zupp3

zupp3 — CS2 Stats

76561197967464878[U:1:7199150]Steam profile ↗✓ No bans

352Tracked matches57%Win rate2020Tracked since
CSDB Rating5.3 DevelopingClutch Specialist
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGzupp3FACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim41
Positioning49
Utility76

0–100 skill scores via Leetify.

Recent form

STEADY55–45Last 10055%Win rateLWLWWLWLWW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −2.4pp headshot accuracy · −82ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 8%
  • Avg reaction 645ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 9%
  • Avg reaction 612ms

Last 20

  • 11–9 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 653ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+4 against its own average).

Aim4.1
Utility7.6
Positioning4.9
Opening Duels1.5
Clutch10.0

Strong CT-side openerHigh utility contributionReliable in 1v1s

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

iM

Plays most like iM 57% 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

Strengths

Utility. Utility score of 76 — grenade impact well above the norm.

Areas to improve

T-side openings. Opening success drops from 49% on CT to 0% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 653ms 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

Aim4.1
Positioning4.9
Utility7.6
Mechanics6.3
Opening Duels2.4
Win Impact7.2

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 rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time641ms+59ms
first ⅓ avg 581ms → last ⅓ avg 641ms
Headshot accuracy10.6%+1.7%
first ⅓ avg 8.9% → last ⅓ avg 10.6%

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.

Personal bests

0.10Best match rating · 16–9 · mirage, 11 May →
22%Best headshot accuracy · 11–13 · mirage, 15 Jan →
398msFastest reaction time · 9–13 · mirage, 13 Sept →
16–4Biggest win · anubis, 21 Mar →

Across the last 100 tracked matches.

Highlights

5Longest win streak
10–10In matches decided by ≤2 rounds
66Overtime games

Map breakdown

infernoBest map · 62% over 45anubisWeakest map · 47% over 15
MapGradePlayedRecordWin rateAvg rating
infernoA4528–1762%-0.02
mirageB2211–1150%-0.03
anubisB157–847%-0.03
nukeB157–847%-0.01
overpass—21–150%-0.03
vertigo—11–0100%-0.04

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (47% over 15). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

655Matches
49%Win rate
0.90Avg K/D
43.4ADR
33%Headshot %

Clutches & streaks

100%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Inferno1457%0.7811.4
Mirage1145%0.6710.2
Anubis933%0.6910.9
Nuke580%0.8910.8
Vertigo10%0.7117.0
Dust210%0.508.0

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.

10.4%Headshot accuracy
31.5%Accuracy (enemy spotted)
35.1%Spray accuracy
78.3%Counter-strafing
11.4°Preaim
653msReaction time
0.0%T opening success
49.1%CT opening success
0.50Enemies flashed / flash
7.5%Flash assists
12.50HE damage / grenade
6.18Flashes / 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 10.4471% — 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 0% — 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.

47% win rate across 15 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis4–13-0.087%7 Mar →
mirage13–10-0.079%7 Mar →
anubis9–13-0.017%7 Mar →
inferno13–50.027%20 Feb →
inferno16–130.0010%20 Feb →
mirage3–13-0.0715%16 Feb →
anubis13–70.0113%16 Feb →
anubis2–13-0.127%18 Jan →
anubis13–110.028%17 Jan →
nuke13–7-0.006%17 Jan →
mirage11–13-0.0522%15 Jan →
inferno9–13-0.0613%15 Jan →
nuke13–8-0.012%9 Jan →
inferno11–13-0.018%9 Jan →
inferno13–10-0.0616%8 Jan →
inferno13–10-0.017%7 Jan →
mirage13–90.0513%7 Jan →
mirage7–13-0.0819%4 Jan →
nuke5–13-0.0713%4 Jan →
mirage13–110.002%1 Jan →
anubis13–7-0.0413%1 Jan →
inferno11–13-0.029%28 Dec →
mirage13–11-0.0211%28 Dec →
nuke13–70.027%28 Dec →
inferno13–9-0.0512%18 Dec →
mirage13–9-0.0316%18 Dec →
inferno9–130.0417%18 Dec →
overpass10–13-0.017%18 Sept →
nuke13–70.0013%18 Sept →
mirage9–13-0.084%13 Sept →
inferno13–7-0.048%13 Sept →
nuke7–13-0.0714%12 Sept →
anubis11–13-0.0414%12 Sept →
inferno13–7-0.0820%12 Sept →
inferno9–5-0.0015%11 Sept →
inferno18–22-0.069%25 Aug →
anubis8–16-0.049%25 Aug →
mirage9–16-0.056%22 Aug →
inferno17–19-0.0413%22 Aug →
anubis16–12-0.0010%31 Jul →
inferno6–16-0.049%31 Jul →
anubis16–9-0.0215%24 Jul →
inferno16–70.057%24 Jul →
mirage4–16-0.1210%10 Jul →
inferno7–16-0.079%10 Jul →
inferno16–11-0.027%3 Jul →
inferno8–16-0.109%3 Jul →
anubis4–16-0.1210%26 Jun →
inferno16–80.008%22 Jun →
nuke14–16-0.029%13 Jun →
inferno16–14-0.0417%1 Jun →
inferno14–16-0.0114%22 May →
inferno16–7-0.0215%22 May →
inferno11–16-0.019%11 May →
mirage16–90.109%11 May →
inferno16–12-0.0212%7 May →
mirage16–11-0.0419%7 May →
inferno16–14-0.0213%30 Apr →
nuke10–16-0.0413%30 Apr →
nuke19–170.0111%26 Apr →
mirage16–130.068%26 Apr →
anubis10–16-0.028%18 Apr →
inferno16–11-0.0319%18 Apr →
mirage16–8-0.0610%17 Apr →
mirage19–17-0.0314%16 Apr →
inferno16–14-0.0111%13 Apr →
mirage6–16-0.069%11 Apr →
inferno10–16-0.057%11 Apr →
overpass16–13-0.043%10 Apr →
inferno10–16-0.057%10 Apr →
inferno16–60.0013%10 Apr →
anubis16–13-0.0416%9 Apr →
inferno19–17-0.0015%9 Apr →
inferno16–6-0.0612%8 Apr →
inferno16–10-0.0213%8 Apr →
nuke14–160.027%8 Apr →
inferno17–190.0312%6 Apr →
nuke7–160.0315%6 Apr →
inferno16–9-0.003%4 Apr →
nuke15–19-0.047%4 Apr →
mirage14–16-0.058%4 Apr →
mirage13–16-0.027%30 Mar →
inferno16–8-0.0310%30 Mar →
mirage15–19-0.0612%28 Mar →
vertigo16–12-0.048%28 Mar →
inferno12–16-0.029%26 Mar →
inferno16–140.007%21 Mar →
inferno10–160.018%21 Mar →
anubis16–40.0912%21 Mar →
mirage12–16-0.028%20 Mar →
inferno16–5-0.0411%20 Mar →
inferno16–70.008%14 Mar →
nuke16–12-0.003%12 Mar →
inferno11–16-0.059%12 Mar →
nuke5–160.077%10 Mar →
nuke16–70.015%10 Mar →
anubis7–16-0.0313%23 Feb →
inferno16–13-0.032%23 Feb →
inferno16–50.019%15 Feb →
mirage16–11-0.057%15 Feb →

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 →

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