JayJay

JayJay — CS2 Stats

76561199139852087[U:1:1179586359]Steam profile ↗✓ No bans

1,108Tracked matches43%Win rate2021Tracked since
CSDB Rating6.4 SolidAll-Rounder
Premier CS Rating13,242Blue band · top ~37.7% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 25 Oct 2026 (yesterday). 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: 13,242 +2,593 25 Feb – 25 Oct · 27 days played
10,44615,573peak 15,57325 Feb25 Oct
15,883Peak Premier in tracked matches
42Days played since 2026-02-18

Premier CS Rating

  • 2,331 below peak (15,573)
  • Next: Purple band at 15,000 — 1,758 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.

Share this profile

CSDB.GGJayJayFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER13,242 · Blue bandcsdb.gg/stats

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Performance scores

Aim84
Positioning60
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY45–52–3Last 10045%Win rateLWLLLWLWWL

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · −0.5pp headshot accuracy · +12ms reaction

Win rate +10pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 14%
  • Avg reaction 536ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 543ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 537ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.4
Utility6.0
Positioning6.0
Opening Duels3.9
Clutch6.0

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

NiKo

Plays most like NiKo 98% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

T openings. 66% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 66% on T to 46% on CT — first contacts on the defending side are being lost.

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

Aim8.4
Positioning6.0
Utility6.0
Mechanics7.8
Opening Duels6.5
Win Impact2.8

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time535ms−82ms
first ⅓ avg 617ms → last ⅓ avg 535ms
Headshot accuracy16.9%−2.7%
first ⅓ avg 19.6% → last ⅓ avg 16.9%

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

0.16Best match rating · 13–2 · nuke, 4 Mar →
41%Best headshot accuracy · 13–3 · inferno, 12 Apr →
406msFastest reaction time · 13–5 · mirage, 12 Oct →
13–2Biggest win · inferno, 6 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
3–9In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 71% over 14ancientWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB2612–1446%0.02
dust2D248–1633%-0.00
mirageC146–843%0.03
nukeS1410–471%0.03
ancientD70–70%0.00
anubisD62–433%-0.03
cacheA53–260%0.01
overpass—44–0100%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

11Matches
45%Win rate
0.73Avg K/D
96.9ADR
39%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Inferno1100%1.4619.0
Anubis1100%1.3026.0

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.

16.9%Headshot accuracy
39.6%Accuracy (enemy spotted)
39.1%Spray accuracy
85.0%Counter-strafing
9.5°Preaim
532msReaction time
65.8%T opening success
45.8%CT opening success
0.57Enemies flashed / flash
3.5%Flash assists
12.00HE damage / grenade
9.82Flashes / match

Recommended for you

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.

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–130.0714%25 Oct →
inferno16–120.056%25 Oct →
mirage4–130.0620%25 Oct →
nuke7–130.0219%24 Oct →
inferno7–130.0411%24 Oct →
dust213–100.0318%22 Oct →
inferno7–13-0.0115%22 Oct →
inferno16–120.0416%21 Oct →
nuke13–80.0619%21 Oct →
dust23–13-0.0726%21 Oct →
dust26–13-0.0324%21 Oct →
dust27–13-0.0310%20 Oct →
inferno16–120.0115%19 Oct →
inferno13–80.0022%19 Oct →
inferno7–13-0.0222%18 Oct →
dust211–130.0113%18 Oct →
anubis16–14-0.0314%17 Oct →
anubis2–13-0.0318%17 Oct →
mirage13–160.0522%17 Oct →
ancient9–130.0210%16 Oct →
inferno13–80.0113%16 Oct →
ancient11–130.0022%16 Oct →
ancient9–130.0312%15 Oct →
inferno10–13-0.0419%15 Oct →
nuke13–90.0617%15 Oct →
inferno14–160.0327%15 Oct →
mirage13–70.0014%14 Oct →
inferno13–8-0.0022%14 Oct →
inferno13–40.0413%14 Oct →
nuke13–80.0519%14 Oct →
dust24–130.0126%14 Oct →
dust213–70.0711%14 Oct →
anubis6–130.0111%13 Oct →
dust213–10-0.0316%13 Oct →
nuke13–70.0218%13 Oct →
nuke13–3-0.016%13 Oct →
mirage13–50.0511%12 Oct →
dust29–13-0.0813%12 Oct →
dust213–7-0.0119%12 Oct →
nuke11–130.0120%9 Oct →
mirage13–70.0420%9 Oct →
dust29–130.0127%9 Oct →
mirage13–110.0918%9 Oct →
nuke10–130.0421%8 Oct →
mirage4–130.0217%8 Oct →
dust22–13-0.1023%8 Oct →
dust210–13-0.0112%8 Oct →
dust25–13-0.029%7 Oct →
dust213–40.0011%7 Oct →
dust213–8-0.0019%7 Oct →
dust213–100.0112%7 Oct →
cache4–130.006%25 May →
dust24–13-0.1012%25 May →
dust214–160.0327%17 May →
inferno8–13-0.0617%17 May →
overpass13–8-0.0014%17 May →
mirage11–13-0.0210%17 May →
dust213–70.0619%14 May →
cache13–110.0419%14 May →
cache3–13-0.0124%7 May →
cache13–5-0.0017%7 May →
inferno13–20.0316%6 May →
nuke13–4-0.0521%6 May →
cache13–60.0111%6 May →
dust28–130.0217%5 May →
inferno3–13-0.0120%5 May →
dust214–160.0320%19 Apr →
nuke13–40.0516%19 Apr →
inferno8–13-0.0419%15 Apr →
inferno13–30.0841%12 Apr →
dust212–120.0617%30 Mar →
overpass13–7-0.0119%29 Mar →
mirage10–130.0215%22 Mar →
mirage8–13-0.0020%16 Mar →
ancient9–13-0.0013%11 Mar →
inferno11–130.1012%9 Mar →
inferno3–13-0.0932%5 Mar →
overpass13–60.1110%5 Mar →
nuke13–70.0511%5 Mar →
anubis13–20.0124%5 Mar →
nuke13–9-0.0030%4 Mar →
nuke13–20.1637%4 Mar →
inferno15–150.0724%2 Mar →
mirage5–13-0.0115%2 Mar →
anubis6–13-0.0710%1 Mar →
inferno9–130.1120%28 Feb →
ancient2–13-0.0715%27 Feb →
mirage13–90.0215%27 Feb →
inferno13–9-0.0031%27 Feb →
mirage13–9-0.0018%26 Feb →
mirage15–150.0918%25 Feb →
inferno7–130.0525%25 Feb →
overpass13–50.0819%25 Feb →
ancient13–160.0311%21 Feb →
inferno13–60.1125%21 Feb →
inferno11–130.0115%20 Feb →
anubis5–13-0.066%20 Feb →
nuke5–130.0423%18 Feb →
ancient5–130.0119%18 Feb →
inferno13–100.0724%18 Feb →

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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