Jade

Jade — CS2 Stats

ZA76561199223210010[U:1:1262944282]Steam profile ↗✓ No bans

1,824Tracked matches28%Win rate2022Tracked since
1,442Hours in CS12Hrs last 2 wks
CSDB Rating2.7 Learning
Ladder ranks via Leetify

Performance scores

Aim26
Positioning28
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY43534Last 10043%Win rateWLWWWLLWLL

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Aim2.6
Aggression1.8
Utility5.7
Positioning2.8
Opening Duels0.0

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

NiKo

Plays most like NiKo 69% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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. 0.85 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 642ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim2.6
Positioning2.8
Utility5.7
Mechanics3.6
Opening Duels0.0
Win Impact0.0

Composite 2.7/10 (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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time640ms−57ms
first ⅓ avg 697ms → last ⅓ avg 640ms
Headshot accuracy9.8%−0.6%
first ⅓ avg 10.4% → last ⅓ avg 9.8%

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

0.19Best rating — nuke 13–3
132Biggest win — inferno
5Longest win streak
810In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 63% over 8ancientWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C30121840%-0.03
mirageB24111346%-0.03
nukeC135838%-0.01
cacheC114736%-0.06
infernoA85363%0.01
ancientD72529%-0.05
anubis32167%-0.01
overpass21150%-0.00
boulder110100%-0.02
train1010%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (29% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

28,674Lifetime kills
0.66K/D
2,494Matches
36.2%Match win rate
35.7%Headshot %
6.1%Shot accuracy
1,988MVPs
855Hours (in match)
1,876Bombs planted
312Bombs defused

Most-used weapons

AK-475,301
SG 5531,923
AUG1,796
AWP1,517
P901,378
XM10141,131
MP71,124

Lifetime map wins

5,485dust2
3,253inferno
1,005nuke
977vertigo
342train
73office
23ar_shoots
23ar_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.

9.4%Headshot accuracy
27.5%Accuracy (enemy spotted)
28.3%Spray accuracy
66.2%Counter-strafing
9.7°Preaim
642msReaction time
18.6%T opening success
24.9%CT opening success
0.85Enemies flashed / flash
4.6%Flash assists
8.24HE damage / grenade
7.93Flashes / 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 9.4353% — 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 18.5984% — below the 40% mark we flag

Spend your practice time on Ancient

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–100.0011%26 Aug
dust211–13-0.0511%25 Aug
dust216–14-0.0210%23 Aug
inferno13–11-0.008%22 Aug
dust213–8-0.033%22 Aug
inferno11–130.042%21 Aug
dust212–160.0111%20 Aug
mirage13–60.0811%19 Aug
dust27–13-0.066%18 Aug
dust29–13-0.119%17 Aug
mirage8–13-0.0414%16 Aug
boulder13–8-0.023%15 Aug
dust21–13-0.0717%15 Aug
dust29–13-0.0413%14 Aug
mirage13–90.057%13 Aug
train7–13-0.0110%12 Aug
dust24–13-0.0211%12 Aug
mirage9–13-0.0810%10 Aug
dust24–13-0.0710%9 Aug
cache3–13-0.078%8 Aug
dust210–130.0011%5 Aug
mirage15–15-0.042%4 Aug
ancient2–13-0.0412%3 Aug
dust214–160.0013%1 Aug
cache13–16-0.096%30 Jul
dust213–70.0511%29 Jul
anubis7–13-0.0415%28 Jul
mirage1–13-0.0920%28 Jul
nuke5–13-0.0510%26 Jul
ancient8–13-0.087%24 Jul
mirage5–13-0.017%18 Jul
cache6–13-0.0612%14 Jul
nuke11–13-0.0512%11 Jul
mirage13–11-0.0511%10 Jul
cache13–5-0.0416%9 Jul
dust213–50.0610%9 Jul
mirage13–60.017%8 Jul
cache3–13-0.0914%8 Jul
inferno11–13-0.0310%6 Jul
dust213–100.0211%5 Jul
inferno13–5-0.0111%4 Jul
dust213–8-0.0811%4 Jul
nuke16–140.038%3 Jul
dust213–9-0.0624%1 Jul
mirage11–13-0.0515%29 Jun
inferno2–130.028%26 Jun
ancient5–13-0.0812%25 Jun
anubis13–50.0211%24 Jun
inferno13–2-0.0219%24 Jun
mirage15–15-0.0510%23 Jun
mirage13–50.066%23 Jun
nuke13–100.0116%22 Jun
dust211–13-0.0617%21 Jun
dust213–10-0.0013%18 Jun
nuke4–13-0.0415%17 Jun
ancient13–11-0.069%14 Jun
dust213–8-0.026%14 Jun
mirage13–20.0313%11 Jun
dust27–13-0.0318%11 Jun
mirage5–13-0.117%10 Jun
mirage13–2-0.0112%9 Jun
ancient7–13-0.0412%8 Jun
nuke13–30.1914%8 Jun
nuke6–13-0.038%5 Jun
nuke10–13-0.066%4 Jun
inferno13–100.0811%4 Jun
dust26–13-0.0510%4 Jun
ancient8–13-0.086%3 Jun
mirage16–14-0.044%3 Jun
mirage11–13-0.015%2 Jun
dust25–13-0.032%1 Jun
nuke13–50.085%31 May
inferno13–110.034%29 May
dust211–13-0.047%28 May
anubis13–3-0.017%28 May
nuke10–13-0.038%27 May
mirage15–150.016%27 May
overpass16–14-0.0510%26 May
dust28–13-0.1013%25 May
overpass11–130.046%24 May
mirage13–10-0.0310%23 May
dust213–6-0.058%23 May
mirage7–13-0.0619%23 May
ancient13–90.0116%22 May
dust213–100.0418%20 May
dust26–13-0.0811%19 May
cache4–13-0.0413%17 May
nuke7–13-0.0414%16 May
mirage15–15-0.065%16 May
mirage9–13-0.089%15 May
mirage13–10-0.0112%15 May
dust27–130.0215%14 May
cache9–13-0.0715%13 May
nuke13–10-0.0213%9 May
cache13–9-0.029%9 May
cache1–13-0.129%8 May
dust213–30.1021%6 May
nuke7–13-0.0510%5 May
mirage13–7-0.0627%3 May
cache13–7-0.0311%2 May

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 →