Eshe — CS2 Stats

76561198372334994[U:1:412069266]

2,212Tracked matches38%Win rate2020Tracked since
10,580Hours in CS15Hrs last 2 wks
CSDB Rating4.8 DevelopingHybrid Rifler
FaceitLevel 9 · 1,990 ELOTop 20.7% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=1,109), 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 9 medianLevel 10 medianvs Level 10
Headshot rate48.2%49.0%52.0%3.8% short
Shot accuracy12.1%13.1%13.7%1.5% short
Kill/death ratio1.101.081.08meets
Match win rate44.8%46.9%48.8%4.0% short

This profile matches the typical Level 10 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGEsheFACEITLevel 9 · 1,990 ELOSTANDINGTop 20.7% of rankedcsdb.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

Aim64
Positioning53
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY43543Last 10043%Win rateWWWLWLTLLL

Last 10 vs previous 10: +0pp win rate · -0.02 avg rating

Player DNA

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

Aim6.4
Aggression7.5
Utility5.8
Positioning5.3
Opening Duels3.5
Clutch2.6

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

b1t

Plays most like b1t 90% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

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 52% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 632ms 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

Aim6.4
Positioning5.3
Utility5.8
Mechanics5.3
Opening Duels3.5
Win Impact1.0

Composite 4.8/10 (Developing), 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 rating0.00−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time646ms+17ms
first ⅓ avg 630ms → last ⅓ avg 646ms
Headshot accuracy27.4%+1.4%
first ⅓ avg 26.0% → last ⅓ avg 27.4%

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.

Highlights

0.29Best rating — inferno 9–2
131Biggest win — dust2
5Longest win streak
W3Current streak
314In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 71% over 7ancientWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2B44202445%0.01
mirageD1631319%-0.00
infernoB115645%0.05
anubisS75271%-0.03
overpassB63350%0.01
ancientD61517%0.00
cache42250%-0.02
nuke32167%0.01
train32167%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

270,144Lifetime kills
1.10K/D · Top 50% of Level 9 players
11,851Matches
44.8%Match win rate
48.2%Headshot %
12.1%Shot accuracy
36,300MVPs
5,406Hours (in match)
7,063Bombs planted
3,312Bombs defused

Most-used weapons

AK-4778,273
AWP59,023
SSG 085,065
Knife4,186
P2503,791
P903,147

Lifetime map wins

71,883dust2
16,288inferno
3,309vertigo
2,199nuke
1,481train
773cbble
35office
34dust

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

Faceit stats

Combat

2,947Matches
50%Win rate
1.15Avg K/D
88.7ADR
49%Headshot %

Clutches & streaks

33%1v1 clutch win
24%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust246756%1.2520.2
Anubis33247%1.1919.1
Mirage32745%1.0617.9
Inferno16044%1.1118.3
Ancient12747%1.0617.7
Vertigo8848%1.1318.1
Nuke7435%1.0217.0
Overpass4255%1.0017.4

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.

27.1%Headshot accuracy
31.2%Accuracy (enemy spotted)
34.5%Spray accuracy
73.6%Counter-strafing
10.3°Preaim
632msReaction time
35.7%T opening success
52.1%CT opening success
0.62Enemies flashed / flash
6.0%Flash assists
7.91HE damage / grenade
19.10Flashes / 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 35.6742% — 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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–4-0.0345%23 Aug
dust213–5-0.0131%23 Aug
dust213–10-0.0044%23 Aug
dust210–13-0.0619%23 Aug
dust213–50.0821%16 Aug
dust22–13-0.0433%15 Aug
dust212–12-0.0236%15 Aug
dust24–130.0129%24 Jul
dust211–130.0432%21 Jul
nuke1–11-0.037%12 Jul
dust213–90.0831%12 Jul
dust213–20.0225%24 Jun
mirage4–13-0.1025%24 Jun
dust213–90.0130%21 Jun
dust22–13-0.0726%14 Jun
dust213–11-0.0122%14 Jun
mirage9–130.0418%7 Jun
dust27–130.0629%31 May
inferno10–130.0432%29 May
inferno10–130.0331%29 May
cache11–13-0.0221%28 May
inferno11–130.0119%28 May
cache14–16-0.0325%27 May
dust23–130.0729%27 May
inferno8–130.0122%26 May
anubis13–5-0.0315%26 May
anubis13–16-0.0321%26 May
dust213–110.0233%25 May
dust213–60.0123%23 May
dust223–25-0.0029%21 May
cache13–100.0224%16 May
dust210–130.0438%10 May
anubis13–70.0438%7 May
dust213–4-0.0620%4 May
dust214–16-0.0320%3 May
mirage9–13-0.0722%3 May
dust223–25-0.0120%2 May
inferno13–90.0725%2 May
cache13–2-0.057%1 May
overpass13–10-0.0218%29 Apr
mirage9–130.0529%29 Apr
overpass14–16-0.0047%25 Apr
inferno10–00.0636%22 Apr
anubis13–5-0.0219%22 Apr
dust24–13-0.0629%22 Apr
anubis13–5-0.1120%22 Apr
anubis13–60.0032%20 Apr
overpass9–13-0.0326%19 Apr
dust213–50.0428%18 Apr
ancient13–70.0421%11 Apr
dust213–10-0.0124%11 Apr
ancient7–13-0.0520%5 Apr
mirage13–110.0424%5 Apr
inferno13–90.0328%30 Mar
dust215–19-0.0528%29 Mar
dust25–13-0.0125%29 Mar
mirage8–130.0213%29 Mar
dust213–10-0.0141%25 Mar
mirage10–13-0.0223%23 Mar
anubis4–13-0.0343%19 Mar
dust213–90.0822%22 Feb
nuke13–7-0.0014%19 Feb
dust213–50.0334%16 Feb
dust212–120.1038%13 Feb
dust29–13-0.0630%20 Jan
mirage7–130.0141%17 Jan
dust213–8-0.0254%17 Jan
mirage9–13-0.0223%4 Jan
inferno8–80.0627%1 Jan
dust213–1-0.0323%28 Dec
inferno13–10-0.0621%20 Dec
dust213–8-0.0543%16 Dec
dust210–130.0241%11 Dec
inferno9–20.2928%10 Dec
train13–60.0331%10 Dec
overpass13–20.0633%7 Dec
dust213–10.0225%7 Dec
overpass13–80.1238%7 Dec
dust211–130.0119%6 Dec
ancient6–130.0318%2 Dec
mirage11–13-0.0220%30 Nov
overpass5–13-0.0511%29 Nov
mirage11–13-0.0422%29 Nov
dust28–130.0226%28 Nov
ancient5–13-0.0328%26 Nov
ancient10–13-0.0027%25 Nov
nuke13–90.0640%17 Nov
mirage11–130.0215%2 Nov
ancient10–130.0315%30 Oct
inferno12–16-0.0527%27 Oct
train13–4-0.0211%26 Oct
mirage11–130.0521%26 Oct
dust25–130.0236%25 Oct
mirage13–10-0.0330%24 Oct
dust28–130.0526%19 Oct
dust23–13-0.0133%19 Oct
dust210–120.0428%19 Oct
mirage13–50.0317%15 Oct
mirage4–130.0032%11 Oct
train10–13-0.0422%9 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 →