EDOMER

EDOMER — CS2 Stats

BT76561198202349452[U:1:242083724]Steam profile ↗✓ No bans

1,160Tracked matches55%Win rate2020Tracked since
1,790Hours in CS
CSDB Rating5.5 SolidSupport
Premier CS Rating13,665Blue band · top ~35.5% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 19 Oct 2026 (26 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 1,160 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,665 -1,346 2 Jun – 19 Oct · 19 days played
12,21615,678peak 15,6782 Jun19 Oct
15,705Peak Premier in tracked matches
27Days played since 2024-06-02

Premier CS Rating

  • 2,013 below peak (15,678)
  • 0 over 30 days · steady
  • Next: Purple band at 15,000 — 1,335 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-15
  • Light Blue band first seen 2026-09-15

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

Compare periods

Last 30 days vs previous 30

No matches recorded between 19 Oct 2026 and 14 Nov 2026.

Measured 19 Oct 2026 → 14 Nov 2026; previous 15 Sep 2026 → 19 Oct 2026.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), 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 4 medianLevel 5 medianvs Level 5
Headshot rate44.7%42.7%43.8%above
Shot accuracy18.7%11.2%12.0%above
Kill/death ratio0.930.991.020.09 short
Match win rate29.0%43.9%44.7%15.7% short

This profile matches the typical Level 5 player on 2 of 4 comparable metrics.

Widest gap: Match win rate. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGEDOMERFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER13,665 · Blue 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

Aim47
Positioning59
Utility83

0–100 skill scores via Leetify.

Recent form

STEADY44–54–2Last 10044%Win rateWWWLLWLLWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · −3.5pp headshot accuracy · −4ms reaction

Win rate up 20pp 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 13%
  • Avg reaction 712ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 15%
  • Avg reaction 694ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 17%
  • Avg reaction 696ms

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: Support — Utility contribution stands above the rest of this profile (+3.9 against its own average).

Aim4.7
Utility8.3
Positioning5.9
Opening Duels3.6
Clutch0.0

High utility contribution

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 57% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Strengths

Utility. Utility score of 83 — grenade impact well above the norm.

Areas to improve

Reaction time. 687ms 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

Aim4.7
Positioning5.9
Utility8.3
Mechanics6.6
Opening Duels2.9
Win Impact6.7

Composite 5.5/10 (Solid), 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 0.02 → last ⅓ avg 0.03
Reaction time704ms+28ms
first ⅓ avg 676ms → last ⅓ avg 704ms
Headshot accuracy18.1%+0.5%
first ⅓ avg 17.6% → last ⅓ avg 18.1%

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

0.19Best match rating · 13–6 · dust2, 21 Jun →
50%Best headshot accuracy · 0–13 · inferno, 23 Aug →
469msFastest reaction time · 9–13 · anubis, 21 Jun →
13–0Biggest win · mirage, 22 Mar →

Across the last 100 tracked matches.

Highlights

4Longest win streak
W3Current streak
9–9In matches decided by ≤2 rounds
6Overtime games

Map breakdown

trainBest map · 86% over 7infernoWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
mirageB2512–1348%0.03
anubisB209–1145%0.00
dust2B157–847%0.04
nukeC135–838%0.01
trainS76–186%0.03
infernoD50–50%-0.04
ancient—41–325%-0.01
overpass—41–325%0.02
mills—21–150%-0.00
vertigo—20–20%-0.06
thera—22–0100%0.07
italy—10–10%-0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

108,312Lifetime kills
0.93K/D
3,881Matches
29.0%Match win rate
44.7%Headshot % · Top 50% of Level 4 players
18.7%Shot accuracy · Top 10% of Level 4 players
5,637MVPs
1,790Hours (in match)
3,134Bombs planted
646Bombs defused

Most-used weapons

Lifetime map wins

2,939inferno
1,885dust2
1,769nuke
363vertigo
164train
103office
39safehouse
36lake

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

Faceit stats

Combat

556Matches
50%Win rate
1.08Avg K/D
83.4ADR
40%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%1.2217.5
Anubis1100%0.9415.0

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.

17.2%Headshot accuracy
32.3%Accuracy (enemy spotted)
32.9%Spray accuracy
79.6%Counter-strafing
11.4°Preaim
687msReaction time
41.9%T opening success
41.1%CT opening success
0.65Enemies flashed / flash
10.1%Flash assists
12.47HE damage / grenade
14.46Flashes / 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–70.0114%5 Jul →
dust213–60.1210%5 Jul →
anubis13–9-0.0014%5 Jul →
mirage11–13-0.0312%20 Jun →
nuke8–13-0.0116%20 Jun →
train13–110.0113%20 Jun →
dust26–13-0.0228%20 Jun →
anubis9–130.0512%20 Jun →
anubis13–90.0118%23 May →
mirage13–7-0.0313%23 May →
nuke13–80.0717%23 May →
nuke11–130.0115%20 Apr →
dust213–50.1317%20 Apr →
train10–130.0219%20 Apr →
anubis13–110.0216%19 Apr →
mirage6–13-0.0415%5 Apr →
train13–60.0320%5 Apr →
anubis10–13-0.0216%5 Apr →
nuke15–150.0316%5 Apr →
mirage11–13-0.0333%5 Apr →
nuke16–140.0024%28 Mar →
inferno11–130.0012%28 Mar →
dust213–100.0423%28 Mar →
nuke5–13-0.0217%28 Mar →
mirage16–130.0425%28 Mar →
anubis13–11-0.0114%22 Mar →
train13–20.0829%22 Mar →
anubis13–11-0.027%22 Mar →
dust25–130.1020%22 Mar →
nuke14–160.0113%22 Mar →
mirage13–00.1821%22 Mar →
mirage10–130.0635%22 Feb →
dust213–60.1324%22 Feb →
anubis8–130.0215%22 Feb →
train13–100.0420%22 Nov →
train13–9-0.0211%22 Nov →
train13–20.0616%22 Nov →
anubis9–13-0.0113%22 Nov →
dust27–130.0222%25 Oct →
ancient5–13-0.0616%25 Oct →
mirage13–1-0.0136%25 Oct →
anubis6–13-0.0220%25 Oct →
overpass10–13-0.0220%25 Oct →
dust213–110.0226%18 Oct →
inferno10–13-0.0212%18 Oct →
mirage11–130.0422%18 Oct →
mills10–130.0222%4 Oct →
overpass5–13-0.0111%4 Oct →
italy3–13-0.0130%4 Oct →
anubis4–13-0.0115%4 Oct →
vertigo2–13-0.0914%4 Oct →
dust25–130.0118%4 Oct →
mirage8–13-0.0313%4 Oct →
dust24–13-0.0719%4 Oct →
mirage8–130.0918%4 Oct →
nuke13–90.0222%20 Sept →
mirage13–40.1533%20 Sept →
ancient13–80.0213%20 Sept →
inferno10–13-0.0418%20 Sept →
dust26–130.0220%20 Sept →
anubis13–11-0.0211%31 Aug →
anubis11–130.0111%31 Aug →
mirage8–13-0.059%31 Aug →
nuke13–50.0520%31 Aug →
nuke5–13-0.0311%23 Aug →
inferno0–13-0.1350%23 Aug →
mirage11–130.0311%23 Aug →
nuke13–80.1325%26 Jul →
mirage13–30.0422%26 Jul →
dust25–13-0.0615%26 Jul →
mirage12–120.0023%20 Jul →
anubis9–130.0719%12 Jul →
overpass13–00.1327%12 Jul →
mirage13–70.0419%12 Jul →
thera13–50.1022%12 Jul →
nuke6–130.0219%12 Jul →
mills13–10-0.0210%29 Jun →
thera13–10.0318%29 Jun →
mirage13–50.0520%29 Jun →
anubis13–9-0.029%29 Jun →
overpass6–13-0.0215%22 Jun →
anubis7–13-0.0414%22 Jun →
mirage6–13-0.0216%22 Jun →
ancient6–130.0220%21 Jun →
anubis13–100.0917%21 Jun →
dust213–60.1922%21 Jun →
anubis9–130.0425%21 Jun →
mirage9–130.0615%15 Jun →
inferno4–13-0.038%15 Jun →
nuke3–13-0.0921%14 Jun →
ancient5–130.0019%14 Jun →
mirage13–80.1313%14 Jun →
dust24–13-0.0412%14 Jun →
vertigo3–13-0.0324%8 Jun →
mirage13–50.0222%8 Jun →
anubis3–13-0.096%8 Jun →
dust216–140.008%7 Jun →
anubis16–14-0.0311%7 Jun →
mirage13–30.0125%7 Jun →
mirage11–13-0.0719%2 Jun →

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.