jaexy

jaexy — CS2 Stats

EE76561198030193569[U:1:69927841]Steam profile ↗✓ No bans

912Tracked matches45%Win rate2020Tracked since
8,043Hours in CS17Hrs last 2 wks
CSDB Rating6.6 SolidSupport
Premier CS Rating21,485Top 50% of 209,427 CSDB-tracked playersPink band · top ~6.9% of ranked players (population est.)
CSDB Leaderboard#62802 of 257000 tracked
FaceitLevel 9Top 20.7% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Oct 2026 (3 days ago). 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: 21,485 +604 22 Feb – 21 Oct · 32 days played
19,39622,948peak 22,94822 Feb21 Oct
22,948Peak Premier in tracked matches
49Days played since 2026-02-22

Premier CS Rating

  • 1,463 below peak (22,948)
  • +310 over 30 days · steady
  • Next: Red band at 25,000 — 3,515 to go
  • Reached: Pink band · 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.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=14,654), 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 9 medianLevel 10 medianvs Level 10
Headshot rate40.3%48.2%50.9%10.7% short
Shot accuracy14.6%13.2%13.7%above
Kill/death ratio0.981.071.090.11 short
Match win rate45.2%46.9%48.4%3.2% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGjaexyFACEITLevel 9STANDINGTop 20.7% of rankedPREMIER21,485 · Pink bandcsdb.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

Aim78
Positioning59
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateWWWLWWWLLL

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · −5.9pp headshot accuracy · −6ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 528ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 524ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 527ms

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: Support — Utility contribution stands above the rest of this profile (+1.8 against its own average).

Aim7.8
Utility6.4
Positioning5.9
Opening Duels2.4
Clutch3.8

Strong 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

ZywOo

Plays most like ZywOo 91% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower aim profile; lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim7.8
Positioning5.9
Utility6.4
Mechanics8.0
Opening Duels4.8
Win Impact3.3

Composite 6.6/10 (Solid), 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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time540ms−58ms
first ⅓ avg 598ms → last ⅓ avg 540ms
Headshot accuracy12.9%−0.9%
first ⅓ avg 13.8% → last ⅓ avg 12.9%

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 · 13–4 · nuke, 8 Aug →
29%Best headshot accuracy · 7–13 · mirage, 17 Mar →
406msFastest reaction time · 3–13 · dust2, 3 Aug →
13–2Biggest win · mirage, 26 Apr →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
6–7In matches decided by ≤2 rounds
9Overtime games

Map breakdown

mirageBest map · 50% over 30dust2Weakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB3015–1550%0.00
anubisB2211–1150%0.01
infernoB2010–1050%0.01
cacheC94–544%-0.02
dust2D92–722%0.01
ancientC52–340%-0.00
nuke—31–233%0.03
overpass—21–150%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

82,826Lifetime kills
0.98K/D
4,419Matches
45.2%Match win rate
40.3%Headshot %
14.6%Shot accuracy · Top 50% of Level 9 players
9,934MVPs
2,094Hours (in match)
4,052Bombs planted
1,211Bombs defused

Most-used weapons

Lifetime map wins

8,143inferno
7,844dust2
1,635nuke
1,542train
1,351cbble
1,111vertigo
147office
128aztec

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

Faceit stats

Combat

1,179Matches
51%Win rate
0.94Avg K/D
87.1ADR
39%Headshot %

Clutches & streaks

39%1v1 clutch win
27%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2070%1.0616.6
Inferno2075%1.3718.4
Anubis1979%1.3617.7
Dust21354%1.4117.7
Ancient967%0.9216.0
Cache633%0.7512.8
Nuke450%1.0815.8
Vertigo3100%1.2113.3

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.

13.5%Headshot accuracy
35.5%Accuracy (enemy spotted)
36.1%Spray accuracy
85.9%Counter-strafing
8.2°Preaim
528msReaction time
47.5%T opening success
50.7%CT opening success
0.56Enemies flashed / flash
6.9%Flash assists
12.95HE damage / grenade
6.81Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.4896% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Dust 2

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 9 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–50.049%21 Oct →
inferno13–70.0718%21 Oct →
mirage13–5-0.038%21 Oct →
mirage5–13-0.0611%21 Oct →
mirage13–7-0.018%20 Oct →
anubis13–100.0919%19 Oct →
ancient13–80.0814%19 Oct →
ancient8–130.044%19 Oct →
inferno10–13-0.0616%18 Oct →
ancient2–13-0.057%18 Oct →
anubis10–130.0117%15 Oct →
anubis11–13-0.0611%15 Oct →
inferno16–120.0917%15 Oct →
ancient5–13-0.0122%14 Oct →
anubis15–150.0222%14 Oct →
cache13–100.0315%14 Oct →
mirage12–160.0819%14 Oct →
dust26–130.0528%14 Oct →
mirage8–3-0.0315%13 Oct →
mirage5–13-0.056%13 Oct →
anubis13–6-0.0611%12 Oct →
anubis13–50.0121%12 Oct →
nuke8–13-0.059%3 Oct →
mirage9–13-0.0410%30 Sept →
dust210–13-0.048%30 Sept →
cache13–16-0.0713%28 Sept →
mirage13–9-0.0112%28 Sept →
anubis7–13-0.026%28 Sept →
mirage13–110.0514%27 Sept →
anubis5–13-0.018%20 Sept →
mirage13–7-0.015%20 Sept →
dust21–13-0.0613%14 Sept →
mirage13–70.0310%14 Sept →
mirage13–5-0.0225%5 Sept →
cache13–11-0.0113%4 Sept →
mirage6–13-0.0314%30 Aug →
cache3–13-0.0123%30 Aug →
mirage13–80.0818%29 Aug →
anubis13–70.057%26 Aug →
mirage6–13-0.0518%23 Aug →
inferno13–10-0.0413%19 Aug →
anubis3–130.0225%18 Aug →
cache11–13-0.0212%17 Aug →
anubis13–9-0.016%14 Aug →
nuke13–40.1612%8 Aug →
inferno13–40.0218%8 Aug →
mirage11–13-0.0215%8 Aug →
dust213–70.0911%7 Aug →
inferno13–5-0.0019%7 Aug →
inferno14–160.0216%7 Aug →
anubis7–13-0.0316%3 Aug →
dust23–13-0.067%3 Aug →
mirage6–13-0.0218%3 Aug →
cache13–5-0.0512%22 Jul →
anubis7–130.0111%22 Jul →
ancient13–10-0.078%22 Jul →
anubis13–90.0513%21 Jul →
anubis10–13-0.0310%28 May →
inferno5–13-0.0320%28 May →
inferno13–80.1111%26 May →
cache8–13-0.0611%29 Apr →
cache3–13-0.026%29 Apr →
inferno13–16-0.039%28 Apr →
anubis13–11-0.0416%28 Apr →
mirage11–130.0418%27 Apr →
nuke7–13-0.0213%27 Apr →
inferno11–130.0319%27 Apr →
overpass11–130.0122%26 Apr →
inferno13–40.1416%26 Apr →
mirage13–20.0912%26 Apr →
mirage10–130.0114%20 Apr →
inferno7–1-0.047%20 Apr →
mirage7–13-0.0410%19 Apr →
dust28–13-0.0611%19 Apr →
inferno9–13-0.038%12 Apr →
mirage10–13-0.027%12 Apr →
anubis5–13-0.0313%12 Apr →
mirage7–130.0329%17 Mar →
inferno15–150.0219%14 Mar →
mirage16–140.0723%14 Mar →
mirage13–110.0310%13 Mar →
mirage7–13-0.0114%13 Mar →
inferno8–13-0.0518%13 Mar →
dust27–130.0210%12 Mar →
inferno8–13-0.0318%12 Mar →
overpass13–4-0.0513%10 Mar →
inferno11–20.0114%10 Mar →
anubis13–60.0111%9 Mar →
inferno13–100.0413%9 Mar →
anubis13–30.1318%9 Mar →
mirage5–13-0.0616%6 Mar →
dust213–80.0616%6 Mar →
mirage13–100.007%5 Mar →
anubis13–110.0212%5 Mar →
mirage13–10-0.0019%1 Mar →
inferno3–13-0.105%1 Mar →
dust27–130.0713%1 Mar →
anubis12–16-0.0212%23 Feb →
mirage13–40.0418%23 Feb →
anubis13–90.047%22 Feb →

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 →

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