edog

edog — CS2 Stats

76561198200750529[U:1:240484801]Steam profile ↗✓ No bans

1,242Tracked matches64%Win rate2020Tracked since
CSDB Rating7.5 StrongPositional Player
Premier CS Rating14,393Blue band · top ~31.6% of ranked players (population est.)
FaceitLevel 8 · 1,489 ELOTop 31.2% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Oct 2026 (11 days ago). Ranks are recorded once per day this page is viewed.

−30Faceit ELO · 1,519 → 1,489

Rating over time

Premier CS Rating: 14,393 -1,945 9 Apr – 13 Sept · 8 days played
14,39316,338peak 16,3389 Apr13 Sept
16,338Peak Premier in tracked matches
1,519Highest Faceit ELO seen on CSDB
50Days played since 2026-04-09

Faceit ELO

  • 30 below peak (1,519)
  • Next: Level 8 at 1,531 — 42 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-01
  • Level 6 first seen 2026-09-01

Premier CS Rating

  • 1,945 below peak (16,338)
  • -493 over 90 days
  • Next: Purple band at 15,000 — 607 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. Faceit ELO is recorded after matches CSDB sees, so those points are days actually played — but only from the day tracking started: no feed exposes the ELO a past match ended on, so nothing before it can be backfilled.

Share this profile

CSDB.GGedogFACEITLevel 8 · 1,489 ELOSTANDINGTop 31.2% of rankedPREMIER14,393 · Blue bandPEAK ELO1,519csdb.gg/stats

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Performance scores

Aim93
Positioning67
Utility58

0–100 skill scores via Leetify.

Recent form

HOT50–43–7Last 10050%Win rateWLWWLWWWLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating · −2.7pp headshot accuracy · −48ms reaction

Win rate up 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

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 24%
  • Avg reaction 448ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 26%
  • Avg reaction 500ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 27%
  • Avg reaction 524ms

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 (+1.3 against its own average).

Aim9.3
Utility5.8
Positioning6.7
Opening Duels6.2
Clutch2.8

Sharp aimerExcellent counter-strafing

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

s1mple

Plays most like s1mple 93% playstyle similarity

Most alike: opening-duel success, 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

Strengths

Aim. Aim score of 93 — the mechanical foundation is a clear strength.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim9.3
Positioning6.7
Utility5.8
Mechanics8.6
Opening Duels6.6
Win Impact9.8

Composite 7.5/10 (Strong), 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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time546ms−94ms
first ⅓ avg 640ms → last ⅓ avg 546ms
Headshot accuracy29.8%+1.9%
first ⅓ avg 28.0% → last ⅓ avg 29.8%

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 · 13–6 · cache, 13 May →
73%Best headshot accuracy · 12–12 · nuke, 30 Jun →
359msFastest reaction time · 7–13 · ancient, 5 Oct →
13–0Biggest win · ancient, 4 Jun →

Across the last 100 tracked matches.

Highlights

4Longest win streak
10–1In matches decided by ≤2 rounds
5Overtime games

Map breakdown

cacheBest map · 58% over 24infernoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB2513–1252%0.01
cacheA2414–1058%0.02
dust2B1910–953%0.01
nukeA116–555%0.01
ancientB63–350%0.01
infernoD61–517%0.02
anubis—42–250%0.04
overpass—21–150%-0.01
office—10–10%-0.04
train—10–10%0.12
italy—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

358Matches
51%Win rate
1.04Avg K/D
87.9ADR
54%Headshot %

Clutches & streaks

34%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Ancient5358%1.1817.9
Mirage5153%1.1517.7
Dust25042%1.0317.8
Nuke2759%1.1618.1
Inferno1429%0.9917.4
Anubis1242%1.0416.2
Overpass1070%1.2220.5
Cache956%1.2918.2

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.

29.2%Headshot accuracy
36.9%Accuracy (enemy spotted)
35.7%Spray accuracy
88.9%Counter-strafing
7.6°Preaim
543msReaction time
55.3%T opening success
57.7%CT opening success
0.70Enemies flashed / flash
10.6%Flash assists
7.07HE damage / grenade
7.33Flashes / match

Recommended for you

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.

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–110.0126%7 Oct →
mirage7–13-0.0135%6 Oct →
mirage13–100.0525%6 Oct →
mirage13–110.0522%6 Oct →
ancient7–130.0114%5 Oct →
cache13–90.0927%3 Oct →
dust213–60.0135%3 Oct →
mirage13–110.0124%1 Oct →
dust212–160.0217%30 Sept →
dust213–110.0130%29 Sept →
cache10–130.0439%29 Sept →
inferno12–120.1128%28 Sept →
dust213–90.0326%28 Sept →
dust22–13-0.0625%27 Sept →
nuke16–140.0122%27 Sept →
nuke7–13-0.0021%13 Sept →
mirage16–130.0126%13 Sept →
mirage13–5-0.0538%10 Sept →
inferno3–13-0.0433%10 Sept →
mirage9–130.0024%9 Sept →
ancient13–20.1433%9 Sept →
mirage9–13-0.0317%9 Sept →
cache13–10-0.0524%9 Sept →
cache13–100.0628%9 Sept →
nuke13–10-0.0759%7 Sept →
inferno12–120.0234%6 Sept →
mirage13–5-0.0148%5 Sept →
inferno4–130.0146%1 Sept →
cache13–7-0.0039%1 Sept →
ancient13–30.0126%1 Sept →
mirage13–16-0.0325%30 Aug →
inferno3–13-0.0520%30 Aug →
office2–13-0.0447%30 Aug →
cache13–90.0219%26 Aug →
mirage13–90.0126%25 Aug →
nuke3–130.0152%25 Aug →
mirage2–13-0.0570%25 Aug →
nuke13–50.1041%24 Aug →
mirage9–130.0435%17 Aug →
anubis13–20.1030%17 Aug →
dust213–110.0131%17 Aug →
dust23–130.0252%10 Aug →
dust25–13-0.0162%10 Aug →
nuke16–140.0231%2 Aug →
dust213–7-0.0117%20 Jul →
mirage9–130.0755%16 Jul →
cache13–100.0251%16 Jul →
cache6–13-0.0141%16 Jul →
mirage10–130.0336%16 Jul →
anubis13–40.1041%16 Jul →
nuke13–7-0.0218%16 Jul →
mirage9–13-0.0429%15 Jul →
inferno13–70.0955%15 Jul →
cache5–13-0.0854%13 Jul →
cache7–130.0035%12 Jul →
dust212–12-0.0953%30 Jun →
train4–130.1255%30 Jun →
nuke12–12-0.0373%30 Jun →
italy10–13-0.0430%28 Jun →
mirage13–40.0458%28 Jun →
mirage2–130.0745%23 Jun →
mirage8–130.0839%23 Jun →
cache6–13-0.0438%8 Jun →
anubis7–13-0.0523%4 Jun →
ancient13–00.0622%4 Jun →
mirage13–110.0229%4 Jun →
nuke5–13-0.0536%4 Jun →
overpass7–130.0039%3 Jun →
dust213–30.0333%29 May →
dust213–40.0630%25 May →
cache13–60.1744%13 May →
cache2–130.0237%11 May →
cache13–110.1030%11 May →
cache13–60.0135%7 May →
cache12–120.0520%7 May →
cache13–10-0.0236%7 May →
cache13–100.0231%30 Apr →
cache13–11-0.0623%30 Apr →
cache12–12-0.0629%30 Apr →
cache5–130.0331%30 Apr →
cache12–120.0425%30 Apr →
cache13–6-0.0342%29 Apr →
cache13–30.1533%29 Apr →
ancient1–13-0.1023%28 Apr →
mirage13–30.0220%28 Apr →
overpass13–8-0.0218%26 Apr →
nuke9–130.0618%26 Apr →
dust27–130.0116%26 Apr →
mirage13–60.0121%23 Apr →
dust26–13-0.0711%22 Apr →
dust213–50.1328%22 Apr →
dust213–70.1328%22 Apr →
mirage13–100.0030%20 Apr →
nuke13–30.1250%19 Apr →
dust211–130.0237%19 Apr →
anubis10–130.0215%15 Apr →
ancient4–13-0.0929%10 Apr →
dust213–60.0124%10 Apr →
dust210–13-0.0519%9 Apr →
mirage10–130.0019%9 Apr →

Match data via Leetify.

Recent teammates

Milestones

1,000 MatchesAim 90+
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.