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bootylicker69 — CS2 Stats

76561197982668467[U:1:22402739]

498Tracked matches24%Win rate2020Tracked since
567Hours in CS
CSDB Rating2.5 Learning
WingmanMaster Guardian I
Ladder ranks via Leetify

Performance scores

Aim12
Positioning35
Utility48

0–100 skill scores via Leetify.

Recent form

COLD41–50–9Last 10041%Win rateLLWLLLLLLL

Last 10 vs previous 10: -20pp win rate · -0.00 avg rating

Player DNA

Aim1.2
Aggression4.1
Utility4.8
Positioning3.5
Opening Duels0.2

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 71% 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. 684ms 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

Aim1.2
Positioning3.5
Utility4.8
Mechanics3.9
Opening Duels0.9
Win Impact0.0

Composite 2.5/10 (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-0.05−0.03
first ⅓ avg -0.02 → last ⅓ avg -0.05
Reaction time688ms+4ms
first ⅓ avg 684ms → last ⅓ avg 688ms
Headshot accuracy11.5%−1.1%
first ⅓ avg 12.6% → last ⅓ avg 11.5%

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

0.10Best rating — dust2 13–2
13–0Biggest win — nuke
4Longest win streak
L2Current streak
8–9In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 80% over 5dust2Weakest map · 33% over 30
MapGradePlayedRecordWin rateAvg rating
dust2D3010–2033%-0.01
mirageC135–838%-0.03
nukeB115–645%-0.02
infernoB115–645%-0.03
ancientC83–538%-0.04
trainB63–350%-0.00
vertigoS54–180%-0.02
office—43–175%-0.07
anubis—40–40%-0.05
cache—30–30%-0.09
overpass—32–167%-0.09
agency—10–10%-0.02
memento—11–0100%0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 30). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,957Lifetime kills
1.17K/D · Top 25% of tracked players
1,404Matches
43.3%Match win rate
35.6%Headshot %
13.8%Shot accuracy · Top 50% of tracked players
2,968MVPs
567Hours (in match)
1,171Bombs planted
378Bombs defused

Most-used weapons

AWP5,258
AK-474,726
P2000 / USP-S3,090
P902,939
UMP-452,686
M4A4 / M4A1-S2,552
Five-SeveN1,667
Glock-181,114
SSG 08812
MAC-10698

Lifetime map wins

9,283dust2
798inferno
596nuke
369vertigo
293train
100aztec
100dust
90cbble

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

Skill profile

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

11.9%Headshot accuracy
25.7%Accuracy (enemy spotted)
28.4%Spray accuracy
67.6%Counter-strafing
15.7°Preaim
684msReaction time
24.9%T opening success
36.8%CT opening success
0.51Enemies flashed / flash
6.0%Flash assists
8.74HE damage / grenade
9.09Flashes / 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 15.6905° — 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 11.8969% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Dust 2

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 30 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust24–13-0.087%5 Jul →
nuke7–13-0.055%4 Jul →
office13–4-0.036%14 Jun →
ancient5–13-0.0510%11 May →
dust28–13-0.085%10 May →
cache11–13-0.096%3 May →
cache10–13-0.1017%3 May →
anubis4–13-0.0921%3 May →
inferno2–13-0.047%3 May →
nuke6–130.039%2 May →
cache11–13-0.076%2 May →
dust211–13-0.028%26 Apr →
dust213–9-0.0825%25 Apr →
inferno8–13-0.089%19 Apr →
dust22–13-0.115%19 Apr →
nuke13–8-0.0314%19 Apr →
mirage7–13-0.0810%11 Apr →
ancient11–13-0.0311%4 Apr →
nuke6–13-0.0517%4 Apr →
overpass13–10-0.0313%3 Apr →
mirage8–130.0018%2 Apr →
mirage4–130.019%2 Apr →
dust213–110.0312%2 Apr →
inferno13–30.0217%2 Apr →
dust212–160.0616%2 Apr →
nuke6–13-0.008%2 Apr →
mirage7–13-0.0618%2 Apr →
inferno2–13-0.0811%2 Apr →
mirage15–15-0.0621%30 Mar →
inferno13–8-0.027%30 Mar →
anubis11–13-0.0721%30 Mar →
anubis4–13-0.056%29 Mar →
overpass9–13-0.124%29 Mar →
nuke13–5-0.0416%28 Mar →
overpass13–11-0.139%22 Mar →
mirage13–11-0.0715%8 Mar →
nuke13–00.0117%8 Mar →
dust23–13-0.027%1 Mar →
office0–13-0.159%1 Mar →
mirage10–13-0.0014%1 Mar →
dust213–10-0.038%28 Feb →
dust213–6-0.032%28 Feb →
mirage13–9-0.0620%8 Feb →
train13–10-0.0213%25 Jan →
dust26–130.0215%25 Jan →
mirage13–6-0.0327%18 Jan →
dust29–13-0.0510%18 Jan →
dust24–13-0.0216%18 Jan →
mirage11–130.0011%8 Nov →
dust26–13-0.077%16 Aug →
inferno13–4-0.0117%16 Aug →
nuke12–12-0.0530%16 Aug →
dust213–5-0.0527%16 Aug →
mirage13–9-0.0314%10 Aug →
ancient8–130.0410%10 Aug →
inferno15–150.0310%20 Jul →
ancient13–8-0.0612%20 Jul →
dust26–13-0.016%20 Jul →
inferno13–10-0.0515%28 Jun →
ancient5–13-0.0315%28 Jun →
dust213–20.1011%15 Jun →
anubis2–13-0.0117%15 Jun →
dust22–13-0.0516%14 Jun →
mirage13–40.0721%14 Jun →
train11–130.0516%14 Jun →
dust212–12-0.0012%25 May →
ancient13–7-0.057%25 May →
dust212–120.0410%25 May →
train13–70.0316%25 May →
train13–10-0.0212%25 May →
vertigo13–6-0.0411%25 May →
agency12–12-0.0210%21 May →
vertigo13–11-0.1031%4 Apr →
nuke1–60.0425%19 Mar →
train10–13-0.0315%22 Dec →
ancient9–5-0.075%22 Dec →
dust213–4-0.048%13 Dec →
dust213–50.0614%13 Dec →
dust212–120.039%12 Dec →
dust213–90.0011%12 Dec →
train12–12-0.0315%7 Dec →
vertigo4–130.0311%3 Dec →
inferno13–10-0.0215%3 Dec →
vertigo13–30.0321%21 Nov →
dust211–13-0.0117%17 Nov →
dust213–110.0110%17 Nov →
nuke13–11-0.0210%8 Nov →
dust27–13-0.0314%29 Oct →
inferno2–9-0.1017%29 Oct →
memento9–50.019%29 Oct →
ancient12–12-0.056%29 Oct →
mirage3–13-0.138%29 Oct →
office13–10-0.096%16 Oct →
inferno11–13-0.027%28 Sept →
dust25–130.0319%26 Sept →
dust27–130.0714%26 Sept →
vertigo13–11-0.0213%14 Sept →
dust23–13-0.0817%13 Sept →
nuke9–3-0.090%13 Sept →
office3–1-0.0110%13 Sept →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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