yogi

yogi — CS2 Stats

PK76561198125000474[U:1:164734746]Steam profile ↗✓ No bans

2,483Tracked matches55%Win rate2023Tracked since
2,862Hours in CS1Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,483 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 26,095 +2,097 31 May – 1 Jul · 18 days played
22,61326,360peak 26,36031 May1 Jul
26,360Peak Premier in tracked matches
1,767Highest Faceit ELO seen on CSDB
32Days played since 2026-05-31

Faceit ELO

  • At peak — 1,767
  • Next: Level 10 at 2,001 — 234 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-09-15
  • Level 8 first seen 2026-09-15

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.

Compare periods

Last 30 days vs previous 30

No matches recorded between 7 Sep 2026 and 8 Oct 2026.

Measured 7 Sep 2026 → 8 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

Share this profile

CSDB.GGyogiPEAK ELO1,767csdb.gg/stats

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Performance scores

Aim90
Positioning64
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY57–39–4Last 10057%Win rateLWWWWLWLLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −3.7pp headshot accuracy · +33ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 19%
  • Avg reaction 633ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 18%
  • Avg reaction 605ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 20%
  • Avg reaction 589ms

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 (+1.8 against its own average).

Aim9.0
Utility3.6
Positioning6.4
Opening Duels5.5
Clutch3.0

Sharp aimerExcellent counter-strafingLimited 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 86% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; lower utility contribution.

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

Aim. Aim score of 90 — the mechanical foundation is a clear strength.

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

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. 585ms 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

Aim9.0
Positioning6.4
Utility3.6
Mechanics9.3
Opening Duels4.5
Win Impact6.7

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.03
first ⅓ avg 0.01 → last ⅓ avg 0.04
Reaction time578ms−3ms
first ⅓ avg 580ms → last ⅓ avg 578ms
Headshot accuracy19.6%+1.0%
first ⅓ avg 18.6% → last ⅓ avg 19.6%

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.

Personal bests

0.26Best match rating · 9–4 · nuke, 28 Aug →
60%Best headshot accuracy · 5–1 · office, 14 Jul →
375msFastest reaction time · 3–13 · office, 10 Jul →
13–1Biggest win · anubis, 20 Jun →

Across the last 100 tracked matches.

Highlights

10Longest win streak
12–7In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 77% over 13infernoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
cacheS1711–665%0.00
ancientC156–940%0.01
dust2S1310–377%0.01
nukeA127–558%0.05
anubisA117–464%0.02
vertigoC73–443%0.01
mirageS64–267%-0.01
infernoD51–420%0.02
office—42–250%0.08
overpass—42–250%-0.02
train—31–233%-0.02
shelter—22–0100%0.12
boulder—11–0100%0.09

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.

Lifetime stats

213,617Lifetime kills
2.00K/D · Top 5% of tracked players
4,152Matches
43.6%Match win rate
68.1%Headshot % · Top 1% of tracked players
3.8%Shot accuracy
11,161MVPs
2,475Hours (in match)
3,127Bombs planted
2,232Bombs defused

Most-used weapons

AK-47122,569
AWP12,360
MP93,826
MAC-102,261
FAMAS1,622

Lifetime map wins

6,678dust2
4,738inferno
3,751nuke
2,503vertigo
1,125office
1,103train
628italy
176cbble

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

Faceit stats

Combat

237Matches
57%Win rate
1.14Avg K/D
82.5ADR
39%Headshot %

Clutches & streaks

35%1v1 clutch win
31%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Dust25860%1.0915.7
Anubis3770%1.2918.7
Ancient2966%1.1117.2
Mirage2741%0.9914.9
Nuke2259%1.2116.4
Inferno1947%1.0917.2
Overpass1450%1.1419.9
Vertigo1050%1.3517.9

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.

18.8%Headshot accuracy
41.5%Accuracy (enemy spotted)
45.9%Spray accuracy
91.6%Counter-strafing
9.6°Preaim
585msReaction time
42.0%T opening success
53.7%CT opening success
0.54Enemies flashed / flash
5.8%Flash assists
4.95HE damage / grenade
3.60Flashes / 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. Grenades & Utility

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

    Flashes per match 3.605 — below the 4 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.

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
mirage6–130.0019%28 Aug →
nuke9–40.2614%28 Aug →
inferno9–60.1728%28 Aug →
mirage13–5-0.0410%6 Aug →
cache13–100.0423%6 Aug →
dust214–160.0015%4 Aug →
shelter13–60.1721%26 Jul →
nuke5–13-0.0424%25 Jul →
inferno7–9-0.097%24 Jul →
anubis8–130.0621%24 Jul →
anubis13–60.1012%24 Jul →
office8–13-0.0115%24 Jul →
cache12–120.0428%16 Jul →
shelter13–60.0820%14 Jul →
boulder13–110.0924%14 Jul →
office5–10.2560%14 Jul →
vertigo13–60.0113%13 Jul →
anubis6–13-0.0610%11 Jul →
cache13–40.0313%11 Jul →
mirage13–30.1223%11 Jul →
cache13–50.0212%10 Jul →
office3–130.0224%10 Jul →
office13–60.0320%10 Jul →
ancient10–13-0.0212%1 Jul →
anubis13–80.0619%30 Jun →
train7–13-0.0120%30 Jun →
cache13–80.0325%30 Jun →
vertigo4–130.0130%30 Jun →
cache5–130.0021%29 Jun →
anubis16–130.0111%26 Jun →
overpass7–130.0121%24 Jun →
mirage13–9-0.0223%24 Jun →
ancient11–13-0.0110%24 Jun →
dust210–13-0.0220%24 Jun →
nuke9–130.0517%24 Jun →
inferno15–15-0.048%24 Jun →
ancient13–11-0.0415%24 Jun →
overpass13–11-0.0710%23 Jun →
cache13–4-0.0417%23 Jun →
anubis13–110.0317%23 Jun →
ancient13–4-0.0216%23 Jun →
dust216–14-0.0424%23 Jun →
nuke13–110.1113%22 Jun →
dust210–13-0.0018%22 Jun →
ancient11–130.0222%22 Jun →
dust213–70.0821%22 Jun →
anubis13–50.0221%22 Jun →
inferno3–130.0321%21 Jun →
ancient13–30.0718%21 Jun →
anubis15–15-0.0116%21 Jun →
nuke6–13-0.0711%21 Jun →
cache10–13-0.0320%21 Jun →
cache10–130.0121%20 Jun →
nuke11–13-0.069%20 Jun →
dust213–10-0.0122%20 Jun →
nuke13–50.1117%20 Jun →
train11–13-0.0612%20 Jun →
cache13–80.0016%20 Jun →
anubis13–10.0612%20 Jun →
ancient9–130.0016%19 Jun →
dust213–70.0321%19 Jun →
cache13–3-0.0116%18 Jun →
cache7–20.0217%18 Jun →
anubis8–13-0.048%18 Jun →
ancient8–130.0210%18 Jun →
nuke13–7-0.015%18 Jun →
overpass13–110.0118%18 Jun →
dust213–11-0.028%18 Jun →
vertigo9–13-0.059%18 Jun →
train13–80.0024%18 Jun →
dust213–110.0019%17 Jun →
mirage14–16-0.0612%16 Jun →
ancient6–130.0213%16 Jun →
dust213–110.0822%16 Jun →
overpass15–15-0.0415%16 Jun →
anubis13–110.0313%16 Jun →
nuke13–30.0513%15 Jun →
dust213–100.0320%15 Jun →
ancient13–6-0.0122%15 Jun →
cache13–6-0.0430%14 Jun →
nuke13–100.0521%14 Jun →
ancient13–10.0128%14 Jun →
dust213–60.0012%13 Jun →
mirage16–13-0.066%13 Jun →
vertigo13–10-0.0735%13 Jun →
ancient4–13-0.0115%13 Jun →
cache4–80.0125%13 Jun →
inferno6–130.0224%8 Jun →
ancient8–130.0735%8 Jun →
cache7–13-0.0414%7 Jun →
vertigo6–13-0.0220%7 Jun →
vertigo13–80.1924%4 Jun →
vertigo10–13-0.0114%4 Jun →
nuke9–130.0213%2 Jun →
ancient13–70.0511%2 Jun →
cache13–90.0329%2 Jun →
dust213–70.0121%31 May →
cache13–1-0.0410%31 May →
ancient10–13-0.0419%31 May →
nuke13–110.0916%31 May →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.