Jevty

Jevty — CS2 Stats

AU76561198797666568[U:1:837400840]Steam profile ↗✓ No bans

786Tracked matches61%Win rate2025Tracked since
762Hours in CS22Hrs last 2 wks
CSDB Rating5.4 DevelopingClutch Specialist
Premier CS Rating16,340Purple band · top ~23.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+352Premier CS Rating · 15,988 → 16,340

Rating over time

Premier CS Rating: 16,340 +2,194 5 Aug – 8 Oct · 37 days played
12,63316,340peak 16,3405 Aug8 Oct
16,340Peak Premier in tracked matches
695Highest Faceit ELO seen on CSDB
38Days played since 2026-08-05

Faceit ELO

  • At peak — 695
  • Next: Level 3 at 751 — 56 to go
  • Reached: Level 2

Premier CS Rating

  • At peak — 16,340
  • +2,084 over 30 days · improving
  • Next: Pink band at 20,000 — 3,660 to go
  • Reached: 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches60——
Win rate53%——
K/D0.94——
Headshot %67%——

Measured 9 Sep 2026 → 8 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate52.4%44.3%46.9%above
Shot accuracy0.7%11.9%13.0%12.3% short
Kill/death ratio0.791.031.080.29 short
Match win rate39.6%45.2%46.7%7.1% short

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

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJevtyPREMIER16,340 · Purple bandPEAK ELO695csdb.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

Aim48
Positioning58
Utility36

0–100 skill scores via Leetify.

Recent form

HOT48–46–6Last 10048%Win rateWLWWWLWWLW

Last 10 vs previous 10: +10pp win rate · −0.01 avg rating · −0.1pp headshot accuracy · +66ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 553ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 611ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 578ms

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 (+3.8 against its own average).

Aim4.8
Utility3.6
Positioning5.8
Opening Duels3.7
Clutch9.4

Limited utility dependenceReliable in 1v1s

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

donk

Plays most like donk 80% 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

Strengths

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

CT openings. Opening success drops from 64% on T to 42% on CT — first contacts on the defending side are being lost.

Reaction time. 593ms 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

Aim4.8
Positioning5.8
Utility3.6
Mechanics5.4
Opening Duels5.7
Win Impact8.6

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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time590ms−32ms
first ⅓ avg 622ms → last ⅓ avg 590ms
Headshot accuracy20.3%+4.6%
first ⅓ avg 15.7% → last ⅓ avg 20.3%

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

0.09Best match rating · 9–7 · inferno, 17 Sept →
45%Best headshot accuracy · 4–13 · dust2, 5 Aug →
422msFastest reaction time · 5–13 · dust2, 8 Sept →
13–1Biggest win · anubis, 9 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 70% over 10nukeWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
mirageC2712–1544%-0.02
nukeD165–1131%-0.03
dust2D155–1033%-0.03
cacheB137–654%-0.02
infernoB126–650%-0.02
ancientS107–370%0.01
anubis—43–175%-0.01
office—22–0100%-0.00
vertigo—11–0100%-0.09

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,551Lifetime kills
0.79K/D
1,115Matches
39.6%Match win rate
52.4%Headshot % · Top 25% of Purple band
0.7%Shot accuracy
1,838MVPs
765Hours (in match)
1,032Bombs planted
344Bombs defused

Most-used weapons

Lifetime map wins

1,840dust2
1,193nuke
916inferno
308train
169vertigo
77office

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

Faceit stats

Combat

49Matches
31%Win rate
0.61Avg K/D
57.9ADR
47%Headshot %

Clutches & streaks

67%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2030%0.609.1
Ancient933%0.599.6
Dust2933%0.7611.6
Inferno540%0.6810.2
Nuke30%0.335.7
Anubis250%0.547.0
Vertigo10%0.4310.0

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.

20.5%Headshot accuracy
27.3%Accuracy (enemy spotted)
29.5%Spray accuracy
74.3%Counter-strafing
10.8°Preaim
593msReaction time
63.8%T opening success
41.7%CT opening success
0.46Enemies flashed / flash
6.1%Flash assists
8.90HE damage / grenade
4.11Flashes / 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. 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 0.4606 — 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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache16–140.0020%8 Oct →
mirage14–16-0.0613%7 Oct →
dust213–8-0.0714%7 Oct →
cache13–8-0.0524%4 Oct →
cache13–30.0322%4 Oct →
dust28–13-0.0413%2 Oct →
nuke13–30.0329%2 Oct →
mirage13–7-0.0121%2 Oct →
dust211–13-0.0036%2 Oct →
anubis13–11-0.0723%30 Sept →
inferno8–13-0.1018%29 Sept →
dust212–16-0.0226%28 Sept →
ancient13–6-0.0124%28 Sept →
ancient13–70.0719%28 Sept →
nuke13–70.0316%27 Sept →
dust213–10-0.0134%27 Sept →
ancient13–7-0.0417%26 Sept →
nuke13–10-0.0318%26 Sept →
inferno10–13-0.0119%25 Sept →
mirage15–15-0.0324%25 Sept →
mirage13–7-0.0319%25 Sept →
nuke15–150.0122%24 Sept →
mirage9–130.0122%23 Sept →
mirage13–90.0228%23 Sept →
vertigo13–5-0.0913%23 Sept →
mirage10–13-0.0525%20 Sept →
cache10–13-0.0215%20 Sept →
mirage13–110.003%19 Sept →
nuke14–16-0.0120%19 Sept →
mirage10–13-0.0318%18 Sept →
inferno11–13-0.0328%18 Sept →
inferno12–12-0.0618%18 Sept →
mirage8–13-0.0111%17 Sept →
nuke13–11-0.0411%17 Sept →
inferno9–70.0929%17 Sept →
inferno9–60.0216%17 Sept →
cache2–13-0.0114%17 Sept →
cache9–13-0.0619%17 Sept →
mirage5–13-0.0229%11 Sept →
cache7–13-0.0625%9 Sept →
anubis13–10.0416%9 Sept →
dust25–13-0.0913%8 Sept →
anubis13–80.0318%7 Sept →
nuke6–13-0.0310%5 Sept →
mirage13–8-0.0430%5 Sept →
cache13–4-0.0017%5 Sept →
nuke13–16-0.0426%4 Sept →
dust211–13-0.0416%4 Sept →
cache13–40.0112%3 Sept →
ancient13–50.0020%3 Sept →
nuke14–16-0.0120%2 Sept →
mirage11–13-0.0214%2 Sept →
office9–3-0.0012%2 Sept →
office13–4-0.0011%2 Sept →
ancient13–110.0314%1 Sept →
cache8–13-0.0117%1 Sept →
cache11–13-0.039%1 Sept →
ancient10–130.0410%1 Sept →
ancient9–13-0.1017%31 Aug →
inferno13–40.0215%31 Aug →
mirage16–12-0.0321%30 Aug →
nuke9–13-0.0417%29 Aug →
inferno13–10-0.0310%26 Aug →
cache13–6-0.0221%26 Aug →
mirage8–13-0.0320%24 Aug →
nuke8–13-0.0226%24 Aug →
inferno13–8-0.0215%24 Aug →
mirage10–13-0.015%24 Aug →
nuke3–13-0.0323%24 Aug →
nuke2–9-0.198%15 Aug →
inferno9–13-0.0417%15 Aug →
mirage10–13-0.0117%15 Aug →
dust213–50.0414%13 Aug →
nuke11–13-0.0225%13 Aug →
dust215–15-0.0321%13 Aug →
mirage10–130.0010%12 Aug →
inferno0–130.0023%12 Aug →
dust213–11-0.0316%12 Aug →
mirage6–13-0.108%12 Aug →
mirage13–10.0516%10 Aug →
ancient15–15-0.0014%10 Aug →
dust210–13-0.0711%10 Aug →
ancient13–10.0815%10 Aug →
nuke15–15-0.0515%9 Aug →
cache13–8-0.0223%9 Aug →
mirage5–13-0.0618%9 Aug →
ancient13–70.0618%9 Aug →
dust211–13-0.0313%8 Aug →
mirage16–140.0220%8 Aug →
mirage8–13-0.079%8 Aug →
mirage13–1-0.0115%8 Aug →
dust28–13-0.059%7 Aug →
mirage13–100.0517%7 Aug →
mirage13–3-0.0820%7 Aug →
nuke13–4-0.009%7 Aug →
mirage13–7-0.056%7 Aug →
anubis10–13-0.0413%7 Aug →
inferno13–7-0.0410%5 Aug →
dust24–13-0.0445%5 Aug →
dust213–110.0014%5 Aug →

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 →

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