Cactus

Cactus — CS2 Stats

AU76561199166492438[U:1:1206226710]Steam profile ↗✓ No bans

562Tracked matches33%Win rate2024Tracked since
529Hours in CS7Hrs last 2 wks
CSDB Rating3.8 LearningPassive Rifler
Premier CS Rating1,000Grey band · top ~95.8% of ranked players (population est.)
CSDB Leaderboard#44275 of 56397 tracked
WingmanGold Nova II
Ladder ranks via Leetify

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=369), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate24.6%37.5%39.7%15.1% short
Shot accuracy0.0%4.5%6.7%6.7% short
Kill/death ratio0.890.820.910.02 short
Match win rate34.9%39.1%42.1%7.2% short

This profile sits below the typical Light Blue band player on every metric we can compare.

Widest gap: Shot accuracy. 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.

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CSDB.GGCactusPREMIER1,000 · Grey bandcsdb.gg/stats

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Performance scores

Aim60
Positioning39
Utility44

0–100 skill scores via Leetify.

Recent form

COLD33616Last 10033%Win rateLWLLLWLLLL

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

Player DNA

Primary style: Passive RiflerAim-led profile without a single dominant tendency.

Aim6.0
Aggression2.8
Utility4.4
Positioning3.9
Opening Duels0.0

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 74% playstyle similarity

Most alike: utility contribution, positioning profile.

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

T-side openings. Opening success drops from 38% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 619ms 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

Aim6.0
Positioning3.9
Utility4.4
Mechanics5.8
Opening Duels1.0
Win Impact0.0

Composite 3.8/10 (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-0.02+0.03
first ⅓ avg -0.05 → last ⅓ avg -0.02
Reaction time617ms−28ms
first ⅓ avg 644ms → last ⅓ avg 617ms
Headshot accuracy7.1%+1.9%
first ⅓ avg 5.2% → last ⅓ avg 7.1%

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

0.10Best rating — mirage 13–11
131Biggest win — dust2
2Longest win streak
56In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 60% over 5anubisWeakest map · 13% over 8
MapGradePlayedRecordWin rateAvg rating
infernoD46123426%-0.07
dust2C156940%-0.01
mirageB126650%0.01
anubisD81713%0.01
ancientD61517%0.01
cacheA53260%-0.01
nuke21150%-0.05
train2020%-0.03
vertigo220100%-0.01
overpass21150%-0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (13% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

8,479Lifetime kills
0.89K/D · Top 50% of Grey band
668Matches
34.9%Match win rate
24.6%Headshot %
0.0%Shot accuracy
1,021MVPs
236Hours (in match)
732Bombs planted
101Bombs defused

Most-used weapons

Lifetime map wins

1,384inferno
1,291dust2
388nuke
387train
217vertigo
59office
12italy
1ar_shoots

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.

6.1%Headshot accuracy
41.2%Accuracy (enemy spotted)
44.0%Spray accuracy
75.9%Counter-strafing
10.9°Preaim
619msReaction time
19.5%T opening success
38.0%CT opening success
0.59Enemies flashed / flash
5.6%Flash assists
2.92HE damage / grenade
10.20Flashes / 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 6.0691% — below the 15% mark we flag

    Aim Training
  2. 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 19.4956% — below the 40% mark we flag

Spend your practice time on Anubis

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

13% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategyAnubis grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke12–16-0.050%19 Aug
cache13–3-0.008%19 Aug
dust214–16-0.015%19 Aug
inferno2–9-0.065%19 Aug
inferno0–9-0.240%19 Aug
inferno13–40.035%18 Aug
anubis10–13-0.005%18 Aug
ancient9–130.088%18 Aug
inferno6–130.031%18 Aug
train1–13-0.045%18 Aug
dust210–13-0.045%15 Aug
mirage13–60.042%15 Aug
inferno4–9-0.147%15 Aug
anubis12–160.053%4 Aug
cache3–12-0.0311%4 Aug
dust27–130.0010%4 Aug
cache4–13-0.0110%4 Aug
mirage0–13-0.069%4 Aug
inferno3–9-0.1113%4 Aug
inferno3–9-0.0817%4 Aug
inferno5–90.0413%4 Aug
inferno13–20.0311%3 Aug
ancient10–130.047%3 Aug
mirage9–20.1011%3 Aug
dust213–100.038%3 Aug
inferno9–13-0.024%3 Aug
inferno9–30.069%3 Aug
anubis11–130.024%2 Aug
cache13–5-0.032%2 Aug
inferno13–80.068%2 Aug
dust26–13-0.0113%2 Aug
inferno3–9-0.2818%30 Jul
inferno2–11-0.060%24 Jul
inferno3–9-0.068%24 Jul
mirage10–13-0.049%24 Jul
dust210–130.010%24 Jul
inferno13–90.022%24 Jul
dust25–13-0.0618%23 Jul
mirage13–110.106%23 Jul
anubis9–13-0.017%23 Jul
dust213–1-0.049%23 Jul
dust27–130.044%23 Jul
inferno9–70.0911%23 Jul
dust213–80.0213%22 Jul
ancient11–13-0.0410%22 Jul
anubis9–13-0.029%22 Jul
mirage13–10-0.0112%22 Jul
inferno9–13-0.024%22 Jul
inferno5–9-0.154%22 Jul
inferno6–130.048%19 Jul
mirage2–13-0.044%19 Jul
anubis6–13-0.035%19 Jul
inferno3–9-0.176%19 Jul
train10–13-0.028%7 Jul
inferno1–9-0.1524%7 Jul
ancient13–90.016%7 Jul
inferno7–9-0.1014%7 Jul
vertigo13–4-0.0211%7 Jul
cache13–100.010%7 Jul
inferno1–9-0.210%7 Jul
mirage16–130.0310%6 Jul
dust213–8-0.0211%6 Jul
inferno6–9-0.113%6 Jul
ancient15–15-0.009%3 Jul
dust213–8-0.014%3 Jul
overpass13–30.0318%3 Jul
inferno8–13-0.023%3 Jul
inferno0–9-0.2314%3 Jul
anubis13–70.040%3 Jul
inferno5–9-0.066%3 Jul
inferno6–9-0.019%3 Jul
mirage13–20.079%2 Jul
inferno16–140.007%2 Jul
anubis10–130.015%2 Jul
inferno7–9-0.089%2 Jul
dust215–150.0112%23 Jun
inferno13–50.055%23 Jun
inferno9–7-0.017%23 Jun
mirage15–150.048%23 Jun
inferno8–8-0.050%23 Jun
inferno6–9-0.186%23 Jun
inferno8–80.023%23 Jun
inferno0–9-0.290%23 Jun
inferno0–9-0.230%18 Jun
inferno13–110.010%18 Jun
dust213–10-0.013%18 Jun
inferno11–13-0.015%18 Jun
inferno8–8-0.064%18 Jun
mirage5–13-0.047%18 Jun
inferno9–60.038%18 Jun
mirage1–13-0.084%9 Jun
nuke13–5-0.062%9 Jun
inferno9–50.0910%9 Jun
ancient9–13-0.025%9 Jun
inferno3–9-0.220%9 Jun
overpass4–13-0.046%9 Jun
dust25–13-0.035%9 Jun
inferno7–13-0.050%9 Jun
vertigo13–60.009%9 Jun
inferno2–9-0.155%9 Jun

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 →