Kemukale

Kemukale — CS2 Stats

76561198143415428[U:1:183149700]Steam profile ↗✓ No bans

1,680Tracked matches45%Win rate2020Tracked since
CSDB Rating7.0 StrongPositional Player
Premier CS Rating23,031Top 25% of 204,412 CSDB-tracked playersPink band · top ~5.2% of ranked players (population est.)
CSDB Leaderboard#41466 of 251502 tracked
FaceitLevel 8 · 1,601 ELOTop 31.2% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 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: 23,031 +3,030 29 Aug – 12 Oct · 33 days played
20,00024,304peak 24,30429 Aug12 Oct
Faceit ELO: 1,601 +0 29 Aug – 19 Sept · 6 observations
1,6011,601peak 1,60129 Aug19 Sept
24,424Peak Premier in tracked matches
1,601Highest Faceit ELO seen on CSDB
28Days played since 2026-08-29

Faceit ELO

  • At peak — 1,601
  • Next: Level 9 at 1,751 — 150 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-29
  • Level 7 first seen 2026-08-29

Premier CS Rating

  • 1,273 below peak (24,304)
  • +1,816 over 30 days · improving
  • Next: Red band at 25,000 — 1,969 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-29
  • Purple band first seen 2026-08-29

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.

Share this profile

CSDB.GGKemukaleFACEITLevel 8 · 1,601 ELOSTANDINGTop 31.2% of rankedPREMIER23,031 · Pink bandPEAK ELO1,601csdb.gg/stats

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Performance scores

Aim83
Positioning76
Utility47

0–100 skill scores via Leetify.

Recent form

COLD43–54–3Last 10043%Win rateLWLLLLLLLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −1.3pp headshot accuracy · −33ms reaction

Win rate down 30pp 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

  • 1–4 · 20% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 447ms

Last 10

  • 1–9 · 10% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 472ms

Last 20

  • 5–14–1 · 25% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 23%
  • Avg reaction 488ms

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 (+2.1 against its own average).

Aim8.3
Utility4.7
Positioning7.6
Opening Duels7.0
Clutch2.8

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

m0NESY

Plays most like m0NESY 83% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower aim profile; lower utility contribution.

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. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.3
Positioning7.6
Utility4.7
Mechanics6.9
Opening Duels7.9
Win Impact3.3

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02−0.01
first ⅓ avg 0.03 → last ⅓ avg 0.02
Reaction time497ms+1ms
first ⅓ avg 496ms → last ⅓ avg 497ms
Headshot accuracy22.3%+2.5%
first ⅓ avg 19.7% → last ⅓ avg 22.3%

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

0.26Best match rating · 13–4 · nuke, 7 Oct →
43%Best headshot accuracy · 4–13 · mirage, 23 Sept →
359msFastest reaction time · 6–13 · anubis, 25 Sept →
13–0Biggest win · nuke, 20 Sept →

Across the last 100 tracked matches.

Highlights

8Longest win streak
10–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

ancientBest map · 60% over 10infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
nukeC229–1341%0.04
mirageC188–1044%0.03
cacheC166–1038%0.02
anubisC125–742%0.03
infernoD124–833%0.03
dust2B105–550%0.03
ancientA106–460%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

430Matches
51%Win rate
1.17Avg K/D
80.0ADR
45%Headshot %

Clutches & streaks

34%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage6552%1.2116.7
Ancient4144%1.0315.7
Inferno2650%1.1316.8
Dust22552%1.1016.1
Nuke2446%0.9815.5
Anubis2343%1.0817.4
Overpass2070%1.1716.9
Vertigo1958%1.0915.7

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.

21.5%Headshot accuracy
34.2%Accuracy (enemy spotted)
36.1%Spray accuracy
81.2%Counter-strafing
8.8°Preaim
492msReaction time
61.8%T opening success
61.0%CT opening success
0.51Enemies flashed / flash
5.8%Flash assists
8.74HE damage / grenade
7.79Flashes / match

Recommended for you

Spend your practice time on Inferno

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.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–16-0.049%14 Oct →
anubis13–110.0518%12 Oct →
nuke10–13-0.0130%11 Oct →
mirage11–13-0.0220%11 Oct →
inferno6–130.1021%11 Oct →
mirage3–130.0229%11 Oct →
nuke11–130.0233%11 Oct →
cache7–130.0416%11 Oct →
mirage6–130.0420%11 Oct →
dust27–130.0030%11 Oct →
mirage9–13-0.0324%10 Oct →
anubis15–150.0030%10 Oct →
mirage13–60.1126%10 Oct →
mirage13–40.0617%8 Oct →
cache11–13-0.0320%8 Oct →
mirage13–80.0730%8 Oct →
dust27–130.0518%8 Oct →
anubis12–16-0.0421%7 Oct →
nuke13–40.2627%7 Oct →
anubis4–13-0.0125%6 Oct →
nuke14–160.0228%6 Oct →
ancient12–16-0.0811%6 Oct →
cache10–4-0.0026%5 Oct →
ancient13–80.0722%4 Oct →
mirage13–100.0519%4 Oct →
nuke13–70.0618%4 Oct →
cache13–6-0.0621%4 Oct →
cache13–90.0213%2 Oct →
anubis16–120.049%2 Oct →
dust213–100.0220%2 Oct →
inferno11–13-0.0113%2 Oct →
inferno4–130.0041%2 Oct →
dust213–4-0.0128%2 Oct →
inferno5–130.0430%2 Oct →
ancient13–160.0413%30 Sept →
dust28–130.0319%30 Sept →
nuke8–130.0418%30 Sept →
dust29–13-0.0313%30 Sept →
nuke12–16-0.0228%30 Sept →
mirage13–10-0.0626%30 Sept →
ancient13–40.035%29 Sept →
nuke13–110.0114%26 Sept →
anubis6–130.0322%25 Sept →
ancient8–13-0.0115%25 Sept →
dust213–100.0825%25 Sept →
mirage11–13-0.0315%25 Sept →
nuke12–16-0.0019%25 Sept →
nuke13–20.0931%24 Sept →
cache6–130.0329%24 Sept →
mirage4–13-0.0713%24 Sept →
nuke9–13-0.0122%24 Sept →
dust213–110.0728%24 Sept →
mirage7–130.0233%24 Sept →
nuke8–13-0.0531%24 Sept →
anubis15–150.0112%23 Sept →
cache8–130.0518%23 Sept →
cache7–130.0617%23 Sept →
mirage4–130.0443%23 Sept →
nuke10–13-0.0132%22 Sept →
cache2–130.1125%22 Sept →
nuke13–80.0619%22 Sept →
anubis13–50.1820%22 Sept →
nuke6–130.0222%22 Sept →
inferno9–130.0617%22 Sept →
inferno13–80.0918%21 Sept →
ancient8–130.0224%21 Sept →
nuke13–110.0516%21 Sept →
inferno3–130.0516%21 Sept →
mirage13–10.2217%21 Sept →
anubis10–130.0521%21 Sept →
cache13–110.2314%20 Sept →
nuke13–00.1719%20 Sept →
dust24–130.0640%20 Sept →
mirage6–130.0320%20 Sept →
cache13–100.0321%20 Sept →
ancient13–10-0.0016%20 Sept →
inferno10–130.0124%18 Sept →
ancient13–9-0.0215%18 Sept →
ancient13–100.0721%17 Sept →
nuke8–130.0036%17 Sept →
cache0–13-0.0720%16 Sept →
inferno16–14-0.0315%16 Sept →
inferno13–4-0.0012%16 Sept →
nuke13–90.0511%16 Sept →
nuke15–150.0319%16 Sept →
cache2–13-0.1214%16 Sept →
anubis4–130.0017%16 Sept →
cache13–80.0521%16 Sept →
nuke10–130.0321%13 Sept →
ancient8–1-0.0113%13 Sept →
anubis13–110.0421%12 Sept →
mirage13–100.0019%12 Sept →
mirage8–130.0918%12 Sept →
inferno12–160.0522%11 Sept →
nuke13–11-0.0220%11 Sept →
mirage13–11-0.0116%10 Sept →
dust216–130.0515%9 Sept →
anubis13–11-0.0034%9 Sept →
cache7–130.0125%8 Sept →
inferno13–100.0119%8 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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