Dhomas

Dhomas — CS2 Stats

US76561198414544989[U:1:454279261]Steam profile ↗

902Tracked matches46%Win rate2021Tracked since
950Hours in CS6Hrs last 2 wks
CSDB Rating2.8 Learning
WingmanSilver Elite
Ladder ranks via Leetify

Performance scores

Aim29
Positioning25
Utility34

0–100 skill scores via Leetify.

Recent form

COLD464311Last 10046%Win rateWLTWWLLLLL

Last 10 vs previous 10: -10pp win rate · -0.00 avg rating

Player DNA

Aim2.9
Aggression1.5
Utility3.4
Positioning2.5
Opening Duels0.0
Clutch6.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 60% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower opening-fight frequency; 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 31% on CT to 15% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 684ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.9
Positioning2.5
Utility3.4
Mechanics3.8
Opening Duels0.1
Win Impact3.8

Composite 2.8/10 (Learning), 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 rating-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time686ms+8ms
first ⅓ avg 679ms → last ⅓ avg 686ms
Headshot accuracy14.3%+1.4%
first ⅓ avg 12.9% → last ⅓ avg 14.3%

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.

Highlights

0.11Best rating — train 13–2
131Biggest win — train
5Longest win streak
53In matches decided by ≤2 rounds
6Overtime games

Map breakdown

ancientBest map · 67% over 9vertigoWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
mirageS2013765%-0.02
infernoC1981142%-0.03
dust2C1771041%-0.01
ancientS96367%-0.04
anubisB84450%-0.04
trainD72529%-0.03
nukeB63350%-0.02
vertigoD51420%-0.03
overpassD51420%-0.01
office21150%-0.00
cache1010%-0.04
grail1010%-0.01

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Vertigo lineups, review the callouts, then spin up a practice server.

Lifetime stats

20,973Lifetime kills
0.82K/D
1,269Matches
37.3%Match win rate
50.1%Headshot % · Top 50% of tracked players
2.1%Shot accuracy
2,580MVPs
497Hours (in match)
533Bombs planted
764Bombs defused

Most-used weapons

Lifetime map wins

2,096inferno
1,373dust2
1,211vertigo
676nuke
418train
90office
39italy
6ar_baggage

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

Faceit stats

Combat

3Matches
0%Win rate
0.72Avg K/D
67.4ADR
22%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient10%0.6210.0
Nuke10%0.7710.0
Mirage10%0.7619.0

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.

15.1%Headshot accuracy
28.9%Accuracy (enemy spotted)
29.0%Spray accuracy
67.1%Counter-strafing
10.7°Preaim
684msReaction time
14.5%T opening success
30.8%CT opening success
0.42Enemies flashed / flash
1.0%Flash assists
3.15HE damage / grenade
6.17Flashes / 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 0.4161 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 14.525% — below the 40% mark we flag

Spend your practice time on Vertigo

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

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–8-0.0030%24 Aug
dust21–13-0.050%24 Aug
vertigo12–12-0.0212%18 Aug
inferno13–2-0.0218%18 Aug
ancient13–8-0.0433%18 Aug
train6–13-0.1011%12 Aug
dust27–13-0.0028%12 Aug
ancient7–13-0.0829%11 Aug
overpass5–13-0.0911%11 Aug
vertigo5–13-0.019%29 Jul
vertigo13–11-0.047%29 Jul
nuke13–9-0.0511%24 Jun
inferno8–4-0.073%24 Jun
mirage10–13-0.0231%18 Jun
office8–130.0212%10 Jun
ancient13–30.0018%10 Jun
cache6–13-0.0411%29 Apr
mirage8–13-0.0623%31 Mar
inferno8–13-0.0814%31 Mar
vertigo5–13-0.0513%31 Mar
anubis15–15-0.0611%18 Mar
dust213–30.0411%18 Mar
mirage5–13-0.0410%18 Mar
mirage2–13-0.0815%18 Mar
ancient16–14-0.0414%18 Mar
ancient13–8-0.038%17 Mar
overpass13–40.0624%17 Mar
mirage13–10-0.038%10 Mar
inferno6–13-0.039%11 Feb
office13–4-0.0212%27 Jan
overpass5–13-0.034%27 Jan
mirage5–13-0.0710%27 Jan
nuke13–11-0.0514%9 Dec
train8–13-0.0625%7 Nov
dust213–9-0.059%23 Sept
inferno5–90.0522%23 Sept
nuke8–8-0.0212%23 Sept
anubis13–60.028%17 Sept
train13–1-0.0013%17 Sept
mirage13–70.0314%17 Sept
nuke8–130.0418%17 Sept
inferno12–12-0.0513%12 Aug
inferno13–3-0.0211%12 Aug
mirage13–10-0.0410%6 Aug
dust212–12-0.0116%6 Aug
train13–20.1121%6 Aug
dust21–6-0.0513%5 Aug
inferno10–130.0317%30 Jul
mirage12–20.0511%30 Jul
inferno7–13-0.048%29 Jul
train12–12-0.0610%29 Jul
nuke6–13-0.0313%27 Jul
mirage6–13-0.049%25 Jul
overpass3–130.0610%23 Jul
dust22–13-0.1014%23 Jul
dust29–13-0.0215%23 Jul
train9–13-0.0817%22 Jul
mirage13–40.0310%16 Jul
inferno13–5-0.085%16 Jul
dust211–13-0.0321%15 Jul
mirage13–80.0215%14 Jul
ancient10–13-0.0519%14 Jul
inferno13–7-0.0412%14 Jul
mirage13–6-0.0415%14 Jul
dust213–110.0812%14 Jul
anubis13–3-0.038%13 Jul
dust216–12-0.0117%13 Jul
dust212–120.0112%9 Jul
mirage13–10-0.0118%9 Jul
ancient13–10-0.0312%9 Jul
inferno13–90.0114%6 Jul
mirage13–5-0.055%6 Jul
ancient7–13-0.0610%6 Jul
dust213–30.0712%6 Jul
nuke13–10-0.0112%4 Jul
grail12–12-0.0114%2 Jul
dust28–130.0712%2 Jul
inferno5–13-0.079%2 Jul
mirage10–13-0.0124%1 Jul
mirage13–4-0.0613%1 Jul
anubis15–15-0.0413%1 Jul
train1–130.007%1 Jul
inferno8–40.1018%1 Jul
mirage13–90.0513%30 Jun
dust213–6-0.059%30 Jun
anubis12–12-0.0212%29 Jun
ancient16–12-0.028%28 Jun
anubis13–6-0.0812%26 Jun
anubis2–13-0.0811%24 Jun
mirage13–11-0.0313%24 Jun
mirage16–13-0.0512%24 Jun
anubis13–6-0.0319%23 Jun
inferno4–13-0.0730%23 Jun
dust25–13-0.0812%22 Jun
overpass9–13-0.055%20 Jun
vertigo11–13-0.0310%19 Jun
inferno9–40.0415%18 Jun
inferno8–80.0516%18 Jun
inferno7–9-0.1310%18 Jun
inferno4–9-0.1417%18 Jun

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 →