p3stLi

p3stLi — CS2 Stats

76561198980391245[U:1:1020125517]Steam profile ↗✓ No bans

5,620Tracked matches60%Win rate2021Tracked since
CSDB Rating5.7 SolidPositional Player
Premier CS Rating13,502Blue band · top ~36.3% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−378Premier CS Rating · 13,880 → 13,502

Rating over time

Premier CS Rating: 13,502 +1,852 30 Aug – 29 Oct · 28 days played
10,31013,880peak 13,88030 Aug29 Oct
14,037Peak Premier in tracked matches
22Days played since 2026-08-30

Premier CS Rating

  • 378 below peak (13,880)
  • +2,839 over 30 days · improving
  • Next: Purple band at 15,000 — 1,498 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-08-30
  • Light Blue band first seen 2026-08-30

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

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CSDB.GGp3stLiPREMIER13,502 · Blue bandcsdb.gg/stats

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Performance scores

Aim79
Positioning48
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY57–42–1Last 10057%Win rateLWLLWWWLLW

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · −2.1pp headshot accuracy · −30ms reaction

Win rate down 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 570ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 545ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 560ms

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 (+1.9 against its own average).

Aim7.9
Utility3.7
Positioning4.8
Opening Duels1.5
Clutch1.4

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

b1t

Plays most like b1t 95% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.9
Positioning4.8
Utility3.7
Mechanics7.0
Opening Duels2.3
Win Impact8.3

Composite 5.7/10 (Solid), 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 rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time551ms+6ms
first ⅓ avg 545ms → last ⅓ avg 551ms
Headshot accuracy21.8%+0.3%
first ⅓ avg 21.5% → last ⅓ avg 21.8%

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

0.12Best match rating · 13–2 · nuke, 9 Oct →
50%Best headshot accuracy · 5–8 · rush_001, 30 Sept →
391msFastest reaction time · 13–0 · cache, 13 Oct →
13–0Biggest win · cache, 13 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

anubisBest map · 80% over 10mirageWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
nukeS2315–865%0.01
mirageD165–1131%0.01
dust2B157–847%-0.00
infernoA159–660%0.00
anubisS108–280%0.01
ancientS108–280%0.02
cacheB105–550%-0.02
rush_001—10–10%-0.15

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (31% over 16). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

82Matches
38%Win rate
0.85Avg K/D
66.0ADR
51%Headshot %

Clutches & streaks

27%1v1 clutch win
17%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis1759%1.1013.8
Ancient1540%0.7911.3
Nuke1436%0.7112.4
Inferno1020%0.9913.8
Dust2911%0.7312.6
Mirage933%0.579.2
Vertigo650%1.0013.7
Overpass10%0.6712.0

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.

21.1%Headshot accuracy
34.9%Accuracy (enemy spotted)
35.7%Spray accuracy
81.5%Counter-strafing
9.0°Preaim
545msReaction time
36.7%T opening success
42.0%CT opening success
0.40Enemies flashed / flash
3.9%Flash assists
8.23HE damage / grenade
6.88Flashes / 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 0.4016 — 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 36.6819% — below the 40% mark we flag

Spend your practice time on Mirage

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage11–130.0118%29 Oct →
anubis13–10-0.0511%28 Oct →
ancient9–130.0131%28 Oct →
dust24–13-0.0123%28 Oct →
dust213–100.0430%28 Oct →
ancient16–140.0228%28 Oct →
inferno13–90.0319%28 Oct →
anubis6–13-0.069%28 Oct →
mirage7–13-0.0510%27 Oct →
dust213–10-0.0018%26 Oct →
dust213–60.0611%26 Oct →
inferno13–2-0.0614%26 Oct →
mirage13–80.0224%26 Oct →
mirage13–50.0929%25 Oct →
dust213–8-0.0317%25 Oct →
dust23–13-0.0733%25 Oct →
anubis13–1-0.0225%25 Oct →
inferno5–130.0123%25 Oct →
cache16–130.0129%25 Oct →
nuke16–120.0613%25 Oct →
mirage14–16-0.0113%25 Oct →
anubis13–110.0219%24 Oct →
inferno13–110.0422%24 Oct →
ancient6–13-0.0332%24 Oct →
nuke16–140.0117%24 Oct →
ancient13–100.0025%23 Oct →
nuke7–130.0419%23 Oct →
nuke13–110.0923%23 Oct →
nuke5–13-0.0129%23 Oct →
dust210–130.0123%23 Oct →
mirage8–130.0730%23 Oct →
cache5–13-0.0928%23 Oct →
inferno7–130.0423%23 Oct →
nuke5–13-0.0728%23 Oct →
anubis13–90.0310%22 Oct →
cache3–13-0.0922%22 Oct →
inferno9–13-0.0524%22 Oct →
dust213–90.0726%22 Oct →
nuke13–100.0124%20 Oct →
ancient13–70.0534%20 Oct →
mirage10–13-0.0230%19 Oct →
inferno13–10-0.0511%16 Oct →
ancient13–100.0133%16 Oct →
mirage16–130.0120%16 Oct →
ancient13–90.1022%16 Oct →
nuke4–9-0.0610%16 Oct →
ancient13–90.0831%13 Oct →
cache13–0-0.0218%13 Oct →
dust213–8-0.0119%13 Oct →
nuke8–13-0.0228%13 Oct →
nuke11–0-0.0017%13 Oct →
anubis13–50.0211%12 Oct →
cache13–60.0725%12 Oct →
inferno13–3-0.0312%12 Oct →
mirage11–130.0616%12 Oct →
mirage6–130.0124%12 Oct →
mirage13–4-0.0233%12 Oct →
inferno8–8-0.0323%12 Oct →
mirage13–40.0628%12 Oct →
inferno8–130.0419%12 Oct →
anubis13–70.0620%12 Oct →
cache13–11-0.0429%11 Oct →
nuke10–13-0.0322%11 Oct →
nuke9–13-0.0332%11 Oct →
dust28–130.0030%9 Oct →
nuke13–30.0116%9 Oct →
nuke13–20.1218%9 Oct →
nuke13–7-0.0322%9 Oct →
nuke13–8-0.0514%9 Oct →
cache13–10-0.0120%9 Oct →
mirage11–130.0116%7 Oct →
ancient16–13-0.0020%7 Oct →
nuke13–20.0326%7 Oct →
nuke13–40.0430%7 Oct →
nuke13–00.0522%7 Oct →
dust22–130.0121%7 Oct →
mirage9–130.0621%7 Oct →
mirage3–13-0.0218%7 Oct →
dust27–13-0.0325%7 Oct →
dust27–13-0.0620%7 Oct →
anubis13–90.0423%7 Oct →
inferno11–130.0026%6 Oct →
dust24–13-0.0429%6 Oct →
cache11–130.0118%6 Oct →
cache6–13-0.0417%5 Oct →
inferno13–8-0.0026%5 Oct →
mirage2–13-0.059%4 Oct →
cache4–13-0.0312%3 Oct →
anubis13–110.0420%3 Oct →
nuke13–110.0419%3 Oct →
nuke8–130.0322%3 Oct →
anubis8–130.0119%3 Oct →
ancient13–4-0.0023%2 Oct →
nuke13–40.1019%2 Oct →
inferno13–90.0119%2 Oct →
dust216–140.0225%2 Oct →
inferno13–90.1121%2 Oct →
inferno16–130.0118%2 Oct →
rush_0015–8-0.1550%30 Sept →
nuke13–6-0.0021%30 Sept →

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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