Fei Yu-Ching

Fei Yu-Ching — CS2 Stats

76561198061924107[U:1:101658379]Steam profile ↗✓ No bans

827Tracked matches61%Win rate2020Tracked since
CSDB Rating6.3 SolidSupport
Premier CS Rating16,233Purple band · top ~23.5% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 827 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 16,233 -2,417 30 Jul – 5 Oct · 14 days played
14,68319,088peak 19,08830 Jul5 Oct
19,265Peak Premier in tracked matches
29Days played since 2026-07-20

Premier CS Rating

  • 2,855 below peak (19,088)
  • +1,234 over 30 days · improving
  • Next: Pink band at 20,000 — 3,767 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-22
  • Blue band first seen 2026-08-28

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

Share this profile

CSDB.GGFei Yu-ChingFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER16,233 · Purple bandcsdb.gg/stats

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Performance scores

Aim65
Positioning58
Utility59

0–100 skill scores via Leetify.

Recent form

HOT49–46–5Last 10049%Win rateWWWWTWWWLW

Last 10 vs previous 10: +20pp win rate · −0.04 avg rating · +2.0pp headshot accuracy · +18ms reaction

Win rate up 20pp 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 (−0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–0–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 685ms

Last 10

  • 8–1–1 · 80% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 670ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 661ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim6.5
Utility5.9
Positioning5.8
Opening Duels1.5

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

Twistzz

Plays most like Twistzz 82% 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

CT openings. Opening success drops from 51% on T to 34% on CT — first contacts on the defending side are being lost.

Reaction time. 664ms 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

Aim6.5
Positioning5.8
Utility5.9
Mechanics7.6
Opening Duels3.1
Win Impact8.6

Composite 6.3/10 (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 rating-0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg -0.00
Reaction time662ms−54ms
first ⅓ avg 716ms → last ⅓ avg 662ms
Headshot accuracy13.2%−2.3%
first ⅓ avg 15.5% → last ⅓ avg 13.2%

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 · 13–4 · train, 25 Sept →
33%Best headshot accuracy · 13–2 · dust2, 26 Sept →
445msFastest reaction time · 9–13 · mirage, 29 Jul →
13–0Biggest win · cache, 17 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W4Current streak
3–11In matches decided by ≤2 rounds
6Overtime games

Map breakdown

cacheBest map · 58% over 12infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A3218–1456%-0.00
mirageC2510–1540%-0.03
ancientC125–742%-0.03
cacheA127–558%-0.01
nukeC52–340%-0.03
infernoD51–420%-0.04
vertigo—42–250%-0.02
office—22–0100%0.02
anubis—21–150%0.01
train—11–0100%0.14

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

12.8%Headshot accuracy
37.4%Accuracy (enemy spotted)
38.9%Spray accuracy
84.3%Counter-strafing
9.9°Preaim
664msReaction time
51.0%T opening success
33.9%CT opening success
0.69Enemies flashed / flash
9.0%Flash assists
11.49HE damage / grenade
8.36Flashes / 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. 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 12.7814% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 33.8881% — below the 40% mark we flag

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–5-0.016%5 Oct →
vertigo13–8-0.0613%4 Oct →
office13–4-0.0117%4 Oct →
mirage13–5-0.0423%4 Oct →
mirage12–12-0.057%4 Oct →
dust213–5-0.0121%4 Oct →
dust213–70.0114%4 Oct →
ancient13–5-0.0213%28 Sept →
nuke9–13-0.0513%27 Sept →
office13–90.0415%27 Sept →
mirage13–7-0.032%27 Sept →
mirage9–130.076%27 Sept →
dust210–130.0217%27 Sept →
cache13–40.049%27 Sept →
cache13–30.0210%27 Sept →
mirage13–8-0.027%27 Sept →
dust210–13-0.0117%27 Sept →
dust213–30.0312%27 Sept →
dust211–130.0010%26 Sept →
dust213–20.0833%26 Sept →
dust213–9-0.0215%26 Sept →
anubis12–16-0.056%26 Sept →
mirage12–160.0316%26 Sept →
ancient11–130.0012%25 Sept →
dust212–120.0118%25 Sept →
dust29–13-0.089%25 Sept →
dust213–60.0216%25 Sept →
train13–40.1426%25 Sept →
nuke12–80.025%25 Sept →
dust27–13-0.058%21 Sept →
ancient3–13-0.0214%21 Sept →
ancient13–30.0215%21 Sept →
cache11–13-0.0614%21 Sept →
dust213–40.1116%21 Sept →
dust212–12-0.0214%20 Sept →
ancient14–16-0.0914%20 Sept →
vertigo0–4-0.140%19 Sept →
inferno13–11-0.0710%19 Sept →
mirage13–11-0.0117%19 Sept →
dust216–130.0116%19 Sept →
cache13–00.034%17 Sept →
vertigo13–20.0510%14 Sept →
cache5–13-0.0711%30 Aug →
cache11–130.0018%30 Aug →
dust213–6-0.0015%30 Aug →
dust211–13-0.0510%30 Aug →
cache13–60.0112%26 Aug →
dust213–4-0.0211%26 Aug →
cache13–4-0.057%26 Aug →
ancient13–10.0410%26 Aug →
dust213–6-0.028%26 Aug →
dust213–8-0.029%25 Aug →
mirage7–13-0.076%25 Aug →
mirage10–130.0312%25 Aug →
dust211–130.0214%25 Aug →
dust24–13-0.0713%24 Aug →
inferno4–13-0.0624%24 Aug →
inferno2–130.0215%24 Aug →
mirage11–13-0.0521%24 Aug →
mirage6–13-0.0126%24 Aug →
nuke8–13-0.0515%23 Aug →
ancient7–13-0.045%23 Aug →
cache13–40.0716%15 Aug →
nuke13–9-0.0415%15 Aug →
mirage3–13-0.0521%15 Aug →
ancient12–12-0.0515%14 Aug →
dust211–130.1221%14 Aug →
mirage13–7-0.0416%13 Aug →
dust213–2-0.0113%13 Aug →
dust26–13-0.047%12 Aug →
inferno4–13-0.0926%12 Aug →
dust213–4-0.0113%12 Aug →
inferno7–13-0.0224%12 Aug →
dust213–3-0.0215%11 Aug →
mirage4–4-0.0211%11 Aug →
ancient13–6-0.0511%11 Aug →
mirage12–12-0.0213%11 Aug →
mirage13–3-0.0325%1 Aug →
mirage6–130.0212%1 Aug →
nuke13–10-0.0428%1 Aug →
cache12–16-0.0613%1 Aug →
dust213–20.0114%31 Jul →
vertigo11–130.0617%31 Jul →
mirage13–3-0.036%31 Jul →
mirage3–13-0.0315%31 Jul →
ancient13–70.0226%31 Jul →
ancient14–16-0.0213%30 Jul →
dust28–13-0.0424%30 Jul →
mirage6–13-0.0914%30 Jul →
dust213–1-0.0312%30 Jul →
dust21–13-0.0515%30 Jul →
ancient3–13-0.1313%30 Jul →
cache13–6-0.0611%30 Jul →
mirage9–13-0.1117%29 Jul →
mirage13–10-0.0012%29 Jul →
anubis13–100.0716%28 Jul →
mirage8–13-0.029%28 Jul →
dust213–2-0.0132%22 Jul →
cache0–13-0.0520%21 Jul →
mirage2–13-0.060%20 Jul →

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 →

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