Dominykas — CS2 Stats

76561199217930704[U:1:1257664976]✓ No bans

318Tracked matches39%Win rate2024Tracked since
264Hours in CS
CSDB Rating2.7 Learning
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=928), 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 rate34.7%42.5%44.2%9.5% short
Shot accuracy0.4%10.9%11.2%10.8% short
Kill/death ratio0.760.991.040.28 short
Match win rate37.0%44.2%45.3%8.3% short

This profile sits below the typical Level 5 player on every metric we can compare.

Widest gap: Shot accuracy. 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.GGDominykasFACEITLevel 4STANDINGTop 81.0% of rankedcsdb.gg/stats

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Performance scores

Aim21
Positioning27
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY38557Last 10038%Win rateWTWWWLTLWW

Last 10 vs previous 10: +30pp win rate · +0.04 avg rating

Player DNA

Aim2.1
Aggression2.4
Utility3.2
Positioning2.7
Opening Duels0.0
Clutch1.0

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 64% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower positioning profile; 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 34% on CT to 17% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 674ms 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

Aim2.1
Positioning2.7
Utility3.2
Mechanics6.0
Opening Duels0.5
Win Impact1.4

Composite 2.7/10 (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-0.05−0.01
first ⅓ avg -0.04 → last ⅓ avg -0.05
Reaction time670ms−26ms
first ⅓ avg 695ms → last ⅓ avg 670ms
Headshot accuracy13.4%+2.3%
first ⅓ avg 11.2% → last ⅓ avg 13.4%

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

0.08Best rating — overpass 3–13
132Biggest win — mirage
5Longest win streak
60In matches decided by ≤2 rounds
2Overtime games

Map breakdown

mirageBest map · 52% over 27infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB27141352%-0.02
dust2C2281436%-0.06
infernoD124833%-0.10
ancientB115645%-0.03
nukeD93633%-0.06
anubisD62433%-0.04
overpass4040%-0.02
vertigo2020%-0.07
train21150%-0.02
grail2020%-0.05
palacio1010%-0.05
jura110100%-0.05
brewery1010%-0.14

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,943Lifetime kills
0.76K/D
900Matches
37.0%Match win rate
34.7%Headshot %
0.4%Shot accuracy
1,289MVPs
264Hours (in match)
969Bombs planted
104Bombs defused

Most-used weapons

Lifetime map wins

1,106inferno
1,019nuke
982dust2
250vertigo
203office
198train
64italy
22safehouse

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

Faceit stats

Combat

5Matches
0%Win rate
0.44Avg K/D
50.4ADR
31%Headshot %

Clutches & streaks

25%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.346.0
Inferno10%0.406.0
Dust210%0.285.0
Ancient10%0.8315.0

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.

12.7%Headshot accuracy
23.5%Accuracy (enemy spotted)
20.8%Spray accuracy
77.0%Counter-strafing
11.0°Preaim
674msReaction time
16.6%T opening success
34.3%CT opening success
0.57Enemies flashed / flash
0.9%Flash assists
4.41HE damage / grenade
3.65Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.7417% — below the 15% mark we flag

    Aim Training
  2. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 3.6486 — below the 4 mark we flag

    Grenade Lineups
  3. 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 16.5765% — below the 40% mark we flag

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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage13–110.0513%17 Aug
dust212–12-0.0310%15 Aug
mirage13–30.0113%13 Aug
mirage13–4-0.0211%13 Aug
dust213–6-0.0311%13 Aug
nuke5–13-0.0511%12 Aug
mirage12–12-0.0914%12 Aug
dust25–13-0.0621%12 Aug
mirage13–30.0629%12 Aug
mirage13–10-0.0211%11 Aug
dust21–13-0.1019%11 Aug
mirage4–13-0.0514%20 Jul
mirage9–13-0.0317%17 Jul
dust23–13-0.115%17 Jul
inferno1–13-0.0513%11 Jul
mirage13–2-0.045%11 Jul
dust21–13-0.066%11 Jul
mirage13–2-0.0123%28 Jun
inferno13–11-0.076%27 Jun
mirage3–13-0.0717%27 Jun
dust213–11-0.1710%27 Jun
dust23–13-0.087%27 Jun
inferno2–9-0.1521%27 Jun
mirage7–13-0.0611%18 Jun
dust22–13-0.097%18 Jun
ancient13–10-0.0621%18 Jun
nuke2–13-0.0613%18 Jun
nuke3–13-0.0412%17 Jun
dust29–13-0.0218%17 Jun
mirage6–13-0.103%17 Jun
dust26–13-0.0913%17 Jun
nuke13–8-0.0224%2 Jun
nuke2–13-0.0914%20 Dec
vertigo6–13-0.0411%20 Dec
dust27–13-0.0713%22 Nov
overpass3–130.0812%22 Nov
overpass5–130.0015%22 Nov
overpass4–13-0.0814%21 Nov
dust210–13-0.0213%6 Nov
mirage10–13-0.0711%6 Nov
train13–8-0.0113%5 Nov
mirage13–110.049%5 Nov
inferno13–9-0.062%5 Nov
dust25–13-0.0713%4 Nov
ancient13–110.016%30 Oct
inferno3–9-0.106%30 Oct
ancient12–12-0.0215%29 Oct
inferno13–8-0.109%29 Oct
ancient8–13-0.0413%25 Oct
dust213–9-0.0613%25 Oct
ancient10–13-0.0611%23 Oct
mirage13–7-0.027%23 Oct
ancient8–13-0.069%18 Oct
ancient9–13-0.0424%18 Oct
anubis13–100.0216%18 Oct
anubis5–13-0.1111%17 Oct
mirage13–10-0.0717%12 Oct
inferno9–13-0.046%12 Oct
anubis8–13-0.066%5 Oct
ancient13–9-0.037%5 Oct
dust213–30.0017%5 Oct
inferno9–4-0.039%3 Oct
palacio12–12-0.0514%3 Oct
mirage12–12-0.0512%3 Oct
mirage5–13-0.109%3 Oct
vertigo4–9-0.107%24 Sept
inferno5–9-0.174%24 Sept
inferno6–9-0.1610%24 Sept
nuke3–9-0.1714%24 Sept
mirage12–12-0.074%24 Sept
mirage7–13-0.0211%24 Sept
overpass7–13-0.0818%20 Sept
ancient13–80.0214%20 Sept
mirage4–13-0.0110%20 Sept
dust213–100.0112%20 Sept
dust213–90.008%18 Sept
grail10–13-0.0915%27 Aug
grail6–13-0.0114%27 Aug
nuke5–13-0.0519%13 Aug
nuke13–9-0.089%30 Jul
jura13–10-0.0522%30 Jul
mirage13–9-0.038%23 Jul
mirage13–80.0612%17 Jul
nuke12–60.0615%10 Jul
anubis6–13-0.038%25 Jun
anubis13–90.009%25 Jun
anubis8–13-0.098%12 Jun
mirage13–16-0.018%12 Jun
dust22–13-0.0810%10 Jun
dust213–8-0.0315%10 Jun
train6–13-0.049%8 Jun
ancient8–13-0.0714%8 Jun
mirage13–20.019%8 Jun
inferno3–13-0.095%8 Jun
mirage13–80.039%6 Jun
dust213–16-0.0611%6 Jun
ancient2–00.010%6 Jun
dust213–8-0.0114%6 Jun
inferno8–8-0.1210%4 Jun
brewery2–9-0.1415%4 Jun

Match data via Leetify.

Recent teammates

Milestones

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