cud

cud — CS2 Stats

76561198057162746[U:1:96897018]Steam profile ↗✓ No bans

1,225Tracked matches36%Win rate2020Tracked since
CSDB Rating5.4 DevelopingAggressive Rifler
FaceitLevel 9Top 20.7% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

Share this profile

CSDB.GGcudFACEITLevel 9STANDINGTop 20.7% of rankedcsdb.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

Aim79
Positioning51
Utility50

0–100 skill scores via Leetify.

Recent form

COLD55405Last 10055%Win rateLLLLWWLWLL

Last 10 vs previous 10: +0pp win rate · -0.01 avg rating

Player DNA

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

Aim7.9
Aggression7.1
Utility5.0
Positioning5.1
Opening Duels3.4
Clutch1.2

Strong CT-side opener

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

ropz

Plays most like ropz 91% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: 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 57% on CT to 30% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 571ms 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
Positioning5.1
Utility5.0
Mechanics6.0
Opening Duels3.4
Win Impact0.2

Composite 5.4/10 (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 rating0.01−0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time555ms−25ms
first ⅓ avg 580ms → last ⅓ avg 555ms
Headshot accuracy23.2%−1.3%
first ⅓ avg 24.5% → last ⅓ avg 23.2%

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

0.15Best rating — office 13–4
131Biggest win — ancient
7Longest win streak
L4Current streak
511In matches decided by ≤2 rounds
5Overtime games

Map breakdown

anubisBest map · 62% over 13dust2Weakest map · 45% over 20
MapGradePlayedRecordWin rateAvg rating
mirageB25121348%0.00
dust2B2091145%0.00
anubisA138562%-0.01
infernoA138562%0.02
ancientB115645%0.00
trainA74357%0.01
nuke42250%0.00
overpass330100%0.02
vertigo330100%0.03
office110100%0.15

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (45% over 20). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,594Matches
51%Win rate
1.16Avg K/D
72.3ADR
51%Headshot %

Clutches & streaks

26%1v1 clutch win
12%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage2552%1.0414.7
Ancient1233%0.9213.9
Inferno1173%0.9615.6
Anubis1040%0.9014.0
Dust2757%0.8912.9
Nuke20%0.7412.5
Train10%0.7512.0
Overpass10%0.9314.0

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.

23.6%Headshot accuracy
34.4%Accuracy (enemy spotted)
37.1%Spray accuracy
76.8%Counter-strafing
8.1°Preaim
571msReaction time
29.5%T opening success
57.5%CT opening success
0.66Enemies flashed / flash
4.6%Flash assists
8.37HE damage / grenade
8.34Flashes / 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. 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 29.5006% — below the 40% mark we flag

Spend your practice time on Dust 2

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

45% win rate across 20 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis4–130.0148%20 Aug
mirage8–130.0531%20 Aug
inferno7–130.0323%1 Aug
ancient0–13-0.0533%1 Aug
mirage13–7-0.0316%31 Jul
mirage13–11-0.0320%31 Jul
dust27–130.0020%31 Jul
mirage13–10-0.0318%26 Jul
mirage4–13-0.0616%26 Jul
mirage6–130.0222%22 Jul
dust213–40.0724%22 Jul
mirage11–130.0312%21 Jul
ancient6–130.0719%21 Jul
mirage10–13-0.0223%19 Jul
mirage11–13-0.0317%2 Jul
anubis8–13-0.0124%2 Jul
mirage3–13-0.0421%2 Jul
inferno11–130.0231%30 Jun
overpass13–4-0.0319%30 Jun
dust213–11-0.0231%30 Jun
mirage15–15-0.0119%30 Jun
overpass13–100.0522%6 Feb
dust213–8-0.0120%6 Feb
train5–130.0019%31 Jan
mirage2–40.000%8 Nov
mirage13–6-0.0123%8 Nov
dust25–130.0235%27 Oct
train8–130.0922%27 Oct
dust212–120.0636%27 Oct
nuke13–100.0332%26 Oct
nuke11–13-0.0023%26 Oct
dust21–13-0.0136%26 Oct
ancient11–130.0915%22 Oct
mirage4–130.0532%19 Oct
dust210–13-0.0231%17 Mar
mirage13–90.1124%21 Jan
inferno13–80.0334%21 Jan
mirage12–120.0321%27 Dec
overpass13–40.0415%26 Dec
ancient13–10.0622%24 Dec
inferno13–7-0.0611%24 Dec
mirage13–4-0.0116%23 Dec
dust213–16-0.0127%22 Dec
mirage13–90.0623%22 Dec
inferno6–130.0411%22 Dec
anubis13–11-0.0513%22 Dec
inferno9–13-0.0511%21 Dec
train13–3-0.0328%21 Dec
dust213–70.0428%21 Dec
anubis13–10.0222%21 Dec
dust213–90.0125%21 Dec
dust214–160.0121%21 Dec
mirage13–70.0227%21 Dec
nuke13–5-0.0433%6 Dec
anubis13–90.0220%6 Dec
anubis3–13-0.0617%6 Dec
ancient4–13-0.1014%6 Dec
ancient8–13-0.0815%6 Dec
mirage10–13-0.0420%5 Dec
dust213–10-0.0521%2 Dec
anubis13–9-0.0416%1 Dec
ancient13–10-0.0117%1 Dec
inferno13–30.0724%28 Nov
nuke11–130.0439%25 Nov
vertigo13–70.0119%25 Nov
inferno13–100.0128%25 Nov
anubis13–50.0131%24 Nov
vertigo13–9-0.0617%24 Nov
inferno13–60.0626%19 Nov
mirage13–80.0326%19 Nov
inferno13–100.0831%19 Nov
dust211–13-0.0333%18 Nov
inferno11–13-0.0015%17 Nov
train13–9-0.0629%17 Nov
anubis13–8-0.0321%16 Nov
mirage13–110.0114%16 Nov
train13–100.0829%15 Nov
train12–12-0.0417%15 Nov
train13–5-0.0026%15 Nov
anubis13–8-0.0410%11 Nov
office13–40.1533%11 Nov
ancient13–90.0320%10 Nov
inferno13–20.1335%10 Nov
ancient13–9-0.0413%9 Nov
anubis7–13-0.0620%9 Nov
dust211–130.0222%4 Nov
mirage13–160.0126%1 Nov
ancient16–140.0417%20 Oct
ancient9–130.0244%20 Oct
dust213–7-0.0218%20 Oct
anubis13–20.0615%20 Oct
mirage13–5-0.0119%20 Oct
dust24–130.0021%14 Oct
inferno13–5-0.0613%14 Oct
dust212–12-0.0239%14 Oct
mirage13–100.0014%14 Oct
vertigo13–70.1337%14 Oct
anubis10–130.0450%13 Oct
dust213–10-0.0134%13 Oct
dust213–7-0.0124%13 Oct

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →