-Winnie

-Winnie — CS2 Stats

76561197998690841[U:1:38425113]Steam profile ↗✓ No bans

3,072Tracked matches43%Win rate2020Tracked since
CSDB Rating5.7 SolidClutch Specialist
Premier CS Rating25,308Top 10% of 213,399 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)
CSDB Leaderboard#19074 of 260020 tracked
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (25 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: 25,308 +3,461 3 Jul – 11 Oct · 18 days played
21,84725,983peak 25,9833 Jul11 Oct
Faceit ELO: 2,149 +0 5 Sept – 20 Sept · 4 observations
2,1492,149peak 2,1495 Sept20 Sept
26,244Peak Premier in tracked matches
2,149Highest Faceit ELO seen on CSDB
34Days played since 2026-05-30

Faceit ELO

  • At peak — 2,149
  • Next: 2,500 ELO at 2,500 — 351 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-05
  • Level 9 first seen 2026-09-05

Premier CS Rating

  • 675 below peak (25,983)
  • -333 over 30 days · steady
  • +982 over 90 days
  • Next: Gold band at 30,000 — 4,692 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-05
  • Pink band first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GG-WinniePREMIER25,308 · Red bandPEAK ELO2,149csdb.gg/stats

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Performance scores

Aim84
Positioning41
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY50–49–1Last 10050%Win rateLLWLWWLLWL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −3.6pp headshot accuracy · +61ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 642ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 609ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 578ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+0.8 against its own average).

Aim8.4
Utility4.3
Positioning4.1
Opening Duels1.6
Clutch4.4

Limited utility dependence

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

ropz

Plays most like ropz 94% playstyle similarity

Most alike: opening-duel success, aim profile.

Where you differ: lower utility contribution; lower positioning 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

Positioning. Positioning trails aim by 43 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 575ms 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

Aim8.4
Positioning4.1
Utility4.3
Mechanics7.2
Opening Duels0.7
Win Impact2.8

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.03
first ⅓ avg 0.02 → last ⅓ avg -0.01
Reaction time578ms−35ms
first ⅓ avg 613ms → last ⅓ avg 578ms
Headshot accuracy23.5%−0.4%
first ⅓ avg 23.9% → last ⅓ avg 23.5%

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

0.16Best match rating · 4–0 · train, 30 May →
43%Best headshot accuracy · 1–13 · cache, 31 Aug →
406msFastest reaction time · 9–13 · ancient, 3 Jun →
13–2Biggest win · mirage, 31 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
7–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 64% over 14ancientWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB3217–1553%0.01
nukeA149–564%-0.01
ancientD134–931%0.01
anubisB137–654%-0.01
cacheC114–736%0.01
infernoC73–443%-0.01
dust2—42–250%0.01
train—22–0100%0.10
shelter—10–10%0.00
fachwerk—11–0100%-0.00
overpass—11–0100%0.07
vertigo—10–10%-0.08

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,484Matches
50%Win rate
1.10Avg K/D
76.7ADR
42%Headshot %

Clutches & streaks

42%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage26651%1.0415.1
Anubis23053%1.0715.0
Ancient16345%1.0115.4
Nuke11858%1.1416.2
Dust28241%0.9714.0
Overpass6859%1.0215.0
Inferno5050%0.9915.0
Vertigo4042%0.8813.8

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.

23.8%Headshot accuracy
35.3%Accuracy (enemy spotted)
41.2%Spray accuracy
82.5%Counter-strafing
8.6°Preaim
575msReaction time
27.6%T opening success
35.8%CT opening success
0.65Enemies flashed / flash
9.5%Flash assists
5.53HE damage / grenade
3.84Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.8354 — below the 4 mark we flag

    Grenade Lineups →
  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 27.6082% — 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.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage6–13-0.0714%11 Oct →
mirage3–13-0.0618%28 Sept →
mirage13–80.0121%11 Sept →
cache1–13-0.0643%31 Aug →
mirage13–20.0114%31 Aug →
nuke13–4-0.0318%31 Aug →
cache7–13-0.0441%24 Aug →
mirage3–130.0830%24 Aug →
train13–30.0319%22 Aug →
inferno0–13-0.040%22 Aug →
mirage13–11-0.0421%22 Aug →
ancient9–13-0.0338%22 Aug →
nuke0–13-0.150%22 Aug →
nuke4–13-0.0232%22 Aug →
nuke4–5-0.0525%22 Aug →
mirage13–110.0537%21 Aug →
mirage11–130.0435%21 Aug →
inferno13–80.0022%21 Aug →
nuke5–13-0.0621%17 Aug →
inferno13–110.0621%17 Aug →
mirage13–90.0222%16 Aug →
ancient4–130.0127%15 Aug →
mirage9–13-0.0119%12 Aug →
inferno6–13-0.0823%5 Aug →
mirage13–10-0.0310%5 Aug →
inferno13–100.0133%5 Aug →
anubis13–60.0329%5 Aug →
anubis14–160.0421%5 Aug →
anubis10–13-0.0123%4 Aug →
ancient4–130.0424%4 Aug →
ancient13–3-0.0631%4 Aug →
mirage13–5-0.0331%4 Aug →
anubis13–6-0.0015%3 Aug →
anubis13–10-0.0329%3 Aug →
mirage13–110.0623%3 Aug →
dust213–30.0526%3 Aug →
ancient10–13-0.0416%3 Aug →
ancient10–130.0234%3 Aug →
dust27–13-0.0222%31 Jul →
mirage9–130.0110%31 Jul →
mirage9–130.0119%31 Jul →
cache6–130.0413%31 Jul →
anubis7–13-0.0526%27 Jul →
anubis6–13-0.0814%27 Jul →
cache13–80.0022%27 Jul →
mirage13–20.0128%26 Jul →
mirage13–5-0.0633%26 Jul →
ancient13–5-0.0521%26 Jul →
inferno2–130.0038%25 Jul →
mirage5–130.0731%25 Jul →
ancient2–130.0328%25 Jul →
nuke13–10-0.0427%24 Jul →
mirage10–13-0.0238%24 Jul →
dust26–13-0.0226%24 Jul →
anubis13–80.1217%24 Jul →
ancient12–160.0728%24 Jul →
mirage13–7-0.0110%23 Jul →
mirage6–13-0.0523%23 Jul →
mirage13–6-0.0024%23 Jul →
nuke13–90.0325%23 Jul →
cache13–50.0543%22 Jul →
shelter3–130.0026%20 Jul →
fachwerk13–5-0.0022%20 Jul →
mirage13–50.1022%20 Jul →
nuke13–90.0524%19 Jul →
ancient2–13-0.0519%19 Jul →
anubis9–13-0.0032%13 Jul →
anubis16–14-0.0620%9 Jul →
mirage8–13-0.0220%5 Jul →
mirage10–13-0.0424%5 Jul →
anubis13–40.0413%4 Jul →
cache11–13-0.0423%4 Jul →
anubis4–13-0.0838%4 Jul →
mirage6–13-0.0119%4 Jul →
ancient13–110.0125%4 Jul →
dust213–70.0225%4 Jul →
nuke13–50.0111%4 Jul →
nuke13–100.0217%4 Jul →
mirage13–5-0.0132%3 Jul →
mirage6–130.0623%3 Jul →
nuke13–90.0314%3 Jul →
inferno11–13-0.0426%3 Jul →
cache10–130.0917%3 Jul →
mirage13–30.1531%2 Jul →
nuke9–13-0.0326%2 Jul →
ancient9–130.0631%3 Jun →
nuke9–13-0.0120%2 Jun →
mirage13–60.0340%1 Jun →
cache14–160.0223%1 Jun →
cache13–7-0.0323%1 Jun →
overpass13–90.0721%1 Jun →
mirage13–100.0634%1 Jun →
anubis13–4-0.0020%1 Jun →
ancient13–20.0630%31 May →
cache3–130.0324%30 May →
vertigo12–12-0.0820%30 May →
train4–00.1643%30 May →
nuke13–90.1120%30 May →
mirage5–13-0.038%30 May →
cache13–70.0127%30 May →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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