Dan3041 — CS2 Stats

76561198371083928[U:1:410818200]

80Tracked matches56%Win rate2020Tracked since
515Hours in CS1Hrs last 2 wks
CSDB Rating4.6 Developing
Premier CS Rating12,477Blue band · top ~41.8% of ranked players (population est.)
CSDB Leaderboard#19959 of 28926 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=1,240), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate51.2%41.7%44.1%above
Shot accuracy12.6%8.8%11.4%above
Kill/death ratio0.680.971.030.35 short
Match win rate34.6%43.8%45.2%10.5% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGDan3041PREMIER12,477 · Blue bandcsdb.gg/stats

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Performance scores

Aim46
Positioning48
Utility51

0–100 skill scores via Leetify.

Recent form

STEADY36338Last 7747%Win rateTWTWLLWWLL

Last 10 vs previous 10: -20pp win rate · +0.02 avg rating

Player DNA

Aim4.6
Aggression6.6
Utility5.1
Positioning4.8
Opening Duels3.0

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

b1t

Plays most like b1t 83% playstyle similarity

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

Where you differ: lower positioning profile; 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 53% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 644ms 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

Aim4.6
Positioning4.8
Utility5.1
Mechanics5.1
Opening Duels3.0
Win Impact6.9

Composite 4.6/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.03
first ⅓ avg -0.04 → last ⅓ avg -0.01
Reaction time641ms−81ms
first ⅓ avg 722ms → last ⅓ avg 641ms
Headshot accuracy16.3%−6.5%
first ⅓ avg 22.9% → last ⅓ avg 16.3%

Rolling 5-match average across the last 77 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.13Best rating — dust2 13–4
132Biggest win — dust2
5Longest win streak
57In matches decided by ≤2 rounds
4Overtime games

Map breakdown

dust2Best map · 57% over 21infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
dust2A2112957%-0.02
mirageB158753%-0.00
infernoC114736%-0.01
nukeC114736%-0.05
anubis42250%-0.04
overpass43175%-0.00
cache31233%0.01
vertigo3030%0.01
train220100%-0.02
ancient2020%-0.08
office1010%0.03

Across the last 77 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

13,397Lifetime kills
0.68K/D
560Matches
34.6%Match win rate
51.2%Headshot % · Top 25% of Blue band
12.6%Shot accuracy · Top 50% of Blue band
2,598MVPs
570Hours (in match)
530Bombs planted
125Bombs defused

Most-used weapons

Lifetime map wins

1,714dust2
501inferno
280nuke
86train
73office
64cbble
47vertigo
17aztec

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

Skill profile

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

16.7%Headshot accuracy
36.8%Accuracy (enemy spotted)
38.8%Spray accuracy
73.0%Counter-strafing
14.8°Preaim
644msReaction time
30.5%T opening success
53.4%CT opening success
0.58Enemies flashed / flash
5.0%Flash assists
8.73HE damage / grenade
13.90Flashes / 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 14.7676° — 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.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache12–120.0118%15 May
inferno13–80.0318%15 May
office12–120.0315%15 May
mirage13–60.0120%15 May
nuke6–13-0.0318%15 May
nuke5–13-0.0416%12 May
dust213–11-0.0117%12 May
cache13–70.0516%6 May
inferno5–130.0114%5 May
cache5–13-0.0314%1 May
vertigo1–5-0.026%29 Apr
anubis13–10-0.0316%29 Apr
dust213–11-0.0122%26 Apr
train13–8-0.039%23 Apr
train13–7-0.0014%22 Apr
nuke13–16-0.0716%18 Apr
mirage13–70.0123%18 Apr
inferno13–5-0.0223%17 Apr
nuke7–13-0.0321%16 Apr
overpass7–130.0225%15 Apr
mirage13–10-0.0518%12 Apr
anubis3–13-0.045%11 Apr
dust213–9-0.0313%11 Apr
vertigo6–130.0619%8 Apr
vertigo12–12-0.0114%8 Apr
nuke13–7-0.0328%6 Apr
nuke14–16-0.078%6 Apr
inferno13–9-0.0414%6 Apr
dust213–5-0.0523%6 Apr
dust28–130.0417%5 Apr
inferno12–120.0226%4 Apr
ancient12–12-0.0421%3 Apr
dust213–40.1324%2 Apr
dust29–13-0.0211%1 Apr
mirage15–15-0.0216%1 Apr
dust213–20.0118%1 Apr
mirage13–3-0.0218%1 Apr
dust213–9-0.0219%1 Apr
dust210–130.1128%1 Apr
anubis11–13-0.0611%1 Apr
overpass13–50.0514%1 Apr
mirage5–130.0126%1 Apr
inferno6–130.0123%1 Apr
anubis13–11-0.0322%1 Apr
nuke5–13-0.0723%1 Apr
mirage5–130.0415%1 Apr
mirage13–50.0832%31 Mar
dust26–13-0.0921%31 Mar
mirage15–150.0120%31 Mar
inferno11–13-0.0516%31 Mar
inferno2–13-0.087%31 Mar
dust211–13-0.0318%31 Mar
inferno8–130.0320%31 Mar
inferno13–9-0.0125%31 Mar
dust213–30.0126%31 Mar
inferno11–13-0.0916%31 Mar
mirage11–13-0.048%30 Mar
mirage11–130.0426%30 Mar
nuke6–13-0.0829%30 Mar
dust29–13-0.0910%29 Mar
ancient0–7-0.1120%29 Mar
overpass13–10-0.0632%28 Mar
mirage13–10-0.0128%28 Mar
nuke13–8-0.0350%28 Mar
dust210–13-0.0534%28 Mar
nuke13–9-0.0631%28 Mar
dust212–12-0.0624%27 Mar
mirage13–5-0.0215%26 Mar
nuke13–4-0.0322%26 Mar
dust213–6-0.0617%24 Mar
dust213–11-0.0728%24 Mar
overpass13–3-0.0132%17 Mar
dust26–13-0.055%27 Dec
dust213–8-0.0316%28 Aug
mirage8–13-0.0617%16 Aug
dust213–5-0.0622%26 Feb
mirage13–11-0.0218%3 Jun

Match data via Leetify.

Recent teammates

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