JD

JD — CS2 Stats

GB76561199052843535[U:1:1092577807]Steam profile ↗✓ No bans

789Tracked matches36%Win rate2024Tracked since
610Hours in CS6Hrs last 2 wks
CSDB Rating3.1 LearningSupport
Premier CS Rating6,918Light Blue band · top ~69.6% of ranked players (population est.)
WingmanSilver IV
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 6,918 -3,632 23 Jul – 11 Oct · 37 days played
6,91813,462peak 13,46223 Jul11 Oct
13,462Peak Premier in tracked matches
47Days played since 2026-07-23

Premier CS Rating

  • 6,544 below peak (13,462)
  • -3,082 over 30 days · declining
  • -3,632 over 90 days
  • Next: Blue band at 10,000 — 3,082 to go
  • Reached: Blue band · Light Blue band

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

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=8,820), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLight Blue band medianBlue band medianvs Blue band
Headshot rate32.1%39.9%42.0%9.9% short
Shot accuracy0.0%7.0%9.6%9.6% short
Kill/death ratio0.720.920.980.26 short
Match win rate40.6%42.3%43.8%3.2% short

This profile sits below the typical Blue band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJDPREMIER6,918 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim30
Positioning48
Utility54

0–100 skill scores via Leetify.

Recent form

COLD43–52–5Last 10043%Win rateWLLLLWLTWL

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · −0.7pp headshot accuracy · +6ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 595ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 667ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 664ms

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 (+1.6 against its own average).

Aim3.0
Utility5.4
Positioning4.8
Opening Duels1.2

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 62% playstyle similarity

Most alike: utility contribution, positioning profile.

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

CT openings. Opening success drops from 53% on T to 37% on CT — first contacts on the defending side are being lost.

Reaction time. 676ms 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

Aim3.0
Positioning4.8
Utility5.4
Mechanics2.7
Opening Duels3.8
Win Impact0.2

Composite 3.1/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time675ms−42ms
first ⅓ avg 717ms → last ⅓ avg 675ms
Headshot accuracy13.0%+2.7%
first ⅓ avg 10.2% → last ⅓ avg 13.0%

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 · 13–6 · cache, 19 Aug →
25%Best headshot accuracy · 6–13 · mirage, 23 Aug →
477msFastest reaction time · 7–13 · dust2, 1 Sept →
13–0Biggest win · dust2, 23 Jul →

Across the last 100 tracked matches.

Highlights

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

Map breakdown

nukeBest map · 67% over 15vertigoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageC177–1041%-0.03
cacheB179–853%-0.03
nukeS1510–567%-0.04
dust2D134–931%-0.03
ancientD123–925%-0.03
vertigoD61–517%-0.06
trainC52–340%-0.01
infernoC52–340%-0.02
anubis—41–325%-0.03
office—42–250%-0.03
overpass—22–0100%-0.03

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,911Lifetime kills
0.72K/D
1,068Matches
40.6%Match win rate
32.1%Headshot %
0.0%Shot accuracy
1,325MVPs
411Hours (in match)
1,037Bombs planted
310Bombs defused

Most-used weapons

Lifetime map wins

1,447nuke
973inferno
758vertigo
726dust2
673train
131office
10ar_shoots
2ar_baggage

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Skill profile

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

12.9%Headshot accuracy
32.6%Accuracy (enemy spotted)
34.9%Spray accuracy
62.1%Counter-strafing
11.6°Preaim
676msReaction time
53.5%T opening success
36.9%CT opening success
0.48Enemies flashed / flash
8.1%Flash assists
15.29HE damage / grenade
7.84Flashes / 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 12.8616% — 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 0.4778 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 36.8672% — below the 40% mark we flag

Spend your practice time on Vertigo

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategy →Vertigo grenade lineups →

Recent matches

MapScoreRatingHS%Date
train13–5-0.0113%13 Oct →
nuke10–13-0.068%13 Oct →
mirage8–13-0.0315%11 Oct →
dust23–130.0221%10 Oct →
anubis4–13-0.058%9 Oct →
overpass13–6-0.065%8 Oct →
train8–13-0.0616%8 Oct →
vertigo12–12-0.0615%1 Oct →
dust213–5-0.0818%1 Oct →
nuke9–13-0.089%29 Sept →
cache13–10-0.0617%29 Sept →
dust213–11-0.039%23 Sept →
cache13–7-0.0710%23 Sept →
ancient10–13-0.048%21 Sept →
cache9–13-0.0224%21 Sept →
nuke13–6-0.0215%20 Sept →
mirage13–60.0714%17 Sept →
dust28–13-0.0417%16 Sept →
ancient9–130.005%16 Sept →
dust29–13-0.0315%16 Sept →
ancient5–13-0.0314%16 Sept →
nuke11–13-0.0611%15 Sept →
inferno5–13-0.0221%15 Sept →
anubis10–13-0.0118%14 Sept →
mirage14–160.0213%14 Sept →
nuke13–8-0.0310%13 Sept →
mirage11–13-0.0415%10 Sept →
cache3–9-0.090%6 Sept →
office13–11-0.0712%6 Sept →
dust212–120.049%6 Sept →
dust29–130.0223%5 Sept →
mirage13–8-0.0412%5 Sept →
mirage16–14-0.0510%2 Sept →
inferno10–13-0.0319%2 Sept →
office7–13-0.0310%2 Sept →
office13–3-0.0119%2 Sept →
office3–13-0.0324%2 Sept →
cache12–12-0.0518%1 Sept →
ancient10–13-0.0418%1 Sept →
dust27–13-0.109%1 Sept →
inferno7–13-0.0216%27 Aug →
ancient11–13-0.087%27 Aug →
cache13–40.0411%26 Aug →
cache7–13-0.023%24 Aug →
vertigo12–12-0.079%24 Aug →
overpass13–3-0.0010%24 Aug →
dust210–13-0.0524%23 Aug →
mirage6–13-0.0525%23 Aug →
nuke13–11-0.0415%22 Aug →
mirage8–13-0.0722%22 Aug →
nuke9–13-0.0520%22 Aug →
ancient10–13-0.0914%20 Aug →
cache13–60.099%19 Aug →
train13–6-0.0219%18 Aug →
nuke13–10-0.0816%18 Aug →
anubis7–13-0.046%16 Aug →
inferno16–14-0.0310%16 Aug →
cache13–11-0.038%15 Aug →
nuke8–13-0.077%15 Aug →
mirage5–13-0.0916%15 Aug →
mirage13–11-0.0115%15 Aug →
train9–130.0213%12 Aug →
train9–130.039%12 Aug →
mirage9–130.018%12 Aug →
vertigo12–12-0.0516%11 Aug →
cache8–13-0.1111%11 Aug →
dust213–11-0.087%7 Aug →
ancient8–13-0.0316%7 Aug →
nuke13–9-0.048%6 Aug →
cache14–16-0.037%6 Aug →
mirage16–13-0.0519%5 Aug →
cache13–6-0.028%4 Aug →
nuke13–80.0415%4 Aug →
dust24–13-0.0119%4 Aug →
ancient13–9-0.007%3 Aug →
cache13–50.0110%3 Aug →
mirage13–90.0416%2 Aug →
nuke13–4-0.067%2 Aug →
cache10–13-0.028%2 Aug →
vertigo4–13-0.135%2 Aug →
anubis13–10-0.0019%1 Aug →
mirage4–13-0.073%1 Aug →
ancient13–10-0.014%1 Aug →
mirage10–13-0.0112%31 Jul →
cache13–5-0.0910%31 Jul →
vertigo13–2-0.034%30 Jul →
vertigo4–130.0214%30 Jul →
ancient13–10-0.026%28 Jul →
mirage9–13-0.0417%27 Jul →
mirage13–9-0.026%27 Jul →
cache4–13-0.0914%27 Jul →
ancient4–13-0.097%27 Jul →
inferno13–90.0114%27 Jul →
ancient10–130.0110%27 Jul →
dust26–13-0.0513%27 Jul →
nuke13–5-0.082%26 Jul →
nuke13–10-0.007%25 Jul →
nuke13–50.0311%24 Jul →
cache13–90.0210%23 Jul →
dust213–00.0114%23 Jul →

Match data via Leetify.

Recent teammates

Milestones

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

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