w00lly

w00lly — CS2 Stats

76561197985344897[U:1:25079169]Steam profile ↗✓ No bans

2,068Tracked matches39%Win rate2020Tracked since
CSDB Rating4.1 DevelopingSupport
Premier CS Rating20,067Top 50% of 201,122 CSDB-tracked playersPink band · top ~8.4% of ranked players (population est.)
CSDB Leaderboard#78251 of 247938 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 27 Sep 2026 (5 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: 20,067 -950 14 Jul – 27 Sept · 33 days played
20,00021,944peak 21,94414 Jul27 Sept
22,349Peak Premier in tracked matches
33Days played since 2026-07-10

Premier CS Rating

  • 1,877 below peak (21,944)
  • -461 over 30 days · declining
  • Next: Red band at 25,000 — 4,933 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-24
  • Purple band first seen 2026-09-24

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

Share this profile

CSDB.GGw00llyFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER20,067 · Pink bandcsdb.gg/stats

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Performance scores

Aim39
Positioning50
Utility58

0–100 skill scores via Leetify.

Recent form

COLD44–50–6Last 10044%Win rateLTLLWLLWLL

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +0.9pp headshot accuracy · +85ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 664ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 629ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 587ms

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 (+1.7 against its own average).

Aim3.9
Utility5.8
Positioning5.0
Opening Duels1.6

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

NiKo

Plays most like NiKo 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

Reaction time. 586ms 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

Aim3.9
Positioning5.0
Utility5.8
Mechanics4.9
Opening Duels1.0
Win Impact1.4

Composite 4.1/10 (Developing), 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 rating-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time576ms−59ms
first ⅓ avg 635ms → last ⅓ avg 576ms
Headshot accuracy13.3%+1.2%
first ⅓ avg 12.1% → last ⅓ avg 13.3%

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

0.10Best match rating · 13–11 · inferno, 4 Aug →
32%Best headshot accuracy · 7–13 · anubis, 6 Sept →
430msFastest reaction time · 13–7 · inferno, 14 Aug →
13–2Biggest win · inferno, 31 Aug →

Across the last 100 tracked matches.

Highlights

6Longest win streak
4–10In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 68% over 25cacheWeakest map · 8% over 12
MapGradePlayedRecordWin rateAvg rating
infernoS2517–868%0.00
ancientB2110–1148%-0.05
anubisC177–1041%-0.04
nukeB168–850%-0.02
cacheD121–118%-0.04
mirageD61–517%-0.03
dust2—30–30%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

77Matches
45%Win rate
0.75Avg K/D
—ADR
40%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWL

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.

12.9%Headshot accuracy
29.1%Accuracy (enemy spotted)
32.7%Spray accuracy
71.9%Counter-strafing
11.5°Preaim
586msReaction time
36.2%T opening success
32.0%CT opening success
0.54Enemies flashed / flash
4.4%Flash assists
11.09HE damage / grenade
6.35Flashes / 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 12.8709% — 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 36.1816% — below the 40% mark we flag

Spend your practice time on Cache

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

8% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage11–13-0.0218%27 Sept →
dust215–15-0.0613%27 Sept →
cache7–13-0.0614%20 Sept →
inferno11–13-0.0321%20 Sept →
nuke13–60.0217%20 Sept →
inferno8–13-0.019%9 Sept →
anubis8–13-0.1120%9 Sept →
nuke13–90.1013%9 Sept →
dust28–130.0113%9 Sept →
mirage0–13-0.0613%9 Sept →
inferno5–130.0517%9 Sept →
ancient8–13-0.043%7 Sept →
nuke13–5-0.0313%7 Sept →
ancient6–13-0.0619%7 Sept →
cache6–13-0.0321%6 Sept →
nuke8–13-0.0610%6 Sept →
anubis7–13-0.0332%6 Sept →
nuke13–80.0212%6 Sept →
ancient13–4-0.075%6 Sept →
ancient13–6-0.0411%6 Sept →
anubis15–15-0.054%3 Sept →
ancient13–8-0.0410%3 Sept →
anubis7–13-0.077%3 Sept →
inferno16–13-0.018%1 Sept →
inferno13–60.0110%1 Sept →
anubis10–13-0.0412%31 Aug →
inferno13–20.019%31 Aug →
ancient7–13-0.0610%31 Aug →
ancient6–13-0.0610%31 Aug →
anubis13–50.0015%31 Aug →
ancient11–13-0.0914%28 Aug →
ancient15–150.0111%28 Aug →
inferno13–80.0425%27 Aug →
inferno13–80.0210%27 Aug →
ancient5–13-0.0212%18 Aug →
inferno9–130.0511%18 Aug →
ancient9–13-0.099%18 Aug →
inferno13–60.068%17 Aug →
mirage5–13-0.0114%17 Aug →
ancient5–13-0.043%14 Aug →
inferno13–7-0.0218%14 Aug →
anubis13–10-0.0218%14 Aug →
cache11–13-0.0013%12 Aug →
mirage7–13-0.0323%9 Aug →
nuke11–13-0.0314%9 Aug →
inferno8–13-0.0615%7 Aug →
anubis13–6-0.0211%7 Aug →
ancient13–8-0.075%7 Aug →
anubis10–13-0.0815%6 Aug →
cache13–16-0.0512%6 Aug →
ancient13–40.0214%6 Aug →
anubis10–13-0.0520%6 Aug →
cache7–13-0.0313%6 Aug →
anubis16–14-0.057%6 Aug →
ancient5–13-0.0517%5 Aug →
nuke13–5-0.0216%5 Aug →
nuke13–8-0.0212%5 Aug →
cache8–13-0.058%4 Aug →
anubis13–11-0.038%4 Aug →
inferno13–110.1010%4 Aug →
inferno0–8-0.066%4 Aug →
cache6–130.0118%3 Aug →
ancient13–9-0.038%3 Aug →
anubis13–8-0.0121%3 Aug →
cache11–13-0.0113%1 Aug →
nuke5–13-0.0515%1 Aug →
inferno13–90.0015%1 Aug →
nuke13–10-0.0215%1 Aug →
anubis13–10-0.0518%1 Aug →
cache13–8-0.0213%1 Aug →
inferno13–70.0422%31 Jul →
inferno13–30.0211%31 Jul →
cache10–13-0.0213%31 Jul →
dust214–16-0.0320%31 Jul →
inferno13–100.0210%31 Jul →
ancient13–5-0.0612%31 Jul →
nuke11–13-0.0114%30 Jul →
anubis10–13-0.046%30 Jul →
anubis11–13-0.056%30 Jul →
ancient13–5-0.0614%29 Jul →
inferno13–2-0.0414%26 Jul →
cache1–13-0.0913%24 Jul →
ancient13–11-0.0611%24 Jul →
anubis15–15-0.0513%24 Jul →
nuke13–10-0.0519%24 Jul →
inferno13–30.019%24 Jul →
nuke5–13-0.0510%24 Jul →
mirage5–13-0.059%21 Jul →
inferno7–13-0.059%19 Jul →
nuke6–13-0.0511%19 Jul →
inferno15–15-0.079%17 Jul →
ancient12–160.0111%17 Jul →
nuke15–15-0.0715%16 Jul →
nuke11–13-0.086%15 Jul →
mirage13–9-0.0412%14 Jul →
inferno13–4-0.016%14 Jul →
cache4–13-0.0713%14 Jul →
inferno13–100.0211%14 Jul →
inferno13–6-0.0517%14 Jul →
ancient13–10-0.089%10 Jul →

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 →

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