yepster

yepster — CS2 Stats

76561198018564088[U:1:58298360]Steam profile ↗✓ No bans

4,130Tracked matches53%Win rate2020Tracked since
CSDB Rating6.0 SolidSupport
FaceitLevel 10 · 2,461 ELOTop 12.4% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

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CSDB.GGyepsterFACEITLevel 10 · 2,461 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim78
Positioning48
Utility69

0–100 skill scores via Leetify.

Recent form

STEADY47–52–1Last 10047%Win rateLLLWWLWWWW

Last 10 vs previous 10: +10pp win rate · +0.03 avg rating · +2.8pp headshot accuracy · +45ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 27%
  • Avg reaction 631ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 591ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 569ms

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 (+2.9 against its own average).

Aim7.8
Utility6.9
Positioning4.8
Opening Duels0.6
Clutch3.6

Effective flashes

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

Twistzz

Plays most like Twistzz 83% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 569ms 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

Aim7.8
Positioning4.8
Utility6.9
Mechanics6.5
Opening Duels1.0
Win Impact6.1

Composite 6.0/10 (Solid), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time569ms−34ms
first ⅓ avg 602ms → last ⅓ avg 569ms
Headshot accuracy21.4%+0.9%
first ⅓ avg 20.5% → last ⅓ avg 21.4%

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 · 13–5 · dust2, 12 Jul →
46%Best headshot accuracy · 13–11 · nuke, 18 May →
367msFastest reaction time · 5–13 · mirage, 22 Sept →
13–2Biggest win · mirage, 30 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
6–13In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 54% over 13ancientWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB3619–1753%0.00
dust2B168–850%0.01
nukeB137–654%0.00
ancientD122–1017%-0.01
infernoC94–544%0.01
anubisB63–350%-0.02
cache—31–233%0.03
vertigo—32–167%0.03
italy—10–10%0.04
train—11–0100%0.07

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

2,775Matches
52%Win rate
1.00Avg K/D
70.3ADR
47%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage37550%0.9713.7
Anubis25352%1.0014.1
Ancient24947%0.9313.6
Dust214658%0.9613.5
Inferno10444%0.9413.1
Vertigo7850%0.9713.7
Nuke6954%0.9615.4
Train2055%1.1314.3

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.

20.8%Headshot accuracy
35.5%Accuracy (enemy spotted)
37.6%Spray accuracy
79.2%Counter-strafing
9.0°Preaim
569msReaction time
24.1%T opening success
38.1%CT opening success
0.74Enemies flashed / flash
6.2%Flash assists
8.77HE damage / grenade
16.27Flashes / 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. 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 24.0646% — below the 40% mark we flag

Spend your practice time on Ancient

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 12 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno8–130.0619%13 Oct →
italy7–130.0423%13 Oct →
mirage3–130.0128%13 Oct →
nuke13–70.0336%13 Oct →
ancient13–70.1229%13 Oct →
dust28–13-0.0424%12 Oct →
anubis13–100.0816%12 Oct →
nuke13–70.0017%12 Oct →
inferno13–50.0621%12 Oct →
dust213–7-0.0017%12 Oct →
mirage9–13-0.0527%12 Oct →
dust26–130.0327%11 Oct →
mirage13–40.0220%11 Oct →
inferno13–4-0.0217%11 Oct →
mirage2–10.0320%11 Oct →
nuke6–130.0610%6 Oct →
anubis13–60.0622%6 Oct →
inferno13–50.0316%6 Oct →
mirage8–13-0.0520%3 Oct →
ancient10–13-0.0323%3 Oct →
mirage3–13-0.0618%3 Oct →
dust213–80.0623%3 Oct →
anubis4–13-0.0828%3 Oct →
mirage11–13-0.0310%3 Oct →
cache13–80.0720%2 Oct →
anubis13–9-0.0414%2 Oct →
nuke11–5-0.0322%2 Oct →
dust219–16-0.0314%2 Oct →
mirage10–13-0.0235%2 Oct →
ancient4–13-0.0814%2 Oct →
mirage12–120.0427%30 Sept →
mirage13–20.1532%30 Sept →
nuke6–130.0320%30 Sept →
nuke13–5-0.0229%23 Sept →
mirage13–50.0631%22 Sept →
inferno9–13-0.0413%22 Sept →
mirage5–13-0.0516%22 Sept →
mirage13–10-0.0315%18 Sept →
dust210–130.0114%18 Sept →
nuke11–13-0.0017%18 Sept →
dust211–13-0.0416%16 Sept →
mirage16–120.0421%16 Sept →
mirage11–13-0.0016%15 Sept →
mirage7–130.0416%15 Sept →
dust213–40.0136%21 Jul →
dust213–30.1315%20 Jul →
mirage13–30.1120%13 Jul →
inferno11–13-0.0330%12 Jul →
dust213–50.1527%12 Jul →
inferno8–130.0334%12 Jul →
train13–110.0733%23 Jun →
ancient11–13-0.0424%23 Jun →
nuke16–140.0120%22 Jun →
mirage13–100.0329%15 Jun →
nuke5–130.000%14 Jun →
nuke16–13-0.0127%10 Jun →
mirage11–13-0.0738%3 Jun →
dust211–130.0634%3 Jun →
vertigo13–5-0.0125%3 Jun →
mirage8–13-0.0431%2 Jun →
inferno11–130.0125%2 Jun →
mirage8–13-0.0328%2 Jun →
mirage13–2-0.0315%1 Jun →
dust23–13-0.0818%1 Jun →
ancient11–13-0.0211%1 Jun →
mirage19–160.0726%1 Jun →
mirage13–60.0738%31 May →
dust210–13-0.0232%30 May →
mirage5–13-0.0515%30 May →
dust213–7-0.0224%30 May →
dust213–9-0.0418%28 May →
cache14–160.0516%23 May →
ancient6–13-0.0712%23 May →
mirage13–2-0.0518%23 May →
mirage16–13-0.0012%23 May →
anubis13–16-0.0617%21 May →
vertigo13–110.0923%20 May →
ancient7–130.0220%20 May →
mirage13–50.0221%20 May →
ancient13–6-0.0715%20 May →
nuke10–130.0123%19 May →
ancient4–130.0325%19 May →
ancient13–160.0521%19 May →
mirage16–120.0022%19 May →
nuke5–13-0.1018%18 May →
nuke13–110.0146%18 May →
mirage13–6-0.0128%18 May →
inferno13–110.0115%18 May →
dust210–13-0.0529%18 May →
mirage13–6-0.0320%11 May →
ancient11–13-0.0216%7 May →
anubis11–13-0.0519%6 May →
mirage10–13-0.0115%6 May →
mirage13–50.0922%6 May →
mirage13–80.1015%5 May →
vertigo8–130.0125%5 May →
mirage6–13-0.0513%5 May →
mirage9–13-0.0614%5 May →
cache5–13-0.0226%5 May →
ancient12–160.0522%5 May →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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