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Admiral Yi

Admiral Yi — CS2 Stats

DJ76561199078476469[U:1:1118210741]Steam profile ↗

254Tracked matches41%Win rate2025Tracked since
115Hours in CS
CSDB Rating3.3 Learning
Premier CS Rating6,543Light Blue band · top ~71.4% of ranked players (population est.)
CSDB Leaderboard#17170 of 22594 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate44.9%40.1%41.7%above
Shot accuracy0.3%7.6%8.8%8.5% short
Kill/death ratio0.680.920.970.29 short
Match win rate43.2%42.2%43.8%meets

This profile matches the typical Blue band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGAdmiral YiPREMIER6,543 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim45
Positioning37
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY36–59–5Last 10036%Win rateLLWWLLWWLL

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Aim4.5
Aggression3.2
Utility3.5
Positioning3.7
Opening Duels0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 73% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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. 624ms 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

Aim4.5
Positioning3.7
Utility3.5
Mechanics4.9
Opening Duels0.6
Win Impact2.1

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.03
Reaction time633ms−20ms
first ⅓ avg 653ms → last ⅓ avg 633ms
Headshot accuracy12.8%−0.9%
first ⅓ avg 13.7% → last ⅓ avg 12.8%

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.

Highlights

0.09Best rating — inferno 13–4
13–1Biggest win — nuke
3Longest win streak
L2Current streak
7–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 50% over 16ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageD186–1233%-0.04
dust2C167–944%-0.03
nukeB168–850%-0.02
infernoD144–1029%-0.01
cacheC125–742%-0.03
anubisD82–625%-0.05
ancientD61–517%-0.03
boulder—31–233%-0.05
vertigo—30–30%0.02
office—20–20%-0.06
overpass—11–0100%-0.04
train—11–0100%0.00

Across the last 100 tracked matches.

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

Lifetime stats

3,651Lifetime kills
0.68K/D
322Matches
43.2%Match win rate · Top 50% of Light Blue band
44.9%Headshot % · Top 25% of Light Blue band
0.3%Shot accuracy
379MVPs
115Hours (in match)
253Bombs planted
56Bombs defused

Most-used weapons

AK-471,069
M4A4 / M4A1-S967
XM1014243
P2000 / USP-S214
AWP169
Glock-18167
Galil AR108
Desert Eagle102
MP989
FAMAS74

Lifetime map wins

392nuke
374dust2
306inferno
133office
126train
121vertigo
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.

13.5%Headshot accuracy
32.3%Accuracy (enemy spotted)
34.3%Spray accuracy
72.0%Counter-strafing
10.9°Preaim
624msReaction time
21.6%T opening success
34.4%CT opening success
0.52Enemies flashed / flash
5.3%Flash assists
7.42HE damage / grenade
3.72Flashes / 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 13.4514% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

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

    Flashes per match 3.7237 — below the 4 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 21.6155% — below the 40% mark we flag

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–130.0712%29 Aug →
dust26–13-0.0918%29 Aug →
boulder13–5-0.054%28 Aug →
dust213–80.0319%23 Aug →
cache7–13-0.034%23 Aug →
mirage10–130.0110%22 Aug →
anubis13–5-0.026%19 Aug →
dust213–50.0716%19 Aug →
anubis11–13-0.0914%11 Aug →
ancient0–5-0.060%11 Aug →
dust211–13-0.0814%11 Aug →
nuke16–14-0.0214%11 Aug →
inferno10–13-0.067%10 Aug →
cache4–13-0.1018%8 Aug →
mirage2–13-0.0524%8 Aug →
cache15–15-0.0421%7 Aug →
dust213–7-0.0114%7 Aug →
mirage4–13-0.0121%7 Aug →
cache13–20.0617%3 Aug →
mirage5–13-0.019%3 Aug →
dust213–3-0.0210%3 Aug →
anubis8–13-0.0723%2 Aug →
vertigo11–13-0.006%2 Aug →
cache12–20.019%2 Aug →
nuke7–13-0.042%2 Aug →
office4–12-0.0718%2 Aug →
mirage13–100.0313%2 Aug →
cache5–13-0.0513%1 Aug →
nuke13–9-0.0110%1 Aug →
inferno13–90.0029%29 Jul →
mirage4–13-0.119%28 Jul →
dust28–13-0.0610%27 Jul →
anubis11–13-0.0810%24 Jul →
nuke8–13-0.1211%24 Jul →
anubis16–14-0.0515%21 Jul →
nuke13–4-0.0114%21 Jul →
mirage5–13-0.0513%20 Jul →
inferno13–40.0925%19 Jul →
inferno5–13-0.115%18 Jul →
mirage12–12-0.0910%17 Jul →
cache13–11-0.086%17 Jul →
nuke9–13-0.086%16 Jul →
office2–13-0.050%11 Jul →
boulder8–13-0.0418%10 Jul →
dust29–130.0014%10 Jul →
boulder12–12-0.058%10 Jul →
mirage13–11-0.069%9 Jul →
cache5–13-0.040%8 Jul →
nuke12–12-0.006%8 Jul →
inferno3–13-0.076%7 Jul →
nuke9–13-0.0410%7 Jul →
cache12–12-0.0215%5 Jul →
nuke13–10.0514%5 Jul →
cache4–13-0.0516%4 Jul →
ancient9–13-0.0510%4 Jul →
inferno13–80.0212%4 Jul →
dust211–13-0.104%3 Jul →
mirage13–9-0.0815%2 Jul →
inferno9–13-0.029%1 Jul →
nuke13–10.0917%1 Jul →
nuke7–13-0.065%1 Jul →
nuke2–13-0.0718%30 Jun →
dust213–60.0425%30 Jun →
mirage10–13-0.058%30 Jun →
mirage7–13-0.0614%30 Jun →
dust213–60.0110%29 Jun →
mirage6–13-0.035%29 Jun →
overpass16–13-0.0413%29 Jun →
dust21–13-0.0613%29 Jun →
mirage4–13-0.0422%29 Jun →
mirage13–50.017%29 Jun →
dust29–130.0220%28 Jun →
anubis7–13-0.037%28 Jun →
dust211–13-0.036%28 Jun →
dust20–13-0.0719%28 Jun →
nuke13–90.0417%28 Jun →
inferno2–90.056%28 Jun →
mirage3–13-0.0619%27 Jun →
ancient10–13-0.052%27 Jun →
ancient13–10.0715%27 Jun →
inferno8–130.0217%27 Jun →
cache13–10-0.077%27 Jun →
anubis14–16-0.0117%27 Jun →
inferno16–14-0.0516%25 Jun →
nuke11–130.0514%25 Jun →
anubis4–13-0.0813%25 Jun →
ancient7–13-0.0419%25 Jun →
inferno9–13-0.0213%25 Jun →
nuke13–10-0.0712%24 Jun →
train4–40.0013%23 Jun →
vertigo11–130.0111%23 Jun →
mirage13–8-0.0413%22 Jun →
dust213–11-0.0811%22 Jun →
cache13–8-0.0112%22 Jun →
inferno8–13-0.0511%22 Jun →
nuke13–60.0330%22 Jun →
inferno6–13-0.0116%20 Jun →
vertigo9–130.0616%20 Jun →
mirage13–5-0.0115%20 Jun →
ancient10–13-0.0510%19 Jun →

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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