Yoink

Yoink — CS2 Stats

DE76561198364896644[U:1:404630916]Steam profile ↗✓ No bans

2,668Tracked matches43%Win rate2023Tracked since
CSDB Rating5.4 DevelopingSupport
Premier CS Rating17,543Purple band · top ~18.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+279Premier CS Rating · 17,264 → 17,543

Rating over time

Premier CS Rating: 17,543 -1,247 10 Sept – 30 Oct · 24 days played
16,88419,999peak 19,99910 Sept30 Oct
19,999Peak Premier in tracked matches
24Days played since 2026-09-10

Premier CS Rating

  • 2,456 below peak (19,999)
  • -2,352 over 30 days · declining
  • Next: Pink band at 20,000 — 2,457 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGYoinkPREMIER17,543 · Purple bandcsdb.gg/stats

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Performance scores

Aim62
Positioning47
Utility59

0–100 skill scores via Leetify.

Recent form

STEADY46–51–3Last 10046%Win rateWLWWLLWLLW

Last 10 vs previous 10: +10pp win rate · +0.04 avg rating · +1.8pp headshot accuracy · −118ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 611ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 601ms

Last 20

  • 9–11 · 45% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 16%
  • Avg reaction 660ms

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 (+1.3 against its own average).

Aim6.2
Utility5.9
Positioning4.7
Opening Duels3.2

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

ZywOo

Plays most like ZywOo 86% playstyle similarity

Most alike: utility contribution, 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

T-side openings. Opening success drops from 49% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 650ms 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

Aim6.2
Positioning4.7
Utility5.9
Mechanics7.4
Opening Duels2.8
Win Impact2.8

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 rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time650ms+5ms
first ⅓ avg 645ms → last ⅓ avg 650ms
Headshot accuracy16.9%−0.9%
first ⅓ avg 17.8% → last ⅓ avg 16.9%

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

0.15Best match rating · 8–2 · ancient, 30 Sept →
39%Best headshot accuracy · 5–13 · dust2, 19 Sept →
359msFastest reaction time · 13–9 · nuke, 30 Sept →
13–1Biggest win · ancient, 30 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
2–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 82% over 11mirageWeakest map · 30% over 20
MapGradePlayedRecordWin rateAvg rating
mirageD206–1430%-0.00
cacheD206–1430%-0.02
anubisB158–753%-0.01
nukeC146–843%-0.03
dust2B126–650%-0.02
ancientS119–282%0.04
infernoA85–363%0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (30% over 20). Start with the 5 essential Mirage 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.

17.4%Headshot accuracy
33.4%Accuracy (enemy spotted)
29.9%Spray accuracy
83.4%Counter-strafing
8.7°Preaim
650msReaction time
33.2%T opening success
49.1%CT opening success
0.57Enemies flashed / flash
13.7%Flash assists
8.95HE damage / grenade
5.28Flashes / 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 33.2192% — 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.

30% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–10.039%30 Oct →
mirage10–13-0.0012%29 Oct →
nuke13–6-0.0316%29 Oct →
ancient13–70.1224%29 Oct →
mirage5–13-0.0610%29 Oct →
anubis8–13-0.0617%29 Oct →
nuke13–5-0.0020%25 Oct →
inferno11–13-0.0229%14 Oct →
mirage2–70.0314%11 Oct →
inferno13–80.1323%11 Oct →
cache13–7-0.0215%11 Oct →
dust22–13-0.0615%8 Oct →
inferno10–13-0.0917%8 Oct →
dust213–80.0617%8 Oct →
anubis10–130.0120%8 Oct →
mirage13–10.1010%8 Oct →
nuke7–13-0.0220%8 Oct →
nuke2–13-0.107%8 Oct →
dust213–10-0.0317%8 Oct →
mirage5–13-0.0916%8 Oct →
ancient8–10.017%8 Oct →
mirage4–13-0.0633%7 Oct →
anubis8–13-0.0217%7 Oct →
dust26–13-0.0324%7 Oct →
cache13–30.0126%7 Oct →
anubis13–160.0222%6 Oct →
cache13–100.0213%6 Oct →
nuke13–100.0512%6 Oct →
nuke11–13-0.0517%6 Oct →
anubis11–13-0.049%5 Oct →
cache6–13-0.0113%5 Oct →
dust213–6-0.0321%5 Oct →
nuke5–13-0.0513%3 Oct →
anubis16–12-0.016%3 Oct →
cache7–13-0.0712%3 Oct →
mirage13–90.0922%3 Oct →
dust216–120.0113%3 Oct →
ancient3–13-0.0515%2 Oct →
nuke5–13-0.0616%2 Oct →
inferno6–13-0.0424%2 Oct →
cache10–13-0.0113%2 Oct →
anubis13–9-0.0320%2 Oct →
nuke14–160.0110%2 Oct →
mirage15–15-0.079%2 Oct →
dust27–13-0.0819%1 Oct →
cache4–13-0.109%1 Oct →
inferno13–100.0012%1 Oct →
mirage4–13-0.028%1 Oct →
cache4–130.0121%1 Oct →
dust213–160.0318%30 Sept →
anubis13–80.0213%30 Sept →
nuke13–9-0.1220%30 Sept →
mirage13–70.0719%30 Sept →
ancient8–20.159%30 Sept →
ancient16–14-0.0215%30 Sept →
cache6–13-0.069%30 Sept →
nuke13–7-0.0122%30 Sept →
mirage9–130.0116%28 Sept →
cache5–13-0.0615%28 Sept →
dust213–110.0018%27 Sept →
ancient5–130.0214%27 Sept →
cache13–9-0.0138%27 Sept →
mirage15–15-0.0418%27 Sept →
anubis13–80.0418%27 Sept →
cache13–80.0334%27 Sept →
dust29–13-0.0121%26 Sept →
inferno13–60.039%26 Sept →
mirage7–13-0.0014%26 Sept →
mirage8–13-0.0313%26 Sept →
cache8–13-0.069%26 Sept →
cache10–13-0.0020%26 Sept →
dust213–10-0.0115%26 Sept →
mirage9–130.0020%22 Sept →
anubis13–70.0018%22 Sept →
nuke10–13-0.0127%22 Sept →
cache5–130.0211%22 Sept →
mirage13–50.0513%21 Sept →
mirage3–13-0.0123%21 Sept →
cache13–10-0.0511%21 Sept →
cache8–13-0.0222%21 Sept →
anubis13–70.0210%21 Sept →
cache10–130.0128%20 Sept →
ancient13–30.1424%20 Sept →
nuke11–13-0.1012%20 Sept →
cache8–13-0.0313%20 Sept →
mirage13–20.0314%20 Sept →
dust25–13-0.0839%19 Sept →
mirage12–160.0117%19 Sept →
anubis13–6-0.044%18 Sept →
anubis15–15-0.0723%18 Sept →
ancient13–60.036%17 Sept →
anubis13–90.0031%15 Sept →
inferno13–5-0.0219%15 Sept →
mirage13–6-0.0018%15 Sept →
cache10–13-0.0033%10 Sept →
anubis13–16-0.0415%10 Sept →
nuke13–50.0630%10 Sept →
ancient13–60.0114%10 Sept →
inferno13–40.0116%10 Sept →
ancient13–50.018%10 Sept →

Match data via Leetify.

Recent teammates

Milestones

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

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