Winnie Wonka

Winnie Wonka — CS2 Stats

DK76561198101227561[U:1:140961833]Steam profile ↗✓ No bans

947Tracked matches34%Win rate2020Tracked since
3,569Hours in CS1Hrs last 2 wks
CSDB Rating3.6 LearningSupport
FaceitLevel 1Top 100.0% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 8,722 -599 15 Dec – 10 Apr · 12 days played
5,25010,639peak 10,63915 Dec10 Apr
10,639Peak Premier in tracked matches
40Days played since 2024-12-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 1 among CSDB-tracked players (n=2,367), 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 1 medianLevel 2 medianvs Level 2
Headshot rate37.2%40.9%41.3%4.1% short
Shot accuracy16.9%14.2%12.7%above
Kill/death ratio0.950.950.95meets
Match win rate40.4%42.1%42.6%2.2% short

This profile matches the typical Level 2 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWinnie WonkaFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim30
Positioning49
Utility54

0–100 skill scores via Leetify.

Recent form

COLD41–57–2Last 10041%Win rateLLLLLWLLLW

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · +0.4pp headshot accuracy · +72ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 720ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 17%
  • Avg reaction 703ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 16%
  • Avg reaction 667ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Support — Utility contribution stands above the rest of this profile (+1.9 against its own average).

Aim3.0
Utility5.4
Positioning4.9
Opening Duels3.9
Clutch0.0

Strong CT-side openerEffective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

device

Plays most like device 63% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 669ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.0
Positioning4.9
Utility5.4
Mechanics3.8
Opening Duels3.3
Win Impact0.0

Composite 3.6/10 (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 -0.02 → last ⅓ avg -0.04
Reaction time663ms−1ms
first ⅓ avg 665ms → last ⅓ avg 663ms
Headshot accuracy15.9%−1.9%
first ⅓ avg 17.9% → last ⅓ avg 15.9%

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.

Personal bests

0.08Best match rating · 13–5 · inferno, 20 Aug →
36%Best headshot accuracy · 13–8 · nuke, 24 Mar →
469msFastest reaction time · 3–13 · overpass, 22 Jan →
13–1Biggest win · dust2, 25 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L5Current streak
6–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 50% over 14mirageWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB2612–1446%-0.03
nukeC249–1538%-0.02
ancientB147–750%-0.03
dust2B126–650%-0.01
mirageD81–713%-0.05
overpassB84–450%-0.03
anubis—40–40%-0.06
train—21–150%-0.02
cache—10–10%0.01
vertigo—11–0100%-0.04

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (13% over 8). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

87,714Lifetime kills
0.95K/D
4,725Matches
40.4%Match win rate
37.2%Headshot %
16.9%Shot accuracy · Top 25% of Level 1 players
9,614MVPs
2,018Hours (in match)
5,773Bombs planted
699Bombs defused

Most-used weapons

AK-4719,014
AWP13,084
AUG3,999
UMP-453,123
P903,031
SCAR-202,191

Lifetime map wins

15,150dust2
8,833inferno
6,004nuke
2,040vertigo
634train
514assault
296cbble
95office

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

Faceit stats

Combat

40Matches
38%Win rate
0.77Avg K/D
78.0ADR
38%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Overpass1100%1.0520.0
Nuke10%0.478.0

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.

16.2%Headshot accuracy
27.7%Accuracy (enemy spotted)
27.6%Spray accuracy
67.2%Counter-strafing
10.5°Preaim
669msReaction time
30.0%T opening success
56.0%CT opening success
0.70Enemies flashed / flash
3.5%Flash assists
12.43HE damage / grenade
5.10Flashes / 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 30.0122% — below the 40% mark we flag

Spend your practice time on Mirage

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.099%2 Nov →
ancient8–13-0.0212%2 Nov →
nuke5–13-0.0924%9 Aug →
cache12–160.0115%9 Aug →
mirage8–13-0.079%9 Aug →
dust213–110.0235%28 Jul →
anubis4–13-0.0814%28 Jul →
anubis8–13-0.0521%24 Jul →
ancient5–13-0.0514%24 Jul →
inferno16–13-0.0611%24 Jul →
dust213–90.0020%10 Apr →
inferno13–5-0.0419%26 Feb →
nuke13–80.019%26 Feb →
overpass11–13-0.0429%26 Feb →
ancient13–10-0.0614%26 Feb →
anubis10–13-0.0714%21 Feb →
ancient8–13-0.028%21 Feb →
ancient8–13-0.0512%20 Feb →
inferno16–13-0.0420%20 Feb →
nuke9–13-0.0416%20 Feb →
overpass7–13-0.068%20 Feb →
inferno1–13-0.0814%20 Feb →
anubis15–15-0.0616%9 Feb →
inferno5–13-0.0513%9 Feb →
nuke13–10-0.038%9 Feb →
nuke6–130.0217%5 Feb →
overpass13–110.0230%5 Feb →
mirage9–13-0.0116%5 Feb →
dust213–11-0.0515%3 Feb →
nuke4–13-0.0716%3 Feb →
ancient13–60.0018%3 Feb →
dust27–130.0014%23 Jan →
inferno16–12-0.0314%23 Jan →
nuke13–5-0.0611%23 Jan →
inferno4–13-0.0219%2 Dec →
mirage11–13-0.066%2 Dec →
inferno13–50.0317%2 Dec →
dust26–13-0.0825%2 Dec →
inferno6–13-0.110%30 Nov →
train11–13-0.0316%29 Nov →
overpass13–9-0.0334%29 Nov →
overpass13–80.0615%29 Nov →
nuke13–16-0.045%29 Nov →
ancient13–10-0.0311%19 Nov →
nuke8–13-0.0311%19 Nov →
overpass11–13-0.1116%19 Nov →
mirage2–13-0.088%13 Nov →
ancient11–13-0.0212%13 Nov →
nuke13–5-0.0121%13 Nov →
nuke15–15-0.0314%6 Nov →
inferno16–13-0.0213%6 Nov →
train13–11-0.0116%6 Nov →
overpass13–20.0215%15 Sept →
ancient13–20.047%15 Sept →
nuke10–13-0.0213%15 Sept →
inferno8–13-0.0215%24 Aug →
inferno13–50.0811%20 Aug →
ancient9–13-0.0823%20 Aug →
inferno8–13-0.0321%20 Aug →
dust211–13-0.037%15 Aug →
nuke3–13-0.0723%15 Aug →
ancient13–4-0.0424%1 Aug →
dust26–13-0.0319%1 Aug →
inferno1–13-0.066%18 Jun →
nuke7–13-0.0423%25 Apr →
inferno13–9-0.038%25 Apr →
dust213–10.0615%25 Apr →
nuke9–13-0.0322%11 Apr →
inferno10–130.0222%24 Mar →
nuke13–80.0236%24 Mar →
inferno10–13-0.0127%15 Mar →
mirage13–10-0.056%22 Feb →
ancient13–8-0.0429%22 Feb →
mirage4–13-0.0914%21 Feb →
ancient10–13-0.0525%15 Feb →
inferno7–13-0.0620%15 Feb →
dust213–50.0418%28 Jan →
inferno13–40.018%28 Jan →
nuke13–80.0524%28 Jan →
overpass3–13-0.0620%22 Jan →
inferno5–130.0221%22 Jan →
nuke14–16-0.0624%18 Jan →
vertigo13–9-0.0418%18 Jan →
mirage12–16-0.0110%18 Jan →
inferno4–13-0.0827%15 Jan →
dust26–13-0.028%15 Jan →
inferno13–10-0.0923%11 Jan →
inferno9–13-0.0113%21 Dec →
ancient13–110.0212%21 Dec →
mirage10–13-0.0217%20 Dec →
inferno13–7-0.0111%20 Dec →
nuke13–70.0423%20 Dec →
dust213–110.0212%20 Dec →
dust213–16-0.0622%17 Dec →
nuke13–30.0421%17 Dec →
nuke14–160.0011%17 Dec →
inferno13–40.0112%17 Dec →
nuke13–5-0.0216%17 Dec →
inferno11–13-0.0412%15 Dec →
nuke13–16-0.038%15 Dec →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.