Slopper

Slopper — CS2 Stats

US76561198417536813[U:1:457271085]Steam profile ↗✓ No bans

1,159Tracked matches33%Win rate2020Tracked since
1,893Hours in CS22Hrs last 2 wks
CSDB Rating5.5 SolidPositional Player
Premier CS Rating21,817Top 50% of 180,525 CSDB-tracked playersPink band · top ~6.5% of ranked players (population est.)
CSDB Leaderboard#52197 of 226266 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Sep 2026 (10 days ago). Ranks are recorded once per day this page is viewed.

+129Premier CS Rating · 21,688 → 21,817
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. 25 days played since 24 Jul 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 21,817 -1,906 8 Aug18 Sept · 16 days played
21,68825,107peak 25,1078 Aug18 Sept
25,107Peak Premier in tracked matches
25Days played since 2026-07-24

Premier CS Rating

  • 3,290 below peak (25,107)
  • -3,183 over 30 days · declining
  • Next: Red band at 25,000 3,183 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-03
  • Purple band first seen 2026-09-03

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

How this compares with the same rank

Median values for Pink band among CSDB-tracked players (n=36,054), 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 playerPink band medianRed band medianvs Red band
Headshot rate39.9%47.0%49.2%9.3% short
Shot accuracy13.4%13.0%13.3%meets
Kill/death ratio0.971.081.130.16 short
Match win rate47.0%46.7%48.5%1.5% short

This profile matches the typical Red band player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Red band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

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CSDB.GGSlopperPREMIER21,817 · Pink bandcsdb.gg/stats

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Performance scores

Aim80
Positioning60
Utility19

0–100 skill scores via Leetify.

Recent form

STEADY42508Last 10042%Win rateWLLLLWLWLW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +0.1pp headshot accuracy · +20ms 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 (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 10%
  • Avg reaction 602ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 585ms

Last 20

  • 614 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 12%
  • Avg reaction 576ms

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 PlayerPositioning stands above the rest of this profile (+1.7 against its own average).

Aim8.0
Utility1.9
Positioning6.0
Opening Duels3.4
Clutch6.0

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

ropz

Plays most like ropz 77% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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

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

Reaction time. 585ms 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

Aim8.0
Positioning6.0
Utility1.9
Mechanics7.4
Opening Duels3.5
Win Impact0.0

Composite 5.5/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00+0.01
first ⅓ avg -0.01 → last ⅓ avg 0.00
Reaction time582ms−36ms
first ⅓ avg 618ms → last ⅓ avg 582ms
Headshot accuracy13.7%−1.3%
first ⅓ avg 15.0% → last ⅓ avg 13.7%

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

0.11Best match rating · 6–9 · inferno, 21 Aug
37%Best headshot accuracy · 11–13 · nuke, 29 Aug
445msFastest reaction time · 9–13 · ancient, 28 Aug
13–1Biggest win · mirage, 9 Aug

Across the last 100 tracked matches.

Highlights

7Longest win streak
67In matches decided by ≤2 rounds
8Overtime games

Map breakdown

nukeBest map · 64% over 11cacheWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
infernoB21111052%0.00
mirageC1881044%-0.02
ancientB157847%-0.00
anubisD134931%-0.01
dust2D124833%-0.03
nukeA117464%0.02
cacheD91811%0.00
train1010%0.02

Across the last 100 tracked matches.

Lifetime stats

46,344Lifetime kills
0.97K/D
2,738Matches
47.0%Match win rate · Top 50% of Pink band
39.9%Headshot %
13.4%Shot accuracy · Top 50% of Pink band
5,902MVPs
1,078Hours (in match)
3,316Bombs planted
603Bombs defused

Most-used weapons

Lifetime map wins

5,918inferno
2,234dust2
1,666nuke
816train
446vertigo
278cbble
211office
105lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

42Matches
43%Win rate
1.07Avg K/D
78.2ADR
39%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage250%0.7813.5
Dust2250%0.6811.0
Cache1100%1.0912.0
Nuke10%1.3121.0

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.

13.5%Headshot accuracy
38.9%Accuracy (enemy spotted)
45.1%Spray accuracy
83.3%Counter-strafing
8.8°Preaim
585msReaction time
47.0%T opening success
40.7%CT opening success
0.27Enemies flashed / flash
2.4%Flash assists
4.89HE damage / grenade
1.35Flashes / 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 13.5336% — below the 15% mark we flag

    Aim Training
  2. 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 0.2708 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Cache

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
ancient13–10-0.0110%18 Sept
anubis9–130.017%18 Sept
mirage2–13-0.040%18 Sept
train6–130.0216%18 Sept
dust21–13-0.0619%18 Sept
nuke13–100.0720%16 Sept
dust23–13-0.050%16 Sept
mirage13–100.0314%10 Sept
anubis6–13-0.0317%10 Sept
inferno13–10-0.0318%10 Sept
inferno11–13-0.0115%8 Sept
mirage14–160.0010%8 Sept
cache9–130.0211%8 Sept
ancient11–13-0.0121%8 Sept
mirage0–13-0.0415%8 Sept
anubis9–13-0.0013%7 Sept
inferno7–20.089%7 Sept
inferno5–13-0.063%7 Sept
nuke16–140.0413%7 Sept
ancient3–13-0.0610%7 Sept
inferno10–13-0.0123%7 Sept
ancient15–15-0.0415%7 Sept
nuke13–50.1111%7 Sept
cache12–120.0923%7 Sept
mirage8–13-0.0213%7 Sept
inferno12–12-0.007%7 Sept
dust23–13-0.0414%7 Sept
inferno13–90.0322%4 Sept
inferno8–13-0.0416%4 Sept
inferno13–110.0711%3 Sept
nuke5–130.0121%3 Sept
inferno13–60.0619%2 Sept
mirage12–12-0.0217%2 Sept
mirage13–80.0016%30 Aug
nuke3–13-0.074%30 Aug
anubis9–13-0.0412%30 Aug
cache15–150.0212%29 Aug
mirage13–5-0.0518%29 Aug
anubis13–70.0216%29 Aug
dust21–13-0.0526%29 Aug
cache2–13-0.0525%29 Aug
nuke11–13-0.0137%29 Aug
ancient6–130.0312%29 Aug
cache11–13-0.0711%29 Aug
nuke13–60.0124%28 Aug
ancient9–13-0.048%28 Aug
cache9–130.0116%28 Aug
inferno9–13-0.0317%28 Aug
ancient12–120.0219%28 Aug
mirage8–130.0124%27 Aug
inferno13–11-0.0014%23 Aug
nuke13–80.0318%23 Aug
ancient13–80.0114%23 Aug
mirage8–13-0.029%23 Aug
inferno13–9-0.007%22 Aug
anubis13–60.045%22 Aug
inferno10–13-0.0615%22 Aug
dust213–11-0.0314%22 Aug
ancient11–130.0214%22 Aug
inferno11–13-0.0619%22 Aug
nuke15–150.0715%22 Aug
mirage4–13-0.0818%22 Aug
cache5–130.0018%21 Aug
dust24–13-0.108%21 Aug
anubis2–13-0.1123%21 Aug
inferno9–40.069%21 Aug
inferno6–90.1126%21 Aug
inferno10–13-0.0314%17 Aug
anubis10–130.019%17 Aug
ancient16–130.0013%14 Aug
anubis13–7-0.007%14 Aug
anubis13–90.0114%14 Aug
ancient10–130.0625%13 Aug
nuke13–10-0.0014%13 Aug
ancient13–9-0.0113%9 Aug
mirage13–1-0.017%9 Aug
inferno13–80.0225%9 Aug
ancient13–10-0.0212%9 Aug
cache13–110.007%8 Aug
dust213–90.0122%8 Aug
anubis6–13-0.068%8 Aug
mirage8–13-0.0320%8 Aug
dust213–80.0220%8 Aug
mirage13–80.0116%8 Aug
dust29–130.0210%8 Aug
dust26–13-0.0314%8 Aug
anubis12–120.0218%7 Aug
nuke13–11-0.0420%6 Aug
mirage12–16-0.0021%6 Aug
inferno13–6-0.1014%31 Jul
mirage13–10-0.0313%31 Jul
ancient13–30.0411%25 Jul
anubis8–13-0.0119%25 Jul
dust213–7-0.0423%25 Jul
mirage13–8-0.059%25 Jul
ancient13–5-0.0115%25 Jul
dust24–130.0127%25 Jul
cache13–16-0.0218%25 Jul
inferno13–60.019%25 Jul
mirage13–7-0.0110%24 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 →