Jay

Jay — CS2 Stats

76561198053331961[U:1:93066233]Steam profile ↗✓ No bans

721Tracked matches50%Win rate2020Tracked since
CSDB Rating5.3 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then — still 721 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 47 days played since 15 May 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 11,402 -3,970 15 May6 Jul · 21 days played
11,06315,372peak 15,37215 May6 Jul
15,486Peak Premier in tracked matches
47Days played since 2026-05-15

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

Performance scores

Aim69
Positioning55
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY44542Last 10044%Win rateWWLLWLWTLW

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +0.1pp headshot accuracy · −102ms 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

  • 32 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 551ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 599ms

Last 20

  • 1082 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 650ms

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 PlayerPositioning stands above the rest of this profile (+1.9 against its own average).

Aim6.9
Utility3.3
Positioning5.5
Opening Duels3.6
Clutch2.0

Strong CT-side openerLimited utility dependence

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

iM

Plays most like iM 89% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower 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

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 55% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 644ms 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

Aim6.9
Positioning5.5
Utility3.3
Mechanics5.6
Opening Duels3.1
Win Impact5.0

Composite 5.3/10 (Developing), 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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time644ms+39ms
first ⅓ avg 605ms → last ⅓ avg 644ms
Headshot accuracy19.9%+5.1%
first ⅓ avg 14.8% → last ⅓ avg 19.9%

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 · dust2, 6 Jul
55%Best headshot accuracy · 4–13 · dust2, 13 Jun
359msFastest reaction time · 4–13 · nuke, 16 May
13–1Biggest win · mirage, 20 Jun

Across the last 100 tracked matches.

Highlights

3Longest win streak
W2Current streak
99In matches decided by ≤2 rounds
12Overtime games

Map breakdown

dust2Best map · 61% over 33anubisWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2A33201361%0.00
mirageD2791833%-0.02
ancientC125742%-0.04
nukeB84450%-0.01
anubisD71614%-0.04
infernoB63350%-0.02
cache41325%-0.00
overpass2020%-0.06
poseidon110100%0.11

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

226Matches
49%Win rate
0.87Avg K/D
71.6ADR
45%Headshot %

Clutches & streaks

30%1v1 clutch win
16%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage7547%0.8413.5
Dust26058%1.0015.7
Ancient2934%0.8013.7
Inferno1856%0.8415.3
Anubis1856%0.8514.9
Cache80%0.6411.5
Nuke560%0.559.4
Overpass1100%1.5534.0

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.

19.6%Headshot accuracy
36.1%Accuracy (enemy spotted)
42.8%Spray accuracy
75.0%Counter-strafing
10.0°Preaim
644msReaction time
30.0%T opening success
54.7%CT opening success
0.62Enemies flashed / flash
4.3%Flash assists
4.64HE damage / grenade
4.18Flashes / 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 30.0342% — below the 40% mark we flag

Spend your practice time on Anubis

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–90.0131%15 Sept
dust213–90.0322%15 Sept
dust28–13-0.0314%15 Sept
mirage8–13-0.0424%3 Sept
poseidon9–70.1122%25 Aug
inferno6–90.0219%25 Aug
dust213–40.0716%23 Jul
ancient15–15-0.0510%17 Jul
cache10–130.0129%17 Jul
dust213–110.0330%17 Jul
dust212–12-0.0721%14 Jul
nuke13–80.0235%13 Jul
cache13–60.036%13 Jul
dust22–13-0.0611%13 Jul
cache3–13-0.0117%12 Jul
dust213–10-0.0119%9 Jul
ancient16–13-0.0821%7 Jul
dust213–20.1634%6 Jul
dust210–13-0.0124%5 Jul
mirage11–130.0428%3 Jul
mirage13–11-0.0324%3 Jul
dust211–13-0.0723%3 Jul
anubis11–13-0.0620%3 Jul
dust213–9-0.000%2 Jul
mirage9–13-0.093%2 Jul
dust213–11-0.0328%2 Jul
mirage11–13-0.0019%2 Jul
inferno7–13-0.068%2 Jul
mirage13–7-0.0118%30 Jun
mirage13–8-0.0520%30 Jun
overpass6–13-0.0921%28 Jun
anubis14–16-0.0413%28 Jun
mirage8–130.0126%28 Jun
inferno13–9-0.0114%28 Jun
dust210–13-0.0616%28 Jun
nuke13–11-0.086%28 Jun
mirage13–80.0111%25 Jun
mirage8–13-0.068%23 Jun
dust219–16-0.0228%23 Jun
mirage2–13-0.0625%23 Jun
anubis16–130.0115%22 Jun
dust213–8-0.0221%22 Jun
nuke4–13-0.0527%21 Jun
dust25–13-0.0621%20 Jun
ancient8–13-0.0219%20 Jun
mirage13–10.1229%20 Jun
inferno8–13-0.0835%19 Jun
dust222–20-0.0130%18 Jun
mirage5–130.0228%17 Jun
ancient16–13-0.0215%17 Jun
dust213–90.0828%17 Jun
mirage16–13-0.0125%14 Jun
mirage5–13-0.0219%13 Jun
dust211–130.0020%13 Jun
anubis4–13-0.0418%13 Jun
dust210–13-0.0322%13 Jun
ancient13–11-0.0217%13 Jun
dust24–13-0.0555%13 Jun
mirage13–8-0.0516%13 Jun
dust213–11-0.0618%12 Jun
anubis6–13-0.099%11 Jun
ancient10–13-0.0410%11 Jun
ancient10–13-0.0212%10 Jun
mirage13–80.0218%10 Jun
nuke11–13-0.0924%10 Jun
mirage13–16-0.0519%9 Jun
dust213–8-0.0034%8 Jun
anubis12–16-0.0718%7 Jun
inferno16–130.0015%7 Jun
ancient13–70.0220%6 Jun
dust213–40.1120%4 Jun
anubis9–13-0.0110%31 May
mirage10–13-0.058%31 May
mirage1–13-0.078%31 May
dust213–50.0619%29 May
dust213–70.0317%29 May
nuke11–13-0.0320%28 May
mirage6–13-0.0316%27 May
nuke13–40.0911%27 May
mirage10–130.0122%25 May
mirage10–13-0.045%23 May
dust213–70.0220%23 May
dust211–130.0513%22 May
ancient4–13-0.0613%22 May
overpass6–13-0.038%22 May
mirage7–13-0.0416%21 May
dust213–90.0317%19 May
cache3–13-0.033%18 May
dust213–80.0610%18 May
mirage10–13-0.0118%18 May
inferno13–11-0.0210%18 May
dust27–13-0.0520%17 May
mirage12–16-0.0714%16 May
nuke4–13-0.0633%16 May
ancient3–13-0.098%16 May
ancient8–13-0.0815%15 May
nuke13–50.099%15 May
mirage13–70.0515%15 May
dust213–5-0.0222%15 May
dust24–13-0.0216%15 May

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →