eco

eco — CS2 Stats

TH76561198236507466[U:1:276241738]Steam profile ↗✓ No bans

2,285Tracked matches54%Win rate2020Tracked since
3,651Hours in CS13Hrs last 2 wks
CSDB Rating5.6 SolidHybrid Rifler
Premier CS Rating20,000Top 50% of 44,590 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#22948 of 60961 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=3,003), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate57.5%47.0%48.4%above
Shot accuracy9.5%12.8%13.2%3.7% short
Kill/death ratio1.181.071.08above
Match win rate49.8%46.4%47.0%above

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGecoFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER20,000 · Pink bandcsdb.gg/stats

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Performance scores

Aim73
Positioning51
Utility53

0–100 skill scores via Leetify.

Recent form

STEADY47494Last 10047%Win rateLLWTWWLLWL

Last 10 vs previous 10: -10pp win rate · +0.04 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim7.3
Aggression4.6
Utility5.3
Positioning5.1
Opening Duels1.3
Clutch3.8

Strong 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.

Your pro match

NiKo

Plays most like NiKo 87% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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

T-side openings. Opening success drops from 47% on CT to 23% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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
Positioning5.1
Utility5.3
Mechanics4.2
Opening Duels2.1
Win Impact6.2

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 rating0.00+0.00
first ⅓ avg -0.00 → last ⅓ avg 0.00
Reaction time515ms−62ms
first ⅓ avg 577ms → last ⅓ avg 515ms
Headshot accuracy31.9%+2.1%
first ⅓ avg 29.8% → last ⅓ avg 31.9%

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.

Highlights

0.14Best rating — dust2 13–4
131Biggest win — inferno
5Longest win streak
L2Current streak
47In matches decided by ≤2 rounds
10Overtime games

Map breakdown

anubisBest map · 82% over 11ancientWeakest map · 27% over 11
MapGradePlayedRecordWin rateAvg rating
mirageC2181338%-0.01
dust2C1871139%0.01
infernoA1710759%-0.00
nukeB136746%0.03
anubisS119282%0.03
ancientD113827%-0.00
cacheA53260%-0.03
overpass2020%-0.01
vertigo1010%-0.02
train110100%0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (27% over 11). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

88,132Lifetime kills
1.18K/D · Top 50% of Level 8 players
4,453Matches
49.8%Match win rate · Top 25% of Level 8 players
57.5%Headshot % · Top 25% of Level 8 players
9.5%Shot accuracy
11,536MVPs
1,901Hours (in match)
6,285Bombs planted
1,468Bombs defused

Most-used weapons

Lifetime map wins

6,857inferno
5,097nuke
4,169dust2
2,929vertigo
1,027train
165cbble
68lake
62shorttrain

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

Faceit stats

Combat

676Matches
51%Win rate
1.19Avg K/D
84.9ADR
61%Headshot %

Clutches & streaks

39%1v1 clutch win
26%1v2 clutch win
9Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage9243%1.0514.1
Inferno5068%1.4317.0
Ancient4648%1.3516.5
Anubis3847%0.9812.9
Vertigo3863%1.2015.8
Dust22839%1.1015.9
Nuke2737%1.2817.6
Overpass1060%0.9716.1

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.

32.8%Headshot accuracy
27.8%Accuracy (enemy spotted)
32.2%Spray accuracy
69.1%Counter-strafing
10.1°Preaim
503msReaction time
23.4%T opening success
46.8%CT opening success
0.67Enemies flashed / flash
3.0%Flash assists
7.40HE damage / grenade
16.54Flashes / 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

    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 23.3586% — below the 40% mark we flag

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.

27% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust211–13-0.0035%29 Aug
nuke10–130.0644%29 Aug
anubis16–130.0540%29 Aug
anubis15–150.0124%28 Aug
inferno13–10-0.0238%28 Aug
anubis13–40.1329%27 Aug
nuke11–130.1044%27 Aug
inferno7–13-0.0429%26 Aug
mirage13–40.0444%26 Aug
nuke13–160.0133%26 Aug
dust215–15-0.0136%21 Aug
mirage8–130.0128%21 Aug
dust27–13-0.0032%20 Aug
ancient5–13-0.0122%20 Aug
anubis13–90.0028%20 Aug
mirage13–70.0027%20 Aug
cache13–3-0.0329%18 Aug
dust213–6-0.0638%18 Aug
dust213–60.0934%16 Aug
ancient8–13-0.0743%15 Aug
dust213–50.0839%13 Aug
inferno13–60.0226%13 Aug
ancient13–90.0026%12 Aug
mirage13–110.0130%8 Aug
dust28–13-0.0333%8 Aug
ancient6–13-0.0320%8 Aug
inferno12–16-0.0719%8 Aug
nuke16–120.0231%7 Aug
mirage10–13-0.0133%5 Aug
inferno13–3-0.0153%5 Aug
mirage1–6-0.110%1 Aug
nuke7–13-0.0040%31 Jul
inferno8–13-0.0524%31 Jul
ancient5–13-0.0637%31 Jul
mirage6–13-0.0628%30 Jul
dust211–13-0.0529%30 Jul
anubis13–80.1033%29 Jul
cache4–13-0.0143%29 Jul
inferno13–100.0125%28 Jul
mirage3–130.0132%28 Jul
dust28–13-0.0438%28 Jul
mirage13–20.1036%27 Jul
inferno13–80.0226%27 Jul
mirage13–90.0327%27 Jul
inferno13–100.0540%27 Jul
mirage7–13-0.0228%27 Jul
inferno13–10.1252%27 Jul
nuke13–60.0450%26 Jul
dust213–70.1027%26 Jul
anubis13–110.0330%26 Jul
nuke13–50.1136%26 Jul
inferno15–150.0028%25 Jul
mirage11–130.0133%24 Jul
ancient13–90.1131%24 Jul
mirage15–15-0.0420%22 Jul
dust210–13-0.0627%22 Jul
ancient7–130.0328%20 Jul
dust213–10.0552%20 Jul
anubis13–6-0.0239%20 Jul
inferno13–90.0429%20 Jul
nuke2–13-0.0533%20 Jul
nuke13–11-0.0021%20 Jul
cache13–60.0021%19 Jul
overpass9–13-0.0255%19 Jul
inferno5–13-0.0530%18 Jul
inferno2–130.0427%18 Jul
ancient1–13-0.0321%18 Jul
dust213–40.1433%18 Jul
mirage9–13-0.0534%18 Jul
mirage7–130.0522%18 Jul
ancient13–80.0524%18 Jul
cache9–13-0.0713%17 Jul
mirage3–13-0.0548%17 Jul
cache16–12-0.0232%15 Jul
dust29–13-0.0539%15 Jul
mirage10–13-0.0228%14 Jul
vertigo10–13-0.0229%14 Jul
train13–70.0130%13 Jul
nuke7–13-0.0341%13 Jul
inferno13–8-0.0427%12 Jul
mirage13–80.0130%12 Jul
anubis13–6-0.0513%12 Jul
ancient6–13-0.0222%12 Jul
mirage13–80.0431%11 Jul
dust28–13-0.0424%11 Jul
inferno8–13-0.0527%11 Jul
inferno13–40.0239%11 Jul
anubis13–50.0339%11 Jul
nuke9–130.0833%11 Jul
mirage10–13-0.0324%11 Jul
nuke13–20.0131%11 Jul
dust24–13-0.0244%10 Jul
mirage13–7-0.0418%10 Jul
nuke13–10.0338%10 Jul
dust213–60.0543%6 Jul
anubis13–11-0.0131%6 Jul
dust211–13-0.0137%6 Jul
ancient6–130.0122%6 Jul
overpass14–16-0.0019%6 Jul
anubis11–130.0220%4 Jul

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 →