onas

onas — CS2 Stats

DK76561198393694670[U:1:433428942]Steam profile ↗✓ No bans

1,781Tracked matches57%Win rate2020Tracked since
5,867Hours in CS10Hrs last 2 wks
CSDB Rating7.0 StrongAggressive Rifler
FaceitLevel 10 · 2,804 ELOTop 12.4% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

How this compares with the same rank

Median values for Level 10 among CSDB-tracked players (n=3,007), 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 10 median
Headshot rate50.5%52.0%
Shot accuracy14.8%13.7%
Kill/death ratio1.061.08
Match win rate46.2%48.8%

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CSDB.GGonasFACEITLevel 10 · 2,804 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim79
Positioning64
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY5149Last 10051%Win rateWLLLLLWLWW

Last 10 vs previous 10: -40pp win rate · -0.00 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.9
Aggression8.8
Utility6.8
Positioning6.4
Opening Duels5.2
Clutch3.4

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

jL

Plays most like jL 93% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: higher opening-duel success.

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

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

Aim7.9
Positioning6.4
Utility6.8
Mechanics6.2
Opening Duels5.2
Win Impact7.2

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time568ms+27ms
first ⅓ avg 542ms → last ⅓ avg 568ms
Headshot accuracy24.4%−0.7%
first ⅓ avg 25.2% → last ⅓ avg 24.4%

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

0.46Best rating — vertigo 9–1
131Biggest win — nuke
7Longest win streak
87In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 60% over 25infernoWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
nukeA25151060%0.02
mirageB2091145%0.01
dust2B115645%0.01
anubisB115645%-0.01
ancientA116555%0.01
overpassA74357%0.00
infernoD6060%0.00
train42250%0.00
cache330100%0.11
vertigo110100%0.46
dogtown110100%0.02

Across the last 100 tracked matches.

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

Lifetime stats

177,783Lifetime kills
1.06K/D
7,169Matches
46.2%Match win rate
50.5%Headshot %
14.8%Shot accuracy · Top 50% of Level 10 players
25,331MVPs
3,969Hours (in match)
5,492Bombs planted
2,976Bombs defused

Most-used weapons

AK-4759,159
AWP30,042
Knife5,799
P2503,710
SG 5533,476
MP92,289

Lifetime map wins

20,544inferno
11,597nuke
4,648vertigo
4,198train
3,096dust2
1,773cbble
61lake
14office

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

Faceit stats

Combat

4,891Matches
50%Win rate
1.12Avg K/D
82.5ADR
49%Headshot %

Clutches & streaks

37%1v1 clutch win
20%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage24345%1.1316.9
Anubis18052%1.1417.0
Nuke14355%1.1717.0
Ancient11046%1.1216.6
Inferno8246%1.0315.9
Dust26250%1.0115.9
Vertigo5556%1.1016.1
Overpass3566%1.0316.4

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.

24.4%Headshot accuracy
35.0%Accuracy (enemy spotted)
39.6%Spray accuracy
78.1%Counter-strafing
9.7°Preaim
578msReaction time
50.5%T opening success
51.3%CT opening success
0.61Enemies flashed / flash
10.5%Flash assists
8.57HE damage / grenade
16.36Flashes / 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 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–40.1230%25 Aug
dust21–3-0.050%21 Aug
mirage10–13-0.0524%19 Aug
dust25–130.0125%19 Aug
mirage8–13-0.0634%19 Aug
inferno4–120.0243%19 Aug
cache8–00.1436%19 Aug
anubis11–130.0321%19 Aug
mirage13–50.0837%8 Aug
anubis13–30.1041%8 Aug
dust27–130.0219%8 Aug
nuke13–70.0631%8 Aug
nuke13–50.0826%28 Jul
dust213–70.0732%24 Jul
dust213–60.0627%24 Jun
anubis13–8-0.0421%6 Jun
cache16–140.1024%30 May
cache13–110.0822%30 May
nuke9–13-0.0732%28 May
ancient16–140.0024%25 May
vertigo9–10.4623%23 May
nuke3–130.0336%21 May
nuke13–50.0122%8 May
nuke13–80.0120%4 May
ancient19–150.0216%20 Apr
nuke13–90.0316%14 Apr
nuke11–13-0.0019%11 Apr
nuke13–40.1729%11 Apr
ancient5–130.0117%11 Apr
dust216–19-0.0212%25 Mar
nuke11–130.0120%25 Mar
overpass13–11-0.0211%23 Mar
nuke11–130.0019%23 Mar
nuke13–10.0821%23 Mar
mirage13–60.0522%16 Mar
nuke7–130.0419%15 Mar
inferno1–12-0.0713%14 Mar
dust211–13-0.0123%12 Mar
anubis2–13-0.0917%2 Mar
nuke8–13-0.0229%27 Feb
nuke13–5-0.0016%26 Feb
dust213–60.0316%26 Feb
anubis10–130.0217%25 Feb
mirage7–13-0.0320%25 Feb
nuke8–13-0.0122%25 Feb
dust213–10-0.0218%24 Feb
mirage13–80.0625%24 Feb
mirage4–13-0.0221%24 Feb
mirage5–13-0.0443%24 Feb
nuke13–70.0521%24 Feb
inferno13–16-0.0218%24 Feb
ancient6–130.0320%20 Feb
overpass4–13-0.1019%20 Feb
nuke13–9-0.0316%7 Feb
anubis5–13-0.0729%7 Feb
nuke2–13-0.0147%7 Feb
inferno6–90.0741%6 Feb
mirage7–13-0.0127%7 Dec
ancient8–13-0.0026%5 Dec
nuke13–8-0.0322%5 Dec
inferno8–13-0.0518%5 Dec
nuke13–70.0220%17 Nov
mirage9–130.0428%10 Nov
ancient13–6-0.0133%10 Nov
overpass6–13-0.0346%26 Sept
overpass13–80.0318%9 Sept
ancient4–13-0.096%8 Aug
ancient9–13-0.0417%6 Aug
overpass13–70.1216%3 Aug
mirage13–4-0.0464%29 Jul
overpass13–80.0119%29 Jul
nuke13–40.0529%21 Jul
overpass7–130.0025%21 Jul
ancient13–90.0625%16 Jul
nuke6–130.0331%10 Jul
nuke13–100.0629%10 Jul
mirage13–110.0634%4 Jun
mirage8–130.0318%4 Jun
anubis13–90.0319%29 May
mirage13–50.1117%29 May
mirage13–70.0632%29 May
anubis13–40.0327%29 May
mirage7–13-0.0453%29 May
mirage16–14-0.0312%29 May
nuke13–90.0427%28 May
ancient13–60.0714%28 May
mirage20–220.0222%27 May
train13–110.0517%27 May
anubis10–13-0.0321%26 May
ancient19–150.0526%24 May
mirage13–80.0220%23 May
dust22–13-0.0620%23 May
dogtown9–50.0227%21 May
inferno9–130.0724%9 May
mirage8–130.0028%30 Apr
train8–13-0.0517%23 Apr
anubis13–80.0234%21 Apr
train1–10-0.030%14 Apr
train13–110.0533%14 Apr
anubis9–13-0.0634%14 Apr

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →