JT — CS2 Stats

76561198846905776[U:1:886640048]✓ No bans

941Tracked matches43%Win rate2020Tracked since
CSDB Rating4.5 DevelopingHybrid Rifler
FaceitLevel 7 · 1,407 ELOTop 42.3% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GGJTFACEITLevel 7 · 1,407 ELOSTANDINGTop 42.3% of rankedcsdb.gg/stats

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Performance scores

Aim63
Positioning42
Utility66

0–100 skill scores via Leetify.

Recent form

COLD46504Last 10046%Win rateTLLLTWLWLW

Last 10 vs previous 10: -20pp win rate · +0.01 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.3
Aggression4.5
Utility6.6
Positioning4.2
Opening Duels0.3
Clutch3.4

Effective flashes

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 86% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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

Areas to improve

Reaction time. 586ms 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

Aim6.3
Positioning4.2
Utility6.6
Mechanics6.0
Opening Duels0.8
Win Impact2.6

Composite 4.5/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time579ms−33ms
first ⅓ avg 611ms → last ⅓ avg 579ms
Headshot accuracy19.4%+0.6%
first ⅓ avg 18.7% → last ⅓ avg 19.4%

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.

Highlights

0.13Best rating — inferno 8–8
131Biggest win — nuke
4Longest win streak
511In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 89% over 9mirageWeakest map · 22% over 18
MapGradePlayedRecordWin rateAvg rating
dust2B28131546%-0.01
mirageD1841422%-0.03
infernoA116555%-0.02
cacheB105550%-0.01
nukeS98189%0.00
anubisB84450%0.01
ancientC83538%-0.03
overpassC52340%-0.04
train31233%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (22% over 18). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

459Matches
49%Win rate
0.99Avg K/D
75.6ADR
48%Headshot %

Clutches & streaks

37%1v1 clutch win
21%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage10852%1.0114.9
Dust29649%1.0314.8
Inferno6144%0.9413.7
Nuke4654%1.0013.8
Ancient4040%0.9815.6
Anubis3453%1.0915.7
Cache2650%0.9714.7
Train1580%1.0414.4

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.

20.5%Headshot accuracy
30.4%Accuracy (enemy spotted)
31.5%Spray accuracy
76.9%Counter-strafing
8.9°Preaim
586msReaction time
26.2%T opening success
36.1%CT opening success
0.71Enemies flashed / flash
9.2%Flash assists
11.18HE damage / grenade
13.00Flashes / 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 26.2092% — below the 40% mark we flag

Spend your practice time on Mirage

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

22% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage15–150.0122%27 Aug
cache7–13-0.0420%20 Aug
mirage5–13-0.106%20 Aug
train11–13-0.0029%9 Aug
train12–12-0.0218%19 Jul
inferno13–4-0.0022%18 Jul
dust214–160.0325%18 Jul
mirage13–20.0417%16 Jul
cache11–13-0.0425%16 Jul
inferno13–6-0.0420%15 Jul
anubis13–9-0.0623%15 Jul
inferno8–13-0.0722%15 Jul
mirage8–13-0.0535%14 Jul
mirage14–16-0.0120%14 Jul
dust213–30.0216%6 Jul
dust213–11-0.0430%6 Jul
mirage13–9-0.0318%1 Jul
dust213–4-0.0418%1 Jul
anubis10–130.0415%1 Jul
ancient6–13-0.0125%28 Jun
dust29–13-0.018%28 Jun
cache13–50.0210%28 Jun
ancient8–13-0.0414%27 Jun
cache13–80.0426%27 Jun
ancient5–13-0.0929%26 Jun
dust29–13-0.0517%26 Jun
ancient2–13-0.0421%25 Jun
mirage19–22-0.0617%24 Jun
cache13–30.0626%24 Jun
dust213–4-0.0119%24 Jun
dust213–2-0.035%24 Jun
cache11–13-0.0714%24 Jun
nuke16–13-0.046%23 Jun
cache13–100.0126%23 Jun
cache6–13-0.0021%23 Jun
anubis5–130.0119%23 Jun
anubis10–130.0129%22 Jun
dust213–70.0119%20 Jun
inferno8–80.1321%20 Jun
nuke13–11-0.0115%20 Jun
mirage13–7-0.0243%20 Jun
cache13–50.0327%18 Jun
dust24–13-0.0129%18 Jun
dust214–16-0.0230%17 Jun
nuke13–4-0.054%16 Jun
anubis13–9-0.0018%16 Jun
nuke13–7-0.0113%15 Jun
ancient13–7-0.0115%15 Jun
mirage12–120.0220%15 Jun
ancient13–100.0121%15 Jun
ancient13–9-0.0219%13 Jun
mirage11–13-0.0410%10 Jun
ancient11–13-0.0420%10 Jun
mirage5–13-0.0732%10 Jun
anubis5–13-0.0211%10 Jun
overpass13–11-0.0220%10 Jun
dust213–20.0130%10 Jun
mirage7–13-0.0211%10 Jun
inferno2–13-0.1423%9 Jun
dust213–160.0025%9 Jun
nuke13–90.0320%7 Jun
inferno13–9-0.0226%7 Jun
dust29–130.0124%7 Jun
nuke13–1-0.0120%6 Jun
dust20–10-0.027%4 Jun
dust213–70.0020%4 Jun
anubis13–90.0813%4 Jun
dust213–40.0428%4 Jun
mirage13–5-0.0216%3 Jun
mirage7–13-0.0826%3 Jun
mirage10–13-0.0023%3 Jun
anubis13–100.0421%2 Jun
dust25–13-0.048%1 Jun
dust213–5-0.0224%31 May
inferno10–13-0.0220%31 May
mirage5–13-0.0110%30 May
dust29–130.0328%30 May
inferno11–130.0826%29 May
dust213–16-0.0013%28 May
overpass9–13-0.0519%27 May
overpass13–3-0.0510%27 May
dust28–13-0.0218%27 May
nuke13–50.1018%21 May
dust213–30.0529%21 May
mirage2–13-0.0118%20 May
nuke6–13-0.0638%20 May
dust27–13-0.0814%20 May
mirage17–19-0.0516%19 May
cache2–13-0.0710%19 May
dust213–90.0519%19 May
inferno16–13-0.0816%17 Mar
dust28–13-0.059%17 Mar
overpass11–13-0.073%17 Feb
nuke13–80.0617%3 Feb
dust24–13-0.1330%20 Jan
inferno13–5-0.0817%15 Jan
train16–140.0213%12 Jan
dust213–60.0318%10 Jan
inferno13–110.0124%6 Jan
overpass9–13-0.0118%4 Jan

Match data via Leetify.

Recent teammates

Milestones

500 Matches
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