Jetis kebab

Jetis kebab — CS2 Stats

TW76561199163412079[U:1:1203146351]Steam profile ↗✓ No bans

831Tracked matches48%Win rate2021Tracked since
1,227Hours in CS2Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
FaceitLevel 4 · 990 ELOTop 81.0% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 15,703 -3,427 25 Feb – 9 Jun · 24 days played
15,70319,130peak 19,13025 Feb9 Jun
19,471Peak Premier in tracked matches
990Highest Faceit ELO seen on CSDB
53Days played since 2026-02-24

Faceit ELO

  • At peak — 990
  • Next: Level 5 at 1,051 — 61 to go
  • Reached: Level 4 · Level 3 · Level 2

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 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate39.2%42.7%43.8%4.6% short
Shot accuracy7.6%11.2%12.0%4.4% short
Kill/death ratio1.000.991.02meets
Match win rate42.0%43.9%44.7%2.7% short

This profile matches the typical Level 5 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGJetis kebabFACEITLevel 4 · 990 ELOSTANDINGTop 81.0% of rankedPEAK ELO990csdb.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

Aim71
Positioning62
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY44–51–5Last 10044%Win rateLWWTLWWLWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −2.4pp headshot accuracy · −15ms reaction

Win rate up 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–2–1 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 9%
  • Avg reaction 484ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 538ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 545ms

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 (+1.6 against its own average).

Aim7.1
Utility6.0
Positioning6.2
Opening Duels2.9
Clutch3.2

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 87% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 557ms 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

Aim7.1
Positioning6.2
Utility6.0
Mechanics6.7
Opening Duels3.5
Win Impact4.4

Composite 5.5/10 (Solid), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time552ms−77ms
first ⅓ avg 629ms → last ⅓ avg 552ms
Headshot accuracy14.0%−0.0%
first ⅓ avg 14.0% → last ⅓ avg 14.0%

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

0.19Best match rating · 13–1 · cache, 23 May →
31%Best headshot accuracy · 6–13 · anubis, 29 May →
250msFastest reaction time · 0–3 · poseidon, 9 Jun →
13–0Biggest win · cache, 13 May →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–7In matches decided by ≤2 rounds
1Overtime games

Map breakdown

anubisBest map · 50% over 14ancientWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
nukeB2913–1645%0.00
mirageB157–847%-0.01
anubisB147–750%0.02
ancientC145–936%0.01
cacheB126–650%0.04
dust2C52–340%0.03
vertigo—41–325%0.04
overpass—43–175%0.03
poseidon—20–20%-0.21
alpine—10–10%-0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

36,996Lifetime kills
1.00K/D · Top 50% of Level 4 players
1,999Matches
42.0%Match win rate
39.2%Headshot %
7.6%Shot accuracy
6,074MVPs
935Hours (in match)
2,420Bombs planted
1,436Bombs defused

Most-used weapons

Lifetime map wins

2,801nuke
1,898vertigo
1,661inferno
1,077dust2
540train
504lake
136office
42ar_shoots

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

Faceit stats

Combat

91Matches
49%Win rate
1.04Avg K/D
75.7ADR
37%Headshot %

Clutches & streaks

36%1v1 clutch win
13%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage2335%1.0713.9
Ancient1963%1.0914.4
Nuke1958%1.0413.6
Inferno1354%1.0214.6
Dust2922%0.6810.3
Anubis425%0.8611.3
Train3100%1.9023.7
Overpass1100%0.829.0

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.

14.9%Headshot accuracy
34.3%Accuracy (enemy spotted)
35.8%Spray accuracy
80.4%Counter-strafing
8.5°Preaim
557msReaction time
40.2%T opening success
48.1%CT opening success
0.50Enemies flashed / flash
6.9%Flash assists
14.46HE damage / grenade
9.18Flashes / 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 14.8781% — 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 0.4958 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Ancient

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache4–13-0.017%3 Nov →
nuke13–9-0.028%2 Nov →
mirage13–60.047%2 Nov →
nuke12–120.1015%27 Oct →
vertigo8–13-0.069%21 Oct →
nuke13–60.0419%20 Oct →
nuke13–80.1112%20 Oct →
mirage2–13-0.150%17 Oct →
overpass9–60.0411%17 Oct →
anubis13–5-0.0320%17 Oct →
mirage5–13-0.026%16 Oct →
nuke7–13-0.079%15 Oct →
nuke11–130.0113%14 Oct →
nuke9–13-0.0317%14 Oct →
nuke13–60.0311%10 Oct →
ancient13–50.1013%24 Sept →
cache11–130.0820%25 Aug →
nuke13–70.0426%12 Aug →
cache7–13-0.0410%12 Aug →
nuke13–100.039%11 Aug →
overpass13–50.0119%8 Aug →
mirage13–70.0810%7 Aug →
poseidon0–3-0.190%9 Jun →
nuke10–13-0.0914%9 Jun →
mirage13–11-0.0413%9 Jun →
anubis6–130.0431%29 May →
ancient9–130.0215%25 May →
dust26–13-0.0228%23 May →
anubis8–130.0721%23 May →
cache13–10.1926%23 May →
vertigo9–130.0415%22 May →
vertigo13–50.1018%22 May →
anubis13–3-0.0114%20 May →
nuke9–13-0.0821%19 May →
anubis10–13-0.0213%19 May →
cache7–13-0.0310%19 May →
mirage13–6-0.019%17 May →
nuke7–13-0.0313%14 May →
anubis13–100.0113%14 May →
nuke7–130.0611%14 May →
cache13–80.0210%14 May →
cache13–50.049%13 May →
cache13–00.1223%13 May →
cache13–50.0611%13 May →
cache2–130.0320%13 May →
cache7–130.0310%29 Apr →
cache13–20.0013%29 Apr →
anubis3–130.016%28 Apr →
mirage9–130.0512%23 Apr →
nuke16–12-0.0619%22 Apr →
nuke9–70.1215%7 Apr →
ancient11–130.1114%3 Apr →
dust213–40.1814%30 Mar →
nuke9–40.1626%30 Mar →
nuke6–9-0.0111%27 Mar →
vertigo8–80.089%27 Mar →
anubis4–13-0.044%26 Mar →
ancient13–11-0.0111%26 Mar →
dust212–120.0617%25 Mar →
ancient11–13-0.0510%25 Mar →
anubis13–70.059%24 Mar →
nuke10–13-0.026%23 Mar →
anubis0–60.010%21 Mar →
nuke3–9-0.076%21 Mar →
ancient10–130.1413%19 Mar →
mirage5–13-0.057%19 Mar →
ancient13–10-0.078%19 Mar →
ancient13–3-0.0314%18 Mar →
mirage7–130.018%18 Mar →
anubis13–110.0914%18 Mar →
mirage13–3-0.0117%18 Mar →
dust28–13-0.0511%18 Mar →
overpass13–70.1117%17 Mar →
alpine12–12-0.0712%17 Mar →
mirage13–10-0.0710%17 Mar →
nuke13–60.0627%17 Mar →
mirage7–13-0.0118%15 Mar →
ancient13–60.0421%15 Mar →
ancient4–13-0.038%15 Mar →
mirage13–50.0414%15 Mar →
ancient10–13-0.024%15 Mar →
nuke13–50.0713%15 Mar →
ancient1–11-0.070%15 Mar →
mirage8–13-0.0419%14 Mar →
dust213–3-0.017%13 Mar →
anubis10–13-0.0111%13 Mar →
nuke11–13-0.1018%12 Mar →
ancient11–13-0.0413%8 Mar →
anubis13–80.1019%8 Mar →
ancient11–13-0.009%7 Mar →
nuke13–90.0528%7 Mar →
overpass6–13-0.0315%3 Mar →
nuke8–8-0.0713%2 Mar →
poseidon3–9-0.238%2 Mar →
mirage10–130.0919%26 Feb →
nuke10–13-0.0623%25 Feb →
nuke13–4-0.0413%25 Feb →
anubis13–100.0717%25 Feb →
nuke8–13-0.048%25 Feb →
nuke9–13-0.0515%24 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 →

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