skullman666

skullman666 — CS2 Stats

76561198154997988[U:1:194732260]Steam profile ↗✓ No bans

262Tracked matches44%Win rate2022Tracked since
304Hours in CS1Hrs last 2 wks
CSDB Rating2.4 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim19
Positioning31
Utility17

0–100 skill scores via Leetify.

Recent form

STEADY45–49–6Last 10045%Win rateWWLLLWLLLW

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +5.2pp headshot accuracy · −38ms reaction

Win rate −10pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 8%
  • Avg reaction 714ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 10%
  • Avg reaction 727ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 7%
  • Avg reaction 745ms

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 Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim1.9
Utility1.7
Positioning3.1
Opening Duels0.0

Strong CT-side openerLimited 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

iM

Plays most like iM 74% playstyle similarity

Most alike: opening-duel success, 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

T-side openings. Opening success drops from 36% on CT to 13% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 757ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim1.9
Positioning3.1
Utility1.7
Mechanics3.9
Opening Duels0.7
Win Impact3.1

Composite 2.4/10 (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-0.05−0.02
first ⅓ avg -0.03 → last ⅓ avg -0.05
Reaction time753ms−3ms
first ⅓ avg 756ms → last ⅓ avg 753ms
Headshot accuracy8.2%+2.0%
first ⅓ avg 6.3% → last ⅓ avg 8.2%

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.

Personal bests

0.14Best match rating · 13–9 · dust2, 26 Jan →
27%Best headshot accuracy · 13–9 · train, 7 Mar →
531msFastest reaction time · 4–13 · office, 1 Feb →
13–1Biggest win · vertigo, 30 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
4–5In matches decided by ≤2 rounds

Map breakdown

trainBest map · 83% over 6mirageWeakest map · 20% over 20
MapGradePlayedRecordWin rateAvg rating
mirageD204–1620%-0.05
nukeB178–947%-0.03
dust2C167–944%-0.01
anubisB126–650%-0.05
vertigoS96–367%-0.03
infernoC83–538%-0.07
trainS65–183%-0.02
officeA53–260%-0.04
cache—31–233%-0.02
ancient—21–150%-0.07
overpass—21–150%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (20% over 20). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,494Lifetime kills
0.60K/D
1,073Matches
24.0%Match win rate
24.7%Headshot %
13.2%Shot accuracy · Top 50% of tracked players
410MVPs
203Hours (in match)
379Bombs planted
39Bombs defused

Most-used weapons

Lifetime map wins

475nuke
470dust2
169vertigo
146inferno
100train
70office
42safehouse
32ar_shoots

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.

8.5%Headshot accuracy
32.7%Accuracy (enemy spotted)
35.8%Spray accuracy
67.4%Counter-strafing
13.2°Preaim
757msReaction time
13.1%T opening success
35.9%CT opening success
0.28Enemies flashed / flash
2.1%Flash assists
4.41HE damage / grenade
3.11Flashes / 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 13.2308° — 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 8.538% — below the 15% mark we flag

    Aim Training →
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 756.9595ms — above the 700ms mark we flag

    Aim Training →
Spend your practice time on Mirage

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

20% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–8-0.113%10 May →
cache13–100.0116%10 May →
cache5–13-0.040%10 May →
cache10–13-0.0420%29 Apr →
nuke11–13-0.094%14 Apr →
vertigo13–11-0.0611%11 Apr →
mirage10–13-0.0913%11 Apr →
nuke10–13-0.0413%8 Apr →
mirage10–13-0.046%8 Apr →
vertigo13–9-0.0416%8 Apr →
inferno13–8-0.068%5 Apr →
mirage13–7-0.135%5 Apr →
nuke8–13-0.090%5 Apr →
nuke12–12-0.044%5 Apr →
mirage4–13-0.060%5 Apr →
anubis13–2-0.020%5 Apr →
office13–11-0.044%1 Apr →
anubis13–11-0.057%1 Apr →
nuke12–12-0.0813%1 Apr →
mirage11–13-0.088%1 Apr →
nuke13–30.0416%28 Mar →
mirage12–120.029%27 Mar →
dust28–13-0.1220%26 Mar →
nuke8–20.025%26 Mar →
anubis9–13-0.075%26 Mar →
ancient9–13-0.0415%25 Mar →
mirage10–130.0011%25 Mar →
dust213–4-0.050%23 Mar →
inferno4–13-0.070%22 Mar →
anubis6–13-0.0713%22 Mar →
nuke13–8-0.034%22 Mar →
anubis13–5-0.025%22 Mar →
vertigo13–5-0.0421%22 Mar →
mirage13–9-0.0920%22 Mar →
dust210–13-0.0315%22 Mar →
dust27–13-0.014%21 Mar →
nuke13–40.014%21 Mar →
mirage10–13-0.058%21 Mar →
dust22–10-0.0213%21 Mar →
dust210–13-0.026%20 Mar →
anubis7–13-0.078%19 Mar →
nuke10–130.035%19 Mar →
anubis3–13-0.013%19 Mar →
nuke13–11-0.016%18 Mar →
mirage5–13-0.0119%18 Mar →
office13–8-0.060%18 Mar →
office7–13-0.067%18 Mar →
dust213–80.066%15 Mar →
nuke13–6-0.085%14 Mar →
mirage13–3-0.0214%14 Mar →
anubis13–7-0.054%14 Mar →
dust213–60.0523%9 Mar →
anubis4–13-0.100%9 Mar →
inferno9–13-0.1113%8 Mar →
inferno9–10.0213%8 Mar →
train13–9-0.0427%7 Mar →
dust27–13-0.004%7 Mar →
train12–120.026%2 Mar →
dust212–12-0.026%2 Mar →
nuke7–13-0.0711%1 Mar →
overpass13–7-0.0213%1 Mar →
train13–9-0.0110%1 Mar →
dust213–50.0712%1 Mar →
train13–5-0.022%1 Mar →
mirage4–4-0.035%1 Mar →
dust25–13-0.0511%28 Feb →
nuke4–13-0.136%27 Feb →
vertigo3–13-0.080%27 Feb →
mirage10–13-0.109%27 Feb →
mirage9–130.0115%27 Feb →
vertigo13–8-0.044%25 Feb →
mirage6–13-0.190%18 Feb →
inferno8–13-0.220%8 Feb →
dust21–6-0.060%3 Feb →
inferno2–13-0.137%3 Feb →
mirage11–13-0.0211%2 Feb →
inferno4–13-0.050%1 Feb →
vertigo4–13-0.060%1 Feb →
office4–13-0.045%1 Feb →
office13–30.007%1 Feb →
overpass12–120.0411%1 Feb →
nuke13–30.052%31 Jan →
anubis13–50.006%31 Jan →
mirage7–13-0.039%31 Jan →
dust213–30.058%31 Jan →
train13–60.013%31 Jan →
nuke13–20.034%30 Jan →
mirage7–13-0.080%30 Jan →
dust213–4-0.077%30 Jan →
vertigo13–10.0019%30 Jan →
train13–10-0.065%30 Jan →
nuke6–13-0.0812%30 Jan →
anubis12–3-0.045%30 Jan →
inferno13–20.092%28 Jan →
vertigo1–13-0.050%28 Jan →
mirage10–130.0111%28 Jan →
mirage13–10.047%27 Jan →
anubis11–13-0.0311%26 Jan →
dust213–90.1414%26 Jan →
vertigo13–40.0812%26 Jan →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.