[AA] KillerKaren🎔

[AA] KillerKaren🎔 — CS2 Stats

DK76561199780873596[U:1:1820607868]Steam profile ↗✓ No bans

2,071Tracked matches31%Win rate2024Tracked since
CSDB Rating2.6 LearningPositional Player
Premier CS Rating2,910Grey band · top ~87.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−20Premier CS Rating · 2,930 → 2,910
+4Tracked matches · now 2,071
+3.4ppWin rate · 27.6% → 31.0%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 25 days played since 21 Aug 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 2,910 +4 21 Aug22 Sept · 26 days played
2,8393,754peak 3,75421 Aug22 Sept
3,807Peak Premier in tracked matches
25Days played since 2026-08-21

Premier CS Rating

  • 844 below peak (3,754)
  • -328 over 30 days · steady
  • Next: Light Blue band at 5,000 2,090 to go

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GG[AA] KillerKaren🎔PREMIER2,910 · Grey bandcsdb.gg/stats

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Performance scores

Aim27
Positioning46
Utility29

0–100 skill scores via Leetify.

Recent form

COLD36613Last 10036%Win rateLLWLLWWLLL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +1.0pp headshot accuracy · +55ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 683ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 689ms

Last 20

  • 6131 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 662ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional PlayerPositioning stands above the rest of this profile (+1.8 against its own average).

Aim2.7
Utility2.9
Positioning4.6
Opening Duels1.0

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 69% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 653ms 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

Aim2.7
Positioning4.6
Utility2.9
Mechanics3.5
Opening Duels2.3
Win Impact0.0

Composite 2.6/10 (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-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time651ms−11ms
first ⅓ avg 662ms → last ⅓ avg 651ms
Headshot accuracy13.5%+2.9%
first ⅓ avg 10.6% → 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.

Personal bests

0.07Best match rating · 13–4 · nuke, 9 Sept
29%Best headshot accuracy · 4–13 · dust2, 22 Sept
430msFastest reaction time · 13–11 · anubis, 23 Aug
13–2Biggest win · ancient, 4 Sept

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
911In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 57% over 23ancientWeakest map · 24% over 21
MapGradePlayedRecordWin rateAvg rating
nukeA23131057%-0.02
ancientD2151624%-0.03
infernoD2171433%-0.03
anubisC156940%-0.03
cacheD93633%-0.05
dust2D82625%-0.06
mirage2020%-0.06
vertigo1010%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (24% over 21). 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.

13.2%Headshot accuracy
30.8%Accuracy (enemy spotted)
28.5%Spray accuracy
66.0%Counter-strafing
12.3°Preaim
653msReaction time
41.8%T opening success
36.8%CT opening success
0.46Enemies flashed / flash
0.7%Flash assists
6.88HE damage / grenade
2.86Flashes / 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 12.2995° — 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 13.2235% — below the 15% mark we flag

    Aim Training
  3. 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 0.4582 — below the 0.5 mark we flag

    Grenade Lineups
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.

24% win rate across 21 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke10–13-0.017%22 Sept
dust24–13-0.0929%22 Sept
anubis13–4-0.0216%22 Sept
ancient13–16-0.0611%19 Sept
anubis4–130.019%19 Sept
anubis13–60.0315%18 Sept
anubis13–50.044%18 Sept
ancient7–13-0.0612%18 Sept
inferno9–130.0116%17 Sept
cache11–13-0.0912%17 Sept
inferno14–16-0.0423%17 Sept
nuke13–11-0.005%17 Sept
ancient6–13-0.1014%16 Sept
inferno13–4-0.036%16 Sept
inferno11–13-0.0314%16 Sept
ancient8–13-0.0116%16 Sept
nuke6–13-0.068%16 Sept
anubis13–10-0.1010%15 Sept
dust215–15-0.0514%15 Sept
mirage8–13-0.0810%15 Sept
nuke9–13-0.0019%15 Sept
nuke8–13-0.1011%15 Sept
nuke13–3-0.0312%15 Sept
vertigo11–13-0.0418%15 Sept
anubis11–13-0.0313%15 Sept
ancient13–90.0120%14 Sept
inferno8–13-0.0414%14 Sept
dust213–60.0014%14 Sept
cache8–13-0.0410%14 Sept
ancient6–13-0.0611%13 Sept
inferno9–13-0.0726%13 Sept
dust28–13-0.0619%13 Sept
nuke6–130.048%12 Sept
ancient4–130.0318%12 Sept
inferno13–11-0.005%12 Sept
nuke14–16-0.0215%12 Sept
ancient13–4-0.0113%12 Sept
ancient1–13-0.049%11 Sept
ancient13–10-0.0514%11 Sept
anubis8–13-0.0312%11 Sept
ancient7–13-0.097%11 Sept
cache13–5-0.048%10 Sept
nuke13–40.056%10 Sept
nuke5–13-0.088%10 Sept
inferno13–90.0011%10 Sept
dust22–13-0.0911%10 Sept
ancient15–150.0514%10 Sept
inferno13–11-0.077%9 Sept
ancient16–14-0.0211%9 Sept
nuke13–40.079%9 Sept
dust27–13-0.0817%8 Sept
ancient13–20.017%4 Sept
inferno6–13-0.047%4 Sept
nuke13–10-0.028%3 Sept
nuke13–10-0.037%3 Sept
ancient9–13-0.035%1 Sept
cache11–13-0.0512%1 Sept
anubis13–11-0.076%29 Aug
anubis7–13-0.097%29 Aug
anubis3–13-0.0312%29 Aug
inferno5–13-0.0511%29 Aug
inferno13–11-0.056%28 Aug
inferno9–13-0.0113%28 Aug
ancient6–13-0.079%28 Aug
dust24–13-0.089%28 Aug
anubis3–13-0.0724%28 Aug
anubis7–13-0.0710%28 Aug
ancient9–13-0.025%28 Aug
cache11–13-0.0615%28 Aug
inferno10–13-0.037%27 Aug
nuke13–5-0.038%27 Aug
anubis15–15-0.076%27 Aug
dust213–7-0.067%26 Aug
ancient3–13-0.0612%25 Aug
nuke13–11-0.0416%25 Aug
inferno11–13-0.0417%25 Aug
inferno9–13-0.019%24 Aug
ancient7–13-0.049%24 Aug
cache13–11-0.0521%24 Aug
inferno11–13-0.0710%24 Aug
inferno8–13-0.0820%24 Aug
nuke13–9-0.0516%24 Aug
anubis13–11-0.0113%23 Aug
nuke4–13-0.0513%23 Aug
mirage8–13-0.037%23 Aug
inferno13–90.0112%23 Aug
inferno7–13-0.037%23 Aug
cache8–13-0.059%23 Aug
cache13–9-0.033%23 Aug
nuke13–6-0.020%23 Aug
anubis4–13-0.0023%22 Aug
ancient11–13-0.064%22 Aug
inferno13–6-0.0210%22 Aug
nuke13–100.0016%22 Aug
cache6–13-0.033%22 Aug
nuke4–13-0.116%22 Aug
ancient4–13-0.0317%22 Aug
nuke13–50.0711%22 Aug
nuke13–10-0.0210%21 Aug
nuke12–16-0.068%21 Aug

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 →