keet — CS2 Stats

76561198194284450[U:1:234018722]

575Tracked matches66%Win rate2020Tracked since
CSDB Rating7.0 StrongHybrid Rifler
Premier CS Rating26,032Top 25% of 29,473 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#3871 of 49891 tracked
Ladder ranks via Leetify

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CSDB.GGkeetPREMIER26,032 · Red bandcsdb.gg/stats

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Performance scores

Aim80
Positioning49
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY52444Last 10052%Win rateLWWLLWLLWW

Last 10 vs previous 10: -30pp win rate · -0.02 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim8.0
Aggression5.5
Utility4.1
Positioning4.9
Opening Duels3.2
Clutch5.0

Excellent counter-strafingEffective flashes

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 89% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: 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

Counter-strafing. 90% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Positioning. Positioning trails aim by 31 points — deaths here waste a strong aim profile.

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

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

Aim8.0
Positioning4.9
Utility4.1
Mechanics8.9
Opening Duels3.2
Win Impact10.0

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 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 time643ms−35ms
first ⅓ avg 678ms → last ⅓ avg 643ms
Headshot accuracy25.5%−4.0%
first ⅓ avg 29.5% → last ⅓ avg 25.5%

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

0.14Best rating — train 13–3
132Biggest win — mirage
7Longest win streak
139In matches decided by ≤2 rounds
16Overtime games

Map breakdown

ancientBest map · 69% over 16mirageWeakest map · 34% over 29
MapGradePlayedRecordWin rateAvg rating
mirageD29101934%-0.02
dust2B23121152%-0.02
ancientS1611569%-0.01
nukeS139469%-0.01
infernoB63350%-0.00
overpassC52340%-0.05
anubis43175%0.00
train31233%0.03
cache110100%0.07

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (34% over 29). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

256Matches
53%Win rate
1.07Avg K/D
84.3ADR
56%Headshot %

Clutches & streaks

45%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage4151%1.1217.6
Anubis2846%0.9815.9
Inferno2259%1.0416.4
Dust22055%1.2320.1
Vertigo1942%1.1619.6
Nuke1650%1.3417.4
Ancient1080%1.1716.7
Train250%0.9222.5

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.

25.2%Headshot accuracy
33.5%Accuracy (enemy spotted)
37.4%Spray accuracy
90.1%Counter-strafing
8.9°Preaim
650msReaction time
37.8%T opening success
48.1%CT opening success
0.74Enemies flashed / flash
1.5%Flash assists
6.10HE damage / grenade
5.26Flashes / 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 37.7634% — below the 40% mark we flag

Spend your practice time on Mirage

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

34% win rate across 29 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage6–130.0143%6 Jun
mirage13–80.0428%6 Jun
ancient13–60.0119%6 Jun
mirage2–2-0.1620%6 Jun
nuke11–13-0.0133%6 Jun
mirage13–110.0122%4 Jun
mirage4–13-0.1419%2 Jun
inferno7–13-0.0127%2 Jun
ancient13–90.0419%1 Jun
nuke16–12-0.0229%1 Jun
ancient13–11-0.0331%31 May
nuke13–5-0.0416%31 May
anubis13–6-0.0117%20 May
inferno13–50.0228%20 May
ancient13–60.0621%20 May
inferno5–13-0.0619%19 May
nuke13–8-0.0527%19 May
overpass6–13-0.0531%18 May
mirage13–20.0620%18 May
dust216–120.0120%18 May
mirage15–150.0531%17 May
dust213–11-0.0120%17 May
dust213–110.0225%17 May
dust213–7-0.0120%17 May
anubis13–80.0630%17 May
mirage10–13-0.0816%15 May
dust213–7-0.0331%15 May
mirage13–16-0.0623%15 May
nuke13–110.0133%14 May
mirage10–13-0.0327%14 May
ancient9–13-0.0138%14 May
overpass13–10-0.0235%14 May
mirage11–13-0.0424%14 May
anubis5–13-0.0527%14 May
dust213–11-0.0232%13 May
ancient13–7-0.0718%13 May
dust215–150.0121%9 May
mirage11–13-0.0229%9 May
nuke13–8-0.0129%8 May
ancient5–13-0.0517%8 May
anubis13–100.0116%7 May
dust24–13-0.0241%6 May
dust213–40.0132%5 May
mirage15–15-0.0030%5 May
mirage9–13-0.0821%4 May
dust210–13-0.0832%4 May
nuke13–7-0.0726%4 May
nuke13–50.0531%4 May
nuke2–9-0.0438%1 May
mirage13–50.0422%1 May
dust213–8-0.0519%1 May
dust210–13-0.0420%1 May
mirage5–11-0.0329%1 May
inferno13–11-0.0246%1 May
ancient13–9-0.0224%30 Apr
inferno8–13-0.0347%30 Apr
dust28–13-0.0425%30 Apr
dust213–11-0.0530%30 Apr
dust213–8-0.0239%30 Apr
mirage8–13-0.0322%30 Apr
dust28–13-0.0026%30 Apr
overpass4–13-0.0933%30 Apr
mirage14–16-0.0218%30 Apr
ancient13–7-0.0711%30 Apr
mirage16–14-0.0129%29 Apr
ancient1–13-0.1014%29 Apr
ancient13–11-0.0218%29 Apr
dust212–16-0.0724%29 Apr
ancient13–11-0.0648%29 Apr
cache13–40.0743%28 Apr
mirage16–14-0.0223%28 Apr
mirage13–50.0840%28 Apr
mirage13–80.0121%27 Apr
nuke16–120.0432%27 Apr
nuke13–160.0131%27 Apr
nuke14–16-0.0331%26 Apr
dust216–14-0.0125%26 Apr
nuke13–70.0428%26 Apr
mirage9–13-0.0233%2 Feb
mirage10–13-0.0029%1 Feb
ancient13–50.0629%1 Feb
ancient13–40.0717%31 Jan
inferno13–20.1034%31 Jan
mirage11–13-0.0331%31 Jan
ancient9–13-0.0028%5 Jan
mirage12–50.0326%5 Jan
train13–30.1442%5 Jan
dust213–5-0.0332%5 Jan
mirage7–13-0.0225%5 Jan
mirage13–5-0.0222%4 Jan
dust29–13-0.0229%4 Jan
train3–130.0024%1 Jan
dust22–130.0239%1 Jan
dust213–16-0.0426%1 Jan
mirage7–130.0323%31 Dec
train8–13-0.0524%30 Dec
dust215–15-0.0628%30 Dec
overpass11–13-0.0933%30 Dec
ancient11–130.0525%30 Dec
overpass13–8-0.0129%30 Dec

Match data via Leetify.

Milestones

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