dasmako — CS2 Stats

76561197960679208[U:1:413480]

2,809Tracked matches60%Win rate2020Tracked since
CSDB Rating6.6 SolidAggressive Rifler
WingmanLegendary Eagle Master
Ladder ranks via Leetify

Performance scores

Aim75
Positioning63
Utility57

0–100 skill scores via Leetify.

Recent form

STEADY55396Last 10055%Win rateWWLLWWWWLL

Last 10 vs previous 10: +20pp win rate · -0.05 avg rating

Player DNA

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

Aim7.5
Aggression7.4
Utility5.7
Positioning6.3
Opening Duels3.9

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 93% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Reaction time. 597ms 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

Aim7.5
Positioning6.3
Utility5.7
Mechanics6.8
Opening Duels3.9
Win Impact8.3

Composite 6.6/10 (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 rating0.02−0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time599ms+12ms
first ⅓ avg 587ms → last ⅓ avg 599ms
Headshot accuracy23.8%+0.8%
first ⅓ avg 23.0% → last ⅓ avg 23.8%

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

0.25Best rating — debris 9–1
133Biggest win — cache
7Longest win streak
W2Current streak
53In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 75% over 8infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2A2113862%0.01
cacheA1710759%0.02
infernoD103730%-0.02
nukeS86275%0.04
vertigoA74357%0.01
anubisS64267%0.02
officeD62433%0.03
mirageC52340%0.01
alpine42250%0.04
fachwerk31233%0.04
debris220100%0.09
train2020%0.05
shelter220100%0.04
warden21150%0.04
eldorado110100%0.17
poseidon110100%0.03
boulder1010%-0.02
italy110100%0.03
ancient1010%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno 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.

24.0%Headshot accuracy
39.5%Accuracy (enemy spotted)
39.7%Spray accuracy
80.6%Counter-strafing
13.1°Preaim
597msReaction time
38.7%T opening success
52.4%CT opening success
0.52Enemies flashed / flash
7.9%Flash assists
6.30HE damage / grenade
11.16Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.1296° — above the 12° mark we flag

    Aim Training
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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–90.0317%18 Aug
debris9–5-0.0711%13 Aug
inferno6–9-0.1018%13 Aug
inferno3–9-0.1418%13 Aug
vertigo13–100.0626%7 Aug
dust213–80.0531%7 Aug
cache13–30.1315%7 Aug
nuke13–10-0.0327%30 Jul
mirage7–13-0.0521%25 Jul
fachwerk11–130.0318%25 Jul
vertigo9–13-0.0420%25 Jul
inferno6–9-0.0443%25 Jul
eldorado9–20.1728%25 Jul
poseidon9–20.0324%25 Jul
debris9–10.2520%25 Jul
cache7–13-0.0315%21 Jul
train10–130.0324%21 Jul
shelter13–10-0.0016%16 Jul
cache3–13-0.0421%16 Jul
fachwerk10–130.0742%16 Jul
dust213–90.0439%16 Jul
nuke13–70.1230%16 Jul
anubis13–5-0.0218%15 Jul
cache13–100.0127%15 Jul
shelter13–80.0821%9 Jul
fachwerk13–110.0318%9 Jul
boulder6–13-0.0233%9 Jul
nuke13–40.0725%8 Jul
anubis11–130.0121%5 Jul
inferno13–90.0320%5 Jul
mirage9–13-0.0022%5 Jul
dust213–90.0531%5 Jul
warden13–90.0326%4 Jul
alpine6–13-0.0219%4 Jul
nuke13–50.0919%4 Jul
cache13–30.0818%4 Jul
anubis10–130.0233%4 Jul
vertigo13–40.0317%4 Jul
mirage13–100.0320%4 Jul
inferno13–10-0.0416%4 Jul
dust29–8-0.0225%4 Jul
cache4–13-0.0417%3 Jul
dust27–5-0.0325%3 Jul
inferno9–130.0216%3 Jul
alpine12–120.0325%3 Jul
cache12–120.0919%3 Jul
nuke10–13-0.0030%3 Jul
inferno13–8-0.0121%3 Jul
dust213–9-0.0232%3 Jul
vertigo9–13-0.0420%2 Jul
inferno9–130.0419%2 Jul
dust27–13-0.0216%2 Jul
italy13–110.0330%1 Jul
train8–130.0817%27 Jun
nuke7–13-0.0728%27 Jun
dust213–10-0.0018%27 Jun
mirage9–130.0229%27 Jun
dust212–160.0022%27 Jun
cache9–13-0.0115%26 Jun
mirage13–60.0419%24 Jun
anubis13–70.0527%24 Jun
dust210–130.0418%24 Jun
anubis13–5-0.0625%22 Jun
dust29–13-0.0115%22 Jun
alpine13–70.0618%19 Jun
anubis13–90.1030%19 Jun
nuke13–80.0943%19 Jun
office6–13-0.0543%19 Jun
dust213–70.0429%19 Jun
cache13–4-0.0212%19 Jun
ancient9–130.0722%10 Jun
dust213–7-0.0120%10 Jun
cache13–60.0316%10 Jun
dust213–70.0014%8 Jun
vertigo13–6-0.0311%8 Jun
vertigo13–100.0422%3 Jun
dust213–9-0.0421%28 May
dust213–90.0516%22 May
inferno8–13-0.0217%22 May
dust211–13-0.0413%21 May
cache13–80.2220%17 May
office6–130.0325%17 May
dust212–12-0.0117%15 May
vertigo8–130.0221%14 May
inferno8–130.0327%14 May
office13–100.0529%8 May
dust29–130.0320%8 May
cache13–11-0.0314%8 May
office12–120.0631%7 May
warden12–120.0523%7 May
cache13–90.0124%7 May
cache12–12-0.0017%7 May
alpine13–40.1022%6 May
cache2–13-0.0624%6 May
office6–130.0030%5 May
nuke13–60.0943%5 May
cache13–6-0.0319%5 May
office13–60.0828%4 May
dust21–130.0232%4 May
cache13–70.0835%4 May

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 →