Dasm

Dasm — CS2 Stats

76561198108363796[U:1:148098068]Steam profile ↗✓ No bans

301Tracked matches39%Win rate2023Tracked since
CSDB Rating4.8 DevelopingPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (12 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 301 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 13,640 -77 25 Jan – 15 Mar · 7 days played
13,64014,770peak 14,77025 Jan15 Mar
14,999Peak Premier in tracked matches
40Days played since 2026-01-24

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

Performance scores

Aim51
Positioning64
Utility41

0–100 skill scores via Leetify.

Recent form

COLD50–45–5Last 10050%Win rateLLLLWLLLWW

Last 10 vs previous 10: 0pp win rate · −0.01 avg rating · +1.8pp headshot accuracy · −54ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 13%
  • Avg reaction 544ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 588ms

Last 20

  • 6–12–2 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 13%
  • Avg reaction 615ms

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 (+1.1 against its own average).

Aim5.1
Utility4.1
Positioning6.4
Opening Duels5.4

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.

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

m0NESY

Plays most like m0NESY 75% 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

Strengths

CT openings. 61% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

Areas to improve

T-side openings. Opening success drops from 61% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 607ms 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

Aim5.1
Positioning6.4
Utility4.1
Mechanics5.3
Opening Duels4.3
Win Impact1.4

Composite 4.8/10 (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 rating-0.01−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.01
Reaction time624ms+9ms
first ⅓ avg 616ms → last ⅓ avg 624ms
Headshot accuracy13.6%−0.3%
first ⅓ avg 13.8% → last ⅓ avg 13.6%

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

0.15Best match rating · 13–2 · cache, 29 Aug →
36%Best headshot accuracy · 10–1 · dust2, 1 Feb →
438msFastest reaction time · 7–13 · ancient, 29 Aug →
13–0Biggest win · nuke, 12 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L4Current streak
9–12In matches decided by ≤2 rounds
6Overtime games

Map breakdown

vertigoBest map · 75% over 8infernoWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
nukeA169–756%-0.01
anubisB126–650%0.01
mirageC125–742%-0.02
cacheB105–550%-0.01
dust2B105–550%0.03
ancientD93–633%0.01
overpassA95–456%-0.00
infernoD81–713%-0.01
vertigoS86–275%-0.02
train—44–0100%0.01
italy—11–0100%-0.02
alpine—10–10%-0.11

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (13% over 8). 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.

13.5%Headshot accuracy
33.5%Accuracy (enemy spotted)
33.7%Spray accuracy
74.0%Counter-strafing
10.4°Preaim
607msReaction time
32.9%T opening success
61.5%CT opening success
0.55Enemies flashed / flash
2.0%Flash assists
6.47HE damage / grenade
7.48Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 13.5206% — below the 15% mark we flag

    Aim Training →
  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 32.908% — below the 40% mark we flag

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.

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0317%9 Sept →
inferno10–13-0.0520%9 Sept →
nuke10–13-0.0611%7 Sept →
anubis6–13-0.0413%6 Sept →
anubis13–50.015%3 Sept →
anubis11–13-0.0318%3 Sept →
mirage8–13-0.0512%2 Sept →
dust28–130.0214%2 Sept →
nuke13–10-0.0218%1 Sept →
vertigo13–1-0.0213%1 Sept →
ancient13–11-0.0210%1 Sept →
nuke7–13-0.0513%1 Sept →
mirage0–13-0.040%1 Sept →
ancient12–120.0113%31 Aug →
dust215–15-0.0210%31 Aug →
cache10–13-0.029%30 Aug →
anubis13–20.0410%30 Aug →
cache13–11-0.0017%30 Aug →
cache11–13-0.0215%30 Aug →
nuke1–9-0.0525%30 Aug →
cache3–13-0.1221%30 Aug →
ancient7–13-0.0213%29 Aug →
overpass13–40.0716%29 Aug →
cache13–20.1516%29 Aug →
cache5–13-0.0416%28 Aug →
dust211–130.0316%28 Aug →
cache13–20.068%28 Aug →
mirage3–13-0.0611%28 Aug →
anubis13–6-0.0017%28 Aug →
dust213–60.0612%28 Aug →
nuke5–13-0.057%27 Aug →
inferno7–130.1317%27 Aug →
inferno12–12-0.0816%17 Aug →
mirage7–13-0.045%17 Aug →
cache13–10-0.0311%17 Aug →
dust214–160.0524%15 Aug →
train13–110.0514%14 Aug →
vertigo9–13-0.0616%14 Aug →
vertigo13–6-0.0110%13 Aug →
nuke13–10-0.028%13 Aug →
ancient6–13-0.079%13 Aug →
anubis5–13-0.0219%12 Aug →
nuke13–0-0.0121%12 Aug →
nuke6–130.0412%11 Aug →
anubis13–3-0.0216%10 Aug →
vertigo13–90.039%10 Aug →
cache13–9-0.0218%9 Aug →
overpass13–7-0.0613%18 Apr →
inferno12–12-0.0512%17 Apr →
dust213–40.0527%15 Apr →
vertigo1–13-0.0510%15 Apr →
mirage10–80.0123%15 Apr →
overpass13–10-0.0616%15 Mar →
inferno5–130.0515%14 Mar →
ancient10–130.0213%14 Mar →
mirage13–80.0617%11 Mar →
nuke13–110.0018%11 Mar →
italy13–10-0.0215%10 Mar →
train13–100.0210%10 Mar →
mirage8–13-0.0218%7 Mar →
vertigo13–8-0.042%7 Mar →
anubis11–130.0511%4 Mar →
vertigo13–6-0.0215%24 Feb →
nuke13–6-0.0213%15 Feb →
nuke1–13-0.0831%6 Feb →
anubis13–60.078%6 Feb →
dust213–110.0113%6 Feb →
alpine5–13-0.1116%6 Feb →
mirage6–13-0.0513%5 Feb →
inferno11–130.0415%5 Feb →
anubis13–50.0410%5 Feb →
nuke13–40.0615%4 Feb →
overpass11–13-0.0112%4 Feb →
nuke11–130.0317%1 Feb →
train13–8-0.0311%1 Feb →
inferno9–13-0.0533%1 Feb →
nuke10–00.026%1 Feb →
dust210–10.0536%1 Feb →
overpass13–70.0414%30 Jan →
vertigo13–11-0.0316%30 Jan →
train13–11-0.0114%29 Jan →
anubis7–13-0.006%28 Jan →
mirage13–7-0.0111%26 Jan →
overpass15–150.0118%26 Jan →
overpass13–90.057%25 Jan →
mirage13–10.0316%25 Jan →
mirage16–14-0.0316%25 Jan →
dust26–13-0.0516%25 Jan →
ancient11–130.0812%25 Jan →
nuke13–30.0610%25 Jan →
nuke13–60.039%25 Jan →
ancient11–13-0.0213%25 Jan →
ancient13–80.0110%25 Jan →
ancient13–80.056%25 Jan →
mirage10–13-0.015%25 Jan →
dust216–120.0625%24 Jan →
anubis14–16-0.0112%24 Jan →
overpass5–13-0.0812%24 Jan →
overpass3–130.0010%24 Jan →
inferno13–10-0.0414%24 Jan →

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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