Kebabmaker

Kebabmaker — CS2 Stats

HU76561199226655116[U:1:1266389388]Steam profile ↗✓ No bans

1,559Tracked matches33%Win rate2023Tracked since
1,143Hours in CS
CSDB Rating4.4 DevelopingSupport
Premier CS Rating3,236Grey band · top ~86.3% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Nov 2026 (5 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: 3,236 -446 2 Sept – 10 Nov · 39 days played
3,2364,279peak 4,2792 Sept10 Nov
4,398Peak Premier in tracked matches
534Highest Faceit ELO seen on CSDB
42Days played since 2026-09-02

Premier CS Rating

  • 1,043 below peak (4,279)
  • -715 over 30 days · declining
  • Next: Light Blue band at 5,000 — 1,764 to go

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 Level 2 among CSDB-tracked players (n=6,219), 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 2 medianLevel 3 medianvs Level 3
Headshot rate39.4%41.3%41.8%2.4% short
Shot accuracy2.6%12.7%12.2%9.5% short
Kill/death ratio0.560.950.980.42 short
Match win rate37.2%42.6%43.3%6.0% short

This profile sits below the typical Level 3 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKebabmakerFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER3,236 · Grey bandPEAK ELO534csdb.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

Aim66
Positioning41
Utility53

0–100 skill scores via Leetify.

Recent form

COLD39–57–4Last 10039%Win rateTLLLLLLLLW

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · +1.5pp headshot accuracy · −37ms reaction

Win rate down 40pp 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 18%
  • Avg reaction 646ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 667ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 686ms

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 (+2.1 against its own average).

Aim6.6
Utility5.3
Positioning4.1
Opening Duels0.0
Clutch3.4

Effective flashes

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

NiKo

Plays most like NiKo 83% playstyle similarity

Most alike: utility contribution, positioning profile.

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

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

Flashes. 0.85 enemies blinded per flash — utility that consistently lands.

Areas to improve

CT openings. Opening success drops from 47% on T to 27% on CT — first contacts on the defending side are being lost.

Reaction time. 676ms 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

Aim6.6
Positioning4.1
Utility5.3
Mechanics7.4
Opening Duels2.1
Win Impact0.0

Composite 4.4/10 (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-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time678ms+20ms
first ⅓ avg 659ms → last ⅓ avg 678ms
Headshot accuracy18.3%−2.2%
first ⅓ avg 20.5% → last ⅓ avg 18.3%

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

0.12Best match rating · 5–4 · ancient, 17 Sept →
63%Best headshot accuracy · 6–13 · dust2, 18 Sept →
438msFastest reaction time · 13–6 · nuke, 30 Sept →
13–3Biggest win · inferno, 25 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–6In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 46% over 37dust2Weakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
infernoB3717–2046%-0.05
mirageB2210–1245%-0.02
dust2D133–1023%-0.03
ancientC104–640%-0.02
nukeD103–730%-0.04
anubisC52–340%-0.03
cache—30–30%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,482Lifetime kills
0.56K/D
3,181Matches
37.2%Match win rate
39.4%Headshot %
2.6%Shot accuracy
3,537MVPs
1,143Hours (in match)
2,450Bombs planted
337Bombs defused

Most-used weapons

AK-477,116
AWP2,134
FAMAS1,911
MP71,758
P90755

Lifetime map wins

7,688inferno
4,937dust2
1,335nuke
489vertigo
271train
220office
23stmarc
18lake

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

Faceit stats

Combat

133Matches
44%Win rate
0.74Avg K/D
69.7ADR
39%Headshot %

Clutches & streaks

37%1v1 clutch win
12%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4139%0.7112.6
Dust23152%0.7612.8
Inferno2556%0.7012.3
Ancient1513%0.6611.5
Anubis1250%0.8512.3
Cache425%0.6211.3
Nuke3100%0.9915.7
Vertigo250%1.1815.5

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.

18.1%Headshot accuracy
36.5%Accuracy (enemy spotted)
36.5%Spray accuracy
83.2%Counter-strafing
10.2°Preaim
676msReaction time
46.8%T opening success
26.5%CT opening success
0.85Enemies flashed / flash
1.5%Flash assists
8.77HE damage / grenade
7.58Flashes / 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. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 26.5171% — below the 40% mark we flag

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.

23% 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
dust212–12-0.0813%14 Nov →
dust211–13-0.1335%14 Nov →
inferno1–13-0.118%11 Nov →
inferno8–13-0.0120%10 Nov →
anubis9–130.0215%4 Nov →
inferno11–130.0016%3 Nov →
cache3–13-0.0227%2 Nov →
ancient5–13-0.0416%1 Nov →
anubis3–13-0.1012%1 Nov →
mirage13–110.0119%1 Nov →
nuke8–13-0.0614%31 Oct →
dust213–9-0.0324%31 Oct →
inferno13–11-0.089%31 Oct →
inferno7–13-0.025%31 Oct →
mirage13–60.036%31 Oct →
inferno7–13-0.1024%30 Oct →
nuke7–130.0321%30 Oct →
nuke13–6-0.0920%29 Oct →
inferno12–12-0.0117%29 Oct →
inferno9–20.0527%29 Oct →
cache6–13-0.0431%29 Oct →
dust29–130.0230%27 Oct →
inferno5–13-0.0710%26 Oct →
inferno13–8-0.0018%26 Oct →
mirage9–13-0.1013%26 Oct →
inferno15–15-0.0512%25 Oct →
mirage13–11-0.0328%25 Oct →
inferno13–7-0.0427%25 Oct →
inferno13–3-0.0712%25 Oct →
inferno8–13-0.1131%24 Oct →
mirage6–13-0.048%24 Oct →
mirage13–9-0.1018%24 Oct →
inferno7–9-0.0618%24 Oct →
dust24–13-0.0221%24 Oct →
mirage12–16-0.0215%21 Oct →
ancient13–90.0012%21 Oct →
inferno13–70.0821%21 Oct →
inferno13–5-0.1011%20 Oct →
mirage13–30.0211%20 Oct →
inferno9–6-0.0115%20 Oct →
dust27–130.0913%19 Oct →
dust26–13-0.058%18 Oct →
cache4–13-0.0410%18 Oct →
inferno6–13-0.0415%18 Oct →
mirage13–110.0428%18 Oct →
inferno2–13-0.079%13 Oct →
anubis3–13-0.1020%13 Oct →
nuke8–13-0.075%11 Oct →
anubis13–100.0031%10 Oct →
nuke7–13-0.0813%5 Oct →
inferno10–130.0114%4 Oct →
nuke15–15-0.0520%1 Oct →
dust213–60.0220%30 Sept →
nuke13–60.1025%30 Sept →
mirage14–160.0313%30 Sept →
nuke8–13-0.1213%29 Sept →
inferno5–9-0.0715%29 Sept →
dust210–13-0.0511%29 Sept →
inferno13–8-0.0521%28 Sept →
inferno13–30.0024%28 Sept →
inferno8–13-0.0718%28 Sept →
mirage11–13-0.0128%27 Sept →
mirage13–40.0226%27 Sept →
mirage6–13-0.0626%26 Sept →
inferno9–4-0.0721%26 Sept →
inferno13–10-0.0623%26 Sept →
mirage11–130.0314%26 Sept →
ancient3–130.039%26 Sept →
dust213–8-0.059%26 Sept →
anubis13–80.0519%25 Sept →
ancient13–8-0.0016%25 Sept →
mirage16–12-0.0621%24 Sept →
ancient2–13-0.1224%23 Sept →
ancient3–13-0.0613%23 Sept →
ancient13–10-0.035%23 Sept →
nuke13–4-0.0816%23 Sept →
inferno13–11-0.0128%22 Sept →
inferno13–11-0.0828%21 Sept →
inferno6–9-0.0724%20 Sept →
inferno3–9-0.1426%20 Sept →
mirage7–13-0.039%20 Sept →
inferno3–9-0.1544%19 Sept →
inferno9–20.1045%19 Sept →
dust25–13-0.0213%19 Sept →
inferno13–5-0.0334%19 Sept →
inferno3–13-0.0426%19 Sept →
mirage3–20.0425%19 Sept →
mirage6–13-0.049%19 Sept →
dust26–13-0.0663%18 Sept →
mirage2–13-0.1013%17 Sept →
ancient5–40.1215%17 Sept →
nuke9–13-0.0316%16 Sept →
mirage6–13-0.0515%16 Sept →
dust25–13-0.0814%16 Sept →
mirage13–10-0.0217%15 Sept →
ancient6–13-0.0516%14 Sept →
mirage2–8-0.0819%14 Sept →
ancient7–13-0.069%13 Sept →
inferno9–4-0.0221%13 Sept →
inferno1–9-0.1515%13 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 →

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