Jay

Jay — CS2 Stats

CA76561198203193489[U:1:242927761]Steam profile ↗✓ No bans

1,964Tracked matches79%Win rate2021Tracked since
4,127Hours in CS15Hrs last 2 wks
CSDB Rating7.2 StrongPositional Player
FaceitLevel 10 · 2,598 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 2,598 → 2,598
+32Tracked matches · now 1,964
+6.0ppWin rate · 73.3% → 79.3%

Rating over time

Faceit ELO: 2,598 +0 27 Aug – 18 Sept · 5 observations
2,5982,598peak 2,59827 Aug18 Sept
2,598Highest Faceit ELO seen on CSDB
60Days played since 2025-12-11

Faceit ELO

  • At peak — 2,598
  • Next: 3,000 ELO at 3,000 — 402 to go
  • Reached: 2,500 ELO · Level 10 · Level 9 · Level 8
  • 2,500 ELO first seen 2026-08-28
  • Level 10 first seen 2026-08-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 10 median
Headshot rate53.2%50.9%
Shot accuracy9.5%13.7%
Kill/death ratio0.981.09
Match win rate46.3%48.4%

Share this profile

CSDB.GGJayFACEITLevel 10 · 2,598 ELOSTANDINGTop 12.4% of rankedPEAK ELO2,598csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim84
Positioning65
Utility58

0–100 skill scores via Leetify.

Recent form

HOT70–29–1Last 10070%Win rateTWWWWWWWLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating · −2.0pp headshot accuracy · −25ms 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

  • 4–0–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 21%
  • Avg reaction 480ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 527ms

Last 20

  • 15–4–1 · 75% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 539ms

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 (+1.5 against its own average).

Aim8.4
Utility5.8
Positioning6.5
Opening Duels4.7
Clutch3.0

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

Twistzz

Plays most like Twistzz 96% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Preaim. Mechanical aim is strong but the crosshair sits 12.2° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 560ms 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

Aim8.4
Positioning6.5
Utility5.8
Mechanics6.7
Opening Duels4.1
Win Impact10.0

Composite 7.2/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time554ms−43ms
first ⅓ avg 597ms → last ⅓ avg 554ms
Headshot accuracy25.6%+0.7%
first ⅓ avg 25.0% → last ⅓ avg 25.6%

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

0.17Best match rating · 13–9 · vertigo, 22 Dec →
53%Best headshot accuracy · 13–10 · train, 11 Dec →
391msFastest reaction time · 12–12 · office, 3 Nov →
13–1Biggest win · cache, 9 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
13–4In matches decided by ≤2 rounds
8Overtime games

Map breakdown

vertigoBest map · 100% over 5dust2Weakest map · 57% over 23
MapGradePlayedRecordWin rateAvg rating
dust2A2313–1057%0.00
mirageS2315–865%0.01
nukeS1712–571%0.01
infernoS86–275%-0.01
overpassS75–271%0.04
cacheA53–260%0.04
vertigoS55–0100%0.14
office—43–175%0.04
anubis—44–0100%0.04
train—33–0100%0.07
ancient—11–0100%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (57% over 23). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

116,989Lifetime kills
0.98K/D
4,421Matches
46.3%Match win rate
53.2%Headshot % · Top 50% of Level 10 players
9.5%Shot accuracy
13,139MVPs
3,428Hours (in match)
3,044Bombs planted
2,512Bombs defused

Most-used weapons

AK-4743,700
AWP11,992
MP91,971
Knife1,895
P901,712

Lifetime map wins

9,755dust2
5,849inferno
5,432nuke
1,264train
993vertigo
657lake
551cbble
420office

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

1,165Matches
53%Win rate
1.12Avg K/D
78.4ADR
53%Headshot %

Clutches & streaks

35%1v1 clutch win
20%1v2 clutch win
11Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage31650%1.0715.4
Dust218750%1.0715.1
Nuke13957%1.1815.8
Inferno11248%1.0815.7
Ancient7952%1.0517.1
Overpass6363%1.2516.1
Anubis4337%0.9515.9
Train2576%1.3317.0

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.

25.8%Headshot accuracy
39.4%Accuracy (enemy spotted)
43.4%Spray accuracy
80.2%Counter-strafing
12.2°Preaim
560msReaction time
49.0%T opening success
43.7%CT opening success
0.50Enemies flashed / flash
9.5%Flash assists
6.48HE damage / grenade
11.52Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.2228° — above the 12° mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4968 — below the 0.5 mark we flag

    Grenade Lineups →

Recent matches

MapScoreRatingHS%Date
office12–120.0214%3 Nov →
office13–11-0.0517%29 Oct →
cache13–40.0231%18 Oct →
anubis13–8-0.0123%18 Oct →
inferno9–40.0322%10 Oct →
train13–90.0536%10 Oct →
train13–60.1130%10 Oct →
dust213–70.0821%3 Oct →
dust24–130.0515%2 Oct →
mirage13–90.1033%24 Sept →
vertigo13–40.0619%24 Sept →
vertigo13–60.1627%24 Sept →
dust22–13-0.0529%10 Sept →
anubis13–10-0.0214%2 Sept →
inferno6–13-0.0626%2 Sept →
mirage13–7-0.0225%29 Aug →
nuke13–60.0237%29 Aug →
nuke11–130.0632%29 Aug →
dust213–110.0821%28 Aug →
dust216–130.0234%26 Aug →
cache13–110.0224%15 Aug →
mirage13–70.0219%15 Aug →
inferno13–60.0320%15 Aug →
mirage13–90.0436%9 Aug →
dust213–60.0127%7 Aug →
nuke17–19-0.0126%7 Aug →
dust213–11-0.0421%29 Jul →
dust213–90.0529%15 Jul →
cache11–130.0326%9 Jul →
cache13–10.1724%9 Jul →
nuke13–60.0136%6 Jul →
nuke13–20.0317%6 Jul →
cache7–13-0.0533%26 Jun →
dust29–13-0.0136%25 Jun →
dust210–13-0.0523%21 Jun →
dust213–100.0223%21 Jun →
nuke13–30.0114%21 Jun →
mirage13–60.0836%20 Jun →
inferno13–8-0.0419%17 Jun →
mirage13–110.0427%6 Jun →
dust213–10-0.0320%25 May →
mirage13–50.0827%25 May →
nuke13–9-0.0224%22 May →
dust21–13-0.0914%14 May →
mirage8–13-0.0016%12 May →
dust213–50.0130%10 May →
dust27–13-0.0628%10 May →
overpass13–90.0730%10 May →
dust213–10.1031%10 May →
mirage13–70.0528%9 May →
mirage4–13-0.0326%9 May →
nuke8–13-0.0133%6 May →
dust29–130.0137%30 Apr →
inferno9–13-0.0322%26 Apr →
overpass13–80.0321%26 Apr →
dust213–4-0.0119%26 Apr →
dust22–10.0113%26 Apr →
dust23–13-0.0324%25 Apr →
overpass13–100.0120%24 Apr →
dust213–10.0928%21 Apr →
mirage9–13-0.0711%21 Apr →
nuke13–7-0.0323%13 Apr →
mirage16–130.0030%10 Apr →
mirage9–130.0323%8 Apr →
mirage13–6-0.0319%7 Apr →
mirage13–16-0.0512%4 Apr →
nuke13–110.0618%10 Mar →
overpass10–130.0215%25 Feb →
nuke13–90.0722%25 Feb →
nuke9–13-0.0121%25 Feb →
vertigo13–50.1324%13 Feb →
vertigo13–80.1539%13 Feb →
anubis13–110.0425%10 Feb →
anubis13–50.1631%10 Feb →
mirage5–13-0.0320%10 Feb →
overpass5–13-0.0418%6 Feb →
nuke13–80.1438%2 Feb →
dust211–130.0333%2 Feb →
office13–40.1317%27 Jan →
office13–50.0734%27 Jan →
dust210–13-0.0918%26 Jan →
inferno13–110.0113%18 Jan →
mirage16–14-0.0226%17 Jan →
inferno13–9-0.0124%16 Jan →
mirage4–13-0.128%16 Jan →
mirage16–12-0.0023%16 Jan →
overpass13–50.0727%16 Jan →
nuke9–130.0033%12 Jan →
mirage16–140.0222%11 Jan →
nuke13–4-0.0325%8 Jan →
mirage13–20.0435%8 Jan →
mirage12–160.0121%4 Jan →
vertigo13–90.1723%22 Dec →
nuke13–11-0.0420%18 Dec →
ancient13–20.0234%11 Dec →
overpass13–40.0926%11 Dec →
train13–100.0553%11 Dec →
nuke13–60.0017%11 Dec →
mirage13–110.1223%11 Dec →
inferno13–7-0.0217%11 Dec →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.