Udomaus

Udomaus — CS2 Stats

DE76561198215354843[U:1:255089115]Steam profile ↗✓ No bans

800Tracked matches40%Win rate2020Tracked since
CSDB Rating5.9 SolidPositional Player
CSDB Leaderboard#26397 of 251249 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 24,536 +5,179 23 Aug – 20 Aug · 18 days played
18,25826,152peak 26,15223 Aug20 Aug
26,252Peak Premier in tracked matches
33Days played since 2024-08-23

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim80
Positioning63
Utility31

0–100 skill scores via Leetify.

Recent form

STEADY50–47–3Last 10050%Win rateLLLWWLLWLW

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −2.4pp headshot accuracy · +21ms 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 -0.02
  • Avg headshot accuracy 27%
  • Avg reaction 656ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 24%
  • Avg reaction 654ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 643ms

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: Positional Player — Positioning stands above the rest of this profile (+1.3 against its own average).

Aim8.0
Utility3.1
Positioning6.3
Opening Duels4.4
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.

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 89% playstyle similarity

Most alike: aim profile, positioning profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 644ms 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

Aim8.0
Positioning6.3
Utility3.1
Mechanics8.3
Opening Duels3.7
Win Impact1.7

Composite 5.9/10 (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 rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time648ms+9ms
first ⅓ avg 639ms → last ⅓ avg 648ms
Headshot accuracy24.1%+4.2%
first ⅓ avg 19.9% → last ⅓ avg 24.1%

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

0.09Best match rating · 2–8 · inferno, 3 Aug →
42%Best headshot accuracy · 13–6 · inferno, 13 Jul →
469msFastest reaction time · 11–13 · inferno, 20 Jul →
13–0Biggest win · mirage, 18 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L3Current streak
11–9In matches decided by ≤2 rounds
9Overtime games

Map breakdown

infernoBest map · 67% over 21trainWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
infernoS2114–767%0.01
nukeB178–947%0.00
overpassA169–756%0.02
ancientB115–645%0.00
dust2B105–550%-0.01
mirageA95–456%-0.00
anubisB63–350%-0.01
trainD50–50%0.00
cache—31–233%-0.02
golden—10–10%-0.00
vertigo—10–10%0.07

Across the last 100 tracked matches.

Faceit stats

Combat

703Matches
53%Win rate
1.22Avg K/D
80.7ADR
43%Headshot %

Clutches & streaks

50%1v1 clutch win
31%1v2 clutch win
11Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient850%1.1919.8
Inferno667%1.1021.3
Dust2425%0.9414.5
Nuke333%0.8822.0
Cache20%0.8818.0
Mirage250%1.0624.5
Train1100%0.9314.0
Anubis1100%0.7515.0

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.

23.3%Headshot accuracy
37.4%Accuracy (enemy spotted)
34.5%Spray accuracy
87.3%Counter-strafing
9.1°Preaim
644msReaction time
47.3%T opening success
42.3%CT opening success
0.66Enemies flashed / flash
7.6%Flash assists
7.17HE damage / grenade
9.71Flashes / match

Recommended for you

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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache14–16-0.0324%23 Jul →
cache10–13-0.0212%17 Jul →
ancient10–13-0.0433%13 Jul →
inferno13–6-0.0142%13 Jul →
cache13–3-0.0225%23 Jun →
golden10–13-0.0023%18 Oct →
mirage10–130.0317%18 Oct →
ancient13–50.0021%20 Aug →
mirage7–13-0.0316%20 Aug →
overpass13–8-0.0622%4 Aug →
inferno13–11-0.0431%4 Aug →
train1–130.0028%4 Aug →
inferno13–6-0.0420%3 Aug →
ancient5–13-0.0636%3 Aug →
inferno2–80.0930%3 Aug →
overpass13–110.0127%1 Aug →
ancient11–130.0121%1 Aug →
overpass6–130.0119%1 Aug →
nuke5–13-0.0317%1 Aug →
overpass13–60.0831%1 Aug →
train7–130.0736%31 Jul →
inferno4–13-0.0316%31 Jul →
nuke22–250.0122%31 Jul →
overpass10–130.0213%28 Jul →
overpass13–10.0625%28 Jul →
dust27–130.0319%28 Jul →
overpass13–100.0728%27 Jul →
dust216–130.0325%27 Jul →
nuke7–13-0.0215%24 Jul →
dust213–11-0.0314%23 Jul →
ancient8–1-0.0038%23 Jul →
nuke7–130.0228%23 Jul →
train0–13-0.0823%23 Jul →
dust22–13-0.0624%23 Jul →
inferno13–50.0024%22 Jul →
dust213–10-0.0524%22 Jul →
overpass13–70.0714%22 Jul →
nuke13–10-0.0414%22 Jul →
nuke13–60.0523%22 Jul →
inferno5–130.0317%22 Jul →
ancient1–13-0.0123%22 Jul →
overpass7–130.0025%22 Jul →
overpass13–70.0515%21 Jul →
nuke15–150.0312%21 Jul →
overpass5–13-0.0216%21 Jul →
train15–150.0016%21 Jul →
nuke13–10.0816%21 Jul →
overpass13–60.0418%20 Jul →
inferno11–13-0.0213%20 Jul →
overpass8–13-0.0510%20 Jul →
mirage13–10-0.0731%18 Jul →
nuke7–13-0.0721%18 Jul →
dust213–6-0.0118%18 Jul →
inferno13–80.0624%18 Jul →
mirage13–0-0.0119%18 Jul →
overpass13–60.0624%18 Jul →
dust213–70.0517%18 Jul →
nuke13–110.0318%17 Jul →
inferno13–100.0722%17 Jul →
overpass8–13-0.0036%17 Jul →
overpass4–13-0.0221%17 Jul →
inferno13–11-0.0138%17 Jul →
mirage13–110.0121%14 Jul →
anubis13–11-0.0117%13 Jul →
inferno13–10-0.0117%13 Jul →
nuke13–2-0.0124%13 Jul →
ancient8–13-0.0314%13 Jul →
inferno9–130.0422%12 Jul →
anubis13–100.0224%12 Jul →
dust211–13-0.0120%12 Jul →
ancient13–110.0630%11 Jul →
anubis5–13-0.0618%11 Jul →
inferno13–110.0528%11 Jul →
ancient10–130.0518%11 Jul →
inferno7–10.0629%11 Jul →
nuke3–13-0.0229%11 Jul →
inferno10–13-0.0614%8 Jun →
mirage13–10.0824%22 Apr →
inferno13–90.0218%19 Apr →
inferno13–5-0.0121%19 Apr →
dust211–13-0.0211%17 Apr →
dust214–16-0.0120%15 Apr →
nuke16–14-0.0116%15 Apr →
ancient16–12-0.025%15 Apr →
anubis11–13-0.0520%14 Apr →
anubis9–130.0416%14 Apr →
inferno13–40.0011%14 Apr →
mirage13–100.0529%6 Feb →
nuke13–80.0426%6 Feb →
anubis13–6-0.0214%4 Feb →
train8–130.0114%4 Feb →
mirage7–13-0.0512%4 Feb →
nuke11–13-0.1014%4 Feb →
mirage15–15-0.0327%2 Feb →
inferno13–40.0214%2 Feb →
nuke13–110.0316%2 Feb →
nuke9–130.0620%23 Aug →
vertigo11–130.0730%23 Aug →
ancient10–40.0819%23 Aug →
inferno6–13-0.0624%23 Aug →

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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