dEg

dEg — CS2 Stats

SZ76561198987620920[U:1:1027355192]Steam profile ↗✓ No bans

265Tracked matches55%Win rate2021Tracked since
CSDB Rating5.3 DevelopingPositional Player
Premier CS Rating14,607Blue band · top ~30.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Jan 2026 (286 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: 14,607 +968 24 Nov – 16 Jan · 3 days played
13,63914,607peak 14,60724 Nov16 Jan
14,607Peak Premier in tracked matches
56Days played since 2025-01-23

Premier CS Rating

  • At peak — 14,607
  • Next: Purple band at 15,000 — 393 to go
  • Reached: 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.GGdEgPREMIER14,607 · Blue bandcsdb.gg/stats

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Performance scores

Aim68
Positioning48
Utility46

0–100 skill scores via Leetify.

Recent form

HOT41–52–7Last 10041%Win rateWLWWWWWLTW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating · +1.5pp headshot accuracy · +56ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.08
  • Avg headshot accuracy 23%
  • Avg reaction 667ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 662ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 634ms

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 (+1.1 against its own average).

Aim6.8
Utility4.6
Positioning4.8
Opening Duels1.9
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

iM

Plays most like iM 96% 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

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

Aim6.8
Positioning4.8
Utility4.6
Mechanics7.0
Opening Duels1.2
Win Impact6.7

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time629ms−9ms
first ⅓ avg 637ms → last ⅓ avg 629ms
Headshot accuracy23.2%+3.2%
first ⅓ avg 20.0% → last ⅓ avg 23.2%

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 · 13–10 · ancient, 20 Mar →
53%Best headshot accuracy · 3–13 · dust2, 31 Oct →
438msFastest reaction time · 2–13 · anubis, 11 Jul →
13–2Biggest win · anubis, 19 Jan →

Across the last 100 tracked matches.

Highlights

5Longest win streak
5–8In matches decided by ≤2 rounds
5Overtime games

Map breakdown

infernoBest map · 69% over 13mirageWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
dust2C208–1240%0.00
infernoS139–469%0.05
ancientA116–555%0.03
mirageD112–918%0.01
nukeD103–730%0.02
officeD93–633%0.03
anubisC73–443%0.01
overpassA74–357%0.02
vertigo—40–40%-0.00
train—32–167%0.01
agency—20–20%0.02
italy—21–150%0.07
edin—10–10%0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (18% over 11). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

23Matches
43%Win rate
1.45Avg K/D
94.0ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
38%1v2 clutch win
3Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust2633%1.3517.5
Mirage617%1.2421.5
Ancient560%1.2818.0
Inferno367%2.3823.7
Nuke2100%1.6017.5
Anubis10%1.0520.0

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.

23.4%Headshot accuracy
31.3%Accuracy (enemy spotted)
33.8%Spray accuracy
81.5%Counter-strafing
9.5°Preaim
629msReaction time
31.2%T opening success
38.7%CT opening success
0.63Enemies flashed / flash
2.7%Flash assists
7.59HE damage / grenade
8.12Flashes / 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 31.1775% — below the 40% mark we flag

Spend your practice time on Mirage

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust213–50.0820%19 Jan →
dust27–130.1116%19 Jan →
anubis13–20.1325%19 Jan →
overpass13–110.0441%16 Jan →
dust213–40.0213%12 Jan →
inferno13–7-0.0126%16 Dec →
overpass11–2-0.0015%6 Dec →
nuke7–130.0329%6 Dec →
overpass15–150.0229%4 Dec →
ancient13–80.0519%4 Dec →
overpass13–30.1127%24 Nov →
dust213–10-0.0016%24 Nov →
mirage8–130.0727%24 Nov →
dust211–130.0425%21 Nov →
dust25–13-0.0420%16 Nov →
overpass2–13-0.0721%8 Nov →
overpass16–14-0.0120%2 Nov →
ancient8–13-0.0320%1 Nov →
inferno13–80.0322%31 Oct →
nuke13–10-0.0120%31 Oct →
dust23–13-0.0553%31 Oct →
ancient11–13-0.0212%31 Oct →
inferno7–130.0525%31 Oct →
overpass10–130.0220%31 Oct →
train13–110.0222%30 Oct →
inferno13–70.1227%30 Oct →
mirage13–5-0.0120%30 Oct →
dust213–80.0120%28 Oct →
dust210–130.0131%26 Oct →
nuke8–130.0422%26 Oct →
ancient7–130.0422%25 Oct →
inferno13–80.0317%25 Oct →
mirage11–130.0621%19 Oct →
train11–13-0.0326%18 Oct →
mirage5–13-0.0617%11 Oct →
dust216–14-0.0218%11 Oct →
dust29–13-0.0741%10 Aug →
anubis2–13-0.0222%11 Jul →
dust27–13-0.0232%11 Jul →
ancient13–9-0.0116%11 Jul →
mirage2–13-0.0718%11 Jul →
nuke4–130.0325%7 Jul →
dust213–9-0.0416%7 Jul →
mirage12–120.0626%6 Jul →
inferno5–13-0.0326%6 Jul →
dust212–120.0129%4 Jul →
inferno3–90.0135%4 Jul →
ancient13–70.0716%3 Jul →
agency12–120.0724%3 Jul →
nuke13–5-0.0223%17 Jun →
inferno13–60.1615%16 Jun →
anubis6–13-0.0519%16 Jun →
ancient13–10-0.0021%16 Jun →
anubis13–3-0.0317%16 Jun →
inferno16–14-0.0217%16 Jun →
nuke13–160.0113%16 Jun →
mirage10–130.0026%12 Jun →
nuke9–130.0720%12 Jun →
agency7–13-0.0227%11 Jun →
vertigo5–130.0215%5 Jun →
nuke5–10.0725%5 Jun →
mirage5–130.0130%5 Jun →
mirage11–130.1227%3 Jun →
vertigo1–13-0.0318%1 Jun →
ancient2–13-0.0313%30 May →
anubis4–13-0.0520%28 May →
dust25–130.0116%28 May →
vertigo1–130.0226%28 May →
italy13–80.1218%28 May →
vertigo3–13-0.0130%27 May →
ancient13–100.0433%14 May →
inferno9–20.1419%9 May →
office11–130.0121%8 May →
inferno13–70.0616%8 May →
nuke8–130.0318%7 May →
inferno5–130.0519%6 May →
train13–90.0423%6 May →
dust213–80.0528%5 May →
mirage8–13-0.0221%5 May →
ancient12–120.0530%29 Apr →
edin10–130.0121%28 Apr →
office12–120.0125%28 Apr →
anubis11–13-0.0317%15 Apr →
dust27–130.0122%15 Apr →
mirage13–10-0.0113%15 Apr →
dust24–13-0.0120%9 Apr →
italy9–130.0320%21 Mar →
ancient13–100.1719%20 Mar →
nuke11–13-0.0223%20 Mar →
dust21–13-0.0710%18 Feb →
anubis13–60.1213%17 Feb →
inferno9–60.0614%17 Feb →
dust213–30.0624%10 Feb →
office9–130.0510%29 Jan →
office13–60.0615%28 Jan →
office12–120.0511%28 Jan →
office13–80.0620%27 Jan →
office6–130.0121%24 Jan →
office13–100.0416%24 Jan →
office8–13-0.0121%23 Jan →

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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