Yumai

Yumai — CS2 Stats

MT76561198298690215[U:1:338424487]Steam profile ↗✓ No bans

6,275Tracked matches46%Win rate2020Tracked since
6,418Hours in CS
CSDB Rating6.4 SolidPositional Player
Premier CS Rating26,177Top 10% of 212,133 CSDB-tracked playersRed band · top ~2.4% of ranked players (population est.)
CSDB Leaderboard#12157 of 259046 tracked
FaceitLevel 10 · 1,977 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 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: 26,177 +44 6 Sept – 30 Oct · 22 days played
24,89226,761peak 26,7616 Sept30 Oct
Faceit ELO: 1,977 +0 6 Sept – 14 Sept · 3 observations
1,9771,977peak 1,9776 Sept14 Sept
26,866Peak Premier in tracked matches
1,977Highest Faceit ELO seen on CSDB
31Days played since 2026-09-06

Faceit ELO

  • At peak — 1,977
  • Next: Level 10 at 2,001 — 24 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-06
  • Level 8 first seen 2026-09-06

Premier CS Rating

  • 584 below peak (26,761)
  • +592 over 30 days · improving
  • Next: Gold band at 30,000 — 3,823 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-06
  • Pink band first seen 2026-09-06

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=30,986), 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 playerLevel 10 median
Headshot rate43.6%50.9%
Shot accuracy11.7%13.7%
Kill/death ratio1.031.09
Match win rate46.8%48.4%

Share this profile

CSDB.GGYumaiFACEITLevel 10 · 1,977 ELOSTANDINGTop 12.4% of rankedPREMIER26,177 · Red bandPEAK ELO1,977csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim81
Positioning69
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY46–48–6Last 10046%Win rateWLWWWWTLLL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +0.5pp headshot accuracy · +27ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 13%
  • Avg reaction 470ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 534ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 16%
  • Avg reaction 521ms

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).

Aim8.1
Utility1.9
Positioning6.9
Opening Duels3.6
Clutch4.4

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

donk

Plays most like donk 76% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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

Strengths

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

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

CT openings. Opening success drops from 71% on T to 41% on CT — first contacts on the defending side are being lost.

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

Aim8.1
Positioning6.9
Utility1.9
Mechanics6.6
Opening Duels6.3
Win Impact3.8

Composite 6.4/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time517ms−14ms
first ⅓ avg 531ms → last ⅓ avg 517ms
Headshot accuracy15.2%+0.1%
first ⅓ avg 15.0% → last ⅓ avg 15.2%

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

0.18Best match rating · 13–3 · cache, 3 Oct →
30%Best headshot accuracy · 6–8 · rush_001, 3 Oct →
398msFastest reaction time · 13–11 · inferno, 26 Oct →
13–3Biggest win · cache, 3 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–3In matches decided by ≤2 rounds
5Overtime games

Map breakdown

mirageBest map · 73% over 15infernoWeakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
dust2C2310–1343%0.01
infernoD164–1225%0.02
mirageS1511–473%0.03
cacheA117–464%0.02
ancientB115–645%0.02
anubisD72–529%0.04
vertigoD72–529%0.01
nukeA53–260%-0.04
rush_001—20–20%-0.16
office—11–0100%-0.03
boulder—11–0100%0.07
train—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

285,583Lifetime kills
1.03K/D
12,448Matches
46.8%Match win rate
43.6%Headshot %
11.7%Shot accuracy
38,163MVPs
6,418Hours (in match)
16,331Bombs planted
7,642Bombs defused

Most-used weapons

AK-4789,655
AWP21,205
Glock-1812,649
MP97,352
Negev5,273
SSG 084,720

Lifetime map wins

29,670inferno
17,797dust2
4,528nuke
3,922vertigo
3,076train
2,301cbble
1,215office
250italy

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

2,194Matches
51%Win rate
1.14Avg K/D
86.3ADR
38%Headshot %

Clutches & streaks

42%1v1 clutch win
17%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage19049%1.0516.6
Ancient18051%1.0316.4
Anubis13953%1.0516.7
Inferno13252%1.1717.6
Dust211947%1.0516.9
Overpass3540%1.0115.1
Nuke3456%0.9514.6
Train3060%1.1017.2

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.

14.7%Headshot accuracy
38.7%Accuracy (enemy spotted)
39.3%Spray accuracy
79.8%Counter-strafing
8.4°Preaim
520msReaction time
71.0%T opening success
40.7%CT opening success
0.26Enemies flashed / flash
2.9%Flash assists
10.79HE damage / grenade
1.04Flashes / 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 14.7373% — below the 15% mark we flag

    Aim Training →
  2. 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 0.2621 — below the 0.5 mark we flag

    Grenade Lineups →
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.

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
office13–4-0.0311%30 Oct →
inferno11–130.069%30 Oct →
dust213–80.0414%30 Oct →
mirage13–70.1821%30 Oct →
nuke13–9-0.0510%30 Oct →
mirage13–5-0.0514%29 Oct →
dust212–12-0.0320%29 Oct →
mirage6–13-0.0222%29 Oct →
anubis7–130.0310%29 Oct →
mirage3–13-0.0528%27 Oct →
boulder13–100.0717%26 Oct →
inferno13–110.0516%26 Oct →
dust27–130.0113%26 Oct →
cache16–130.0011%26 Oct →
mirage13–70.0418%25 Oct →
dust25–13-0.0510%25 Oct →
mirage13–50.1021%25 Oct →
inferno0–13-0.009%25 Oct →
vertigo5–130.0827%25 Oct →
cache7–130.0114%25 Oct →
ancient15–15-0.0111%25 Oct →
mirage1–13-0.049%25 Oct →
anubis10–130.0111%23 Oct →
dust26–13-0.0610%23 Oct →
mirage13–110.0110%23 Oct →
ancient13–80.0015%23 Oct →
inferno8–13-0.0220%22 Oct →
dust25–13-0.0122%22 Oct →
anubis13–100.0713%21 Oct →
cache12–16-0.0614%21 Oct →
inferno3–130.0120%21 Oct →
dust213–50.1321%21 Oct →
inferno5–130.0512%21 Oct →
cache13–6-0.0429%20 Oct →
dust213–70.0614%20 Oct →
ancient13–90.0428%19 Oct →
ancient13–7-0.018%19 Oct →
cache13–50.1114%19 Oct →
cache15–15-0.049%19 Oct →
vertigo4–13-0.0614%18 Oct →
inferno6–130.0416%18 Oct →
dust27–130.1219%18 Oct →
inferno5–130.0421%17 Oct →
nuke9–13-0.0520%15 Oct →
cache13–110.0212%15 Oct →
anubis8–13-0.0310%14 Oct →
anubis13–90.1318%13 Oct →
mirage13–80.0411%13 Oct →
ancient4–13-0.038%13 Oct →
cache13–11-0.0219%13 Oct →
anubis11–13-0.0015%12 Oct →
ancient8–130.028%12 Oct →
nuke13–100.0017%12 Oct →
ancient13–100.0016%11 Oct →
ancient8–130.0611%11 Oct →
vertigo7–13-0.0211%11 Oct →
nuke13–8-0.0421%11 Oct →
ancient13–100.0912%11 Oct →
dust213–50.0116%11 Oct →
dust211–30.0911%11 Oct →
dust213–90.0111%11 Oct →
dust29–13-0.0114%11 Oct →
inferno5–13-0.0412%8 Oct →
vertigo13–9-0.0216%8 Oct →
dust213–90.0312%5 Oct →
vertigo6–13-0.0217%5 Oct →
inferno13–90.0611%5 Oct →
inferno10–130.0214%3 Oct →
inferno12–120.0924%3 Oct →
anubis12–120.0714%3 Oct →
dust23–13-0.0613%3 Oct →
cache13–30.1822%3 Oct →
inferno13–110.0428%3 Oct →
mirage13–90.0316%3 Oct →
rush_0010–4-0.2515%3 Oct →
rush_0016–8-0.0730%3 Oct →
dust213–110.0513%2 Oct →
dust212–16-0.0114%2 Oct →
train5–13-0.0419%2 Oct →
vertigo7–130.0711%2 Oct →
dust27–13-0.0316%2 Oct →
mirage13–90.0514%2 Oct →
nuke5–13-0.1011%2 Oct →
inferno13–110.039%26 Sept →
dust25–13-0.0115%26 Sept →
cache13–3-0.0217%26 Sept →
vertigo13–100.058%25 Sept →
ancient12–120.0414%25 Sept →
cache8–130.089%25 Sept →
mirage13–50.1229%24 Sept →
mirage9–13-0.0117%23 Sept →
inferno4–13-0.0313%22 Sept →
mirage13–11-0.0210%22 Sept →
ancient9–130.025%21 Sept →
mirage13–110.0812%21 Sept →
dust27–13-0.0415%19 Sept →
dust213–7-0.028%17 Sept →
inferno10–13-0.0614%17 Sept →
dust26–13-0.0218%12 Sept →
dust213–110.0813%11 Sept →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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