ye

ye — CS2 Stats

76561198085212141[U:1:124946413]Steam profile ↗✓ No bans

1,377Tracked matches40%Win rate2020Tracked since
CSDB Rating4.4 DevelopingSupport
FaceitLevel 5 · 1,273 ELOTop 67.6% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 69 days played since 18 Aug 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 16,450 -1,677 18 Aug28 Jun · 27 days played
15,30920,101peak 20,10118 Aug28 Jun
20,101Peak Premier in tracked matches
1,273Highest Faceit ELO seen on CSDB
69Days played since 2025-08-18

Faceit ELO

  • At peak — 1,273
  • Next: Level 7 at 1,351 78 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3

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

Share this profile

CSDB.GGyeFACEITLevel 5 · 1,273 ELOSTANDINGTop 67.6% of rankedPEAK ELO1,273csdb.gg/stats

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Performance scores

Aim64
Positioning43
Utility50

0–100 skill scores via Leetify.

Recent form

COLD46531Last 10046%Win rateWLLLLWLWLL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · −1.3pp headshot accuracy · −69ms 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

  • 14 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 15%
  • Avg reaction 541ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 549ms

Last 20

  • 713 · 35% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 584ms

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: SupportUtility contribution stands above the rest of this profile (+1.1 against its own average).

Aim6.4
Utility5.0
Positioning4.3
Opening Duels2.9
Clutch3.4

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

jL

Plays most like jL 90% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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 48% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 619ms 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
Positioning4.3
Utility5.0
Mechanics6.5
Opening Duels2.3
Win Impact1.7

Composite 4.4/10 (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-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time614ms−76ms
first ⅓ avg 690ms → last ⅓ avg 614ms
Headshot accuracy17.7%−3.1%
first ⅓ avg 20.8% → last ⅓ avg 17.7%

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

0.17Best match rating · 4–0 · anubis, 21 Nov
50%Best headshot accuracy · 4–0 · anubis, 21 Nov
422msFastest reaction time · 5–13 · anubis, 3 Jul
13–2Biggest win · dust2, 1 Feb

Across the last 100 tracked matches.

Highlights

8Longest win streak
117In matches decided by ≤2 rounds
11Overtime games

Map breakdown

dust2Best map · 80% over 15infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageD2371630%-0.02
dust2S1512380%-0.02
anubisC146843%0.01
ancientS128467%-0.01
nukeD124833%-0.04
overpassA116555%-0.03
infernoD102820%-0.03
train31233%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

750Matches
49%Win rate
0.93Avg K/D
72.3ADR
45%Headshot %

Clutches & streaks

37%1v1 clutch win
15%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage18046%0.9914.7
Dust214348%0.9013.9
Ancient12160%0.9514.0
Anubis9247%0.9114.4
Nuke6946%0.9114.3
Overpass4159%0.8913.6
Inferno3951%1.0715.4
Train3741%0.8213.8

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.

17.7%Headshot accuracy
33.4%Accuracy (enemy spotted)
33.3%Spray accuracy
79.1%Counter-strafing
8.9°Preaim
619msReaction time
30.5%T opening success
48.1%CT opening success
0.49Enemies flashed / flash
5.9%Flash assists
6.79HE damage / grenade
9.65Flashes / 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. 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 0.4876 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 30.5085% — below the 40% mark we flag

Spend your practice time on Inferno

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

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–10-0.0429%11 Sept
mirage8–130.0010%3 Sept
dust28–13-0.0317%19 Aug
mirage5–13-0.108%18 Aug
anubis3–13-0.0211%12 Aug
dust219–150.0213%11 Aug
anubis9–130.0219%11 Aug
inferno16–140.0118%10 Aug
inferno10–13-0.0016%9 Aug
anubis5–13-0.059%3 Jul
mirage5–13-0.057%28 Jun
ancient13–80.0522%26 Jun
dust213–10-0.0222%26 Jun
nuke8–13-0.0724%25 Jun
nuke13–7-0.0719%25 Jun
anubis8–13-0.065%25 Jun
nuke4–13-0.0614%18 Jun
ancient13–70.0115%6 Jun
mirage6–13-0.0118%6 Jun
nuke5–13-0.0416%5 Jun
ancient7–13-0.0129%25 May
mirage10–130.019%9 May
mirage13–9-0.0017%4 May
anubis11–130.0030%6 Apr
mirage9–130.0425%5 Apr
anubis16–140.0317%4 Apr
mirage13–50.0232%4 Apr
mirage13–8-0.0115%20 Mar
overpass13–70.0115%12 Mar
mirage9–13-0.0024%10 Mar
dust213–9-0.0519%17 Feb
overpass13–11-0.0615%8 Feb
mirage13–11-0.0124%8 Feb
anubis12–16-0.0510%5 Feb
overpass9–130.0025%5 Feb
ancient10–13-0.0124%5 Feb
ancient13–11-0.0325%2 Feb
inferno1–13-0.0621%2 Feb
mirage1–13-0.1021%2 Feb
ancient13–70.0215%2 Feb
anubis13–70.0120%2 Feb
inferno13–10-0.0121%1 Feb
dust213–20.0212%1 Feb
mirage13–16-0.0616%31 Jan
mirage8–13-0.0519%31 Jan
overpass11–13-0.0420%31 Jan
ancient13–6-0.0624%31 Jan
anubis13–11-0.0118%30 Jan
nuke13–110.0315%30 Jan
anubis13–70.0120%25 Jan
anubis13–40.0217%22 Jan
dust213–11-0.068%20 Jan
ancient13–70.0118%11 Jan
ancient13–9-0.0411%6 Jan
nuke7–13-0.1421%30 Dec
dust21–13-0.0714%28 Dec
mirage9–13-0.0712%28 Dec
ancient4–13-0.0743%28 Dec
nuke17–19-0.0215%18 Dec
inferno10–13-0.0511%15 Dec
mirage10–13-0.0029%9 Dec
dust216–140.0219%6 Dec
dust213–90.0219%30 Nov
nuke10–13-0.0210%25 Nov
mirage13–6-0.0426%24 Nov
overpass3–13-0.0932%24 Nov
inferno10–13-0.0231%23 Nov
anubis4–00.1750%21 Nov
dust213–6-0.0620%18 Nov
nuke13–6-0.0626%18 Nov
train16–140.0226%16 Nov
ancient12–16-0.0323%16 Nov
inferno15–19-0.0618%15 Nov
dust222–19-0.0321%13 Nov
dust24–130.0016%12 Nov
nuke11–13-0.0127%11 Nov
overpass13–10-0.0214%8 Nov
overpass13–6-0.0014%7 Nov
inferno4–13-0.0628%26 Oct
mirage13–110.0517%23 Oct
train7–13-0.0132%19 Oct
dust213–8-0.0334%15 Oct
mirage13–90.0118%15 Oct
inferno11–130.0416%15 Oct
nuke7–13-0.0212%14 Oct
overpass13–4-0.0411%14 Oct
ancient8–20.0420%13 Oct
overpass10–13-0.0325%4 Oct
mirage5–130.0123%4 Oct
overpass13–50.0926%3 Oct
mirage7–13-0.0226%11 Sept
dust213–3-0.0220%11 Sept
overpass1–13-0.130%9 Sept
mirage11–13-0.0217%9 Sept
anubis7–130.0825%27 Aug
anubis12–120.0113%25 Aug
train7–13-0.0417%25 Aug
inferno11–13-0.0216%19 Aug
nuke13–60.0311%18 Aug
mirage8–13-0.0226%18 Aug

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 →