Yakio

Yakio — CS2 Stats

SM76561198358528363[U:1:398262635]Steam profile ↗✓ No bans

3,109Tracked matches57%Win rate2020Tracked since
CSDB Rating3.6 LearningSupport
FaceitLevel 8 · 1,486 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,486 → 1,486
+20Tracked matches · now 3,109
+6.7ppWin rate · 50.0% → 56.7%

Rating over time

Premier CS Rating: 23,589 +2,025 7 Nov – 8 Jan · 6 days played
21,42123,589peak 23,5897 Nov8 Jan
Faceit ELO: 1,486 +0 2 Sept – 20 Oct · 11 observations
1,4861,486peak 1,4862 Sept20 Oct
23,665Peak Premier in tracked matches
1,486Highest Faceit ELO seen on CSDB
56Days played since 2025-11-07

Faceit ELO

  • At peak — 1,486
  • 0 over 30 days · steady
  • Next: Level 8 at 1,531 — 45 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-02
  • Level 6 first seen 2026-09-02

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.

Share this profile

CSDB.GGYakioFACEITLevel 8 · 1,486 ELOSTANDINGTop 31.2% of ranked30 DAYS0 ELOPEAK ELO1,486csdb.gg/stats

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Performance scores

Aim42
Positioning39
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY57–43Last 10057%Win rateLLWWWWWLWL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · +2.1pp headshot accuracy · −5ms 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 -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 600ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 574ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 577ms

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 (+1.4 against its own average).

Aim4.2
Utility4.3
Positioning3.9
Opening Duels0.0
Clutch3.4

Limited 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

iM

Plays most like iM 78% 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

Reaction time. 577ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim4.2
Positioning3.9
Utility4.3
Mechanics3.7
Opening Duels0.0
Win Impact7.2

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time576ms−72ms
first ⅓ avg 648ms → last ⅓ avg 576ms
Headshot accuracy11.6%−1.5%
first ⅓ avg 13.2% → last ⅓ avg 11.6%

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

0.12Best match rating · 13–7 · mirage, 22 Aug →
26%Best headshot accuracy · 7–13 · dust2, 20 Dec →
406msFastest reaction time · 13–8 · vertigo, 20 Dec →
13–1Biggest win · nuke, 31 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
15–7In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 73% over 11dust2Weakest map · 50% over 16
MapGradePlayedRecordWin rateAvg rating
ancientA2113–862%-0.02
infernoS2013–765%-0.01
dust2B168–850%-0.03
mirageB126–650%-0.02
nukeS118–373%-0.03
vertigoS64–267%-0.05
trainS64–267%-0.03
cache—30–30%-0.08
anubis—20–20%-0.02
poseidon—10–10%-0.10
sanctum—10–10%-0.17
overpass—11–0100%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (50% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,655Matches
51%Win rate
0.87Avg K/D
58.7ADR
34%Headshot %

Clutches & streaks

37%1v1 clutch win
13%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno20351%0.7711.0
Vertigo15669%0.8110.8
Nuke14652%0.7410.7
Ancient12145%0.8110.9
Mirage11945%0.8111.4
Dust211346%0.7911.8
Anubis3336%0.7911.3
Train1753%0.6911.5

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.

11.3%Headshot accuracy
30.3%Accuracy (enemy spotted)
31.8%Spray accuracy
66.5%Counter-strafing
9.4°Preaim
577msReaction time
29.9%T opening success
17.3%CT opening success
0.45Enemies flashed / flash
0.9%Flash assists
12.99HE 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 11.2997% — below the 15% mark we flag

    Aim Training →
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4511 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 29.9073% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
mirage16–19-0.007%7 Nov →
vertigo4–13-0.0614%7 Nov →
nuke13–8-0.064%7 Nov →
inferno13–70.0010%6 Nov →
nuke13–11-0.0010%6 Nov →
inferno13–60.0221%5 Nov →
inferno5–00.0722%4 Nov →
cache4–13-0.0714%10 Oct →
inferno16–14-0.0616%10 Oct →
dust213–16-0.088%9 Oct →
ancient13–4-0.014%9 Oct →
ancient13–9-0.0313%9 Oct →
dust26–13-0.0413%9 Oct →
vertigo13–90.0113%8 Oct →
inferno9–13-0.0614%7 Oct →
vertigo13–7-0.067%6 Oct →
inferno16–130.0116%12 Sept →
ancient13–11-0.048%12 Sept →
inferno11–13-0.106%11 Sept →
inferno13–30.0510%10 Sept →
cache4–13-0.0611%10 Sept →
ancient4–13-0.113%9 Sept →
dust213–6-0.0218%7 Sept →
dust219–17-0.0716%7 Sept →
mirage4–13-0.0210%7 Sept →
anubis8–13-0.0411%5 Sept →
dust213–8-0.0411%25 Aug →
ancient13–80.056%24 Aug →
inferno9–13-0.047%23 Aug →
inferno11–13-0.0121%22 Aug →
mirage13–70.1212%22 Aug →
nuke5–13-0.1118%21 Aug →
vertigo5–13-0.0611%21 Aug →
mirage4–13-0.0620%21 Aug →
ancient1–13-0.125%19 Aug →
inferno13–90.019%13 Aug →
ancient13–110.0516%13 Aug →
anubis23–25-0.0012%11 Aug →
dust24–13-0.0620%7 Aug →
cache3–13-0.100%4 Aug →
mirage11–13-0.0210%2 Aug →
dust210–13-0.0117%2 Aug →
nuke13–1-0.016%31 Jul →
ancient9–13-0.0512%30 Jul →
ancient10–13-0.0613%29 Jun →
inferno9–10.030%6 Jun →
poseidon5–9-0.1025%6 Jun →
sanctum6–9-0.178%6 Jun →
inferno16–14-0.0519%5 Jun →
mirage13–11-0.085%3 Jun →
dust24–13-0.0915%2 Jun →
dust213–11-0.0724%1 Jun →
nuke13–11-0.0222%1 Jun →
nuke9–13-0.0514%1 Jun →
ancient13–80.0014%1 Jun →
dust213–100.046%1 Jun →
nuke4–13-0.064%1 Jun →
inferno16–14-0.037%31 May →
ancient9–13-0.0712%31 May →
mirage8–13-0.120%19 Jan →
inferno13–8-0.0115%10 Jan →
train13–100.0014%10 Jan →
dust216–120.0213%8 Jan →
dust211–13-0.079%8 Jan →
dust213–8-0.0010%8 Jan →
train22–20-0.0418%7 Jan →
ancient13–11-0.0814%7 Jan →
inferno9–13-0.0212%7 Jan →
inferno13–6-0.0513%5 Jan →
nuke13–6-0.0218%5 Jan →
train6–13-0.1121%4 Jan →
nuke13–6-0.030%4 Jan →
ancient10–13-0.0521%3 Jan →
inferno10–13-0.0212%3 Jan →
ancient13–5-0.0312%2 Jan →
ancient13–50.0416%2 Jan →
mirage13–50.029%1 Jan →
ancient16–14-0.0215%31 Dec →
train8–13-0.0215%29 Dec →
dust213–160.0011%27 Dec →
ancient8–130.0123%27 Dec →
nuke13–50.099%27 Dec →
mirage13–10-0.0517%26 Dec →
mirage13–60.0213%26 Dec →
ancient17–19-0.0610%25 Dec →
mirage8–13-0.0310%24 Dec →
train13–110.0015%23 Dec →
vertigo13–10-0.0717%21 Dec →
vertigo13–8-0.0219%20 Dec →
dust27–13-0.0426%20 Dec →
train13–3-0.028%20 Dec →
dust213–10-0.0210%9 Nov →
mirage16–14-0.0217%9 Nov →
overpass13–8-0.014%9 Nov →
nuke13–4-0.0412%9 Nov →
inferno11–13-0.0215%8 Nov →
ancient13–20.0310%8 Nov →
ancient13–90.0915%8 Nov →
ancient13–9-0.036%7 Nov →
inferno13–80.014%7 Nov →

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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