Listen to PJX on Spotify! — CS2 Stats

76561199869632281[U:1:1909366553]✓ No bans

240Tracked matches48%Win rate2025Tracked since
CSDB Rating5.7 SolidAggressive Rifler
Premier CS Rating17,106Purple band · top ~20% of ranked players (population est.)
CSDB Leaderboard#10147 of 17675 tracked
Ladder ranks via Leetify

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CSDB.GGListen to PJX on Spotify!PREMIER17,106 · Purple bandcsdb.gg/stats

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Performance scores

Aim74
Positioning62
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY43525Last 10043%Win rateWLLWLLLLWW

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.4
Aggression9.0
Utility7.0
Positioning6.2
Opening Duels4.1

Strong CT-side opener

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

jL

Plays most like jL 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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

T-side openings. Opening success drops from 54% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 61% 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

Aim7.4
Positioning6.2
Utility7.0
Mechanics2.4
Opening Duels4.1
Win Impact4.4

Composite 5.7/10 (Solid), 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 rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time492ms−47ms
first ⅓ avg 538ms → last ⅓ avg 492ms
Headshot accuracy17.5%−2.0%
first ⅓ avg 19.5% → last ⅓ avg 17.5%

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

0.14Best rating — dust2 13–4
130Biggest win — ancient
6Longest win streak
511In matches decided by ≤2 rounds
7Overtime games

Map breakdown

mirageBest map · 50% over 24infernoWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C32141844%-0.01
mirageB24121250%0.01
infernoD113827%-0.02
ancientD103730%0.00
cacheB63350%0.00
vertigoB63350%0.02
anubis42250%0.06
nuke32167%0.06
overpass31233%0.01
train1010%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.6%Headshot accuracy
38.5%Accuracy (enemy spotted)
41.1%Spray accuracy
61.0%Counter-strafing
10.0°Preaim
474msReaction time
38.5%T opening success
54.0%CT opening success
0.65Enemies flashed / flash
5.7%Flash assists
14.24HE damage / grenade
14.47Flashes / 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 38.5298% — 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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–50.1019%25 Aug
anubis14–160.0721%24 Aug
ancient8–13-0.0217%24 Aug
anubis13–80.0510%24 Aug
mirage10–130.0013%22 Aug
ancient10–130.034%22 Aug
anubis11–130.0721%19 Aug
mirage1–130.0414%19 Aug
dust213–40.1417%19 Aug
mirage13–110.0118%18 Aug
mirage10–130.0213%17 Aug
mirage13–80.0120%17 Aug
dust22–13-0.0324%17 Aug
dust27–13-0.0521%17 Aug
cache10–13-0.0124%17 Aug
dust214–160.0027%17 Aug
inferno13–20.0314%17 Aug
dust211–130.0713%17 Aug
mirage13–60.0218%17 Aug
vertigo12–12-0.056%16 Aug
mirage13–110.0410%16 Aug
mirage13–60.0536%16 Aug
anubis16–130.0517%13 Aug
ancient9–130.0412%13 Aug
dust213–110.0647%13 Aug
mirage10–130.0126%13 Aug
dust213–6-0.010%12 Aug
cache2–13-0.055%12 Aug
mirage13–8-0.0614%12 Aug
cache13–70.0319%12 Aug
mirage4–13-0.0432%11 Aug
vertigo0–20.010%10 Aug
cache13–10.0727%10 Aug
dust213–50.0425%10 Aug
dust213–11-0.0023%9 Aug
cache13–8-0.0432%9 Aug
mirage13–7-0.0411%9 Aug
ancient13–40.0724%9 Aug
dust26–130.0621%3 Aug
mirage13–80.1417%1 Aug
mirage13–60.0042%31 Jul
dust24–130.0432%31 Jul
dust213–80.0626%2 Jul
inferno11–130.0315%2 Jul
dust28–13-0.0517%1 Jul
mirage6–13-0.0525%30 Jun
nuke13–50.0719%28 Jun
dust212–12-0.0614%28 Jun
inferno2–9-0.0511%28 Jun
inferno2–9-0.060%25 Jun
overpass0–13-0.0650%25 Jun
ancient13–00.000%25 Jun
dust25–00.000%25 Jun
inferno8–13-0.0919%24 Jun
dust22–130.0111%23 Jun
ancient10–13-0.0021%23 Jun
inferno15–15-0.0122%23 Jun
dust28–13-0.009%23 Jun
dust29–13-0.045%18 Jun
mirage11–130.0319%16 Jun
dust213–10-0.0213%15 Jun
ancient6–7-0.0214%15 Jun
dust213–90.0012%13 Jun
ancient9–13-0.0419%13 Jun
dust213–8-0.0314%13 Jun
dust213–8-0.046%13 Jun
dust21–13-0.0725%9 Jun
mirage15–15-0.0715%9 Jun
dust213–8-0.1220%9 Jun
mirage10–13-0.0118%9 Jun
dust21–13-0.0718%9 Jun
mirage1–13-0.130%9 Jun
mirage4–13-0.0525%9 Jun
inferno13–50.0414%9 Jun
dust27–130.0212%9 Jun
vertigo9–130.0713%8 Jun
dust211–13-0.0838%8 Jun
vertigo13–90.069%5 Jun
vertigo9–60.0718%5 Jun
nuke3–13-0.0318%3 Jun
train11–130.0419%3 Jun
ancient2–13-0.0158%25 May
vertigo13–11-0.0415%25 May
cache8–130.0227%25 May
dust213–9-0.0213%21 May
nuke13–70.138%21 May
inferno15–150.0314%21 May
ancient13–3-0.0018%20 May
dust213–80.0523%20 May
mirage13–40.0921%20 May
dust214–160.0534%20 May
inferno1–13-0.0730%20 May
mirage13–100.1212%19 May
inferno10–13-0.0412%19 May
overpass13–60.0718%19 May
overpass8–130.0316%19 May
dust27–13-0.0423%14 May
inferno13–90.0018%14 May
mirage3–13-0.078%14 May
dust23–13-0.0738%12 May

Match data via Leetify.

Recent teammates

Milestones

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