yerkoff

yerkoff — CS2 Stats

CC76561198242029338[U:1:281763610]Steam profile ↗✓ No bans

396Tracked matches61%Win rate2024Tracked since
CSDB Rating7.3 StrongAll-Rounder
Premier CS Rating21,305Top 50% of 202,706 CSDB-tracked playersPink band · top ~7.1% of ranked players (population est.)
CSDB Leaderboard#63119 of 249879 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (12 days ago). 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: 21,305 +8,796 26 Feb – 23 Sept · 40 days played
12,50921,305peak 21,30526 Feb23 Sept
21,305Peak Premier in tracked matches
48Days played since 2026-02-26

Premier CS Rating

  • At peak — 21,305
  • +2,705 over 90 days
  • Next: Red band at 25,000 — 3,695 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-15
  • Purple band first seen 2026-09-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGyerkoffPREMIER21,305 · Pink bandcsdb.gg/stats

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Performance scores

Aim82
Positioning63
Utility70

0–100 skill scores via Leetify.

Recent form

STEADY63–34–3Last 10063%Win rateWWWLWWLTLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · −1.5pp headshot accuracy · +34ms reaction

Win rate −10pp 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 0.02
  • Avg headshot accuracy 20%
  • Avg reaction 681ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 25%
  • Avg reaction 608ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 591ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.2
Utility7.0
Positioning6.3
Opening Duels5.4

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

device

Plays most like device 88% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: 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

Preaim. Mechanical aim is strong but the crosshair sits 10.0° off target when enemies appear — placement, not flicking, is the bigger win available.

Reaction time. 609ms 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

Aim8.2
Positioning6.3
Utility7.0
Mechanics6.6
Opening Duels5.7
Win Impact8.6

Composite 7.3/10 (Strong), 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 time606ms−49ms
first ⅓ avg 655ms → last ⅓ avg 606ms
Headshot accuracy25.0%+0.5%
first ⅓ avg 24.5% → last ⅓ avg 25.0%

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

0.28Best match rating · 7–0 · inferno, 10 Aug →
43%Best headshot accuracy · 10–13 · ancient, 5 Apr →
305msFastest reaction time · 6–2 · dust2, 22 Sept →
13–1Biggest win · dust2, 2 Mar →

Across the last 100 tracked matches.

Highlights

9Longest win streak
W3Current streak
4–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 92% over 13ancientWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A2716–1159%0.02
mirageA2011–955%0.03
infernoS1312–192%0.03
nukeB126–650%0.01
anubisS119–282%0.08
ancientC104–640%0.04
cache—43–175%0.01
overpass—32–167%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.6%Headshot accuracy
38.4%Accuracy (enemy spotted)
39.6%Spray accuracy
79.6%Counter-strafing
10.0°Preaim
609msReaction time
48.9%T opening success
57.1%CT opening success
0.70Enemies flashed / flash
10.4%Flash assists
7.62HE damage / grenade
15.95Flashes / match

Recommended for you

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–100.0325%23 Sept →
anubis13–60.0417%23 Sept →
dust213–30.0219%23 Sept →
dust27–13-0.0511%22 Sept →
mirage16–130.0330%22 Sept →
dust26–2-0.0227%22 Sept →
dust211–130.0237%21 Sept →
ancient15–150.0632%11 Sept →
nuke11–130.0624%11 Sept →
dust213–60.0330%11 Sept →
nuke5–13-0.0326%10 Sept →
mirage6–13-0.0126%10 Sept →
cache13–7-0.0223%7 Sept →
mirage13–70.0233%6 Sept →
dust29–13-0.0333%6 Sept →
inferno13–80.0325%3 Sept →
cache13–20.0830%1 Sept →
anubis13–80.0534%1 Sept →
inferno13–60.1218%22 Aug →
dust216–130.0720%22 Aug →
mirage13–100.0313%13 Aug →
mirage9–130.0530%13 Aug →
nuke13–6-0.0526%10 Aug →
inferno7–00.2843%10 Aug →
dust29–130.0314%6 Aug →
nuke8–13-0.0123%6 Aug →
anubis13–70.1028%29 Jul →
cache15–150.0433%27 Jul →
dust27–130.0128%27 Jul →
dust28–130.0314%21 Jul →
cache13–9-0.0614%16 Jul →
inferno13–60.0317%16 Jul →
anubis13–90.0820%27 Jun →
mirage1–5-0.070%24 Jun →
nuke7–13-0.0718%21 Jun →
ancient15–150.0721%17 Jun →
ancient13–60.0013%16 Jun →
dust213–90.0422%15 Jun →
mirage10–130.0328%10 Jun →
overpass14–160.0815%4 Jun →
anubis13–70.0314%4 Jun →
inferno13–8-0.0211%3 Jun →
inferno13–4-0.0023%3 Jun →
nuke13–110.0915%2 Jun →
dust25–0-0.0219%2 Jun →
anubis9–130.0818%31 May →
nuke13–9-0.0314%31 May →
dust213–70.0519%31 May →
mirage16–120.0522%31 May →
dust213–7-0.0521%31 May →
inferno13–60.0424%29 May →
mirage13–30.0124%29 May →
inferno9–50.0241%25 May →
overpass16–130.0532%25 May →
mirage7–13-0.029%24 May →
nuke10–130.0325%24 May →
overpass13–90.0826%10 May →
dust213–100.0224%10 May →
dust213–90.0635%10 May →
dust213–100.0325%10 May →
dust213–50.0136%9 May →
inferno16–12-0.0030%1 May →
mirage13–11-0.0224%1 May →
ancient10–130.0536%19 Apr →
inferno4–9-0.2317%14 Apr →
dust27–130.0642%14 Apr →
mirage7–13-0.0217%13 Apr →
ancient8–130.0125%6 Apr →
ancient10–130.0343%5 Apr →
dust213–50.0234%5 Apr →
dust213–11-0.0413%5 Apr →
mirage11–130.0226%5 Apr →
dust28–130.0333%27 Mar →
mirage10–130.1727%27 Mar →
dust22–13-0.0121%27 Mar →
dust211–130.0926%25 Mar →
mirage3–90.0619%22 Mar →
mirage13–40.1430%22 Mar →
dust213–30.0321%22 Mar →
anubis13–100.0727%22 Mar →
nuke13–9-0.0215%22 Mar →
mirage13–70.0923%21 Mar →
anubis13–60.1411%21 Mar →
nuke13–110.0227%21 Mar →
ancient16–130.0611%20 Mar →
mirage13–80.0517%20 Mar →
nuke10–130.0427%19 Mar →
anubis13–80.0635%19 Mar →
dust29–130.0429%19 Mar →
mirage13–10-0.0233%2 Mar →
ancient16–12-0.0120%2 Mar →
ancient13–90.0526%2 Mar →
dust213–10.1019%2 Mar →
inferno13–100.0527%2 Mar →
anubis13–40.1222%1 Mar →
anubis11–130.0421%1 Mar →
nuke13–60.0721%1 Mar →
ancient4–130.0416%1 Mar →
mirage13–90.0842%26 Feb →
inferno13–80.0820%26 Feb →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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