plexor

plexor — CS2 Stats

DE76561198062247993[U:1:101982265]Steam profile ↗✓ No bans

1,742Tracked matches66%Win rate2020Tracked since
5,023Hours in CS27Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
FaceitLevel 8 · 1,397 ELOTop 31.2% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 9 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,397 → 1,397
+19Tracked matches · now 1,742
0.0ppWin rate · 65.5% → 65.5%
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. 55 days played since 27 Apr 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

Faceit ELO: 1,397 +0 6 Sept – 9 Sept · 2 observations
1,3971,397peak 1,3976 Sept9 Sept
1,397Highest Faceit ELO seen on CSDB
55Days played since 2026-04-27

Faceit ELO

  • At peak — 1,397
  • Next: Level 8 at 1,531 — 134 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-06
  • Level 6 first seen 2026-09-06

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=14,086), 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 8 medianLevel 9 medianvs Level 9
Headshot rate58.4%46.8%48.3%above
Shot accuracy10.3%13.0%13.2%2.9% short
Kill/death ratio1.321.061.07above
Match win rate40.7%46.3%46.9%6.2% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGplexorFACEITLevel 8 · 1,397 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,397csdb.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

Aim69
Positioning56
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY51–45–4Last 10051%Win rateWLLLTWLWWW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −1.2pp headshot accuracy · −19ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 569ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 534ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 15%
  • Avg reaction 543ms

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 Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim6.9
Utility5.5
Positioning5.6
Opening Duels1.6
Clutch4.0

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

device

Plays most like device 83% 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 →

CSDB Rating breakdown

Aim6.9
Positioning5.6
Utility5.5
Mechanics5.8
Opening Duels1.8
Win Impact10.0

Composite 5.5/10 (Solid), 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 rating0.02+0.02
first ⅓ avg 0.00 → last ⅓ avg 0.02
Reaction time528ms−72ms
first ⅓ avg 600ms → last ⅓ avg 528ms
Headshot accuracy15.0%−2.2%
first ⅓ avg 17.2% → last ⅓ avg 15.0%

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

0.16Best match rating · 13–5 · dust2, 28 Aug →
33%Best headshot accuracy · 3–13 · anubis, 13 Jun →
391msFastest reaction time · 10–13 · anubis, 26 Aug →
13–1Biggest win · nuke, 14 Aug →

Across the last 100 tracked matches.

Highlights

7Longest win streak
9–4In matches decided by ≤2 rounds
13Overtime games

Map breakdown

dust2Best map · 63% over 38cacheWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A3824–1463%0.02
infernoB2010–1050%-0.02
anubisC176–1135%-0.01
nukeB126–650%0.01
cacheD92–722%0.02
mirage—21–150%-0.05
ancient—11–0100%0.04
overpass—11–0100%0.06

Across the last 100 tracked matches.

Lifetime stats

211,268Lifetime kills
1.32K/D · Top 25% of Level 8 players
6,366Matches
40.7%Match win rate
58.4%Headshot % · Top 10% of Level 8 players
10.3%Shot accuracy
12,340MVPs
3,271Hours (in match)
4,837Bombs planted
1,575Bombs defused

Most-used weapons

AK-47119,060
AWP8,393
FAMAS3,634
P903,204
MP72,729

Lifetime map wins

34,935dust2
5,327inferno
4,476nuke
1,298vertigo
624cbble
601train
291office
223lake

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

Faceit stats

Combat

645Matches
50%Win rate
1.00Avg K/D
77.1ADR
44%Headshot %

Clutches & streaks

40%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust215856%1.1015.3
Anubis12048%1.0214.8
Inferno7254%0.9715.1
Nuke6052%0.9915.6
Mirage2326%0.8414.1
Ancient2148%1.1019.1
Overpass1155%0.9514.4
Vertigo1127%0.8415.4

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.

15.0%Headshot accuracy
34.6%Accuracy (enemy spotted)
40.6%Spray accuracy
75.9%Counter-strafing
10.5°Preaim
526msReaction time
33.9%T opening success
40.2%CT opening success
0.41Enemies flashed / flash
6.7%Flash assists
5.69HE damage / grenade
16.45Flashes / 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 0.407 — 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 33.9071% — below the 40% mark we flag

Spend your practice time on Cache

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis13–60.0515%16 Sept →
dust27–13-0.0512%15 Sept →
anubis10–13-0.058%12 Sept →
anubis12–16-0.0810%8 Sept →
dust212–120.0524%8 Sept →
inferno13–80.0214%4 Sept →
cache9–130.0116%4 Sept →
dust213–100.0717%2 Sept →
anubis13–11-0.0215%2 Sept →
dust213–80.0811%31 Aug →
cache10–130.0715%31 Aug →
anubis5–13-0.0824%29 Aug →
dust213–90.0613%29 Aug →
dust29–130.0314%29 Aug →
dust24–13-0.0611%29 Aug →
dust213–50.1614%28 Aug →
anubis10–13-0.0410%26 Aug →
dust213–30.0213%26 Aug →
dust213–80.0620%26 Aug →
dust213–50.0620%24 Aug →
nuke13–70.0118%24 Aug →
dust213–30.1317%22 Aug →
inferno19–160.0316%22 Aug →
nuke10–13-0.0212%21 Aug →
anubis13–20.0412%21 Aug →
nuke22–180.0116%19 Aug →
ancient13–90.0421%17 Aug →
mirage19–150.0015%16 Aug →
dust216–140.0514%16 Aug →
anubis16–130.0915%16 Aug →
nuke13–10.039%14 Aug →
dust211–13-0.0422%13 Aug →
anubis7–13-0.0211%12 Aug →
dust210–13-0.0714%10 Aug →
dust213–110.0118%9 Aug →
anubis8–130.0618%9 Aug →
cache6–130.0020%7 Aug →
nuke10–130.0214%5 Aug →
anubis16–14-0.0312%3 Aug →
dust24–13-0.0315%3 Aug →
anubis14–160.019%1 Aug →
cache13–40.0314%1 Aug →
dust213–30.0110%1 Aug →
dust29–13-0.0322%14 Jul →
dust213–10-0.0519%14 Jul →
cache0–13-0.098%12 Jul →
cache8–130.0717%12 Jul →
inferno13–5-0.0218%12 Jul →
inferno13–90.0315%12 Jul →
inferno9–13-0.0314%12 Jul →
dust26–130.0015%12 Jul →
anubis4–13-0.0614%12 Jul →
dust210–13-0.0120%10 Jul →
dust213–10.0224%9 Jul →
inferno9–7-0.1029%8 Jul →
inferno13–10-0.038%7 Jul →
anubis8–13-0.0320%7 Jul →
dust213–110.019%7 Jul →
inferno3–13-0.0818%6 Jul →
anubis7–130.0320%4 Jul →
nuke13–100.0225%4 Jul →
dust213–80.0119%4 Jul →
mirage2–13-0.1024%4 Jul →
nuke15–150.0414%3 Jul →
inferno5–9-0.113%30 Jun →
nuke10–13-0.0421%29 Jun →
overpass13–80.0613%24 Jun →
dust22–13-0.0114%24 Jun →
anubis3–13-0.0633%13 Jun →
dust213–60.0532%13 Jun →
nuke13–50.0420%12 Jun →
inferno8–13-0.0319%12 Jun →
dust213–90.0316%10 Jun →
inferno7–13-0.0512%10 Jun →
inferno8–8-0.1111%6 Jun →
dust24–130.0117%6 Jun →
dust213–50.0124%5 Jun →
inferno9–60.0830%5 Jun →
inferno16–120.0214%3 Jun →
inferno2–9-0.1618%30 May →
dust211–130.019%22 May →
nuke12–160.0426%19 May →
inferno9–70.054%18 May →
dust214–160.0324%17 May →
dust213–40.0116%17 May →
dust213–100.0116%15 May →
anubis13–40.0614%15 May →
dust213–100.0715%15 May →
dust213–11-0.0516%15 May →
inferno5–90.0611%14 May →
dust213–6-0.0221%10 May →
inferno9–60.0715%9 May →
inferno19–22-0.039%4 May →
cache13–100.0815%4 May →
cache3–130.0211%4 May →
cache8–130.0221%4 May →
dust213–8-0.0019%4 May →
inferno8–8-0.0915%29 Apr →
nuke13–110.0513%27 Apr →
nuke7–13-0.0319%27 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 →