Yatogorotebal

Yatogorotebal — CS2 Stats

JP76561198156866535[U:1:196600807]Steam profile ↗✓ No bans

2,019Tracked matches43%Win rate2020Tracked since
20,388Hours in CS
CSDB Rating7.1 StrongSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 3,592 → 3,592
+27Tracked matches · now 2,019
−3.3ppWin rate · 46.7% → 43.3%

Rating over time

Faceit ELO: 3,592 +0 28 Aug – 19 Sept · 7 observations
3,5923,592peak 3,59228 Aug19 Sept
3,592Highest Faceit ELO seen on CSDB
35Days played since 2026-05-09

Faceit ELO

  • At peak — 3,592
  • Next: 4,000 ELO at 4,000 — 408 to go
  • Reached: 3,500 ELO · 3,000 ELO · 2,500 ELO · Level 10
  • 3,500 ELO first seen 2026-08-28
  • 3,000 ELO first seen 2026-08-28

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. 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

MetricLast 30Previous 30Change
Matches105——
Win rate52%——
K/D0.77——
Headshot %69%——

Measured 8 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.GGYatogorotebalPEAK ELO3,592csdb.gg/stats

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Performance scores

Aim87
Positioning56
Utility84

0–100 skill scores via Leetify.

Recent form

STEADY47–53Last 10047%Win rateLLWWLWWWLL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · +3.6pp headshot accuracy · +62ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 22%
  • Avg reaction 586ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 529ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 498ms

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: Support — Utility contribution stands above the rest of this profile (+3.5 against its own average).

Aim8.7
Utility8.4
Positioning5.6
Opening Duels1.8
Clutch3.8

Sharp aimerHigh utility contribution

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

Twistzz

Plays most like Twistzz 81% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Utility. Utility score of 84 — grenade impact well above the norm.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.4° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 32 points — deaths here waste a strong aim profile.

CT openings. Opening success drops from 52% on T to 34% 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

Aim8.7
Positioning5.6
Utility8.4
Mechanics7.5
Opening Duels3.3
Win Impact2.8

Composite 7.1/10 (Strong), 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+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time466ms−53ms
first ⅓ avg 520ms → last ⅓ avg 466ms
Headshot accuracy23.5%−0.4%
first ⅓ avg 23.9% → last ⅓ avg 23.5%

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

0.22Best match rating · 11–1 · anubis, 4 Oct →
48%Best headshot accuracy · 11–13 · nuke, 9 Jun →
313msFastest reaction time · 13–3 · mirage, 14 Sept →
13–1Biggest win · ancient, 14 Jun →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
4–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 62% over 26infernoWeakest map · 12% over 17
MapGradePlayedRecordWin rateAvg rating
nukeA2616–1062%-0.00
dust2B2211–1150%-0.00
infernoD172–1512%-0.02
ancientB158–753%-0.01
mirageB126–650%-0.01
anubisA53–260%0.06
cache—21–150%-0.00
overpass—10–10%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (12% over 17). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

443,274Lifetime kills
0.79K/D
12,265Matches
51.3%Match win rate · Top 25% of tracked players
68.0%Headshot % · Top 1% of tracked players
16.4%Shot accuracy · Top 25% of tracked players
37,332MVPs
20,388Hours (in match)
14,130Bombs planted
4,464Bombs defused

Most-used weapons

AK-47184,652
AWP24,499
P25014,098
SG 55312,256
Knife6,176
MP95,319

Lifetime map wins

27,365dust2
16,261nuke
15,595inferno
9,135train
3,785vertigo
991cbble
121office
100italy

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

Faceit stats

Combat

7,378Matches
56%Win rate
1.32Avg K/D
86.0ADR
55%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
15Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage92256%1.2817.6
Dust245557%1.2217.0
Ancient37857%1.2816.9
Nuke29763%1.3516.9
Anubis24153%1.2916.6
Train3352%1.2316.8
Inferno2264%1.2315.4
Overpass2152%1.2117.7

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.

21.8%Headshot accuracy
35.8%Accuracy (enemy spotted)
41.8%Spray accuracy
83.8%Counter-strafing
10.4°Preaim
460msReaction time
52.3%T opening success
34.3%CT opening success
0.68Enemies flashed / flash
12.1%Flash assists
10.42HE damage / grenade
22.16Flashes / 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

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 34.3185% — 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.

12% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.057%6 Oct →
inferno10–130.0321%6 Oct →
dust213–9-0.0315%6 Oct →
anubis13–60.1026%4 Oct →
dust20–6-0.0440%4 Oct →
inferno13–110.0522%4 Oct →
dust213–7-0.0225%4 Oct →
anubis11–10.2240%4 Oct →
dust22–130.0530%4 Oct →
mirage2–13-0.0324%2 Oct →
inferno11–130.0019%2 Oct →
mirage13–8-0.0221%1 Oct →
nuke5–13-0.0819%1 Oct →
nuke13–20.0524%29 Sept →
dust213–60.0328%29 Sept →
nuke11–13-0.0215%26 Sept →
inferno7–13-0.0419%26 Sept →
mirage13–50.0432%26 Sept →
nuke13–90.0121%25 Sept →
cache10–130.0117%25 Sept →
dust213–60.0219%25 Sept →
inferno11–13-0.0416%14 Sept →
ancient8–130.0217%14 Sept →
nuke9–130.0524%14 Sept →
inferno9–130.0126%14 Sept →
nuke13–3-0.0121%14 Sept →
mirage13–30.0338%14 Sept →
nuke3–13-0.0123%6 Sept →
ancient4–13-0.0817%31 Aug →
inferno6–13-0.0521%31 Aug →
cache13–10-0.0235%27 Aug →
ancient13–70.0323%27 Aug →
ancient2–13-0.0231%25 Aug →
dust211–13-0.0226%25 Aug →
inferno6–13-0.0822%24 Aug →
ancient9–13-0.0516%24 Aug →
nuke13–7-0.0325%22 Aug →
dust210–130.0231%22 Aug →
inferno13–90.0125%22 Aug →
nuke13–60.0219%12 Aug →
mirage13–3-0.025%8 Aug →
dust210–130.0324%8 Aug →
ancient8–13-0.0933%8 Aug →
ancient13–50.0340%8 Aug →
nuke13–60.1139%8 Aug →
inferno10–130.0428%8 Aug →
mirage9–13-0.0315%7 Aug →
nuke13–100.0423%7 Aug →
ancient13–100.0224%7 Aug →
ancient13–9-0.0233%5 Aug →
dust213–90.0335%5 Aug →
inferno3–13-0.0219%19 Jun →
nuke5–13-0.0416%19 Jun →
dust211–13-0.0541%18 Jun →
mirage8–13-0.0423%18 Jun →
nuke13–60.0331%18 Jun →
dust213–7-0.029%14 Jun →
ancient13–10.0726%14 Jun →
anubis6–13-0.0424%14 Jun →
nuke13–7-0.0124%13 Jun →
dust213–40.1127%13 Jun →
nuke10–130.0224%13 Jun →
ancient8–13-0.0522%13 Jun →
overpass9–13-0.0121%11 Jun →
mirage7–13-0.0418%11 Jun →
nuke13–5-0.0523%11 Jun →
nuke11–130.0048%9 Jun →
dust213–16-0.0421%9 Jun →
dust213–60.0529%9 Jun →
ancient16–13-0.0032%9 Jun →
dust28–13-0.0225%5 Jun →
nuke9–130.0118%5 Jun →
nuke13–16-0.0410%27 May →
mirage5–13-0.0514%27 May →
ancient13–20.0132%25 May →
dust211–13-0.0315%25 May →
mirage13–20.1527%23 May →
nuke13–10-0.0336%23 May →
ancient13–110.0440%23 May →
nuke13–7-0.0117%22 May →
nuke13–70.0122%22 May →
anubis13–30.0438%22 May →
inferno7–13-0.0215%22 May →
dust25–13-0.0831%22 May →
dust213–10-0.0122%19 May →
ancient8–13-0.049%19 May →
nuke13–11-0.0430%19 May →
inferno2–13-0.0919%19 May →
inferno5–130.0227%16 May →
mirage13–11-0.0220%16 May →
dust213–9-0.0224%16 May →
nuke6–13-0.0127%15 May →
inferno7–13-0.0114%15 May →
dust25–13-0.0323%12 May →
nuke13–100.0023%12 May →
inferno6–13-0.0638%12 May →
dust28–10.0722%10 May →
inferno3–13-0.0612%10 May →
nuke13–7-0.0420%10 May →
anubis3–13-0.0439%9 May →

Match data via Leetify.

Recent teammates

Milestones

3K ELO Club1,000 Matches
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.