PKL

PKL — CS2 Stats

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76561198025578864[U:1:65313136]Steam profile ↗

1,279Tracked matches60%Win rate2020Tracked since
CSDB Rating7.3 StrongSupport
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

1Days observed since 2026-08-28

CSDB's own observations — this history 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

Aim90
Positioning52
Utility77

0–100 skill scores via Leetify.

Recent form

STEADY57421Last 10057%Win rateWWLWWLWLLW

Last 10 vs previous 10: -10pp win rate · -0.02 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim9.0
Aggression3.8
Utility7.7
Positioning5.2
Opening Duels1.6
Clutch3.6

Sharp aimerStrong CT-side openerHigh 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.

Your pro match

NiKo

Plays most like NiKo 94% playstyle similarity

Most alike: opening-fight frequency, 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

Strengths

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.1° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 37 points — deaths here waste a strong aim profile.

T-side openings. Opening success drops from 54% on CT to 18% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.0
Positioning5.2
Utility7.7
Mechanics8.3
Opening Duels3.1
Win Impact8.3

Composite 7.3/10 (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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time493ms−85ms
first ⅓ avg 577ms → last ⅓ avg 493ms
Headshot accuracy19.7%−2.2%
first ⅓ avg 21.9% → last ⅓ avg 19.7%

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.

Highlights

0.10Best rating — nuke 13–2
131Biggest win — dust2
6Longest win streak
W2Current streak
36In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 89% over 9infernoWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2A30181260%-0.01
nukeS1812667%0.00
mirageB168850%-0.02
anubisC114736%-0.02
ancientS98189%-0.02
infernoD93633%-0.03
cache42250%-0.04
overpass32167%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

769Matches
63%Win rate
1.17Avg K/D
79.8ADR
53%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage13671%1.1415.0
Dust26169%1.2815.6
Nuke3959%1.0314.3
Anubis3974%1.2416.9
Ancient3876%1.2514.7
Inferno2462%1.1112.7
Train1050%1.2013.3
Vertigo650%0.8511.3

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
40.1%Accuracy (enemy spotted)
40.8%Spray accuracy
87.4%Counter-strafing
10.1°Preaim
498msReaction time
18.2%T opening success
54.4%CT opening success
0.69Enemies flashed / flash
11.8%Flash assists
9.92HE damage / grenade
18.77Flashes / 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 18.1931% — 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 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
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
anubis13–7-0.0217%26 Aug
dust27–13-0.0713%15 Aug
anubis7–13-0.0123%15 Aug
ancient13–11-0.0221%15 Aug
ancient13–70.0020%14 Aug
dust213–10.0328%14 Aug
ancient13–7-0.0316%11 Aug
mirage11–130.0820%10 Aug
dust213–10-0.0435%10 Aug
ancient13–8-0.0124%10 Aug
anubis10–13-0.0332%8 Aug
inferno8–13-0.0412%8 Aug
nuke16–13-0.0314%8 Aug
mirage13–5-0.0015%7 Aug
ancient13–80.0117%7 Aug
anubis13–8-0.0326%7 Aug
nuke0–00.000%4 Aug
ancient13–3-0.0413%4 Aug
dust211–13-0.0021%4 Aug
nuke13–5-0.0513%4 Aug
dust211–130.0519%31 Jul
cache19–22-0.0027%31 Jul
ancient16–120.0224%31 Jul
inferno5–13-0.0738%29 Jul
dust27–13-0.0126%29 Jul
inferno9–13-0.0216%11 Jul
nuke13–16-0.0613%11 Jul
cache13–10-0.0119%10 Jul
nuke13–100.0317%10 Jul
nuke17–19-0.0228%9 Jul
mirage6–13-0.0229%9 Jul
nuke4–13-0.0224%9 Jul
inferno8–13-0.0738%9 Jul
anubis9–13-0.0824%8 Jul
nuke13–80.0231%8 Jul
dust213–50.0023%8 Jul
inferno13–70.0111%6 Jul
anubis13–20.0518%6 Jul
dust210–13-0.0424%6 Jul
dust26–13-0.0724%27 Jun
inferno10–13-0.0431%27 Jun
nuke13–40.0118%23 May
mirage10–13-0.0318%22 May
anubis10–13-0.0320%22 May
overpass16–130.0016%22 May
dust213–4-0.039%22 May
anubis6–13-0.0514%22 May
overpass13–10-0.0523%22 May
nuke13–50.0321%15 May
dust213–3-0.0427%15 May
mirage13–6-0.0426%14 May
dust213–100.0129%14 May
mirage13–60.0410%9 May
overpass10–13-0.0214%9 May
dust26–13-0.0246%8 May
mirage8–13-0.0719%8 May
dust213–4-0.0318%7 May
inferno13–10-0.0511%7 May
dust28–13-0.0338%1 May
mirage6–13-0.0817%30 Apr
dust22–13-0.0410%30 Apr
nuke13–90.0417%30 Apr
mirage13–16-0.0716%29 Apr
dust211–130.0022%29 Apr
dust213–50.0634%28 Apr
anubis13–90.0238%27 Apr
inferno8–13-0.0413%27 Apr
dust213–7-0.0510%27 Apr
dust213–10-0.0028%26 Apr
nuke13–11-0.0015%26 Apr
dust213–60.0321%25 Apr
dust213–40.0313%24 Apr
mirage8–13-0.0524%24 Apr
mirage13–40.0823%20 Apr
dust213–9-0.0124%20 Apr
nuke5–13-0.0817%9 Apr
dust27–130.0020%9 Apr
nuke9–130.0023%9 Apr
mirage13–7-0.0222%9 Apr
dust213–80.0421%9 Apr
nuke13–60.0526%8 Apr
dust213–30.0137%8 Apr
anubis9–13-0.0214%8 Apr
mirage13–5-0.0719%8 Apr
dust213–10.0431%8 Apr
mirage13–6-0.0524%7 Apr
dust216–140.0329%7 Apr
inferno13–90.0517%6 Apr
mirage13–90.0043%6 Apr
dust26–13-0.0619%6 Apr
nuke13–80.039%3 Apr
dust213–80.0318%3 Apr
mirage10–13-0.0422%3 Apr
anubis8–13-0.0414%3 Apr

Match data via Leetify.

Recent teammates

Milestones

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