p0et

p0et — CS2 Stats

SE76561198301286341[U:1:341020613]Steam profile ↗✓ No bans

4,096Tracked matches50%Win rate2021Tracked since
CSDB Rating4.8 DevelopingPositional Player
Premier CS Rating13,270Blue band · top ~37.6% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

−531Premier CS Rating · 13,801 → 13,270

Rating over time

Premier CS Rating: 13,270 +546 20 Jul – 20 Oct · 24 days played
12,72415,903peak 15,90320 Jul20 Oct
16,092Peak Premier in tracked matches
26Days played since 2026-07-10

Premier CS Rating

  • 2,633 below peak (15,903)
  • -1,219 over 30 days · declining
  • -899 over 90 days
  • Next: Purple band at 15,000 — 1,730 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-01
  • Light Blue band first seen 2026-09-01

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

Share this profile

CSDB.GGp0etFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER13,270 · Blue bandcsdb.gg/stats

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Performance scores

Aim50
Positioning58
Utility46

0–100 skill scores via Leetify.

Recent form

COLD50–47–3Last 10050%Win rateLWLTLWLLWL

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · −2.0pp headshot accuracy · −35ms reaction

Win rate down 40pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 569ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 566ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 583ms

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 (+0.9 against its own average).

Aim5.0
Utility4.6
Positioning5.8
Opening Duels4.2

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

jL

Plays most like jL 77% 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

Reaction time. 617ms 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

Aim5.0
Positioning5.8
Utility4.6
Mechanics4.7
Opening Duels5.0
Win Impact5.0

Composite 4.8/10 (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+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time610ms−27ms
first ⅓ avg 637ms → last ⅓ avg 610ms
Headshot accuracy17.0%+1.3%
first ⅓ avg 15.7% → last ⅓ avg 17.0%

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

0.14Best match rating · 13–7 · nuke, 23 Jul →
27%Best headshot accuracy · 13–16 · mirage, 20 Oct →
438msFastest reaction time · 9–1 · inferno, 10 Sept →
13–1Biggest win · mirage, 21 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–4In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 62% over 13infernoWeakest map · 45% over 29
MapGradePlayedRecordWin rateAvg rating
infernoB2913–1645%-0.00
nukeB179–853%-0.00
anubisA159–660%-0.00
mirageA138–562%-0.03
ancientB126–650%-0.00
cacheB115–645%-0.02
dust2—30–30%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (45% over 29). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

26Matches
42%Win rate
0.67Avg K/D
—ADR
49%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno333%0.518.7
Ancient333%0.5910.7
Vertigo367%0.7211.3
Anubis250%0.5511.0
Mirage10%0.477.0
Overpass10%0.408.0
Nuke1100%1.009.0
Dust210%0.203.0

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.

17.3%Headshot accuracy
30.1%Accuracy (enemy spotted)
31.2%Spray accuracy
71.1%Counter-strafing
9.1°Preaim
617msReaction time
47.0%T opening success
52.9%CT opening success
0.66Enemies flashed / flash
8.7%Flash assists
9.23HE damage / grenade
1.61Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.6059 — below the 4 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.

45% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–16-0.0327%20 Oct →
nuke13–70.0121%15 Oct →
dust26–13-0.087%10 Oct →
anubis15–15-0.078%25 Sept →
dust212–16-0.0712%25 Sept →
nuke13–11-0.059%24 Sept →
inferno10–13-0.0620%21 Sept →
inferno8–130.0120%21 Sept →
cache13–8-0.0320%21 Sept →
anubis10–13-0.0524%19 Sept →
nuke16–130.0122%19 Sept →
mirage13–80.0124%12 Sept →
inferno10–13-0.0419%12 Sept →
inferno11–13-0.0710%10 Sept →
anubis13–5-0.0119%10 Sept →
cache13–3-0.0818%10 Sept →
inferno13–60.0417%10 Sept →
inferno8–130.0025%10 Sept →
inferno9–10.1213%10 Sept →
mirage16–130.0019%10 Sept →
anubis13–100.0412%10 Sept →
nuke11–13-0.0126%10 Sept →
cache9–13-0.0610%10 Sept →
mirage9–13-0.0314%1 Sept →
ancient13–9-0.0622%1 Sept →
inferno13–50.049%26 Aug →
inferno15–150.0011%26 Aug →
ancient13–70.0218%26 Aug →
inferno13–100.0717%26 Aug →
anubis4–13-0.0514%23 Aug →
inferno8–13-0.0225%23 Aug →
inferno13–90.0115%22 Aug →
ancient13–70.0115%22 Aug →
nuke6–13-0.0221%22 Aug →
ancient13–70.0416%21 Aug →
inferno9–13-0.0223%21 Aug →
mirage8–13-0.1013%21 Aug →
anubis13–70.1320%21 Aug →
dust29–13-0.0119%21 Aug →
ancient10–13-0.069%14 Aug →
inferno10–13-0.0416%13 Aug →
nuke3–13-0.0321%13 Aug →
inferno13–10-0.059%13 Aug →
mirage16–13-0.0314%8 Aug →
inferno16–12-0.0114%7 Aug →
anubis13–20.0913%7 Aug →
nuke8–130.0414%7 Aug →
anubis6–13-0.047%7 Aug →
ancient8–13-0.0311%7 Aug →
inferno3–13-0.058%7 Aug →
ancient11–13-0.066%2 Aug →
cache13–90.0219%2 Aug →
cache13–100.0516%31 Jul →
inferno13–60.027%23 Jul →
nuke13–9-0.0113%23 Jul →
nuke13–11-0.0613%23 Jul →
mirage9–130.0213%23 Jul →
ancient8–130.0515%23 Jul →
anubis13–9-0.0315%23 Jul →
nuke13–70.1421%23 Jul →
anubis13–80.0414%23 Jul →
ancient10–130.0811%23 Jul →
nuke7–130.0112%23 Jul →
inferno8–130.0120%22 Jul →
anubis13–40.0012%22 Jul →
inferno13–60.0527%22 Jul →
anubis13–40.0720%22 Jul →
mirage8–13-0.0413%22 Jul →
cache8–13-0.0117%22 Jul →
inferno9–130.0119%21 Jul →
cache10–13-0.058%21 Jul →
nuke13–6-0.0313%21 Jul →
mirage13–80.009%21 Jul →
inferno13–20.0419%21 Jul →
mirage13–6-0.0116%21 Jul →
anubis7–13-0.0917%21 Jul →
mirage13–1-0.0114%21 Jul →
anubis13–9-0.0612%21 Jul →
inferno6–13-0.0214%21 Jul →
cache10–13-0.0310%21 Jul →
nuke13–16-0.0112%20 Jul →
ancient9–130.0014%20 Jul →
nuke8–13-0.0623%20 Jul →
anubis10–13-0.0220%20 Jul →
inferno13–40.0215%20 Jul →
nuke13–60.0821%20 Jul →
mirage16–14-0.0514%20 Jul →
inferno6–13-0.0517%20 Jul →
inferno13–60.0222%20 Jul →
inferno13–110.0223%20 Jul →
cache15–15-0.0215%11 Jul →
ancient16–12-0.0620%11 Jul →
mirage13–11-0.0723%11 Jul →
nuke9–13-0.0212%11 Jul →
cache6–13-0.0213%11 Jul →
inferno11–13-0.0416%11 Jul →
ancient13–80.0319%10 Jul →
inferno8–13-0.0613%10 Jul →
cache13–40.0214%10 Jul →
nuke13–9-0.0110%10 Jul →

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 →

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