1 Kilo Hack — CS2 Stats

76561198052742562[U:1:92476834]

924Tracked matches43%Win rate2023Tracked since
CSDB Rating3.5 Learning
Premier CS Rating7,710Light Blue band · top ~65.8% of ranked players (population est.)
CSDB Leaderboard#26685 of 35626 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

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CSDB.GG1 Kilo HackFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER7,710 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim41
Positioning41
Utility55

0–100 skill scores via Leetify.

Recent form

STEADY34606Last 10034%Win rateWLWWLLLTWL

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

Player DNA

Aim4.1
Aggression3.7
Utility5.5
Positioning4.1
Opening Duels0.0
Clutch3.8

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 78% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower positioning profile; 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. 694ms 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

Aim4.1
Positioning4.1
Utility5.5
Mechanics4.8
Opening Duels0.1
Win Impact2.6

Composite 3.5/10 (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+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time679ms−78ms
first ⅓ avg 757ms → last ⅓ avg 679ms
Headshot accuracy12.1%−3.4%
first ⅓ avg 15.5% → last ⅓ avg 12.1%

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.

Highlights

0.13Best rating — inferno 1–5
132Biggest win — inferno
4Longest win streak
86In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 45% over 11dust2Weakest map · 19% over 21
MapGradePlayedRecordWin rateAvg rating
infernoD42142833%-0.02
dust2D2141719%-0.03
mirageC135838%-0.03
ancientB115645%-0.04
cacheD51420%-0.03
anubis330100%0.01
overpass3030%-0.04
train110100%0.01
nuke110100%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (19% over 21). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

470Matches
48%Win rate
1.01Avg K/D
73.9ADR
35%Headshot %

Clutches & streaks

39%1v1 clutch win
17%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno11255%1.0513.8
Mirage10646%0.9613.7
Dust29253%0.9613.6
Ancient5444%1.0115.9
Anubis4738%1.0615.0
Vertigo2638%1.0014.5
Nuke1443%0.7910.8
Train922%0.6912.9

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.

12.9%Headshot accuracy
35.2%Accuracy (enemy spotted)
34.3%Spray accuracy
71.5%Counter-strafing
11.3°Preaim
694msReaction time
26.3%T opening success
30.5%CT opening success
0.73Enemies flashed / flash
5.3%Flash assists
12.92HE damage / grenade
5.96Flashes / 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 12.9303% — 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 26.2616% — 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.

19% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–70.068%28 Aug
inferno3–9-0.184%22 Aug
inferno9–2-0.0218%22 Aug
train13–80.0112%18 Aug
mirage5–13-0.0128%15 Aug
dust25–13-0.0514%15 Aug
dust27–13-0.0418%15 Aug
dust215–150.0117%14 Aug
inferno13–100.0113%14 Aug
ancient2–13-0.0115%13 Aug
dust211–13-0.0020%11 Aug
dust23–13-0.0719%11 Aug
inferno8–13-0.043%10 Aug
ancient6–13-0.0418%7 Aug
dust213–11-0.0112%7 Aug
inferno6–90.0614%4 Aug
inferno3–9-0.088%4 Aug
mirage9–13-0.0813%31 Jul
ancient15–15-0.066%31 Jul
dust29–13-0.058%31 Jul
dust29–13-0.0611%26 Jul
ancient13–11-0.048%26 Jul
dust216–140.0113%25 Jul
mirage4–13-0.065%25 Jul
cache8–13-0.0610%25 Jul
inferno13–3-0.014%25 Jul
nuke13–11-0.0421%25 Jul
inferno13–70.0317%24 Jul
mirage8–130.0013%24 Jul
ancient13–70.017%24 Jul
inferno3–9-0.068%18 Jul
inferno5–9-0.086%18 Jul
inferno8–80.0512%18 Jul
cache5–13-0.0112%14 Jul
inferno7–9-0.0213%7 Jul
inferno8–8-0.1123%6 Jul
dust29–13-0.0315%2 Jul
inferno13–90.0419%30 Jun
anubis13–90.0713%30 Jun
ancient13–6-0.0517%30 Jun
overpass3–13-0.0412%28 Jun
mirage13–70.0613%27 Jun
inferno8–8-0.0019%27 Jun
inferno9–6-0.100%26 Jun
inferno5–9-0.0120%25 Jun
inferno1–50.1321%19 Jun
inferno12–16-0.037%19 Jun
dust213–70.0211%18 Jun
inferno16–140.0420%13 Jun
inferno9–13-0.0415%11 Jun
inferno10–13-0.0219%10 Jun
dust213–9-0.103%10 Jun
ancient3–13-0.1011%10 Jun
ancient13–5-0.0527%10 Jun
inferno9–70.056%10 Jun
dust29–13-0.0424%4 Jun
inferno13–70.027%4 Jun
inferno6–13-0.037%3 Jun
inferno10–130.012%3 Jun
inferno16–14-0.018%9 May
inferno10–13-0.0314%9 May
dust210–13-0.0217%9 May
mirage13–70.0330%9 May
inferno2–13-0.0511%8 May
mirage9–13-0.0414%8 May
dust210–13-0.0715%8 May
anubis13–9-0.0213%2 May
inferno13–20.1019%2 May
mirage13–90.0113%2 May
inferno10–13-0.038%2 May
ancient13–80.057%2 May
cache10–13-0.089%30 Apr
cache11–13-0.0311%30 Apr
cache13–80.0423%30 Apr
mirage11–13-0.0318%22 Apr
dust25–13-0.0316%18 Apr
overpass6–13-0.1014%17 Apr
inferno5–90.0222%11 Apr
inferno1–9-0.2550%9 Apr
ancient14–16-0.036%5 Apr
inferno4–130.0126%4 Apr
mirage8–13-0.0512%4 Apr
ancient8–11-0.0816%4 Apr
dust215–150.0411%4 Apr
dust25–13-0.0814%31 Mar
inferno4–13-0.087%28 Mar
overpass7–130.0319%28 Mar
inferno2–9-0.1514%28 Mar
inferno7–9-0.0217%28 Mar
dust28–130.0311%28 Mar
mirage16–14-0.0215%27 Mar
mirage13–7-0.0412%27 Mar
inferno4–10.0333%27 Mar
inferno13–40.0413%27 Mar
dust25–13-0.0724%27 Mar
dust29–13-0.0415%26 Mar
anubis13–10-0.0114%26 Mar
inferno5–9-0.060%24 Mar
mirage2–13-0.108%24 Mar
inferno1–7-0.0414%23 Mar

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 →