[NK]Ellmega3

[NK]Ellmega3 — CS2 Stats

76561198984939142[U:1:1024673414]Steam profile ↗✓ No bans

213Tracked matches39%Win rate2021Tracked since
985Hours in CS5Hrs last 2 wks
CSDB Rating3.2 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim49
Positioning41
Utility31

0–100 skill scores via Leetify.

Recent form

COLD39–50–11Last 10039%Win rateLLTLWLWLWL

Last 10 vs previous 10: +30pp win rate · −0.00 avg rating · +2.9pp headshot accuracy · −87ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 1–3–1 · 20% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 18%
  • Avg reaction 528ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 527ms

Last 20

  • 3–15–2 · 15% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 570ms

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: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim4.9
Utility3.1
Positioning4.1
Opening Duels0.3

Strong CT-side openerLimited 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

Twistzz

Plays most like Twistzz 87% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim 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

T-side openings. Opening success drops from 40% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 596ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 57% 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

Aim4.9
Positioning4.1
Utility3.1
Mechanics1.5
Opening Duels1.2
Win Impact1.4

Composite 3.2/10 (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-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time603ms+21ms
first ⅓ avg 582ms → last ⅓ avg 603ms
Headshot accuracy16.2%+2.5%
first ⅓ avg 13.7% → last ⅓ avg 16.2%

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

0.17Best match rating · 13–3 · dust2, 21 May →
38%Best headshot accuracy · 13–4 · mirage, 27 Dec →
398msFastest reaction time · 13–9 · inferno, 11 Dec →
13–2Biggest win · ancient, 13 Oct →

Across the last 100 tracked matches.

Highlights

9Longest win streak
L2Current streak
5–5In matches decided by ≤2 rounds

Map breakdown

dust2Best map · 68% over 19infernoWeakest map · 27% over 15
MapGradePlayedRecordWin rateAvg rating
mirageC3212–2038%-0.03
nukeD289–1932%-0.02
dust2S1913–668%-0.03
infernoD154–1127%-0.03
ancient—31–233%-0.06
vertigo—10–10%-0.01
office—10–10%-0.05
anubis—10–10%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (27% over 15). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,813Lifetime kills
0.91K/D
1,453Matches
43.7%Match win rate
36.7%Headshot %
18.0%Shot accuracy · Top 10% of tracked players
4,564MVPs
374Hours (in match)
1,608Bombs planted
379Bombs defused

Most-used weapons

Lifetime map wins

2,417lake
1,257nuke
1,166inferno
665dust2
487vertigo
257cbble
177train
71office

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

15.8%Headshot accuracy
33.5%Accuracy (enemy spotted)
42.3%Spray accuracy
56.8%Counter-strafing
10.2°Preaim
596msReaction time
23.6%T opening success
39.5%CT opening success
0.51Enemies flashed / flash
2.5%Flash assists
9.77HE damage / grenade
3.24Flashes / 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. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.2425 — below the 4 mark we flag

    Grenade Lineups →
  2. 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 23.6264% — 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.

27% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage8–13-0.0724%21 Oct →
mirage9–13-0.0320%15 Oct →
mirage12–12-0.0619%14 Oct →
mirage8–13-0.0515%13 Oct →
ancient13–2-0.0414%13 Oct →
nuke5–13-0.0917%13 Oct →
dust213–6-0.0119%12 Oct →
mirage4–13-0.0511%21 May →
dust213–30.1724%21 May →
nuke2–13-0.0518%20 May →
nuke7–9-0.0417%16 Apr →
nuke6–90.0324%16 Apr →
ancient11–13-0.0414%16 Apr →
dust27–130.0116%24 Feb →
mirage2–13-0.0821%23 Feb →
mirage7–130.0414%23 Feb →
vertigo8–8-0.0115%23 Feb →
mirage11–13-0.016%20 Feb →
mirage6–13-0.0614%12 Feb →
nuke5–13-0.0712%24 Jan →
nuke13–70.1015%24 Jan →
mirage13–11-0.0017%23 Jan →
inferno12–12-0.027%23 Jan →
inferno0–13-0.0710%19 Jan →
nuke13–6-0.0310%19 Jan →
mirage8–13-0.0215%17 Jan →
mirage13–5-0.0517%16 Jan →
mirage13–2-0.0021%16 Jan →
mirage13–30.055%16 Jan →
mirage2–13-0.0526%10 Jan →
mirage13–70.0514%10 Jan →
mirage13–7-0.0621%10 Jan →
inferno3–13-0.0724%8 Jan →
dust21–13-0.0718%8 Jan →
mirage9–13-0.0417%7 Jan →
nuke13–60.0221%7 Jan →
nuke13–90.009%5 Jan →
mirage13–11-0.0330%5 Jan →
dust213–10-0.0419%4 Jan →
nuke13–9-0.0422%4 Jan →
dust213–4-0.025%4 Jan →
dust213–8-0.0515%4 Jan →
mirage13–50.0416%3 Jan →
mirage13–7-0.0318%31 Dec →
nuke3–70.028%31 Dec →
mirage5–13-0.0233%28 Dec →
nuke12–12-0.0818%28 Dec →
nuke13–30.0623%28 Dec →
office12–12-0.0516%28 Dec →
dust24–13-0.0721%28 Dec →
nuke4–13-0.0222%27 Dec →
mirage13–4-0.0338%27 Dec →
nuke6–13-0.0811%27 Dec →
inferno6–13-0.0019%27 Dec →
nuke8–70.0724%27 Dec →
nuke8–13-0.0125%27 Dec →
mirage8–13-0.0422%27 Dec →
nuke13–6-0.0713%26 Dec →
dust213–9-0.0411%26 Dec →
mirage9–13-0.0618%26 Dec →
mirage12–12-0.0612%26 Dec →
dust29–13-0.0523%26 Dec →
mirage8–13-0.0220%26 Dec →
inferno8–13-0.0410%26 Dec →
dust213–9-0.094%26 Dec →
inferno13–40.058%26 Dec →
mirage13–30.0424%26 Dec →
dust213–8-0.015%26 Dec →
dust213–7-0.0119%24 Dec →
dust213–8-0.026%23 Dec →
nuke12–120.0222%23 Dec →
mirage10–13-0.0913%23 Dec →
dust213–9-0.0614%21 Dec →
dust213–5-0.0618%21 Dec →
inferno6–13-0.0419%21 Dec →
nuke12–12-0.0511%18 Dec →
nuke13–90.0223%18 Dec →
inferno11–13-0.038%16 Dec →
nuke6–13-0.038%16 Dec →
anubis7–13-0.0813%16 Dec →
nuke8–80.1027%15 Dec →
nuke5–9-0.1715%14 Dec →
inferno8–13-0.080%12 Dec →
inferno13–90.029%11 Dec →
nuke9–13-0.0610%11 Dec →
inferno13–11-0.047%10 Dec →
nuke3–13-0.066%10 Dec →
dust213–5-0.0227%10 Dec →
mirage12–12-0.0113%10 Dec →
nuke13–11-0.0112%8 Dec →
inferno12–12-0.029%8 Dec →
dust26–13-0.068%7 Dec →
inferno3–13-0.0427%7 Dec →
inferno2–13-0.0812%7 Dec →
nuke6–13-0.089%6 Dec →
dust24–13-0.0021%6 Dec →
mirage7–13-0.0625%6 Dec →
inferno13–7-0.0314%29 Nov →
mirage13–11-0.0311%28 Nov →
ancient8–13-0.1014%22 Nov →

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 →

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