Agent 47 — CS2 Stats

76561198922812388[U:1:962546660]

1,311Tracked matches46%Win rate2022Tracked since
CSDB Rating4.5 DevelopingSupport
Premier CS Rating14,832Blue band · top ~29.3% of ranked players (population est.)
CSDB Leaderboard#19485 of 30775 tracked
Ladder ranks via Leetify

Share this profile

CSDB.GGAgent 47PREMIER14,832 · Blue 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

Aim52
Positioning34
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY464410Last 10046%Win rateLLWLWWLWLW

Last 10 vs previous 10: +20pp win rate · +0.01 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim5.2
Aggression4.6
Utility7.1
Positioning3.4
Opening Duels1.3

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.

Your pro match

NiKo

Plays most like NiKo 83% playstyle similarity

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

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 45% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 576ms 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

Aim5.2
Positioning3.4
Utility7.1
Mechanics5.5
Opening Duels1.9
Win Impact3.8

Composite 4.5/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time578ms−39ms
first ⅓ avg 618ms → last ⅓ avg 578ms
Headshot accuracy13.6%+1.4%
first ⅓ avg 12.2% → 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.

Highlights

0.14Best rating — cache 13–5
130Biggest win — inferno
5Longest win streak
L2Current streak
68In matches decided by ≤2 rounds
6Overtime games

Map breakdown

mirageBest map · 88% over 8vertigoWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
dust2A23131057%-0.01
infernoB136746%0.00
ancientD103730%0.00
nukeC94544%0.01
officeD93633%0.02
mirageS87188%0.02
cacheD72529%0.02
anubisC73443%0.04
vertigoD61517%0.01
shelter32167%0.09
overpass21150%0.04
train21150%-0.02
fachwerk1010%-0.04

Across the last 100 tracked matches.

Vertigo is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Vertigo 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.

13.1%Headshot accuracy
34.0%Accuracy (enemy spotted)
38.2%Spray accuracy
74.8%Counter-strafing
12.5°Preaim
576msReaction time
25.1%T opening success
45.0%CT opening success
0.62Enemies flashed / flash
6.6%Flash assists
14.07HE damage / grenade
11.47Flashes / 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 12.5362° — 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 13.0799% — below the 15% mark we flag

    Aim Training
Spend your practice time on Vertigo

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Vertigo callouts & strategyVertigo grenade lineups

Recent matches

MapScoreRatingHS%Date
dust23–13-0.0623%29 Aug
vertigo11–13-0.037%12 Aug
cache13–50.1429%12 Aug
vertigo8–110.0119%10 Aug
shelter13–40.0521%10 Aug
dust213–10-0.0111%7 Aug
dust28–13-0.008%7 Aug
nuke13–80.020%6 Aug
cache6–130.0214%1 Aug
mirage13–70.076%1 Aug
inferno13–50.0310%1 Aug
ancient8–13-0.0413%30 Jul
dust27–13-0.0318%29 Jul
overpass12–120.0510%27 Jul
office6–130.007%26 Jul
mirage13–30.0737%26 Jul
office11–13-0.0018%23 Jul
vertigo7–130.0913%23 Jul
anubis13–11-0.013%22 Jul
anubis9–13-0.0211%22 Jul
dust22–13-0.075%21 Jul
inferno13–100.0115%21 Jul
dust213–70.0532%21 Jul
mirage13–9-0.0413%21 Jul
cache12–16-0.0315%21 Jul
shelter6–130.1017%19 Jul
dust213–90.0514%16 Jul
vertigo12–120.0211%14 Jul
inferno13–10-0.040%14 Jul
dust210–13-0.057%14 Jul
dust213–6-0.047%14 Jul
inferno13–00.0317%14 Jul
inferno13–10-0.0317%13 Jul
mirage13–4-0.0036%13 Jul
office8–13-0.05100%13 Jul
ancient13–20.030%13 Jul
anubis4–130.0216%12 Jul
anubis7–13-0.0111%11 Jul
ancient11–13-0.0715%11 Jul
dust211–13-0.0414%11 Jul
train13–6-0.030%11 Jul
office12–12-0.0227%11 Jul
ancient13–60.048%11 Jul
dust28–130.0120%11 Jul
shelter13–70.1322%11 Jul
inferno12–120.1031%11 Jul
fachwerk6–13-0.047%10 Jul
office6–130.1313%10 Jul
inferno5–13-0.0320%10 Jul
nuke8–13-0.0214%10 Jul
dust213–6-0.0121%10 Jul
mirage13–7-0.0114%10 Jul
nuke13–4-0.0650%10 Jul
inferno6–13-0.0615%10 Jul
cache13–11-0.026%10 Jul
dust211–13-0.0211%10 Jul
office9–130.035%9 Jul
train9–13-0.0112%9 Jul
vertigo11–13-0.0711%9 Jul
dust213–5-0.0021%9 Jul
mirage13–30.0518%9 Jul
nuke13–20.0410%9 Jul
ancient12–12-0.0612%8 Jul
cache12–120.0013%7 Jul
anubis13–70.1314%7 Jul
anubis8–130.1112%7 Jul
cache9–130.0513%7 Jul
nuke12–120.0014%7 Jul
ancient11–130.079%7 Jul
inferno16–120.0213%6 Jul
ancient3–130.0019%6 Jul
nuke15–150.0811%6 Jul
dust213–30.0628%5 Jul
cache10–13-0.0315%5 Jul
nuke13–100.065%2 Jul
overpass13–70.049%2 Jul
mirage13–100.0827%2 Jul
mirage9–13-0.016%2 Jul
inferno8–13-0.0216%2 Jul
dust213–60.037%2 Jul
dust213–0-0.0314%2 Jul
dust213–40.0322%2 Jul
vertigo13–70.0212%1 Jul
office13–110.0517%1 Jul
inferno15–150.029%30 Jun
inferno5–13-0.0110%29 Jun
ancient16–140.049%29 Jun
dust213–100.0317%29 Jun
dust23–13-0.100%29 Jun
ancient14–160.0015%28 Jun
anubis13–90.0611%28 Jun
inferno9–13-0.036%26 Jun
dust22–13-0.096%26 Jun
dust213–30.0512%26 Jun
ancient6–130.0113%25 Jun
nuke12–120.012%25 Jun
nuke8–13-0.0211%23 Jun
office13–30.0411%23 Jun
office13–110.0511%23 Jun
dust213–110.0113%23 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 →