Plekste

Plekste — CS2 Stats

US76561198966277680[U:1:1006011952]Steam profile ↗✓ No bans

1,240Tracked matches57%Win rate2020Tracked since
1,665Hours in CS3Hrs last 2 wks
CSDB Rating3.9 LearningClutch Specialist
Premier CS Rating15,701Purple band · top ~25.6% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Sep 2026 (2 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: 15,701 +7,074 13 Apr – 30 Sept · 33 days played
7,52115,836peak 15,83613 Apr30 Sept
Faceit ELO: 1,187 +0 2 Sept – 11 Sept · 2 observations
1,1871,187peak 1,1872 Sept11 Sept
16,207Peak Premier in tracked matches
1,187Highest Faceit ELO seen on CSDB
45Days played since 2026-04-13

Faceit ELO

  • At peak — 1,187
  • Next: Level 6 at 1,201 — 14 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-02
  • Level 4 first seen 2026-09-02

Premier CS Rating

  • 135 below peak (15,836)
  • +1,124 over 30 days · improving
  • +5,294 over 90 days
  • Next: Pink band at 20,000 — 4,299 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-11
  • Blue band first seen 2026-09-02

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Compare periods

Last 7 days vs previous 7

MetricLast 7Previous 7Change
Matches4——
Win rate25%——
K/D0.69——
Headshot %50%——

Measured 25 Sep 2026 → 2 Oct 2026; no observation near 14 days ago, so there is no previous window yet.

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches18——
Win rate44%——
K/D0.79——
Headshot %49%——

Measured 2 Sep 2026 → 2 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate56.4%44.3%46.9%above
Shot accuracy10.0%11.9%13.0%3.0% short
Kill/death ratio0.891.031.080.19 short
Match win rate46.1%45.2%46.7%meets

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

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

Share this profile

CSDB.GGPlekstePREMIER15,701 · Purple bandPEAK ELO1,187csdb.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

Aim40
Positioning35
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY50–46–4Last 10050%Win rateLLWWLWWLLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +2.5pp headshot accuracy · −34ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 26%
  • Avg reaction 661ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 632ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 649ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+1.6 against its own average).

Aim4.0
Utility4.0
Positioning3.5
Opening Duels0.0
Clutch4.6

Limited utility dependence

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

Twistzz

Plays most like Twistzz 76% 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. 665ms 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

Aim4.0
Positioning3.5
Utility4.0
Mechanics4.6
Opening Duels0.0
Win Impact7.4

Composite 3.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time658ms−70ms
first ⅓ avg 728ms → last ⅓ avg 658ms
Headshot accuracy21.3%+1.5%
first ⅓ avg 19.8% → last ⅓ avg 21.3%

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

0.21Best match rating · 13–10 · mirage, 24 Apr →
44%Best headshot accuracy · 13–9 · mirage, 8 Jul →
516msFastest reaction time · 7–13 · ancient, 15 Jun →
13–2Biggest win · nuke, 17 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
7–6In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 67% over 27ancientWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
mirageS2718–967%-0.01
infernoC156–940%-0.03
dust2B147–750%-0.01
anubisB126–650%-0.03
ancientC114–736%-0.06
cacheA95–456%-0.03
nukeA74–357%-0.02
overpass—30–30%-0.02
train—10–10%-0.06
office—10–10%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

37,628Lifetime kills
0.89K/D
2,404Matches
46.1%Match win rate · Top 50% of Purple band
56.4%Headshot % · Top 10% of Purple band
10.0%Shot accuracy
4,581MVPs
795Hours (in match)
1,532Bombs planted
665Bombs defused

Most-used weapons

Lifetime map wins

2,800office
2,191inferno
2,014nuke
1,643dust2
1,616vertigo
619train
533lake
95cbble

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

Faceit stats

Combat

168Matches
52%Win rate
0.84Avg K/D
60.2ADR
52%Headshot %

Clutches & streaks

43%1v1 clutch win
21%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4060%0.7811.6
Anubis3145%0.8512.1
Ancient1450%0.6911.2
Inferno1145%0.7611.4
Nuke1060%0.8612.5
Dust2771%1.2315.6
Vertigo757%0.7610.7
Cache10%0.508.0

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.

20.9%Headshot accuracy
27.9%Accuracy (enemy spotted)
34.1%Spray accuracy
70.6%Counter-strafing
11.8°Preaim
665msReaction time
12.3%T opening success
24.5%CT opening success
0.38Enemies flashed / flash
1.8%Flash assists
11.00HE damage / grenade
3.07Flashes / 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. 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 0.384 — below the 0.5 mark we flag

    Grenade Lineups →
  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 12.3231% — below the 40% mark we flag

Spend your practice time on Ancient

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

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–13-0.0642%30 Sept →
dust26–13-0.0616%30 Sept →
dust213–10-0.0327%30 Sept →
mirage13–7-0.0319%22 Sept →
ancient10–13-0.0126%22 Sept →
mirage13–80.0720%14 Sept →
anubis13–90.0218%13 Sept →
mirage8–13-0.0413%13 Sept →
cache7–13-0.0825%9 Sept →
anubis13–70.0325%9 Sept →
mirage9–130.0125%9 Sept →
anubis7–13-0.0128%8 Sept →
cache13–30.0320%8 Sept →
mirage13–70.0211%8 Sept →
ancient13–8-0.1016%7 Sept →
inferno8–13-0.0323%7 Sept →
inferno13–60.0120%19 Aug →
cache13–7-0.0617%4 Aug →
anubis13–11-0.0617%4 Aug →
cache13–50.0828%20 Jul →
inferno15–15-0.0419%20 Jul →
inferno14–16-0.079%17 Jul →
mirage15–15-0.0122%17 Jul →
cache13–5-0.0215%17 Jul →
nuke13–20.0628%17 Jul →
mirage16–14-0.0816%16 Jul →
anubis13–16-0.0324%16 Jul →
mirage13–8-0.0120%15 Jul →
nuke11–13-0.1122%15 Jul →
ancient9–13-0.0525%15 Jul →
cache9–13-0.0124%10 Jul →
mirage13–8-0.0322%10 Jul →
anubis10–13-0.0224%10 Jul →
anubis13–3-0.0429%10 Jul →
dust27–130.027%9 Jul →
cache13–40.0017%9 Jul →
mirage13–20.0240%9 Jul →
cache12–12-0.0821%8 Jul →
mirage13–9-0.0344%8 Jul →
ancient7–13-0.0612%8 Jul →
mirage8–13-0.038%3 Jul →
inferno13–70.0342%2 Jul →
ancient13–11-0.0617%2 Jul →
inferno6–13-0.0536%1 Jul →
nuke13–8-0.0415%1 Jul →
dust213–4-0.0319%1 Jul →
ancient13–11-0.0814%30 Jun →
inferno13–10-0.0224%30 Jun →
mirage13–10-0.0415%30 Jun →
ancient5–13-0.0521%25 Jun →
train5–13-0.0626%18 Jun →
dust213–90.0432%18 Jun →
ancient7–13-0.1123%15 Jun →
anubis13–16-0.0419%15 Jun →
mirage13–7-0.0323%15 Jun →
anubis10–13-0.0621%10 Jun →
mirage13–9-0.0125%10 Jun →
mirage16–12-0.0717%10 Jun →
anubis4–13-0.1040%9 Jun →
overpass10–13-0.0325%9 Jun →
mirage10–13-0.0514%4 Jun →
inferno13–11-0.0217%4 Jun →
nuke6–13-0.0523%4 Jun →
mirage15–15-0.0919%3 Jun →
dust23–13-0.0638%3 Jun →
inferno8–13-0.0236%28 May →
dust213–30.0116%28 May →
mirage13–110.0021%21 May →
dust213–9-0.0412%21 May →
nuke13–5-0.0220%19 May →
dust213–70.0729%18 May →
ancient7–13-0.0615%18 May →
ancient13–9-0.0416%4 May →
anubis13–10-0.0516%4 May →
anubis13–50.0025%30 Apr →
mirage13–6-0.0721%30 Apr →
overpass11–13-0.048%30 Apr →
dust210–13-0.0813%29 Apr →
cache9–13-0.0915%29 Apr →
mirage7–130.0221%28 Apr →
dust213–20.0231%28 Apr →
mirage13–40.0537%27 Apr →
mirage13–100.2126%24 Apr →
ancient11–13-0.0117%24 Apr →
inferno11–13-0.0317%24 Apr →
dust28–13-0.0122%24 Apr →
overpass9–130.0016%23 Apr →
mirage13–90.0319%21 Apr →
office5–130.0229%21 Apr →
mirage13–3-0.0616%20 Apr →
inferno6–13-0.0323%20 Apr →
inferno11–13-0.0119%17 Apr →
dust28–13-0.039%16 Apr →
mirage8–13-0.0411%16 Apr →
inferno13–110.019%16 Apr →
nuke5–13-0.0326%16 Apr →
dust23–13-0.0417%15 Apr →
mirage8–130.0221%14 Apr →
inferno13–8-0.0638%14 Apr →
nuke13–80.0221%13 Apr →

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.