沒看過這麼醜的雞吧

沒看過這麼醜的雞吧 — CS2 Stats

TW76561199188411284[U:1:1228145556]Steam profile ↗✓ No bans

170Tracked matches44%Win rate2025Tracked since
CSDB Rating6.7 SolidPositional Player
Premier CS Rating16,765Purple band · top ~21.4% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (4 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

Premier CS Rating: 16,765 +2,323 18 Sept – 11 Nov · 6 days played
14,44216,765peak 16,76518 Sept11 Nov
16,765Peak Premier in tracked matches
31Days played since 2026-09-15

Premier CS Rating

  • At peak — 16,765
  • +1,649 over 30 days · improving
  • Next: Pink band at 20,000 — 3,235 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.

Share this profile

CSDB.GG沒看過這麼醜的雞吧PREMIER16,765 · Purple bandcsdb.gg/stats

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Performance scores

Aim72
Positioning76
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY46–42–12Last 10046%Win rateLWLWWWWLTW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · +0.3pp headshot accuracy · −14ms reaction

Win rate up 30pp 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 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 578ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 553ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 18%
  • Avg reaction 560ms

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 (+2.7 against its own average).

Aim7.2
Utility4.4
Positioning7.6
Opening Duels7.6
Clutch0.0

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 79% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower aim profile; lower utility contribution.

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

Strengths

T openings. 71% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 572ms 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

Aim7.2
Positioning7.6
Utility4.4
Mechanics7.7
Opening Duels8.7
Win Impact3.0

Composite 6.7/10 (Solid), 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 rating0.02+0.01
first ⅓ avg 0.01 → last ⅓ avg 0.02
Reaction time568ms−15ms
first ⅓ avg 582ms → last ⅓ avg 568ms
Headshot accuracy17.4%−0.7%
first ⅓ avg 18.1% → last ⅓ avg 17.4%

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

0.17Best match rating · 13–3 · cache, 11 Nov →
30%Best headshot accuracy · 9–13 · cache, 11 Nov →
406msFastest reaction time · 5–13 · ancient, 28 Oct →
13–0Biggest win · anubis, 29 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
8–5In matches decided by ≤2 rounds
1Overtime games

Map breakdown

ancientBest map · 63% over 8anubisWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B4219–2345%0.01
mirageC2410–1442%0.01
ancientA85–363%0.03
cacheA85–363%0.03
anubisD62–433%0.03
infernoA53–260%0.00
nuke—30–30%-0.02
train—31–233%0.01
overpass—11–0100%-0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

1Matches
0%Win rate
0.82Avg K/D
61.3ADR
50%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

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.

17.1%Headshot accuracy
35.6%Accuracy (enemy spotted)
36.2%Spray accuracy
84.5%Counter-strafing
10.4°Preaim
572msReaction time
70.6%T opening success
59.2%CT opening success
0.50Enemies flashed / flash
5.1%Flash assists
6.02HE damage / grenade
7.20Flashes / 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

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4982 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis5–130.0124%15 Nov →
dust213–8-0.0012%15 Nov →
dust27–130.0325%15 Nov →
ancient13–11-0.0211%15 Nov →
dust213–60.0427%12 Nov →
ancient13–30.1417%12 Nov →
anubis13–60.1516%12 Nov →
anubis10–13-0.0424%12 Nov →
dust212–12-0.0315%12 Nov →
mirage13–30.0911%12 Nov →
dust23–90.0021%12 Nov →
mirage8–13-0.0316%12 Nov →
inferno8–13-0.0015%12 Nov →
dust213–100.0112%12 Nov →
cache13–30.1725%11 Nov →
dust26–130.0315%11 Nov →
dust212–120.0221%11 Nov →
cache9–13-0.0130%11 Nov →
cache13–11-0.0213%11 Nov →
dust24–13-0.0610%9 Nov →
dust213–90.0617%9 Nov →
mirage12–12-0.0210%9 Nov →
dust21–130.0229%5 Nov →
dust26–13-0.0513%5 Nov →
dust212–120.0610%5 Nov →
mirage7–130.0717%3 Nov →
mirage6–130.0224%3 Nov →
nuke12–12-0.0814%3 Nov →
dust213–100.0320%2 Nov →
anubis11–130.039%2 Nov →
mirage13–80.0314%2 Nov →
dust212–120.0118%1 Nov →
ancient8–13-0.0420%1 Nov →
mirage6–130.0117%1 Nov →
mirage13–10.0927%1 Nov →
mirage12–12-0.0123%1 Nov →
train12–120.0019%1 Nov →
overpass13–9-0.0127%1 Nov →
mirage6–13-0.0518%1 Nov →
nuke5–130.0516%31 Oct →
inferno11–130.0823%31 Oct →
inferno13–20.0522%31 Oct →
dust213–5-0.0715%30 Oct →
mirage13–80.0027%30 Oct →
cache13–110.0422%30 Oct →
mirage13–30.0622%30 Oct →
dust213–10.0523%29 Oct →
dust211–130.0420%29 Oct →
mirage13–110.0326%29 Oct →
anubis13–00.0718%29 Oct →
dust213–110.0120%29 Oct →
ancient5–130.0114%28 Oct →
cache2–130.0227%28 Oct →
mirage5–13-0.0312%28 Oct →
dust212–120.0613%25 Oct →
inferno13–10-0.0515%21 Oct →
mirage13–10.0111%21 Oct →
dust212–12-0.0516%20 Oct →
anubis5–13-0.0615%18 Oct →
dust23–13-0.1210%18 Oct →
dust213–3-0.0124%18 Oct →
dust213–110.0112%16 Oct →
dust213–3-0.0412%16 Oct →
mirage10–13-0.0713%16 Oct →
ancient13–30.0627%16 Oct →
dust29–130.0220%15 Oct →
mirage3–13-0.069%13 Oct →
dust213–7-0.0321%13 Oct →
dust213–110.0223%12 Oct →
mirage13–100.0815%12 Oct →
dust213–70.0821%11 Oct →
dust213–60.0719%11 Oct →
mirage8–130.0214%11 Oct →
mirage12–12-0.0316%11 Oct →
mirage16–14-0.0117%9 Oct →
inferno13–6-0.088%9 Oct →
ancient9–13-0.0524%9 Oct →
train2–13-0.0518%9 Oct →
ancient13–10-0.0216%9 Oct →
train13–40.0722%8 Oct →
dust211–130.0322%8 Oct →
cache10–13-0.0010%8 Oct →
dust27–130.0320%8 Oct →
dust27–13-0.028%7 Oct →
mirage13–4-0.0012%7 Oct →
dust213–100.0522%7 Oct →
dust212–120.0322%7 Oct →
nuke8–13-0.0413%6 Oct →
dust210–13-0.0417%6 Oct →
dust213–80.0413%6 Oct →
dust29–13-0.0225%6 Oct →
mirage9–13-0.0125%5 Oct →
ancient13–10.1218%5 Oct →
dust213–70.0717%4 Oct →
dust29–13-0.0525%4 Oct →
mirage1–30.0330%4 Oct →
dust213–90.0715%30 Sept →
dust27–13-0.0519%23 Sept →
cache13–8-0.0011%18 Sept →
cache13–30.0420%15 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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