Hopper#tswiss

Hopper#tswiss — CS2 Stats

US76561198169165944[U:1:208900216]Steam profile ↗✓ No bans

463Tracked matches48%Win rate2022Tracked since
CSDB Rating6.4 SolidPositional Player
Premier CS Rating15,112Purple band · top ~28% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Oct 2026 (6 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 15,112 +5,246 25 May – 11 Oct · 34 days played
9,86615,112peak 15,11225 May11 Oct
15,112Peak Premier in tracked matches
47Days played since 2026-05-24

Premier CS Rating

  • At peak — 15,112
  • +2,631 over 30 days · improving
  • +4,730 over 90 days
  • Next: Pink band at 20,000 — 4,888 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-09-11
  • Light Blue band first seen 2026-09-11

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGHopper#tswissPREMIER15,112 · Purple bandcsdb.gg/stats

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Performance scores

Aim87
Positioning52
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY52–47–1Last 10052%Win rateWWLLWWLLLW

Last 10 vs previous 10: +10pp win rate · −0.00 avg rating · −4.5pp headshot accuracy · +66ms 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 -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 570ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 577ms

Last 20

  • 9–10–1 · 45% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 18%
  • Avg reaction 544ms

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: Positional Player — Positioning stands above the rest of this profile (+1.6 against its own average).

Aim8.7
Utility3.9
Positioning5.2
Opening Duels2.2
Clutch3.2

Sharp aimerExcellent counter-strafing

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

ropz

Plays most like ropz 92% playstyle similarity

Most alike: aim profile, utility contribution.

Where you differ: lower positioning profile; lower opening-duel success.

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

Aim. Aim score of 87 — the mechanical foundation is a clear strength.

Counter-strafing. 94% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Preaim. Mechanical aim is strong but the crosshair sits 10.3° off target when enemies appear — placement, not flicking, is the bigger win available.

Positioning. Positioning trails aim by 35 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim8.7
Positioning5.2
Utility3.9
Mechanics9.8
Opening Duels3.0
Win Impact4.4

Composite 6.4/10 (Solid), 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-0.01+0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time551ms−126ms
first ⅓ avg 676ms → last ⅓ avg 551ms
Headshot accuracy19.4%+3.4%
first ⅓ avg 16.1% → last ⅓ avg 19.4%

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.

Personal bests

0.08Best match rating · 13–9 · mirage, 13 Sept →
41%Best headshot accuracy · 3–13 · dust2, 7 Sept →
406msFastest reaction time · 14–16 · cache, 20 Sept →
13–1Biggest win · nuke, 17 Jun →

Across the last 100 tracked matches.

Highlights

8Longest win streak
W2Current streak
8–11In matches decided by ≤2 rounds
12Overtime games

Map breakdown

mirageBest map · 64% over 14anubisWeakest map · 21% over 14
MapGradePlayedRecordWin rateAvg rating
ancientA1710–759%-0.01
cacheA169–756%-0.03
infernoA159–660%-0.00
mirageA149–564%-0.00
anubisD143–1121%-0.03
dust2A138–562%-0.01
nukeD93–633%-0.04
overpass—21–150%0.00

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (21% over 14). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

32Matches
41%Win rate
0.77Avg K/D
63.8ADR
37%Headshot %

Clutches & streaks

36%1v1 clutch win
20%1v2 clutch win
4Longest win streak

Recent Faceit resultsLLWLL

MapMatchesWin rateAvg K/DAvg kills
Dust240%0.5810.0
Ancient367%1.4218.3
Anubis30%0.396.0
Inferno20%0.9118.0
Mirage10%0.6710.0
Cache1100%0.477.0

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.

19.3%Headshot accuracy
37.2%Accuracy (enemy spotted)
42.9%Spray accuracy
94.0%Counter-strafing
10.3°Preaim
549msReaction time
49.0%T opening success
35.3%CT opening success
0.50Enemies flashed / flash
3.1%Flash assists
9.33HE damage / grenade
6.42Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4974 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 35.262% — 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.

21% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–20.019%11 Oct →
cache13–7-0.0223%11 Oct →
mirage8–130.0121%11 Oct →
nuke7–13-0.029%8 Oct →
ancient13–9-0.0326%8 Oct →
cache13–11-0.0516%8 Oct →
anubis8–130.0119%8 Oct →
anubis5–130.019%5 Oct →
nuke14–16-0.0513%5 Oct →
dust213–100.019%1 Oct →
inferno8–13-0.0120%24 Sept →
inferno13–6-0.0113%24 Sept →
mirage13–40.0125%24 Sept →
mirage15–15-0.0331%24 Sept →
cache13–7-0.0414%24 Sept →
ancient10–130.0638%21 Sept →
cache11–13-0.0612%20 Sept →
anubis14–160.0114%20 Sept →
inferno10–1-0.0314%20 Sept →
cache14–16-0.0217%20 Sept →
inferno13–30.0011%20 Sept →
ancient13–70.0428%13 Sept →
dust213–8-0.0426%13 Sept →
mirage13–90.0820%13 Sept →
nuke8–13-0.0810%13 Sept →
dust23–13-0.0241%7 Sept →
mirage13–20.0730%7 Sept →
dust26–130.0332%7 Sept →
ancient11–13-0.0319%30 Aug →
anubis10–13-0.0614%30 Aug →
cache13–7-0.1017%30 Aug →
anubis11–13-0.0425%29 Aug →
anubis6–13-0.0516%28 Aug →
cache13–3-0.0519%28 Aug →
nuke13–9-0.0230%27 Aug →
ancient13–80.0716%27 Aug →
ancient13–6-0.0016%27 Aug →
mirage10–13-0.010%23 Aug →
anubis2–130.000%22 Aug →
dust211–130.000%22 Aug →
ancient13–90.0817%22 Aug →
ancient7–13-0.0214%20 Aug →
cache5–4-0.057%20 Aug →
ancient16–14-0.0322%19 Aug →
anubis2–13-0.048%17 Aug →
nuke5–13-0.1023%15 Aug →
anubis13–7-0.0718%15 Aug →
dust27–130.0127%13 Aug →
anubis6–13-0.0717%13 Aug →
dust213–70.0722%12 Aug →
ancient13–90.0013%8 Aug →
cache13–40.0136%8 Aug →
mirage13–9-0.063%8 Aug →
dust25–13-0.0518%3 Aug →
dust213–4-0.0121%3 Aug →
cache10–13-0.0221%3 Aug →
inferno9–13-0.065%24 Jul →
inferno13–11-0.0218%24 Jul →
cache13–40.0413%24 Jul →
ancient13–8-0.047%24 Jul →
anubis13–3-0.0211%23 Jul →
ancient8–13-0.039%23 Jul →
dust216–12-0.0514%20 Jul →
cache4–13-0.0425%18 Jul →
inferno5–130.0224%18 Jul →
cache10–13-0.0222%15 Jul →
anubis10–13-0.035%12 Jul →
inferno13–90.0222%12 Jul →
inferno14–16-0.037%6 Jul →
dust213–10-0.0124%5 Jul →
inferno13–16-0.0525%1 Jul →
dust213–11-0.0317%25 Jun →
inferno16–14-0.0426%24 Jun →
overpass9–13-0.0419%22 Jun →
mirage5–13-0.0015%22 Jun →
cache3–130.0121%21 Jun →
nuke13–3-0.0329%20 Jun →
nuke14–16-0.0716%18 Jun →
ancient13–10-0.039%17 Jun →
nuke13–10.0510%17 Jun →
ancient8–13-0.0611%8 Jun →
overpass13–50.0531%5 Jun →
nuke1–13-0.0616%4 Jun →
anubis7–13-0.0615%4 Jun →
ancient14–16-0.0312%3 Jun →
inferno13–60.0414%2 Jun →
mirage8–13-0.070%2 Jun →
mirage13–6-0.0518%29 May →
ancient10–13-0.019%29 May →
inferno6–130.0317%29 May →
ancient13–11-0.035%29 May →
inferno13–40.0810%29 May →
mirage13–8-0.0122%29 May →
mirage16–140.0112%29 May →
inferno13–80.0428%25 May →
anubis13–100.0114%25 May →
dust213–80.0215%25 May →
cache13–6-0.0515%24 May →
cache11–130.0110%24 May →
mirage13–6-0.0017%24 May →

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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