Williamasd

Williamasd — CS2 Stats

SE76561198215142943[U:1:254877215]Steam profile ↗✓ No bans

657Tracked matches50%Win rate2020Tracked since
1,266Hours in CS
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating17,540Purple band · top ~18.3% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 17 Oct 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

17,647Peak Premier in tracked matches
25Days played since 2026-06-13

Premier CS Rating

  • At peak — 17,540
  • Next: Pink band at 20,000 — 2,460 to go
  • Reached: Purple band · Blue band · Light Blue band

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

How this compares with the same rank

Median values for Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate54.4%44.3%46.9%above
Shot accuracy11.9%11.9%13.0%1.1% short
Kill/death ratio1.381.031.08above
Match win rate46.9%45.2%46.7%meets

This profile matches the typical Pink band player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Pink band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGWilliamasdPREMIER17,540 · Purple bandcsdb.gg/stats

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Performance scores

Aim60
Positioning59
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY49–51Last 10049%Win rateWLWLWWLWLW

Last 10 vs previous 10: +30pp win rate · −0.02 avg rating · −1.6pp headshot accuracy · +58ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 634ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 22%
  • Avg reaction 642ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 613ms

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 (+2.5 against its own average).

Aim6.0
Utility4.6
Positioning5.9
Opening Duels3.3
Clutch0.0

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 83% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 601ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

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

Aim6.0
Positioning5.9
Utility4.6
Mechanics4.4
Opening Duels4.9
Win Impact5.0

Composite 5.3/10 (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 rating-0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.00
Reaction time607ms−2ms
first ⅓ avg 609ms → last ⅓ avg 607ms
Headshot accuracy22.4%+1.0%
first ⅓ avg 21.4% → last ⅓ avg 22.4%

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

0.19Best match rating · 13–3 · inferno, 12 Jul →
43%Best headshot accuracy · 5–13 · mirage, 12 Jul →
406msFastest reaction time · 5–13 · mirage, 12 Jul →
13–3Biggest win · dust2, 17 Oct →

Across the last 100 tracked matches.

Highlights

8Longest win streak
11–8In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 63% over 16mirageWeakest map · 40% over 15
MapGradePlayedRecordWin rateAvg rating
cacheC198–1142%0.00
nukeB199–1047%0.01
infernoA1610–663%0.03
mirageC156–940%-0.03
dust2B126–650%0.00
vertigoA74–357%0.03
overpass—42–250%0.01
anubis—41–325%-0.01
train—22–0100%0.01
ancient—21–150%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (40% over 15). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

76,311Lifetime kills
1.38K/D · Top 10% of Purple band
2,945Matches
46.9%Match win rate · Top 50% of Purple band
54.4%Headshot % · Top 25% of Purple band
11.9%Shot accuracy
9,234MVPs
1,266Hours (in match)
3,023Bombs planted
1,225Bombs defused

Most-used weapons

AK-4738,999
AWP7,492
P2501,966
MAC-101,037
Knife865

Lifetime map wins

5,817inferno
4,614nuke
1,879dust2
1,775cbble
1,676train
783vertigo
207office
118lake

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

Faceit stats

Combat

229Matches
48%Win rate
1.12Avg K/D
68.5ADR
41%Headshot %

Clutches & streaks

10%1v1 clutch win
9%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage771%1.1015.7
Nuke560%0.8711.0
Inferno40%0.7613.0
Anubis333%0.8413.3
Dust220%0.5910.5
Vertigo10%0.7515.0

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.

22.7%Headshot accuracy
30.5%Accuracy (enemy spotted)
33.3%Spray accuracy
70.0%Counter-strafing
9.2°Preaim
601msReaction time
51.7%T opening success
47.8%CT opening success
0.59Enemies flashed / flash
7.1%Flash assists
8.28HE damage / grenade
2.66Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 2.6633 — below the 4 mark we flag

    Grenade Lineups →
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.

40% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache13–9-0.0230%23 Oct →
nuke6–13-0.0124%17 Oct →
mirage13–10-0.0221%17 Oct →
cache4–13-0.0613%17 Oct →
dust213–3-0.0424%17 Oct →
mirage13–50.0417%16 Oct →
dust211–13-0.0220%16 Oct →
inferno13–3-0.0635%16 Oct →
dust21–13-0.0417%16 Oct →
overpass13–110.0318%16 Oct →
nuke7–130.0616%16 Oct →
dust213–16-0.0125%14 Oct →
dust213–4-0.0228%13 Oct →
inferno13–11-0.0316%13 Oct →
overpass5–13-0.0032%12 Oct →
nuke8–13-0.0423%12 Oct →
cache9–13-0.0223%12 Oct →
inferno13–50.1029%12 Oct →
mirage7–13-0.0419%8 Oct →
nuke7–130.0424%4 Oct →
anubis10–130.0117%4 Oct →
inferno3–13-0.0224%4 Oct →
cache13–80.0326%4 Oct →
dust213–110.0617%4 Oct →
mirage5–13-0.0511%4 Oct →
cache13–40.0429%4 Oct →
nuke13–100.0927%3 Oct →
mirage13–7-0.0136%3 Oct →
inferno5–13-0.0220%3 Oct →
overpass13–40.0824%3 Oct →
cache11–13-0.0319%3 Oct →
anubis13–11-0.0115%2 Oct →
nuke11–13-0.0419%2 Oct →
nuke19–22-0.0613%2 Oct →
mirage13–90.0222%2 Oct →
dust213–40.1017%2 Oct →
cache13–16-0.0223%2 Oct →
nuke13–80.0618%1 Oct →
cache13–110.0224%1 Oct →
inferno6–130.0619%26 Sept →
nuke13–7-0.0217%26 Sept →
dust28–13-0.0118%26 Sept →
inferno9–13-0.0115%4 Sept →
overpass8–13-0.0538%4 Sept →
cache10–13-0.0214%4 Sept →
nuke10–130.0932%3 Sept →
mirage13–11-0.0116%2 Sept →
train13–50.0319%2 Sept →
dust216–140.0015%1 Aug →
ancient11–13-0.0327%1 Aug →
vertigo13–40.0824%1 Aug →
mirage9–13-0.0518%1 Aug →
cache13–100.0723%1 Aug →
nuke11–13-0.0426%1 Aug →
inferno13–110.0622%1 Aug →
nuke13–3-0.037%1 Aug →
dust25–13-0.0613%31 Jul →
mirage4–13-0.0314%31 Jul →
nuke13–5-0.0623%21 Jul →
vertigo12–16-0.0727%20 Jul →
dust29–130.0221%20 Jul →
anubis10–13-0.0222%20 Jul →
vertigo13–50.1018%19 Jul →
inferno13–60.0723%19 Jul →
ancient13–90.0621%19 Jul →
cache13–90.0518%19 Jul →
anubis4–13-0.0117%19 Jul →
inferno10–13-0.0117%19 Jul →
mirage9–13-0.0733%19 Jul →
cache18–22-0.0511%18 Jul →
nuke5–13-0.0924%18 Jul →
inferno13–10-0.0114%18 Jul →
vertigo13–100.0714%18 Jul →
nuke8–10.0333%18 Jul →
dust213–70.0517%18 Jul →
inferno13–90.0421%18 Jul →
nuke16–120.0723%18 Jul →
cache13–110.0528%18 Jul →
cache16–140.0213%18 Jul →
nuke5–13-0.0223%12 Jul →
vertigo13–8-0.019%12 Jul →
cache7–13-0.0225%12 Jul →
mirage5–13-0.1043%12 Jul →
inferno13–30.1928%12 Jul →
nuke13–50.0134%12 Jul →
mirage10–13-0.0316%12 Jul →
train13–10-0.0017%12 Jul →
cache7–13-0.0312%12 Jul →
inferno1–7-0.0524%11 Jul →
cache14–160.0614%11 Jul →
mirage6–13-0.0318%11 Jul →
mirage3–10-0.0021%10 Jul →
inferno13–110.0917%10 Jul →
inferno13–80.0321%10 Jul →
vertigo11–130.0217%10 Jul →
mirage13–8-0.0611%10 Jul →
cache11–130.0421%10 Jul →
nuke13–40.1326%10 Jul →
cache2–13-0.0931%13 Jun →
vertigo3–130.0131%13 Jun →

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 →

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