Shaye

Shaye — CS2 Stats

US76561198286344889[U:1:326079161]Steam profile ↗✓ No bans

1,037Tracked matches65%Win rate2020Tracked since
CSDB Rating7.8 StrongPositional Player
Premier CS Rating22,730Top 25% of 205,416 CSDB-tracked playersPink band · top ~5.5% of ranked players (population est.)
CSDB Leaderboard#45159 of 252623 tracked
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 22,730 → 22,730
0Faceit ELO · 2,063 → 2,063
+5Tracked matches · now 1,037
+3.8ppWin rate · 61.5% → 65.4%

Rating over time

Premier CS Rating: 22,730 -1,941 28 Jan – 1 Sept · 15 days played
22,66226,031peak 26,03128 Jan1 Sept
26,031Peak Premier in tracked matches
2,063Highest Faceit ELO seen on CSDB
28Days played since 2026-01-28

Faceit ELO

  • At peak — 2,063
  • Next: 2,500 ELO at 2,500 — 437 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-01
  • Level 9 first seen 2026-09-01

Premier CS Rating

  • 3,301 below peak (26,031)
  • 0 over 90 days
  • Next: Red band at 25,000 — 2,270 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-01
  • Purple band first seen 2026-09-01

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.GGShayePREMIER22,730 · Pink bandPEAK ELO2,063csdb.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

Aim81
Positioning75
Utility64

0–100 skill scores via Leetify.

Recent form

HOT51–38–11Last 10051%Win rateWLTWWWWWWL

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +1.0pp headshot accuracy · +7ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 519ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 509ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 505ms

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: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim8.1
Utility6.4
Positioning7.5
Opening Duels7.5
Clutch2.2

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

s1mple

Plays most like s1mple 84% playstyle similarity

Most alike: opening-duel success, utility contribution.

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

Strengths

CT openings. 62% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 61% T opening-duel success — entries that actually open the round.

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

Aim8.1
Positioning7.5
Utility6.4
Mechanics6.6
Opening Duels8.0
Win Impact10.0

Composite 7.8/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time522ms−22ms
first ⅓ avg 544ms → last ⅓ avg 522ms
Headshot accuracy21.8%+3.8%
first ⅓ avg 18.0% → last ⅓ avg 21.8%

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

0.20Best match rating · 9–4 · inferno, 16 Mar →
51%Best headshot accuracy · 7–13 · vertigo, 16 Mar →
383msFastest reaction time · 9–2 · inferno, 16 Mar →
13–2Biggest win · anubis, 8 Jun →

Across the last 100 tracked matches.

Highlights

9Longest win streak
3–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

mirageBest map · 67% over 15overpassWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2A1810–856%0.03
mirageS1510–567%0.03
ancientA159–660%-0.00
anubisB136–746%0.03
infernoB126–650%0.07
nukeC83–538%-0.00
cacheA74–357%0.04
overpassD61–517%-0.03
train—31–233%0.03
vertigo—31–233%-0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

223Matches
60%Win rate
1.44Avg K/D
91.9ADR
42%Headshot %

Clutches & streaks

31%1v1 clutch win
24%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Ancient2255%1.5018.7
Anubis2167%1.3316.8
Mirage1889%1.5219.1
Inferno1533%1.3217.0
Dust21479%1.3716.6
Nuke1145%1.3117.6
Overpass2100%1.5018.5
Train10%1.4722.0

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.

21.0%Headshot accuracy
34.9%Accuracy (enemy spotted)
36.6%Spray accuracy
79.6%Counter-strafing
8.8°Preaim
520msReaction time
61.4%T opening success
62.4%CT opening success
0.61Enemies flashed / flash
3.1%Flash assists
8.06HE damage / grenade
7.68Flashes / match

Recommended for you

Spend your practice time on Overpass

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.

Overpass callouts & strategy →Overpass grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–40.0324%17 Oct →
mirage11–13-0.0518%16 Oct →
mirage12–12-0.0224%16 Oct →
dust213–70.0918%28 Sept →
ancient13–10-0.0515%28 Sept →
anubis13–100.0024%10 Jul →
cache13–90.1123%10 Jul →
ancient13–7-0.0914%8 Jun →
anubis13–20.0532%8 Jun →
mirage8–13-0.0119%8 Jun →
dust213–90.1220%8 Jun →
mirage13–30.0417%8 Jun →
cache13–70.0323%8 Jun →
mirage13–80.0516%24 May →
anubis6–13-0.0715%24 May →
cache10–130.0321%11 May →
dust215–150.1132%11 May →
dust29–13-0.0416%10 May →
cache11–13-0.0216%10 May →
inferno9–6-0.0028%10 May →
ancient13–5-0.0513%10 May →
anubis13–80.0529%10 May →
cache13–100.0320%10 May →
ancient15–15-0.0217%10 May →
cache12–120.0119%9 May →
train1–13-0.0130%9 May →
cache5–10.0733%5 May →
nuke10–13-0.0614%27 Apr →
inferno13–5-0.0225%27 Apr →
mirage6–130.0023%27 Apr →
nuke13–80.0733%26 Apr →
vertigo7–13-0.0834%19 Mar →
dust215–15-0.0714%16 Mar →
vertigo13–20.0319%16 Mar →
overpass8–8-0.0512%16 Mar →
inferno9–40.2024%16 Mar →
inferno9–20.1615%16 Mar →
train10–130.0213%16 Mar →
mirage13–110.0331%16 Mar →
overpass11–13-0.0225%16 Mar →
train13–20.0930%16 Mar →
vertigo7–130.0251%16 Mar →
inferno3–130.049%15 Mar →
anubis10–130.0214%15 Mar →
nuke13–40.0432%15 Mar →
mirage13–7-0.0019%15 Mar →
ancient13–60.0829%15 Mar →
dust212–120.0927%15 Mar →
inferno13–90.0724%15 Mar →
inferno6–13-0.0219%15 Mar →
dust24–130.0433%15 Mar →
dust213–80.0521%14 Mar →
dust26–130.1321%14 Mar →
nuke10–130.0121%14 Mar →
inferno8–80.1920%11 Mar →
overpass7–13-0.059%11 Mar →
inferno13–160.0323%6 Mar →
anubis8–130.0530%6 Mar →
nuke14–16-0.0522%6 Mar →
inferno15–150.0224%6 Mar →
inferno13–80.0930%6 Mar →
anubis10–130.0120%6 Mar →
dust210–13-0.0315%2 Mar →
mirage11–130.0024%2 Mar →
dust213–40.0431%1 Mar →
mirage13–100.0925%1 Mar →
ancient6–130.0225%1 Mar →
dust213–100.0221%1 Mar →
inferno9–130.0622%1 Mar →
anubis9–130.0017%1 Mar →
anubis13–20.128%1 Mar →
dust210–130.0311%28 Feb →
ancient13–10-0.0519%28 Feb →
ancient12–50.0216%28 Feb →
anubis16–140.0225%28 Feb →
ancient13–80.0821%28 Feb →
mirage13–80.0217%26 Feb →
mirage13–30.1018%25 Feb →
dust213–9-0.0217%25 Feb →
dust213–9-0.0218%25 Feb →
ancient13–40.0622%21 Feb →
nuke7–13-0.0514%16 Feb →
ancient10–13-0.0220%16 Feb →
anubis10–130.0520%16 Feb →
ancient13–4-0.0616%14 Feb →
dust213–7-0.0317%14 Feb →
nuke13–90.0218%14 Feb →
overpass10–130.0016%14 Feb →
overpass13–10-0.0323%14 Feb →
ancient15–150.0125%14 Feb →
overpass7–13-0.0216%14 Feb →
mirage13–100.0516%2 Feb →
mirage13–70.0712%2 Feb →
anubis6–13-0.0326%2 Feb →
ancient4–13-0.0419%2 Feb →
mirage16–140.1024%2 Feb →
nuke8–13-0.0213%2 Feb →
anubis16–130.0511%28 Jan →
ancient15–150.0622%28 Jan →
dust213–4-0.0214%28 Jan →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 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.