Elmo

Elmo — CS2 Stats

76561199031463696[U:1:1071197968]Steam profile ↗✓ No bans

294Tracked matches67%Win rate2020Tracked since
CSDB Rating3.4 LearningSupport
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 10 Sep 2026 (13 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 294 tracked matches. 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. 27 days played since 29 Mar 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,550 -191 19 Jun21 Jun · 2 days played
21,55021,741peak 21,74119 Jun21 Jun
21,741Peak Premier in tracked matches
27Days played since 2026-03-29

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

Share this profile

CSDB.GGElmoFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim31
Positioning26
Utility36

0–100 skill scores via Leetify.

Recent form

HOT63307Last 10063%Win rateWWWLLWLWWW

Last 10 vs previous 10: +20pp win rate · +0.00 avg rating · +5.4pp headshot accuracy · +2ms reaction

Win rate up 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

  • 32 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 710ms

Last 10

  • 73 · 70% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 19%
  • Avg reaction 678ms

Last 20

  • 128 · 60% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 677ms

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: SupportUtility contribution stands above the rest of this profile (+2.1 against its own average).

Aim3.1
Utility3.6
Positioning2.6
Opening Duels0.0
Clutch0.0

Limited utility dependence

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 76% 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 24% on CT to 8% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 683ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% 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

Aim3.1
Positioning2.6
Utility3.6
Mechanics3.0
Opening Duels0.0
Win Impact10.0

Composite 3.4/10 (Learning), 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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time675ms+21ms
first ⅓ avg 654ms → last ⅓ avg 675ms
Headshot accuracy17.2%−3.5%
first ⅓ avg 20.8% → last ⅓ avg 17.2%

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 · 8–13 · mirage, 21 May
43%Best headshot accuracy · 13–10 · anubis, 26 Apr
430msFastest reaction time · 13–7 · train, 21 Jun
13–0Biggest win · nuke, 15 Jul

Across the last 100 tracked matches.

Highlights

9Longest win streak
W3Current streak
44In matches decided by ≤2 rounds
2Overtime games

Map breakdown

vertigoBest map · 80% over 5cacheWeakest map · 50% over 10
MapGradePlayedRecordWin rateAvg rating
mirageS2819968%-0.02
infernoA1610663%-0.04
nukeB137654%-0.04
cacheB105550%-0.05
ancientA95456%-0.03
dust2B84450%-0.04
trainS86275%-0.03
vertigoS54180%-0.03
anubis330100%-0.06

Across the last 100 tracked matches.

Faceit stats

Combat

36Matches
47%Win rate
0.92Avg K/D
50.5ADR
31%Headshot %

Clutches & streaks

20%1v1 clutch win
50%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.549.0
Ancient10%0.539.0
Anubis1100%0.6210.0
Dust210%1.3117.0

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.

17.8%Headshot accuracy
30.7%Accuracy (enemy spotted)
35.4%Spray accuracy
63.5%Counter-strafing
12.7°Preaim
683msReaction time
8.2%T opening success
23.6%CT opening success
0.49Enemies flashed / flash
3.2%Flash assists
9.21HE damage / grenade
4.15Flashes / 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 12.7378° — above the 12° mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4948 — below the 0.5 mark we flag

    Grenade Lineups

Recent matches

MapScoreRatingHS%Date
mirage13–10-0.1010%9 Aug
inferno13–7-0.0826%9 Aug
inferno13–4-0.0317%9 Aug
dust23–50.0624%26 Jul
ancient9–13-0.0517%26 Jul
mirage13–40.0127%18 Jul
nuke10–13-0.0819%15 Jul
inferno13–7-0.0135%15 Jul
cache16–14-0.0811%15 Jul
mirage13–6-0.068%15 Jul
cache6–13-0.1129%15 Jul
mirage13–30.008%15 Jul
mirage13–10-0.0615%15 Jul
nuke13–00.039%15 Jul
mirage6–0-0.080%15 Jul
ancient11–13-0.0319%15 Jul
mirage7–13-0.0610%8 Jul
inferno10–13-0.0619%8 Jul
nuke10–13-0.0719%30 Jun
mirage13–5-0.0213%30 Jun
nuke13–8-0.0617%30 Jun
ancient13–5-0.0335%28 Jun
train13–2-0.0710%28 Jun
nuke13–50.0414%28 Jun
mirage13–6-0.1022%28 Jun
dust26–13-0.0925%28 Jun
mirage13–3-0.0215%28 Jun
mirage13–1-0.0117%28 Jun
cache10–13-0.086%23 Jun
train13–8-0.0624%23 Jun
vertigo13–7-0.0012%21 Jun
mirage13–60.0219%21 Jun
inferno13–5-0.0117%21 Jun
mirage10–13-0.0226%21 Jun
nuke2–5-0.080%21 Jun
nuke9–13-0.047%21 Jun
mirage11–13-0.0215%21 Jun
train13–7-0.0712%21 Jun
inferno13–6-0.0713%19 Jun
train13–40.0517%19 Jun
mirage13–10.0416%19 Jun
ancient16–120.0316%19 Jun
inferno13–4-0.0711%19 Jun
mirage13–0-0.0417%19 Jun
cache11–13-0.0221%19 Jun
ancient13–7-0.0432%17 Jun
inferno13–50.0113%17 Jun
nuke13–4-0.0210%17 Jun
inferno13–11-0.079%17 Jun
inferno8–13-0.0328%16 Jun
mirage7–13-0.0211%16 Jun
train13–0-0.0023%11 Jun
ancient13–60.0031%11 Jun
cache13–9-0.0023%11 Jun
mirage13–50.0818%11 Jun
inferno12–12-0.0217%11 Jun
mirage9–13-0.0617%9 Jun
nuke13–2-0.0110%9 Jun
inferno10–0-0.0933%9 Jun
vertigo13–7-0.0629%9 Jun
cache13–6-0.0215%9 Jun
anubis13–4-0.1217%8 Jun
mirage13–2-0.1019%8 Jun
ancient13–7-0.0113%8 Jun
train13–7-0.0519%8 Jun
mirage13–90.0432%8 Jun
mirage7–13-0.0917%25 May
cache13–9-0.0228%25 May
nuke13–7-0.0410%24 May
vertigo13–40.0623%21 May
dust212–12-0.0324%21 May
mirage8–130.1032%21 May
train12–120.0214%20 May
ancient4–13-0.0516%17 May
inferno12–12-0.0416%16 May
nuke13–9-0.0131%16 May
train10–13-0.0611%15 May
mirage13–9-0.0317%15 May
dust213–11-0.0126%15 May
cache13–9-0.0718%15 May
mirage10–13-0.0613%15 May
cache9–13-0.0329%15 May
mirage1–8-0.0429%15 May
anubis13–5-0.0732%15 May
cache12–12-0.0319%14 May
dust213–5-0.096%14 May
anubis13–10-0.0043%26 Apr
dust213–9-0.0435%26 Apr
inferno12–12-0.0712%26 Apr
ancient2–13-0.0523%26 Apr
mirage13–7-0.0230%26 Apr
nuke3–13-0.0911%26 Apr
vertigo6–13-0.0733%26 Apr
vertigo13–7-0.0816%26 Apr
nuke10–13-0.0419%9 Apr
dust21–13-0.080%9 Apr
dust213–11-0.0614%8 Apr
inferno13–60.0818%8 Apr
mirage13–30.0229%8 Apr
inferno12–12-0.078%29 Mar

Match data via Leetify.

Recent teammates

Milestones

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