JD Vance Sold Me Fent — CS2 Stats

76561198359560802[U:1:399295074]

522Tracked matches52%Win rate2022Tracked since
651Hours in CS7Hrs last 2 wks
CSDB Rating3.7 Learning
Ladder ranks via Leetify

Performance scores

Aim32
Positioning42
Utility32

0–100 skill scores via Leetify.

Recent form

STEADY41518Last 10041%Win rateLWWLLWWLLW

Last 10 vs previous 10: +20pp win rate · +0.04 avg rating

Player DNA

Aim3.2
Aggression3.1
Utility3.2
Positioning4.2
Opening Duels0.9

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 69% playstyle similarity

Most alike: opening-duel success, positioning profile.

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

T-side openings. Opening success drops from 43% on CT to 24% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 732ms 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

Aim3.2
Positioning4.2
Utility3.2
Mechanics4.8
Opening Duels1.7
Win Impact5.6

Composite 3.7/10 (Learning), 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-0.03+0.01
first ⅓ avg -0.04 → last ⅓ avg -0.03
Reaction time731ms−26ms
first ⅓ avg 757ms → last ⅓ avg 731ms
Headshot accuracy12.4%+0.1%
first ⅓ avg 12.3% → last ⅓ avg 12.4%

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

0.09Best rating — vertigo 7–9
132Biggest win — dust2
6Longest win streak
58In matches decided by ≤2 rounds
3Overtime games

Map breakdown

officeBest map · 80% over 5nukeWeakest map · 23% over 13
MapGradePlayedRecordWin rateAvg rating
cacheD1961332%-0.04
dust2B137654%-0.03
nukeD1331023%-0.06
mirageA127558%-0.03
infernoD103730%-0.06
ancientC83538%-0.05
anubisS75271%-0.01
vertigoD62433%0.01
officeS54180%-0.00
shelter2020%-0.02
train2020%-0.09
fachwerk110100%0.03
warden1010%-0.03
overpass1010%-0.06

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (23% over 13). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

25,175Lifetime kills
0.81K/D
2,085Matches
27.2%Match win rate
31.2%Headshot %
11.5%Shot accuracy
932MVPs
404Hours (in match)
915Bombs planted
138Bombs defused

Most-used weapons

Lifetime map wins

1,895dust2
1,088nuke
622inferno
415vertigo
329office
265train
97ar_shoots
68ar_baggage

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.

12.7%Headshot accuracy
32.8%Accuracy (enemy spotted)
37.2%Spray accuracy
71.5%Counter-strafing
12.4°Preaim
732msReaction time
23.8%T opening success
43.3%CT opening success
0.42Enemies flashed / flash
8.1%Flash assists
10.79HE damage / grenade
1.73Flashes / 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 12.4153° — 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 12.709% — 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 732.211ms — above the 700ms mark we flag

    Aim Training
Spend your practice time on Nuke

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

23% win rate across 13 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0213%27 Aug
dust27–0-0.010%27 Aug
anubis13–50.0111%26 Aug
dust211–13-0.0210%20 Aug
nuke10–130.0210%19 Aug
cache13–7-0.082%19 Aug
cache4–00.010%19 Aug
mirage6–13-0.0715%17 Aug
inferno7–13-0.085%17 Aug
anubis16–130.0414%13 Aug
inferno13–10-0.0519%11 Aug
nuke12–12-0.0710%7 Aug
cache8–13-0.0411%7 Aug
nuke11–13-0.0514%5 Aug
ancient5–13-0.1115%5 Aug
dust210–13-0.0618%5 Aug
ancient13–5-0.0419%3 Aug
cache12–12-0.0710%1 Aug
ancient13–11-0.0813%1 Aug
dust28–13-0.0719%1 Aug
cache8–13-0.057%31 Jul
dust213–6-0.0118%31 Jul
ancient5–13-0.0511%30 Jul
cache12–120.0221%30 Jul
ancient13–70.0310%30 Jul
dust213–100.0017%30 Jul
nuke3–13-0.0413%30 Jul
mirage13–7-0.0110%30 Jul
vertigo13–3-0.0112%29 Jul
anubis13–70.0216%24 Jul
anubis8–13-0.0714%24 Jul
office11–13-0.0416%13 Jul
office13–90.0018%13 Jul
cache5–13-0.0811%11 Jul
shelter12–12-0.0110%9 Jul
cache1–13-0.0215%9 Jul
shelter9–13-0.049%9 Jul
fachwerk13–100.039%9 Jul
mirage8–13-0.087%8 Jul
cache7–130.028%4 Jul
inferno9–13-0.060%3 Jul
cache13–7-0.085%2 Jul
nuke8–13-0.069%1 Jul
nuke12–16-0.057%26 Jun
vertigo10–13-0.0112%26 Jun
cache13–11-0.0211%24 Jun
anubis13–40.0114%24 Jun
cache13–10-0.0313%24 Jun
inferno13–40.037%23 Jun
vertigo13–6-0.019%23 Jun
nuke13–8-0.0114%19 Jun
train7–13-0.1111%18 Jun
office13–90.0114%18 Jun
nuke10–13-0.0512%17 Jun
dust27–13-0.0521%17 Jun
dust213–11-0.0410%12 Jun
dust213–3-0.0317%11 Jun
inferno9–13-0.0810%11 Jun
vertigo6–13-0.088%10 Jun
ancient11–13-0.0311%10 Jun
vertigo12–120.0723%8 Jun
cache12–12-0.0617%8 Jun
office13–60.0119%5 Jun
mirage13–40.0322%5 Jun
cache11–13-0.0311%4 Jun
mirage1–13-0.0811%27 May
train6–13-0.079%27 May
cache13–10-0.0020%27 May
mirage8–13-0.0314%8 May
vertigo7–90.0919%7 May
mirage13–90.066%7 May
office13–7-0.0112%7 May
nuke13–9-0.1014%5 May
inferno3–13-0.069%5 May
anubis10–13-0.0110%5 May
mirage13–7-0.056%2 May
dust212–12-0.037%2 May
inferno10–13-0.057%30 Apr
nuke4–13-0.0911%30 Apr
mirage13–7-0.075%29 Apr
cache12–12-0.0319%29 Apr
cache9–13-0.0814%29 Apr
cache9–13-0.0616%29 Apr
mirage7–13-0.0022%25 Apr
ancient2–13-0.0624%25 Apr
mirage13–11-0.0714%25 Apr
dust213–20.0310%16 Apr
nuke8–13-0.1117%15 Apr
inferno2–13-0.0611%13 Apr
nuke10–13-0.0714%13 Apr
warden3–13-0.0315%12 Apr
nuke13–6-0.108%11 Apr
ancient14–16-0.0824%10 Apr
dust213–11-0.069%3 Apr
overpass11–13-0.069%3 Apr
inferno13–5-0.064%1 Apr
anubis13–8-0.0613%1 Apr
inferno7–13-0.094%31 Mar
dust28–130.0212%31 Mar
mirage13–100.0011%30 Mar

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →