JJ-Y

JJ-Y — CS2 Stats

US76561199856565983[U:1:1896300255]Steam profile ↗✓ No bans

43Tracked matches56%Win rate2026Tracked since
CSDB Rating3.1 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim33
Positioning37
Utility17

0–100 skill scores via Leetify.

Recent form

STEADY21–18–4Last 4349%Win rateLWLLLWWTWL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +0.5pp headshot accuracy · −78ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.09
  • Avg headshot accuracy 15%
  • Avg reaction 542ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 565ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 14%
  • Avg reaction 604ms

Newest first, from the last 43 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).

Aim3.3
Utility1.7
Positioning3.7
Opening Duels0.0

Limited utility dependence

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 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 628ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim3.3
Positioning3.7
Utility1.7
Mechanics2.7
Opening Duels0.0
Win Impact6.9

Composite 3.1/10 (Learning), 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-0.06−0.03
first ⅓ avg -0.04 → last ⅓ avg -0.06
Reaction time589ms−23ms
first ⅓ avg 612ms → last ⅓ avg 589ms
Headshot accuracy13.0%+0.7%
first ⅓ avg 12.3% → last ⅓ avg 13.0%

Rolling 5-match average across the last 43 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.04Best match rating · 13–6 · dust2, 23 Aug →
31%Best headshot accuracy · 11–13 · mirage, 19 Sept →
422msFastest reaction time · 8–1 · cache, 22 Aug →
13–1Biggest win · mirage, 18 Aug →

Across the last 43 tracked matches.

Highlights

5Longest win streak
1–5In matches decided by ≤2 rounds

Map breakdown

nukeBest map · 83% over 6mirageWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C135–838%-0.03
mirageC114–736%-0.05
cacheC94–544%-0.07
nukeS65–183%-0.05
anubis—32–167%-0.08
train—11–0100%-0.03

Across the last 43 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 11). Start with the 5 essential Mirage 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.

14.4%Headshot accuracy
27.7%Accuracy (enemy spotted)
27.9%Spray accuracy
62.0%Counter-strafing
8.7°Preaim
628msReaction time
29.4%T opening success
23.3%CT opening success
0.34Enemies flashed / flash
1.2%Flash assists
8.00HE damage / grenade
1.82Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.4147% — below the 15% mark we flag

    Aim Training →
  2. 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 0.3415 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 29.4471% — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache6–13-0.1111%19 Sept →
anubis13–6-0.0513%19 Sept →
dust26–13-0.076%19 Sept →
mirage11–13-0.0531%19 Sept →
cache2–13-0.1513%19 Sept →
dust213–4-0.0313%19 Sept →
mirage13–80.0315%13 Sept →
dust212–12-0.0413%13 Sept →
nuke13–5-0.0314%13 Sept →
mirage5–13-0.0912%12 Sept →
mirage13–3-0.0811%12 Sept →
dust213–8-0.0912%12 Sept →
anubis13–10-0.092%12 Sept →
cache13–5-0.0418%12 Sept →
nuke13–8-0.147%9 Sept →
cache8–13-0.0611%9 Sept →
dust29–130.0217%9 Sept →
dust212–12-0.019%8 Sept →
dust213–8-0.0329%8 Sept →
cache13–7-0.0419%7 Sept →
mirage9–13-0.1118%6 Sept →
mirage13–8-0.0318%6 Sept →
dust29–13-0.0611%4 Sept →
nuke13–2-0.0722%4 Sept →
mirage12–12-0.0422%30 Aug →
cache5–13-0.0513%30 Aug →
nuke11–13-0.0619%30 Aug →
dust26–13-0.083%24 Aug →
nuke13–11-0.0317%23 Aug →
dust213–60.0411%23 Aug →
anubis9–13-0.0913%23 Aug →
dust211–13-0.068%23 Aug →
dust213–2-0.017%23 Aug →
mirage7–13-0.0810%22 Aug →
nuke13–60.0215%22 Aug →
cache11–13-0.0612%22 Aug →
mirage12–12-0.093%22 Aug →
dust211–13-0.027%22 Aug →
cache8–1-0.0925%22 Aug →
cache13–3-0.015%21 Aug →
train13–7-0.0313%18 Aug →
mirage13–1-0.0322%18 Aug →
mirage4–130.0322%17 Aug →

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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