ADAM ONDRA

ADAM ONDRA — CS2 Stats

76561198023124893[U:1:62859165]Steam profile ↗✓ No bans

2,651Tracked matches52%Win rate2020Tracked since
CSDB Rating5.1 DevelopingClutch Specialist
Premier CS Rating18,717Purple band · top ~13.6% of ranked players (population est.)
CSDB Leaderboard#89146 of 221399 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Sep 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 2,651 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 43 days played since 20 Mar 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 18,717 -7,952 20 Mar17 Sept · 31 days played
18,06026,992peak 26,99220 Mar17 Sept
Faceit ELO: 2,177 +0 14 Sept17 Sept · 2 observations
2,1772,177peak 2,17714 Sept17 Sept
27,432Peak Premier in tracked matches
2,177Highest Faceit ELO seen on CSDB
43Days played since 2026-03-20

Faceit ELO

  • At peak — 2,177
  • Next: 2,500 ELO at 2,500 323 to go
  • Reached: Level 10 · Level 9 · Level 8 · Level 7
  • Level 10 first seen 2026-09-14
  • Level 9 first seen 2026-09-14

Premier CS Rating

  • 8,275 below peak (26,992)
  • -3,838 over 90 days
  • Next: Pink band at 20,000 1,283 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Purple band first seen 2026-09-14
  • Blue band first seen 2026-09-14

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.

Share this profile

CSDB.GGADAM ONDRAPREMIER18,717 · Purple bandPEAK ELO2,177csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim64
Positioning53
Utility34

0–100 skill scores via Leetify.

Recent form

STEADY47503Last 10047%Win rateLLWWWWWLLT

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −5.4pp headshot accuracy · +56ms 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

  • 32 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 21%
  • Avg reaction 603ms

Last 10

  • 541 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 570ms

Last 20

  • 1091 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 22%
  • Avg reaction 543ms

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: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+1.2 against its own average).

Aim6.4
Utility3.4
Positioning5.3
Opening Duels4.4
Clutch6.0

Limited utility dependence

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

donk

Plays most like donk 92% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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 55% on CT to 37% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 68% 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

Aim6.4
Positioning5.3
Utility3.4
Mechanics4.0
Opening Duels4.0
Win Impact5.6

Composite 5.1/10 (Developing), 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+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time551ms+10ms
first ⅓ avg 541ms → last ⅓ avg 551ms
Headshot accuracy20.4%+1.1%
first ⅓ avg 19.3% → last ⅓ avg 20.4%

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.

Personal bests

0.19Best match rating · 13–2 · anubis, 26 Jun
63%Best headshot accuracy · 5–0 · cache, 4 Sept
383msFastest reaction time · 6–13 · inferno, 5 Aug
13–1Biggest win · inferno, 3 Sept

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
710In matches decided by ≤2 rounds
6Overtime games

Map breakdown

nukeBest map · 100% over 6mirageWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoC36142239%-0.01
ancientB147750%-0.02
anubisA127558%0.01
dust2A95456%0.01
overpassD82625%0.01
mirageD61517%-0.01
nukeS660100%-0.00
cacheA53260%0.03
eldorado110100%0.06
debris1010%-0.06
warden110100%-0.04
alpine1010%-0.00

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Mirage lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,155Matches
52%Win rate
0.97Avg K/D
67.3ADR
38%Headshot %

Clutches & streaks

50%1v1 clutch win
27%1v2 clutch win
12Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Vertigo1765%1.0313.8
Inferno1275%0.8612.3
Nuke825%0.7412.3
Overpass838%0.9513.8
Anubis450%0.7912.0
Ancient475%1.2417.5
Mirage367%0.669.3

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.

19.2%Headshot accuracy
33.1%Accuracy (enemy spotted)
34.0%Spray accuracy
68.2%Counter-strafing
9.6°Preaim
533msReaction time
37.2%T opening success
55.1%CT opening success
0.46Enemies flashed / flash
1.3%Flash assists
7.29HE damage / grenade
3.86Flashes / 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 0.4556 — 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 37.1838% — below the 40% mark we flag

Spend your practice time on Mirage

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient7–13-0.0321%12 Sept
mirage11–13-0.0721%12 Sept
inferno13–60.0622%10 Sept
anubis13–90.0223%8 Sept
dust213–11-0.0116%8 Sept
nuke13–60.0219%7 Sept
inferno13–70.0116%7 Sept
inferno11–130.0524%6 Sept
anubis10–13-0.0515%6 Sept
mirage15–150.0519%5 Sept
inferno11–130.0324%4 Sept
ancient4–13-0.0525%4 Sept
cache5–00.1163%4 Sept
mirage13–70.009%4 Sept
inferno13–16-0.0515%3 Sept
mirage5–13-0.0126%3 Sept
inferno13–10.1724%3 Sept
inferno13–40.0131%3 Sept
dust213–40.0518%2 Sept
inferno6–130.0316%2 Sept
eldorado9–40.0615%31 Aug
debris7–9-0.0624%31 Aug
anubis13–70.1024%28 Aug
inferno13–70.0233%28 Aug
cache11–130.0217%27 Aug
ancient1–13-0.0817%27 Aug
nuke13–100.0416%27 Aug
cache13–10-0.0214%19 Aug
inferno8–13-0.025%19 Aug
anubis9–130.0116%17 Aug
inferno6–13-0.0511%5 Aug
cache13–20.0615%7 Jul
anubis3–13-0.0720%29 Jun
inferno13–30.0511%29 Jun
nuke13–6-0.0213%27 Jun
inferno6–13-0.0716%27 Jun
ancient8–13-0.0223%27 Jun
anubis13–20.1921%26 Jun
ancient13–110.0222%26 Jun
inferno13–9-0.079%26 Jun
inferno8–13-0.050%25 Jun
overpass5–13-0.0617%25 Jun
inferno10–13-0.0616%10 May
nuke13–7-0.0221%10 May
ancient7–13-0.0427%10 May
ancient16–130.0039%10 May
dust213–9-0.0114%9 May
inferno13–9-0.0223%8 May
ancient13–9-0.0212%8 May
inferno9–13-0.0425%4 May
inferno11–13-0.0320%3 May
inferno8–13-0.0013%30 Apr
cache4–130.0124%30 Apr
ancient13–7-0.0316%28 Apr
overpass13–20.0819%27 Apr
inferno13–6-0.0531%27 Apr
anubis13–80.028%26 Apr
inferno13–5-0.0430%26 Apr
dust213–80.0823%26 Apr
ancient5–13-0.055%26 Apr
nuke13–11-0.0127%26 Apr
anubis11–13-0.0017%26 Apr
inferno7–13-0.0115%26 Apr
inferno14–16-0.0218%24 Apr
inferno2–00.1225%24 Apr
nuke13–7-0.0115%16 Apr
inferno2–13-0.0329%16 Apr
dust213–100.0115%15 Apr
warden13–11-0.0413%11 Apr
anubis13–10-0.0711%11 Apr
inferno11–13-0.0514%11 Apr
overpass6–13-0.0318%11 Apr
overpass7–130.0417%11 Apr
dust28–13-0.0314%11 Apr
overpass10–130.0219%10 Apr
inferno5–130.0215%10 Apr
inferno8–8-0.084%10 Apr
overpass15–15-0.0118%9 Apr
anubis13–8-0.0018%9 Apr
dust211–130.0315%1 Apr
mirage8–13-0.0023%28 Mar
alpine8–13-0.0021%27 Mar
inferno8–13-0.0537%27 Mar
inferno9–13-0.0232%27 Mar
ancient13–11-0.0115%26 Mar
overpass10–130.0317%26 Mar
inferno13–100.018%24 Mar
dust213–16-0.0420%24 Mar
ancient3–13-0.0427%24 Mar
inferno10–13-0.0623%23 Mar
dust25–130.0029%23 Mar
anubis3–13-0.0426%21 Mar
inferno8–130.0616%21 Mar
inferno13–6-0.0225%21 Mar
ancient13–110.0320%21 Mar
ancient13–40.0422%21 Mar
overpass13–100.0420%21 Mar
anubis13–70.0321%20 Mar
mirage8–13-0.0622%20 Mar
inferno13–8-0.0123%20 Mar

Match data via Leetify.

Recent teammates

Milestones

2K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →