Keks

Keks — CS2 Stats

DE76561198327117313[U:1:366851585]Steam profile ↗✓ No bans

383Tracked matches54%Win rate2022Tracked since
1,001Hours in CS
CSDB Rating4.4 DevelopingSupport
Premier CS Rating14,106Blue band · top ~33.1% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 13 Sep 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 383 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,106 -1,338 8 Jun – 13 Sept · 12 days played
13,31716,706peak 16,7068 Jun13 Sept
16,706Peak Premier in tracked matches
41Days played since 2025-06-07

Premier CS Rating

  • 2,600 below peak (16,706)
  • 0 over 90 days
  • Next: Purple band at 15,000 — 894 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-13
  • Light Blue band first seen 2026-09-13

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate37.2%42.0%44.3%7.2% short
Shot accuracy14.6%9.6%11.9%above
Kill/death ratio1.060.981.03above
Match win rate46.4%43.8%45.2%above

This profile matches the typical Purple band player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGKeksPREMIER14,106 · Blue bandcsdb.gg/stats

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Performance scores

Aim49
Positioning39
Utility56

0–100 skill scores via Leetify.

Recent form

HOT44–48–8Last 10044%Win rateWWLWLLWWWW

Last 10 vs previous 10: +60pp win rate · +0.01 avg rating · +2.8pp headshot accuracy · −88ms reaction

Win rate up 60pp 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 586ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 585ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 628ms

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 (+2.8 against its own average).

Aim4.9
Utility5.6
Positioning3.9
Opening Duels0.6
Clutch1.0

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 74% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 622ms 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

Aim4.9
Positioning3.9
Utility5.6
Mechanics5.4
Opening Duels1.0
Win Impact6.2

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time620ms+23ms
first ⅓ avg 597ms → last ⅓ avg 620ms
Headshot accuracy15.9%−0.4%
first ⅓ avg 16.3% → last ⅓ avg 15.9%

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

0.17Best match rating · 9–1 · nuke, 8 Jun →
34%Best headshot accuracy · 5–13 · mirage, 22 Mar →
422msFastest reaction time · 13–11 · ancient, 14 Apr →
13–1Biggest win · dust2, 4 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W2Current streak
5–7In matches decided by ≤2 rounds
7Overtime games

Map breakdown

overpassBest map · 67% over 6dust2Weakest map · 27% over 22
MapGradePlayedRecordWin rateAvg rating
mirageA2212–1055%-0.00
dust2D226–1627%-0.01
ancientA116–555%-0.02
infernoD113–827%0.00
nukeA95–456%0.01
cacheA74–357%-0.00
overpassS64–267%-0.02
anubisD62–433%-0.03
vertigo—22–0100%-0.01
train—20–20%-0.02
palacio—10–10%-0.02
jura—10–10%0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 22). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

34,904Lifetime kills
1.06K/D · Top 50% of Blue band
2,097Matches
46.4%Match win rate · Top 50% of Blue band
37.2%Headshot %
14.6%Shot accuracy · Top 25% of Blue band
4,431MVPs
1,001Hours (in match)
1,323Bombs planted
441Bombs defused

Most-used weapons

Lifetime map wins

3,922inferno
1,970dust2
605nuke
378train
367vertigo
359cbble
109italy
104lake

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

Faceit stats

Combat

32Matches
62%Win rate
0.88Avg K/D
69.5ADR
45%Headshot %

Clutches & streaks

25%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage1250%0.8111.8
Dust2771%0.6810.4
Ancient475%0.9113.3
Inferno250%0.8213.0
Cache2100%1.1013.5
Overpass10%0.6911.0
Anubis1100%0.738.0
Nuke1100%1.3619.0

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.

15.6%Headshot accuracy
31.3%Accuracy (enemy spotted)
34.6%Spray accuracy
74.5%Counter-strafing
10.8°Preaim
622msReaction time
26.8%T opening success
38.2%CT opening success
0.58Enemies flashed / flash
4.5%Flash assists
9.00HE damage / grenade
10.33Flashes / 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 26.7893% — 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.

27% win rate across 22 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
overpass13–9-0.0420%12 Jun →
ancient13–80.0126%7 Jun →
inferno4–13-0.0615%6 Jun →
anubis13–90.0116%5 Jun →
nuke10–13-0.0318%5 Jun →
inferno6–130.0223%5 Jun →
mirage13–8-0.0610%5 Jun →
inferno13–50.0415%4 Jun →
dust213–10.027%4 Jun →
cache13–70.0318%4 Jun →
inferno6–13-0.0213%4 Jun →
overpass6–13-0.059%4 Jun →
ancient9–13-0.0318%4 Jun →
mirage10–13-0.079%3 Jun →
dust25–13-0.0413%3 Jun →
inferno11–130.0215%3 Jun →
inferno15–150.0419%23 May →
mirage13–9-0.0717%23 May →
inferno15–150.019%22 May →
dust29–13-0.0116%22 May →
anubis10–13-0.0718%22 May →
dust214–160.0013%17 May →
ancient13–11-0.024%17 May →
overpass13–30.0415%6 May →
nuke13–8-0.0213%3 May →
anubis6–13-0.0413%3 May →
mirage13–30.0227%3 May →
cache13–5-0.0326%1 May →
cache13–90.0119%1 May →
cache13–10-0.0019%1 May →
cache10–13-0.0112%1 May →
mirage6–130.0626%1 May →
cache12–12-0.0114%29 Apr →
cache8–13-0.0122%29 Apr →
dust211–130.0625%26 Apr →
dust213–7-0.0517%26 Apr →
ancient5–13-0.138%25 Apr →
mirage12–16-0.0315%22 Apr →
dust211–13-0.0515%22 Apr →
dust24–13-0.0120%21 Apr →
dust210–130.0718%19 Apr →
dust210–130.0016%18 Apr →
dust213–11-0.0317%15 Apr →
overpass13–4-0.0212%15 Apr →
ancient13–11-0.0512%14 Apr →
mirage5–130.0116%14 Apr →
dust212–12-0.0210%13 Apr →
mirage11–130.037%12 Apr →
ancient5–13-0.033%12 Apr →
inferno4–13-0.0913%11 Apr →
vertigo8–4-0.088%11 Apr →
dust29–130.0523%11 Apr →
mirage9–13-0.0630%2 Apr →
dust29–13-0.047%2 Apr →
mirage12–120.0118%1 Apr →
ancient2–13-0.089%1 Apr →
inferno7–13-0.0517%28 Mar →
dust213–5-0.0120%28 Mar →
mirage13–5-0.0212%28 Mar →
overpass11–13-0.058%28 Mar →
dust23–13-0.0618%28 Mar →
dust29–13-0.0415%27 Mar →
anubis9–4-0.049%27 Mar →
mirage13–50.0628%23 Mar →
mirage6–13-0.0511%22 Mar →
mirage5–130.0834%22 Mar →
mirage13–90.0116%1 Nov →
dust27–13-0.0122%1 Nov →
palacio1–13-0.0222%22 Oct →
mirage13–110.0526%22 Oct →
vertigo13–70.0517%20 Jul →
overpass13–4-0.0218%17 Jul →
mirage13–2-0.0212%17 Jul →
ancient13–50.0624%13 Jul →
nuke13–9-0.0119%13 Jul →
dust215–15-0.0314%13 Jul →
inferno13–50.0720%13 Jul →
dust210–13-0.069%13 Jul →
ancient11–130.0217%13 Jul →
train8–13-0.0619%13 Jul →
mirage8–13-0.0126%13 Jul →
ancient13–60.0118%13 Jul →
dust213–80.019%12 Jul →
anubis4–13-0.0714%12 Jul →
anubis12–120.0315%12 Jul →
ancient13–80.0013%12 Jul →
nuke13–80.0611%12 Jul →
inferno13–90.0514%12 Jul →
dust26–2-0.0511%12 Jul →
nuke9–130.0410%4 Jul →
mirage16–13-0.0513%24 Jun →
mirage13–5-0.0210%24 Jun →
mirage13–70.0715%24 Jun →
nuke4–13-0.038%19 Jun →
nuke7–13-0.0524%8 Jun →
mirage13–50.0318%8 Jun →
nuke16–14-0.0121%8 Jun →
train9–130.0114%8 Jun →
nuke9–10.1717%8 Jun →
jura12–120.0318%7 Jun →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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