keimu

keimu — CS2 Stats

GM76561198943618922[U:1:983353194]Steam profile ↗✓ No bans

3,750Tracked matches67%Win rate2020Tracked since
4,732Hours in CS
CSDB Rating7.5 StrongSupport
FaceitLevel 10 · 2,400 ELOTop 12.4% of ranked FACEIT players
WingmanThe Global Elite
Ladder ranks via Leetify

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CSDB.GGkeimuFACEITLevel 10 · 2,400 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim78
Positioning71
Utility76

0–100 skill scores via Leetify.

Recent form

STEADY61–39Last 10061%Win rateWLWWWWWLLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −0.1pp headshot accuracy · −53ms 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 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 551ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 541ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 568ms

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 (+1.7 against its own average).

Aim7.8
Utility7.6
Positioning7.1
Opening Duels5.0
Clutch3.8

Effective flashesHigh utility contribution

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 81% playstyle similarity

Most alike: positioning profile, opening-duel success.

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

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

Reaction time. 580ms 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

Aim7.8
Positioning7.1
Utility7.6
Mechanics7.3
Opening Duels5.2
Win Impact10.0

Composite 7.5/10 (Strong), 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 0.01 → last ⅓ avg 0.03
Reaction time585ms+4ms
first ⅓ avg 581ms → last ⅓ avg 585ms
Headshot accuracy23.1%+2.8%
first ⅓ avg 20.3% → last ⅓ avg 23.1%

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

0.27Best match rating · 9–1 · overpass, 25 Feb →
48%Best headshot accuracy · 13–5 · nuke, 19 Mar →
391msFastest reaction time · 13–11 · ancient, 10 Dec →
13–1Biggest win · ancient, 7 Mar →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–3In matches decided by ≤2 rounds
7Overtime games

Map breakdown

nukeBest map · 83% over 12anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA2615–1158%0.00
ancientS2619–773%0.03
infernoB147–750%0.02
nukeS1210–283%0.04
anubisC83–538%0.02
trainA53–260%-0.00
dust2—31–233%0.02
vertigo—32–167%0.06
overpass—21–150%0.15
cache—10–10%-0.03

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

223,629Lifetime kills
1.11K/D
8,039Matches
48.7%Match win rate
51.7%Headshot %
11.9%Shot accuracy
27,233MVPs
4,732Hours (in match)
9,774Bombs planted
3,764Bombs defused

Most-used weapons

AK-4793,856
AWP20,870
Knife4,611
SG 5533,782
FAMAS3,257

Lifetime map wins

12,988inferno
10,292vertigo
9,559nuke
8,278train
3,999dust2
606cbble
102safehouse
87lake

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

Faceit stats

Combat

4,781Matches
51%Win rate
1.19Avg K/D
83.7ADR
49%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage84150%1.1717.1
Ancient64054%1.2017.1
Nuke37452%1.1416.8
Inferno27245%1.1216.3
Anubis21246%1.0815.7
Train10354%1.2316.6
Vertigo9755%1.2217.8
Dust25746%0.9614.4

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.

23.2%Headshot accuracy
32.4%Accuracy (enemy spotted)
34.5%Spray accuracy
83.0%Counter-strafing
8.3°Preaim
580msReaction time
47.8%T opening success
53.5%CT opening success
0.78Enemies flashed / flash
10.0%Flash assists
11.49HE damage / grenade
13.30Flashes / match

Recommended for you

Spend your practice time on Anubis

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–3-0.0116%2 Nov →
mirage8–13-0.0221%1 Nov →
ancient13–60.1131%30 Oct →
nuke13–40.1133%29 Oct →
anubis13–5-0.0224%25 Oct →
ancient19–170.0024%22 Oct →
inferno13–80.1225%19 Oct →
ancient8–13-0.0613%19 Oct →
mirage9–130.0215%18 Oct →
cache14–16-0.0333%16 Oct →
nuke13–80.0625%15 Oct →
ancient13–110.0218%14 Oct →
mirage13–90.0119%13 Oct →
anubis10–13-0.0619%5 Oct →
anubis13–80.0522%10 Apr →
mirage13–70.0324%10 Apr →
mirage7–13-0.0429%7 Apr →
ancient4–13-0.0419%20 Mar →
nuke13–50.1048%19 Mar →
ancient13–90.0113%19 Mar →
ancient13–80.0521%13 Mar →
mirage9–13-0.0524%12 Mar →
mirage13–100.0325%9 Mar →
ancient13–50.0925%9 Mar →
overpass5–130.0218%7 Mar →
ancient13–10.0719%7 Mar →
anubis13–40.2221%7 Mar →
inferno13–40.0829%7 Mar →
nuke13–60.1023%7 Mar →
dust26–13-0.0021%7 Mar →
mirage9–130.0228%7 Mar →
nuke10–13-0.0120%7 Mar →
inferno8–13-0.0618%6 Mar →
dust28–130.039%4 Mar →
ancient13–40.0416%2 Mar →
ancient19–17-0.0120%27 Feb →
overpass9–10.2718%25 Feb →
inferno9–70.1026%25 Feb →
vertigo9–70.0423%25 Feb →
nuke13–50.0232%25 Feb →
mirage13–2-0.0615%25 Feb →
anubis10–13-0.0126%24 Feb →
mirage13–11-0.0430%24 Feb →
inferno9–13-0.0230%23 Feb →
mirage13–70.0418%23 Feb →
nuke7–13-0.0810%14 Feb →
mirage10–130.0317%13 Feb →
anubis10–13-0.0126%12 Feb →
mirage13–100.0618%10 Feb →
inferno9–13-0.0114%10 Feb →
ancient13–100.0420%4 Feb →
inferno13–90.0320%4 Feb →
mirage10–130.0218%4 Feb →
anubis4–130.0233%23 Jan →
ancient13–50.0912%16 Jan →
inferno13–100.0119%16 Jan →
anubis7–13-0.055%16 Jan →
ancient8–13-0.0514%15 Jan →
mirage13–30.0325%15 Jan →
ancient13–80.1126%14 Jan →
nuke13–6-0.0122%13 Jan →
ancient8–130.1222%7 Jan →
mirage13–80.0644%7 Jan →
inferno7–130.0818%2 Jan →
train4–13-0.0331%30 Dec →
inferno2–130.0413%16 Dec →
inferno9–70.0831%16 Dec →
train5–13-0.0613%16 Dec →
ancient19–150.0011%16 Dec →
ancient13–10.0514%15 Dec →
nuke13–110.1422%11 Dec →
ancient13–10.1816%11 Dec →
mirage13–100.0121%11 Dec →
mirage13–9-0.0515%10 Dec →
ancient13–110.0227%10 Dec →
ancient9–13-0.0224%8 Dec →
train13–90.0212%4 Dec →
mirage5–13-0.0624%4 Dec →
dust210–00.0317%2 Dec →
vertigo7–130.1016%2 Dec →
mirage13–90.0824%2 Dec →
mirage8–13-0.0215%1 Dec →
inferno3–13-0.0524%29 Nov →
ancient13–30.0526%27 Nov →
inferno10–13-0.0615%27 Nov →
mirage19–170.0226%26 Nov →
mirage13–9-0.0017%6 Nov →
ancient7–13-0.0518%3 Nov →
mirage13–80.0220%31 Oct →
mirage17–19-0.0334%28 Oct →
ancient14–16-0.0516%16 Oct →
ancient13–70.0619%16 Oct →
train13–20.0728%16 Oct →
inferno13–10-0.0220%13 Oct →
mirage7–130.0314%9 Oct →
nuke13–100.0426%6 Oct →
ancient13–9-0.0121%4 Oct →
nuke13–50.0128%3 Oct →
train13–70.0126%3 Oct →
vertigo13–30.0321%29 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
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.