soomamii ♡

soomamii ♡ — CS2 Stats

US76561198065224003[U:1:104958275]Steam profile ↗✓ No bans

4,452Tracked matches59%Win rate2020Tracked since
CSDB Rating5.6 SolidSupport
Premier CS Rating23,565Top 25% of 213,740 CSDB-tracked playersPink band · top ~4.6% of ranked players (population est.)
CSDB Leaderboard#37438 of 260208 tracked
FaceitLevel 8 · 1,987 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 6 Nov 2026 (yesterday). 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

Premier CS Rating: 23,565 -581 28 Aug – 6 Nov · 29 days played
22,83525,115peak 25,11528 Aug6 Nov
Faceit ELO: 1,987 +0 28 Aug – 7 Oct · 5 observations
1,9871,987peak 1,98728 Aug7 Oct
25,115Peak Premier in tracked matches
1,987Highest Faceit ELO seen on CSDB
34Days played since 2026-08-28

Faceit ELO

  • At peak — 1,987
  • 0 over 30 days · steady
  • Next: Level 10 at 2,001 — 14 to go
  • Reached: Level 9 · Level 8 · Level 7 · Level 6
  • Level 9 first seen 2026-08-28
  • Level 8 first seen 2026-08-28

Premier CS Rating

  • 1,550 below peak (25,115)
  • +100 over 30 days · steady
  • Next: Red band at 25,000 — 1,435 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-28
  • Purple band first seen 2026-08-28

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.GGsoomamii ♡FACEITLevel 8 · 1,987 ELOSTANDINGTop 31.2% of rankedPREMIER23,565 · Pink band30 DAYS0 ELOPEAK ELO1,987csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim58
Positioning50
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY48–39–13Last 10048%Win rateWWWLLWWWLL

Last 10 vs previous 10: +10pp win rate · +0.00 avg rating · +1.6pp headshot accuracy · +13ms 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

  • 3–2 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 569ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 553ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 547ms

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 (+2.4 against its own average).

Aim5.8
Utility6.1
Positioning5.0
Opening Duels0.0
Clutch3.8

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

iM

Plays most like iM 71% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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

CT openings. Opening success drops from 45% on T to 24% on CT — first contacts on the defending side are being lost.

Reaction time. 552ms 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

Aim5.8
Positioning5.0
Utility6.1
Mechanics5.8
Opening Duels1.8
Win Impact8.1

Composite 5.6/10 (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 rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time558ms−31ms
first ⅓ avg 589ms → last ⅓ avg 558ms
Headshot accuracy13.5%−2.8%
first ⅓ avg 16.3% → last ⅓ avg 13.5%

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

0.11Best match rating · 11–13 · cache, 10 Sept →
37%Best headshot accuracy · 13–4 · dust2, 21 Sept →
391msFastest reaction time · 13–0 · dust2, 24 Oct →
13–0Biggest win · dust2, 24 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
7–12In matches decided by ≤2 rounds
13Overtime games

Map breakdown

vertigoBest map · 67% over 6nukeWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
dust2B2714–1352%-0.02
mirageC219–1243%-0.01
infernoC104–640%-0.02
cacheA106–460%-0.00
anubisA106–460%0.00
nukeD93–633%-0.03
ancientD62–433%-0.02
vertigoS64–267%-0.00
train—10–10%0.01

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,967Matches
49%Win rate
1.03Avg K/D
77.9ADR
38%Headshot %

Clutches & streaks

39%1v1 clutch win
21%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage32743%1.0015.0
Ancient22150%0.9714.9
Dust219255%1.0515.1
Inferno16850%1.0015.0
Anubis13846%0.9715.1
Nuke5551%0.9014.6
Overpass3551%1.0216.2
Train2576%1.0013.6

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.

13.6%Headshot accuracy
32.6%Accuracy (enemy spotted)
32.9%Spray accuracy
76.1%Counter-strafing
10.0°Preaim
552msReaction time
44.5%T opening success
24.5%CT opening success
0.65Enemies flashed / flash
8.9%Flash assists
6.83HE damage / grenade
12.11Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.598% — below the 15% mark we flag

    Aim Training →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 24.4588% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–7-0.0418%6 Nov →
inferno13–7-0.0014%6 Nov →
dust213–6-0.0213%6 Nov →
cache4–13-0.0517%5 Nov →
mirage14–16-0.038%5 Nov →
nuke13–11-0.057%4 Nov →
ancient16–14-0.0312%4 Nov →
cache13–40.0118%4 Nov →
dust211–13-0.0411%3 Nov →
mirage5–13-0.0311%2 Nov →
mirage8–13-0.1017%2 Nov →
dust213–7-0.024%2 Nov →
dust213–4-0.0212%2 Nov →
mirage13–10-0.0312%1 Nov →
anubis13–7-0.0113%1 Nov →
inferno15–150.0314%31 Oct →
inferno2–13-0.0717%30 Oct →
inferno9–7-0.055%26 Oct →
ancient7–130.036%25 Oct →
ancient5–13-0.0411%25 Oct →
cache13–8-0.0919%24 Oct →
ancient2–13-0.0612%24 Oct →
dust29–130.0121%24 Oct →
mirage13–90.0522%24 Oct →
anubis13–60.0219%24 Oct →
dust213–00.0117%24 Oct →
nuke15–15-0.0516%24 Oct →
mirage10–13-0.035%14 Oct →
vertigo13–6-0.0426%13 Oct →
nuke12–12-0.049%13 Oct →
dust213–4-0.0014%12 Oct →
nuke9–13-0.0313%11 Oct →
cache13–11-0.0213%10 Oct →
train12–120.0118%10 Oct →
nuke5–13-0.0412%25 Sept →
vertigo11–13-0.025%25 Sept →
mirage13–160.0317%25 Sept →
dust213–4-0.1010%25 Sept →
anubis8–130.0019%24 Sept →
dust210–13-0.0314%24 Sept →
vertigo11–130.0021%24 Sept →
vertigo13–30.0111%24 Sept →
vertigo13–90.0916%23 Sept →
cache3–130.0313%23 Sept →
dust213–40.0437%21 Sept →
mirage15–15-0.0023%21 Sept →
dust25–13-0.0425%21 Sept →
inferno13–80.0212%19 Sept →
anubis14–16-0.0318%18 Sept →
cache15–15-0.0816%18 Sept →
mirage7–13-0.0725%18 Sept →
dust213–11-0.0115%18 Sept →
mirage13–10.0313%17 Sept →
mirage15–15-0.0131%17 Sept →
anubis13–60.0032%17 Sept →
cache13–30.0125%17 Sept →
mirage11–130.0011%17 Sept →
anubis13–10-0.0120%16 Sept →
inferno11–13-0.0119%16 Sept →
dust28–13-0.0026%16 Sept →
dust213–70.0825%15 Sept →
dust25–130.0417%14 Sept →
inferno14–16-0.0217%14 Sept →
dust214–160.0819%14 Sept →
inferno12–12-0.0210%13 Sept →
dust213–90.0524%13 Sept →
ancient13–11-0.0616%13 Sept →
mirage13–8-0.0022%13 Sept →
dust213–9-0.0520%13 Sept →
nuke12–120.0023%13 Sept →
anubis12–12-0.0210%13 Sept →
mirage12–120.0214%12 Sept →
nuke13–9-0.0219%12 Sept →
cache13–100.0119%12 Sept →
dust213–11-0.0422%11 Sept →
inferno7–13-0.0617%11 Sept →
mirage13–50.0014%11 Sept →
mirage13–10-0.019%10 Sept →
dust211–13-0.0315%10 Sept →
mirage13–50.0425%10 Sept →
cache11–130.1119%10 Sept →
dust22–13-0.0311%10 Sept →
cache13–100.0428%10 Sept →
anubis10–13-0.0120%9 Sept →
nuke1–13-0.1014%9 Sept →
dust215–15-0.0422%9 Sept →
anubis13–10-0.0215%8 Sept →
dust29–13-0.0719%7 Sept →
ancient11–130.0116%7 Sept →
dust27–13-0.0822%7 Sept →
mirage6–13-0.0010%7 Sept →
dust213–6-0.0315%6 Sept →
dust22–13-0.0410%6 Sept →
mirage13–7-0.0311%6 Sept →
vertigo13–10-0.0714%6 Sept →
mirage15–15-0.0010%6 Sept →
nuke13–60.0924%6 Sept →
anubis13–50.1014%6 Sept →
inferno13–3-0.037%6 Sept →
mirage13–6-0.0410%6 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 →

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