ellasofia

ellasofia — CS2 Stats

FI76561199828048459[U:1:1867782731]Steam profile ↗✓ No bans

854Tracked matches46%Win rate2025Tracked since
897Hours in CS35Hrs last 2 wks
CSDB Rating3.6 LearningSupport
Premier CS Rating14,310Blue band · top ~32.1% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−814Premier CS Rating · 15,124 → 14,310

Rating over time

Premier CS Rating: 14,310 +230 3 Sept – 4 Nov · 28 days played
12,20015,852peak 15,8523 Sept4 Nov
15,852Peak Premier in tracked matches
26Days played since 2026-09-03

Premier CS Rating

  • 1,542 below peak (15,852)
  • -690 over 30 days · declining
  • Next: Purple band at 15,000 — 690 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-23
  • Blue band first seen 2026-09-03

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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate34.6%42.0%44.4%9.7% short
Shot accuracy0.0%9.6%11.9%11.9% short
Kill/death ratio0.650.981.030.39 short
Match win rate46.0%43.8%45.2%meets

This profile matches the typical Purple band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGellasofiaPREMIER14,310 · Blue bandcsdb.gg/stats

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Performance scores

Aim48
Positioning21
Utility52

0–100 skill scores via Leetify.

Recent form

COLD50–48–2Last 10050%Win rateLLLWWLLLLT

Last 10 vs previous 10: −50pp win rate · −0.02 avg rating · −0.9pp headshot accuracy · −4ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 14%
  • Avg reaction 681ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 13%
  • Avg reaction 613ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 13%
  • Avg reaction 615ms

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 (+2.7 against its own average).

Aim4.8
Utility5.2
Positioning2.1
Opening Duels0.0
Clutch2.6

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 80% 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

Reaction time. 618ms 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

Aim4.8
Positioning2.1
Utility5.2
Mechanics5.0
Opening Duels0.0
Win Impact3.8

Composite 3.6/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time628ms+0ms
first ⅓ avg 628ms → last ⅓ avg 628ms
Headshot accuracy12.6%−3.8%
first ⅓ avg 16.4% → last ⅓ avg 12.6%

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

0.05Best match rating · 13–1 · ancient, 31 Oct →
38%Best headshot accuracy · 5–13 · dust2, 25 Sept →
445msFastest reaction time · 13–3 · cache, 1 Oct →
13–1Biggest win · ancient, 31 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
7–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 79% over 19dust2Weakest map · 13% over 15
MapGradePlayedRecordWin rateAvg rating
mirageC207–1335%-0.06
cacheS1915–479%-0.02
ancientA169–756%-0.03
dust2D152–1313%-0.05
nukeA117–464%-0.05
anubisS107–370%-0.04
infernoD93–633%-0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (13% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

12,827Lifetime kills
0.65K/D
1,309Matches
46.0%Match win rate · Top 50% of Blue band
34.6%Headshot %
0.0%Shot accuracy
1,461MVPs
511Hours (in match)
3,099Bombs planted
317Bombs defused

Most-used weapons

Lifetime map wins

2,833nuke
1,049dust2
1,038inferno
550train
25vertigo
2ar_shoots
1office

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

Faceit stats

Combat

3Matches
33%Win rate
0.79Avg K/D
57.6ADR
26%Headshot %

Clutches & streaks

33%1v1 clutch win
33%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.539.0
Nuke10%1.2117.0
Train1100%0.649.0

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.

13.0%Headshot accuracy
34.0%Accuracy (enemy spotted)
31.7%Spray accuracy
72.3%Counter-strafing
10.3°Preaim
618msReaction time
6.8%T opening success
14.6%CT opening success
0.57Enemies flashed / flash
12.3%Flash assists
6.94HE damage / grenade
5.92Flashes / 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 13.028% — below the 15% mark we flag

    Aim Training →
  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 6.8254% — below the 40% mark we flag

Spend your practice time on Dust 2

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

13% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–13-0.0515%4 Nov →
dust29–13-0.0613%4 Nov →
mirage6–13-0.039%4 Nov →
mirage13–7-0.059%3 Nov →
nuke13–6-0.0522%3 Nov →
ancient8–13-0.019%3 Nov →
anubis2–13-0.1111%3 Nov →
anubis9–13-0.0516%2 Nov →
cache7–13-0.0912%2 Nov →
ancient15–15-0.0514%2 Nov →
ancient13–8-0.0018%1 Nov →
ancient13–11-0.0625%1 Nov →
inferno7–13-0.068%1 Nov →
cache11–13-0.0320%31 Oct →
anubis13–11-0.0613%31 Oct →
ancient13–10.0511%31 Oct →
dust213–8-0.0215%31 Oct →
inferno13–6-0.067%30 Oct →
dust26–13-0.076%30 Oct →
ancient13–6-0.0014%30 Oct →
ancient13–10-0.0515%30 Oct →
nuke6–130.0318%30 Oct →
mirage4–13-0.109%30 Oct →
ancient13–8-0.0610%30 Oct →
anubis13–4-0.0312%30 Oct →
dust211–13-0.0513%30 Oct →
cache13–2-0.043%30 Oct →
nuke10–13-0.0311%30 Oct →
inferno15–15-0.0014%29 Oct →
mirage11–13-0.0312%29 Oct →
cache13–9-0.025%29 Oct →
nuke13–10-0.048%29 Oct →
mirage10–13-0.0323%28 Oct →
cache13–11-0.0212%28 Oct →
anubis13–8-0.068%28 Oct →
mirage13–60.0218%26 Oct →
mirage13–11-0.0320%26 Oct →
cache13–7-0.044%26 Oct →
mirage8–13-0.067%25 Oct →
inferno13–30.0220%25 Oct →
mirage9–13-0.0710%25 Oct →
ancient13–5-0.0114%25 Oct →
ancient9–13-0.039%23 Oct →
cache13–9-0.0524%23 Oct →
anubis13–80.0216%23 Oct →
cache13–10-0.017%21 Oct →
mirage2–13-0.0823%21 Oct →
inferno7–13-0.083%21 Oct →
mirage13–8-0.055%20 Oct →
dust28–13-0.0521%20 Oct →
dust213–10-0.0416%20 Oct →
dust28–13-0.1311%19 Oct →
anubis8–13-0.0510%19 Oct →
nuke11–13-0.0912%19 Oct →
dust211–13-0.0312%17 Oct →
inferno13–4-0.0513%17 Oct →
dust26–13-0.0722%17 Oct →
mirage13–110.018%17 Oct →
inferno5–13-0.070%17 Oct →
ancient5–13-0.044%17 Oct →
nuke13–8-0.0311%17 Oct →
mirage13–11-0.0211%16 Oct →
anubis13–6-0.0428%16 Oct →
inferno4–13-0.0820%16 Oct →
anubis13–8-0.0615%15 Oct →
cache13–5-0.0215%15 Oct →
dust24–13-0.1017%15 Oct →
ancient11–13-0.0326%15 Oct →
nuke13–10-0.065%13 Oct →
ancient13–10-0.0514%13 Oct →
dust27–13-0.0420%13 Oct →
ancient13–4-0.0619%12 Oct →
nuke13–6-0.083%12 Oct →
mirage14–16-0.107%12 Oct →
anubis13–60.0211%10 Oct →
dust29–13-0.0418%10 Oct →
mirage9–13-0.1122%10 Oct →
dust22–13-0.0224%8 Oct →
cache6–13-0.0217%8 Oct →
nuke13–10-0.1012%8 Oct →
cache10–13-0.0230%8 Oct →
mirage11–13-0.0629%6 Oct →
mirage13–7-0.0417%6 Oct →
nuke7–13-0.085%6 Oct →
mirage5–13-0.117%5 Oct →
cache16–12-0.0120%5 Oct →
cache13–20.0217%5 Oct →
nuke13–2-0.026%1 Oct →
mirage4–13-0.1511%1 Oct →
cache13–3-0.0210%1 Oct →
cache13–11-0.0716%1 Oct →
dust25–13-0.0238%25 Sept →
ancient4–13-0.0521%25 Sept →
cache13–20.0518%25 Sept →
dust23–13-0.0618%25 Sept →
cache16–13-0.0210%25 Sept →
ancient3–130.0113%25 Sept →
mirage4–13-0.0929%25 Sept →
cache13–10-0.0418%22 Sept →
cache13–8-0.0312%22 Sept →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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