Crop duster

Crop duster — CS2 Stats

RU76561198065979704[U:1:105713976]Steam profile ↗✓ No bans

73Tracked matches56%Win rate2020Tracked since
489Hours in CS
CSDB Rating3.7 LearningPositional Player
Ladder ranks via Leetify

Performance scores

Aim35
Positioning41
Utility27

0–100 skill scores via Leetify.

Recent form

STEADY32–26–6Last 6450%Win rateWLLWLLWWWW

Last 10 vs previous 10: +20pp win rate · −0.00 avg rating · −3.7pp headshot accuracy · −81ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 8%
  • Avg reaction 561ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 9%
  • Avg reaction 610ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 11%
  • Avg reaction 651ms

Newest first, from the last 64 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim3.5
Utility2.7
Positioning4.1
Opening Duels0.9

Limited utility dependence

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

Twistzz

Plays most like Twistzz 78% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 663ms 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

Aim3.5
Positioning4.1
Utility2.7
Mechanics4.5
Opening Duels0.9
Win Impact6.9

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-0.02+0.03
first ⅓ avg -0.05 → last ⅓ avg -0.02
Reaction time650ms−33ms
first ⅓ avg 683ms → last ⅓ avg 650ms
Headshot accuracy10.9%+0.6%
first ⅓ avg 10.3% → last ⅓ avg 10.9%

Rolling 5-match average across the last 64 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.12Best match rating · 13–2 · train, 15 Sept →
29%Best headshot accuracy · 13–5 · mirage, 15 Dec →
484msFastest reaction time · 5–13 · mirage, 15 Apr →
13–1Biggest win · office, 3 Oct →

Across the last 64 tracked matches.

Highlights

6Longest win streak
4–4In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 80% over 10mirageWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
trainB137–654%-0.02
dust2S108–280%-0.02
mirageD72–529%-0.03
infernoA74–357%-0.05
ancientA53–260%-0.05
vertigoC52–340%-0.04
nuke—42–250%-0.05
overpass—42–250%-0.02
anubis—30–30%-0.02
cache—21–150%-0.02
office—21–150%-0.02
agency—20–20%-0.09

Across the last 64 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (29% over 7). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

33,810Lifetime kills
1.22K/D · Top 25% of tracked players
1,448Matches
42.9%Match win rate
41.6%Headshot %
20.7%Shot accuracy · Top 5% of tracked players
2,366MVPs
489Hours (in match)
1,076Bombs planted
225Bombs defused

Most-used weapons

Lifetime map wins

2,386dust2
1,226inferno
458nuke
289train
165vertigo
165lake
59office
53cbble

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.

10.1%Headshot accuracy
32.1%Accuracy (enemy spotted)
39.2%Spray accuracy
70.4%Counter-strafing
12.1°Preaim
663msReaction time
22.8%T opening success
37.6%CT opening success
0.64Enemies flashed / flash
7.0%Flash assists
5.40HE damage / grenade
4.46Flashes / 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 12.0579° — 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 10.11% — below the 15% mark we flag

    Aim Training →
Spend your practice time on Mirage

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

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–5-0.0510%22 May →
nuke8–13-0.039%22 May →
cache10–13-0.035%9 May →
cache13–8-0.028%9 May →
mirage5–130.059%15 Apr →
mirage5–13-0.096%15 Apr →
dust213–110.037%15 Apr →
vertigo13–70.0010%18 Dec →
vertigo13–50.0012%18 Dec →
overpass13–9-0.0614%15 Dec →
mirage13–50.0729%15 Dec →
inferno13–60.0112%15 Dec →
overpass5–13-0.0214%15 Dec →
dust213–10-0.0513%15 Dec →
dust213–9-0.068%12 Dec →
train4–13-0.058%12 Dec →
anubis10–13-0.034%12 Dec →
anubis11–13-0.025%12 Dec →
vertigo12–12-0.0120%25 Oct →
dust29–13-0.0213%24 Oct →
vertigo5–13-0.0611%24 Oct →
train13–11-0.0611%15 Oct →
anubis12–12-0.0212%15 Oct →
train13–11-0.0210%12 Oct →
train13–10-0.015%12 Oct →
train7–13-0.0312%12 Oct →
train12–12-0.013%12 Oct →
train13–6-0.0812%12 Oct →
train8–13-0.053%9 Oct →
office13–1-0.0211%3 Oct →
office7–13-0.027%3 Oct →
train13–40.015%23 Sept →
ancient10–13-0.056%21 Sept →
train13–20.127%15 Sept →
train13–10-0.075%30 Aug →
dust213–100.0314%30 Aug →
mirage2–13-0.045%21 Aug →
ancient13–100.014%19 Aug →
agency8–13-0.085%7 Aug →
agency9–13-0.113%6 Aug →
inferno12–12-0.1213%6 Aug →
nuke13–2-0.0213%5 Aug →
dust22–13-0.0522%5 Aug →
train11–130.0115%5 Aug →
train12–12-0.0010%5 Aug →
inferno11–13-0.103%4 Aug →
ancient13–6-0.034%4 Aug →
dust213–60.019%4 Aug →
overpass8–13-0.053%4 Aug →
dust213–7-0.0715%4 Aug →
inferno13–4-0.059%3 Aug →
inferno8–00.026%3 Aug →
inferno12–12-0.039%3 Aug →
mirage13–10-0.0410%3 Aug →
dust213–70.0621%3 Aug →
nuke2–13-0.0817%30 Jul →
mirage14–16-0.078%30 Jul →
vertigo4–13-0.123%11 Apr →
mirage6–13-0.1110%8 Apr →
nuke13–6-0.089%7 Apr →
inferno13–10-0.0817%5 Apr →
dust29–7-0.058%25 Mar →
overpass16–70.0411%25 Mar →
ancient3–16-0.1219%25 Mar →

Match data via Leetify.

Recent teammates

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

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