Keke Smullberg

Keke Smullberg — CS2 Stats

76561199041592566[U:1:1081326838]Steam profile ↗✓ No bans

1,525Tracked matches48%Win rate2020Tracked since
1,367Hours in CS16Hrs last 2 wks
CSDB Rating5.3 DevelopingSupport
Premier CS Rating19,642Top 50% of 204,219 CSDB-tracked playersPurple band · top ~9.9% of ranked players (population est.)
CSDB Leaderboard#87570 of 251360 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (2 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: 19,642 -1,543 16 Aug – 11 Oct · 18 days played
19,33221,191peak 21,19116 Aug11 Oct
Faceit ELO: 1,054 +0 2 Sept – 19 Sept · 2 observations
1,0541,054peak 1,0542 Sept19 Sept
21,541Peak Premier in tracked matches
1,054Highest Faceit ELO seen on CSDB
36Days played since 2026-08-16

Faceit ELO

  • At peak — 1,054
  • Next: Level 6 at 1,201 — 147 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-02
  • Level 4 first seen 2026-09-02

Premier CS Rating

  • 1,549 below peak (21,191)
  • -738 over 30 days · declining
  • Next: Pink band at 20,000 — 358 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

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 rate48.7%44.3%46.9%above
Shot accuracy1.9%11.9%13.0%11.1% short
Kill/death ratio0.851.031.080.23 short
Match win rate46.2%45.2%46.7%meets

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGKeke SmullbergPREMIER19,642 · Purple bandPEAK ELO1,054csdb.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

Aim72
Positioning44
Utility52

0–100 skill scores via Leetify.

Recent form

STEADY42–54–4Last 10042%Win rateWWWLWLWLLL

Last 10 vs previous 10: +10pp win rate · −0.03 avg rating · −3.3pp headshot accuracy · −2ms 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

  • 4–1 · 80% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 698ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 602ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 604ms

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).

Aim7.2
Utility5.2
Positioning4.4
Opening Duels0.6
Clutch2.4

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

Twistzz

Plays most like Twistzz 92% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Areas to improve

Reaction time. 606ms 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

Aim7.2
Positioning4.4
Utility5.2
Mechanics6.4
Opening Duels1.1
Win Impact4.4

Composite 5.3/10 (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 rating-0.03−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time609ms+3ms
first ⅓ avg 607ms → last ⅓ avg 609ms
Headshot accuracy14.7%−3.1%
first ⅓ avg 17.7% → last ⅓ avg 14.7%

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 · 6–13 · office, 21 Aug →
47%Best headshot accuracy · 5–13 · dust2, 2 Oct →
375msFastest reaction time · 9–5 · nuke, 6 Oct →
13–1Biggest win · train, 19 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W3Current streak
7–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 64% over 11officeWeakest map · 17% over 18
MapGradePlayedRecordWin rateAvg rating
officeD183–1517%-0.02
infernoB178–947%-0.04
cacheD122–1017%-0.04
dust2A117–464%0.00
anubisC104–640%-0.01
nukeB84–450%-0.01
ancientA74–357%-0.02
overpassC52–340%-0.02
mirageC52–340%-0.02
train—33–0100%0.01
vertigo—11–0100%0.01
fachwerk—11–0100%-0.05
shelter—10–10%-0.07
boulder—11–0100%-0.03

Across the last 100 tracked matches.

Lifetime stats

27,101Lifetime kills
0.85K/D
1,871Matches
46.2%Match win rate · Top 50% of Purple band
48.7%Headshot % · Top 50% of Purple band
1.9%Shot accuracy
3,474MVPs
769Hours (in match)
1,669Bombs planted
319Bombs defused

Most-used weapons

Lifetime map wins

3,997inferno
2,697office
1,858dust2
1,473nuke
1,140train
411vertigo
140italy
19lake

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

Faceit stats

Combat

161Matches
53%Win rate
0.97Avg K/D
73.1ADR
49%Headshot %

Clutches & streaks

32%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient4657%0.9913.4
Inferno3370%1.1815.0
Dust23040%0.8212.9
Anubis2050%0.7712.3
Nuke1030%0.8617.4
Overpass862%1.0514.9
Train757%0.9614.7
Mirage633%1.1614.0

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.

15.3%Headshot accuracy
36.6%Accuracy (enemy spotted)
38.2%Spray accuracy
78.8%Counter-strafing
8.3°Preaim
606msReaction time
32.9%T opening success
35.5%CT opening success
0.54Enemies flashed / flash
2.3%Flash assists
11.31HE damage / grenade
8.47Flashes / 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 32.9125% — 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.

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust216–120.0213%11 Oct →
anubis13–6-0.1021%10 Oct →
overpass13–2-0.0119%10 Oct →
ancient4–13-0.099%10 Oct →
office13–5-0.0616%10 Oct →
cache11–13-0.0711%8 Oct →
nuke9–50.1010%6 Oct →
inferno2–9-0.230%6 Oct →
mirage9–13-0.0110%5 Oct →
dust210–13-0.0520%5 Oct →
mirage9–13-0.039%3 Oct →
cache12–12-0.0323%3 Oct →
office8–13-0.0315%3 Oct →
nuke9–13-0.096%2 Oct →
dust25–13-0.0447%2 Oct →
nuke13–20.0511%2 Oct →
anubis13–70.0813%1 Oct →
inferno13–7-0.0215%30 Sept →
mirage4–13-0.1111%30 Sept →
dust213–11-0.0212%30 Sept →
anubis4–130.0012%30 Sept →
cache13–9-0.0713%28 Sept →
inferno6–2-0.0618%28 Sept →
ancient5–13-0.015%27 Sept →
office11–13-0.0621%27 Sept →
vertigo13–70.0120%24 Sept →
anubis10–13-0.0319%23 Sept →
dust213–8-0.0122%22 Sept →
anubis13–8-0.015%22 Sept →
nuke5–13-0.0918%22 Sept →
train13–10.0110%19 Sept →
cache6–13-0.0516%19 Sept →
ancient13–110.0213%18 Sept →
office4–130.1021%18 Sept →
office4–13-0.019%18 Sept →
office5–13-0.0121%18 Sept →
inferno8–13-0.0721%18 Sept →
overpass9–13-0.0013%13 Sept →
dust211–00.0532%13 Sept →
cache13–7-0.0526%13 Sept →
inferno13–110.0022%12 Sept →
office8–8-0.0213%11 Sept →
anubis7–13-0.0114%11 Sept →
inferno13–20.019%11 Sept →
dust213–60.0132%11 Sept →
overpass13–100.0120%10 Sept →
train13–30.0621%10 Sept →
cache2–13-0.110%8 Sept →
inferno13–30.0515%8 Sept →
inferno13–16-0.063%7 Sept →
dust23–130.0220%7 Sept →
nuke13–11-0.0331%7 Sept →
inferno12–16-0.026%5 Sept →
cache7–13-0.0424%5 Sept →
inferno10–130.0321%4 Sept →
cache8–130.0217%3 Sept →
inferno12–160.0014%3 Sept →
inferno13–9-0.0124%2 Sept →
inferno2–13-0.1026%2 Sept →
dust213–110.0419%2 Sept →
inferno13–8-0.0415%31 Aug →
ancient13–4-0.0111%31 Aug →
mirage13–40.038%31 Aug →
office13–4-0.056%30 Aug →
office6–13-0.0323%30 Aug →
dust24–13-0.0520%29 Aug →
cache6–130.0320%29 Aug →
nuke5–13-0.0420%29 Aug →
inferno1–13-0.099%29 Aug →
anubis8–130.0613%29 Aug →
office10–130.0922%29 Aug →
office1–13-0.0713%29 Aug →
office7–0-0.058%29 Aug →
office1–7-0.1210%29 Aug →
office2–13-0.0215%29 Aug →
ancient10–13-0.0219%26 Aug →
overpass7–13-0.0426%26 Aug →
office10–13-0.0121%25 Aug →
anubis5–13-0.0413%25 Aug →
dust213–40.0339%24 Aug →
nuke11–13-0.0422%24 Aug →
anubis13–7-0.0321%23 Aug →
cache6–13-0.0419%23 Aug →
office12–12-0.0311%23 Aug →
inferno14–16-0.0216%22 Aug →
ancient16–14-0.0418%22 Aug →
ancient13–60.0227%22 Aug →
fachwerk13–6-0.0532%22 Aug →
overpass12–12-0.0623%22 Aug →
train13–6-0.0413%22 Aug →
cache10–13-0.0415%21 Aug →
office6–130.1214%21 Aug →
inferno13–8-0.0312%21 Aug →
shelter11–13-0.0723%21 Aug →
nuke13–80.0821%21 Aug →
cache12–12-0.0614%16 Aug →
boulder13–11-0.0319%16 Aug →
office7–13-0.088%16 Aug →
anubis6–13-0.0525%16 Aug →
mirage13–3-0.015%16 Aug →

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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