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dudmano — CS2 Stats

76561198323947626[U:1:363681898]✓ No bans

343Tracked matches54%Win rate2023Tracked since
CSDB Rating6.3 SolidAggressive Rifler
Premier CS Rating20,238Pink band · top ~8.2% of ranked players (population est.)
CSDB Leaderboard#4168 of 9376 tracked
Ladder ranks via Leetify

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CSDB.GGdudmanoPREMIER20,238 · Pink bandcsdb.gg/stats

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Performance scores

Aim71
Positioning61
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY46–50–4Last 10046%Win rateLLLWTLWWWT

Last 10 vs previous 10: -40pp win rate · -0.05 avg rating

Player DNA

Primary style: Aggressive Rifler — Takes opening fights often, backed by a strong aim profile.

Aim7.1
Aggression7.9
Utility4.7
Positioning6.1
Opening Duels3.4

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

b1t

Plays most like b1t 91% playstyle similarity

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

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

Reaction time. 577ms 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

Aim7.1
Positioning6.1
Utility4.7
Mechanics7.7
Opening Duels3.4
Win Impact6.2

Composite 6.3/10 (Solid), 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 rating0.00+0.03
first ⅓ avg -0.03 → last ⅓ avg 0.00
Reaction time584ms−121ms
first ⅓ avg 705ms → last ⅓ avg 584ms
Headshot accuracy17.3%+2.7%
first ⅓ avg 14.6% → last ⅓ avg 17.3%

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 — dust2 13–7
13–0Biggest win — ancient
5Longest win streak
L3Current streak
10–10In matches decided by ≤2 rounds
13Overtime games

Map breakdown

mirageBest map · 54% over 13dust2Weakest map · 35% over 26
MapGradePlayedRecordWin rateAvg rating
dust2C269–1735%-0.02
infernoB189–950%-0.02
mirageB137–654%-0.02
nukeB126–650%-0.02
ancientB126–650%-0.01
anubisB115–645%-0.01
overpass—32–167%0.01
train—31–233%-0.03
cache—21–150%0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 26). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.1%Headshot accuracy
33.5%Accuracy (enemy spotted)
33.7%Spray accuracy
84.7%Counter-strafing
9.4°Preaim
577msReaction time
43.4%T opening success
43.7%CT opening success
0.40Enemies flashed / flash
2.1%Flash assists
4.90HE damage / grenade
11.36Flashes / 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 0.4031 — below the 0.5 mark we flag

    Grenade Lineups →
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.

35% win rate across 26 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage2–13-0.0618%28 Aug →
nuke9–130.0213%27 Aug →
nuke0–6-0.100%27 Aug →
mirage13–90.0515%27 Aug →
inferno15–150.0131%24 Aug →
anubis11–13-0.0613%22 Aug →
ancient13–5-0.097%22 Aug →
mirage13–8-0.0319%21 Aug →
inferno13–50.0415%21 Aug →
dust215–150.0014%21 Aug →
mirage11–130.0219%21 Aug →
dust213–70.1529%19 Aug →
anubis13–40.1017%19 Aug →
nuke13–11-0.0515%19 Aug →
inferno13–40.0519%19 Aug →
anubis13–5-0.0017%19 Aug →
ancient8–13-0.0213%18 Aug →
ancient13–70.0210%18 Aug →
nuke13–30.0523%18 Aug →
anubis5–2-0.0319%18 Aug →
inferno13–40.0723%18 Aug →
anubis4–13-0.077%17 Aug →
inferno7–130.0044%17 Aug →
anubis11–13-0.0621%17 Aug →
mirage7–13-0.039%17 Aug →
anubis4–13-0.0117%17 Aug →
nuke16–120.0618%15 Aug →
ancient13–110.0128%15 Aug →
cache11–130.0315%14 Aug →
mirage13–16-0.0118%14 Aug →
inferno9–13-0.0424%14 Aug →
nuke16–140.0415%14 Aug →
dust26–130.017%14 Aug →
anubis13–11-0.0325%11 Aug →
nuke13–90.0017%11 Aug →
dust20–13-0.1025%7 Aug →
dust213–8-0.0426%7 Aug →
dust23–13-0.0223%7 Aug →
inferno13–110.0319%7 Aug →
cache13–40.0511%23 Jul →
nuke5–13-0.0521%9 May →
ancient10–130.1423%9 May →
overpass13–20.1529%9 May →
inferno16–13-0.0816%20 Oct →
ancient1–11-0.0433%20 Oct →
mirage13–8-0.0221%20 Oct →
inferno6–13-0.0416%14 Sept →
nuke6–13-0.0619%11 Sept →
ancient13–50.0412%11 Sept →
dust213–100.0119%11 Sept →
train14–16-0.0218%9 Sept →
mirage9–00.0414%9 Sept →
nuke10–13-0.0814%9 Sept →
dust215–15-0.0712%7 Sept →
overpass11–13-0.1010%7 Sept →
dust213–3-0.018%7 Sept →
mirage13–50.0414%7 Sept →
dust29–13-0.0220%7 Sept →
inferno15–15-0.0516%1 Sept →
dust213–60.0123%1 Sept →
dust24–13-0.068%29 Aug →
mirage4–13-0.080%29 Aug →
dust25–13-0.0313%20 Aug →
overpass16–14-0.0113%15 Aug →
inferno11–13-0.0315%15 Aug →
nuke8–13-0.1320%10 Aug →
dust28–13-0.069%4 Aug →
inferno13–9-0.0425%2 Aug →
dust26–13-0.0719%2 Aug →
inferno9–13-0.0620%2 Aug →
inferno13–16-0.109%30 Jul →
dust211–13-0.0411%30 Jul →
ancient13–90.0017%30 Jul →
dust211–13-0.0516%6 Jul →
mirage13–11-0.0416%26 Jun →
mirage1–13-0.0920%16 Jun →
anubis1–13-0.096%16 Jun →
inferno10–13-0.0512%16 Jun →
train13–90.0115%10 Jun →
ancient13–0-0.030%8 Jun →
dust29–13-0.059%8 Jun →
ancient3–13-0.087%7 Jun →
train4–13-0.0912%7 Jun →
ancient5–13-0.1025%7 Jun →
inferno13–9-0.0610%7 Jun →
dust213–11-0.0813%7 Jun →
dust213–16-0.0510%1 Jun →
dust25–13-0.059%1 Jun →
dust213–11-0.0410%31 May →
inferno13–11-0.0614%31 May →
dust213–60.1323%15 Apr →
ancient14–160.0918%14 Apr →
dust213–30.0724%9 Mar →
mirage13–7-0.0319%9 Mar →
anubis13–70.0913%12 Jul →
dust21–13-0.0117%12 Jul →
nuke13–60.0511%28 Jun →
anubis8–13-0.0024%28 Jun →
inferno13–50.0917%26 Jun →
dust23–13-0.0914%26 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 →

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