Elmo

Elmo — CS2 Stats

FI76561198044137435[U:1:83871707]Steam profile ↗✓ No bans

874Tracked matches50%Win rate2021Tracked since
CSDB Rating5.4 DevelopingAll-Rounder
Premier CS Rating18,648Purple band · top ~13.9% of ranked players (population est.)
CSDB Leaderboard#93468 of 231884 tracked
FaceitLevel 4 · 829 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Aug 2026 (44 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 26 days played since 4 May 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 18,648 +5,045 4 May7 Aug · 13 days played
12,50918,648peak 18,6484 May7 Aug
18,767Peak Premier in tracked matches
829Highest Faceit ELO seen on CSDB
26Days played since 2026-05-04

Faceit ELO

  • At peak — 829
  • Next: Level 4 at 901 72 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • At peak — 18,648
  • +3,100 over 30 days · improving
  • +4,539 over 90 days
  • Next: Pink band at 20,000 1,352 to go
  • Reached: Purple band · Blue band · Light Blue band

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

Share this profile

CSDB.GGElmoFACEITLevel 4 · 829 ELOSTANDINGTop 81.0% of rankedPREMIER18,648 · Purple bandPEAK ELO829csdb.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

Aim47
Positioning62
Utility61

0–100 skill scores via Leetify.

Recent form

COLD45469Last 10045%Win rateLWTLLWLWLL

Last 10 vs previous 10: −30pp win rate · −0.03 avg rating · −2.2pp headshot accuracy · −20ms reaction

Win rate down 30pp 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

  • 131 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 652ms

Last 10

  • 361 · 30% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 14%
  • Avg reaction 621ms

Last 20

  • 983 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 631ms

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: All-RounderNo style dimension stands clear of the others in this profile.

Aim4.7
Utility6.1
Positioning6.2
Opening Duels5.4
Clutch6.0

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.

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 65% 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

T-side openings. Opening success drops from 60% on CT to 38% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 629ms 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

Aim4.7
Positioning6.2
Utility6.1
Mechanics5.8
Opening Duels4.7
Win Impact5.0

Composite 5.4/10 (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-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time630ms+26ms
first ⅓ avg 604ms → last ⅓ avg 630ms
Headshot accuracy15.1%+0.6%
first ⅓ avg 14.5% → last ⅓ avg 15.1%

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

0.10Best match rating · 13–2 · anubis, 22 Jun
31%Best headshot accuracy · 12–12 · cache, 7 May
422msFastest reaction time · 8–13 · ancient, 25 Jun
13–2Biggest win · nuke, 30 Jun

Across the last 100 tracked matches.

Highlights

6Longest win streak
86In matches decided by ≤2 rounds
14Overtime games

Map breakdown

nukeBest map · 69% over 13ancientWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
dust2C2191243%-0.03
cacheC1971237%-0.01
nukeS139469%-0.00
ancientD1331023%-0.02
infernoA127558%0.00
mirageC114736%-0.01
anubisD62433%-0.02
overpass220100%-0.02
alpine1010%-0.00
warden110100%-0.02
vertigo110100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

50Matches
58%Win rate
1.16Avg K/D
91.7ADR
38%Headshot %

Clutches & streaks

50%1v1 clutch win
27%1v2 clutch win
6Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage1457%1.0314.8
Dust25100%1.4818.0
Cache450%1.2617.8
Ancient475%1.7213.0
Nuke475%1.1915.3
Inferno425%0.8912.5
Vertigo367%1.4018.7
Anubis20%1.1418.0

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.

15.1%Headshot accuracy
30.8%Accuracy (enemy spotted)
34.4%Spray accuracy
76.3%Counter-strafing
11.1°Preaim
629msReaction time
37.6%T opening success
59.9%CT opening success
0.55Enemies flashed / flash
6.7%Flash assists
7.26HE damage / grenade
9.77Flashes / 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 37.605% — 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.

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0410%7 Aug
nuke13–70.0312%7 Aug
dust215–150.0025%7 Aug
dust23–13-0.0620%6 Aug
dust26–13-0.0412%5 Aug
nuke16–13-0.0710%5 Aug
mirage12–16-0.0615%4 Aug
inferno13–90.0113%4 Aug
dust29–13-0.0326%29 Jul
anubis6–13-0.103%29 Jul
inferno13–90.0023%29 Jul
nuke14–160.0321%28 Jul
inferno11–130.0020%28 Jul
ancient15–150.0111%28 Jul
anubis15–15-0.0115%27 Jul
nuke13–11-0.0210%27 Jul
nuke16–12-0.0110%9 Jul
inferno13–50.0421%9 Jul
nuke13–50.0324%9 Jul
dust216–12-0.0812%9 Jul
dust213–10-0.059%9 Jul
inferno11–130.035%9 Jul
cache13–30.0614%9 Jul
ancient9–130.0412%9 Jul
mirage6–13-0.0111%8 Jul
alpine12–12-0.0025%8 Jul
warden8–1-0.0229%8 Jul
mirage11–130.028%8 Jul
inferno9–13-0.0022%8 Jul
cache13–80.0217%8 Jul
dust213–80.047%8 Jul
mirage3–13-0.0513%8 Jul
cache6–13-0.0215%8 Jul
mirage13–70.0115%7 Jul
mirage9–130.108%7 Jul
ancient13–5-0.0012%7 Jul
mirage13–9-0.0517%7 Jul
cache10–130.0215%7 Jul
cache13–90.047%7 Jul
ancient2–13-0.0622%7 Jul
cache8–13-0.057%7 Jul
overpass13–12-0.023%6 Jul
mirage13–9-0.0217%6 Jul
inferno13–90.0116%6 Jul
anubis13–8-0.065%6 Jul
mirage16–140.0418%6 Jul
ancient9–13-0.117%6 Jul
mirage4–13-0.078%5 Jul
anubis6–13-0.1018%5 Jul
dust23–13-0.0830%5 Jul
ancient1–13-0.0627%5 Jul
inferno13–100.0322%4 Jul
ancient2–13-0.1410%4 Jul
inferno13–50.0110%4 Jul
inferno11–13-0.0222%2 Jul
ancient15–15-0.0411%2 Jul
dust214–160.0212%2 Jul
dust213–100.0225%1 Jul
overpass16–14-0.0216%1 Jul
nuke7–13-0.0114%30 Jun
inferno13–4-0.059%30 Jun
nuke13–2-0.035%30 Jun
mirage9–13-0.0515%30 Jun
ancient13–70.0714%26 Jun
anubis9–130.0212%26 Jun
ancient9–130.029%26 Jun
nuke13–11-0.0113%25 Jun
ancient8–130.0414%25 Jun
inferno5–130.009%25 Jun
anubis13–20.1017%22 Jun
vertigo13–70.0316%22 Jun
nuke7–130.0311%22 Jun
ancient6–13-0.0213%22 Jun
cache3–130.029%20 May
nuke13–11-0.0519%18 May
dust25–13-0.0519%18 May
dust212–12-0.037%18 May
cache8–13-0.0614%8 May
dust29–13-0.053%7 May
cache12–12-0.0224%7 May
cache7–130.0417%7 May
cache13–20.0220%7 May
cache12–12-0.0131%7 May
dust210–13-0.0522%7 May
dust210–13-0.0010%6 May
cache7–2-0.0112%6 May
nuke16–130.0515%6 May
nuke10–130.0121%6 May
cache13–50.0413%6 May
dust213–11-0.0116%6 May
dust213–2-0.0116%5 May
dust213–4-0.0317%5 May
dust213–5-0.0413%5 May
dust22–13-0.029%5 May
ancient16–14-0.0217%4 May
dust213–2-0.020%4 May
cache7–13-0.0421%4 May
cache12–12-0.0514%4 May
cache13–8-0.0010%4 May
cache1–13-0.079%4 May

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →