dom

dom — CS2 Stats

76561198010979025[U:1:50713297]Steam profile ↗✓ No bans

828Tracked matches56%Win rate2023Tracked since
2,257Hours in CS
CSDB Rating6.2 SolidAll-Rounder
WingmanSupreme Master First Class
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 1 Sep 2026 (75 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 828 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,634 +519 12 Nov – 5 Jul · 26 days played
20,51323,104peak 23,10412 Nov5 Jul
23,104Peak Premier in tracked matches
1,967Highest Faceit ELO seen on CSDB
48Days played since 2025-11-12

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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CSDB.GGdomPEAK ELO1,967csdb.gg/stats

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Performance scores

Aim69
Positioning59
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY49–42–9Last 10049%Win rateLWLWLWWTWT

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · −0.7pp headshot accuracy · −75ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 483ms

Last 10

  • 5–3–2 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 19%
  • Avg reaction 496ms

Last 20

  • 10–7–3 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 20%
  • Avg reaction 534ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.9
Utility6.3
Positioning5.9
Opening Duels5.9
Clutch4.2

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

device

Plays most like device 88% 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

T-side openings. Opening success drops from 54% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim6.9
Positioning5.9
Utility6.3
Mechanics6.0
Opening Duels3.8
Win Impact7.0

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time528ms−18ms
first ⅓ avg 546ms → last ⅓ avg 528ms
Headshot accuracy19.3%−0.1%
first ⅓ avg 19.4% → last ⅓ avg 19.3%

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

0.11Best match rating · 12–12 · dust2, 23 Nov →
45%Best headshot accuracy · 7–13 · cache, 3 May →
375msFastest reaction time · 8–13 · mirage, 17 Apr →
13–0Biggest win · dust2, 18 Nov →

Across the last 100 tracked matches.

Highlights

4Longest win streak
2–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

infernoBest map · 64% over 22trainWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C2511–1444%-0.00
infernoA2214–864%0.00
ancientA1710–759%0.02
nukeB136–746%0.00
trainD72–529%-0.01
anubisD62–433%0.02
cacheA53–260%0.01
mirage—30–30%0.00
overpass—11–0100%-0.01
rooftop—10–10%-0.05

Across the last 100 tracked matches.

Lifetime stats

157,432Lifetime kills
1.03K/D · Top 50% of tracked players
5,195Matches
34.0%Match win rate
51.8%Headshot % · Top 25% of tracked players
14.4%Shot accuracy · Top 50% of tracked players
9,344MVPs
2,257Hours (in match)
3,866Bombs planted
687Bombs defused

Most-used weapons

AK-4751,277
AWP29,579
P2504,325
Tec-91,823
Knife1,479

Lifetime map wins

8,924dust2
6,036inferno
3,089nuke
1,384train
989cbble
771vertigo
150office
138italy

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

Faceit stats

Combat

128Matches
60%Win rate
1.19Avg K/D
91.5ADR
45%Headshot %

Clutches & streaks

41%1v1 clutch win
35%1v2 clutch win
6Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Inferno2658%1.2717.2
Ancient1362%1.1619.5
Dust21060%1.1919.8
Anubis1060%0.9818.3
Cache1060%1.1116.9
Mirage560%1.2013.8
Nuke475%1.7827.8
Overpass1100%0.7016.0

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.

19.3%Headshot accuracy
32.2%Accuracy (enemy spotted)
33.4%Spray accuracy
76.9%Counter-strafing
9.6°Preaim
528msReaction time
36.3%T opening success
54.3%CT opening success
0.67Enemies flashed / flash
7.1%Flash assists
9.47HE damage / grenade
10.32Flashes / 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 36.263% — below the 40% mark we flag

Spend your practice time on Train

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
mirage9–130.0324%15 Aug →
ancient13–90.0116%15 Aug →
dust210–130.0124%15 Aug →
cache13–7-0.0122%15 Aug →
anubis15–190.0120%7 Aug →
dust213–11-0.0114%7 Aug →
ancient13–70.0417%9 Jul →
cache12–12-0.0018%7 Jul →
cache13–60.0623%7 Jul →
inferno15–15-0.0615%5 Jul →
ancient6–13-0.019%5 Jul →
dust29–13-0.0731%5 Jul →
nuke6–130.0014%3 Jul →
inferno13–70.0417%2 Jul →
dust211–13-0.0725%29 Jun →
ancient15–15-0.0111%28 Jun →
dust213–70.0624%28 Jun →
dust213–100.0225%28 Jun →
inferno13–4-0.0223%28 Jun →
ancient13–50.0421%24 Jun →
inferno4–13-0.0710%24 Jun →
ancient13–90.0814%23 Jun →
dust28–13-0.0121%18 Jun →
dust213–80.0027%17 Jun →
dust215–150.0022%14 Jun →
anubis1–13-0.026%10 Jun →
dust25–13-0.0127%10 Jun →
ancient13–10-0.0015%9 Jun →
inferno15–15-0.0320%9 Jun →
anubis13–100.0319%7 Jun →
inferno13–10.0021%7 Jun →
mirage8–130.0419%4 Jun →
ancient13–40.0822%4 Jun →
cache13–70.0322%3 May →
cache7–13-0.0245%3 May →
inferno13–9-0.0413%19 Apr →
mirage8–13-0.077%17 Apr →
dust215–15-0.0219%17 Apr →
nuke7–130.0416%27 Mar →
ancient8–13-0.0220%27 Mar →
inferno9–130.0010%24 Mar →
anubis9–130.0522%23 Feb →
anubis11–13-0.0221%9 Feb →
ancient13–80.0915%31 Jan →
inferno13–90.0211%31 Jan →
anubis13–90.0615%31 Jan →
train7–13-0.0522%6 Jan →
train8–13-0.0327%3 Jan →
inferno13–60.0629%3 Jan →
inferno13–100.0324%19 Dec →
train4–13-0.0519%19 Dec →
ancient5–130.0223%19 Dec →
ancient13–80.0222%16 Dec →
dust213–30.0343%16 Dec →
inferno13–100.0122%11 Dec →
dust24–13-0.0417%11 Dec →
nuke9–13-0.0115%10 Dec →
dust213–80.0115%10 Dec →
ancient13–70.0414%10 Dec →
inferno10–13-0.0410%10 Dec →
dust213–80.0531%9 Dec →
dust213–80.0427%9 Dec →
nuke13–100.0132%4 Dec →
nuke14–16-0.0115%4 Dec →
dust213–60.0531%4 Dec →
dust24–13-0.0711%4 Dec →
dust210–13-0.0914%2 Dec →
inferno13–90.0319%2 Dec →
inferno9–13-0.0422%27 Nov →
train13–60.0924%27 Nov →
ancient13–90.0024%26 Nov →
overpass13–10-0.0110%25 Nov →
dust212–120.1135%23 Nov →
ancient10–13-0.0117%22 Nov →
nuke13–70.1021%22 Nov →
rooftop8–8-0.0518%22 Nov →
nuke4–9-0.1026%22 Nov →
nuke9–40.1016%22 Nov →
inferno7–9-0.0237%22 Nov →
inferno13–70.0528%21 Nov →
nuke6–13-0.059%21 Nov →
nuke11–13-0.087%19 Nov →
inferno13–60.1023%19 Nov →
nuke13–90.0019%18 Nov →
dust213–6-0.0224%18 Nov →
inferno9–13-0.0512%18 Nov →
dust213–00.079%18 Nov →
dust212–12-0.0219%17 Nov →
inferno13–110.0722%15 Nov →
dust210–13-0.0432%15 Nov →
train9–13-0.0519%14 Nov →
inferno13–9-0.0413%14 Nov →
inferno13–40.0228%14 Nov →
ancient11–13-0.0316%14 Nov →
dust29–13-0.0714%14 Nov →
nuke13–7-0.0315%14 Nov →
train13–90.0118%13 Nov →
train9–130.0219%13 Nov →
ancient3–13-0.0712%13 Nov →
nuke13–40.0513%12 Nov →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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