DROPSHIP neverpaytax MR. JEEB

DROPSHIP neverpaytax MR. JEEB — CS2 Stats

SC76561198171238565[U:1:210972837]Steam profile ↗✓ No bans

274Tracked matches45%Win rate2020Tracked since
CSDB Rating5.3 Developing
Ladder ranks via Leetify

Performance scores

Aim48
Positioning50
Utility71

0–100 skill scores via Leetify.

Recent form

COLD51418Last 10051%Win rateLLLWLWLLWL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Aim4.8
Aggression7.1
Utility7.1
Positioning5.0
Opening Duels3.1

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

Twistzz

Plays most like Twistzz 86% playstyle similarity

Most alike: utility contribution, positioning profile.

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. 641ms 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

Aim4.8
Positioning5.0
Utility7.1
Mechanics7.4
Opening Duels3.1
Win Impact3.3

Composite 5.3/10 (Developing), 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 rating0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time651ms−57ms
first ⅓ avg 708ms → last ⅓ avg 651ms
Headshot accuracy17.4%−0.8%
first ⅓ avg 18.2% → last ⅓ avg 17.4%

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

0.17Best rating — ancient 8–3
130Biggest win — dust2
7Longest win streak
L3Current streak
67In matches decided by ≤2 rounds
5Overtime games

Map breakdown

dust2Best map · 61% over 36ancientWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
dust2A36221461%0.02
infernoC2191243%0.01
nukeC125742%-0.02
ancientC83538%0.01
mirageA74357%0.00
trainB63350%-0.02
vertigo32167%0.01
overpass31233%0.02
anubis21150%0.03
office21150%-0.01

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

320Matches
50%Win rate
1.19Avg K/D
ADR
42%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWLL

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.

16.5%Headshot accuracy
27.4%Accuracy (enemy spotted)
29.0%Spray accuracy
83.2%Counter-strafing
9.6°Preaim
641msReaction time
36.3%T opening success
48.1%CT opening success
0.65Enemies flashed / flash
7.9%Flash assists
8.58HE damage / grenade
11.88Flashes / 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

    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 36.3384% — below the 40% mark we flag

Spend your practice time on Ancient

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
train2–13-0.0220%12 Feb
dust23–13-0.0724%12 Feb
nuke8–13-0.0616%2 Feb
dust213–10.1110%2 Feb
inferno9–13-0.0713%2 Feb
nuke13–50.019%2 Feb
ancient11–13-0.0213%2 Feb
anubis11–130.0513%2 Feb
inferno13–10.0722%2 Feb
ancient8–13-0.067%2 Feb
inferno8–130.0020%2 Feb
ancient13–160.0313%1 Feb
nuke8–13-0.009%1 Feb
dust213–1-0.0420%1 Feb
dust22–13-0.0516%31 Jan
inferno8–130.0923%31 Jan
inferno10–130.0330%31 Jan
mirage15–15-0.0119%31 Jan
inferno13–10.1427%31 Jan
nuke13–30.1021%30 Jan
mirage11–130.0216%30 Jan
office13–90.015%30 Jan
ancient13–80.0010%30 Jan
inferno10–13-0.0323%29 Jan
dust216–13-0.0411%29 Jan
dust213–110.0118%29 Jan
nuke13–11-0.0024%29 Jan
inferno12–16-0.0113%29 Jan
dust213–6-0.0125%29 Jan
dust212–30.0720%29 Jan
dust213–5-0.0120%28 Jan
office12–12-0.0315%28 Jan
inferno13–50.0329%28 Jan
train1–13-0.0711%28 Jan
dust213–80.0713%28 Jan
dust211–130.0521%28 Jan
train4–13-0.0516%28 Jan
dust212–12-0.0612%28 Jan
dust213–110.0115%27 Jan
dust212–120.1043%26 Jan
dust210–13-0.0324%25 Jan
dust213–60.0322%25 Jan
vertigo12–12-0.0029%25 Jan
inferno0–11-0.120%25 Jan
dust213–90.0528%25 Jan
train13–5-0.038%24 Jan
dust213–90.1019%24 Jan
mirage13–90.0328%24 Jan
dust213–80.0130%23 Jan
ancient7–130.0522%23 Jan
mirage13–80.0328%23 Jan
dust213–8-0.0612%23 Jan
nuke10–13-0.087%23 Jan
nuke9–13-0.0917%23 Jan
dust213–80.1023%23 Jan
dust27–13-0.0319%23 Jan
inferno13–6-0.0222%23 Jan
mirage13–60.0127%22 Jan
dust213–8-0.038%22 Jan
ancient13–6-0.0123%22 Jan
inferno13–4-0.027%22 Jan
dust213–70.0713%22 Jan
dust213–110.0016%22 Jan
inferno2–13-0.0133%22 Jan
overpass10–13-0.0312%22 Jan
inferno13–80.0135%22 Jan
dust25–13-0.106%22 Jan
mirage13–7-0.0021%22 Jan
inferno12–60.0921%22 Jan
inferno4–13-0.0622%21 Jan
dust213–20.0014%21 Jan
nuke0–13-0.1115%21 Jan
train13–11-0.0217%21 Jan
nuke11–130.0014%20 Jan
mirage8–13-0.0513%20 Jan
dust27–130.1418%20 Jan
inferno13–30.1029%20 Jan
overpass13–30.0317%20 Jan
nuke13–40.0618%20 Jan
ancient10–13-0.066%20 Jan
dust213–00.1019%20 Jan
dust28–13-0.0119%19 Jan
inferno3–13-0.098%18 Jan
nuke13–100.0319%18 Jan
inferno7–13-0.0125%18 Jan
dust216–12-0.0117%17 Jan
dust29–130.0926%17 Jan
dust212–120.0423%17 Jan
train13–80.0721%17 Jan
overpass12–120.0613%17 Jan
dust211–13-0.0114%17 Jan
inferno13–60.0614%16 Jan
vertigo13–11-0.0420%16 Jan
dust211–13-0.0216%16 Jan
ancient8–30.1723%15 Jan
nuke12–12-0.137%15 Jan
dust213–8-0.0222%15 Jan
inferno7–13-0.0630%15 Jan
anubis13–60.0222%14 Jan
vertigo13–90.0618%14 Jan

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 →