jD

jD — CS2 Stats

76561199137105368[U:1:1176839640]Steam profile ↗✓ No bans

1,655Tracked matches41%Win rate2023Tracked since
809Hours in CS
CSDB Rating5.1 DevelopingPositional Player
Premier CS Rating8,991Light Blue band · top ~59.7% of ranked players (population est.)
FaceitLevel 5 · 1,153 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Oct 2026 (40 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: 8,991 -5,504 6 Nov – 6 Oct · 21 days played
8,38018,651peak 18,6516 Nov6 Oct
18,710Peak Premier in tracked matches
1,153Highest Faceit ELO seen on CSDB
43Days played since 2025-11-06

Faceit ELO

  • At peak — 1,153
  • Next: Level 6 at 1,201 — 48 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

  • 9,660 below peak (18,651)
  • Next: Blue band at 10,000 — 1,009 to go
  • Reached: Purple band · 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 Level 5 among CSDB-tracked players (n=14,631), 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 playerLevel 5 medianLevel 6 medianvs Level 6
Headshot rate35.4%43.8%44.8%9.4% short
Shot accuracy5.2%12.0%12.4%7.2% short
Kill/death ratio0.831.021.030.20 short
Match win rate53.3%44.7%45.2%above

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGjDFACEITLevel 5 · 1,153 ELOSTANDINGTop 67.6% of rankedPREMIER8,991 · Light Blue bandPEAK ELO1,153csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim60
Positioning59
Utility58

0–100 skill scores via Leetify.

Recent form

COLD46–52–2Last 10046%Win rateLWLLLWLLLW

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · −0.9pp headshot accuracy · +8ms reaction

Win rate down 40pp 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 16%
  • Avg reaction 695ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 15%
  • Avg reaction 622ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 618ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim6.0
Utility5.8
Positioning5.9
Opening Duels2.6
Clutch3.6

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

Twistzz

Plays most like Twistzz 79% 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. 624ms 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

Aim6.0
Positioning5.9
Utility5.8
Mechanics7.1
Opening Duels5.0
Win Impact2.1

Composite 5.1/10 (Developing), 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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time621ms−51ms
first ⅓ avg 672ms → last ⅓ avg 621ms
Headshot accuracy15.4%+1.6%
first ⅓ avg 13.7% → last ⅓ avg 15.4%

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

0.20Best match rating · 10–13 · inferno, 18 Feb →
27%Best headshot accuracy · 8–11 · cache, 14 Jun →
359msFastest reaction time · 8–13 · inferno, 16 Apr →
11–0Biggest win · train, 9 Dec →

Across the last 100 tracked matches.

Highlights

6Longest win streak
6–4In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 77% over 13nukeWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
infernoA1810–856%0.00
ancientB179–853%-0.01
mirageS1310–377%-0.01
dust2C135–838%-0.01
nukeD101–910%-0.03
trainA106–460%-0.02
cacheD92–722%-0.05
anubisD61–517%-0.02
overpass—42–250%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (10% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

31,910Lifetime kills
0.83K/D
2,024Matches
53.3%Match win rate · Top 10% of Level 5 players
35.4%Headshot %
5.2%Shot accuracy
4,487MVPs
809Hours (in match)
1,962Bombs planted
365Bombs defused

Most-used weapons

Lifetime map wins

3,819inferno
3,336dust2
2,710nuke
1,111vertigo
1,027train
51office
1lake

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

Faceit stats

Combat

36Matches
42%Win rate
0.83Avg K/D
76.2ADR
32%Headshot %

Clutches & streaks

38%1v1 clutch win
21%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage633%0.7615.5
Train540%1.1914.4
Ancient560%0.9013.6
Inferno333%0.7418.0
Nuke250%0.9714.0
Dust2250%1.3218.0
Overpass1100%1.3316.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

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

15.0%Headshot accuracy
33.6%Accuracy (enemy spotted)
36.7%Spray accuracy
82.0%Counter-strafing
10.5°Preaim
624msReaction time
53.1%T opening success
46.6%CT opening success
0.58Enemies flashed / flash
6.3%Flash assists
9.54HE damage / grenade
9.73Flashes / match

Recommended for you

Spend your practice time on Nuke

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

10% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–16-0.0210%6 Oct →
mirage13–7-0.0321%6 Oct →
dust27–130.008%4 Oct →
cache2–13-0.0620%2 Oct →
dust29–13-0.0223%2 Oct →
inferno13–11-0.0713%2 Oct →
anubis3–13-0.0316%2 Oct →
cache5–13-0.0919%1 Oct →
anubis7–130.0511%1 Oct →
inferno13–6-0.076%30 Sept →
mirage13–100.0619%29 Sept →
inferno13–8-0.0510%28 Sept →
ancient13–11-0.0210%28 Sept →
nuke10–13-0.0517%28 Sept →
cache13–90.0013%28 Sept →
dust26–13-0.0417%27 Sept →
ancient13–50.0211%27 Sept →
anubis8–13-0.0925%23 Sept →
ancient13–40.0715%22 Sept →
inferno13–70.0120%22 Sept →
mirage13–40.0912%22 Sept →
anubis15–150.0112%20 Sept →
nuke2–80.0424%20 Sept →
anubis1–13-0.075%19 Sept →
cache6–13-0.0217%18 Sept →
dust213–9-0.0616%18 Sept →
mirage8–13-0.0512%17 Sept →
cache5–13-0.0319%17 Sept →
dust26–130.0321%17 Sept →
dust27–13-0.0214%17 Sept →
mirage13–5-0.0420%17 Sept →
inferno9–13-0.0324%17 Sept →
dust213–110.025%17 Sept →
nuke9–13-0.0311%17 Sept →
nuke11–13-0.0224%15 Sept →
ancient9–13-0.049%15 Sept →
cache2–13-0.110%14 Sept →
nuke4–13-0.0625%13 Sept →
ancient13–40.049%13 Sept →
dust213–4-0.039%12 Sept →
inferno7–130.0410%12 Sept →
ancient2–13-0.0717%12 Sept →
inferno7–13-0.046%11 Sept →
cache6–13-0.0014%15 Aug →
cache13–10-0.0415%11 Aug →
cache8–11-0.0627%14 Jun →
inferno8–13-0.0810%16 Apr →
anubis13–50.0411%16 Apr →
ancient10–00.0516%16 Apr →
inferno10–130.2016%18 Feb →
inferno13–16-0.0411%2 Jan →
dust25–13-0.0412%24 Dec →
train11–00.0418%9 Dec →
inferno8–13-0.028%30 Nov →
nuke2–13-0.0717%30 Nov →
ancient11–13-0.008%24 Nov →
dust210–13-0.0613%24 Nov →
overpass15–15-0.0010%24 Nov →
ancient2–130.0217%23 Nov →
mirage16–13-0.0219%23 Nov →
inferno7–13-0.046%23 Nov →
mirage13–6-0.0310%21 Nov →
mirage13–70.0511%21 Nov →
nuke11–13-0.088%20 Nov →
inferno13–110.0317%20 Nov →
nuke8–13-0.0418%19 Nov →
inferno13–40.0213%19 Nov →
dust216–13-0.0217%19 Nov →
mirage13–10-0.0515%19 Nov →
overpass13–7-0.087%18 Nov →
nuke8–13-0.0215%17 Nov →
ancient13–8-0.017%17 Nov →
inferno13–40.0213%17 Nov →
train16–13-0.018%16 Nov →
inferno13–30.0911%16 Nov →
nuke13–6-0.0014%14 Nov →
mirage13–160.0015%13 Nov →
train16–13-0.0116%13 Nov →
ancient10–13-0.128%13 Nov →
train7–13-0.066%13 Nov →
train16–14-0.0113%13 Nov →
train11–5-0.059%11 Nov →
inferno13–6-0.0121%11 Nov →
ancient13–50.0117%11 Nov →
ancient10–13-0.0215%11 Nov →
train9–13-0.0526%10 Nov →
ancient13–100.0323%10 Nov →
mirage16–14-0.038%10 Nov →
overpass13–40.019%10 Nov →
mirage13–100.0115%9 Nov →
ancient13–4-0.0220%9 Nov →
inferno13–70.0620%9 Nov →
train11–13-0.0515%9 Nov →
overpass7–13-0.0914%9 Nov →
ancient8–13-0.059%7 Nov →
train13–10-0.0012%7 Nov →
train6–13-0.037%7 Nov →
dust213–16-0.0215%7 Nov →
dust213–70.0518%6 Nov →
ancient9–130.0116%6 Nov →

Match data via Leetify.

Recent teammates

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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