jeyd

jeyd — CS2 Stats

DE76561198155746212[U:1:195480484]Steam profile ↗✓ No bans

1,944Tracked matches50%Win rate2020Tracked since
9,930Hours in CS23Hrs last 2 wks
CSDB Rating5.4 DevelopingSupport
Premier CS Rating19,869Top 50% of 211,827 CSDB-tracked playersPurple band · top ~9% of ranked players (population est.)
CSDB Leaderboard#88235 of 258879 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (13 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: 19,869 +3,072 18 Aug – 17 Oct · 15 days played
16,35721,367peak 21,36718 Aug17 Oct
21,367Peak Premier in tracked matches
27Days played since 2026-08-18

Premier CS Rating

  • 1,498 below peak (21,367)
  • -777 over 30 days · declining
  • Next: Pink band at 20,000 — 131 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-08-28

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 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate41.9%43.8%44.8%2.9% short
Shot accuracy11.9%12.0%12.4%0.6% short
Kill/death ratio1.001.021.030.04 short
Match win rate35.1%44.7%45.2%10.1% short

This profile sits below the typical Level 6 player on every metric we can compare.

Widest gap: Match win rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGjeydFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER19,869 · Purple 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

Aim69
Positioning49
Utility51

0–100 skill scores via Leetify.

Recent form

COLD52–44–4Last 10052%Win rateLLTLWWLWLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +0.0pp headshot accuracy · −5ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 11%
  • Avg reaction 548ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 10%
  • Avg reaction 531ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 10%
  • Avg reaction 534ms

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 (+1.2 against its own average).

Aim6.9
Utility5.1
Positioning4.9
Opening Duels1.7
Clutch4.0

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

iM

Plays most like iM 90% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower aim profile.

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

CSDB Rating breakdown

Aim6.9
Positioning4.9
Utility5.1
Mechanics5.9
Opening Duels1.5
Win Impact5.0

Composite 5.4/10 (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-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time542ms+19ms
first ⅓ avg 523ms → last ⅓ avg 542ms
Headshot accuracy10.5%−2.2%
first ⅓ avg 12.7% → last ⅓ avg 10.5%

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

0.11Best match rating · 13–6 · inferno, 25 Aug →
28%Best headshot accuracy · 13–5 · dust2, 1 Sept →
344msFastest reaction time · 8–0 · inferno, 25 Aug →
13–1Biggest win · cache, 3 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
9–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 89% over 9mirageWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
cacheC208–1240%0.01
infernoB168–850%-0.00
dust2B147–750%-0.02
anubisS107–370%0.02
ancientS98–189%-0.01
mirageD93–633%-0.02
shelterS54–180%0.04
nuke—42–250%-0.02
office—30–30%-0.03
boulder—32–167%-0.01
vertigo—31–233%-0.03
fachwerk—21–150%0.03
timber—10–10%-0.06
italy—11–0100%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

174,300Lifetime kills
1.00K/D
9,635Matches
35.1%Match win rate
41.9%Headshot %
11.9%Shot accuracy
16,910MVPs
3,400Hours (in match)
10,353Bombs planted
1,452Bombs defused

Most-used weapons

AK-4776,874
AWP13,920
UMP-453,995
MAC-103,553
MP93,062
P2502,674

Lifetime map wins

8,385inferno
5,283dust2
3,943nuke
3,537vertigo
3,415cbble
3,315train
1,641office
588italy

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

Faceit stats

Combat

430Matches
49%Win rate
0.91Avg K/D
78.8ADR
33%Headshot %

Clutches & streaks

40%1v1 clutch win
22%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient1861%0.9113.6
Inferno1553%1.0614.7
Dust21443%1.0817.0
Anubis1267%1.1816.4
Mirage850%0.9514.0
Vertigo862%1.0618.3
Cache729%0.9914.4
Nuke771%1.3015.9

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.

10.7%Headshot accuracy
36.7%Accuracy (enemy spotted)
40.0%Spray accuracy
76.7%Counter-strafing
9.2°Preaim
539msReaction time
32.4%T opening success
39.3%CT opening success
0.45Enemies flashed / flash
5.8%Flash assists
9.35HE damage / grenade
10.03Flashes / 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 10.7069% — below the 15% 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 0.4493 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 32.358% — below the 40% mark we flag

Spend your practice time on Mirage

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
office5–13-0.049%29 Oct →
cache7–130.028%26 Oct →
cache12–120.0313%24 Oct →
cache8–13-0.0112%24 Oct →
inferno13–6-0.0316%20 Oct →
anubis13–20.085%17 Oct →
inferno2–13-0.0611%17 Oct →
ancient13–5-0.024%16 Oct →
dust26–13-0.043%16 Oct →
anubis11–130.0422%16 Oct →
boulder13–50.015%12 Oct →
cache5–130.039%1 Oct →
vertigo4–13-0.059%24 Sept →
inferno16–14-0.028%23 Sept →
mirage1–3-0.120%23 Sept →
timber5–13-0.0615%18 Sept →
anubis13–60.0418%18 Sept →
anubis13–5-0.0020%18 Sept →
shelter9–13-0.016%18 Sept →
fachwerk12–12-0.0012%18 Sept →
vertigo13–11-0.066%9 Sept →
mirage5–13-0.0713%8 Sept →
mirage13–110.0413%8 Sept →
shelter13–100.0814%8 Sept →
cache5–130.078%5 Sept →
cache13–11-0.036%5 Sept →
cache13–7-0.079%4 Sept →
cache13–30.0113%4 Sept →
cache5–13-0.0825%4 Sept →
cache13–40.014%4 Sept →
anubis6–130.008%4 Sept →
nuke13–16-0.029%4 Sept →
ancient13–80.0216%3 Sept →
dust22–13-0.1112%3 Sept →
dust213–50.0015%3 Sept →
cache5–130.0710%3 Sept →
ancient13–50.0211%3 Sept →
cache7–13-0.045%3 Sept →
cache13–1-0.0310%3 Sept →
office10–13-0.0215%3 Sept →
office12–12-0.0210%2 Sept →
inferno7–13-0.0123%2 Sept →
inferno10–130.009%2 Sept →
cache10–20.0617%2 Sept →
cache8–13-0.0118%2 Sept →
ancient13–7-0.0515%1 Sept →
inferno16–13-0.038%1 Sept →
ancient13–110.0315%1 Sept →
dust213–50.0028%1 Sept →
cache13–70.067%1 Sept →
vertigo10–130.0219%30 Aug →
boulder13–80.0117%30 Aug →
dust213–10-0.0210%29 Aug →
dust28–13-0.0319%29 Aug →
boulder1–13-0.0516%27 Aug →
fachwerk13–50.0619%27 Aug →
ancient13–80.017%27 Aug →
shelter13–110.0510%27 Aug →
mirage10–13-0.0424%27 Aug →
cache13–30.0719%27 Aug →
dust28–13-0.0415%26 Aug →
inferno11–13-0.0414%26 Aug →
dust24–13-0.059%26 Aug →
anubis13–40.0214%26 Aug →
dust213–70.0515%26 Aug →
nuke13–110.007%26 Aug →
cache6–130.0110%26 Aug →
inferno13–4-0.0013%25 Aug →
dust213–4-0.0218%25 Aug →
inferno13–11-0.0010%25 Aug →
inferno13–60.1113%25 Aug →
cache6–13-0.0211%25 Aug →
anubis13–90.009%25 Aug →
inferno13–40.0412%25 Aug →
nuke11–13-0.0713%25 Aug →
ancient13–90.0122%25 Aug →
anubis13–20.069%25 Aug →
ancient13–3-0.042%25 Aug →
inferno8–00.0617%25 Aug →
anubis13–110.007%25 Aug →
shelter13–30.0420%22 Aug →
ancient8–13-0.0518%22 Aug →
nuke13–5-0.018%20 Aug →
mirage13–80.0413%20 Aug →
dust29–30.039%20 Aug →
anubis2–13-0.0911%20 Aug →
mirage4–130.0415%20 Aug →
inferno2–13-0.0612%20 Aug →
italy13–90.077%20 Aug →
shelter13–50.0214%20 Aug →
cache11–13-0.0516%19 Aug →
mirage9–13-0.0311%18 Aug →
dust213–30.099%18 Aug →
dust22–13-0.0621%18 Aug →
inferno12–16-0.0211%18 Aug →
inferno8–13-0.0110%18 Aug →
inferno10–130.0021%18 Aug →
dust215–15-0.0611%18 Aug →
mirage3–13-0.0318%18 Aug →
mirage13–5-0.047%18 Aug →

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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