J

J — CS2 Stats

GB76561198266852539[U:1:306586811]Steam profile ↗✓ No bans

2,618Tracked matches46%Win rate2021Tracked since
CSDB Rating5.4 DevelopingSupport
Premier CS Rating23,808Top 25% of 211,308 CSDB-tracked playersPink band · top ~4.3% of ranked players (population est.)
CSDB Leaderboard#34154 of 258348 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

+252Premier CS Rating · 23,556 → 23,808

Rating over time

Premier CS Rating: 23,808 -474 3 Sept – 29 Oct · 23 days played
22,30126,185peak 26,1853 Sept29 Oct
27,075Peak Premier in tracked matches
24Days played since 2026-09-03

Premier CS Rating

  • 2,377 below peak (26,185)
  • -2,377 over 30 days · declining
  • Next: Red band at 25,000 — 1,192 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

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

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CSDB.GGJPREMIER23,808 · Pink bandcsdb.gg/stats

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Performance scores

Aim65
Positioning45
Utility58

0–100 skill scores via Leetify.

Recent form

COLD49–47–4Last 10049%Win rateTWLLLTLLWW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −1.5pp headshot accuracy · −59ms reaction

Win rate down 20pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 20%
  • Avg reaction 583ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 548ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 577ms

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 (+1.8 against its own average).

Aim6.5
Utility5.8
Positioning4.5
Opening Duels1.7

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.

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: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

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. 571ms 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

Aim6.5
Positioning4.5
Utility5.8
Mechanics6.0
Opening Duels2.9
Win Impact3.8

Composite 5.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time572ms+8ms
first ⅓ avg 564ms → last ⅓ avg 572ms
Headshot accuracy16.0%−0.9%
first ⅓ avg 16.9% → last ⅓ avg 16.0%

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

0.09Best match rating · 5–13 · cache, 30 Sept →
44%Best headshot accuracy · 3–5 · dust2, 1 Oct →
375msFastest reaction time · 11–4 · ancient, 19 Sept →
13–0Biggest win · anubis, 18 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–3In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 67% over 9anubisWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
mirageB189–950%-0.01
dust2C188–1044%-0.02
cacheA1610–663%0.00
anubisD134–931%-0.03
ancientB105–550%-0.02
infernoC94–544%-0.02
nukeS96–367%0.00
train—42–250%0.01
overpass—21–150%-0.00
vertigo—10–10%0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Anubis 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.

15.5%Headshot accuracy
32.0%Accuracy (enemy spotted)
36.1%Spray accuracy
77.2%Counter-strafing
8.6°Preaim
571msReaction time
37.7%T opening success
45.7%CT opening success
0.59Enemies flashed / flash
4.6%Flash assists
10.01HE damage / grenade
5.40Flashes / 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 37.736% — below the 40% mark we flag

Spend your practice time on Anubis

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

31% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache15–150.0223%29 Oct →
mirage13–70.0120%29 Oct →
mirage1–13-0.0326%29 Oct →
dust210–130.0313%28 Oct →
mirage6–13-0.0317%28 Oct →
dust215–15-0.0813%23 Oct →
dust210–13-0.0410%23 Oct →
anubis6–13-0.0512%23 Oct →
anubis13–7-0.0322%23 Oct →
mirage13–6-0.050%22 Oct →
ancient13–80.0524%22 Oct →
inferno13–5-0.0516%21 Oct →
cache13–40.0214%21 Oct →
dust24–13-0.0411%19 Oct →
ancient6–13-0.0918%19 Oct →
anubis13–00.0218%18 Oct →
inferno6–13-0.0512%16 Oct →
anubis4–13-0.0813%16 Oct →
dust24–00.0130%16 Oct →
overpass4–130.0115%10 Oct →
train6–13-0.0014%10 Oct →
train5–13-0.0226%10 Oct →
train7–20.050%10 Oct →
inferno13–40.0014%9 Oct →
cache16–14-0.0010%9 Oct →
anubis9–130.0618%9 Oct →
ancient16–14-0.0516%8 Oct →
inferno5–13-0.0719%8 Oct →
cache7–13-0.018%8 Oct →
dust213–8-0.0720%8 Oct →
train13–8-0.0115%8 Oct →
inferno13–5-0.0211%7 Oct →
cache11–3-0.0231%7 Oct →
anubis12–16-0.0017%7 Oct →
ancient0–13-0.056%7 Oct →
mirage13–11-0.0511%7 Oct →
dust27–13-0.1016%7 Oct →
inferno6–13-0.0121%6 Oct →
mirage16–120.0314%6 Oct →
mirage8–13-0.058%5 Oct →
cache13–10-0.0123%5 Oct →
ancient13–5-0.0413%5 Oct →
dust28–130.0620%5 Oct →
nuke16–14-0.0620%3 Oct →
dust213–5-0.0128%3 Oct →
mirage6–13-0.0424%3 Oct →
mirage13–110.0617%3 Oct →
anubis1–13-0.080%3 Oct →
inferno10–130.0116%3 Oct →
nuke10–13-0.0316%3 Oct →
anubis6–13-0.0318%3 Oct →
dust213–50.0411%2 Oct →
anubis7–13-0.075%2 Oct →
dust213–9-0.0418%2 Oct →
cache9–13-0.0612%2 Oct →
cache13–90.0015%2 Oct →
cache16–13-0.0315%2 Oct →
cache7–00.0129%2 Oct →
nuke15–150.0117%2 Oct →
mirage3–13-0.107%2 Oct →
anubis1–13-0.0440%1 Oct →
ancient10–13-0.0017%1 Oct →
cache8–13-0.0223%1 Oct →
anubis7–1-0.0213%1 Oct →
dust24–13-0.0417%1 Oct →
mirage13–11-0.0225%1 Oct →
nuke13–10.0332%1 Oct →
dust23–5-0.0244%1 Oct →
mirage11–13-0.038%30 Sept →
dust21–13-0.0129%30 Sept →
cache5–130.0924%30 Sept →
nuke16–12-0.0218%30 Sept →
ancient8–13-0.0330%30 Sept →
cache11–130.0617%30 Sept →
mirage13–20.0229%30 Sept →
cache13–6-0.0222%30 Sept →
dust213–2-0.026%30 Sept →
vertigo12–120.0629%23 Sept →
ancient11–40.0413%19 Sept →
cache13–10.0124%19 Sept →
anubis13–10-0.043%10 Sept →
mirage10–13-0.0115%10 Sept →
mirage8–13-0.0112%9 Sept →
overpass13–5-0.0116%9 Sept →
nuke13–6-0.0116%9 Sept →
dust27–13-0.019%9 Sept →
nuke16–130.0616%8 Sept →
dust213–11-0.044%8 Sept →
nuke13–30.0314%8 Sept →
anubis10–130.005%8 Sept →
mirage13–80.024%8 Sept →
dust213–5-0.008%8 Sept →
inferno13–90.0416%8 Sept →
ancient0–6-0.0338%8 Sept →
ancient16–140.0514%8 Sept →
inferno8–130.0014%8 Sept →
mirage13–00.076%8 Sept →
cache16–130.0119%7 Sept →
mirage9–13-0.0526%7 Sept →
nuke10–13-0.0111%7 Sept →

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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