KeiMummy

KeiMummy — CS2 Stats

76561199099904496[U:1:1139638768]Steam profile ↗✓ No bans

344Tracked matches38%Win rate2021Tracked since
CSDB Rating3.0 LearningClutch Specialist
FaceitLevel 5 · 1,132 ELOTop 67.6% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 37 days played since 8 Jun 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 12,663 +1,151 27 Jun15 Nov · 8 days played
11,51213,463peak 13,46327 Jun15 Nov
13,573Peak Premier in tracked matches
1,132Highest Faceit ELO seen on CSDB
37Days played since 2025-06-08

Faceit ELO

  • At peak — 1,132
  • Next: Level 6 at 1,201 69 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-21
  • Level 4 first seen 2026-09-21

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.

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CSDB.GGKeiMummyFACEITLevel 5 · 1,132 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,132csdb.gg/stats

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Performance scores

Aim33
Positioning42
Utility49

0–100 skill scores via Leetify.

Recent form

COLD43534Last 10043%Win rateLLTLLWLWWL

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −2.0pp headshot accuracy · −26ms 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

  • 041 · 0% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 585ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 630ms

Last 20

  • 7121 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 643ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+5.2 against its own average).

Aim3.3
Utility4.9
Positioning4.2
Opening Duels0.0
Clutch10.0

Reliable in 1v1s

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 64% 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. 683ms 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

Aim3.3
Positioning4.2
Utility4.9
Mechanics4.8
Opening Duels0.0
Win Impact1.0

Composite 3.0/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time677ms+9ms
first ⅓ avg 669ms → last ⅓ avg 677ms
Headshot accuracy11.6%+0.0%
first ⅓ avg 11.5% → last ⅓ avg 11.6%

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

0.09Best match rating · 8–13 · inferno, 11 Oct
30%Best headshot accuracy · 6–13 · dust2, 27 Jun
461msFastest reaction time · 2–13 · ancient, 11 Sept
13–3Biggest win · inferno, 9 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
510In matches decided by ≤2 rounds
6Overtime games

Map breakdown

overpassBest map · 80% over 5dust2Weakest map · 28% over 18
MapGradePlayedRecordWin rateAvg rating
infernoC2081240%-0.01
dust2D1851328%-0.03
mirageC1761135%-0.05
ancientB136746%-0.02
nukeA95456%-0.02
trainA85363%-0.02
anubisC73443%-0.03
overpassS54180%-0.03
cache31233%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (28% over 18). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

7Matches
57%Win rate
0.95Avg K/D
85.5ADR
27%Headshot %

Clutches & streaks

100%1v1 clutch win
25%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno20%0.9417.5
Train2100%1.1520.0
Mirage250%0.9016.0
Nuke1100%0.678.0

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.

11.8%Headshot accuracy
30.9%Accuracy (enemy spotted)
32.8%Spray accuracy
71.6%Counter-strafing
11.1°Preaim
683msReaction time
23.5%T opening success
29.5%CT opening success
0.56Enemies flashed / flash
2.3%Flash assists
6.92HE damage / grenade
7.47Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.8082% — below the 15% mark we flag

    Aim Training
  2. 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 23.4658% — 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.

28% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient2–13-0.0311%11 Sept
mirage5–13-0.0912%11 Sept
dust215–15-0.0110%11 Sept
cache9–13-0.0514%11 Sept
anubis9–130.0515%9 Sept
inferno13–30.0311%9 Sept
cache0–13-0.049%9 Sept
inferno13–60.0111%28 Jun
nuke13–6-0.015%28 Jun
mirage3–13-0.098%28 Jun
nuke11–13-0.0415%18 Jun
mirage4–13-0.086%18 Jun
dust29–13-0.0215%18 Jun
ancient13–80.039%18 Jun
ancient10–13-0.0214%6 Jun
inferno13–70.0624%6 Jun
nuke8–130.037%15 May
inferno10–13-0.0420%14 May
cache13–50.025%9 May
nuke13–6-0.0113%26 Apr
dust26–13-0.0817%26 Apr
mirage3–13-0.0418%26 Apr
overpass13–11-0.048%12 Apr
anubis9–13-0.0115%13 Feb
dust210–13-0.0910%13 Feb
anubis13–4-0.0817%22 Jan
ancient13–8-0.039%22 Jan
nuke13–11-0.055%15 Nov
dust24–13-0.0110%15 Nov
mirage10–13-0.1010%13 Nov
nuke11–13-0.019%13 Nov
dust213–5-0.0211%13 Nov
ancient7–13-0.058%12 Nov
overpass14–16-0.055%3 Nov
train5–13-0.083%11 Oct
ancient13–10-0.0213%11 Oct
ancient5–130.028%11 Oct
inferno8–130.0916%11 Oct
dust21–13-0.064%11 Oct
mirage3–13-0.029%11 Oct
mirage3–13-0.116%3 Oct
inferno5–13-0.069%3 Oct
mirage13–8-0.0410%3 Oct
inferno2–13-0.046%3 Oct
dust212–12-0.0310%2 Oct
inferno2–13-0.035%2 Oct
overpass13–7-0.0511%2 Oct
inferno13–7-0.0310%1 Oct
mirage13–10-0.0516%1 Oct
dust213–11-0.0212%1 Oct
ancient10–13-0.024%1 Oct
train16–140.048%1 Oct
nuke13–3-0.0210%27 Sept
mirage11–13-0.0210%27 Sept
train13–4-0.013%26 Sept
inferno13–160.029%26 Sept
train13–7-0.065%21 Sept
mirage13–80.0413%20 Sept
inferno2–13-0.0119%20 Sept
dust213–8-0.0427%20 Sept
overpass13–90.038%21 Jul
dust213–40.0215%21 Jul
ancient7–1-0.0614%21 Jul
mirage7–13-0.069%21 Jul
inferno11–13-0.057%21 Jul
train5–13-0.117%18 Jul
inferno13–11-0.037%18 Jul
train11–13-0.0414%17 Jul
dust214–160.0013%17 Jul
overpass13–5-0.024%17 Jul
anubis13–8-0.0114%11 Jul
mirage13–8-0.057%10 Jul
dust22–13-0.0817%10 Jul
train13–40.076%10 Jul
anubis9–13-0.061%9 Jul
nuke10–13-0.019%9 Jul
ancient13–100.0114%9 Jul
mirage11–130.0112%4 Jul
inferno7–13-0.0411%3 Jul
train13–6-0.0120%3 Jul
dust210–13-0.0016%3 Jul
ancient4–13-0.124%3 Jul
mirage13–8-0.0420%3 Jul
inferno7–13-0.076%3 Jul
dust213–5-0.0115%3 Jul
inferno13–6-0.025%29 Jun
dust212–120.0315%29 Jun
mirage3–13-0.072%29 Jun
ancient13–30.0210%29 Jun
nuke13–9-0.049%28 Jun
anubis13–7-0.0410%28 Jun
inferno13–7-0.0221%28 Jun
dust29–13-0.0514%28 Jun
mirage13–5-0.005%28 Jun
dust26–13-0.0430%27 Jun
inferno13–30.019%27 Jun
ancient12–120.0311%9 Jun
inferno7–13-0.016%9 Jun
inferno11–13-0.0413%8 Jun
anubis14–16-0.0316%8 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 →