1ssem

1ssem — CS2 Stats

AR76561198066947567[U:1:106681839]Steam profile ↗✓ No bans

2,379Tracked matches59%Win rate2021Tracked since
CSDB Rating7.0 StrongPositional Player
Premier CS Rating24,556Top 25% of 215,386 CSDB-tracked playersPink band · top ~3.5% of ranked players (population est.)
CSDB Leaderboard#27992 of 261516 tracked
FaceitLevel 10 · 2,258 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Oct 2026 (23 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,379 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,556 -2,692 16 Apr – 22 Oct · 16 days played
23,54427,360peak 27,36016 Apr22 Oct
Faceit ELO: 2,258 +0 5 Sept – 22 Oct · 6 observations
2,2582,258peak 2,2585 Sept22 Oct
27,360Peak Premier in tracked matches
2,258Highest Faceit ELO seen on CSDB
50Days played since 2026-04-16

Faceit ELO

  • At peak — 2,258
  • 0 over 30 days · steady
  • Next: 2,500 ELO at 2,500 — 242 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-05
  • Level 9 first seen 2026-09-05

Premier CS Rating

  • 2,804 below peak (27,360)
  • -872 over 30 days · declining
  • +1,012 over 90 days
  • Next: Red band at 25,000 — 444 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-05
  • Pink band first seen 2026-09-05

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GG1ssemFACEITLevel 10 · 2,258 ELOSTANDINGTop 12.4% of rankedPREMIER24,556 · Pink band30 DAYS0 ELOPEAK ELO2,258csdb.gg/stats

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Performance scores

Aim85
Positioning58
Utility44

0–100 skill scores via Leetify.

Recent form

STEADY57–35–8Last 10057%Win rateWTWWTLWLLW

Last 10 vs previous 10: −20pp win rate · +0.04 avg rating · +8.1pp headshot accuracy · −31ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–0–2 · 60% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 24%
  • Avg reaction 584ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 523ms

Last 20

  • 12–6–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 19%
  • Avg reaction 539ms

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 (+1.2 against its own average).

Aim8.5
Utility4.4
Positioning5.8
Opening Duels4.4
Clutch3.8

Sharp aimerStrong CT-side opener

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

donk

Plays most like donk 90% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning 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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.5
Positioning5.8
Utility4.4
Mechanics7.9
Opening Duels5.0
Win Impact8.1

Composite 7.0/10 (Strong), 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 rating0.02−0.02
first ⅓ avg 0.04 → last ⅓ avg 0.02
Reaction time528ms−66ms
first ⅓ avg 594ms → last ⅓ avg 528ms
Headshot accuracy19.2%−3.2%
first ⅓ avg 22.5% → last ⅓ avg 19.2%

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

0.18Best match rating · 13–1 · dust2, 8 Oct →
39%Best headshot accuracy · 13–3 · anubis, 28 Jul →
328msFastest reaction time · 13–1 · inferno, 2 Oct →
13–0Biggest win · mirage, 1 Jul →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–6In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 83% over 12infernoWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B3920–1951%0.04
mirageA159–660%0.02
ancientA148–657%0.02
anubisS1210–283%0.02
infernoC73–443%0.03
nukeA74–357%0.01
cacheB63–350%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (43% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

685Matches
54%Win rate
1.24Avg K/D
87.7ADR
55%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Ancient17755%1.2217.8
Dust215055%1.2617.9
Anubis11362%1.3118.8
Mirage11153%1.1917.9
Nuke3642%1.2819.8
Inferno3145%1.3218.1
Cache1828%1.0816.3
Overpass1850%1.2119.2

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.

19.5%Headshot accuracy
35.2%Accuracy (enemy spotted)
37.9%Spray accuracy
85.4%Counter-strafing
7.9°Preaim
530msReaction time
44.8%T opening success
55.3%CT opening success
0.53Enemies flashed / flash
6.3%Flash assists
4.04HE damage / grenade
9.38Flashes / match

Recommended for you

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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–50.0532%12 Oct →
dust212–12-0.0127%8 Oct →
dust213–10.1818%8 Oct →
dust213–30.0621%2 Oct →
dust212–120.0420%2 Oct →
dust23–50.0524%2 Oct →
inferno13–10.1024%2 Oct →
dust27–13-0.0130%1 Aug →
inferno3–130.0116%1 Aug →
mirage13–70.0422%1 Aug →
mirage13–16-0.0411%31 Jul →
nuke13–100.0124%31 Jul →
anubis13–80.028%31 Jul →
dust213–60.0113%31 Jul →
dust213–8-0.048%31 Jul →
inferno13–60.0221%31 Jul →
dust28–130.0716%31 Jul →
ancient5–00.0433%31 Jul →
ancient2–13-0.0410%31 Jul →
anubis13–60.109%30 Jul →
cache9–130.0435%29 Jul →
anubis13–80.0524%29 Jul →
dust20–13-0.040%28 Jul →
anubis13–3-0.0539%28 Jul →
dust20–13-0.050%28 Jul →
nuke15–15-0.0428%27 Jul →
mirage3–0-0.0810%27 Jul →
inferno6–13-0.0417%26 Jul →
dust214–16-0.0316%26 Jul →
anubis16–14-0.0120%25 Jul →
dust213–30.0518%23 Jul →
anubis15–150.0519%23 Jul →
dust213–110.0221%23 Jul →
nuke13–90.0215%23 Jul →
dust213–100.0631%22 Jul →
dust213–90.0424%22 Jul →
ancient13–80.0722%22 Jul →
inferno7–130.0822%22 Jul →
anubis13–11-0.0117%17 Jul →
ancient13–10-0.0225%15 Jul →
dust213–8-0.0432%13 Jul →
ancient13–6-0.0218%12 Jul →
dust213–20.1624%12 Jul →
mirage11–130.0018%11 Jul →
mirage13–00.0621%1 Jul →
ancient13–100.0931%1 Jul →
dust214–16-0.0318%1 Jul →
cache4–13-0.0225%29 Jun →
ancient19–220.0223%24 Jun →
ancient13–60.0120%22 Jun →
cache11–13-0.0321%15 Jun →
mirage13–6-0.0032%14 Jun →
dust213–40.1421%14 Jun →
dust212–120.0627%13 Jun →
mirage13–0-0.0127%12 Jun →
mirage11–13-0.0125%12 Jun →
mirage13–30.0527%3 Jun →
dust29–130.0617%30 May →
anubis13–50.0412%29 May →
ancient7–130.0429%25 May →
mirage13–80.0224%25 May →
anubis13–40.0728%23 May →
ancient22–20-0.0130%21 May →
dust26–130.0119%16 May →
dust213–20.0026%16 May →
ancient6–13-0.0013%14 May →
nuke7–13-0.0418%13 May →
ancient13–70.1012%6 May →
cache13–80.0624%5 May →
mirage13–110.0621%5 May →
dust213–70.0328%4 May →
dust22–9-0.0233%30 Apr →
cache13–60.0317%30 Apr →
dust216–130.0424%30 Apr →
cache13–40.0814%29 Apr →
dust213–100.0927%28 Apr →
mirage13–20.0815%25 Apr →
anubis13–20.038%25 Apr →
dust212–120.0326%23 Apr →
mirage4–13-0.0238%23 Apr →
dust213–00.1426%22 Apr →
dust212–12-0.0119%21 Apr →
nuke13–90.1137%21 Apr →
dust210–13-0.0317%21 Apr →
mirage10–130.0122%21 Apr →
inferno5–13-0.0120%21 Apr →
dust25–130.0321%20 Apr →
dust213–30.0629%20 Apr →
dust29–13-0.0317%19 Apr →
ancient6–13-0.0323%19 Apr →
inferno13–60.0323%19 Apr →
nuke8–13-0.0124%18 Apr →
anubis13–6-0.0413%18 Apr →
anubis10–130.0318%17 Apr →
nuke13–0-0.0120%17 Apr →
mirage9–130.0823%17 Apr →
dust212–120.0224%17 Apr →
dust213–30.1331%17 Apr →
dust213–50.0724%17 Apr →
ancient13–160.0426%16 Apr →

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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