Daredevil — CS2 Stats

76561198934645167[U:1:974379439]

1,682Tracked matches52%Win rate2022Tracked since
2,334Hours in CS19Hrs last 2 wks
CSDB Rating3.7 Learning
Premier CS Rating3,536Grey band · top ~85% of ranked players (population est.)
CSDB Leaderboard#19690 of 25314 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 rate33.3%40.1%6.8% short
Shot accuracy7.8%7.6%above
Kill/death ratio0.820.920.10 short
Match win rate38.9%42.2%3.2% short

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

Widest gap: Headshot rate. 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.

Share this profile

CSDB.GGDaredevilPREMIER3,536 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim28
Positioning52
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY45505Last 10045%Win rateLWWWLLLLWW

Last 10 vs previous 10: +0pp win rate · +0.02 avg rating

Player DNA

Aim2.8
Aggression7.8
Utility4.3
Positioning5.2
Opening Duels3.4
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

ropz

Plays most like ropz 79% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

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. 725ms 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

Aim2.8
Positioning5.2
Utility4.3
Mechanics4.6
Opening Duels3.4
Win Impact5.6

Composite 3.7/10 (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-0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg -0.00
Reaction time742ms−46ms
first ⅓ avg 787ms → last ⅓ avg 742ms
Headshot accuracy10.4%−0.1%
first ⅓ avg 10.5% → last ⅓ avg 10.4%

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

0.14Best rating — dust2 13–3
130Biggest win — cache
4Longest win streak
47In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 56% over 18infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B27131448%0.01
mirageC2291341%0.00
nukeA1810856%-0.01
infernoD124833%0.00
cacheB115645%-0.02
anubisC52340%-0.02
ancient31233%-0.06
overpass110100%-0.00
train1010%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

50,318Lifetime kills
0.82K/D
3,986Matches
38.9%Match win rate
33.3%Headshot %
7.8%Shot accuracy
3,984MVPs
1,491Hours (in match)
2,134Bombs planted
467Bombs defused

Most-used weapons

AWP9,740
AK-476,279
SG 5532,205
FAMAS1,350
MP71,253
P901,224

Lifetime map wins

9,719dust2
3,510nuke
2,919inferno
1,434vertigo
331train
162office
129cbble
125italy

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

Faceit stats

Combat

2Matches
0%Win rate
0.30Avg K/D
27.6ADR
22%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Nuke10%0.428.0
Anubis10%0.183.0

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.

10.5%Headshot accuracy
27.7%Accuracy (enemy spotted)
28.1%Spray accuracy
70.6%Counter-strafing
7.9°Preaim
725msReaction time
39.4%T opening success
47.6%CT opening success
0.55Enemies flashed / flash
4.6%Flash assists
10.38HE damage / grenade
8.01Flashes / 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 10.4734% — below the 15% mark we flag

    Aim Training
  2. 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 725.3525ms — above the 700ms mark we flag

    Aim Training
  3. 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 39.3933% — 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust210–13-0.0310%28 Aug
dust213–70.090%28 Aug
nuke13–11-0.013%28 Aug
dust213–70.0710%27 Aug
dust211–13-0.0117%27 Aug
dust27–13-0.078%27 Aug
mirage10–130.0214%27 Aug
mirage8–130.0314%27 Aug
dust213–9-0.039%27 Aug
dust213–11-0.0110%26 Aug
nuke13–7-0.0223%26 Aug
mirage8–13-0.025%26 Aug
dust24–13-0.0913%26 Aug
nuke13–9-0.0214%16 Aug
cache13–80.019%15 Aug
nuke13–50.049%15 Aug
anubis3–13-0.118%15 Aug
inferno15–150.037%14 Aug
dust213–70.0414%14 Aug
mirage2–13-0.0112%14 Aug
cache13–10-0.016%10 Aug
nuke13–50.015%10 Aug
dust27–13-0.0718%9 Aug
nuke4–13-0.0311%9 Aug
cache1–13-0.070%8 Aug
nuke3–130.1220%8 Aug
dust24–130.0015%8 Aug
inferno13–80.019%8 Aug
inferno13–10-0.0516%8 Aug
mirage13–80.027%6 Aug
mirage9–13-0.049%6 Aug
mirage13–70.0412%5 Aug
dust28–00.028%5 Aug
mirage2–13-0.0619%4 Aug
inferno9–13-0.039%4 Aug
dust25–130.069%1 Aug
nuke1–13-0.077%30 Jul
mirage13–90.037%30 Jul
mirage13–70.0017%30 Jul
dust213–110.1214%30 Jul
anubis1–13-0.0625%26 Jul
mirage13–9-0.0220%26 Jul
anubis13–60.1033%26 Jul
dust27–130.0421%24 Jul
nuke13–50.055%24 Jul
cache13–00.0415%20 Jul
nuke5–13-0.0913%20 Jul
mirage13–30.0914%20 Jul
inferno9–13-0.0322%20 Jul
dust211–130.0311%19 Jul
cache15–15-0.046%19 Jul
dust213–80.0114%19 Jul
nuke13–60.078%19 Jul
inferno11–130.0817%19 Jul
dust213–50.0119%19 Jul
dust26–13-0.096%19 Jul
nuke15–15-0.0312%18 Jul
dust211–13-0.0711%18 Jul
inferno15–150.0218%18 Jul
anubis4–13-0.0324%17 Jul
mirage13–160.0114%17 Jul
cache7–13-0.0311%17 Jul
mirage9–130.0212%16 Jul
ancient6–13-0.0812%16 Jul
cache10–13-0.0318%16 Jul
anubis13–6-0.015%11 Jul
cache13–40.027%7 Jul
dust23–130.0112%6 Jul
nuke15–15-0.0318%5 Jul
mirage13–40.006%4 Jul
inferno7–130.005%4 Jul
mirage5–13-0.066%4 Jul
nuke13–6-0.039%4 Jul
mirage5–13-0.037%4 Jul
nuke4–13-0.0711%4 Jul
inferno11–13-0.0212%4 Jul
dust213–20.057%4 Jul
nuke13–9-0.069%4 Jul
nuke14–16-0.0310%3 Jul
inferno13–100.018%3 Jul
dust213–5-0.014%3 Jul
dust213–100.025%3 Jul
overpass13–6-0.0012%2 Jul
ancient5–13-0.058%2 Jul
train3–13-0.057%19 Jun
ancient13–11-0.058%19 Jun
mirage4–13-0.0119%18 Jun
mirage13–5-0.0116%18 Jun
cache13–3-0.0823%17 Jun
dust212–160.0121%17 Jun
mirage8–130.0124%17 Jun
dust213–30.1418%16 Jun
mirage3–130.067%15 Jun
inferno7–13-0.044%15 Jun
mirage13–9-0.0011%15 Jun
inferno13–100.0410%15 Jun
nuke13–100.017%14 Jun
cache2–13-0.137%14 Jun
cache11–130.047%14 Jun
dust210–13-0.0213%14 Jun

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 →