「ESKO」エスコ

「ESKO」エスコ — CS2 Stats

CK76561199406857167[U:1:1446591439]Steam profile ↗✓ No bans

2,610Tracked matches46%Win rate2023Tracked since
1,999Hours in CS
CSDB Rating5.1 DevelopingSupport
Premier CS Rating16,089Purple band · top ~24.1% of ranked players (population est.)
WingmanGold Nova II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

−2156Premier CS Rating · 18,245 → 16,089

Rating over time

Premier CS Rating: 16,089 -186 12 Sept – 6 Nov · 18 days played
16,08921,911peak 21,91112 Sept6 Nov
22,387Peak Premier in tracked matches
15Days played since 2026-09-12

Premier CS Rating

  • 5,822 below peak (21,911)
  • -2,416 over 30 days · declining
  • Next: Pink band at 20,000 — 3,911 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-12
  • Blue band first seen 2026-09-12

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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate41.9%44.4%46.9%5.0% short
Shot accuracy0.9%11.9%13.0%12.1% short
Kill/death ratio0.981.031.080.10 short
Match win rate49.9%45.2%46.7%above

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

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

Share this profile

CSDB.GG「ESKO」エスコPREMIER16,089 · Purple bandcsdb.gg/stats

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Performance scores

Aim51
Positioning53
Utility55

0–100 skill scores via Leetify.

Recent form

COLD55–42–3Last 10055%Win rateWLLLLLLTLW

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · +0.6pp headshot accuracy · −55ms reaction

Win rate down 20pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 628ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 618ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 645ms

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 against its own average).

Aim5.1
Utility5.5
Positioning5.3
Opening Duels3.2
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

m0NESY

Plays most like m0NESY 74% 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. 616ms 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

Aim5.1
Positioning5.3
Utility5.5
Mechanics6.0
Opening Duels3.9
Win Impact3.8

Composite 5.1/10 (Developing), 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-0.02−0.02
first ⅓ avg -0.00 → last ⅓ avg -0.02
Reaction time617ms+5ms
first ⅓ avg 612ms → last ⅓ avg 617ms
Headshot accuracy16.4%+0.8%
first ⅓ avg 15.6% → last ⅓ avg 16.4%

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 · 13–3 · dust2, 10 Oct →
33%Best headshot accuracy · 13–3 · mirage, 14 Oct →
383msFastest reaction time · 0–4 · dust2, 18 Oct →
13–1Biggest win · mirage, 30 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
10–6In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 70% over 10ancientWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
dust2B2613–1350%-0.02
mirageA1912–763%-0.01
infernoB168–850%-0.02
anubisA117–464%-0.02
cacheB115–645%-0.03
nukeS107–370%-0.00
ancientC73–443%-0.01

Across the last 100 tracked matches.

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

Lifetime stats

73,906Lifetime kills
0.98K/D
4,647Matches
49.9%Match win rate · Top 25% of Purple band
41.9%Headshot %
0.9%Shot accuracy
10,341MVPs
1,999Hours (in match)
6,618Bombs planted
1,365Bombs defused

Most-used weapons

AK-4724,640
MP95,752
MAC-105,250
AWP2,234
Knife1,361
FAMAS1,040

Lifetime map wins

7,565inferno
7,010dust2
6,404nuke
2,548vertigo
1,090train
107office
57italy
9ar_shoots

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

Faceit stats

Combat

295Matches
51%Win rate
1.07Avg K/D
79.1ADR
45%Headshot %

Clutches & streaks

41%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Ancient5448%1.0415.2
Anubis5050%1.1215.1
Nuke4760%1.2617.1
Inferno4353%1.1015.4
Mirage4238%0.9315.3
Dust22642%0.8614.0
Cache1267%0.9612.4
Train1060%1.1514.8

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.

16.5%Headshot accuracy
33.8%Accuracy (enemy spotted)
34.8%Spray accuracy
77.0%Counter-strafing
12.5°Preaim
616msReaction time
41.9%T opening success
49.1%CT opening success
0.52Enemies flashed / flash
7.1%Flash assists
5.64HE damage / grenade
16.44Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 12.476° — above the 12° mark we flag

    Aim Training →
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.

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

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke13–10-0.0416%6 Nov →
dust210–13-0.0721%6 Nov →
inferno11–13-0.0524%6 Nov →
inferno11–13-0.0215%6 Nov →
dust23–130.0523%6 Nov →
anubis1–13-0.1210%6 Nov →
dust26–13-0.0713%6 Nov →
mirage15–15-0.0320%6 Nov →
cache5–13-0.0112%6 Nov →
anubis16–130.0018%6 Nov →
dust28–1-0.0515%6 Nov →
cache13–5-0.028%5 Nov →
mirage16–140.0119%3 Nov →
nuke9–130.0819%3 Nov →
mirage3–13-0.0827%3 Nov →
dust23–130.0022%3 Nov →
dust23–13-0.0723%3 Nov →
ancient3–13-0.0811%3 Nov →
inferno5–13-0.006%30 Oct →
inferno16–14-0.0016%30 Oct →
mirage13–10.0523%30 Oct →
ancient13–70.0116%30 Oct →
nuke15–15-0.0415%22 Oct →
inferno13–16-0.038%21 Oct →
anubis13–11-0.0315%21 Oct →
cache3–13-0.0717%21 Oct →
anubis13–50.017%21 Oct →
mirage13–4-0.0124%21 Oct →
cache13–80.0016%21 Oct →
mirage13–110.0215%21 Oct →
cache14–16-0.0214%20 Oct →
mirage13–10-0.0811%20 Oct →
inferno13–7-0.0123%20 Oct →
dust24–13-0.080%18 Oct →
dust20–4-0.0425%18 Oct →
cache5–13-0.0516%18 Oct →
dust24–13-0.078%16 Oct →
dust27–13-0.0910%16 Oct →
nuke13–7-0.0129%16 Oct →
inferno11–13-0.0220%16 Oct →
cache2–13-0.0714%15 Oct →
cache13–10-0.0315%15 Oct →
dust21–13-0.0917%15 Oct →
dust213–11-0.0517%15 Oct →
dust213–40.0225%15 Oct →
mirage16–140.0126%14 Oct →
mirage7–13-0.0421%14 Oct →
ancient11–13-0.0411%14 Oct →
mirage13–6-0.019%14 Oct →
cache13–7-0.0019%14 Oct →
dust213–70.0112%14 Oct →
inferno6–13-0.0421%14 Oct →
inferno16–14-0.0125%14 Oct →
nuke16–13-0.0111%14 Oct →
mirage10–130.0121%14 Oct →
nuke13–8-0.0411%14 Oct →
mirage13–30.0133%14 Oct →
mirage3–13-0.0516%14 Oct →
nuke13–80.0631%14 Oct →
dust22–13-0.0916%13 Oct →
anubis13–4-0.0011%13 Oct →
ancient13–110.0213%13 Oct →
inferno13–100.0018%13 Oct →
inferno16–130.0024%13 Oct →
mirage13–9-0.0213%13 Oct →
anubis13–50.0014%13 Oct →
anubis13–10-0.0521%13 Oct →
anubis8–130.0712%12 Oct →
inferno12–16-0.0710%12 Oct →
dust213–80.0517%12 Oct →
dust215–15-0.009%12 Oct →
dust213–5-0.033%12 Oct →
mirage13–11-0.0328%12 Oct →
anubis13–3-0.026%12 Oct →
ancient6–130.0131%12 Oct →
dust213–40.0425%12 Oct →
mirage13–30.0810%12 Oct →
nuke4–13-0.0110%12 Oct →
mirage8–13-0.0013%12 Oct →
mirage13–1-0.0514%12 Oct →
dust213–7-0.0512%12 Oct →
inferno13–5-0.037%12 Oct →
cache7–13-0.0418%12 Oct →
dust213–11-0.0113%12 Oct →
dust29–13-0.048%12 Oct →
anubis2–7-0.0526%11 Oct →
cache13–4-0.0014%11 Oct →
ancient4–13-0.0417%11 Oct →
inferno13–80.0315%11 Oct →
mirage11–13-0.0328%11 Oct →
ancient13–30.0513%11 Oct →
dust213–40.0410%11 Oct →
dust213–9-0.068%11 Oct →
dust213–30.0517%11 Oct →
anubis7–13-0.0417%11 Oct →
inferno1–13-0.0931%10 Oct →
nuke13–6-0.0116%10 Oct →
inferno13–50.0616%10 Oct →
nuke13–60.0023%10 Oct →
dust213–30.1121%10 Oct →

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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