WEEDOO

WEEDOO — CS2 Stats

NL76561199202391300[U:1:1242125572]Steam profile ↗✓ No bans

1,996Tracked matches39%Win rate2021Tracked since
1,822Hours in CS
CSDB Rating4.3 DevelopingSupport
Premier CS Rating7,981Light Blue band · top ~64.5% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (26 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: 7,981 -3,806 11 Aug – 4 Oct · 33 days played
7,96114,156peak 14,15611 Aug4 Oct
14,425Peak Premier in tracked matches
32Days played since 2026-08-11

Premier CS Rating

  • 6,175 below peak (14,156)
  • -2,706 over 30 days · declining
  • Next: Blue band at 10,000 — 2,019 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-06
  • Light Blue band first seen 2026-09-06

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 2 among CSDB-tracked players (n=6,128), 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 2 medianLevel 3 medianvs Level 3
Headshot rate42.3%41.3%41.8%meets
Shot accuracy10.6%12.7%12.2%1.6% short
Kill/death ratio0.850.950.980.13 short
Match win rate41.9%42.6%43.3%1.3% short

This profile matches the typical Level 3 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWEEDOOFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER7,981 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim52
Positioning47
Utility82

0–100 skill scores via Leetify.

Recent form

COLD39–57–4Last 10039%Win rateLLLWLLLLWW

Last 10 vs previous 10: 0pp win rate · +0.04 avg rating · +3.0pp headshot accuracy · +78ms reaction

Win rate 0pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 12%
  • Avg reaction 647ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 681ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 14%
  • Avg reaction 641ms

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 (+3.3 against its own average).

Aim5.2
Utility8.2
Positioning4.7
Opening Duels0.7
Clutch6.0

Effective flashesHigh utility contribution

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

iM

Plays most like iM 55% 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

Strengths

Flashes. 0.86 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 82 — grenade impact well above the norm.

Areas to improve

CT openings. Opening success drops from 49% on T to 29% on CT — first contacts on the defending side are being lost.

Reaction time. 626ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 70% 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

Aim5.2
Positioning4.7
Utility8.2
Mechanics4.4
Opening Duels2.3
Win Impact1.4

Composite 4.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.04
first ⅓ avg -0.03 → last ⅓ avg 0.00
Reaction time633ms−77ms
first ⅓ avg 710ms → last ⅓ avg 633ms
Headshot accuracy15.2%−3.4%
first ⅓ avg 18.5% → last ⅓ avg 15.2%

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

0.23Best match rating · 13–4 · mirage, 2 Oct →
37%Best headshot accuracy · 9–13 · mirage, 12 Aug →
469msFastest reaction time · 0–10 · ancient, 12 Sept →
13–1Biggest win · anubis, 23 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L3Current streak
6–11In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 75% over 8infernoWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
dust2D3110–2132%-0.03
infernoD164–1225%-0.05
cacheA138–562%-0.02
mirageD124–833%0.02
ancientC104–640%-0.02
anubisD93–633%-0.02
nukeS86–275%-0.02
poseidon—10–10%-0.10

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

75,751Lifetime kills
0.85K/D
4,743Matches
41.9%Match win rate
42.3%Headshot % · Top 50% of Level 2 players
10.6%Shot accuracy
7,860MVPs
1,822Hours (in match)
5,514Bombs planted
708Bombs defused

Most-used weapons

AK-4715,647
AWP5,752
MP94,316
MAC-102,755
FAMAS2,738

Lifetime map wins

19,051dust2
5,802inferno
3,019nuke
1,238vertigo
519train
493office
68italy
15cbble

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

Faceit stats

Combat

17Matches
41%Win rate
0.70Avg K/D
95.5ADR
42%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust21100%1.1416.0
Mirage10%0.183.0
Inferno1100%1.2922.0
Nuke1100%1.2918.0
Train1100%1.5625.0

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.

14.7%Headshot accuracy
32.5%Accuracy (enemy spotted)
31.1%Spray accuracy
69.8%Counter-strafing
8.1°Preaim
626msReaction time
48.6%T opening success
28.8%CT opening success
0.86Enemies flashed / flash
4.9%Flash assists
15.76HE damage / grenade
14.53Flashes / 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 14.7228% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 28.8021% — below the 40% mark we flag

Spend your practice time on Inferno

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke6–13-0.038%4 Oct →
ancient11–13-0.036%4 Oct →
cache6–13-0.067%2 Oct →
mirage13–40.2328%2 Oct →
mirage4–13-0.0311%26 Sept →
mirage11–130.0620%26 Sept →
cache1–13-0.0619%26 Sept →
mirage11–130.0113%26 Sept →
dust216–130.0126%26 Sept →
cache13–70.0720%26 Sept →
inferno9–13-0.0616%26 Sept →
anubis13–160.008%24 Sept →
nuke15–15-0.056%24 Sept →
inferno5–13-0.0619%24 Sept →
dust215–150.0113%24 Sept →
cache13–90.0212%24 Sept →
dust213–7-0.0112%24 Sept →
inferno7–13-0.058%24 Sept →
nuke13–4-0.0117%24 Sept →
ancient5–13-0.0115%24 Sept →
dust213–10-0.0122%24 Sept →
cache11–13-0.0111%24 Sept →
dust29–13-0.0215%24 Sept →
anubis13–10.0417%23 Sept →
mirage13–110.0414%23 Sept →
dust211–13-0.0112%23 Sept →
nuke13–80.0724%23 Sept →
mirage6–130.0319%23 Sept →
dust28–130.0021%22 Sept →
ancient16–130.0012%22 Sept →
dust213–100.0619%21 Sept →
inferno11–13-0.0219%18 Sept →
inferno13–4-0.0012%17 Sept →
anubis13–6-0.0312%17 Sept →
inferno4–13-0.098%13 Sept →
dust26–13-0.0413%13 Sept →
ancient13–7-0.0415%12 Sept →
inferno3–13-0.0914%12 Sept →
ancient0–10-0.100%12 Sept →
dust23–13-0.0916%11 Sept →
dust28–13-0.0920%11 Sept →
inferno5–9-0.1215%11 Sept →
dust25–13-0.0523%10 Sept →
mirage13–7-0.0121%10 Sept →
mirage15–15-0.0216%10 Sept →
anubis1–13-0.1013%10 Sept →
anubis8–13-0.0414%8 Sept →
ancient8–13-0.015%8 Sept →
mirage6–13-0.029%8 Sept →
inferno6–13-0.0323%2 Sept →
dust213–7-0.058%2 Sept →
dust22–13-0.0612%30 Aug →
dust23–13-0.097%29 Aug →
dust215–15-0.0010%29 Aug →
inferno4–9-0.0517%29 Aug →
poseidon4–9-0.107%29 Aug →
dust213–70.0615%29 Aug →
cache13–100.0621%28 Aug →
cache13–11-0.0613%28 Aug →
dust29–13-0.0816%27 Aug →
dust25–130.0718%27 Aug →
anubis8–13-0.0311%27 Aug →
inferno11–13-0.0315%27 Aug →
inferno14–16-0.0123%25 Aug →
dust210–13-0.0121%25 Aug →
ancient4–13-0.0124%25 Aug →
inferno8–13-0.0313%24 Aug →
dust28–13-0.107%22 Aug →
mirage6–130.0213%22 Aug →
anubis8–13-0.0119%22 Aug →
anubis11–13-0.0410%21 Aug →
cache13–1-0.0115%21 Aug →
inferno13–7-0.0614%21 Aug →
cache13–6-0.0328%21 Aug →
nuke16–14-0.0111%21 Aug →
dust211–13-0.0423%21 Aug →
inferno13–10-0.0520%20 Aug →
dust213–10-0.0417%19 Aug →
cache13–50.0518%19 Aug →
anubis10–30.0116%19 Aug →
nuke13–8-0.0630%18 Aug →
dust213–6-0.0112%18 Aug →
cache9–13-0.0311%17 Aug →
ancient13–4-0.0219%17 Aug →
dust211–13-0.058%17 Aug →
ancient13–110.0018%17 Aug →
nuke13–11-0.0512%15 Aug →
ancient9–13-0.0327%15 Aug →
dust213–2-0.0316%15 Aug →
cache1–13-0.1122%14 Aug →
inferno8–3-0.0418%14 Aug →
mirage16–14-0.0419%14 Aug →
dust28–13-0.0522%13 Aug →
dust29–13-0.0712%13 Aug →
dust213–80.0631%12 Aug →
dust27–13-0.0730%12 Aug →
mirage9–130.0137%12 Aug →
nuke13–7-0.0518%12 Aug →
dust28–13-0.0616%12 Aug →
cache11–7-0.0523%11 Aug →

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 →

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