AWD JEHU®

AWD JEHU® — CS2 Stats

FI76561198935770593[U:1:975504865]Steam profile ↗✓ No bans

1,025Tracked matches33%Win rate2020Tracked since
3,593Hours in CS8Hrs last 2 wks
CSDB Rating4.2 DevelopingClutch Specialist
Premier CS Rating4,640Grey band · top ~80.3% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 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: 4,640 +1,641 6 Jul – 4 Nov · 21 days played
2,9996,766peak 6,7666 Jul4 Nov
6,766Peak Premier in tracked matches
42Days played since 2026-07-01

Premier CS Rating

  • 2,126 below peak (6,766)
  • +229 over 30 days · steady
  • -1,654 over 90 days
  • Next: Light Blue band at 5,000 — 360 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-20

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 3 among CSDB-tracked players (n=10,505), 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 3 medianLevel 4 medianvs Level 4
Headshot rate37.2%41.8%42.7%5.5% short
Shot accuracy16.3%12.2%11.2%above
Kill/death ratio0.890.980.990.11 short
Match win rate30.9%43.3%43.9%13.0% short

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

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAWD JEHU®FACEITLevel 3STANDINGTop 90.6% of rankedPREMIER4,640 · Grey 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

Aim61
Positioning43
Utility31

0–100 skill scores via Leetify.

Recent form

COLD39–55–6Last 10039%Win rateLLWLLWLLLL

Last 10 vs previous 10: −20pp win rate · +0.02 avg rating · −4.8pp headshot accuracy · −36ms reaction

Win rate down 20pp 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 (+0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 7%
  • Avg reaction 770ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 7%
  • Avg reaction 725ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 743ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.3 against its own average).

Aim6.1
Utility3.1
Positioning4.3
Opening Duels1.6
Clutch6.0

Limited 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

b1t

Plays most like b1t 96% playstyle similarity

Most alike: positioning profile, utility contribution.

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

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

Reaction time. 722ms 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

Aim6.1
Positioning4.3
Utility3.1
Mechanics8.1
Opening Duels3.1
Win Impact0.0

Composite 4.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.02
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time732ms+34ms
first ⅓ avg 698ms → last ⅓ avg 732ms
Headshot accuracy10.5%−3.8%
first ⅓ avg 14.3% → 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

0.16Best match rating · 13–3 · overpass, 6 Jul →
29%Best headshot accuracy · 13–6 · cache, 25 Jul →
500msFastest reaction time · 10–13 · inferno, 20 Oct →
13–1Biggest win · nuke, 28 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
5–8In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 58% over 12nukeWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
cacheD165–1131%-0.04
infernoC166–1038%-0.05
ancientB136–746%-0.04
dust2A127–558%-0.03
nukeD103–730%-0.03
anubisD103–730%-0.04
mirageD103–730%-0.06
officeD62–433%-0.04
overpass—42–250%-0.04
vertigo—21–150%0.01
train—11–0100%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

81,561Lifetime kills
0.89K/D
5,074Matches
30.9%Match win rate
37.2%Headshot %
16.3%Shot accuracy · Top 25% of Level 3 players
6,168MVPs
1,818Hours (in match)
3,002Bombs planted
629Bombs defused

Most-used weapons

AK-4723,963
SG 5536,524
AWP4,414
AUG3,267
FAMAS2,440

Lifetime map wins

5,950inferno
4,624nuke
3,689dust2
2,951train
1,566vertigo
359office
65lake
51cbble

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

Faceit stats

Combat

33Matches
36%Win rate
0.82Avg K/D
59.1ADR
35%Headshot %

Clutches & streaks

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

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno475%1.3514.5
Nuke333%0.7711.0
Ancient333%0.9314.7
Mirage250%1.0617.5
Vertigo10%0.8214.0
Anubis10%1.0619.0

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.

9.6%Headshot accuracy
40.1%Accuracy (enemy spotted)
40.0%Spray accuracy
86.3%Counter-strafing
10.2°Preaim
722msReaction time
43.3%T opening success
41.9%CT opening success
0.45Enemies flashed / flash
2.4%Flash assists
7.07HE damage / grenade
3.01Flashes / 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 9.5975% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 721.5794ms — above the 700ms mark we flag

    Aim Training →
  3. 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 0.4539 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Nuke

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–13-0.048%4 Nov →
cache10–13-0.038%4 Nov →
inferno13–7-0.033%3 Nov →
nuke7–13-0.049%2 Nov →
anubis3–13-0.028%2 Nov →
mirage13–10-0.045%28 Oct →
cache6–13-0.044%28 Oct →
mirage3–13-0.087%27 Oct →
cache11–13-0.057%27 Oct →
ancient10–130.0213%27 Oct →
ancient13–3-0.039%22 Oct →
inferno3–13-0.049%21 Oct →
dust211–13-0.093%21 Oct →
inferno10–13-0.0919%20 Oct →
cache6–13-0.0616%20 Oct →
dust213–10-0.0118%20 Oct →
anubis7–13-0.0616%18 Oct →
overpass4–13-0.135%18 Oct →
dust213–10-0.0220%18 Oct →
dust213–70.016%13 Oct →
cache4–13-0.0720%1 Oct →
mirage13–110.035%29 Sept →
dust24–130.0513%29 Sept →
ancient9–13-0.0311%28 Aug →
nuke13–10.0611%28 Aug →
nuke13–90.0111%26 Aug →
nuke10–13-0.055%26 Aug →
dust29–13-0.059%26 Aug →
inferno6–13-0.076%26 Aug →
inferno13–9-0.023%23 Aug →
nuke11–13-0.0717%23 Aug →
cache5–13-0.0518%21 Aug →
inferno9–13-0.0421%21 Aug →
ancient13–9-0.034%21 Aug →
ancient6–13-0.012%21 Aug →
anubis8–130.037%17 Aug →
office4–130.0111%17 Aug →
dust213–8-0.0214%16 Aug →
ancient12–16-0.0716%16 Aug →
dust213–8-0.049%16 Aug →
overpass13–1-0.0817%13 Aug →
mirage12–12-0.068%13 Aug →
cache5–13-0.0815%7 Aug →
anubis13–9-0.1013%6 Aug →
nuke10–13-0.0112%6 Aug →
inferno13–8-0.0317%6 Aug →
cache5–13-0.0210%6 Aug →
inferno1–13-0.0812%5 Aug →
office12–12-0.079%5 Aug →
ancient13–8-0.0314%4 Aug →
inferno10–13-0.017%4 Aug →
cache9–13-0.075%3 Aug →
inferno13–11-0.0212%3 Aug →
inferno13–5-0.055%3 Aug →
office12–12-0.079%3 Aug →
vertigo12–12-0.0112%3 Aug →
mirage11–130.021%3 Aug →
nuke13–11-0.087%2 Aug →
train13–110.018%31 Jul →
inferno13–10.065%31 Jul →
dust27–13-0.0711%29 Jul →
cache11–130.0113%29 Jul →
cache13–6-0.0129%25 Jul →
anubis11–13-0.0111%25 Jul →
office13–10-0.0119%25 Jul →
ancient13–9-0.075%24 Jul →
mirage3–13-0.0419%24 Jul →
ancient13–11-0.127%24 Jul →
cache13–10-0.0618%24 Jul →
anubis13–100.0121%24 Jul →
overpass2–13-0.1017%23 Jul →
cache13–10-0.0018%23 Jul →
ancient7–13-0.0821%23 Jul →
anubis15–15-0.047%22 Jul →
inferno4–13-0.1513%20 Jul →
mirage13–5-0.0912%20 Jul →
nuke5–13-0.0522%19 Jul →
ancient13–6-0.0316%19 Jul →
anubis13–6-0.0312%19 Jul →
inferno9–13-0.0114%17 Jul →
mirage1–13-0.0813%13 Jul →
mirage5–13-0.128%9 Jul →
ancient15–15-0.059%9 Jul →
nuke12–16-0.0717%9 Jul →
cache13–8-0.0611%9 Jul →
cache13–10-0.0224%9 Jul →
inferno8–13-0.0718%8 Jul →
anubis2–13-0.0810%7 Jul →
overpass13–30.1611%6 Jul →
dust213–40.0417%6 Jul →
ancient8–130.008%6 Jul →
nuke6–13-0.0521%5 Jul →
dust213–6-0.066%5 Jul →
office13–5-0.076%5 Jul →
mirage5–13-0.1021%5 Jul →
inferno9–13-0.088%5 Jul →
vertigo13–80.0220%2 Jul →
office11–13-0.0521%2 Jul →
anubis3–13-0.135%1 Jul →
cache6–13-0.0821%1 Jul →

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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