sepo

sepo — CS2 Stats

TN76561198860931726[U:1:900665998]Steam profile ↗✓ No bans

3,217Tracked matches57%Win rate2020Tracked since
3,295Hours in CS
CSDB Rating5.2 DevelopingPositional Player
CSDB Leaderboard#12840 of 252070 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 25,990 +7,082 14 Jan – 15 Jan · 12 days played
18,90825,990peak 25,99014 Jan15 Jan
25,990Peak Premier in tracked matches
68Days played since 2025-01-14

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 10 among CSDB-tracked players (n=29,846), 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 10 median
Headshot rate51.3%50.9%
Shot accuracy15.7%13.7%
Kill/death ratio0.971.09
Match win rate50.3%48.4%

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CSDB.GGsepoFACEITLevel 10STANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim57
Positioning54
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY59–41Last 10059%Win rateLWLLWWWWLW

Last 10 vs previous 10: 0pp win rate · +0.02 avg rating · −2.5pp headshot accuracy · +17ms reaction

Win rate 0pp 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 -0.00
  • Avg headshot accuracy 17%
  • Avg reaction 681ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 639ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 18%
  • Avg reaction 631ms

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 (+0.9 against its own average).

Aim5.7
Utility3.1
Positioning5.4
Opening Duels5.4
Clutch4.0

Limited utility dependence

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 80% playstyle similarity

Most alike: opening-duel success, positioning profile.

Where you differ: lower utility contribution; 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 56% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 613ms 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

Aim5.7
Positioning5.4
Utility3.1
Mechanics5.0
Opening Duels4.4
Win Impact7.2

Composite 5.2/10 (Developing), 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 rating-0.01−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time620ms+14ms
first ⅓ avg 606ms → last ⅓ avg 620ms
Headshot accuracy18.4%+4.1%
first ⅓ avg 14.3% → last ⅓ avg 18.4%

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

0.14Best match rating · 13–7 · train, 5 Feb →
41%Best headshot accuracy · 14–16 · inferno, 28 Apr →
398msFastest reaction time · 13–7 · anubis, 24 Jan →
13–1Biggest win · inferno, 14 Dec →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–6In matches decided by ≤2 rounds
9Overtime games

Map breakdown

nukeBest map · 88% over 17trainWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB209–1145%0.01
nukeS1715–288%0.01
ancientB158–753%-0.02
anubisS1412–286%-0.01
infernoS86–275%0.02
trainD71–614%-0.02
cacheB63–350%0.00
dust2—42–250%-0.03
overpass—31–233%-0.01
vertigo—21–150%0.05
warden—10–10%-0.07
stronghold—11–0100%-0.04
jura—10–10%-0.06
grail—10–10%-0.03

Across the last 100 tracked matches.

Lifetime stats

140,792Lifetime kills
0.97K/D
4,458Matches
50.3%Match win rate · Top 50% of Level 10 players
51.3%Headshot % · Top 50% of Level 10 players
15.7%Shot accuracy · Top 50% of Level 10 players
11,509MVPs
3,295Hours (in match)
2,360Bombs planted
962Bombs defused

Most-used weapons

AK-4756,760
AWP15,662
Knife3,075
FAMAS2,509
MP92,389

Lifetime map wins

10,402nuke
8,599vertigo
7,553inferno
3,147train
2,318dust2
54cbble
36office
24lake

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

Faceit stats

Combat

3,439Matches
51%Win rate
1.02Avg K/D
79.4ADR
37%Headshot %

Clutches & streaks

40%1v1 clutch win
20%1v2 clutch win
14Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Mirage21050%1.0515.5
Nuke13064%1.2417.7
Anubis10247%1.0015.0
Inferno8045%0.9615.7
Vertigo6055%1.1616.7
Ancient5643%0.9214.9
Dust23936%0.8913.9
Train3444%1.1416.5

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.

19.0%Headshot accuracy
30.5%Accuracy (enemy spotted)
38.3%Spray accuracy
72.6%Counter-strafing
10.2°Preaim
613msReaction time
38.6%T opening success
56.3%CT opening success
0.51Enemies flashed / flash
4.6%Flash assists
7.53HE damage / grenade
3.30Flashes / 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

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.3028 — below the 4 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 38.5812% — below the 40% mark we flag

Spend your practice time on Train

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

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
warden8–13-0.076%3 Jun →
cache13–30.0317%29 May →
anubis4–13-0.0323%29 May →
cache8–130.0418%20 May →
ancient13–100.0120%13 May →
mirage13–7-0.0212%9 May →
cache13–80.0317%7 May →
ancient13–10-0.0224%7 May →
cache10–13-0.0314%6 May →
cache13–10-0.0318%4 May →
cache13–16-0.0221%29 Apr →
inferno14–16-0.0341%28 Apr →
ancient13–90.0119%26 Apr →
nuke13–60.0314%17 Mar →
stronghold13–10-0.0412%7 Feb →
nuke13–9-0.0211%7 Feb →
mirage4–13-0.1118%5 Feb →
ancient13–11-0.0223%5 Feb →
nuke13–3-0.0119%4 Feb →
train0–13-0.0716%15 Jan →
nuke13–60.0128%9 Jan →
inferno13–10.0213%14 Dec →
vertigo11–130.0618%27 Oct →
inferno13–50.0623%30 Aug →
ancient5–80.0619%30 Aug →
train10–13-0.0231%12 Aug →
dust210–13-0.0228%12 Aug →
ancient13–80.0110%6 Aug →
inferno13–7-0.068%6 Aug →
mirage1–13-0.0715%5 Aug →
dust216–14-0.0321%4 Aug →
nuke13–7-0.0118%4 Aug →
nuke13–16-0.0515%4 Aug →
inferno13–30.0921%4 Aug →
nuke13–90.0918%4 Aug →
train10–13-0.0312%4 Aug →
overpass9–13-0.0420%3 Aug →
mirage13–70.0535%3 Aug →
nuke13–60.0028%3 Aug →
ancient13–8-0.0122%3 Aug →
mirage13–50.1030%2 Aug →
ancient11–13-0.0017%2 Aug →
overpass13–90.0113%30 Jul →
jura8–13-0.0619%28 Jul →
mirage14–160.0421%27 Jul →
mirage13–100.0817%25 Jul →
mirage13–40.0427%24 Jul →
ancient9–13-0.068%16 Jul →
overpass10–13-0.0119%16 Jul →
mirage2–13-0.0033%7 Jul →
nuke13–50.108%7 Jul →
inferno13–80.0418%4 Jul →
ancient6–13-0.0518%2 Jul →
mirage13–6-0.0016%2 Jul →
nuke13–110.0014%1 Jul →
nuke13–90.0025%1 Jul →
grail10–13-0.0326%1 Jul →
ancient8–13-0.0512%15 Jun →
anubis13–110.0225%13 Jun →
dust213–100.0029%13 Jun →
nuke13–100.0524%8 Jun →
mirage9–13-0.0116%6 Apr →
mirage10–130.0211%2 Apr →
train10–13-0.088%2 Apr →
train12–16-0.0515%29 Mar →
ancient8–13-0.0610%27 Mar →
ancient13–10-0.0211%24 Mar →
nuke13–60.0721%24 Mar →
anubis13–20.0520%20 Mar →
train9–13-0.0116%17 Mar →
anubis13–8-0.0218%16 Mar →
ancient13–11-0.038%15 Mar →
mirage3–13-0.0412%13 Mar →
mirage2–13-0.0131%13 Mar →
dust28–13-0.0613%12 Mar →
mirage13–3-0.006%10 Mar →
anubis13–20.0614%7 Mar →
ancient8–13-0.0112%1 Mar →
nuke13–100.0511%27 Feb →
anubis13–30.027%24 Feb →
nuke13–60.0022%24 Feb →
inferno13–50.0415%22 Feb →
anubis3–13-0.085%21 Feb →
mirage14–160.0217%21 Feb →
mirage14–160.0217%18 Feb →
nuke2–13-0.1316%18 Feb →
anubis13–9-0.0323%14 Feb →
mirage13–70.028%8 Feb →
inferno6–13-0.0118%6 Feb →
anubis13–7-0.0410%5 Feb →
train13–70.1413%5 Feb →
anubis13–9-0.0213%31 Jan →
mirage16–140.0416%31 Jan →
anubis13–7-0.0411%30 Jan →
mirage5–130.0117%30 Jan →
anubis13–20.0219%30 Jan →
anubis13–70.0117%24 Jan →
nuke13–80.0411%23 Jan →
anubis13–9-0.015%17 Jan →
vertigo13–100.0411%14 Jan →

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 101,000 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.