yo999da

yo999da — CS2 Stats

US76561198089174725[U:1:128908997]Steam profile ↗

2,963Tracked matches48%Win rate2021Tracked since
6,140Hours in CS66Hrs last 2 wks
CSDB Rating5.4 DevelopingPassive Rifler
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=1,146), 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 8 medianLevel 9 medianvs Level 9
Headshot rate45.6%47.2%49.0%3.3% short
Shot accuracy6.9%12.3%13.1%6.2% short
Kill/death ratio1.061.071.080.02 short
Match win rate34.2%46.3%46.9%12.7% short

This profile sits below the typical Level 9 player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGyo999daFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim78
Positioning49
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY52444Last 10052%Win rateWWWLLWWLLL

Last 10 vs previous 10: -20pp win rate · -0.05 avg rating

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim7.8
Aggression4.2
Utility4.8
Positioning4.9
Opening Duels0.3
Clutch6.2

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 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

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

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

Aim7.8
Positioning4.9
Utility4.8
Mechanics5.8
Opening Duels0.7
Win Impact4.4

Composite 5.4/10 (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 rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time514ms−80ms
first ⅓ avg 593ms → last ⅓ avg 514ms
Headshot accuracy14.7%−2.2%
first ⅓ avg 16.9% → last ⅓ avg 14.7%

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.

Highlights

0.40Best rating — debris 9–2
130Biggest win — vertigo
10Longest win streak
W3Current streak
85In matches decided by ≤2 rounds
2Overtime games

Map breakdown

trainBest map · 83% over 6mirageWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
nukeC1981142%0.01
infernoB168850%0.05
cacheA117464%0.01
mirageD93633%0.00
officeC94544%0.02
vertigoC83538%0.06
dust2S75271%0.04
trainS65183%0.08
overpassC52340%0.04
anubis21150%-0.02
ancient220100%-0.02
poseidon21150%-0.00
italy110100%-0.00
eldorado1010%-0.08
debris110100%0.40
shelter110100%-0.03

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

145,972Lifetime kills
1.06K/D
8,066Matches
34.2%Match win rate
45.6%Headshot %
6.9%Shot accuracy
22,337MVPs
1,951Hours (in match)
4,704Bombs planted
991Bombs defused

Most-used weapons

AK-4750,385
AWP33,951
SSG 085,473
MP92,111
MAC-101,517

Lifetime map wins

6,641inferno
6,513dust2
6,191nuke
2,732vertigo
1,563train
1,029office
539cbble
314italy

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

Faceit stats

Combat

71Matches
61%Win rate
1.23Avg K/D
80.3ADR
39%Headshot %

Clutches & streaks

51%1v1 clutch win
36%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust21675%1.4917.8
Mirage1662%1.0715.3
Anubis1050%1.1919.3
Ancient650%1.0712.0
Cache667%1.8415.3
Nuke475%1.1818.0
Inferno367%1.0218.3

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.

14.6%Headshot accuracy
37.8%Accuracy (enemy spotted)
43.7%Spray accuracy
76.2%Counter-strafing
9.5°Preaim
518msReaction time
27.0%T opening success
35.5%CT opening success
0.51Enemies flashed / flash
8.2%Flash assists
8.79HE damage / grenade
9.82Flashes / 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 14.5946% — below the 15% mark we flag

    Aim Training
  2. 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 27.0069% — below the 40% mark we flag

Spend your practice time on Mirage

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

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–4-0.0112%28 Aug
vertigo13–00.2111%28 Aug
mirage13–3-0.0110%28 Aug
office10–130.0719%28 Aug
office4–13-0.0121%28 Aug
inferno13–11-0.0123%28 Aug
office5–5-0.0330%27 Aug
mirage6–13-0.0615%26 Aug
nuke5–13-0.0012%25 Aug
vertigo4–130.0215%25 Aug
anubis13–110.0014%25 Aug
dust213–110.0725%25 Aug
nuke9–40.2113%25 Aug
inferno13–50.0117%23 Aug
nuke13–90.027%23 Aug
nuke8–130.0315%23 Aug
vertigo12–120.1018%23 Aug
train13–90.0813%22 Aug
inferno10–130.0418%22 Aug
dust213–50.0820%22 Aug
nuke8–80.0922%21 Aug
inferno3–9-0.168%21 Aug
mirage11–130.0524%21 Aug
cache8–13-0.039%20 Aug
dust29–13-0.027%20 Aug
ancient13–10-0.0610%18 Aug
mirage4–130.0610%18 Aug
overpass8–130.0415%17 Aug
inferno4–130.1413%17 Aug
train13–50.1411%17 Aug
nuke11–13-0.054%17 Aug
italy13–4-0.0013%17 Aug
cache14–16-0.0611%16 Aug
office0–10-0.0329%16 Aug
overpass8–13-0.0015%15 Aug
nuke11–130.0715%15 Aug
poseidon6–9-0.107%15 Aug
office8–13-0.032%15 Aug
mirage6–130.0020%15 Aug
nuke13–110.0523%15 Aug
train13–30.0510%14 Aug
cache13–10-0.0010%14 Aug
dust213–50.0116%14 Aug
mirage16–130.0613%14 Aug
mirage8–13-0.0320%14 Aug
inferno6–90.0721%14 Aug
nuke2–9-0.154%14 Aug
nuke13–10.0425%14 Aug
inferno4–130.0214%14 Aug
vertigo4–9-0.146%14 Aug
inferno9–50.1010%14 Aug
cache13–90.0718%13 Aug
vertigo9–20.2819%11 Aug
nuke13–50.1418%10 Aug
inferno5–130.0221%10 Aug
poseidon9–20.0933%10 Aug
cache13–60.074%9 Aug
vertigo8–8-0.0317%9 Aug
inferno9–50.1114%9 Aug
eldorado3–9-0.0836%9 Aug
nuke9–60.0521%9 Aug
office13–90.1016%9 Aug
mirage13–30.0227%8 Aug
nuke4–13-0.013%8 Aug
inferno3–9-0.0018%8 Aug
overpass9–30.1317%8 Aug
overpass7–90.0027%7 Aug
inferno5–90.0428%7 Aug
inferno13–10-0.009%6 Aug
cache13–50.0212%6 Aug
train8–13-0.0112%5 Aug
cache7–13-0.017%5 Aug
nuke8–13-0.0215%5 Aug
inferno9–70.035%4 Aug
nuke6–9-0.0615%4 Aug
inferno9–40.2431%4 Aug
office7–13-0.0315%4 Aug
nuke13–4-0.0616%4 Aug
ancient13–90.0210%3 Aug
dust213–110.0210%3 Aug
cache13–90.0119%3 Aug
train13–70.129%3 Aug
inferno9–20.1520%3 Aug
debris9–20.4016%3 Aug
vertigo13–70.0325%2 Aug
office7–7-0.0150%2 Aug
shelter13–8-0.0319%2 Aug
nuke3–130.0426%2 Aug
nuke13–5-0.0412%1 Aug
mirage2–13-0.0716%30 Jul
nuke4–13-0.0622%29 Jul
dust213–3-0.0114%29 Jul
cache13–60.0012%27 Jul
anubis0–13-0.0518%27 Jul
office13–70.1220%27 Jul
overpass13–80.0219%26 Jul
dust212–120.1217%26 Jul
cache7–130.0419%26 Jul
train13–50.0811%26 Jul
vertigo8–130.0110%25 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches10-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →