A. D.

A. D. — CS2 Stats

76561198247530126[U:1:287264398]Steam profile ↗✓ No bans

2,284Tracked matches41%Win rate2023Tracked since
CSDB Rating6.3 SolidClutch Specialist
Premier CS Rating13,808Blue band · top ~34.7% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Oct 2026 (yesterday). 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

Premier CS Rating: 13,808 +1,911 15 Sept – 18 Oct · 23 days played
11,89716,305peak 16,30515 Sept18 Oct
16,914Peak Premier in tracked matches
23Days played since 2026-09-15

Premier CS Rating

  • 2,497 below peak (16,305)
  • +1,133 over 30 days · improving
  • Next: Purple band at 15,000 — 1,192 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.

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CSDB.GGA. D.PREMIER13,808 · Blue bandcsdb.gg/stats

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Performance scores

Aim84
Positioning58
Utility65

0–100 skill scores via Leetify.

Recent form

STEADY55–44–1Last 10055%Win rateLWWWLWLWWL

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · +4.2pp headshot accuracy · −55ms reaction

Win rate up 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 29%
  • Avg reaction 542ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 545ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 573ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+2.8 against its own average).

Aim8.4
Utility6.5
Positioning5.8
Opening Duels2.8
Clutch8.8

Excellent counter-strafingEffective flashesReliable in 1v1s

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

ZywOo

Plays most like ZywOo 96% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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. 588ms 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

Aim8.4
Positioning5.8
Utility6.5
Mechanics8.7
Opening Duels5.1
Win Impact2.1

Composite 6.3/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.04
first ⅓ avg -0.03 → last ⅓ avg 0.02
Reaction time599ms−15ms
first ⅓ avg 614ms → last ⅓ avg 599ms
Headshot accuracy21.7%+0.4%
first ⅓ avg 21.3% → last ⅓ avg 21.7%

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

0.12Best match rating · 13–5 · inferno, 9 Oct →
56%Best headshot accuracy · 1–13 · mirage, 16 Oct →
438msFastest reaction time · 2–12 · inferno, 20 Sept →
13–1Biggest win · nuke, 18 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
3–10In matches decided by ≤2 rounds
10Overtime games

Map breakdown

ancientBest map · 71% over 7infernoWeakest map · 43% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB2412–1250%-0.01
dust2S2013–765%-0.01
infernoC146–843%0.00
cacheB126–650%-0.01
nukeA117–464%0.02
anubisA116–555%0.01
ancientS75–271%0.01
rush_001—10–10%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 14). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

19Matches
37%Win rate
0.83Avg K/D
72.2ADR
44%Headshot %

Clutches & streaks

64%1v1 clutch win
32%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage1127%0.6913.6
Anubis450%1.1517.0
Ancient20%0.8813.5
Overpass1100%0.628.0
Inferno1100%1.0912.0

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.

20.5%Headshot accuracy
36.1%Accuracy (enemy spotted)
37.7%Spray accuracy
89.0%Counter-strafing
8.2°Preaim
588msReaction time
56.4%T opening success
44.4%CT opening success
0.71Enemies flashed / flash
8.2%Flash assists
11.68HE damage / grenade
14.60Flashes / match

Recommended for you

Spend your practice time on Inferno

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

43% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage4–13-0.0550%18 Oct →
mirage13–30.0721%18 Oct →
dust213–50.0629%18 Oct →
nuke13–10.0531%18 Oct →
anubis10–130.0112%18 Oct →
anubis16–120.0420%18 Oct →
anubis11–130.0713%18 Oct →
mirage13–100.0517%18 Oct →
cache13–2-0.0019%18 Oct →
mirage16–190.0230%18 Oct →
cache8–130.0116%18 Oct →
inferno16–120.0313%17 Oct →
mirage11–130.0223%17 Oct →
nuke4–130.0420%17 Oct →
dust215–15-0.0030%17 Oct →
cache5–13-0.0034%17 Oct →
nuke6–130.0722%17 Oct →
inferno13–5-0.0011%17 Oct →
dust29–13-0.0419%17 Oct →
inferno11–13-0.0311%17 Oct →
inferno14–160.0410%16 Oct →
dust213–20.0819%16 Oct →
mirage1–13-0.0256%16 Oct →
mirage7–130.0320%16 Oct →
inferno9–130.0113%15 Oct →
dust23–13-0.0323%15 Oct →
dust28–13-0.0117%15 Oct →
ancient13–110.0117%15 Oct →
inferno13–7-0.056%15 Oct →
dust213–5-0.0119%14 Oct →
dust213–70.0220%14 Oct →
nuke11–13-0.0037%14 Oct →
cache13–20.0419%14 Oct →
cache14–160.0419%13 Oct →
dust213–7-0.0313%12 Oct →
anubis13–100.0210%12 Oct →
dust213–10-0.0216%12 Oct →
cache13–100.0122%12 Oct →
cache16–12-0.0317%11 Oct →
dust23–13-0.0414%11 Oct →
dust211–130.0130%11 Oct →
inferno8–13-0.0212%11 Oct →
nuke13–50.0616%11 Oct →
anubis13–60.0110%11 Oct →
inferno8–13-0.0336%11 Oct →
cache13–4-0.0312%11 Oct →
dust213–9-0.0118%10 Oct →
dust213–7-0.056%10 Oct →
mirage13–6-0.0012%10 Oct →
ancient13–60.0720%10 Oct →
mirage4–13-0.086%9 Oct →
anubis13–20.0716%9 Oct →
inferno13–50.1222%9 Oct →
nuke13–10.0919%9 Oct →
ancient10–130.0221%9 Oct →
mirage13–6-0.0019%9 Oct →
mirage11–13-0.0031%8 Oct →
cache13–80.0614%8 Oct →
anubis13–50.0421%7 Oct →
mirage13–80.0623%7 Oct →
anubis4–13-0.0428%7 Oct →
mirage13–9-0.0215%7 Oct →
rush_0016–8-0.0536%6 Oct →
nuke13–60.0532%6 Oct →
inferno13–30.0712%6 Oct →
mirage5–13-0.1210%6 Oct →
dust25–13-0.0315%6 Oct →
mirage13–60.0822%5 Oct →
ancient5–13-0.0519%5 Oct →
dust213–3-0.0510%3 Oct →
nuke8–130.0210%3 Oct →
nuke13–3-0.0524%3 Oct →
ancient13–9-0.0618%3 Oct →
mirage12–16-0.0425%1 Oct →
dust213–70.0311%1 Oct →
inferno5–130.0217%28 Sept →
dust213–90.0019%28 Sept →
anubis13–5-0.0434%21 Sept →
cache6–13-0.0515%20 Sept →
inferno13–10-0.0021%20 Sept →
inferno2–12-0.0917%20 Sept →
cache5–13-0.0325%19 Sept →
mirage8–13-0.0317%19 Sept →
nuke13–7-0.0215%19 Sept →
cache9–13-0.0722%19 Sept →
anubis7–13-0.0812%19 Sept →
mirage13–5-0.0416%19 Sept →
mirage16–14-0.0119%18 Sept →
mirage6–13-0.0530%18 Sept →
nuke13–2-0.0528%18 Sept →
mirage8–13-0.0524%18 Sept →
dust213–11-0.0631%17 Sept →
inferno11–13-0.0623%17 Sept →
dust213–70.0520%17 Sept →
mirage13–7-0.0522%17 Sept →
mirage13–4-0.0819%15 Sept →
mirage13–60.0224%15 Sept →
ancient16–130.0333%15 Sept →
ancient13–20.0421%15 Sept →
anubis8–13-0.0239%15 Sept →

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 →

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