KiLLemALL — CS2 Stats

76561197986973189[U:1:26707461]

1,845Tracked matches71%Win rate2020Tracked since
CSDB Rating7.2 StrongAggressive Rifler
Premier CS Rating25,124Top 25% of 819 CSDB-tracked playersRed band · top ~2.9% of ranked players (population est.)
CSDB Leaderboard#1917 of 12956 tracked
FaceitLevel 4 · 971 ELOTop 81.0% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGKiLLemALLFACEITLevel 4 · 971 ELOSTANDINGTop 81.0% of rankedPREMIER25,124 · Red bandcsdb.gg/stats

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Performance scores

Aim90
Positioning57
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY64297Last 10064%Win rateWLLWLWWWWW

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim9.0
Aggression7.3
Utility4.8
Positioning5.7
Opening Duels2.2
Clutch3.0

Sharp aimer

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

ropz

Plays most like ropz 92% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success.

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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 33 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.

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

Aim9.0
Positioning5.7
Utility4.8
Mechanics6.9
Opening Duels2.2
Win Impact10.0

Composite 7.2/10 (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 rating0.04+0.01
first ⅓ avg 0.03 → last ⅓ avg 0.04
Reaction time425ms−133ms
first ⅓ avg 557ms → last ⅓ avg 425ms
Headshot accuracy13.5%−3.3%
first ⅓ avg 16.8% → last ⅓ avg 13.5%

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

0.24Best rating — nuke 13–11
131Biggest win — dust2
11Longest win streak
139In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 83% over 6ancientWeakest map · 50% over 16
MapGradePlayedRecordWin rateAvg rating
dust2S2416867%0.05
ancientB168850%0.04
mirageS1512380%0.05
cacheB137654%0.03
nukeS139469%0.03
infernoA85363%0.03
anubisS65183%0.04
vertigo31233%-0.01
train110100%0.01
overpass1010%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (50% over 16). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

210Matches
49%Win rate
1.02Avg K/D
75.3ADR
36%Headshot %

Clutches & streaks

35%1v1 clutch win
19%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Dust26055%1.0514.7
Mirage5056%1.0314.2
Ancient2335%0.8313.0
Cache2339%0.9816.5
Anubis1457%1.0814.4
Nuke1331%0.7812.2
Overpass450%0.8313.0
Inferno475%1.0715.8

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.

12.5%Headshot accuracy
40.3%Accuracy (enemy spotted)
39.7%Spray accuracy
81.1%Counter-strafing
6.8°Preaim
425msReaction time
32.6%T opening success
45.0%CT opening success
0.54Enemies flashed / flash
3.0%Flash assists
7.24HE damage / grenade
6.82Flashes / 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 12.5458% — 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 32.5517% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
inferno9–7-0.0138%27 Aug
inferno7–9-0.0115%27 Aug
mirage11–13-0.0613%25 Aug
inferno9–40.0213%25 Aug
cache11–130.0014%24 Aug
mirage16–140.199%21 Aug
mirage13–80.1318%21 Aug
mirage13–90.0314%20 Aug
dust213–6-0.038%19 Aug
vertigo13–100.1017%19 Aug
mirage13–30.1517%19 Aug
cache6–13-0.0511%18 Aug
dust213–80.018%17 Aug
dust213–10.0840%17 Aug
nuke13–100.0718%17 Aug
ancient16–140.0413%17 Aug
ancient13–60.073%17 Aug
cache13–60.0212%17 Aug
dust213–90.0710%17 Aug
mirage13–11-0.0211%17 Aug
ancient13–100.189%16 Aug
nuke7–13-0.0511%16 Aug
cache12–12-0.0211%16 Aug
ancient3–130.018%15 Aug
dust20–100.000%15 Aug
ancient13–90.0815%15 Aug
dust21–13-0.0817%15 Aug
dust215–150.0613%14 Aug
cache13–80.1514%14 Aug
ancient13–100.0519%14 Aug
anubis13–80.0912%14 Aug
ancient10–13-0.008%14 Aug
cache13–10-0.028%14 Aug
dust213–5-0.0119%13 Aug
ancient13–11-0.0211%12 Aug
ancient3–13-0.0417%12 Aug
vertigo12–12-0.087%12 Aug
mirage10–2-0.037%12 Aug
dust213–110.0310%12 Aug
cache15–150.0111%10 Aug
nuke13–10-0.0115%10 Aug
nuke9–130.0610%10 Aug
mirage16–130.1616%10 Aug
cache14–160.038%10 Aug
dust213–20.1814%10 Aug
cache13–100.1118%9 Aug
dust213–90.025%9 Aug
mirage13–80.0111%9 Aug
nuke13–10-0.0713%9 Aug
inferno10–13-0.0111%8 Aug
dust212–120.1414%8 Aug
dust213–110.1211%8 Aug
dust213–80.1216%8 Aug
ancient11–130.106%8 Aug
dust25–13-0.0012%8 Aug
nuke13–90.057%8 Aug
inferno13–40.1020%8 Aug
dust213–30.187%8 Aug
mirage13–90.0218%8 Aug
nuke9–13-0.0213%8 Aug
anubis11–13-0.0313%7 Aug
ancient11–130.088%7 Aug
nuke13–110.2414%7 Aug
ancient13–90.1812%7 Aug
dust27–13-0.0625%7 Aug
nuke13–9-0.0515%6 Aug
train13–50.0112%6 Aug
overpass12–120.0412%6 Aug
anubis13–90.0616%5 Aug
ancient7–130.045%4 Aug
dust213–30.0762%4 Aug
vertigo10–13-0.0515%4 Aug
mirage13–10-0.0422%4 Aug
dust213–40.0819%4 Aug
dust24–130.0419%3 Aug
ancient7–13-0.0517%3 Aug
mirage13–100.0311%3 Aug
cache15–150.0412%3 Aug
cache16–12-0.0023%3 Aug
cache16–120.0315%1 Aug
nuke13–100.0720%30 Jul
mirage13–40.1319%29 Jul
anubis13–90.098%29 Jul
cache13–100.0426%29 Jul
nuke13–100.1322%29 Jul
ancient13–11-0.028%29 Jul
dust213–110.0824%29 Jul
inferno13–80.1610%28 Jul
dust213–110.0215%28 Jul
nuke9–130.0522%28 Jul
mirage14–160.0116%28 Jul
anubis13–10-0.0427%27 Jul
dust211–130.0317%27 Jul
inferno16–140.0612%25 Jul
anubis13–90.0812%25 Jul
mirage9–130.0612%25 Jul
ancient10–130.0217%25 Jul
nuke13–11-0.0311%25 Jul
dust213–7-0.0510%25 Jul
inferno3–13-0.100%25 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches11-Win Streak
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