j3

j3 — CS2 Stats

76561198351830066[U:1:391564338]Steam profile ↗✓ No bans

1,675Tracked matches50%Win rate2020Tracked since
CSDB Rating7.0 StrongPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

+33Tracked matches · now 1,675
+3.3ppWin rate · 46.7% → 50.0%

Rating over time

20,747Peak Premier in tracked matches
58Days played since 2024-02-15

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

Performance scores

Aim94
Positioning69
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateLLLLLWWWWL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −3.7pp headshot accuracy · −47ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 436ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 467ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 491ms

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 (+2 against its own average).

Aim9.4
Utility4.9
Positioning6.9
Opening Duels4.2
Clutch3.8

Sharp aimerStrong CT-side opener

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

ropz

Plays most like ropz 93% playstyle similarity

Most alike: utility contribution, positioning 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

Aim. Aim score of 94 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

T-side openings. Opening success drops from 58% on CT to 32% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim9.4
Positioning6.9
Utility4.9
Mechanics7.7
Opening Duels3.7
Win Impact5.0

Composite 7.0/10 (Strong), 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 rating0.01−0.04
first ⅓ avg 0.05 → last ⅓ avg 0.01
Reaction time503ms−83ms
first ⅓ avg 586ms → last ⅓ avg 503ms
Headshot accuracy21.6%−2.5%
first ⅓ avg 24.0% → last ⅓ avg 21.6%

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

0.23Best match rating · 13–4 · nuke, 22 Nov →
53%Best headshot accuracy · 10–6 · inferno, 5 Sept →
359msFastest reaction time · 8–13 · inferno, 22 Apr →
13–1Biggest win · inferno, 21 Dec →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L5Current streak
6–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 67% over 9trainWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
nukeA2313–1057%0.03
mirageA1912–763%0.03
dust2B126–650%0.03
overpassC125–742%0.01
ancientB115–645%0.00
infernoS96–367%0.08
trainC52–340%0.03
cache—41–325%0.01
vertigo—32–167%0.05
anubis—20–20%-0.01

Across the last 100 tracked matches.

Faceit stats

Combat

4,007Matches
63%Win rate
1.79Avg K/D
86.0ADR
42%Headshot %

Clutches & streaks

39%1v1 clutch win
26%1v2 clutch win
25Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage7952%1.3818.5
Nuke7158%1.3117.3
Dust27059%1.6018.4
Anubis5848%1.6318.1
Overpass5761%1.4418.6
Inferno5652%1.2717.4
Ancient3954%1.4217.6
Train2552%1.3916.4

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.

21.5%Headshot accuracy
44.0%Accuracy (enemy spotted)
45.9%Spray accuracy
84.8%Counter-strafing
9.1°Preaim
495msReaction time
31.7%T opening success
57.7%CT opening success
0.57Enemies flashed / flash
5.9%Flash assists
7.65HE damage / grenade
6.85Flashes / 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 31.6768% — below the 40% mark we flag

Spend your practice time on Train

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

40% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke11–130.0117%24 Sept →
ancient3–13-0.0719%24 Sept →
mirage11–13-0.0226%24 Sept →
dust26–13-0.0121%24 Sept →
nuke15–19-0.0717%23 Sept →
mirage13–9-0.0315%23 Sept →
ancient13–90.0816%23 Sept →
cache13–60.1114%23 Sept →
ancient13–7-0.0218%23 Sept →
cache12–160.0127%22 Sept →
ancient6–13-0.0316%22 Sept →
mirage13–9-0.0124%22 Sept →
cache1–13-0.0738%22 Sept →
ancient13–70.0412%22 Sept →
nuke9–13-0.0334%19 Sept →
inferno13–80.0629%19 Sept →
cache7–130.0018%19 Sept →
dust23–13-0.0117%19 Sept →
ancient19–170.0317%19 Sept →
nuke10–130.0522%31 Aug →
inferno13–20.2141%31 Aug →
nuke8–13-0.0021%25 Aug →
mirage13–110.0723%25 Aug →
dust225–22-0.0124%25 Aug →
nuke13–3-0.0330%20 Aug →
ancient13–60.1125%20 Aug →
mirage16–130.0119%9 Aug →
mirage13–60.0526%10 Jul →
ancient9–13-0.0315%28 Jun →
overpass8–13-0.0115%29 May →
nuke10–13-0.0114%29 May →
dust213–90.0523%29 May →
dust216–130.0117%25 May →
nuke13–50.1030%25 May →
dust213–110.0415%24 May →
nuke10–13-0.0129%24 May →
ancient11–130.0414%7 May →
ancient1–13-0.057%24 Apr →
dust25–13-0.0120%24 Apr →
inferno8–13-0.0519%22 Apr →
anubis8–130.0119%22 Apr →
mirage13–3-0.0112%19 Apr →
dust210–130.0931%2 Apr →
overpass13–80.0733%1 Apr →
overpass12–150.0311%29 Mar →
mirage2–130.0313%29 Mar →
overpass0–1-0.100%29 Mar →
anubis7–13-0.0325%2 Mar →
overpass13–7-0.0025%2 Mar →
mirage11–130.0438%2 Mar →
train7–130.0316%8 Feb →
mirage13–20.0622%16 Jan →
nuke13–40.0311%14 Jan →
overpass9–130.0519%20 Nov →
nuke6–13-0.0031%20 Nov →
ancient1–13-0.0631%30 Sept →
train2–13-0.0341%30 Sept →
overpass5–13-0.0633%29 Sept →
mirage8–13-0.0314%29 Sept →
inferno5–13-0.0413%27 Sept →
inferno13–60.1239%10 Sept →
nuke13–80.0733%9 Sept →
dust27–130.0014%9 Sept →
vertigo12–120.1134%5 Sept →
mirage7–10.1243%5 Sept →
inferno10–60.1853%5 Sept →
train13–40.0432%1 Sept →
nuke16–120.034%1 Sept →
nuke13–50.1020%14 Aug →
mirage13–110.0124%13 Aug →
mirage13–100.0825%24 Jul →
train9–130.0219%24 Jun →
train13–60.0826%5 Feb →
nuke11–130.0934%5 Feb →
mirage7–130.2328%31 Jan →
inferno13–10.0413%21 Dec →
nuke13–60.1040%26 Nov →
dust211–130.0217%26 Nov →
inferno8–13-0.0323%25 Nov →
inferno13–30.2331%23 Nov →
nuke13–40.2351%22 Nov →
dust213–100.1347%24 Sept →
nuke13–70.0428%22 Sept →
dust213–40.0834%18 Jul →
mirage6–13-0.0113%14 May →
nuke13–110.0613%8 May →
overpass3–13-0.0720%9 Mar →
overpass3–13-0.0720%9 Mar →
mirage7–13-0.0124%9 Mar →
mirage16–14-0.0323%1 Mar →
vertigo13–80.0121%28 Feb →
overpass13–40.0519%27 Feb →
nuke13–100.0626%22 Feb →
nuke13–50.0033%21 Feb →
overpass13–40.1530%21 Feb →
nuke5–13-0.0224%20 Feb →
overpass13–30.129%20 Feb →
vertigo13–90.0518%19 Feb →
mirage13–6-0.048%18 Feb →
nuke13–90.0029%15 Feb →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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