[SK_J] Killa

[SK_J] Killa — CS2 Stats

76561198103707450[U:1:143441722]Steam profile ↗

821Tracked matches52%Win rate2020Tracked since
1,240Hours in CS
CSDB Rating5.2 Developing
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=607), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate52.6%42.1%42.5%above
Shot accuracy13.0%12.1%10.9%above
Kill/death ratio0.980.990.990.02 short
Match win rate37.9%43.9%44.2%6.2% short

This profile matches the typical Level 4 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG[SK_J] KillaFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim59
Positioning61
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY51463Last 10051%Win rateLLWLWLWWWW

Last 10 vs previous 10: +30pp win rate · -0.00 avg rating

Player DNA

Aim5.9
Aggression7.3
Utility4.3
Positioning6.1
Opening Duels4.1

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 89% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

T-side openings. Opening success drops from 56% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 655ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 68% 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

Aim5.9
Positioning6.1
Utility4.3
Mechanics4.0
Opening Duels4.1
Win Impact5.6

Composite 5.2/10 (Developing), 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 rating0.01+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.01
Reaction time656ms−39ms
first ⅓ avg 695ms → last ⅓ avg 656ms
Headshot accuracy25.5%−1.8%
first ⅓ avg 27.3% → last ⅓ avg 25.5%

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

0.14Best rating — cache 13–6
131Biggest win — mirage
5Longest win streak
L2Current streak
311In matches decided by ≤2 rounds
8Overtime games

Map breakdown

mirageBest map · 88% over 8anubisWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
anubisC167944%-0.00
infernoB157847%-0.01
ancientB157847%-0.01
nukeB126650%-0.00
dust2A117464%0.01
cacheA95456%0.02
overpassA95456%-0.01
mirageS87188%0.02
vertigo3030%-0.01
italy1010%-0.05
office1010%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

62,158Lifetime kills
0.98K/D
3,342Matches
37.9%Match win rate
52.6%Headshot % · Top 25% of Level 3 players
13.0%Shot accuracy · Top 50% of Level 3 players
5,226MVPs
1,240Hours (in match)
3,133Bombs planted
494Bombs defused

Most-used weapons

Lifetime map wins

5,390cbble
2,620dust2
2,178inferno
1,410nuke
758train
703office
648vertigo
229lake

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

Faceit stats

Combat

29Matches
45%Win rate
1.00Avg K/D
ADR
54%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
5Longest win streak

Recent Faceit resultsWLLWL

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.

25.4%Headshot accuracy
31.8%Accuracy (enemy spotted)
36.9%Spray accuracy
68.1%Counter-strafing
10.1°Preaim
655msReaction time
36.9%T opening success
56.2%CT opening success
0.48Enemies flashed / flash
3.1%Flash assists
6.31HE damage / grenade
5.80Flashes / 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 0.4824 — 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 36.9456% — below the 40% mark we flag

Spend your practice time on Anubis

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

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0228%2 Aug
inferno10–13-0.0824%2 Aug
nuke13–9-0.0014%30 Jul
inferno11–13-0.0417%30 Jul
dust213–8-0.0415%29 Jul
anubis11–13-0.0225%29 Jul
ancient13–20.0422%29 Jul
nuke13–30.0723%29 Jul
dust213–10-0.0534%21 Jul
dust213–40.0424%21 Jul
cache16–130.0522%21 Jul
cache3–130.0030%19 Jul
anubis15–150.0023%19 Jul
nuke8–13-0.0229%15 Jul
ancient11–13-0.0229%12 Jul
anubis9–13-0.0344%12 Jul
inferno15–150.0131%5 Jul
ancient13–11-0.0228%5 Jul
nuke13–50.0133%5 Jul
dust28–13-0.0524%28 Jun
overpass11–130.0235%28 Jun
anubis13–50.0625%28 Jun
mirage13–10.1127%28 Jun
nuke10–130.0120%28 Jun
inferno13–6-0.0115%28 Jun
inferno13–20.0326%28 Jun
anubis11–130.0423%27 Jun
dust215–150.0628%26 Jun
inferno4–13-0.0422%26 Jun
dust213–100.0719%26 Jun
ancient4–130.0123%26 Jun
nuke13–40.0533%26 Jun
ancient9–13-0.0227%26 Jun
cache13–60.1431%25 Jun
ancient13–70.0430%24 Jun
nuke9–13-0.0313%24 Jun
ancient0–13-0.0467%24 Jun
anubis13–9-0.0118%24 Jun
ancient16–13-0.0021%16 Jun
anubis13–7-0.0218%16 Jun
dust213–30.1140%12 Jun
dust26–13-0.0833%12 Jun
overpass13–8-0.0323%10 Jun
nuke8–13-0.0632%10 Jun
ancient13–2-0.0619%9 Jun
overpass14–16-0.0319%8 Jun
mirage16–140.0329%8 Jun
vertigo5–13-0.0445%8 Jun
anubis9–130.0223%5 Jun
nuke5–13-0.0428%5 Jun
vertigo11–130.0129%5 Jun
anubis13–2-0.0627%4 Jun
dust213–40.0224%4 Jun
italy3–13-0.0536%4 Jun
office8–130.0225%4 Jun
overpass11–13-0.0129%2 Jun
ancient13–100.0225%1 Jun
anubis7–130.0725%31 May
inferno11–13-0.0127%29 May
mirage3–13-0.0324%29 May
inferno9–13-0.0525%28 May
overpass13–10-0.0622%25 May
ancient13–10-0.0334%25 May
mirage13–90.0043%25 May
inferno13–9-0.0428%21 May
anubis8–13-0.0723%21 May
nuke13–90.0418%21 May
dust25–13-0.0017%21 May
overpass13–30.0823%14 May
inferno13–90.0136%14 May
mirage13–7-0.0538%14 May
ancient5–13-0.0140%14 May
ancient8–13-0.0125%14 May
overpass13–9-0.0038%14 May
ancient11–13-0.0229%14 May
overpass10–13-0.0421%14 May
inferno6–13-0.0138%14 May
inferno11–13-0.0431%13 May
anubis13–9-0.0715%13 May
inferno13–70.0324%13 May
overpass13–10-0.0326%12 May
ancient8–13-0.0324%12 May
anubis13–40.0121%12 May
dust213–110.0015%11 May
mirage13–40.0117%10 May
anubis6–13-0.0130%10 May
mirage13–40.1024%10 May
mirage16–13-0.0623%10 May
vertigo8–130.0116%8 May
cache0–13-0.0967%8 May
cache13–30.1240%8 May
cache13–5-0.0129%7 May
cache13–40.0621%7 May
anubis5–13-0.0717%7 May
nuke13–9-0.0526%7 May
inferno13–7-0.0514%7 May
nuke8–130.0017%7 May
cache8–13-0.0428%7 May
inferno13–10.0938%5 May
anubis13–60.1033%5 May

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 →