weed cat

weed cat — CS2 Stats

US76561198101917197[U:1:141651469]Steam profile ↗✓ No bans

319Tracked matches72%Win rate2026Tracked since
688Hours in CS
CSDB Rating4.6 DevelopingPositional Player
Premier CS Rating10,453Blue band · top ~52.5% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 319 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 27 days played since 27 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 10,453 +0 30 Jun17 Sept · 2 days played
10,45310,453peak 10,45330 Jun17 Sept
10,556Peak Premier in tracked matches
27Days played since 2026-05-27

Premier CS Rating

  • At peak — 10,453
  • 0 over 90 days
  • Next: Purple band at 15,000 4,547 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-17
  • Light Blue band first seen 2026-09-17

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=19,543), 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 rate37.7%41.9%44.3%6.6% short
Shot accuracy16.6%9.6%11.8%above
Kill/death ratio1.310.981.03above
Match win rate39.4%43.8%45.2%5.8% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. 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.GGweed catPREMIER10,453 · Blue bandcsdb.gg/stats

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Performance scores

Aim38
Positioning53
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY62299Last 10062%Win rateLWWWLLWWWW

Last 10 vs previous 10: −20pp win rate · +0.01 avg rating · +1.8pp headshot accuracy · −36ms 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

  • 32 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 16%
  • Avg reaction 630ms

Last 10

  • 73 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 689ms

Last 20

  • 164 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 707ms

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: Positional PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim3.8
Utility4.4
Positioning5.3
Opening Duels2.3

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

jL

Plays most like jL 70% playstyle similarity

Most alike: positioning profile, utility contribution.

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

T-side openings. Opening success drops from 51% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 678ms 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

Aim3.8
Positioning5.3
Utility4.4
Mechanics4.6
Opening Duels2.7
Win Impact10.0

Composite 4.6/10 (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 rating0.02+0.03
first ⅓ avg -0.01 → last ⅓ avg 0.02
Reaction time680ms+29ms
first ⅓ avg 651ms → last ⅓ avg 680ms
Headshot accuracy17.0%+0.7%
first ⅓ avg 16.2% → last ⅓ avg 17.0%

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

0.22Best match rating · 13–4 · italy, 28 Jun
40%Best headshot accuracy · 13–6 · nuke, 30 Jun
453msFastest reaction time · 13–11 · office, 27 Jun
13–2Biggest win · vertigo, 4 Jul

Across the last 100 tracked matches.

Highlights

9Longest win streak
66In matches decided by ≤2 rounds
1Overtime games

Map breakdown

officeBest map · 75% over 8dust2Weakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
trainB137654%0.01
infernoA138562%0.00
vertigoS118373%-0.01
nukeS107370%0.04
overpassS107370%0.02
officeS86275%0.02
mirageA74357%0.04
dust2C73443%-0.00
cacheS64267%-0.02
anubisS64267%0.02
ancient42250%0.01
italy31233%0.06
poseidon1010%-0.10
warden110100%0.14

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

46,922Lifetime kills
1.31K/D · Top 10% of Blue band
2,166Matches
39.4%Match win rate
37.7%Headshot %
16.6%Shot accuracy · Top 25% of Blue band
5,698MVPs
688Hours (in match)
2,804Bombs planted
894Bombs defused

Most-used weapons

AK-479,215
AWP3,120
P2502,074
MP91,890
Nova1,234

Lifetime map wins

3,330dust2
2,251inferno
1,883nuke
668train
557office
413vertigo
237italy
210lake

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.

16.3%Headshot accuracy
29.9%Accuracy (enemy spotted)
32.7%Spray accuracy
70.8%Counter-strafing
10.6°Preaim
678msReaction time
23.0%T opening success
51.3%CT opening success
0.50Enemies flashed / flash
4.7%Flash assists
11.06HE damage / grenade
5.99Flashes / 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. 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 23.0126% — below the 40% mark we flag

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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
train8–130.0213%12 Jul
inferno13–100.0419%12 Jul
office13–60.0621%9 Jul
mirage13–50.114%9 Jul
nuke9–130.0423%9 Jul
cache6–13-0.0425%9 Jul
nuke13–110.0022%5 Jul
cache13–10-0.027%5 Jul
ancient13–50.0825%5 Jul
overpass13–6-0.0115%4 Jul
vertigo13–20.015%4 Jul
mirage6–00.1229%4 Jul
nuke5–130.0218%4 Jul
train13–70.0117%4 Jul
train13–30.0214%3 Jul
cache13–4-0.0215%3 Jul
office12–6-0.0218%3 Jul
overpass13–5-0.0113%3 Jul
vertigo13–110.0313%3 Jul
anubis13–100.0414%3 Jul
inferno1–13-0.105%2 Jul
train11–10.0113%2 Jul
mirage13–6-0.0319%2 Jul
ancient10–13-0.0123%1 Jul
inferno0–13-0.0625%1 Jul
train12–120.0221%1 Jul
office13–50.0514%1 Jul
vertigo13–110.0122%1 Jul
nuke13–20.1011%1 Jul
inferno13–160.0111%30 Jun
dust213–70.017%30 Jun
overpass11–130.0222%30 Jun
nuke13–60.0440%30 Jun
italy6–13-0.0722%29 Jun
vertigo13–60.0917%29 Jun
inferno8–130.0221%29 Jun
italy13–40.2220%28 Jun
inferno13–7-0.0011%28 Jun
office10–130.0517%28 Jun
train12–120.069%27 Jun
office13–110.0118%27 Jun
overpass13–5-0.0318%27 Jun
inferno13–110.0419%27 Jun
dust213–50.1016%27 Jun
mirage9–13-0.0118%27 Jun
nuke13–50.1416%26 Jun
mirage11–130.0213%26 Jun
inferno13–40.0927%26 Jun
vertigo13–80.098%26 Jun
nuke13–50.099%26 Jun
overpass12–120.0110%25 Jun
vertigo12–12-0.0422%24 Jun
overpass13–80.0421%24 Jun
italy10–130.0220%24 Jun
inferno8–30.029%24 Jun
office13–90.0222%24 Jun
train13–4-0.0022%22 Jun
vertigo13–30.0532%22 Jun
office13–10-0.0138%22 Jun
mirage13–50.1024%22 Jun
overpass13–50.0312%22 Jun
inferno13–3-0.0118%22 Jun
nuke13–2-0.0821%21 Jun
inferno12–120.0322%21 Jun
dust213–40.0422%21 Jun
cache5–13-0.0925%21 Jun
mirage12–12-0.0311%21 Jun
overpass13–50.1310%21 Jun
train13–40.0319%21 Jun
dust22–13-0.0614%20 Jun
train12–12-0.0321%20 Jun
train10–130.0019%20 Jun
overpass13–80.0421%15 Jun
dust211–13-0.0611%15 Jun
inferno13–11-0.0119%13 Jun
inferno13–6-0.0212%13 Jun
dust23–13-0.0621%13 Jun
nuke13–9-0.0418%13 Jun
anubis11–13-0.0214%11 Jun
train13–6-0.0119%11 Jun
dust211–130.0118%10 Jun
train11–13-0.0610%10 Jun
cache13–2-0.0014%10 Jun
train13–70.0320%7 Jun
vertigo0–9-0.2140%7 Jun
vertigo13–8-0.0527%7 Jun
vertigo13–5-0.0114%7 Jun
overpass5–130.0010%5 Jun
poseidon5–9-0.1010%4 Jun
vertigo3–9-0.1016%4 Jun
ancient13–100.0115%4 Jun
cache13–20.0420%4 Jun
office7–13-0.0411%4 Jun
nuke9–130.0522%31 May
ancient12–12-0.0316%30 May
warden13–20.1410%30 May
anubis13–10-0.0710%30 May
anubis13–60.0714%30 May
anubis12–120.069%27 May
anubis13–60.0515%27 May

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 →