sepi

sepi — CS2 Stats

76561198014978328[U:1:54712600]Steam profile ↗✓ No bans

3,744Tracked matches67%Win rate2020Tracked since
5,512Hours in CS23Hrs last 2 wks
CSDB Rating6.9 SolidSupport
Premier CS Rating21,094Top 50% of 213,399 CSDB-tracked playersPink band · top ~7.3% of ranked players (population est.)
CSDB Leaderboard#68827 of 260038 tracked
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+583Premier CS Rating · 20,511 → 21,094

Rating over time

Premier CS Rating: 21,094 -2,879 2 Sept – 5 Nov · 20 days played
16,32323,973peak 23,9732 Sept5 Nov
23,973Peak Premier in tracked matches
18Days played since 2026-09-02

Premier CS Rating

  • 2,879 below peak (23,973)
  • -678 over 30 days · declining
  • Next: Red band at 25,000 — 3,906 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-09-02
  • Purple band first seen 2026-09-02

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate42.8%46.9%49.3%6.5% short
Shot accuracy9.8%13.0%13.4%3.5% short
Kill/death ratio1.011.081.120.11 short
Match win rate46.8%46.7%48.5%1.7% short

This profile sits below the typical Red band player on every metric we can compare.

Widest gap: Shot accuracy. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGsepiPREMIER21,094 · Pink bandcsdb.gg/stats

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Performance scores

Aim74
Positioning53
Utility58

0–100 skill scores via Leetify.

Recent form

HOT55–45Last 10055%Win rateWWWWWWWLWL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · −0.0pp headshot accuracy · +23ms 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

  • 5–0 · 100% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 15%
  • Avg reaction 587ms

Last 10

  • 8–2 · 80% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 576ms

Last 20

  • 15–5 · 75% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 564ms

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 (+0.9 against its own average).

Aim7.4
Utility5.8
Positioning5.3
Opening Duels3.3
Clutch5.2

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

Twistzz

Plays most like Twistzz 92% 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

Reaction time. 577ms 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

Aim7.4
Positioning5.3
Utility5.8
Mechanics7.4
Opening Duels4.6
Win Impact10.0

Composite 6.9/10 (Solid), 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+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time577ms+12ms
first ⅓ avg 565ms → last ⅓ avg 577ms
Headshot accuracy19.0%+2.2%
first ⅓ avg 16.7% → last ⅓ avg 19.0%

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

0.19Best match rating · 13–0 · inferno, 5 Oct →
42%Best headshot accuracy · 7–13 · dust2, 22 Oct →
414msFastest reaction time · 13–2 · ancient, 2 Nov →
13–0Biggest win · inferno, 3 Nov →

Across the last 100 tracked matches.

Highlights

7Longest win streak
W7Current streak
8–6In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 79% over 14mirageWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
cacheS1813–572%0.03
infernoS1711–665%0.03
dust2C167–944%-0.00
ancientS1411–379%0.03
mirageC145–936%0.01
anubisC114–736%-0.03
nukeC104–640%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (36% over 14). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

134,585Lifetime kills
1.01K/D
6,443Matches
46.8%Match win rate · Top 50% of Pink band
42.8%Headshot %
9.8%Shot accuracy
15,185MVPs
3,156Hours (in match)
5,058Bombs planted
1,701Bombs defused

Most-used weapons

AK-4743,805
AWP10,919
MAC-105,981
MP95,913
Molotov4,574

Lifetime map wins

14,337inferno
10,034dust2
4,414nuke
2,785train
2,161vertigo
594office
120lake
98cbble

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

Faceit stats

Combat

859Matches
53%Win rate
1.18Avg K/D
82.5ADR
39%Headshot %

Clutches & streaks

46%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Anubis8652%1.2216.6
Dust28651%1.0617.0
Inferno7762%1.4817.8
Mirage7050%1.0815.5
Ancient6250%1.2316.4
Train1953%1.0315.1
Nuke1464%1.3618.8
Vertigo1080%1.1020.8

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.

18.0%Headshot accuracy
36.8%Accuracy (enemy spotted)
41.8%Spray accuracy
83.3%Counter-strafing
11.6°Preaim
577msReaction time
53.0%T opening success
44.0%CT opening success
0.50Enemies flashed / flash
8.1%Flash assists
5.84HE damage / grenade
16.39Flashes / 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 0.4997 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno13–11-0.0120%5 Nov →
cache16–130.0417%5 Nov →
anubis13–40.0317%4 Nov →
dust213–110.067%4 Nov →
cache13–100.0411%4 Nov →
inferno13–11-0.0021%4 Nov →
ancient13–110.0722%4 Nov →
mirage9–130.0521%4 Nov →
cache13–8-0.0418%4 Nov →
nuke8–13-0.0011%3 Nov →
cache16–120.0016%3 Nov →
anubis14–16-0.0017%3 Nov →
dust23–13-0.068%3 Nov →
cache13–30.0716%3 Nov →
inferno13–00.1624%3 Nov →
inferno7–13-0.0213%2 Nov →
ancient16–120.0024%2 Nov →
ancient13–20.0315%2 Nov →
dust213–10-0.0320%2 Nov →
cache13–20.0613%2 Nov →
anubis10–130.0024%2 Nov →
ancient13–100.0023%2 Nov →
dust213–7-0.0211%2 Nov →
dust213–40.0013%2 Nov →
cache13–50.0830%2 Nov →
nuke16–130.0421%2 Nov →
mirage6–60.0540%23 Oct →
dust23–13-0.120%23 Oct →
inferno3–13-0.1232%23 Oct →
nuke11–13-0.0218%23 Oct →
inferno13–60.0324%23 Oct →
inferno13–70.0817%23 Oct →
dust27–130.0342%22 Oct →
inferno6–130.0116%22 Oct →
dust29–130.0820%22 Oct →
ancient13–110.0420%22 Oct →
mirage1–13-0.098%22 Oct →
mirage4–130.0316%22 Oct →
inferno13–10.0741%18 Oct →
cache16–130.0116%18 Oct →
nuke5–13-0.0620%18 Oct →
anubis5–13-0.1225%18 Oct →
nuke9–13-0.0816%18 Oct →
cache8–13-0.0625%16 Oct →
mirage9–13-0.0821%16 Oct →
mirage13–30.0516%16 Oct →
ancient13–50.1025%16 Oct →
dust213–100.0435%16 Oct →
cache13–3-0.0118%16 Oct →
mirage1–13-0.0631%16 Oct →
inferno6–13-0.0126%16 Oct →
ancient13–70.0619%16 Oct →
dust213–100.0429%16 Oct →
cache13–80.0631%16 Oct →
inferno11–130.0119%16 Oct →
nuke13–60.049%16 Oct →
inferno13–60.0626%15 Oct →
nuke3–13-0.0718%15 Oct →
anubis3–13-0.0831%15 Oct →
ancient13–7-0.0114%15 Oct →
cache13–40.1519%15 Oct →
inferno13–10-0.0823%12 Oct →
anubis3–13-0.0811%12 Oct →
nuke10–130.0522%12 Oct →
dust26–130.0224%11 Oct →
cache13–160.0516%11 Oct →
inferno13–90.1023%10 Oct →
mirage13–50.0914%10 Oct →
dust213–10-0.0319%10 Oct →
ancient11–130.0425%9 Oct →
cache8–13-0.0423%9 Oct →
anubis13–60.029%9 Oct →
mirage6–130.0415%9 Oct →
dust210–130.0315%8 Oct →
cache12–160.0315%8 Oct →
ancient13–30.1215%8 Oct →
anubis3–13-0.0514%5 Oct →
dust214–16-0.0616%5 Oct →
cache5–130.0713%5 Oct →
dust27–130.0018%5 Oct →
inferno13–16-0.0318%5 Oct →
ancient13–40.0117%5 Oct →
nuke16–14-0.0121%5 Oct →
anubis13–6-0.0613%5 Oct →
inferno13–00.1926%5 Oct →
ancient13–110.0015%5 Oct →
mirage13–50.0316%5 Oct →
cache13–30.0416%5 Oct →
mirage5–13-0.0514%5 Oct →
anubis8–13-0.067%5 Oct →
inferno13–40.0417%4 Oct →
mirage7–130.058%4 Oct →
nuke13–11-0.0418%4 Oct →
anubis13–40.0614%4 Oct →
cache13–9-0.0437%4 Oct →
ancient10–13-0.019%4 Oct →
mirage13–20.1220%4 Oct →
mirage13–10-0.0619%27 Sept →
dust22–13-0.0113%27 Sept →
ancient6–13-0.0524%26 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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.