kellz

kellz — CS2 Stats

US76561199226879117[U:1:1266613389]Steam profile ↗✓ No bans

1,317Tracked matches40%Win rate2022Tracked since
746Hours in CS
CSDB Rating5.9 SolidPositional Player
Premier CS Rating15,000Purple band · top ~28.4% of ranked players (population est.)
FaceitLevel 7 · 1,373 ELOTop 42.3% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (31 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: 15,000 -2,927 13 Feb – 15 Sept · 29 days played
13,50718,739peak 18,73913 Feb15 Sept
18,739Peak Premier in tracked matches
1,373Highest Faceit ELO seen on CSDB
42Days played since 2026-02-13

Faceit ELO

  • At peak — 1,373
  • Next: Level 8 at 1,531 — 158 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4

Premier CS Rating

  • 3,739 below peak (18,739)
  • -922 over 30 days · declining
  • Next: Pink band at 20,000 — 5,000 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.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=14,195), 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 7 medianLevel 8 medianvs Level 8
Headshot rate40.1%45.7%46.8%6.7% short
Shot accuracy2.2%12.7%13.0%10.8% short
Kill/death ratio1.161.051.06above
Match win rate44.1%45.7%46.3%2.2% short

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGkellzFACEITLevel 7 · 1,373 ELOSTANDINGTop 42.3% of rankedPREMIER15,000 · Purple bandPEAK ELO1,373csdb.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

Aim79
Positioning65
Utility57

0–100 skill scores via Leetify.

Recent form

COLD48–51–1Last 10048%Win rateWLLLWLWLLL

Last 10 vs previous 10: −20pp win rate · −0.02 avg rating · +0.6pp headshot accuracy · +24ms reaction

Win rate down 20pp 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 19%
  • Avg reaction 503ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 510ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 498ms

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 against its own average).

Aim7.9
Utility5.7
Positioning6.5
Opening Duels5.8
Clutch4.0

Strong CT-side opener

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

jL

Plays most like jL 91% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 62% on CT to 35% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.9
Positioning6.5
Utility5.7
Mechanics5.0
Opening Duels4.6
Win Impact1.7

Composite 5.9/10 (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 rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time506ms−108ms
first ⅓ avg 613ms → last ⅓ avg 506ms
Headshot accuracy19.9%+0.9%
first ⅓ avg 19.0% → last ⅓ avg 19.9%

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

0.43Best match rating · 9–1 · inferno, 17 Aug →
50%Best headshot accuracy · 9–6 · inferno, 20 Aug →
352msFastest reaction time · 5–9 · inferno, 17 Aug →
13–1Biggest win · dust2, 28 Jul →

Across the last 100 tracked matches.

Highlights

10Longest win streak
8–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 59% over 17cacheWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageC208–1240%0.03
ancientA1710–759%0.05
dust2C146–843%0.00
infernoB137–654%0.04
nukeA127–558%0.03
cacheD124–833%0.03
overpassD62–433%-0.02
anubis—32–167%0.03
office—21–150%0.03
vertigo—11–0100%0.01

Across the last 100 tracked matches.

Lifetime stats

33,181Lifetime kills
1.16K/D · Top 50% of Level 7 players
1,702Matches
44.1%Match win rate
40.1%Headshot %
2.2%Shot accuracy
4,074MVPs
746Hours (in match)
1,092Bombs planted
596Bombs defused

Most-used weapons

Lifetime map wins

2,376inferno
2,064dust2
1,419nuke
1,236vertigo
486office
451train
78lake
30italy

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

Faceit stats

Combat

79Matches
56%Win rate
1.29Avg K/D
87.0ADR
37%Headshot %

Clutches & streaks

40%1v1 clutch win
33%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage1553%1.3418.3
Inferno1346%1.3119.9
Anubis1267%1.7120.5
Dust21250%0.9916.5
Ancient1164%1.3618.0
Nuke580%1.6720.0
Train1100%1.4722.0
Overpass10%0.9313.0

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.

18.8%Headshot accuracy
35.7%Accuracy (enemy spotted)
42.1%Spray accuracy
72.4%Counter-strafing
8.6°Preaim
516msReaction time
35.0%T opening success
62.2%CT opening success
0.63Enemies flashed / flash
3.5%Flash assists
10.75HE damage / grenade
7.44Flashes / 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

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 34.9618% — below the 40% mark we flag

Spend your practice time on Cache

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–70.0521%15 Sept →
mirage4–13-0.0313%15 Sept →
dust24–13-0.0417%15 Sept →
cache12–16-0.0320%15 Sept →
nuke13–50.0722%10 Sept →
cache10–130.0412%31 Aug →
inferno13–110.0112%30 Aug →
dust25–130.0123%29 Aug →
ancient6–13-0.0237%28 Aug →
mirage5–130.1021%28 Aug →
mirage13–110.0820%27 Aug →
nuke7–13-0.0417%26 Aug →
office13–50.0622%25 Aug →
ancient7–130.0222%25 Aug →
nuke9–130.0219%25 Aug →
mirage13–90.0525%25 Aug →
dust213–70.0916%24 Aug →
mirage3–13-0.0122%24 Aug →
ancient7–130.0412%23 Aug →
mirage13–100.0419%23 Aug →
mirage10–130.0520%23 Aug →
cache16–130.0216%23 Aug →
ancient6–13-0.0612%23 Aug →
inferno9–60.0950%20 Aug →
nuke13–110.0615%20 Aug →
mirage3–130.0119%20 Aug →
cache7–130.0223%19 Aug →
ancient13–30.1518%19 Aug →
dust210–13-0.0517%18 Aug →
cache7–130.0613%17 Aug →
inferno5–9-0.0930%17 Aug →
inferno3–9-0.1514%17 Aug →
inferno9–10.4319%17 Aug →
ancient13–80.0224%16 Aug →
mirage13–100.0217%16 Aug →
mirage13–40.0618%16 Aug →
inferno13–60.1817%16 Aug →
dust213–60.1312%16 Aug →
inferno16–130.0320%16 Aug →
inferno13–11-0.0110%16 Aug →
ancient13–100.1213%15 Aug →
nuke13–80.0219%15 Aug →
nuke2–130.0622%15 Aug →
dust210–130.0017%15 Aug →
mirage8–130.0215%15 Aug →
dust24–13-0.0417%15 Aug →
inferno3–13-0.0616%14 Aug →
mirage14–160.0926%14 Aug →
inferno13–100.0718%14 Aug →
cache5–130.0313%13 Aug →
ancient13–40.077%13 Aug →
inferno11–130.0918%13 Aug →
ancient11–13-0.0115%13 Aug →
vertigo13–100.0120%13 Aug →
ancient13–40.0221%12 Aug →
nuke5–130.0222%12 Aug →
ancient13–40.0220%12 Aug →
dust210–13-0.0018%12 Aug →
dust29–13-0.0730%12 Aug →
dust213–30.0517%11 Aug →
mirage9–13-0.0718%11 Aug →
nuke13–110.0614%11 Aug →
nuke13–60.0312%11 Aug →
dust213–100.0319%11 Aug →
mirage16–130.0418%10 Aug →
anubis16–120.0115%10 Aug →
inferno4–9-0.1036%8 Aug →
mirage11–13-0.0216%7 Aug →
dust213–10.0119%28 Jul →
anubis15–150.0513%28 Jul →
cache10–13-0.0119%27 Jul →
ancient11–130.1326%24 Jul →
cache14–160.0125%12 Jul →
cache13–110.0419%13 May →
cache13–110.0419%30 Apr →
cache13–50.0623%30 Apr →
cache3–130.0830%29 Apr →
overpass6–13-0.045%22 Apr →
ancient5–130.046%20 Apr →
overpass13–8-0.026%9 Apr →
office6–13-0.0036%9 Apr →
mirage10–13-0.0316%3 Apr →
anubis13–90.0235%2 Apr →
mirage13–50.0628%2 Apr →
ancient13–100.1125%23 Mar →
ancient13–30.1421%3 Mar →
ancient13–10-0.0511%19 Feb →
dust213–7-0.036%16 Feb →
overpass6–13-0.0116%15 Feb →
inferno5–13-0.0424%15 Feb →
overpass4–13-0.0919%15 Feb →
nuke13–100.0323%15 Feb →
overpass5–13-0.0219%13 Feb →
mirage5–13-0.0219%13 Feb →
overpass16–140.0312%13 Feb →
dust25–13-0.0322%13 Feb →
ancient13–70.0630%13 Feb →
mirage13–50.1014%13 Feb →
mirage9–130.0214%13 Feb →
nuke8–13-0.039%13 Feb →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
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.