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KillerACE

KillerACE — CS2 Stats

ZA76561198444217383[U:1:483951655]Steam profile ↗

1,200Tracked matches54%Win rate2021Tracked since
CSDB Rating2.9 Learning
Ladder ranks via Leetify

Performance scores

Aim10
Positioning42
Utility64

0–100 skill scores via Leetify.

Recent form

COLD48–48–4Last 10048%Win rateWTLLLLLWWT

Last 10 vs previous 10: -30pp win rate · -0.03 avg rating

Player DNA

Aim1.0
Aggression4.9
Utility6.4
Positioning4.2
Opening Duels2.0

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 79% playstyle similarity

Most alike: opening-duel success, 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. 696ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 48% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.0
Positioning4.2
Utility6.4
Mechanics0.0
Opening Duels2.0
Win Impact6.2

Composite 2.9/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time706ms+35ms
first ⅓ avg 671ms → last ⅓ avg 706ms
Headshot accuracy14.9%+0.6%
first ⅓ avg 14.3% → last ⅓ avg 14.9%

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

0.27Best rating — dust2 13–5
13–1Biggest win — dust2
4Longest win streak
7–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

infernoBest map · 62% over 13nukeWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B2913–1645%0.01
mirageB2815–1354%0.01
infernoA138–562%-0.03
nukeC125–742%-0.00
ancientB84–450%0.01
overpassC73–443%-0.02
anubis—10–10%-0.07
cache—10–10%-0.08
train—10–10%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

14.4%Headshot accuracy
31.4%Accuracy (enemy spotted)
33.2%Spray accuracy
48.0%Counter-strafing
16.9°Preaim
696msReaction time
35.8%T opening success
40.2%CT opening success
0.67Enemies flashed / flash
4.8%Flash assists
7.44HE damage / grenade
24.16Flashes / 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 16.8858° — 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 14.3689% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Nuke

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–60.065%16 Jun →
dust215–15-0.019%20 May →
anubis9–13-0.0718%20 May →
mirage6–13-0.0314%20 May →
cache9–13-0.0822%20 May →
dust25–13-0.0311%20 May →
mirage11–13-0.0122%8 Feb →
nuke16–13-0.0518%5 Feb →
nuke13–3-0.0510%5 Feb →
ancient15–15-0.016%28 Jan →
mirage13–100.0017%14 Jan →
overpass6–13-0.0810%14 Jan →
mirage13–10-0.0124%30 Nov →
mirage13–20.0821%29 Nov →
nuke13–50.076%29 Nov →
mirage14–16-0.0117%27 Nov →
dust213–80.0617%22 Nov →
mirage13–11-0.0914%22 Nov →
nuke9–13-0.007%20 Nov →
inferno9–13-0.0311%19 Nov →
dust211–13-0.0318%17 Nov →
dust22–13-0.0014%17 Nov →
mirage13–60.1110%17 Nov →
dust213–4-0.0221%16 Nov →
dust213–40.0717%16 Nov →
overpass13–6-0.057%16 Nov →
dust211–13-0.0317%16 Nov →
overpass13–100.0116%16 Nov →
dust212–16-0.0419%16 Nov →
mirage13–110.0812%16 Nov →
dust25–13-0.0112%16 Nov →
mirage13–70.0625%16 Nov →
dust26–13-0.0425%15 Nov →
inferno11–130.0213%15 Nov →
dust213–1-0.0217%15 Nov →
dust213–110.0627%15 Nov →
nuke13–20.0150%15 Nov →
nuke7–13-0.0211%14 Nov →
nuke13–20.0815%14 Nov →
nuke2–13-0.0115%13 Nov →
ancient13–80.0213%13 Nov →
inferno5–13-0.1110%13 Nov →
train5–13-0.0424%12 Nov →
nuke4–130.0611%12 Nov →
nuke4–13-0.0711%10 Nov →
ancient9–130.0514%10 Nov →
dust213–11-0.0915%6 Nov →
dust213–160.0120%6 Nov →
dust213–6-0.0211%30 Oct →
dust211–13-0.0012%29 Oct →
mirage13–40.0319%29 Oct →
overpass6–13-0.009%29 Oct →
inferno13–6-0.0420%29 Oct →
mirage4–13-0.0328%29 Oct →
inferno16–13-0.0413%28 Oct →
dust212–160.0421%26 Oct →
inferno11–13-0.0426%26 Oct →
dust27–13-0.0027%25 Oct →
mirage3–13-0.0725%22 Oct →
mirage13–60.0813%22 Oct →
inferno13–100.0620%22 Oct →
inferno13–3-0.0215%22 Oct →
ancient13–10-0.0714%22 Oct →
mirage12–16-0.0517%21 Oct →
ancient13–20.0015%21 Oct →
dust25–130.0316%21 Oct →
overpass8–130.0613%21 Oct →
mirage9–13-0.0520%20 Oct →
inferno13–1-0.057%20 Oct →
dust213–110.0425%20 Oct →
mirage13–50.0021%19 Oct →
dust213–2-0.0820%19 Oct →
mirage9–13-0.058%19 Oct →
ancient15–15-0.0115%19 Oct →
dust24–130.0414%16 Oct →
dust27–130.0416%16 Oct →
mirage9–13-0.067%16 Oct →
inferno13–10-0.0211%15 Oct →
overpass6–13-0.0515%13 Oct →
mirage13–9-0.0212%13 Oct →
nuke11–13-0.0416%12 Oct →
mirage6–13-0.0115%12 Oct →
overpass13–11-0.0312%8 Oct →
mirage11–13-0.0112%5 Oct →
ancient13–50.1325%4 Oct →
dust213–70.049%4 Oct →
nuke14–16-0.0117%3 Oct →
inferno16–12-0.0518%3 Oct →
dust213–9-0.007%2 Oct →
inferno13–110.0315%2 Oct →
mirage15–150.0118%2 Oct →
mirage13–70.0610%2 Oct →
inferno8–13-0.056%2 Oct →
mirage13–90.0816%1 Oct →
dust213–50.2717%1 Oct →
mirage13–20.0424%30 Sept →
ancient8–13-0.046%30 Sept →
dust213–8-0.0518%30 Sept →
dust27–13-0.0412%30 Sept →
mirage7–13-0.077%29 Sept →

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 →

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