PKL

PKL — CS2 Stats

PRO“biruleibe”Fake do BiruBrazilIGLSettings & gear profile →

76561198025578864[U:1:65313136]Steam profile ↗✓ No bans

1,389Tracked matches55%Win rate2020Tracked since
CSDB Rating7.6 StrongSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 24 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

+73Tracked matches · now 1,389
−18.2ppWin rate · 73.3% → 55.2%

Rating over time

33Days played since 2026-08-26

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

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CSDB.GGPKLFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim91
Positioning66
Utility83

0–100 skill scores via Leetify.

Recent form

STEADY62–37–1Last 10062%Win rateWWWLLLLLLW

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −3.9pp headshot accuracy · +34ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 430ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 450ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 433ms

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 (+2.9 against its own average).

Aim9.1
Utility8.3
Positioning6.6
Opening Duels3.6
Clutch3.0

Sharp aimerHigh utility contribution

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

ZywOo

Plays most like ZywOo 84% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 91 — the mechanical foundation is a clear strength.

Utility. Utility score of 83 — grenade impact well above the norm.

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

Aim9.1
Positioning6.6
Utility8.3
Mechanics8.3
Opening Duels3.4
Win Impact6.7

Composite 7.6/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time462ms−60ms
first ⅓ avg 522ms → last ⅓ avg 462ms
Headshot accuracy21.6%+1.8%
first ⅓ avg 19.9% → last ⅓ avg 21.6%

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 · 13–2 · nuke, 26 Aug →
40%Best headshot accuracy · 13–3 · ancient, 22 Sept →
297msFastest reaction time · 5–13 · inferno, 15 Oct →
13–0Biggest win · cache, 17 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W3Current streak
7–7In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 78% over 32infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
ancientS3225–778%-0.01
dust2A2113–862%-0.03
nukeS129–375%0.01
infernoD124–833%-0.02
cacheC125–742%-0.01
anubisB105–550%-0.01
mirage—11–0100%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

828Matches
63%Win rate
1.17Avg K/D
78.6ADR
53%Headshot %

Clutches & streaks

35%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage14671%1.1615.1
Dust27668%1.2615.3
Ancient5175%1.1814.2
Nuke4766%1.0714.6
Anubis4473%1.1916.2
Inferno2857%1.0312.0
Train1050%1.2013.3
Cache989%1.1814.0

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.

20.7%Headshot accuracy
40.2%Accuracy (enemy spotted)
41.2%Spray accuracy
87.3%Counter-strafing
10.0°Preaim
460msReaction time
38.1%T opening success
48.8%CT opening success
0.69Enemies flashed / flash
15.5%Flash assists
10.97HE damage / grenade
18.28Flashes / 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. 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 38.1394% — below the 40% mark we flag

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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–6-0.0113%30 Oct →
nuke13–2-0.0019%30 Oct →
ancient13–11-0.0220%29 Oct →
dust217–19-0.0814%29 Oct →
inferno11–13-0.0125%29 Oct →
dust218–22-0.0116%24 Oct →
cache8–13-0.0410%24 Oct →
ancient9–13-0.0119%23 Oct →
inferno11–13-0.0120%23 Oct →
dust213–8-0.0210%22 Oct →
anubis13–90.0327%22 Oct →
inferno9–130.0122%22 Oct →
dust213–10-0.0120%21 Oct →
inferno6–13-0.0315%21 Oct →
ancient13–6-0.0024%21 Oct →
cache9–13-0.0610%21 Oct →
inferno16–14-0.0220%21 Oct →
anubis8–13-0.0430%21 Oct →
dust210–13-0.0510%15 Oct →
inferno5–13-0.0329%15 Oct →
ancient13–30.0116%15 Oct →
ancient16–14-0.0418%13 Oct →
dust213–6-0.0331%13 Oct →
nuke13–8-0.0326%12 Oct →
cache2–20.0920%12 Oct →
ancient9–13-0.0333%12 Oct →
cache11–40.0424%12 Oct →
anubis13–40.0229%11 Oct →
ancient13–20.0638%11 Oct →
nuke13–8-0.0233%10 Oct →
ancient13–60.0721%10 Oct →
dust28–13-0.0123%10 Oct →
nuke13–110.0230%9 Oct →
ancient13–10-0.0615%9 Oct →
ancient25–28-0.0221%7 Oct →
inferno11–13-0.0214%7 Oct →
anubis13–40.0211%4 Oct →
nuke10–13-0.016%4 Oct →
ancient8–13-0.0317%4 Oct →
inferno13–4-0.017%4 Oct →
ancient13–60.0333%4 Oct →
ancient13–70.0021%3 Oct →
dust213–6-0.0415%3 Oct →
inferno19–160.0121%3 Oct →
ancient13–9-0.0129%3 Oct →
ancient7–13-0.0724%28 Sept →
anubis10–13-0.0517%28 Sept →
ancient13–9-0.0317%27 Sept →
inferno6–13-0.0722%27 Sept →
dust25–13-0.0716%27 Sept →
nuke13–80.0129%27 Sept →
ancient13–80.0016%27 Sept →
cache7–13-0.0224%27 Sept →
cache9–13-0.0525%26 Sept →
dust25–13-0.0914%26 Sept →
dust213–5-0.0328%25 Sept →
ancient13–10-0.0717%25 Sept →
dust213–5-0.0328%25 Sept →
ancient13–11-0.0322%25 Sept →
dust213–8-0.0421%25 Sept →
inferno6–13-0.0721%24 Sept →
cache12–16-0.0514%24 Sept →
dust213–8-0.028%23 Sept →
ancient13–70.0120%23 Sept →
cache13–80.0721%23 Sept →
ancient13–90.0133%23 Sept →
anubis10–13-0.0227%23 Sept →
dust213–70.0433%22 Sept →
ancient13–30.0840%22 Sept →
nuke5–13-0.0031%18 Sept →
ancient11–130.0118%18 Sept →
cache13–10-0.0127%18 Sept →
dust213–7-0.0420%18 Sept →
ancient13–100.0419%18 Sept →
ancient13–11-0.0324%17 Sept →
cache13–00.0830%17 Sept →
dust210–13-0.0427%10 Sept →
ancient13–100.0418%10 Sept →
nuke7–13-0.069%10 Sept →
anubis5–13-0.0122%9 Sept →
nuke13–20.0721%6 Sept →
ancient13–40.013%6 Sept →
dust213–1-0.0112%6 Sept →
ancient13–100.0113%6 Sept →
dust213–9-0.0318%6 Sept →
ancient16–14-0.0412%6 Sept →
anubis11–13-0.0610%1 Sept →
dust29–13-0.0217%1 Sept →
mirage13–80.0517%1 Sept →
dust216–120.0117%31 Aug →
anubis13–4-0.0219%30 Aug →
inferno13–6-0.0024%30 Aug →
anubis13–90.0224%28 Aug →
nuke13–70.0220%28 Aug →
nuke13–70.0117%27 Aug →
cache9–2-0.0610%26 Aug →
cache5–6-0.1129%26 Aug →
ancient13–10-0.0414%26 Aug →
nuke13–20.1016%26 Aug →
ancient15–19-0.0325%26 Aug →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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