WinnieTheJew

WinnieTheJew — CS2 Stats

VA76561198258594962[U:1:298329234]Steam profile ↗✓ No bans

392Tracked matches50%Win rate2023Tracked since
869Hours in CS7Hrs last 2 wks
CSDB Rating6.3 SolidAll-Rounder
Premier CS Rating12,155Blue band · top ~43.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,155 +1,143 18 Jul – 3 Nov · 31 days played
10,17714,339peak 14,33918 Jul3 Nov
14,339Peak Premier in tracked matches
38Days played since 2026-07-08

Premier CS Rating

  • 2,184 below peak (14,339)
  • -2,184 over 30 days · declining
  • +849 over 90 days
  • Next: Purple band at 15,000 — 2,845 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-30
  • Light Blue band first seen 2026-08-30

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate45.6%42.0%44.4%above
Shot accuracy10.7%9.6%11.9%1.1% short
Kill/death ratio1.220.981.03above
Match win rate53.2%43.8%45.2%above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWinnieTheJewPREMIER12,155 · Blue bandcsdb.gg/stats

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Performance scores

Aim73
Positioning70
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateLWWWWWLLLW

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +11.5pp headshot accuracy · −100ms reaction

Win rate up 20pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 30%
  • Avg reaction 553ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 30%
  • Avg reaction 563ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 613ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim7.3
Utility6.1
Positioning7.0
Opening Duels6.5

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

jL

Plays most like jL 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 594ms 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

Aim7.3
Positioning7.0
Utility6.1
Mechanics6.1
Opening Duels6.9
Win Impact5.0

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time590ms−10ms
first ⅓ avg 600ms → last ⅓ avg 590ms
Headshot accuracy24.1%−6.0%
first ⅓ avg 30.1% → last ⅓ avg 24.1%

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

0.20Best match rating · 9–3 · vertigo, 22 Jul →
100%Best headshot accuracy · 13–6 · nuke, 30 Jul →
297msFastest reaction time · 1–13 · ancient, 11 Jul →
13–1Biggest win · nuke, 7 Aug →

Across the last 100 tracked matches.

Highlights

8Longest win streak
5–8In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 75% over 20dust2Weakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
cacheS2015–575%0.01
infernoB1910–953%0.02
nukeS1510–567%0.03
mirageC145–936%0.00
anubisB126–650%-0.01
dust2D113–827%-0.02
ancientA85–363%-0.01
vertigo—11–0100%0.20

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,670Lifetime kills
1.22K/D · Top 25% of Blue band
1,002Matches
53.2%Match win rate · Top 5% of Blue band
45.6%Headshot % · Top 50% of Blue band
10.7%Shot accuracy · Top 50% of Blue band
2,852MVPs
438Hours (in match)
1,176Bombs planted
215Bombs defused

Most-used weapons

Lifetime map wins

2,000dust2
1,650inferno
921nuke
448cbble
379train
107vertigo
66office
11assault

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

Skill profile

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

24.5%Headshot accuracy
36.4%Accuracy (enemy spotted)
38.2%Spray accuracy
77.3%Counter-strafing
11.7°Preaim
594msReaction time
55.3%T opening success
59.8%CT opening success
0.56Enemies flashed / flash
4.5%Flash assists
9.51HE damage / grenade
10.11Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0423%3 Nov →
cache13–10-0.0324%3 Nov →
nuke13–60.0227%1 Nov →
ancient13–70.0345%1 Nov →
inferno13–2-0.0130%1 Nov →
mirage13–30.0330%1 Nov →
cache8–130.0931%1 Nov →
dust26–13-0.0627%1 Nov →
inferno8–130.1041%1 Nov →
ancient13–8-0.0718%1 Nov →
cache13–11-0.0716%28 Oct →
mirage13–2-0.0210%28 Oct →
cache8–13-0.018%28 Oct →
nuke11–130.0618%28 Oct →
dust26–13-0.0938%28 Oct →
nuke13–90.0217%27 Oct →
inferno13–16-0.0116%27 Oct →
cache13–40.0320%24 Oct →
dust28–130.0221%24 Oct →
dust28–13-0.0616%23 Oct →
inferno7–130.0316%23 Oct →
nuke7–130.0654%15 Oct →
inferno8–13-0.0216%15 Oct →
cache13–80.0228%8 Oct →
cache13–50.0733%8 Oct →
mirage13–60.0743%8 Oct →
mirage6–13-0.0126%18 Sept →
cache13–40.1322%18 Sept →
ancient9–130.0129%18 Sept →
nuke13–50.040%18 Sept →
anubis12–16-0.0510%18 Sept →
inferno13–40.0622%15 Sept →
cache13–100.0121%15 Sept →
cache13–80.0527%13 Sept →
nuke13–40.0531%12 Sept →
inferno16–130.0630%12 Sept →
cache13–70.0633%12 Sept →
nuke8–10.1020%12 Sept →
mirage13–90.0422%12 Sept →
dust212–16-0.0030%12 Sept →
anubis13–50.0113%12 Sept →
ancient13–11-0.0132%6 Sept →
inferno13–40.1732%5 Sept →
nuke11–130.0327%4 Sept →
dust213–11-0.0218%4 Sept →
inferno6–13-0.0433%2 Sept →
nuke13–30.0727%2 Sept →
dust29–130.000%23 Aug →
anubis13–30.0326%22 Aug →
mirage13–16-0.0429%22 Aug →
anubis7–13-0.0016%20 Aug →
mirage11–13-0.0123%20 Aug →
dust215–150.0218%18 Aug →
inferno13–40.0423%14 Aug →
cache13–90.0114%7 Aug →
nuke13–10.0515%7 Aug →
inferno13–8-0.0616%7 Aug →
anubis11–13-0.0335%6 Aug →
inferno6–110.0332%6 Aug →
cache11–13-0.0129%6 Aug →
inferno10–130.0320%5 Aug →
mirage7–13-0.0311%3 Aug →
inferno13–110.0717%2 Aug →
mirage3–13-0.0310%2 Aug →
cache13–40.0118%2 Aug →
nuke13–6-0.03100%30 Jul →
anubis13–10-0.100%30 Jul →
nuke9–2-0.0850%22 Jul →
vertigo9–30.2035%22 Jul →
inferno9–00.0616%22 Jul →
inferno7–3-0.0111%22 Jul →
mirage13–50.0327%21 Jul →
anubis9–130.0326%20 Jul →
cache11–130.0433%19 Jul →
cache13–6-0.0121%19 Jul →
nuke8–130.0119%19 Jul →
anubis4–13-0.0811%19 Jul →
anubis8–130.0226%18 Jul →
cache13–100.0114%18 Jul →
nuke13–110.0421%18 Jul →
mirage15–150.0633%18 Jul →
mirage15–15-0.0220%18 Jul →
dust213–60.0511%18 Jul →
cache10–13-0.0718%18 Jul →
inferno11–13-0.0721%17 Jul →
ancient16–120.0331%15 Jul →
mirage8–13-0.0119%15 Jul →
inferno2–13-0.0150%15 Jul →
ancient13–70.0131%15 Jul →
mirage14–16-0.0129%12 Jul →
cache13–6-0.04100%12 Jul →
anubis13–9-0.0128%11 Jul →
inferno13–8-0.0430%11 Jul →
dust213–10-0.0228%11 Jul →
anubis13–100.0247%11 Jul →
cache13–9-0.0535%11 Jul →
ancient1–13-0.0667%11 Jul →
nuke8–13-0.0225%10 Jul →
anubis13–70.0328%8 Jul →
ancient7–13-0.0330%8 Jul →

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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