plant

plant — CS2 Stats

CA76561199221770169[U:1:1261504441]Steam profile ↗✓ No bans

307Tracked matches52%Win rate2023Tracked since
607Hours in CS5Hrs last 2 wks
CSDB Rating3.0 LearningPositional Player
Premier CS Rating8,273Light Blue band · top ~63.2% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (22 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 8,273 → 8,273
+2Tracked matches · now 307
0.0ppWin rate · 51.8% → 51.8%
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. 45 days played since 11 Sep 2023. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 8,273 +4,280 19 Nov30 Aug · 3 days played
3,9938,273peak 8,27319 Nov30 Aug
8,273Peak Premier in tracked matches
45Days played since 2023-09-11

Premier CS Rating

  • At peak — 8,273
  • Next: Blue band at 10,000 1,727 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-30

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 Light Blue band among CSDB-tracked players (n=8,337), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate48.4%39.9%41.9%above
Shot accuracy8.6%6.9%9.6%1.0% short
Kill/death ratio0.950.920.980.03 short
Match win rate46.2%42.3%43.8%above

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

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGplantPREMIER8,273 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim31
Positioning34
Utility17

0–100 skill scores via Leetify.

Recent form

STEADY434116Last 10043%Win rateWWTLLLTWWW

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · −0.8pp headshot accuracy · +4ms 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

  • 221 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 21%
  • Avg reaction 645ms

Last 10

  • 532 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 22%
  • Avg reaction 638ms

Last 20

  • 1163 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 23%
  • Avg reaction 636ms

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 (+1.2 against its own average).

Aim3.1
Utility1.7
Positioning3.4
Opening Duels1.6

Strong T-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 79% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 728ms 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

Aim3.1
Positioning3.4
Utility1.7
Mechanics5.8
Opening Duels0.0
Win Impact5.6

Composite 3.0/10 (Learning), 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 rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time641ms−113ms
first ⅓ avg 754ms → last ⅓ avg 641ms
Headshot accuracy21.8%+9.9%
first ⅓ avg 11.9% → last ⅓ avg 21.8%

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

0.19Best match rating · 9–1 · inferno, 8 Aug
56%Best headshot accuracy · 3–9 · inferno, 20 Aug
453msFastest reaction time · 3–9 · inferno, 20 Aug
16–4Biggest win · mirage, 22 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
514In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 64% over 14nukeWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB45212447%-0.02
dust2D1441029%0.01
mirageA149564%0.01
vertigoC114736%-0.03
nukeD82625%0.02
overpass42250%0.05
anubis21150%-0.00
office1010%-0.07
cache1010%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

19,644Lifetime kills
0.95K/D · Top 50% of Light Blue band
1,652Matches
46.2%Match win rate · Top 25% of Light Blue band
48.4%Headshot % · Top 25% of Light Blue band
8.6%Shot accuracy · Top 50% of Light Blue band
3,287MVPs
494Hours (in match)
637Bombs planted
693Bombs defused

Most-used weapons

Lifetime map wins

1,694dust2
1,345inferno
1,293vertigo
1,027nuke
161train
81office
38cbble
19italy

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.

11.9%Headshot accuracy
31.3%Accuracy (enemy spotted)
32.7%Spray accuracy
76.0%Counter-strafing
11.7°Preaim
728msReaction time
13.2%T opening success
23.3%CT opening success
0.33Enemies flashed / flash
4.5%Flash assists
10.82HE damage / grenade
5.62Flashes / 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 11.8987% — below the 15% mark we flag

    Aim Training
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 728.4972ms — above the 700ms mark we flag

    Aim Training
  3. 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 0.3301 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Nuke

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 8 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno9–60.0223%4 Sept
inferno9–10.0922%4 Sept
inferno8–8-0.1725%24 Aug
inferno4–9-0.0425%24 Aug
inferno3–9-0.0913%23 Aug
inferno2–9-0.1421%22 Aug
inferno8–8-0.0524%21 Aug
inferno9–70.1212%21 Aug
inferno9–30.1429%21 Aug
inferno9–2-0.0227%21 Aug
inferno8–8-0.128%21 Aug
inferno7–9-0.0725%21 Aug
inferno9–40.0124%21 Aug
inferno4–9-0.0527%21 Aug
inferno3–9-0.1456%20 Aug
inferno9–50.0425%20 Aug
inferno9–2-0.0127%19 Aug
inferno9–30.0213%19 Aug
inferno9–6-0.059%19 Aug
inferno9–7-0.0516%19 Aug
inferno9–6-0.0429%18 Aug
vertigo8–80.0515%18 Aug
inferno8–80.0110%18 Aug
vertigo9–7-0.0715%17 Aug
inferno7–9-0.1233%13 Aug
inferno9–30.0535%13 Aug
inferno7–9-0.0630%13 Aug
inferno4–9-0.135%8 Aug
inferno9–10.1920%8 Aug
vertigo7–9-0.0421%8 Aug
vertigo7–9-0.1720%5 Aug
inferno9–50.0318%5 Aug
vertigo9–50.1418%5 Aug
inferno8–8-0.0125%2 Aug
inferno4–9-0.109%1 Aug
dust213–8-0.0215%29 Jul
inferno4–9-0.1313%29 Jul
inferno9–00.1135%29 Jul
inferno6–9-0.0715%29 Jun
inferno9–40.0218%29 Jun
inferno9–10.0735%29 Jun
inferno5–9-0.1017%22 Jun
inferno6–9-0.0924%22 Jun
vertigo8–8-0.1727%22 Jun
inferno9–40.1121%22 Jun
dust29–13-0.0722%12 Jun
office5–13-0.070%4 Oct
anubis13–9-0.0213%24 Jun
nuke7–13-0.027%29 May
overpass8–80.1224%17 May
dust27–13-0.0824%6 May
vertigo13–7-0.018%30 Apr
dust213–50.0116%29 Apr
dust22–130.0924%29 Apr
nuke8–8-0.0017%26 Apr
vertigo9–20.0411%26 Apr
inferno11–13-0.0114%24 Apr
vertigo2–9-0.1021%21 Nov
inferno9–2-0.0417%21 Nov
anubis15–150.0214%19 Nov
mirage13–11-0.057%28 Sept
dust25–9-0.016%26 Sept
mirage3–16-0.0219%26 Sept
vertigo8–80.049%25 Sept
nuke9–50.0417%25 Sept
inferno7–160.014%25 Sept
mirage9–00.134%25 Sept
overpass9–20.098%24 Sept
mirage3–9-0.064%24 Sept
dust215–150.0712%24 Sept
inferno16–12-0.016%23 Sept
dust211–10.0910%23 Sept
inferno7–9-0.017%23 Sept
mirage16–40.0214%22 Sept
mirage9–50.0019%21 Sept
mirage9–30.0411%21 Sept
dust23–90.0115%20 Sept
nuke7–90.0014%20 Sept
mirage6–10.108%20 Sept
inferno7–90.0210%20 Sept
nuke8–80.0213%20 Sept
dust28–80.039%20 Sept
nuke8–80.028%20 Sept
dust27–90.0618%19 Sept
mirage7–90.0611%19 Sept
dust29–16-0.038%17 Sept
inferno7–160.0316%17 Sept
mirage16–130.029%17 Sept
overpass7–9-0.0515%17 Sept
nuke5–90.0115%16 Sept
overpass9–40.069%16 Sept
nuke9–60.0512%16 Sept
vertigo8–8-0.0514%16 Sept
dust27–9-0.0114%15 Sept
mirage9–40.019%14 Sept
mirage0–9-0.1015%14 Sept
cache7–9-0.0223%13 Sept
mirage9–5-0.0116%12 Sept
mirage4–9-0.0410%11 Sept
dust29–7-0.0612%11 Sept

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 →