pLx

pLx — CS2 Stats

76561197971219751[U:1:10954023]Steam profile ↗✓ No bans

2,213Tracked matches48%Win rate2020Tracked since
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating23,007Top 25% of 175,286 CSDB-tracked playersPink band · top ~5.2% of ranked players (population est.)
CSDB Leaderboard#38052 of 220522 tracked
FaceitLevel 8 · 1,645 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. 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. 34 days played since 4 Aug 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: 23,007 +1,912 4 Aug16 Sept · 16 days played
21,09524,440peak 24,4404 Aug16 Sept
Faceit ELO: 1,645 +0 10 Sept14 Sept · 3 observations
1,6451,645peak 1,64510 Sept14 Sept
24,554Peak Premier in tracked matches
1,645Highest Faceit ELO seen on CSDB
34Days played since 2026-08-04

Faceit ELO

  • At peak — 1,645
  • Next: Level 9 at 1,751 106 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-09-10
  • Level 7 first seen 2026-09-10

Premier CS Rating

  • 1,433 below peak (24,440)
  • -750 over 30 days · declining
  • Next: Red band at 25,000 1,993 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-10
  • Purple band first seen 2026-09-10

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.

Share this profile

CSDB.GGpLxFACEITLevel 8 · 1,645 ELOSTANDINGTop 31.2% of rankedPREMIER23,007 · Pink bandPEAK ELO1,645csdb.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

Aim63
Positioning58
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY56413Last 10056%Win rateLWWWWLLLWL

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · +3.0pp headshot accuracy · −47ms reaction

Win rate up 30pp 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

  • 41 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 530ms

Last 10

  • 55 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 530ms

Last 20

  • 7121 · 35% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 553ms

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 (+1.4 against its own average).

Aim6.3
Utility4.0
Positioning5.8
Opening Duels3.5
Clutch4.4

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

iM

Plays most like iM 87% 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. 606ms 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

Aim6.3
Positioning5.8
Utility4.0
Mechanics4.5
Opening Duels3.2
Win Impact4.4

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time591ms+25ms
first ⅓ avg 565ms → last ⅓ avg 591ms
Headshot accuracy18.8%−0.5%
first ⅓ avg 19.4% → last ⅓ avg 18.8%

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

0.17Best match rating · 6–0 · nuke, 4 Aug
43%Best headshot accuracy · 9–6 · inferno, 5 Sept
375msFastest reaction time · 10–13 · cache, 16 Aug
13–0Biggest win · nuke, 17 Aug

Across the last 100 tracked matches.

Highlights

10Longest win streak
109In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 68% over 19infernoWeakest map · 42% over 19
MapGradePlayedRecordWin rateAvg rating
cacheB22111150%-0.01
anubisA2011955%-0.00
nukeS1913668%0.02
infernoC1981142%-0.02
dust2B137654%-0.00
ancient32167%0.01
mirage330100%0.01
vertigo110100%0.12

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

937Matches
51%Win rate
1.00Avg K/D
70.8ADR
46%Headshot %

Clutches & streaks

42%1v1 clutch win
18%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno15051%0.9314.2
Nuke11555%1.0615.3
Dust210152%0.9413.7
Anubis9748%0.9313.8
Mirage9146%1.0015.0
Ancient6341%0.9816.2
Train5151%0.9414.4
Overpass3549%1.1214.8

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.

18.6%Headshot accuracy
32.3%Accuracy (enemy spotted)
41.1%Spray accuracy
70.3%Counter-strafing
9.4°Preaim
606msReaction time
41.9%T opening success
44.0%CT opening success
0.43Enemies flashed / flash
3.1%Flash assists
9.12HE damage / grenade
4.86Flashes / 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 0.4314 — below the 0.5 mark we flag

    Grenade Lineups
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.

42% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient1–13-0.0715%16 Sept
dust216–120.0821%15 Sept
anubis13–90.0130%12 Sept
cache13–30.0023%9 Sept
cache13–6-0.0216%9 Sept
nuke4–130.0021%8 Sept
cache10–130.0219%8 Sept
anubis10–13-0.0413%7 Sept
inferno9–60.1243%5 Sept
anubis8–13-0.0310%5 Sept
inferno11–13-0.0110%4 Sept
inferno6–9-0.0416%4 Sept
dust213–110.1222%3 Sept
nuke0–13-0.0110%2 Sept
cache7–13-0.0424%1 Sept
cache15–150.0023%31 Aug
nuke13–70.0416%31 Aug
anubis6–13-0.0515%31 Aug
anubis9–130.0024%30 Aug
cache6–13-0.0219%30 Aug
dust213–70.1222%30 Aug
nuke13–60.029%28 Aug
cache16–14-0.0121%28 Aug
cache13–80.0518%28 Aug
nuke13–2-0.0221%26 Aug
anubis13–60.0815%25 Aug
cache13–10-0.0129%25 Aug
dust211–13-0.0517%25 Aug
dust26–13-0.1133%24 Aug
cache11–13-0.0411%20 Aug
anubis7–13-0.049%20 Aug
anubis13–50.0712%20 Aug
nuke11–130.0312%20 Aug
anubis13–9-0.0322%20 Aug
ancient13–100.0132%20 Aug
nuke13–80.0324%19 Aug
anubis13–8-0.0018%19 Aug
dust213–10-0.0217%19 Aug
cache13–20.0913%19 Aug
cache13–10-0.0114%19 Aug
nuke13–110.0814%19 Aug
mirage13–100.0211%19 Aug
inferno13–80.0114%19 Aug
anubis8–13-0.0513%18 Aug
nuke13–00.0318%17 Aug
anubis13–50.0113%17 Aug
nuke13–60.0921%17 Aug
inferno8–13-0.0111%17 Aug
cache10–13-0.0723%16 Aug
anubis11–13-0.0314%16 Aug
inferno13–60.0320%16 Aug
anubis13–16-0.0515%15 Aug
dust210–13-0.0120%15 Aug
mirage16–130.0221%15 Aug
anubis11–130.0113%15 Aug
inferno7–13-0.0912%14 Aug
nuke11–13-0.0119%14 Aug
dust25–13-0.0511%14 Aug
dust213–10-0.0318%13 Aug
cache6–13-0.068%13 Aug
dust21–13-0.0228%13 Aug
nuke13–110.0128%13 Aug
dust211–13-0.0119%13 Aug
cache16–120.0624%13 Aug
cache13–16-0.0314%12 Aug
cache12–12-0.0312%11 Aug
cache8–13-0.057%10 Aug
inferno7–13-0.0615%10 Aug
inferno8–8-0.0111%9 Aug
inferno10–13-0.0111%8 Aug
anubis13–11-0.0217%8 Aug
nuke3–13-0.0623%7 Aug
ancient13–110.0821%7 Aug
dust213–6-0.0218%7 Aug
nuke13–110.0111%6 Aug
nuke13–9-0.0216%6 Aug
inferno13–50.0326%6 Aug
cache13–100.0418%6 Aug
anubis13–20.0627%6 Aug
cache16–130.0321%6 Aug
inferno2–9-0.2012%6 Aug
vertigo9–30.1226%6 Aug
dust213–5-0.0017%6 Aug
nuke13–30.0812%6 Aug
inferno13–60.0639%6 Aug
anubis13–50.0516%6 Aug
nuke11–130.0228%5 Aug
cache13–9-0.0315%5 Aug
nuke13–100.0013%5 Aug
anubis13–110.0114%4 Aug
cache10–13-0.0023%4 Aug
anubis13–80.0218%4 Aug
mirage13–8-0.0220%4 Aug
inferno4–9-0.0435%4 Aug
inferno1–9-0.1014%4 Aug
inferno9–70.0416%4 Aug
inferno9–2-0.0113%4 Aug
nuke6–00.1716%4 Aug
inferno9–70.0326%4 Aug
inferno1–9-0.1731%4 Aug

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →