Zupp

Zupp — CS2 Stats

FI76561197991058047[U:1:30792319]Steam profile ↗✓ No bans

2,177Tracked matches38%Win rate2020Tracked since
CSDB Rating4.0 DevelopingSupport
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Sep 2026 (15 days ago). Ranks are recorded once per day this page is viewed.

0Faceit ELO · 1,438 → 1,438
+6Tracked matches · now 2,177
0.0ppWin rate · 37.9% → 37.9%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 67 days played since 15 Jul 2024. Come back after the next session and the change shows above.

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Rating over time

1,438Highest Faceit ELO seen on CSDB
67Days played since 2024-07-15

Faceit ELO

  • At peak — 1,438
  • Next: Level 8 at 1,531 93 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-03
  • Level 6 first seen 2026-09-03

CSDB’s own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGZuppPEAK ELO1,438csdb.gg/stats

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Performance scores

Aim56
Positioning39
Utility65

0–100 skill scores via Leetify.

Recent form

COLD45541Last 10045%Win rateWLWLLWLLLL

Last 10 vs previous 10: −20pp win rate · −0.01 avg rating · −0.3pp headshot accuracy · +14ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 23 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 16%
  • Avg reaction 603ms

Last 10

  • 37 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 608ms

Last 20

  • 8111 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 18%
  • Avg reaction 601ms

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: SupportUtility contribution stands above the rest of this profile (+2.9 against its own average).

Aim5.6
Utility6.5
Positioning3.9
Opening Duels0.8
Clutch3.0

Strong CT-side openerEffective flashes

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 79% 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

Flashes. 0.78 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 42% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 655ms 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

Aim5.6
Positioning3.9
Utility6.5
Mechanics4.8
Opening Duels1.5
Win Impact1.0

Composite 4.0/10 (Developing), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time656ms−27ms
first ⅓ avg 683ms → last ⅓ avg 656ms
Headshot accuracy17.5%−3.0%
first ⅓ avg 20.5% → last ⅓ avg 17.5%

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

0.15Best match rating · 13–10 · nuke, 4 Mar
47%Best headshot accuracy · 13–5 · mirage, 23 Dec
438msFastest reaction time · 7–13 · inferno, 11 Feb
13–3Biggest win · nuke, 23 Mar

Across the last 100 tracked matches.

Highlights

7Longest win streak
89In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 61% over 18dust2Weakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
mirageB32161650%-0.03
nukeA1811761%-0.00
dust2D1641225%-0.01
anubisB136746%-0.02
infernoC94544%-0.02
ancientD62433%-0.03
cache21150%-0.02
overpass1010%-0.03
warden1010%-0.06
alpine110100%-0.05
train1010%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4,004Matches
53%Win rate
0.97Avg K/D
66.4ADR
40%Headshot %

Clutches & streaks

35%1v1 clutch win
15%1v2 clutch win
12Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage41259%0.8312.2
Dust218059%0.8312.2
Nuke15859%0.8912.3
Anubis14953%0.9113.4
Inferno10849%0.8212.6
Ancient4749%0.9113.3
Overpass1942%0.7512.0
Cache743%0.7310.0

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.

17.6%Headshot accuracy
32.3%Accuracy (enemy spotted)
34.7%Spray accuracy
71.4%Counter-strafing
8.3°Preaim
655msReaction time
20.3%T opening success
41.7%CT opening success
0.78Enemies flashed / flash
5.8%Flash assists
12.41HE damage / grenade
6.40Flashes / 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 20.3013% — below the 40% mark we flag

Spend your practice time on Dust 2

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
cache13–60.0419%7 Sept
cache3–13-0.0718%10 Aug
nuke13–80.0218%22 May
inferno7–13-0.028%12 May
mirage13–16-0.0816%27 Apr
ancient13–5-0.059%27 Apr
mirage0–13-0.0320%27 Apr
mirage11–13-0.0217%23 Apr
mirage11–13-0.0427%21 Apr
mirage5–13-0.1025%6 Apr
dust27–13-0.0933%30 Mar
dust211–130.0025%25 Mar
anubis13–10-0.0711%23 Mar
nuke13–3-0.0019%23 Mar
inferno13–7-0.0318%23 Mar
ancient3–13-0.068%23 Mar
mirage13–60.0016%22 Mar
dust215–150.0116%22 Mar
dust27–13-0.0216%18 Mar
nuke13–80.0417%18 Mar
dust213–11-0.0125%16 Mar
nuke7–13-0.068%16 Mar
mirage10–13-0.0717%16 Mar
dust211–130.0317%14 Mar
ancient9–130.0317%10 Mar
dust27–130.0726%10 Mar
mirage13–40.0213%10 Mar
mirage13–10-0.0226%9 Mar
nuke10–13-0.0215%7 Mar
mirage5–13-0.044%7 Mar
nuke13–100.1526%4 Mar
anubis13–7-0.0212%2 Mar
anubis4–130.0316%26 Feb
anubis13–10-0.0021%24 Feb
inferno2–13-0.0721%24 Feb
anubis7–13-0.0111%23 Feb
dust215–190.0430%23 Feb
nuke13–11-0.0116%16 Feb
mirage9–13-0.0415%15 Feb
inferno13–30.0319%13 Feb
dust213–9-0.0321%12 Feb
dust213–7-0.0323%12 Feb
inferno7–13-0.0319%11 Feb
nuke3–13-0.0516%11 Feb
mirage13–16-0.0326%11 Feb
anubis13–16-0.0522%10 Feb
nuke11–13-0.0334%10 Feb
mirage13–8-0.0520%9 Feb
inferno11–13-0.0621%6 Feb
nuke13–110.0320%5 Feb
mirage13–10-0.0415%5 Feb
anubis7–13-0.0115%4 Feb
anubis17–190.0214%30 Jan
nuke13–9-0.0411%30 Jan
mirage14–16-0.039%29 Jan
anubis9–130.038%29 Jan
overpass13–16-0.0315%28 Jan
mirage4–13-0.0313%28 Jan
warden9–13-0.0623%22 Jan
alpine13–9-0.0530%22 Jan
anubis13–11-0.0325%22 Jan
anubis13–9-0.0519%22 Jan
dust27–13-0.0438%7 Jan
mirage13–10-0.0710%21 Dec
mirage10–13-0.0526%15 Mar
inferno10–13-0.0113%15 Mar
inferno13–4-0.0120%11 Mar
dust23–13-0.0216%11 Mar
ancient7–13-0.0217%18 Jan
dust25–13-0.060%5 Jan
nuke13–70.0127%4 Jan
mirage13–5-0.0047%23 Dec
dust210–13-0.0433%17 Dec
nuke9–13-0.0710%15 Dec
ancient14–16-0.0620%24 Nov
train7–13-0.0317%21 Nov
nuke9–13-0.0429%18 Nov
mirage13–8-0.0420%30 Oct
mirage9–13-0.099%29 Oct
nuke12–16-0.0615%23 Oct
mirage13–5-0.0514%20 Oct
mirage13–7-0.0423%20 Oct
mirage15–19-0.0520%19 Oct
mirage13–7-0.0113%12 Oct
anubis10–13-0.060%30 Sept
ancient13–9-0.0230%27 Sept
inferno13–100.0228%7 Sept
mirage13–11-0.0617%30 Aug
mirage6–13-0.0314%11 Aug
mirage9–12-0.0621%5 Aug
mirage13–70.0221%5 Aug
mirage13–40.0025%5 Aug
nuke13–11-0.0314%28 Jul
dust213–70.0211%27 Jul
mirage13–11-0.0630%27 Jul
anubis13–60.0012%27 Jul
nuke13–110.0430%17 Jul
dust25–13-0.0131%16 Jul
mirage13–40.0931%16 Jul
nuke13–50.0534%15 Jul

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →