KEETHROCKS — CS2 Stats

76561198245096270[U:1:284830542]✓ No bans

1,180Tracked matches40%Win rate2021Tracked since
2,825Hours in CS5Hrs last 2 wks
CSDB Rating4.4 DevelopingHybrid Rifler
Ladder ranks via Leetify

Performance scores

Aim74
Positioning46
Utility11

0–100 skill scores via Leetify.

Recent form

STEADY48511Last 10048%Win rateWLLWWLLLLW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

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

Aim7.4
Aggression5.6
Utility1.1
Positioning4.6
Opening Duels1.6
Clutch2.4

Strong CT-side openerLimited utility dependence

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 80% playstyle similarity

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

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

Areas to improve

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

T-side openings. Opening success drops from 45% on CT to 28% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 611ms 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

Aim7.4
Positioning4.6
Utility1.1
Mechanics6.2
Opening Duels1.8
Win Impact1.7

Composite 4.4/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.03
first ⅓ avg 0.01 → last ⅓ avg -0.02
Reaction time614ms−49ms
first ⅓ avg 662ms → last ⅓ avg 614ms
Headshot accuracy20.5%−2.7%
first ⅓ avg 23.2% → last ⅓ avg 20.5%

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

0.13Best rating — overpass 13–7
130Biggest win — mirage
5Longest win streak
611In matches decided by ≤2 rounds
11Overtime games

Map breakdown

trainBest map · 60% over 5infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageA33181555%-0.01
ancientB22101245%-0.02
overpassC146843%0.00
nukeB105550%0.01
infernoD71614%-0.02
dust2A74357%-0.01
trainA53260%0.01
anubis21150%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

71,518Lifetime kills
0.98K/D
3,087Matches
48.7%Match win rate · Top 50% of tracked players
49.0%Headshot % · Top 50% of tracked players
16.3%Shot accuracy · Top 25% of tracked players
8,164MVPs
1,645Hours (in match)
3,452Bombs planted
873Bombs defused

Most-used weapons

AK-4725,414
AWP6,262
Tec-92,099
FAMAS1,836
P901,475

Lifetime map wins

5,939dust2
4,194inferno
1,411nuke
682train
655cbble
208vertigo
106lake
104office

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

Faceit stats

Combat

848Matches
50%Win rate
1.05Avg K/D
73.6ADR
47%Headshot %

Clutches & streaks

32%1v1 clutch win
17%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage15849%1.0215.8
Ancient11253%0.9715.2
Inferno7355%1.0214.2
Anubis7251%1.1416.0
Nuke4448%0.9214.5
Dust24134%0.8412.5
Overpass1753%0.8314.5
Train1553%1.2015.3

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.

20.5%Headshot accuracy
34.5%Accuracy (enemy spotted)
42.7%Spray accuracy
78.0%Counter-strafing
9.4°Preaim
611msReaction time
27.9%T opening success
44.6%CT opening success
0.11Enemies flashed / flash
0.0%Flash assists
10.15HE damage / grenade
0.81Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.1072 — below the 0.5 mark we flag

    Grenade Lineups
  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 27.8912% — below the 40% mark we flag

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–9-0.0022%26 Aug
mirage6–13-0.0324%26 Aug
anubis3–13-0.0711%24 Aug
nuke13–10-0.0221%17 Jul
overpass13–6-0.0320%13 Jun
ancient8–13-0.0315%21 May
mirage1–13-0.0811%21 May
overpass1–13-0.0515%30 Apr
inferno3–13-0.0117%27 Apr
mirage19–160.0227%1 Mar
inferno3–13-0.0520%28 Feb
ancient8–13-0.0615%28 Feb
mirage13–80.0419%28 Feb
mirage7–13-0.0541%21 Feb
mirage11–13-0.028%21 Feb
mirage13–8-0.0135%4 Feb
overpass8–130.0221%20 Oct
train8–13-0.0021%20 Oct
ancient13–9-0.0513%9 Oct
ancient6–13-0.0319%6 Oct
dust24–13-0.0331%5 Oct
ancient7–13-0.0026%5 Oct
train13–10.0218%5 Oct
ancient13–10-0.0122%3 Oct
mirage4–13-0.0919%3 Oct
mirage13–90.0214%3 Oct
overpass13–4-0.0520%2 Oct
ancient14–160.0222%1 Oct
overpass4–13-0.0232%30 Sept
train16–140.0214%22 Sept
nuke13–10-0.0123%22 Sept
mirage7–130.0328%22 Sept
ancient13–6-0.0113%22 Sept
mirage13–10.0013%20 Sept
ancient9–130.037%19 Sept
ancient13–60.0319%11 Sept
ancient5–13-0.0119%9 Sept
dust29–130.0122%29 Aug
ancient13–5-0.0156%29 Aug
mirage9–130.0226%26 Aug
inferno1–13-0.0924%23 Aug
inferno4–13-0.0726%21 Aug
mirage11–13-0.0128%21 Aug
ancient3–13-0.0710%17 Aug
mirage5–13-0.0526%15 Aug
mirage13–5-0.048%14 Aug
nuke11–13-0.0114%11 Aug
inferno7–130.0231%11 Aug
dust27–13-0.0836%8 Aug
mirage13–16-0.0445%8 Aug
overpass13–5-0.0123%7 Aug
mirage13–0-0.0017%7 Aug
overpass13–10-0.0115%7 Aug
mirage13–10-0.0138%6 Aug
mirage16–14-0.0324%6 Aug
inferno9–130.0632%5 Aug
train13–90.0219%4 Aug
ancient9–13-0.0416%3 Aug
mirage11–13-0.0528%2 Aug
train13–160.0033%2 Aug
mirage13–9-0.0126%2 Aug
mirage6–13-0.0545%31 Jul
mirage13–7-0.0225%31 Jul
ancient13–7-0.0223%31 Jul
dust213–50.0031%31 Jul
mirage14–160.0422%31 Jul
overpass9–13-0.0525%31 Jul
mirage15–150.0117%31 Jul
dust213–110.0320%25 Jul
overpass13–70.1333%24 Jul
mirage13–110.0325%24 Jul
ancient13–6-0.058%24 Jul
inferno13–8-0.0230%24 Jul
overpass9–13-0.0023%24 Jul
nuke11–130.0321%24 Jul
dust213–100.0425%23 Jul
mirage13–11-0.0520%23 Jul
ancient13–10-0.0724%23 Jul
overpass5–13-0.0133%22 Jul
dust216–13-0.0216%22 Jul
ancient6–13-0.0127%22 Jul
mirage13–60.0532%22 Jul
nuke13–30.0344%22 Jul
ancient13–4-0.0322%22 Jul
overpass7–130.0421%22 Jul
nuke5–13-0.0120%22 Jul
mirage13–7-0.0021%21 Jul
nuke13–80.0219%21 Jul
ancient3–13-0.0014%21 Jul
mirage11–130.0425%20 Jul
overpass11–130.0316%18 Jul
ancient14–16-0.0122%18 Jul
nuke13–90.0325%18 Jul
mirage13–100.0726%18 Jul
ancient11–00.0021%18 Jul
mirage13–110.0219%18 Jul
nuke10–130.0225%18 Jul
nuke14–16-0.0119%17 Jul
overpass13–90.0628%16 Jul
mirage13–80.0323%16 Jul

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 →