Plex

Plex — CS2 Stats

76561198022609610[U:1:62343882]Steam profile ↗✓ No bans

545Tracked matches57%Win rate2020Tracked since
CSDB Rating4.4 DevelopingSupport
Premier CS Rating10,290Blue band · top ~53.4% of ranked players (population est.)
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Nov 2026 (4 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: 10,290 +1,551 31 May – 1 Nov · 29 days played
7,49410,290peak 10,29031 May1 Nov
10,503Peak Premier in tracked matches
38Days played since 2026-05-31

Premier CS Rating

  • At peak — 10,290
  • +760 over 30 days · improving
  • Next: Purple band at 15,000 — 4,710 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGPlexPREMIER10,290 · Blue bandcsdb.gg/stats

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Performance scores

Aim34
Positioning56
Utility61

0–100 skill scores via Leetify.

Recent form

HOT55–42–3Last 10055%Win rateWLLWWWWWLW

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +2.5pp headshot accuracy · +69ms reaction

Win rate up 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 (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 658ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 663ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 629ms

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: Support — Utility contribution stands above the rest of this profile (+1.6 against its own average).

Aim3.4
Utility6.1
Positioning5.6
Opening Duels1.7

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 59% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. Opening success drops from 56% on T to 41% on CT — first contacts on the defending side are being lost.

Reaction time. 629ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 63% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim3.4
Positioning5.6
Utility6.1
Mechanics2.8
Opening Duels4.6
Win Impact7.2

Composite 4.4/10 (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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time633ms−58ms
first ⅓ avg 692ms → last ⅓ avg 633ms
Headshot accuracy15.2%+2.3%
first ⅓ avg 12.9% → last ⅓ avg 15.2%

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

0.10Best match rating · 13–3 · cache, 1 Oct →
28%Best headshot accuracy · 13–4 · dust2, 22 Aug →
469msFastest reaction time · 13–1 · dust2, 22 Aug →
13–0Biggest win · inferno, 18 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 67% over 15cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA3219–1359%-0.02
dust2A2011–955%-0.02
ancientS1510–567%-0.02
mirageB115–645%-0.02
anubisC73–443%-0.00
cacheD72–529%-0.01
nukeS64–267%-0.03
overpass—21–150%-0.05

Across the last 100 tracked matches.

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
30.9%Accuracy (enemy spotted)
32.4%Spray accuracy
62.8%Counter-strafing
11.2°Preaim
629msReaction time
56.1%T opening success
40.7%CT opening success
0.55Enemies flashed / flash
4.6%Flash assists
11.48HE damage / grenade
6.39Flashes / 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 14.9548% — below the 15% mark we flag

    Aim Training →
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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage13–100.0115%1 Nov →
mirage0–13-0.0621%1 Nov →
anubis11–13-0.0210%1 Nov →
inferno13–11-0.0323%1 Nov →
inferno13–10-0.088%29 Oct →
nuke13–11-0.0423%29 Oct →
ancient13–6-0.079%29 Oct →
ancient13–40.0527%29 Oct →
anubis11–13-0.0221%28 Oct →
inferno13–6-0.0513%28 Oct →
inferno13–6-0.0113%24 Oct →
ancient16–12-0.018%24 Oct →
dust213–80.006%24 Oct →
cache6–13-0.0613%23 Oct →
cache10–13-0.0916%23 Oct →
ancient13–50.0922%23 Oct →
mirage10–13-0.0114%22 Oct →
inferno16–12-0.0316%22 Oct →
dust211–130.0118%22 Oct →
ancient7–13-0.0017%22 Oct →
inferno7–130.0318%19 Oct →
dust213–110.019%19 Oct →
inferno13–00.0524%18 Oct →
inferno11–13-0.0216%18 Oct →
inferno13–7-0.0117%17 Oct →
dust27–130.0119%17 Oct →
inferno10–13-0.053%6 Oct →
ancient8–13-0.0211%6 Oct →
dust213–11-0.0519%2 Oct →
nuke13–9-0.0012%1 Oct →
cache13–30.1024%1 Oct →
mirage16–13-0.0413%30 Sept →
cache13–50.066%30 Sept →
dust211–13-0.0010%24 Sept →
cache11–130.046%24 Sept →
dust213–9-0.0215%23 Sept →
mirage4–130.0315%23 Sept →
dust29–13-0.0619%17 Sept →
ancient13–50.0411%14 Sept →
inferno8–13-0.068%13 Sept →
inferno9–13-0.055%13 Sept →
inferno13–40.059%13 Sept →
dust213–7-0.0311%13 Sept →
ancient13–11-0.049%13 Sept →
inferno9–40.0617%13 Sept →
inferno13–10.0018%11 Sept →
mirage4–13-0.0415%11 Sept →
cache8–13-0.0616%11 Sept →
ancient16–12-0.0111%10 Sept →
ancient13–9-0.0017%10 Sept →
ancient0–5-0.110%6 Sept →
inferno13–10-0.0614%6 Sept →
dust23–13-0.139%4 Sept →
inferno14–16-0.0518%30 Aug →
inferno8–13-0.0523%30 Aug →
dust213–60.015%30 Aug →
ancient13–11-0.077%30 Aug →
inferno13–4-0.0724%29 Aug →
mirage9–13-0.0111%29 Aug →
nuke9–13-0.029%29 Aug →
cache7–13-0.058%29 Aug →
inferno13–7-0.0310%29 Aug →
mirage13–6-0.0216%28 Aug →
dust213–5-0.0424%28 Aug →
inferno13–70.0621%23 Aug →
ancient12–12-0.0113%22 Aug →
anubis13–2-0.0317%22 Aug →
mirage13–10.0011%22 Aug →
inferno4–9-0.1015%22 Aug →
dust213–1-0.0112%22 Aug →
dust213–4-0.0128%22 Aug →
inferno11–13-0.0322%16 Aug →
inferno13–110.0214%16 Aug →
ancient6–13-0.0817%14 Aug →
inferno5–13-0.0217%14 Aug →
dust24–00.085%14 Aug →
dust26–13-0.0220%14 Aug →
dust28–13-0.028%14 Aug →
inferno13–60.0717%3 Jul →
overpass13–11-0.069%28 Jun →
ancient13–11-0.0616%28 Jun →
anubis5–130.0210%27 Jun →
inferno11–13-0.0416%27 Jun →
anubis13–100.0320%27 Jun →
nuke13–5-0.100%26 Jun →
overpass10–13-0.0410%26 Jun →
mirage6–130.0113%26 Jun →
mirage13–5-0.0523%19 Jun →
inferno13–7-0.0210%19 Jun →
anubis13–80.0112%19 Jun →
inferno4–13-0.0113%6 Jun →
inferno13–9-0.0111%6 Jun →
dust213–11-0.0216%6 Jun →
anubis11–13-0.008%5 Jun →
nuke15–15-0.014%5 Jun →
nuke13–50.0115%3 Jun →
dust27–13-0.0510%3 Jun →
dust27–13-0.059%31 May →
inferno13–3-0.024%31 May →
inferno15–15-0.0112%31 May →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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