❂ KillerBurger — CS2 Stats

76561198988357630[U:1:1028091902]

2,759Tracked matches55%Win rate2021Tracked since
CSDB Rating3.7 Learning
Premier CS Rating13,328Blue band · top ~37.3% of ranked players (population est.)
CSDB Leaderboard#12054 of 17602 tracked
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GG❂ KillerBurgerPREMIER13,328 · Blue bandcsdb.gg/stats

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Performance scores

Aim30
Positioning39
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY53434Last 10053%Win rateWLWLWWLLWW

Last 10 vs previous 10: +0pp win rate · -0.04 avg rating

Player DNA

Aim3.0
Aggression4.4
Utility5.9
Positioning3.9
Opening Duels0.8

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 79% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 651ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% 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

Aim3.0
Positioning3.9
Utility5.9
Mechanics3.5
Opening Duels1.3
Win Impact6.7

Composite 3.7/10 (Learning), 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-0.02−0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time647ms−54ms
first ⅓ avg 702ms → last ⅓ avg 647ms
Headshot accuracy16.2%−1.3%
first ⅓ avg 17.5% → last ⅓ avg 16.2%

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

0.16Best rating — cache 13–8
131Biggest win — inferno
5Longest win streak
77In matches decided by ≤2 rounds
10Overtime games

Map breakdown

infernoBest map · 73% over 15ancientWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B27131448%-0.02
cacheB179853%-0.01
infernoS1511473%-0.02
ancientD124833%-0.03
nukeA95456%-0.01
anubisS96367%-0.02
mirageA74357%-0.02
train2020%0.02
vertigo21150%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Ancient 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.

16.9%Headshot accuracy
28.3%Accuracy (enemy spotted)
31.1%Spray accuracy
65.8%Counter-strafing
12.0°Preaim
651msReaction time
26.2%T opening success
40.4%CT opening success
0.70Enemies flashed / flash
3.9%Flash assists
8.60HE damage / grenade
7.49Flashes / 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 26.2289% — below the 40% mark we flag

Spend your practice time on Ancient

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

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
inferno13–9-0.0319%28 Aug
dust28–13-0.0223%28 Aug
cache16–140.039%26 Aug
mirage10–13-0.0415%24 Aug
cache13–6-0.0617%23 Aug
inferno13–11-0.049%23 Aug
dust27–13-0.0823%23 Aug
dust23–13-0.0710%23 Aug
nuke13–5-0.0324%22 Aug
cache13–8-0.0617%22 Aug
dust216–14-0.0313%22 Aug
cache7–13-0.0117%22 Aug
inferno13–70.0115%22 Aug
nuke11–130.0125%22 Aug
mirage11–13-0.0414%21 Aug
anubis13–7-0.0115%21 Aug
cache13–16-0.0414%21 Aug
ancient13–100.0126%20 Aug
cache13–8-0.0213%20 Aug
dust213–50.0724%20 Aug
inferno10–13-0.0519%20 Aug
cache10–13-0.0416%19 Aug
inferno13–9-0.0219%19 Aug
dust213–30.0413%19 Aug
cache15–15-0.0218%18 Aug
anubis14–16-0.0117%18 Aug
inferno13–10-0.0317%17 Aug
cache13–100.0026%17 Aug
dust210–130.028%17 Aug
inferno9–13-0.0817%17 Aug
mirage13–2-0.025%16 Aug
ancient15–150.0316%16 Aug
cache9–13-0.024%16 Aug
train8–13-0.0019%16 Aug
cache13–90.048%16 Aug
ancient5–13-0.0426%15 Aug
nuke13–10-0.0621%15 Aug
dust29–130.0116%15 Aug
ancient13–10-0.0227%14 Aug
anubis13–8-0.0319%14 Aug
dust213–4-0.0214%14 Aug
anubis5–13-0.0517%13 Aug
ancient3–13-0.0718%13 Aug
inferno13–60.0415%13 Aug
dust210–130.0014%13 Aug
dust25–13-0.084%12 Aug
cache8–13-0.0720%12 Aug
inferno15–15-0.0513%11 Aug
dust213–100.0210%11 Aug
anubis13–8-0.089%11 Aug
dust28–13-0.057%11 Aug
anubis13–2-0.0224%10 Aug
dust213–9-0.0113%10 Aug
ancient3–13-0.069%10 Aug
nuke13–40.0410%10 Aug
cache13–80.0826%9 Aug
inferno13–10-0.0226%9 Aug
dust213–7-0.0214%9 Aug
train6–130.0521%9 Aug
dust212–70.0323%9 Aug
dust29–130.0024%7 Aug
nuke6–13-0.0318%7 Aug
dust213–10-0.0316%7 Aug
inferno13–40.0332%7 Aug
ancient3–13-0.0415%7 Aug
dust213–9-0.1018%7 Aug
cache14–16-0.0916%6 Aug
nuke10–13-0.0911%6 Aug
dust210–13-0.0911%5 Aug
inferno13–4-0.0915%5 Aug
nuke13–8-0.0125%5 Aug
mirage13–9-0.0322%5 Aug
ancient13–5-0.0324%5 Aug
dust213–11-0.0313%4 Aug
ancient11–130.0012%4 Aug
vertigo13–7-0.0916%4 Aug
dust213–11-0.0220%3 Aug
dust27–13-0.0123%3 Aug
ancient7–13-0.0118%3 Aug
dust210–13-0.0124%3 Aug
anubis16–13-0.0416%2 Aug
mirage6–13-0.0622%2 Aug
cache13–3-0.0647%2 Aug
dust213–30.0138%2 Aug
inferno13–1-0.0314%2 Aug
ancient11–13-0.0810%1 Aug
nuke13–110.0212%1 Aug
inferno7–130.0214%1 Aug
mirage13–90.0112%1 Aug
cache11–130.0417%1 Aug
vertigo5–130.0019%1 Aug
dust210–13-0.077%1 Aug
mirage13–100.0812%31 Jul
dust212–12-0.0616%31 Jul
anubis9–13-0.0414%31 Jul
inferno13–100.0015%31 Jul
cache13–80.1616%30 Jul
anubis13–100.0814%30 Jul
nuke13–160.0314%30 Jul
ancient6–5-0.0214%30 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 →