jD™

jD™ — CS2 Stats

NZ76561197960560500[U:1:294772]Steam profile ↗

3,430Tracked matches59%Win rate2021Tracked since
CSDB Rating5.1 Developing
Premier CS Rating6,547Light Blue band · top ~71.4% of ranked players (population est.)
CSDB Leaderboard#10867 of 14383 tracked
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGjD™FACEITLevel 2STANDINGTop 97.9% of rankedPREMIER6,547 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim47
Positioning58
Utility77

0–100 skill scores via Leetify.

Recent form

STEADY50473Last 10050%Win rateLWWLLWWWLW

Last 10 vs previous 10: +30pp win rate · -0.04 avg rating

Player DNA

Aim4.7
Aggression8.4
Utility7.7
Positioning5.8
Opening Duels3.4

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 85% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: 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

Strengths

Flashes. 0.76 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 77 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 53% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 593ms 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

Aim4.7
Positioning5.8
Utility7.7
Mechanics5.4
Opening Duels3.4
Win Impact7.9

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 rating0.02−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time594ms−56ms
first ⅓ avg 650ms → last ⅓ avg 594ms
Headshot accuracy10.1%−0.2%
first ⅓ avg 10.3% → last ⅓ avg 10.1%

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.

Highlights

0.23Best rating — nuke 13–7
130Biggest win — dust2
5Longest win streak
97In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 70% over 10infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A27151256%0.02
anubisC146843%0.01
nukeA138562%0.05
ancientC135838%0.03
mirageC125742%-0.01
infernoC114736%0.03
cacheS107370%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

10Matches
10%Win rate
0.54Avg K/D
ADR
37%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.7812.0
Vertigo10%0.6511.0

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.

9.7%Headshot accuracy
33.8%Accuracy (enemy spotted)
36.2%Spray accuracy
74.4%Counter-strafing
11.3°Preaim
593msReaction time
34.3%T opening success
52.9%CT opening success
0.76Enemies flashed / flash
7.4%Flash assists
10.25HE damage / grenade
18.82Flashes / 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 9.6626% — below the 15% mark we flag

    Aim Training
  2. 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 34.3084% — 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.

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

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage12–16-0.0713%28 Aug
mirage13–1-0.067%28 Aug
anubis13–110.077%28 Aug
dust26–13-0.073%28 Aug
nuke11–13-0.0611%28 Aug
cache10–50.0212%27 Aug
dust213–80.0816%27 Aug
dust213–90.0810%26 Aug
dust212–160.0210%26 Aug
anubis13–80.068%24 Aug
dust24–130.1018%24 Aug
mirage10–13-0.0013%24 Aug
inferno13–50.028%23 Aug
cache8–130.0010%23 Aug
ancient15–150.085%23 Aug
nuke11–130.0213%23 Aug
mirage8–130.0211%22 Aug
dust213–50.079%22 Aug
inferno7–130.0914%22 Aug
cache13–60.028%22 Aug
dust213–9-0.0413%22 Aug
nuke13–110.0611%22 Aug
anubis11–130.0110%22 Aug
nuke13–3-0.002%21 Aug
nuke13–110.0511%21 Aug
anubis9–130.047%21 Aug
inferno13–60.045%20 Aug
dust213–110.034%20 Aug
ancient13–70.115%19 Aug
dust213–110.0513%19 Aug
ancient5–130.0416%19 Aug
dust26–13-0.0519%18 Aug
dust26–13-0.0610%18 Aug
nuke13–70.115%18 Aug
ancient9–13-0.0013%17 Aug
dust211–13-0.019%17 Aug
anubis10–130.054%16 Aug
ancient13–70.0813%16 Aug
nuke14–160.087%16 Aug
dust29–130.0415%16 Aug
cache8–5-0.0021%16 Aug
anubis7–13-0.0713%15 Aug
inferno9–130.028%15 Aug
mirage3–13-0.0111%15 Aug
nuke13–70.239%15 Aug
ancient7–13-0.0417%15 Aug
mirage9–130.029%15 Aug
ancient16–14-0.027%15 Aug
dust216–14-0.016%15 Aug
mirage13–7-0.023%15 Aug
cache5–13-0.092%15 Aug
cache13–9-0.0414%14 Aug
ancient9–130.026%14 Aug
inferno4–13-0.0310%14 Aug
dust213–50.0515%14 Aug
anubis8–13-0.046%14 Aug
nuke10–130.098%14 Aug
cache13–10.0814%13 Aug
ancient13–70.045%13 Aug
nuke13–8-0.059%13 Aug
nuke13–40.0212%13 Aug
ancient6–130.006%13 Aug
dust29–13-0.0515%12 Aug
ancient13–50.0414%12 Aug
anubis11–130.0410%12 Aug
dust27–13-0.057%12 Aug
dust28–130.038%11 Aug
cache13–100.087%11 Aug
inferno5–13-0.0010%11 Aug
inferno5–130.015%11 Aug
anubis13–7-0.005%10 Aug
dust213–70.0511%9 Aug
anubis13–8-0.078%9 Aug
inferno9–130.0210%9 Aug
dust213–50.0914%9 Aug
dust213–8-0.0013%8 Aug
mirage15–150.0310%8 Aug
ancient9–130.1015%8 Aug
cache7–130.047%8 Aug
ancient8–130.005%8 Aug
cache13–100.039%8 Aug
anubis8–30.016%8 Aug
dust28–130.0316%8 Aug
mirage15–150.018%8 Aug
dust213–00.1116%8 Aug
inferno13–70.208%8 Aug
dust213–7-0.0123%8 Aug
inferno4–13-0.0414%7 Aug
anubis3–13-0.046%7 Aug
nuke13–10.1114%7 Aug
mirage13–90.027%7 Aug
anubis13–100.038%7 Aug
dust213–80.094%7 Aug
mirage13–11-0.0216%7 Aug
dust27–13-0.017%7 Aug
inferno13–40.0113%7 Aug
anubis7–13-0.0210%7 Aug
nuke14–16-0.017%7 Aug
dust213–80.0616%7 Aug
mirage13–110.009%7 Aug

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
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