Kebab

Kebab — CS2 Stats

FI76561198072574102[U:1:112308374]Steam profile ↗✓ No bans

1,034Tracked matches43%Win rate2020Tracked since
2,404Hours in CS
CSDB Rating5.6 SolidPositional Player
Premier CS Rating17,517Purple band · top ~18.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 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: 17,517 -1,259 1 Sept – 3 Nov · 28 days played
16,44619,597peak 19,5971 Sept3 Nov
Faceit ELO: 1,130 +0 1 Sept – 11 Sept · 3 observations
1,1301,130peak 1,1301 Sept11 Sept
19,853Peak Premier in tracked matches
1,130Highest Faceit ELO seen on CSDB
25Days played since 2026-09-01

Premier CS Rating

  • 2,080 below peak (19,597)
  • -1,624 over 30 days · declining
  • Next: Pink band at 20,000 — 2,483 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-01
  • Blue band first seen 2026-09-01

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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 rate37.5%44.4%46.9%9.4% short
Shot accuracy14.4%11.9%13.0%above
Kill/death ratio0.971.031.080.11 short
Match win rate44.9%45.2%46.7%1.8% short

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

Widest gap: Headshot rate. 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.GGKebabPREMIER17,517 · Purple bandPEAK ELO1,130csdb.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

Aim70
Positioning66
Utility29

0–100 skill scores via Leetify.

Recent form

COLD44–54–2Last 10044%Win rateLWLLLWWLLL

Last 10 vs previous 10: −30pp win rate · −0.01 avg rating · +0.1pp headshot accuracy · −24ms reaction

Win rate down 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 581ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 555ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 15%
  • Avg reaction 567ms

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 (+1.7 against its own average).

Aim7.0
Utility2.9
Positioning6.6
Opening Duels5.1
Clutch5.0

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

s1mple

Plays most like s1mple 84% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 602ms 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

Aim7.0
Positioning6.6
Utility2.9
Mechanics5.8
Opening Duels6.2
Win Impact2.6

Composite 5.6/10 (Solid), 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-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time614ms−10ms
first ⅓ avg 624ms → last ⅓ avg 614ms
Headshot accuracy16.3%−0.6%
first ⅓ avg 16.9% → last ⅓ avg 16.3%

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

0.26Best match rating · 13–3 · dust2, 4 Oct →
44%Best headshot accuracy · 9–13 · cache, 24 Sept →
406msFastest reaction time · 9–13 · inferno, 4 Oct →
13–0Biggest win · ancient, 30 Sept →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 60% over 10dust2Weakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
nukeB2110–1148%-0.02
infernoD186–1233%0.00
anubisB136–746%0.01
dust2D134–931%0.01
cacheB126–650%-0.01
mirageB126–650%0.01
ancientA106–460%0.02
train—10–10%0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

105,076Lifetime kills
0.97K/D
5,482Matches
44.9%Match win rate
37.5%Headshot %
14.4%Shot accuracy · Top 50% of Purple band
13,786MVPs
2,404Hours (in match)
6,488Bombs planted
1,296Bombs defused

Most-used weapons

AK-4727,788
AWP17,795
Tec-92,569
P902,169
SSG 081,741

Lifetime map wins

11,608dust2
7,976inferno
4,786nuke
1,820train
933cbble
758vertigo
292office
229aztec

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

Faceit stats

Combat

215Matches
57%Win rate
1.23Avg K/D
89.7ADR
36%Headshot %

Clutches & streaks

45%1v1 clutch win
31%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2241%0.9715.9
Nuke2167%1.1117.1
Dust22050%1.4119.2
Inferno2060%1.3320.0
Anubis956%1.1718.8
Ancient757%1.3120.7
Cache617%1.0913.7
Train450%0.9817.0

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.

16.0%Headshot accuracy
39.1%Accuracy (enemy spotted)
42.8%Spray accuracy
76.0%Counter-strafing
11.2°Preaim
602msReaction time
56.5%T opening success
53.3%CT opening success
0.29Enemies flashed / flash
5.6%Flash assists
9.81HE damage / grenade
2.72Flashes / 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 0.2909 — below the 0.5 mark we flag

    Grenade Lineups →
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.

31% win rate across 13 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
ancient11–130.0110%3 Nov →
ancient16–140.0822%2 Nov →
anubis7–130.0017%2 Nov →
dust211–13-0.0415%28 Oct →
train1–130.0227%28 Oct →
dust216–140.0114%28 Oct →
nuke13–7-0.0410%28 Oct →
cache3–13-0.0219%28 Oct →
mirage8–13-0.076%28 Oct →
inferno9–130.0514%28 Oct →
cache13–70.0213%28 Oct →
nuke11–130.0114%26 Oct →
cache6–13-0.038%25 Oct →
mirage11–130.0211%25 Oct →
nuke13–9-0.0210%25 Oct →
inferno13–60.089%25 Oct →
mirage13–90.0420%24 Oct →
inferno13–10-0.0129%24 Oct →
nuke13–11-0.0324%23 Oct →
cache7–13-0.0013%23 Oct →
inferno13–60.0017%12 Oct →
inferno11–130.0723%11 Oct →
inferno8–130.0012%11 Oct →
cache15–15-0.0214%10 Oct →
nuke11–13-0.0321%10 Oct →
dust28–130.0220%10 Oct →
nuke13–40.0726%10 Oct →
dust27–13-0.029%10 Oct →
nuke15–15-0.1218%9 Oct →
nuke13–6-0.0617%9 Oct →
inferno6–13-0.1132%9 Oct →
ancient10–130.0010%9 Oct →
cache13–40.0514%9 Oct →
mirage13–70.0522%9 Oct →
mirage7–13-0.0316%9 Oct →
cache13–70.017%9 Oct →
mirage8–13-0.0112%9 Oct →
cache13–110.0117%8 Oct →
anubis8–130.027%7 Oct →
ancient13–9-0.0026%6 Oct →
nuke10–13-0.0019%6 Oct →
inferno13–110.0515%6 Oct →
anubis13–7-0.0111%6 Oct →
dust23–13-0.0917%5 Oct →
cache2–13-0.0719%5 Oct →
mirage16–14-0.009%5 Oct →
cache13–100.0113%5 Oct →
dust27–13-0.0318%5 Oct →
anubis13–8-0.0127%5 Oct →
dust26–13-0.0321%5 Oct →
anubis10–13-0.0220%5 Oct →
nuke13–80.1523%5 Oct →
anubis4–13-0.0416%5 Oct →
dust29–130.0722%5 Oct →
anubis11–130.1218%4 Oct →
dust213–30.2630%4 Oct →
inferno9–13-0.027%4 Oct →
nuke13–11-0.0212%4 Oct →
dust27–13-0.1227%3 Oct →
inferno13–16-0.0718%3 Oct →
mirage13–11-0.0411%3 Oct →
ancient13–80.0318%3 Oct →
nuke13–16-0.0331%2 Oct →
ancient2–13-0.0611%2 Oct →
nuke3–13-0.0818%1 Oct →
nuke5–13-0.089%1 Oct →
nuke13–70.1016%1 Oct →
anubis4–130.0518%1 Oct →
inferno13–100.0310%1 Oct →
anubis6–13-0.0418%1 Oct →
inferno13–60.0022%1 Oct →
nuke13–11-0.069%30 Sept →
ancient13–00.0610%30 Sept →
anubis13–80.0510%30 Sept →
ancient13–70.0810%29 Sept →
cache13–40.0414%29 Sept →
mirage13–80.0813%29 Sept →
inferno2–13-0.0721%29 Sept →
inferno9–13-0.0117%29 Sept →
anubis13–11-0.0311%28 Sept →
ancient8–130.0712%28 Sept →
dust213–30.1611%28 Sept →
mirage13–70.0315%28 Sept →
inferno10–130.0125%27 Sept →
mirage6–130.0427%26 Sept →
nuke4–13-0.1114%26 Sept →
ancient13–10-0.0221%26 Sept →
anubis13–50.0710%26 Sept →
inferno9–13-0.0213%26 Sept →
anubis13–3-0.077%26 Sept →
inferno9–130.029%26 Sept →
nuke6–130.0214%26 Sept →
dust213–4-0.0220%26 Sept →
nuke11–130.0323%26 Sept →
cache9–13-0.1144%24 Sept →
nuke6–13-0.0924%24 Sept →
nuke13–20.0532%24 Sept →
dust26–13-0.0124%24 Sept →
mirage11–13-0.0116%24 Sept →
inferno11–130.0016%24 Sept →

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 →

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