WoolleyMonster

WoolleyMonster — CS2 Stats

76561198059867089[U:1:99601361]Steam profile ↗✓ No bans

634Tracked matches62%Win rate2021Tracked since
CSDB Rating5.0 DevelopingSupport
Premier CS Rating10,891Blue band · top ~50.2% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 634 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,891 +743 19 Jun – 4 Sept · 4 days played
10,14810,891peak 10,89119 Jun4 Sept
10,891Peak Premier in tracked matches
21Days played since 2026-06-14

Premier CS Rating

  • At peak — 10,891
  • +743 over 90 days
  • Next: Purple band at 15,000 — 4,109 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-28
  • Light Blue band first seen 2026-08-28

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

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CSDB.GGWoolleyMonsterPREMIER10,891 · Blue bandcsdb.gg/stats

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Performance scores

Aim56
Positioning34
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY46–46–8Last 10046%Win rateLLWWLWWWLL

Last 10 vs previous 10: −30pp win rate · +0.01 avg rating · −1.1pp headshot accuracy · −13ms reaction

Win rate down 30pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 641ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 654ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 661ms

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 (+2.5 against its own average).

Aim5.6
Utility5.5
Positioning3.4
Opening Duels0.0

Strong CT-side opener

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

ZywOo

Plays most like ZywOo 78% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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 40% on CT to 16% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 659ms 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

Aim5.6
Positioning3.4
Utility5.5
Mechanics7.2
Opening Duels1.2
Win Impact8.8

Composite 5.0/10 (Developing), 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+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time663ms−12ms
first ⅓ avg 674ms → last ⅓ avg 663ms
Headshot accuracy14.4%+0.5%
first ⅓ avg 13.9% → last ⅓ avg 14.4%

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 · 13–1 · cache, 26 Jun →
39%Best headshot accuracy · 13–6 · cache, 21 Jun →
422msFastest reaction time · 7–13 · office, 11 Jul →
13–0Biggest win · mirage, 16 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
5–9In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 82% over 11anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
cacheB157–847%0.02
mirageC145–936%-0.00
dust2C125–742%-0.00
ancientS119–282%0.00
trainA106–460%0.00
anubisD92–722%-0.02
infernoC83–538%-0.03
nukeD72–529%-0.01
officeD62–433%-0.00
overpass—43–175%-0.00
vertigo—32–167%0.02
stronghold—10–10%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2Matches
0%Win rate
0.80Avg K/D
—ADR
40%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

14.0%Headshot accuracy
34.9%Accuracy (enemy spotted)
29.4%Spray accuracy
82.2%Counter-strafing
9.2°Preaim
659msReaction time
16.2%T opening success
40.0%CT opening success
0.46Enemies flashed / flash
9.4%Flash assists
10.09HE damage / grenade
5.16Flashes / 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 13.9756% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4607 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 16.2246% — below the 40% mark we flag

Spend your practice time on Anubis

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo3–110.0315%11 Jul →
office7–13-0.0716%11 Jul →
office13–60.079%9 Jul →
dust213–70.0417%4 Jul →
nuke10–13-0.0120%4 Jul →
cache13–50.0717%4 Jul →
train4–120.0210%2 Jul →
ancient13–20.089%2 Jul →
anubis6–130.0417%2 Jul →
inferno11–13-0.0118%2 Jul →
cache13–60.0622%2 Jul →
dust211–13-0.0413%1 Jul →
mirage13–10-0.0017%1 Jul →
ancient13–5-0.0313%29 Jun →
train13–60.059%29 Jun →
dust213–8-0.0314%29 Jun →
cache12–120.0021%28 Jun →
inferno13–80.0213%28 Jun →
overpass13–70.0515%28 Jun →
mirage13–100.0122%28 Jun →
train12–12-0.019%28 Jun →
cache13–40.0915%28 Jun →
dust213–5-0.0017%28 Jun →
anubis5–13-0.116%27 Jun →
train4–13-0.0610%27 Jun →
mirage7–130.0015%27 Jun →
ancient13–100.099%27 Jun →
anubis12–12-0.0411%27 Jun →
dust25–130.0216%27 Jun →
anubis12–120.042%26 Jun →
mirage12–120.0521%26 Jun →
ancient13–50.0617%26 Jun →
inferno13–9-0.0119%26 Jun →
cache9–13-0.0323%26 Jun →
cache13–10.1019%26 Jun →
office13–80.0429%25 Jun →
cache3–13-0.059%25 Jun →
inferno7–13-0.054%25 Jun →
overpass13–60.045%24 Jun →
anubis13–50.0514%24 Jun →
anubis2–13-0.1011%24 Jun →
mirage11–130.0218%24 Jun →
dust213–40.098%24 Jun →
ancient13–110.039%23 Jun →
inferno6–90.0521%23 Jun →
nuke9–130.0115%23 Jun →
dust27–13-0.0623%23 Jun →
train13–11-0.0322%22 Jun →
mirage13–8-0.0123%22 Jun →
dust210–130.0221%22 Jun →
mirage3–40.0118%22 Jun →
dust23–13-0.0312%22 Jun →
ancient2–13-0.075%22 Jun →
mirage0–13-0.0613%22 Jun →
dust27–130.0323%22 Jun →
ancient13–10-0.0014%21 Jun →
cache13–60.0339%21 Jun →
vertigo13–9-0.0119%21 Jun →
cache8–130.0215%20 Jun →
nuke13–10-0.045%20 Jun →
mirage5–13-0.060%20 Jun →
overpass2–13-0.0514%20 Jun →
office5–130.0214%20 Jun →
nuke13–90.0215%20 Jun →
cache13–10-0.0216%20 Jun →
train4–13-0.0315%19 Jun →
office10–13-0.0212%19 Jun →
stronghold1–130.008%19 Jun →
inferno13–11-0.0612%19 Jun →
vertigo13–110.0315%19 Jun →
mirage13–160.028%19 Jun →
nuke5–13-0.037%19 Jun →
cache13–50.0227%19 Jun →
inferno7–9-0.148%19 Jun →
cache8–13-0.068%18 Jun →
overpass13–11-0.0515%18 Jun →
ancient13–50.0217%18 Jun →
train13–40.0512%18 Jun →
anubis13–8-0.0010%17 Jun →
mirage11–13-0.0622%17 Jun →
anubis4–13-0.0310%17 Jun →
nuke7–130.0214%17 Jun →
train13–80.0420%17 Jun →
office12–12-0.0513%17 Jun →
dust213–6-0.0212%17 Jun →
train11–13-0.0313%16 Jun →
inferno7–13-0.0713%16 Jun →
nuke6–13-0.0628%16 Jun →
mirage13–80.0714%16 Jun →
dust25–13-0.0411%16 Jun →
cache11–130.0315%16 Jun →
ancient13–4-0.0211%16 Jun →
mirage13–00.0218%16 Jun →
mirage11–13-0.0211%16 Jun →
ancient7–13-0.068%16 Jun →
anubis12–120.0211%15 Jun →
cache9–13-0.0424%15 Jun →
ancient13–6-0.068%15 Jun →
cache12–120.0315%14 Jun →
train13–40.0320%14 Jun →

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 →

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