Popsen

Popsen — CS2 Stats

SE76561198902502995[U:1:942237267]Steam profile ↗✓ No bans

3,512Tracked matches50%Win rate2020Tracked since
5,938Hours in CS22Hrs last 2 wks
CSDB Rating6.9 SolidSupport
Premier CS Rating25,671Top 10% of 208,191 CSDB-tracked playersRed band · top ~2.7% of ranked players (population est.)
CSDB Leaderboard#15374 of 255804 tracked
FaceitLevel 10Top 12.4% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 21 Apr 2026 (183 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

25,671Peak Premier in tracked matches
44Days played since 2026-03-17

Premier CS Rating

  • At peak — 25,671
  • Next: Gold band at 30,000 — 4,329 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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=30,061), 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 rate54.5%50.9%
Shot accuracy16.1%13.7%
Kill/death ratio1.271.09
Match win rate49.4%48.4%

Share this profile

CSDB.GGPopsenFACEITLevel 10STANDINGTop 12.4% of rankedPREMIER25,671 · Red bandcsdb.gg/stats

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Performance scores

Aim82
Positioning54
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY46–53–1Last 10046%Win rateWLLLLWLWWL

Last 10 vs previous 10: 0pp win rate · −0.03 avg rating · +1.4pp headshot accuracy · −48ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 22%
  • Avg reaction 506ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 514ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 538ms

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 (+1.5 against its own average).

Aim8.2
Utility6.3
Positioning5.4
Opening Duels3.5
Clutch4.2

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

ZywOo

Plays most like ZywOo 94% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower aim profile; lower positioning profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.2
Positioning5.4
Utility6.3
Mechanics7.8
Opening Duels3.8
Win Impact5.0

Composite 6.9/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01−0.02
first ⅓ avg 0.03 → last ⅓ avg 0.01
Reaction time543ms−38ms
first ⅓ avg 581ms → last ⅓ avg 543ms
Headshot accuracy21.6%−1.4%
first ⅓ avg 23.0% → last ⅓ avg 21.6%

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 · 13–6 · ancient, 29 Mar →
67%Best headshot accuracy · 3–5 · train, 25 Apr →
375msFastest reaction time · 8–13 · mirage, 25 Jul →
13–0Biggest win · train, 29 May →

Across the last 100 tracked matches.

Highlights

6Longest win streak
10–13In matches decided by ≤2 rounds
20Overtime games

Map breakdown

vertigoBest map · 67% over 12ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC2410–1442%0.00
anubisA1610–663%0.02
dust2C135–838%0.02
vertigoS128–467%0.05
ancientD103–730%0.03
infernoC83–538%0.02
nukeC73–443%0.01
trainC52–340%0.01
overpass—31–233%0.02
cache—10–10%-0.03
cache_b—11–0100%0.06

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

206,045Lifetime kills
1.27K/D · Top 25% of Level 10 players
6,044Matches
49.4%Match win rate · Top 50% of Level 10 players
54.5%Headshot % · Top 50% of Level 10 players
16.1%Shot accuracy · Top 50% of Level 10 players
23,396MVPs
3,418Hours (in match)
4,944Bombs planted
2,782Bombs defused

Most-used weapons

AK-4793,752
AWP25,224
Knife3,968
MP93,454
MAC-102,628

Lifetime map wins

12,243vertigo
8,527inferno
5,187nuke
5,169dust2
2,022train
492office
307lake
262cbble

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

Faceit stats

Combat

1,351Matches
51%Win rate
1.23Avg K/D
83.3ADR
43%Headshot %

Clutches & streaks

41%1v1 clutch win
25%1v2 clutch win
10Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage11351%1.1617.1
Ancient8451%1.2716.9
Anubis5454%1.1015.4
Inferno3762%1.2017.1
Dust23447%1.0415.2
Vertigo2065%1.3218.8
Nuke2070%1.1716.8
Overpass1070%1.6220.3

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.

20.5%Headshot accuracy
35.8%Accuracy (enemy spotted)
39.4%Spray accuracy
85.1%Counter-strafing
9.4°Preaim
549msReaction time
40.6%T opening success
50.1%CT opening success
0.63Enemies flashed / flash
12.8%Flash assists
14.21HE damage / grenade
6.50Flashes / match

Recommended for you

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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–60.0513%16 Oct →
mirage4–130.0239%6 Oct →
train9–130.0416%17 Sept →
nuke4–9-0.2024%17 Sept →
inferno4–13-0.1017%9 Sept →
inferno13–80.1227%22 Aug →
mirage7–13-0.0129%13 Aug →
mirage13–10-0.0515%6 Aug →
nuke13–100.1323%6 Aug →
mirage6–13-0.0826%6 Aug →
mirage13–60.0120%5 Aug →
mirage8–13-0.0217%4 Aug →
anubis13–20.0143%4 Aug →
mirage8–130.0021%25 Jul →
mirage13–50.0412%23 Jul →
vertigo4–130.0121%22 Jul →
ancient11–130.0825%22 Jul →
anubis11–130.0118%22 Jul →
inferno12–160.0216%22 Jul →
nuke13–100.0422%15 Jul →
mirage5–130.0123%15 Jul →
anubis11–130.0414%10 Jul →
inferno2–130.0018%10 Jul →
mirage13–5-0.0014%10 Jul →
mirage13–110.0014%10 Jul →
ancient11–13-0.0620%27 Jun →
anubis13–9-0.0220%24 Jun →
inferno13–110.0327%6 Jun →
dust219–170.0210%5 Jun →
anubis16–14-0.0119%5 Jun →
train13–00.0742%29 May →
cache8–13-0.0317%14 May →
mirage4–130.0529%14 May →
mirage11–130.0329%12 May →
ancient13–90.0823%10 May →
ancient10–13-0.0323%29 Apr →
mirage13–16-0.0227%29 Apr →
vertigo9–130.1026%25 Apr →
train3–5-0.0467%25 Apr →
anubis16–140.0026%21 Apr →
mirage10–13-0.0323%21 Apr →
vertigo13–80.0218%13 Apr →
inferno7–90.0828%10 Apr →
vertigo12–120.0830%9 Apr →
mirage14–160.0112%7 Apr →
mirage11–130.0622%6 Apr →
ancient8–13-0.0012%6 Apr →
ancient10–130.0126%5 Apr →
mirage5–13-0.0132%3 Apr →
overpass14–16-0.0214%3 Apr →
cache_b16–140.0614%29 Mar →
ancient13–60.1721%29 Mar →
mirage13–100.0824%29 Mar →
mirage13–70.0220%29 Mar →
anubis7–13-0.0124%28 Mar →
dust22–13-0.0129%27 Mar →
dust213–16-0.0232%27 Mar →
ancient13–160.0521%27 Mar →
vertigo13–100.0832%25 Mar →
train10–13-0.0034%25 Mar →
vertigo13–80.0715%25 Mar →
anubis7–130.0413%24 Mar →
dust211–13-0.0018%24 Mar →
vertigo13–90.0120%24 Mar →
mirage13–8-0.0121%24 Mar →
anubis10–130.0027%24 Mar →
mirage13–50.0428%24 Mar →
anubis13–160.0514%23 Mar →
ancient13–16-0.0116%23 Mar →
anubis13–100.0521%22 Mar →
anubis16–120.0619%22 Mar →
vertigo9–130.0933%22 Mar →
dust28–13-0.0129%22 Mar →
mirage19–160.0127%22 Mar →
nuke11–13-0.0133%22 Mar →
nuke9–130.0135%22 Mar →
inferno13–9-0.0012%22 Mar →
dust213–160.0121%22 Mar →
anubis13–50.1037%21 Mar →
dust213–100.0528%21 Mar →
vertigo16–130.0425%21 Mar →
mirage14–16-0.0435%21 Mar →
dust26–130.0817%21 Mar →
inferno8–13-0.0313%21 Mar →
train13–50.0119%21 Mar →
dust24–13-0.0519%20 Mar →
overpass10–130.0423%20 Mar →
ancient13–110.0613%19 Mar →
overpass13–90.0330%19 Mar →
anubis19–160.0427%19 Mar →
dust29–13-0.0017%19 Mar →
vertigo13–11-0.0220%19 Mar →
nuke13–60.0527%19 Mar →
anubis13–40.0112%18 Mar →
dust213–110.0615%18 Mar →
vertigo19–160.1335%18 Mar →
anubis19–17-0.0223%18 Mar →
nuke10–130.0313%18 Mar →
vertigo13–80.0524%17 Mar →
dust212–50.0729%17 Mar →

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 →

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