ElsterN

ElsterN — CS2 Stats

76561198018615822[U:1:58350094]Steam profile ↗✓ No bans

1,435Tracked matches59%Win rate2020Tracked since
CSDB Rating6.0 SolidSupport
FaceitLevel 9 · 2,073 ELOTop 20.7% of ranked FACEIT players
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (16 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,435 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,999 +3,316 3 Nov – 26 May · 14 days played
21,67524,999peak 24,9993 Nov26 May
Faceit ELO: 2,073 +0 3 Sept – 15 Sept · 2 observations
2,0732,073peak 2,0733 Sept15 Sept
24,999Peak Premier in tracked matches
2,073Highest Faceit ELO seen on CSDB
47Days played since 2025-11-03

Faceit ELO

  • At peak — 2,073
  • Next: 2,500 ELO at 2,500 — 427 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-03
  • Level 9 first seen 2026-09-03

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

Share this profile

CSDB.GGElsterNFACEITLevel 9 · 2,073 ELOSTANDINGTop 20.7% of rankedPEAK ELO2,073csdb.gg/stats

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Performance scores

Aim73
Positioning48
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY55–41–4Last 10055%Win rateLLWLLWWWLW

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · +4.5pp headshot accuracy · +69ms reaction

Win rate −10pp 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

  • 1–4 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 23%
  • Avg reaction 556ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 23%
  • Avg reaction 567ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 533ms

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 (+1.6 against its own average).

Aim7.3
Utility5.8
Positioning4.8
Opening Duels2.7
Clutch3.4

Strong T-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.

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

NiKo

Plays most like NiKo 88% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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. 590ms 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
Positioning4.8
Utility5.8
Mechanics6.8
Opening Duels1.5
Win Impact7.9

Composite 6.0/10 (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-0.01−0.02
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time581ms−58ms
first ⅓ avg 639ms → last ⅓ avg 581ms
Headshot accuracy22.3%−1.6%
first ⅓ avg 23.9% → last ⅓ avg 22.3%

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

0.12Best match rating · 13–8 · mirage, 6 Feb →
42%Best headshot accuracy · 13–9 · inferno, 4 Feb →
453msFastest reaction time · 16–14 · ancient, 14 Aug →
13–1Biggest win · nuke, 12 Mar →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
5–5In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 100% over 6infernoWeakest map · 37% over 19
MapGradePlayedRecordWin rateAvg rating
ancientC2912–1741%-0.00
infernoC197–1237%0.00
dust2A1610–663%-0.01
nukeS97–278%0.00
mirageA85–363%0.03
anubisA74–357%0.00
cacheS66–0100%-0.01
overpassA53–260%-0.01
train—11–0100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (37% over 19). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,184Matches
52%Win rate
1.11Avg K/D
78.8ADR
43%Headshot %

Clutches & streaks

37%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsWLWLW

MapMatchesWin rateAvg K/DAvg kills
Ancient5457%1.0815.8
Anubis3256%0.9814.7
Nuke2868%1.1014.4
Inferno1421%0.8615.8
Dust21354%1.4116.4
Overpass850%1.0514.9
Train540%0.9615.6
Mirage425%0.9915.8

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.

23.3%Headshot accuracy
32.1%Accuracy (enemy spotted)
32.0%Spray accuracy
80.8%Counter-strafing
8.6°Preaim
590msReaction time
39.4%T opening success
32.8%CT opening success
0.65Enemies flashed / flash
5.6%Flash assists
9.63HE damage / grenade
7.07Flashes / 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 39.4384% — below the 40% mark we flag

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.

37% win rate across 19 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno10–13-0.0315%26 Aug →
ancient8–130.0420%17 Aug →
inferno13–10-0.0323%16 Aug →
ancient13–160.0331%14 Aug →
nuke5–13-0.0425%14 Aug →
ancient16–14-0.0524%14 Aug →
ancient13–11-0.0417%7 Aug →
cache13–3-0.0123%7 Aug →
inferno8–130.0224%6 Aug →
nuke13–6-0.0328%6 Aug →
anubis13–9-0.0132%6 Aug →
cache13–5-0.0522%3 Aug →
ancient7–60.0423%3 Aug →
mirage0–2-0.030%22 Jul →
dust213–100.0126%21 Jul →
mirage13–90.0125%21 Jul →
dust22–13-0.107%21 Jul →
inferno4–13-0.0221%20 Jul →
anubis13–100.0114%14 Jul →
ancient11–13-0.0016%14 Jul →
dust213–30.0418%11 Jul →
dust215–15-0.0519%26 May →
inferno7–10-0.0219%23 May →
inferno6–13-0.0037%22 May →
nuke13–110.0114%20 May →
ancient13–5-0.0435%19 May →
inferno13–9-0.0026%13 May →
cache13–10-0.0925%13 May →
ancient7–13-0.0237%12 May →
mirage16–130.0430%12 May →
ancient2–13-0.0620%12 May →
nuke13–30.0217%12 May →
dust213–50.0524%12 May →
cache13–5-0.0433%12 May →
dust213–4-0.0528%8 May →
cache13–100.0429%7 May →
cache13–60.0735%7 May →
dust213–160.0224%7 May →
ancient13–110.0227%7 May →
inferno11–13-0.0429%24 Apr →
ancient3–13-0.0820%22 Apr →
inferno6–13-0.0322%15 Apr →
ancient13–70.0427%15 Apr →
dust20–13-0.0326%15 Apr →
inferno9–130.0823%15 Apr →
inferno13–90.0516%14 Apr →
dust213–60.0138%11 Apr →
ancient13–70.0119%11 Apr →
dust213–6-0.0433%22 Mar →
ancient11–130.0528%19 Mar →
inferno4–130.0141%19 Mar →
anubis9–130.0124%19 Mar →
ancient13–10-0.0517%12 Mar →
inferno11–13-0.075%12 Mar →
nuke13–10.0921%12 Mar →
anubis5–13-0.0426%6 Mar →
inferno13–100.0938%2 Mar →
mirage4–130.0820%2 Mar →
ancient5–13-0.0219%2 Mar →
dust213–60.0340%2 Mar →
ancient13–40.0220%20 Feb →
dust27–13-0.0617%19 Feb →
mirage6–13-0.0121%19 Feb →
ancient12–12-0.0114%19 Feb →
dust213–8-0.0221%11 Feb →
ancient6–13-0.0228%11 Feb →
nuke16–130.0324%11 Feb →
inferno16–13-0.0111%11 Feb →
ancient9–130.0431%6 Feb →
mirage13–80.1233%6 Feb →
dust210–130.0132%4 Feb →
ancient8–20.0424%4 Feb →
inferno13–90.0242%4 Feb →
anubis13–100.0529%4 Feb →
overpass13–90.0121%3 Feb →
ancient15–150.0319%3 Feb →
inferno13–6-0.0225%2 Feb →
ancient10–13-0.0318%29 Jan →
inferno6–130.0224%29 Jan →
ancient4–13-0.0211%29 Jan →
anubis13–90.0115%27 Jan →
ancient8–130.0118%27 Jan →
nuke13–5-0.0111%27 Jan →
nuke13–40.0314%22 Jan →
dust213–10-0.0235%20 Jan →
ancient13–1-0.0124%20 Jan →
overpass13–9-0.0126%20 Jan →
overpass13–10.0417%20 Jan →
ancient7–13-0.0435%20 Jan →
overpass4–13-0.077%15 Jan →
ancient13–40.0025%15 Jan →
mirage13–90.0327%13 Jan →
mirage13–4-0.0238%11 Jan →
anubis8–130.0020%7 Nov →
ancient3–130.0329%7 Nov →
train16–120.0121%7 Nov →
overpass6–13-0.0124%7 Nov →
inferno13–160.0125%3 Nov →
dust213–50.0828%3 Nov →
nuke8–8-0.0731%3 Nov →

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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