啊肥

啊肥 — CS2 Stats

76561199018642443[U:1:1058376715]Steam profile ↗✓ No bans

150Tracked matches52%Win rate2025Tracked since
551Hours in CS
CSDB Rating5.3 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Sep 2026 (59 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 150 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 10,963 +1,766 3 Oct – 11 Jan · 27 days played
7,57710,963peak 10,9633 Oct11 Jan
10,963Peak Premier in tracked matches
33Days played since 2025-10-03

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

Performance scores

Aim49
Positioning59
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY49–46–5Last 10049%Win rateWLWWWWLWLL

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · −0.0pp headshot accuracy · +45ms 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 (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 11%
  • Avg reaction 673ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 692ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 12%
  • Avg reaction 670ms

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 (+1.1 against its own average).

Aim4.9
Utility4.1
Positioning5.9
Opening Duels4.4

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 86% 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. 652ms 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

Aim4.9
Positioning5.9
Utility4.1
Mechanics7.6
Opening Duels2.9
Win Impact5.6

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 rating0.00+0.01
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time649ms−58ms
first ⅓ avg 707ms → last ⅓ avg 649ms
Headshot accuracy12.7%−3.1%
first ⅓ avg 15.8% → last ⅓ avg 12.7%

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

0.14Best match rating · 13–3 · inferno, 26 Oct →
25%Best headshot accuracy · 13–7 · mirage, 8 Nov →
469msFastest reaction time · 9–13 · ancient, 26 Oct →
13–0Biggest win · dust2, 22 Dec →

Across the last 100 tracked matches.

Highlights

5Longest win streak
4–6In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 67% over 15ancientWeakest map · 24% over 17
MapGradePlayedRecordWin rateAvg rating
dust2B3114–1745%0.00
infernoS1711–665%0.03
ancientD174–1324%-0.00
nukeS1510–567%0.00
mirageB158–753%-0.02
overpassC52–340%-0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (24% over 17). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

21,283Lifetime kills
0.98K/D
1,143Matches
57.8%Match win rate · Top 5% of tracked players
38.6%Headshot %
13.4%Shot accuracy · Top 50% of tracked players
2,937MVPs
551Hours (in match)
2,299Bombs planted
364Bombs defused

Most-used weapons

Lifetime map wins

5,445dust2
4,807inferno
389nuke
256vertigo
117train
21cbble
16assault
8italy

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.

12.4%Headshot accuracy
35.2%Accuracy (enemy spotted)
36.0%Spray accuracy
84.1%Counter-strafing
13.0°Preaim
652msReaction time
39.6%T opening success
43.3%CT opening success
0.34Enemies flashed / flash
9.7%Flash assists
8.14HE damage / grenade
3.18Flashes / 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 13.0121° — 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 12.3732% — 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 0.3441 — 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 17 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–80.0115%7 Feb →
mirage5–13-0.100%7 Feb →
mirage13–40.0511%7 Feb →
inferno13–80.0520%7 Feb →
mirage13–40.0112%6 Feb →
dust213–50.0211%6 Feb →
nuke9–13-0.0713%6 Feb →
nuke13–60.0518%6 Feb →
ancient11–13-0.0411%1 Feb →
inferno11–130.0411%1 Feb →
ancient13–30.0315%1 Feb →
inferno15–150.048%1 Feb →
mirage9–13-0.0215%28 Jan →
nuke3–130.0015%28 Jan →
inferno13–80.019%25 Jan →
dust25–13-0.0011%25 Jan →
ancient7–13-0.0112%25 Jan →
ancient7–13-0.0220%25 Jan →
ancient8–13-0.0014%24 Jan →
dust213–20.033%24 Jan →
dust29–13-0.0019%24 Jan →
dust213–80.0213%11 Jan →
nuke13–80.0614%11 Jan →
overpass13–8-0.0522%7 Jan →
nuke13–6-0.049%7 Jan →
mirage16–14-0.0412%5 Jan →
inferno8–13-0.0310%5 Jan →
nuke11–13-0.044%5 Jan →
dust213–50.029%5 Jan →
ancient7–130.0114%5 Jan →
nuke13–60.0216%30 Dec →
mirage13–80.0422%30 Dec →
nuke13–70.0612%30 Dec →
dust29–130.0619%29 Dec →
inferno13–110.119%29 Dec →
mirage1–13-0.0616%29 Dec →
ancient6–130.1115%29 Dec →
nuke10–13-0.0014%27 Dec →
mirage13–11-0.0013%27 Dec →
overpass13–90.0014%27 Dec →
overpass7–13-0.0613%26 Dec →
mirage13–4-0.0923%26 Dec →
dust213–00.000%22 Dec →
ancient9–13-0.0814%22 Dec →
dust215–15-0.0017%19 Dec →
dust26–130.0318%10 Dec →
nuke13–4-0.0117%10 Dec →
dust27–13-0.0213%10 Dec →
inferno13–70.028%10 Dec →
inferno13–160.0515%10 Dec →
ancient8–13-0.0011%28 Nov →
inferno13–70.0423%28 Nov →
dust213–20.0518%28 Nov →
dust213–5-0.0315%27 Nov →
inferno13–40.077%27 Nov →
dust29–13-0.0717%19 Nov →
dust213–50.0312%19 Nov →
dust215–150.0224%17 Nov →
mirage10–13-0.0323%17 Nov →
mirage9–13-0.0421%11 Nov →
ancient13–8-0.0315%11 Nov →
dust216–140.0617%11 Nov →
inferno8–13-0.0215%9 Nov →
dust210–13-0.0212%9 Nov →
ancient3–13-0.0117%9 Nov →
mirage13–70.0125%8 Nov →
nuke13–70.0213%8 Nov →
mirage9–130.0121%8 Nov →
ancient13–100.0113%8 Nov →
dust27–13-0.0620%8 Nov →
dust216–130.0623%8 Nov →
mirage13–4-0.0615%8 Nov →
inferno9–130.0116%8 Nov →
ancient15–150.0822%8 Nov →
dust213–160.0716%30 Oct →
ancient13–70.0418%30 Oct →
dust23–13-0.0514%28 Oct →
ancient12–160.0015%28 Oct →
dust213–70.0920%28 Oct →
inferno13–30.147%26 Oct →
inferno13–60.0616%26 Oct →
ancient9–13-0.0114%26 Oct →
overpass3–13-0.0418%26 Oct →
inferno13–100.0613%25 Oct →
nuke14–160.0020%25 Oct →
nuke13–9-0.057%22 Oct →
mirage10–13-0.0213%22 Oct →
dust213–10-0.0620%11 Oct →
dust26–13-0.0919%11 Oct →
ancient14–16-0.0715%11 Oct →
dust25–13-0.0413%10 Oct →
dust211–13-0.0318%10 Oct →
inferno13–10-0.0812%9 Oct →
dust215–15-0.0515%9 Oct →
overpass7–13-0.058%4 Oct →
dust213–9-0.0012%4 Oct →
dust212–16-0.0219%4 Oct →
dust213–90.0610%4 Oct →
inferno13–10-0.0424%4 Oct →
nuke13–90.0415%3 Oct →

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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