domar

domar — CS2 Stats

GI76561198063017990[U:1:102752262]Steam profile ↗VAC banned

2,194Tracked matches55%Win rate2023Tracked since
CSDB Rating5.9 SolidPositional Player
FaceitLevel 8 · 1,560 ELOTop 31.2% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 54 days played since 2 Apr 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 12,212 -504 2 Apr10 Jan · 26 days played
10,47813,440peak 13,4402 Apr10 Jan
13,791Peak Premier in tracked matches
1,560Highest Faceit ELO seen on CSDB
54Days played since 2025-04-02

Faceit ELO

  • At peak — 1,560
  • Next: Level 9 at 1,751 191 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5

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

Share this profile

CSDB.GGdomarFACEITLevel 8 · 1,560 ELOSTANDINGTop 31.2% of rankedPEAK ELO1,560csdb.gg/stats

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Performance scores

Aim71
Positioning66
Utility33

0–100 skill scores via Leetify.

Recent form

STEADY48484Last 10048%Win rateLWLWWWLLLW

Last 10 vs previous 10: −30pp win rate · −0.05 avg rating · −2.5pp headshot accuracy · +42ms reaction

Win rate down 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

  • 32 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 642ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 603ms

Last 20

  • 137 · 65% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 582ms

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 PlayerPositioning stands above the rest of this profile (+2.4 against its own average).

Aim7.1
Utility3.3
Positioning6.6
Opening Duels4.7
Clutch2.2

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 86% playstyle similarity

Most alike: positioning profile, utility contribution.

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

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

Reaction time. 578ms 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

Aim7.1
Positioning6.6
Utility3.3
Mechanics7.4
Opening Duels4.5
Win Impact6.7

Composite 5.9/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time578ms+12ms
first ⅓ avg 567ms → last ⅓ avg 578ms
Headshot accuracy22.0%+1.2%
first ⅓ avg 20.8% → last ⅓ avg 22.0%

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

0.16Best match rating · 7–13 · inferno, 3 Nov
54%Best headshot accuracy · 13–10 · nuke, 14 Apr
406msFastest reaction time · 13–9 · inferno, 11 Apr
13–3Biggest win · ancient, 16 Nov

Across the last 100 tracked matches.

Highlights

6Longest win streak
910In matches decided by ≤2 rounds
11Overtime games

Map breakdown

ancientBest map · 67% over 6infernoWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
mirageB23121152%-0.01
dust2B20101050%0.01
infernoD1651131%0.02
nukeB105550%0.01
anubisB84450%0.03
cacheB63350%-0.01
ancientS64267%-0.01
overpassB63350%0.04
agency21150%-0.05
train110100%0.03
rooftop1010%-0.09
office1010%-0.08

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

535Matches
50%Win rate
1.24Avg K/D
84.1ADR
43%Headshot %

Clutches & streaks

31%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage10647%1.1917.3
Anubis8349%1.1217.2
Inferno5252%1.2118.4
Ancient4542%1.1617.1
Dust23956%1.1216.7
Vertigo2650%1.2118.9
Nuke1573%1.2519.7
Overpass1050%1.0619.2

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.

21.0%Headshot accuracy
33.5%Accuracy (enemy spotted)
35.2%Spray accuracy
83.5%Counter-strafing
10.6°Preaim
578msReaction time
44.6%T opening success
51.6%CT opening success
0.38Enemies flashed / flash
5.7%Flash assists
6.84HE damage / grenade
8.46Flashes / 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 0.3812 — below the 0.5 mark we flag

    Grenade Lineups
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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache1–13-0.0916%14 Jul
cache13–60.0315%14 Jul
ancient0–13-0.0913%14 Jul
cache13–100.0421%10 Jul
cache13–80.0533%9 Jul
mirage13–9-0.0116%12 Jun
cache11–13-0.0635%4 Jun
inferno8–13-0.0415%14 May
cache8–13-0.0114%12 May
anubis13–110.0129%2 Feb
mirage13–100.0321%17 Jan
inferno19–17-0.0215%10 Jan
nuke13–100.0822%10 Jan
train13–80.0317%10 Jan
ancient13–11-0.0120%6 Jan
dust24–13-0.0522%6 Jan
mirage2–130.0236%3 Jan
dust213–40.0918%3 Jan
overpass13–100.0715%2 Jan
mirage13–50.1247%2 Jan
inferno5–13-0.0316%29 Dec
mirage5–13-0.0727%29 Dec
overpass6–130.0019%14 Dec
mirage13–5-0.0326%14 Dec
nuke13–11-0.0620%14 Dec
dust215–150.0813%10 Dec
inferno10–13-0.0031%9 Dec
overpass13–100.0324%7 Dec
mirage9–13-0.008%7 Dec
overpass14–160.1315%6 Dec
mirage13–11-0.0029%5 Dec
dust29–13-0.0718%3 Dec
inferno13–80.1438%3 Dec
mirage16–140.0519%3 Dec
nuke13–100.0021%1 Dec
inferno4–12-0.0220%24 Nov
overpass15–15-0.1019%18 Nov
inferno4–13-0.0014%18 Nov
dust213–80.0222%17 Nov
ancient13–30.056%16 Nov
mirage10–13-0.0515%16 Nov
mirage16–12-0.0116%12 Nov
dust213–5-0.0120%12 Nov
rooftop3–9-0.0917%12 Nov
mirage5–13-0.0317%4 Nov
inferno7–130.1633%3 Nov
mirage9–130.0834%3 Nov
mirage11–13-0.0820%30 Oct
dust24–13-0.0625%30 Oct
ancient13–9-0.0022%23 Oct
ancient11–13-0.0016%3 Jul
agency6–13-0.043%19 Jun
nuke6–130.0227%18 Jun
inferno8–13-0.0114%15 Jun
dust211–130.1216%15 Jun
overpass13–70.1114%15 Jun
agency13–5-0.0510%15 Jun
inferno13–80.0815%4 Jun
dust213–80.0713%4 Jun
dust214–16-0.0218%3 Jun
dust211–13-0.1219%27 May
mirage13–11-0.0611%27 May
nuke13–8-0.0414%26 May
dust213–60.0228%26 May
mirage13–10-0.0122%26 May
dust23–13-0.0920%8 May
mirage11–13-0.0630%6 May
dust213–10-0.0220%5 May
inferno8–13-0.0121%28 Apr
mirage16–14-0.0316%27 Apr
dust213–60.0929%27 Apr
inferno10–13-0.0517%25 Apr
anubis13–50.0117%25 Apr
anubis11–13-0.0219%25 Apr
inferno13–90.0514%23 Apr
mirage7–13-0.0716%23 Apr
nuke5–130.0317%23 Apr
mirage15–150.0222%16 Apr
inferno8–130.0620%16 Apr
anubis13–110.0215%16 Apr
dust27–13-0.067%15 Apr
anubis14–160.0316%15 Apr
mirage13–100.0320%15 Apr
mirage15–15-0.0126%14 Apr
nuke13–100.0654%14 Apr
anubis13–90.0225%14 Apr
nuke0–13-0.0319%14 Apr
ancient13–40.0219%14 Apr
mirage13–80.0420%13 Apr
nuke6–130.0138%13 Apr
anubis4–130.0016%13 Apr
dust213–100.0424%13 Apr
inferno13–90.0638%11 Apr
dust213–80.1419%11 Apr
nuke7–13-0.0120%10 Apr
anubis4–130.1418%10 Apr
inferno7–130.0325%8 Apr
office1–8-0.080%8 Apr
dust213–80.1020%8 Apr
dust25–13-0.0423%2 Apr

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 →