke1–13-0.0210%28 May
dust214–16-0.0121%26 May
dust27–130.0519%25 May
ancient13–20.0516%25 May
dust211–130.0623%25 May
dust211–130.0415%25 May
nuke13–90.0221%24 May
dust213–00.0514%24 May
anubis11–130.1332%24 May
dust213–90.0312%23 May
inferno9–130.0632%23 May
dust213–110.0312%23 May

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →