Yåda

Yåda — CS2 Stats

76561198889979865[U:1:929714137]Steam profile ↗✓ No bans

1,251Tracked matches53%Win rate2020Tracked since
1,016Hours in CS
CSDB Rating6.7 SolidAggressive Rifler
FaceitLevel 10 · 2,663 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 rate49.2%52.0%
Shot accuracy10.8%13.7%
Kill/death ratio1.431.08
Match win rate52.4%48.8%

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CSDB.GGYådaFACEITLevel 10 · 2,663 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim85
Positioning63
Utility45

0–100 skill scores via Leetify.

Recent form

STEADY47512Last 10047%Win rateLLWLLWWWLL

Last 10 vs previous 10: -20pp win rate · -0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.5
Aggression7.0
Utility4.5
Positioning6.3
Opening Duels3.5
Clutch3.2

Sharp aimerLimited 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.

Your pro match

ropz

Plays most like ropz 93% playstyle similarity

Most alike: opening-fight frequency, positioning 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.

Reaction time. 561ms 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

Aim8.5
Positioning6.3
Utility4.5
Mechanics7.3
Opening Duels3.5
Win Impact6.1

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.02
first ⅓ avg 0.05 → last ⅓ avg 0.03
Reaction time560ms−27ms
first ⅓ avg 586ms → last ⅓ avg 560ms
Headshot accuracy17.6%+0.8%
first ⅓ avg 16.8% → last ⅓ avg 17.6%

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

0.29Best rating — inferno 13–2
130Biggest win — vertigo
5Longest win streak
L2Current streak
1311In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 86% over 7infernoWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC34142041%0.03
vertigoA1911858%0.05
nukeC125742%0.04
infernoC83538%0.07
ancientS76186%0.08
overpassC73443%0.03
dust2C52340%0.01
train41325%0.10
anubis32167%-0.01
cache1010%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,935Lifetime kills
1.43K/D · Top 10% of Level 10 players
2,160Matches
52.4%Match win rate · Top 25% of Level 10 players
49.2%Headshot %
10.8%Shot accuracy
8,354MVPs
1,016Hours (in match)
1,800Bombs planted
859Bombs defused

Most-used weapons

AK-4726,828
AWP5,246
MP91,446
Knife1,360
MAC-101,024

Lifetime map wins

3,583vertigo
2,443nuke
2,431inferno
1,523dust2
850train
97office
34italy
1cbble

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

Faceit stats

Combat

677Matches
53%Win rate
1.45Avg K/D
97.5ADR
43%Headshot %

Clutches & streaks

36%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage12546%1.3120.0
Anubis11354%1.5921.7
Ancient7658%1.5220.2
Vertigo6853%1.5721.7
Nuke5956%1.4721.1
Dust22938%1.2619.4
Inferno1735%1.3518.5
Overpass1650%1.3220.7

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.

17.6%Headshot accuracy
39.3%Accuracy (enemy spotted)
41.9%Spray accuracy
82.8%Counter-strafing
8.6°Preaim
561msReaction time
36.7%T opening success
51.2%CT opening success
0.69Enemies flashed / flash
8.6%Flash assists
10.37HE damage / grenade
5.00Flashes / 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. 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 36.7376% — 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.

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
vertigo17–190.0416%28 Jul
mirage13–16-0.0017%28 Jul
mirage13–70.0014%22 Jul
mirage4–130.0213%22 Jul
anubis10–13-0.045%22 Jul
vertigo13–90.0713%21 Jul
mirage13–50.1116%21 Jul
vertigo13–90.0114%21 Jul
mirage10–130.0315%21 Jul
vertigo10–130.0119%21 Jul
mirage13–110.0920%21 Jul
nuke8–130.0214%19 Jul
mirage10–130.0114%18 Jul
vertigo11–13-0.0315%18 Jul
mirage13–90.0213%18 Jul
vertigo13–110.1521%18 Jul
mirage13–50.0919%18 Jul
mirage13–80.0728%18 Jul
anubis13–100.0319%18 Jul
dust27–13-0.0139%18 Jul
vertigo13–11-0.0116%17 Jul
mirage5–13-0.067%17 Jul
mirage8–13-0.0220%17 Jul
vertigo13–50.1121%17 Jul
nuke13–110.0217%17 Jul
inferno6–13-0.0117%16 Jul
vertigo13–90.0229%16 Jul
mirage11–130.0819%16 Jul
vertigo13–00.0620%16 Jul
mirage13–90.0722%16 Jul
mirage13–110.0113%16 Jul
mirage17–190.0016%23 Jun
dust213–70.0219%23 Jun
mirage10–130.1130%22 Jun
vertigo8–130.1315%22 Jun
ancient13–70.1129%22 Jun
vertigo13–100.0315%22 Jun
vertigo13–50.1222%22 Jun
ancient13–80.0816%22 Jun
mirage13–80.0620%22 Jun
train11–130.0521%22 Jun
vertigo10–130.0523%21 Jun
ancient13–60.1213%21 Jun
mirage11–13-0.0417%21 Jun
inferno13–20.0320%21 Jun
cache11–13-0.0024%21 Jun
mirage13–90.0620%21 Jun
mirage11–130.0725%21 Jun
dust21–13-0.0229%11 May
mirage9–130.0918%11 May
inferno3–130.0422%11 May
mirage13–110.0318%29 Apr
mirage3–130.0533%28 Apr
inferno6–130.0216%11 Mar
ancient13–100.0724%11 Mar
nuke13–110.0110%6 Feb
mirage16–140.0922%5 Feb
inferno5–130.0916%7 Nov
mirage5–130.027%7 Nov
train9–100.169%7 Nov
nuke3–13-0.0212%6 Nov
ancient13–80.0213%4 Nov
inferno13–6-0.0120%3 Nov
overpass13–60.108%3 Nov
mirage9–130.0113%3 Nov
ancient13–70.0810%3 Nov
mirage11–130.0117%3 Nov
nuke8–130.0614%31 Oct
mirage11–130.0515%31 Oct
overpass2–13-0.0021%31 Oct
overpass13–110.0610%31 Oct
mirage7–130.0219%27 Oct
mirage10–130.0710%26 Oct
mirage7–13-0.0812%25 Oct
train13–40.1524%25 Oct
inferno13–20.2912%24 Oct
vertigo4–130.0417%22 Oct
train12–120.0214%19 Sept
nuke9–130.0933%18 Sept
vertigo2–13-0.0617%6 Sept
nuke5–13-0.0110%6 Sept
anubis13–10-0.0119%29 Aug
vertigo7–130.1013%29 Aug
nuke10–130.1414%28 Aug
nuke13–60.1015%28 Aug
vertigo13–60.2025%28 Aug
vertigo13–10-0.0123%28 Aug
ancient7–130.0718%28 Aug
inferno12–120.1011%28 Aug
mirage13–110.0413%19 Aug
overpass10–130.0010%23 Jul
dust28–130.0321%22 Jul
dust213–110.0420%22 Jul
nuke5–13-0.0515%22 Jul
overpass13–10.0318%20 Jul
overpass10–130.0414%20 Jul
nuke13–80.0119%20 Jul
nuke13–110.0619%20 Jul
mirage13–110.0414%20 Jul
overpass2–13-0.0423%19 Jul

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →