LegendaryEgel

LegendaryEgel — CS2 Stats

CU76561198017950433[U:1:57684705]Steam profile ↗✓ No bans

2,235Tracked matches46%Win rate2020Tracked since
5,053Hours in CS26Hrs last 2 wks
CSDB Rating6.7 SolidPositional Player
Premier CS Rating22,335Top 50% of 215,386 CSDB-tracked playersPink band · top ~5.9% of ranked players (population est.)
CSDB Leaderboard#52888 of 261643 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Nov 2026 (4 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.

Rating over time

Premier CS Rating: 22,335 -1,990 20 Aug – 11 Nov · 16 days played
21,98225,100peak 25,10020 Aug11 Nov
25,100Peak Premier in tracked matches
28Days played since 2026-08-20

Premier CS Rating

  • 2,765 below peak (25,100)
  • -1,425 over 30 days · declining
  • -1,990 over 90 days
  • Next: Red band at 25,000 — 2,665 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-03
  • Pink band first seen 2026-09-03

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

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,525), 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 8 medianLevel 9 medianvs Level 9
Headshot rate58.6%46.8%48.2%above
Shot accuracy14.2%13.0%13.2%above
Kill/death ratio1.101.061.07above
Match win rate45.9%46.3%46.9%1.0% short

This profile matches the typical Level 9 player on 3 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLegendaryEgelFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER22,335 · Pink bandcsdb.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

Aim84
Positioning63
Utility54

0–100 skill scores via Leetify.

Recent form

COLD42–51–7Last 10042%Win rateLLLWLLWWLT

Last 10 vs previous 10: −20pp win rate · −0.03 avg rating · +0.2pp headshot accuracy · −20ms reaction

Win rate down 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

  • 1–4 · 20% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 597ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 23%
  • Avg reaction 584ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 595ms

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 (+1.5 against its own average).

Aim8.4
Utility5.4
Positioning6.3
Opening Duels3.7
Clutch3.6

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 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution.

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. 564ms 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

Aim8.4
Positioning6.3
Utility5.4
Mechanics6.6
Opening Duels5.7
Win Impact3.8

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time567ms+24ms
first ⅓ avg 542ms → last ⅓ avg 567ms
Headshot accuracy21.8%−5.0%
first ⅓ avg 26.8% → last ⅓ avg 21.8%

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 · 13–1 · nuke, 8 Oct →
67%Best headshot accuracy · 3–1 · nuke, 12 Sept →
406msFastest reaction time · 12–12 · inferno, 5 Sept →
13–1Biggest win · train, 17 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
7–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

nukeBest map · 56% over 9cacheWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
dust2C2310–1343%0.00
mirageB209–1145%0.01
anubisC146–843%0.01
infernoD103–730%0.04
nukeA95–456%0.03
ancientC83–538%0.00
cacheD81–713%0.03
overpass—22–0100%0.01
train—21–150%0.07
vertigo—21–150%0.07
fachwerk—10–10%0.13
shelter—11–0100%-0.04

Across the last 100 tracked matches.

Lifetime stats

137,774Lifetime kills
1.10K/D · Top 50% of Level 8 players
6,569Matches
45.9%Match win rate
58.6%Headshot % · Top 10% of Level 8 players
14.2%Shot accuracy · Top 50% of Level 8 players
16,076MVPs
3,295Hours (in match)
7,905Bombs planted
2,105Bombs defused

Most-used weapons

AK-4749,217
AWP8,304
FAMAS4,917
P2501,952
MP91,510

Lifetime map wins

15,012dust2
13,050inferno
8,965nuke
1,201train
1,187cbble
1,073vertigo
161office
98assault

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

Faceit stats

Combat

544Matches
51%Win rate
1.07Avg K/D
75.3ADR
54%Headshot %

Clutches & streaks

38%1v1 clutch win
16%1v2 clutch win
6Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2548%1.0414.1
Anubis1765%1.1414.8
Dust21662%1.0114.1
Inferno1145%1.0616.3
Nuke956%1.0914.4
Ancient633%0.7412.5
Cache540%1.0517.4
Overpass2100%0.9112.5

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.

21.9%Headshot accuracy
36.0%Accuracy (enemy spotted)
42.5%Spray accuracy
79.5%Counter-strafing
8.3°Preaim
564msReaction time
55.2%T opening success
50.3%CT opening success
0.50Enemies flashed / flash
4.1%Flash assists
9.13HE damage / grenade
14.16Flashes / 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

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

    Enemies flashed per flash 0.4961 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis8–130.0615%12 Nov →
dust23–13-0.0320%12 Nov →
anubis2–13-0.0421%12 Nov →
dust213–100.0532%11 Nov →
inferno5–13-0.0518%11 Nov →
ancient11–13-0.0222%11 Nov →
mirage13–40.0136%11 Nov →
overpass13–90.0024%11 Nov →
anubis7–130.0232%9 Nov →
dust215–15-0.0511%9 Nov →
nuke9–130.1440%9 Nov →
anubis16–140.0229%8 Nov →
dust213–30.0521%8 Nov →
mirage13–100.0529%8 Nov →
mirage13–70.0419%8 Nov →
dust211–13-0.0426%8 Nov →
nuke5–13-0.0822%8 Nov →
inferno11–130.0111%8 Nov →
dust212–120.0615%8 Nov →
mirage13–11-0.0018%8 Nov →
mirage3–130.0012%6 Nov →
anubis13–110.0225%6 Nov →
ancient13–9-0.0114%6 Nov →
mirage13–5-0.0115%6 Nov →
anubis7–13-0.0323%5 Nov →
cache10–130.0123%5 Nov →
anubis8–130.0234%5 Nov →
dust26–13-0.0825%5 Nov →
anubis16–120.0214%5 Nov →
dust213–9-0.0413%5 Nov →
anubis9–13-0.0321%29 Oct →
mirage13–100.0624%29 Oct →
anubis13–9-0.0416%29 Oct →
inferno5–130.0521%29 Oct →
cache9–130.0628%27 Oct →
mirage9–130.0520%19 Oct →
dust27–130.0636%19 Oct →
cache13–160.0322%18 Oct →
train13–10.0638%17 Oct →
vertigo13–110.1019%17 Oct →
dust213–90.1024%16 Oct →
cache10–13-0.0618%16 Oct →
inferno13–110.0539%16 Oct →
mirage10–130.0032%16 Oct →
mirage3–13-0.0726%12 Oct →
nuke13–10.1735%8 Oct →
dust210–13-0.0225%6 Oct →
ancient6–13-0.0516%6 Oct →
inferno7–130.1018%6 Oct →
ancient11–130.0125%14 Sept →
nuke9–130.0333%14 Sept →
mirage1–13-0.0528%14 Sept →
dust26–130.0121%13 Sept →
mirage10–13-0.0324%13 Sept →
nuke5–13-0.0436%13 Sept →
mirage13–10-0.0227%13 Sept →
dust211–13-0.0031%13 Sept →
cache13–90.1426%13 Sept →
inferno8–130.0426%13 Sept →
nuke13–60.0730%12 Sept →
cache5–13-0.0525%12 Sept →
nuke3–1-0.0267%12 Sept →
mirage11–13-0.0225%11 Sept →
inferno2–130.0427%10 Sept →
fachwerk10–130.1331%10 Sept →
mirage12–120.0546%10 Sept →
dust213–5-0.0223%10 Sept →
ancient12–120.0125%10 Sept →
mirage3–130.0321%6 Sept →
dust23–13-0.0821%6 Sept →
shelter13–3-0.0421%6 Sept →
anubis5–130.0336%5 Sept →
dust213–90.0834%5 Sept →
inferno12–120.0732%5 Sept →
mirage13–60.1143%5 Sept →
ancient9–130.0122%1 Sept →
mirage11–13-0.0125%1 Sept →
dust213–70.0234%31 Aug →
overpass13–40.0122%31 Aug →
anubis6–130.0026%31 Aug →
mirage13–100.0831%30 Aug →
dust213–9-0.0517%30 Aug →
inferno13–100.0024%30 Aug →
cache7–13-0.0023%30 Aug →
mirage4–13-0.0612%30 Aug →
ancient13–90.0427%30 Aug →
vertigo12–120.0413%30 Aug →
dust213–60.0339%29 Aug →
nuke13–90.0138%29 Aug →
ancient13–60.0328%29 Aug →
dust27–13-0.0121%29 Aug →
nuke13–10-0.0518%29 Aug →
anubis13–80.0627%29 Aug →
inferno13–70.0735%28 Aug →
train4–130.0737%28 Aug →
cache12–120.0829%28 Aug →
dust213–110.1226%28 Aug →
dust210–13-0.0330%20 Aug →
anubis13–50.0226%20 Aug →
dust23–13-0.0324%20 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.