Ayoe

Ayoe — CS2 Stats

DK76561199032154154[U:1:1071888426]Steam profile ↗✓ No bans

1,445Tracked matches37%Win rate2020Tracked since
5,810Hours in CS12Hrs last 2 wks
CSDB Rating4.3 DevelopingClutch Specialist
Premier CS Rating6,249Light Blue band · top ~72.8% of ranked players (population est.)
FaceitLevel 2Top 97.9% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Oct 2026 (6 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: 6,249 -500 8 Sept – 23 Oct · 24 days played
5,6017,434peak 7,4348 Sept23 Oct
8,161Peak Premier in tracked matches
24Days played since 2026-09-08

Premier CS Rating

  • 1,185 below peak (7,434)
  • -533 over 30 days · declining
  • Next: Blue band at 10,000 — 3,751 to go
  • Reached: Light Blue band

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

How this compares with the same rank

Median values for Level 2 among CSDB-tracked players (n=6,128), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 2 medianLevel 3 medianvs Level 3
Headshot rate44.0%41.3%41.8%above
Shot accuracy15.0%12.7%12.2%above
Kill/death ratio0.590.950.980.39 short
Match win rate38.3%42.6%43.3%5.0% short

This profile matches the typical Level 3 player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 3 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGAyoeFACEITLevel 2STANDINGTop 97.9% of rankedPREMIER6,249 · Light Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim64
Positioning47
Utility41

0–100 skill scores via Leetify.

Recent form

STEADY36–61–3Last 10036%Win rateWWLLWLLLLW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · +2.3pp headshot accuracy · +97ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 14%
  • Avg reaction 719ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 702ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 653ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+5 against its own average).

Aim6.4
Utility4.1
Positioning4.7
Opening Duels1.2
Clutch10.0

Reliable in 1v1s

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 93% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 636ms 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

Aim6.4
Positioning4.7
Utility4.1
Mechanics6.9
Opening Duels2.0
Win Impact0.6

Composite 4.3/10 (Developing), 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+0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time640ms−9ms
first ⅓ avg 649ms → last ⅓ avg 640ms
Headshot accuracy12.8%−3.2%
first ⅓ avg 16.0% → last ⅓ avg 12.8%

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

0.05Best match rating · 13–3 · dust2, 23 Oct →
36%Best headshot accuracy · 7–13 · dust2, 17 Sept →
438msFastest reaction time · 0–13 · ancient, 9 Sept →
13–2Biggest win · dust2, 6 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W2Current streak
8–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

infernoBest map · 46% over 24cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoB2411–1346%-0.03
ancientD205–1525%-0.03
nukeB209–1145%-0.03
dust2D134–931%-0.03
mirageC94–544%-0.02
anubisD82–625%-0.05
cacheD61–517%-0.04

Across the last 100 tracked matches.

Lifetime stats

65,582Lifetime kills
0.59K/D
5,135Matches
38.3%Match win rate
44.0%Headshot % · Top 50% of Level 2 players
15.0%Shot accuracy · Top 50% of Level 2 players
5,714MVPs
2,393Hours (in match)
3,537Bombs planted
735Bombs defused

Most-used weapons

AUG14,370
AK-479,569
SG 5539,150
MP92,128
MAC-102,093
Tec-91,863

Lifetime map wins

11,652nuke
11,499inferno
4,743dust2
4,732vertigo
1,568train
80cbble
55lake
54office

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

Faceit stats

Combat

16Matches
25%Win rate
0.41Avg K/D
40.6ADR
34%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLWW

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.

12.8%Headshot accuracy
36.4%Accuracy (enemy spotted)
38.7%Spray accuracy
81.1%Counter-strafing
9.5°Preaim
636msReaction time
41.0%T opening success
34.9%CT opening success
0.50Enemies flashed / flash
1.7%Flash assists
8.29HE damage / grenade
7.27Flashes / 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 12.7576% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

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

    CT opening duels 34.9074% — below the 40% mark we flag

Spend your practice time on Cache

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust213–30.0511%23 Oct →
inferno13–90.0518%23 Oct →
dust20–13-0.079%22 Oct →
ancient7–130.0215%22 Oct →
mirage13–80.0315%22 Oct →
nuke4–13-0.0616%21 Oct →
ancient3–13-0.035%21 Oct →
mirage10–13-0.0218%21 Oct →
cache12–16-0.0313%19 Oct →
nuke13–10-0.0416%19 Oct →
mirage13–16-0.0313%19 Oct →
anubis2–13-0.0510%19 Oct →
nuke9–13-0.0914%19 Oct →
dust26–13-0.045%8 Oct →
nuke13–6-0.024%8 Oct →
nuke2–13-0.0422%8 Oct →
ancient8–13-0.085%7 Oct →
mirage13–9-0.0219%7 Oct →
dust23–13-0.099%6 Oct →
dust210–13-0.0213%6 Oct →
ancient11–13-0.0018%6 Oct →
inferno3–13-0.0617%6 Oct →
dust216–13-0.0613%6 Oct →
inferno13–6-0.048%6 Oct →
dust213–20.039%6 Oct →
inferno10–13-0.0322%6 Oct →
nuke16–14-0.019%6 Oct →
ancient9–13-0.0115%5 Oct →
inferno16–13-0.0612%5 Oct →
nuke10–130.045%5 Oct →
cache13–11-0.0218%5 Oct →
dust27–13-0.0610%5 Oct →
nuke13–11-0.0516%5 Oct →
mirage13–10-0.0117%2 Oct →
inferno15–15-0.0111%2 Oct →
inferno6–13-0.0415%1 Oct →
mirage6–13-0.0524%1 Oct →
dust26–13-0.0426%1 Oct →
nuke13–80.0124%1 Oct →
inferno9–13-0.0713%29 Sept →
dust27–13-0.0417%29 Sept →
nuke11–13-0.049%29 Sept →
inferno16–13-0.0011%24 Sept →
inferno13–6-0.0618%24 Sept →
anubis5–13-0.0314%24 Sept →
mirage4–13-0.0219%24 Sept →
ancient7–13-0.0817%24 Sept →
nuke2–13-0.0611%23 Sept →
inferno7–13-0.099%23 Sept →
inferno3–130.0019%23 Sept →
inferno11–13-0.0213%23 Sept →
inferno13–10-0.0814%23 Sept →
inferno13–70.0115%23 Sept →
mirage13–10-0.0416%23 Sept →
dust28–13-0.0430%23 Sept →
inferno8–8-0.1019%23 Sept →
inferno16–14-0.0220%22 Sept →
nuke7–13-0.0414%22 Sept →
inferno9–13-0.0815%22 Sept →
inferno2–13-0.0610%22 Sept →
anubis16–12-0.0328%22 Sept →
ancient13–11-0.0327%22 Sept →
anubis9–13-0.0711%22 Sept →
nuke11–13-0.0415%21 Sept →
inferno13–110.0316%21 Sept →
anubis7–13-0.0526%21 Sept →
ancient13–8-0.0113%21 Sept →
ancient5–13-0.0817%21 Sept →
inferno13–7-0.0117%21 Sept →
nuke13–11-0.0120%18 Sept →
ancient13–90.0111%18 Sept →
nuke13–9-0.0322%18 Sept →
nuke9–13-0.0115%18 Sept →
dust213–110.0213%17 Sept →
ancient8–13-0.039%17 Sept →
cache7–13-0.0424%17 Sept →
dust27–13-0.0436%17 Sept →
ancient2–13-0.089%17 Sept →
cache3–13-0.0611%17 Sept →
ancient13–10-0.083%17 Sept →
nuke13–40.0014%17 Sept →
ancient15–150.0419%15 Sept →
ancient10–13-0.0319%15 Sept →
anubis8–13-0.0310%14 Sept →
inferno13–40.016%14 Sept →
ancient3–13-0.074%12 Sept →
nuke8–13-0.0017%11 Sept →
inferno12–16-0.0519%11 Sept →
nuke11–13-0.0118%11 Sept →
nuke13–9-0.0314%10 Sept →
anubis13–30.018%10 Sept →
ancient13–7-0.0324%10 Sept →
cache5–13-0.053%9 Sept →
anubis3–13-0.1114%9 Sept →
ancient4–13-0.0322%9 Sept →
ancient7–13-0.0136%9 Sept →
ancient0–13-0.0621%9 Sept →
cache9–13-0.0518%8 Sept →
inferno1–13-0.0423%8 Sept →
mirage7–13-0.0514%8 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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