ecto

ecto — CS2 Stats

76561198164758254[U:1:204492526]Steam profile ↗✓ No bans

1,148Tracked matches52%Win rate2025Tracked since
CSDB Rating6.7 SolidSupport
Premier CS Rating16,404Purple band · top ~22.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 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: 16,404 +3,626 4 Sept – 14 Oct · 33 days played
12,62317,313peak 17,3134 Sept14 Oct
17,598Peak Premier in tracked matches
35Days played since 2026-09-04

Premier CS Rating

  • 909 below peak (17,313)
  • +1,405 over 30 days · improving
  • Next: Pink band at 20,000 — 3,596 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-15
  • Blue band first seen 2026-09-15

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGectoPREMIER16,404 · Purple bandcsdb.gg/stats

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Performance scores

Aim73
Positioning61
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY47–44–9Last 10047%Win rateLWLWLLWTLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · +0.1pp headshot accuracy · +27ms 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 -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 656ms

Last 10

  • 4–5–1 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 20%
  • Avg reaction 627ms

Last 20

  • 8–11–1 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 613ms

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 (+1.1 against its own average).

Aim7.3
Utility6.6
Positioning6.1
Opening Duels3.8

Excellent counter-strafing

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 86% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: 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. 606ms 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

Aim7.3
Positioning6.1
Utility6.6
Mechanics8.5
Opening Duels5.0
Win Impact5.6

Composite 6.7/10 (Solid), 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-0.02−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time605ms−10ms
first ⅓ avg 615ms → last ⅓ avg 605ms
Headshot accuracy19.8%−1.9%
first ⅓ avg 21.7% → last ⅓ avg 19.8%

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

0.15Best match rating · 13–0 · anubis, 29 Sept →
50%Best headshot accuracy · 13–5 · anubis, 20 Sept →
367msFastest reaction time · 5–13 · cache, 15 Sept →
13–0Biggest win · anubis, 29 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–2In matches decided by ≤2 rounds
14Overtime games

Map breakdown

anubisBest map · 58% over 19infernoWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
nukeB2814–1450%-0.03
anubisA1911–858%0.00
cacheB178–947%-0.02
ancientB137–654%-0.01
infernoD71–614%-0.04
dust2B63–350%-0.00
trainD51–420%-0.04
mirage—21–150%-0.01
office—20–20%0.02
overpass—11–0100%0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

19.9%Headshot accuracy
32.3%Accuracy (enemy spotted)
36.8%Spray accuracy
88.4%Counter-strafing
9.9°Preaim
606msReaction time
56.2%T opening success
43.4%CT opening success
0.70Enemies flashed / flash
6.5%Flash assists
10.19HE damage / grenade
12.51Flashes / 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.

14% 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
nuke13–16-0.0214%14 Oct →
nuke13–7-0.0021%13 Oct →
inferno5–13-0.0822%11 Oct →
cache13–5-0.0323%11 Oct →
mirage9–130.0216%10 Oct →
inferno14–16-0.0436%7 Oct →
nuke13–4-0.0520%7 Oct →
nuke15–15-0.0223%6 Oct →
inferno7–13-0.0810%4 Oct →
anubis13–80.0115%4 Oct →
inferno7–13-0.0432%4 Oct →
dust25–13-0.0018%3 Oct →
cache13–11-0.0214%3 Oct →
nuke13–3-0.0215%1 Oct →
office8–110.0115%30 Sept →
ancient10–13-0.0119%29 Sept →
anubis13–00.1533%29 Sept →
anubis5–13-0.049%27 Sept →
nuke6–13-0.0419%27 Sept →
nuke13–10-0.0624%27 Sept →
inferno13–8-0.0410%27 Sept →
cache4–13-0.0421%26 Sept →
anubis12–12-0.0417%26 Sept →
overpass13–60.0020%26 Sept →
nuke13–110.0135%26 Sept →
anubis2–13-0.105%25 Sept →
dust213–3-0.0030%25 Sept →
cache13–100.0819%24 Sept →
dust216–14-0.0014%23 Sept →
office12–120.0224%22 Sept →
nuke15–15-0.0233%21 Sept →
anubis13–7-0.045%21 Sept →
dust215–15-0.0222%21 Sept →
mirage13–7-0.0424%21 Sept →
ancient13–100.0022%20 Sept →
anubis13–50.0150%20 Sept →
nuke4–13-0.0724%20 Sept →
anubis13–10.1228%20 Sept →
cache6–13-0.0814%20 Sept →
nuke13–50.0223%19 Sept →
dust28–130.0123%19 Sept →
inferno2–130.0022%18 Sept →
cache8–13-0.0610%18 Sept →
anubis13–11-0.0117%18 Sept →
cache3–13-0.0815%17 Sept →
anubis15–15-0.0135%17 Sept →
nuke13–11-0.0315%17 Sept →
nuke4–13-0.0435%16 Sept →
train9–13-0.0534%16 Sept →
nuke13–11-0.0343%16 Sept →
cache8–13-0.0525%15 Sept →
cache5–13-0.0925%15 Sept →
anubis13–100.0018%15 Sept →
cache13–70.0015%15 Sept →
ancient13–110.0227%14 Sept →
nuke13–11-0.0423%14 Sept →
train6–13-0.0628%14 Sept →
train1–13-0.0927%14 Sept →
ancient13–6-0.0413%13 Sept →
train10–13-0.0326%13 Sept →
nuke13–70.0024%13 Sept →
inferno8–13-0.0127%13 Sept →
ancient3–13-0.076%13 Sept →
anubis6–13-0.0329%12 Sept →
dust213–5-0.0235%12 Sept →
ancient16–13-0.0012%12 Sept →
nuke10–13-0.0241%12 Sept →
anubis13–7-0.0233%11 Sept →
anubis13–90.0018%11 Sept →
anubis13–30.0518%11 Sept →
ancient8–13-0.0113%11 Sept →
nuke7–13-0.0433%10 Sept →
anubis8–13-0.0515%10 Sept →
nuke13–9-0.069%10 Sept →
cache1–13-0.0322%10 Sept →
anubis7–130.0128%10 Sept →
nuke6–13-0.0735%9 Sept →
cache13–11-0.0512%9 Sept →
nuke6–13-0.109%9 Sept →
anubis16–14-0.0216%9 Sept →
train13–50.0217%9 Sept →
nuke6–13-0.0622%8 Sept →
ancient15–150.0321%8 Sept →
ancient13–6-0.0227%7 Sept →
ancient7–130.0012%7 Sept →
nuke15–15-0.0134%7 Sept →
cache16–130.0118%7 Sept →
nuke16–12-0.0125%7 Sept →
nuke10–4-0.0627%7 Sept →
nuke6–13-0.0331%6 Sept →
cache13–8-0.0128%6 Sept →
ancient13–60.0321%6 Sept →
cache13–40.0916%6 Sept →
ancient6–13-0.0417%6 Sept →
nuke15–150.0118%6 Sept →
cache10–13-0.0120%5 Sept →
anubis11–130.0222%5 Sept →
ancient13–10-0.0421%5 Sept →
cache4–13-0.0232%4 Sept →
nuke13–80.0327%4 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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