Koimeow — CS2 Stats

76561199036695523[U:1:1076429795]

838Tracked matches39%Win rate2025Tracked since
CSDB Rating3.2 Learning
Premier CS Rating9,930Light Blue band · top ~55.2% of ranked players (population est.)
CSDB Leaderboard#5850 of 7950 tracked
Ladder ranks via Leetify

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CSDB.GGKoimeowPREMIER9,930 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim40
Positioning42
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY44497Last 10044%Win rateWLWWWLLLLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Aim4.0
Aggression2.5
Utility4.6
Positioning4.2
Opening Duels0.0
Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 74% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-fight frequency; 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. 650ms 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

Aim4.0
Positioning4.2
Utility4.6
Mechanics4.8
Opening Duels0.1
Win Impact1.4

Composite 3.2/10 (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 -0.04 → last ⅓ avg -0.03
Reaction time641ms−47ms
first ⅓ avg 687ms → last ⅓ avg 641ms
Headshot accuracy12.3%−5.2%
first ⅓ avg 17.5% → last ⅓ avg 12.3%

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.

Highlights

0.12Best rating — office 13–5
130Biggest win — train
4Longest win streak
64In matches decided by ≤2 rounds
5Overtime games

Map breakdown

ancientBest map · 86% over 7dust2Weakest map · 27% over 30
MapGradePlayedRecordWin rateAvg rating
dust2D3082227%-0.05
mirageC125742%-0.03
nukeB115645%-0.03
cacheA95456%-0.03
officeC83538%-0.01
ancientS76186%-0.01
infernoC73443%-0.03
trainA53260%-0.03
vertigo3030%-0.01
shelter32167%0.03
boulder21150%-0.03
anubis220100%-0.04
eldorado110100%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (27% over 30). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

18Matches
39%Win rate
0.63Avg K/D
48.6ADR
34%Headshot %

Clutches & streaks

14%1v1 clutch win
0%1v2 clutch win
3Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient838%0.699.4
Dust2540%0.5010.2
Inferno250%0.447.0
Mirage250%0.9810.0
Overpass10%0.578.0

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.

13.1%Headshot accuracy
35.9%Accuracy (enemy spotted)
38.6%Spray accuracy
71.7%Counter-strafing
14.2°Preaim
650msReaction time
27.3%T opening success
31.1%CT opening success
0.60Enemies flashed / flash
1.9%Flash assists
13.81HE damage / grenade
9.85Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 14.1963° — above the 12° mark we flag

    Aim Training
  2. 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 13.1037% — below the 15% mark we flag

    Aim Training
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 30 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke13–11-0.0126%28 Aug
office10–13-0.103%28 Aug
dust213–100.0226%27 Aug
nuke12–60.045%27 Aug
ancient13–3-0.029%27 Aug
cache4–13-0.018%26 Aug
mirage9–13-0.0613%26 Aug
nuke11–130.037%25 Aug
vertigo10–13-0.0320%23 Aug
office9–130.049%23 Aug
eldorado9–5-0.022%23 Aug
boulder13–11-0.0216%20 Aug
vertigo12–12-0.0025%20 Aug
ancient4–13-0.0114%20 Aug
office3–13-0.0721%20 Aug
dust21–13-0.075%19 Aug
nuke1–9-0.0610%19 Aug
shelter13–8-0.025%19 Aug
mirage7–13-0.0016%19 Aug
vertigo12–12-0.0114%18 Aug
dust213–2-0.0414%18 Aug
inferno5–13-0.0613%18 Aug
dust25–13-0.0913%18 Aug
mirage6–13-0.133%18 Aug
nuke1–13-0.0513%16 Aug
dust26–13-0.0920%16 Aug
cache13–7-0.0119%16 Aug
nuke13–10-0.049%16 Aug
dust213–16-0.0313%15 Aug
train13–5-0.053%15 Aug
cache13–70.0410%15 Aug
train12–120.019%12 Aug
train4–13-0.0911%12 Aug
train13–0-0.025%12 Aug
boulder12–12-0.037%12 Aug
office4–13-0.034%12 Aug
anubis13–10-0.058%12 Aug
cache2–13-0.057%12 Aug
ancient13–3-0.0014%12 Aug
mirage10–13-0.0814%12 Aug
dust210–13-0.0616%9 Aug
office13–90.037%9 Aug
dust25–13-0.0510%9 Aug
cache13–60.0011%7 Aug
office13–50.128%7 Aug
shelter13–80.0916%7 Aug
mirage4–13-0.0411%7 Aug
dust28–13-0.0818%7 Aug
office13–6-0.0212%6 Aug
shelter6–130.0311%6 Aug
dust213–3-0.0227%6 Aug
mirage13–10-0.0019%6 Aug
inferno13–40.0429%6 Aug
mirage3–13-0.0417%6 Aug
dust23–13-0.1016%6 Aug
dust21–40.0225%6 Aug
mirage13–60.0412%6 Aug
dust23–13-0.138%6 Aug
nuke13–1-0.0117%5 Aug
inferno13–20.0113%5 Aug
cache8–13-0.0910%5 Aug
mirage13–8-0.0219%5 Aug
dust213–6-0.019%5 Aug
dust27–13-0.027%4 Aug
nuke5–13-0.0516%4 Aug
inferno11–130.018%4 Aug
office5–130.009%4 Aug
dust28–13-0.0812%3 Aug
dust22–130.024%2 Aug
cache13–3-0.039%2 Aug
nuke4–13-0.122%2 Aug
inferno16–13-0.059%2 Aug
train13–40.004%1 Aug
dust213–60.038%1 Aug
nuke13–11-0.0415%1 Aug
dust212–120.0324%1 Aug
nuke7–13-0.0114%31 Jul
dust215–15-0.0420%31 Jul
dust20–13-0.0310%30 Jul
anubis13–11-0.0319%30 Jul
mirage0–2-0.09100%30 Jul
dust28–13-0.0116%29 Jul
ancient2–00.06100%29 Jul
dust25–13-0.1321%29 Jul
ancient13–70.0011%29 Jul
dust213–6-0.0027%28 Jul
dust210–13-0.1011%27 Jul
inferno0–13-0.1012%27 Jul
dust211–13-0.124%26 Jul
inferno15–15-0.0616%26 Jul
mirage13–8-0.066%26 Jul
dust210–13-0.0413%26 Jul
cache8–13-0.098%25 Jul
ancient13–8-0.056%25 Jul
dust213–11-0.0218%25 Jul
dust24–13-0.107%25 Jul
ancient13–10-0.088%24 Jul
mirage4–00.1133%24 Jul
dust216–12-0.057%24 Jul
cache13–4-0.075%24 Jul

Match data via Leetify.

Recent teammates

Milestones

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