DansDoingDabs™

DansDoingDabs™ — CS2 Stats

US76561199047828613[U:1:1087562885]Steam profile ↗✓ No bans

332Tracked matches28%Win rate2023Tracked since
279Hours in CS
CSDB Rating1.4 Learning
Premier CS Rating2,297Grey band · top ~90.3% of ranked players (population est.)
CSDB Leaderboard#26242 of 33458 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Light Blue band among CSDB-tracked players (n=404), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLight Blue band medianvs Light Blue band
Headshot rate40.5%40.1%meets
Shot accuracy1.7%7.6%5.9% short
Kill/death ratio0.690.920.23 short
Match win rate34.3%42.2%7.9% short

This profile matches the typical Light Blue band player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Light Blue band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGDansDoingDabs™PREMIER2,297 · Grey bandcsdb.gg/stats

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Performance scores

Aim15
Positioning29
Utility16

0–100 skill scores via Leetify.

Recent form

STEADY40537Last 10040%Win rateLWLWLLWLLW

Last 10 vs previous 10: +40pp win rate · -0.02 avg rating

Player DNA

Aim1.5
Aggression2.7
Utility1.6
Positioning2.9
Opening Duels0.0
Clutch0.0

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

NiKo

Plays most like NiKo 60% 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. 724ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 58% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim1.5
Positioning2.9
Utility1.6
Mechanics1.7
Opening Duels0.0
Win Impact0.0

Composite 1.4/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time734ms−37ms
first ⅓ avg 771ms → last ⅓ avg 734ms
Headshot accuracy9.3%−2.3%
first ⅓ avg 11.7% → last ⅓ avg 9.3%

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

0.11Best rating — dust2 13–0
130Biggest win — dust2
5Longest win streak
32In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 50% over 10anubisWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C28121643%-0.04
mirageC156940%-0.05
nukeD103730%-0.03
ancientB105550%-0.04
cacheB105550%-0.04
anubisD92722%-0.05
infernoD72529%-0.05
overpass41325%-0.02
vertigo31233%-0.05
office220100%-0.07
train21150%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,489Lifetime kills
0.69K/D
805Matches
34.3%Match win rate
40.5%Headshot %
1.7%Shot accuracy
958MVPs
279Hours (in match)
596Bombs planted
100Bombs defused

Most-used weapons

Lifetime map wins

1,586dust2
957inferno
727vertigo
655nuke
235office
76train
24italy
3ar_baggage

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

3Matches
0%Win rate
0.22Avg K/D
39.1ADR
23%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
0Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Vertigo10%0.000.0
Dust210%0.244.0
Nuke10%0.417.0

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.

9.4%Headshot accuracy
31.6%Accuracy (enemy spotted)
31.6%Spray accuracy
57.7%Counter-strafing
12.6°Preaim
724msReaction time
26.6%T opening success
28.8%CT opening success
0.49Enemies flashed / flash
3.1%Flash assists
4.20HE damage / grenade
1.78Flashes / 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 12.5587° — above the 12° mark we flag

    Aim Training
  2. 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 9.3641% — below the 15% mark we flag

    Aim Training
  3. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 723.6778ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Anubis

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

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage9–13-0.087%4 Jun
dust213–10-0.0411%31 May
nuke3–13-0.057%31 May
mirage13–11-0.0314%31 May
ancient7–13-0.0414%31 May
dust22–13-0.0713%30 May
anubis13–3-0.050%30 May
anubis9–13-0.0716%30 May
nuke7–13-0.090%29 May
dust213–00.1113%29 May
dust25–13-0.029%26 May
nuke7–130.089%26 May
dust26–13-0.109%25 May
mirage8–13-0.034%25 May
nuke6–130.0510%25 May
nuke6–130.0114%25 May
mirage9–13-0.077%25 May
ancient3–13-0.088%25 May
anubis14–16-0.058%25 May
dust22–13-0.0413%25 May
mirage8–13-0.039%25 May
mirage4–13-0.0213%24 May
dust213–16-0.076%24 May
inferno15–15-0.1211%24 May
ancient8–13-0.032%23 May
nuke13–90.0110%23 May
nuke13–2-0.0110%23 May
anubis3–13-0.044%21 May
overpass13–6-0.0211%21 May
dust213–7-0.0420%19 May
dust25–13-0.109%18 May
office13–5-0.0712%18 May
office13–4-0.066%18 May
inferno3–13-0.086%18 May
mirage9–13-0.1315%17 May
mirage13–10-0.0312%17 May
dust27–13-0.036%17 May
overpass2–13-0.0612%16 May
dust210–130.0318%13 May
dust28–3-0.0412%11 May
ancient5–13-0.078%11 May
inferno6–130.0121%11 May
cache4–13-0.079%10 May
dust212–12-0.0516%10 May
cache2–13-0.037%10 May
ancient4–10.0219%10 May
vertigo1–13-0.0721%10 May
inferno10–13-0.0013%10 May
nuke13–9-0.0312%10 May
cache13–6-0.0117%10 May
mirage13–3-0.078%9 May
ancient13–4-0.087%9 May
cache13–1-0.030%9 May
cache1–13-0.0221%9 May
inferno6–13-0.0916%9 May
dust29–13-0.042%9 May
mirage16–13-0.0011%9 May
cache13–10-0.017%8 May
cache8–13-0.0716%7 May
cache5–13-0.0615%6 May
inferno13–7-0.089%4 May
anubis5–13-0.047%3 May
ancient13–8-0.0410%3 May
anubis13–11-0.026%3 May
dust216–14-0.048%3 May
dust213–7-0.0214%2 May
dust213–6-0.0317%2 May
dust22–13-0.0518%1 May
cache13–5-0.0311%29 Apr
cache13–7-0.0914%29 Apr
dust213–80.0126%27 Apr
dust215–15-0.0619%27 Apr
vertigo12–12-0.025%26 Apr
dust213–70.0116%26 Apr
dust211–13-0.0913%25 Apr
inferno13–9-0.0318%25 Apr
dust213–9-0.056%25 Apr
anubis9–13-0.045%25 Apr
nuke13–16-0.0516%25 Apr
train13–9-0.0210%24 Apr
train1–13-0.0711%24 Apr
dust210–13-0.0210%23 Apr
ancient13–7-0.028%23 Apr
dust28–13-0.0810%22 Apr
nuke1–6-0.170%21 Apr
dust29–13-0.085%21 Apr
mirage13–60.058%20 Apr
overpass8–130.0319%20 Apr
vertigo13–8-0.055%20 Apr
mirage13–10-0.0421%20 Apr
mirage7–13-0.077%20 Apr
mirage12–12-0.106%19 Apr
anubis7–13-0.0413%19 Apr
dust213–1-0.129%19 Apr
overpass12–12-0.0410%18 Apr
ancient13–5-0.0525%18 Apr
anubis12–12-0.0817%18 Apr
ancient10–13-0.035%17 Apr
mirage1–13-0.0810%17 Apr
dust213–8-0.119%17 Apr

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 →