j

j — CS2 Stats

76561198340313262[U:1:380047534]Steam profile ↗✓ No bans

71Tracked matches70%Win rate2022Tracked since
CSDB Rating5.7 SolidSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 18,310 +7,645 8 Apr – 25 Dec · 12 days played
10,66518,783peak 18,7838 Apr25 Dec
19,266Peak Premier in tracked matches
22Days played since 2022-04-01

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

Performance scores

Aim50
Positioning55
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY48–23Last 7168%Win rateWWWWLWLLWW

Last 10 vs previous 10: −10pp win rate · −0.03 avg rating · −5.4pp headshot accuracy · +9ms reaction

Win rate −10pp 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

  • 4–1 · 80% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 18%
  • Avg reaction 675ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 670ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 21%
  • Avg reaction 666ms

Newest first, from the last 71 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 (+0.8 against its own average).

Aim5.0
Utility6.3
Positioning5.5
Opening Duels4.6

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 71% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 657ms 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
Positioning5.5
Utility6.3
Mechanics5.4
Opening Duels3.5
Win Impact10.0

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+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time663ms+27ms
first ⅓ avg 635ms → last ⅓ avg 663ms
Headshot accuracy20.4%+1.7%
first ⅓ avg 18.7% → last ⅓ avg 20.4%

Rolling 5-match average across the last 71 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.14Best match rating · 13–5 · dust2, 17 Dec →
48%Best headshot accuracy · 13–10 · ancient, 17 Dec →
344msFastest reaction time · 0–7 · ancient, 28 Mar →
16–2Biggest win · dust2, 1 Apr →

Across the last 71 tracked matches.

Highlights

6Longest win streak
W4Current streak
5–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

mirageBest map · 88% over 26infernoWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
mirageS2623–388%0.02
dust2A1912–763%0.03
ancientC94–544%0.04
nukeA53–260%0.02
infernoC52–340%0.01
train—43–175%0.01
anubis—21–150%-0.03
overpass—10–10%-0.03

Across the last 71 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (40% over 5). 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.

19.8%Headshot accuracy
32.8%Accuracy (enemy spotted)
34.0%Spray accuracy
74.3%Counter-strafing
11.7°Preaim
657msReaction time
38.1%T opening success
50.0%CT opening success
0.57Enemies flashed / flash
9.2%Flash assists
8.59HE damage / grenade
15.38Flashes / 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 38.1447% — 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.

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust216–130.0518%22 Jun →
dust213–30.1218%22 Jun →
mirage13–60.0619%25 Dec →
mirage13–8-0.0121%25 Dec →
dust20–13-0.0812%25 Dec →
nuke13–11-0.0120%23 Dec →
dust28–13-0.0617%23 Dec →
dust20–13-0.0615%23 Dec →
dust213–30.0427%23 Dec →
inferno13–50.0821%23 Dec →
mirage16–130.0918%23 Dec →
dust213–80.0927%23 Dec →
overpass6–13-0.0313%23 Dec →
dust25–130.0411%17 Dec →
mirage13–3-0.0218%17 Dec →
dust213–6-0.0121%17 Dec →
dust213–50.1429%17 Dec →
ancient13–10-0.0148%17 Dec →
mirage2–00.0433%17 Dec →
ancient13–50.0722%17 Dec →
dust29–130.0212%17 Dec →
mirage4–13-0.0714%11 Dec →
mirage13–30.0515%11 Dec →
mirage13–60.1122%10 Dec →
nuke4–130.0115%19 Nov →
ancient9–130.0315%19 Nov →
dust213–90.0723%19 Nov →
nuke13–6-0.039%19 Nov →
mirage13–30.0917%19 Nov →
ancient13–110.0523%26 Oct →
ancient8–130.0124%26 Oct →
dust211–13-0.0713%26 Oct →
ancient11–130.0123%6 Sept →
dust213–80.0018%6 Sept →
dust211–130.0321%6 Sept →
train13–110.0121%31 Aug →
mirage13–3-0.017%31 Aug →
train13–7-0.0221%31 Aug →
inferno10–13-0.0026%25 Jul →
mirage13–60.0817%25 Jul →
mirage13–50.0111%25 Jul →
mirage4–13-0.0147%25 Jul →
mirage13–90.0016%24 May →
inferno10–13-0.0522%24 May →
mirage13–100.1219%20 May →
mirage13–60.0310%20 May →
mirage13–8-0.049%20 May →
ancient13–70.1118%20 May →
anubis13–8-0.0215%20 May →
mirage12–70.0112%15 May →
inferno7–13-0.0014%15 May →
train13–80.0413%13 May →
mirage13–90.0412%13 May →
nuke9–130.0725%28 Apr →
inferno13–60.0112%28 Apr →
mirage13–40.0021%8 Apr →
dust213–30.0510%8 Apr →
mirage13–3-0.0424%28 Mar →
dust213–70.0521%28 Mar →
ancient0–7-0.0027%28 Mar →
mirage7–13-0.0418%28 Mar →
anubis14–16-0.0419%27 Mar →
mirage13–110.0422%27 Mar →
mirage12–60.0011%27 Mar →
ancient9–130.1119%27 Mar →
dust213–30.0319%27 Mar →
mirage13–50.0431%23 Mar →
nuke13–90.0531%23 Mar →
mirage13–60.0028%23 Mar →
train7–13-0.0117%1 Dec →
dust216–20.0413%1 Apr →

Match data via Leetify.

Recent teammates

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

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