Kebobs

Kebobs — CS2 Stats

US76561198217646676[U:1:257380948]Steam profile ↗✓ No bans

1,737Tracked matches42%Win rate2020Tracked since
3,552Hours in CS10Hrs last 2 wks
CSDB Rating4.8 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (50 days ago). Ranks are recorded once per day this page is viewed.

+30Tracked matches · now 1,737
−1.7ppWin rate · 44.0% → 42.3%

Rating over time

23,562Peak Premier in tracked matches
27Days played since 2026-06-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim46
Positioning46
Utility60

0–100 skill scores via Leetify.

Recent form

STEADY47–41–12Last 10047%Win rateLWLWTLLWTW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +3.8pp headshot accuracy · −24ms 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

  • 2–2–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 605ms

Last 10

  • 4–4–2 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 656ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 668ms

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 against its own average).

Aim4.6
Utility6.0
Positioning4.6
Opening Duels1.5

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

ZywOo

Plays most like ZywOo 75% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 656ms 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

Aim4.6
Positioning4.6
Utility6.0
Mechanics7.5
Opening Duels2.1
Win Impact2.4

Composite 4.8/10 (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 rating0.01−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.01
Reaction time652ms−30ms
first ⅓ avg 682ms → last ⅓ avg 652ms
Headshot accuracy15.8%−0.9%
first ⅓ avg 16.8% → last ⅓ avg 15.8%

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

0.14Best match rating · 13–6 · nuke, 15 Jun →
31%Best headshot accuracy · 5–13 · mirage, 6 Jun →
469msFastest reaction time · 13–6 · cache, 1 Jul →
13–1Biggest win · vertigo, 14 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 67% over 6trainWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
vertigoC2310–1343%0.02
nukeA2213–959%0.04
mirageD93–633%0.01
trainD61–517%-0.01
infernoS64–267%0.03
cacheB63–350%0.03
ancientB63–350%0.02
dust2C52–340%-0.01
boulderC52–340%0.06
fachwerk—43–175%0.08
anubis—31–233%-0.00
overpass—21–150%0.05
shelter—20–20%0.07
warden—11–0100%0.04

Across the last 100 tracked matches.

Lifetime stats

133,875Lifetime kills
1.15K/D · Top 25% of tracked players
6,353Matches
32.9%Match win rate
38.9%Headshot %
11.9%Shot accuracy · Top 50% of tracked players
10,135MVPs
2,064Hours (in match)
3,174Bombs planted
1,421Bombs defused

Most-used weapons

AK-4735,698
AWP13,574
MP93,608
P2502,906

Lifetime map wins

8,944nuke
6,134inferno
3,109vertigo
2,403dust2
1,056train
1,012cbble
712office
398italy

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

Faceit stats

Combat

37Matches
68%Win rate
1.24Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
9Longest win streak

Recent Faceit resultsLWWLW

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.

15.6%Headshot accuracy
32.6%Accuracy (enemy spotted)
35.4%Spray accuracy
83.5%Counter-strafing
13.6°Preaim
656msReaction time
44.3%T opening success
32.8%CT opening success
0.61Enemies flashed / flash
7.5%Flash assists
10.76HE damage / grenade
11.92Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.5875° — above the 12° mark we flag

    Aim Training →
Spend your practice time on Train

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
vertigo8–13-0.0816%19 Oct →
nuke13–100.0913%19 Oct →
train10–130.0120%19 Oct →
inferno13–70.0317%19 Oct →
mirage12–120.0613%18 Oct →
nuke10–13-0.0312%18 Oct →
vertigo7–130.019%18 Oct →
dust213–60.0123%18 Oct →
inferno12–120.0229%18 Oct →
nuke13–30.0426%18 Oct →
vertigo9–130.0511%8 Oct →
train9–13-0.0416%8 Oct →
nuke13–50.0018%8 Oct →
train13–100.0511%8 Oct →
nuke13–110.0715%26 Sept →
dust25–13-0.0913%25 Sept →
vertigo13–90.0217%25 Sept →
nuke10–130.0110%25 Sept →
train1–13-0.0414%25 Sept →
mirage13–60.0715%25 Sept →
cache8–130.0727%25 Sept →
nuke7–130.0024%25 Sept →
vertigo12–120.0117%24 Sept →
vertigo7–130.0514%19 Sept →
nuke6–130.0310%19 Sept →
vertigo13–50.0610%5 Sept →
nuke12–12-0.0110%5 Sept →
anubis2–13-0.0718%5 Sept →
ancient13–80.0710%5 Sept →
mirage2–13-0.0317%5 Sept →
mirage12–120.0618%23 Aug →
cache6–3-0.0520%23 Aug →
ancient11–13-0.0012%23 Jul →
vertigo2–130.029%23 Jul →
fachwerk13–70.0731%23 Jul →
nuke13–30.039%23 Jul →
boulder13–90.0711%22 Jul →
vertigo7–130.0513%22 Jul →
overpass13–30.098%22 Jul →
nuke13–50.0025%22 Jul →
nuke8–130.048%14 Jul →
vertigo13–10.0518%14 Jul →
boulder10–130.0616%14 Jul →
boulder6–130.0120%11 Jul →
cache7–130.0110%11 Jul →
nuke4–13-0.059%11 Jul →
vertigo13–70.0820%10 Jul →
boulder13–90.1223%10 Jul →
vertigo11–13-0.0718%10 Jul →
vertigo8–13-0.009%10 Jul →
nuke12–120.0912%10 Jul →
vertigo11–13-0.026%10 Jul →
shelter12–120.1413%9 Jul →
fachwerk13–20.0517%9 Jul →
fachwerk13–90.1221%9 Jul →
vertigo1–13-0.118%9 Jul →
boulder12–120.0320%9 Jul →
fachwerk12–120.0920%9 Jul →
shelter9–130.0010%9 Jul →
train4–13-0.0523%2 Jul →
vertigo13–30.0612%2 Jul →
cache12–12-0.018%1 Jul →
mirage13–110.008%1 Jul →
ancient13–110.0119%1 Jul →
vertigo13–110.0211%1 Jul →
anubis2–13-0.0413%1 Jul →
cache13–60.0620%1 Jul →
nuke13–80.0122%30 Jun →
vertigo12–120.0319%23 Jun →
nuke13–30.0810%23 Jun →
vertigo13–70.0714%23 Jun →
nuke13–30.1017%23 Jun →
vertigo13–60.028%21 Jun →
ancient10–130.0612%21 Jun →
train11–130.0323%21 Jun →
dust212–120.1322%21 Jun →
cache13–80.0813%21 Jun →
inferno11–13-0.0526%20 Jun →
mirage13–9-0.019%20 Jun →
dust24–13-0.0510%19 Jun →
mirage5–13-0.0514%15 Jun →
vertigo13–70.0113%15 Jun →
overpass7–130.0224%15 Jun →
nuke13–60.1428%15 Jun →
vertigo13–90.1419%15 Jun →
mirage8–13-0.0016%15 Jun →
nuke13–9-0.0319%15 Jun →
ancient9–13-0.0511%15 Jun →
vertigo9–130.0514%14 Jun →
nuke13–10.1013%14 Jun →
anubis13–50.1112%12 Jun →
nuke16–130.1014%7 Jun →
inferno13–80.1019%7 Jun →
ancient13–80.0514%7 Jun →
inferno13–9-0.0221%7 Jun →
nuke6–13-0.0319%7 Jun →
inferno13–110.1216%7 Jun →
warden13–90.0416%7 Jun →
dust213–6-0.0617%7 Jun →
mirage5–130.0331%6 Jun →

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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