Plopper

Plopper — CS2 Stats

CD76561198008561209[U:1:48295481]Steam profile ↗✓ No bans

562Tracked matches67%Win rate2023Tracked since
663Hours in CS
CSDB Rating4.2 DevelopingPositional Player
FaceitLevel 7 · 1,417 ELOTop 42.3% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (21 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 562 tracked matches. Play, then come back: the next observation lands here.

Rating over time

1,417Highest Faceit ELO seen on CSDB
41Days played since 2025-11-11

Faceit ELO

  • At peak — 1,417
  • Next: Level 8 at 1,531 — 114 to go
  • Reached: Level 7 · Level 6 · Level 5 · Level 4
  • Level 7 first seen 2026-09-22
  • Level 6 first seen 2026-09-22

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 7 among CSDB-tracked players (n=13,885), 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 playerLevel 7 medianLevel 8 medianvs Level 8
Headshot rate30.8%45.7%46.8%16.0% short
Shot accuracy11.2%12.7%13.0%1.8% short
Kill/death ratio0.901.051.060.16 short
Match win rate49.8%45.7%46.3%above

This profile matches the typical Level 8 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 8 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGPlopperFACEITLevel 7 · 1,417 ELOSTANDINGTop 42.3% of rankedPEAK ELO1,417csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim47
Positioning52
Utility29

0–100 skill scores via Leetify.

Recent form

STEADY55–42–3Last 10055%Win rateWLWWLLWWWL

Last 10 vs previous 10: 0pp win rate · −0.00 avg rating · −0.3pp headshot accuracy · −29ms reaction

Win rate 0pp 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 -0.04
  • Avg headshot accuracy 10%
  • Avg reaction 578ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 567ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 581ms

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 (+2.1 against its own average).

Aim4.7
Utility2.9
Positioning5.2
Opening Duels2.2
Clutch2.0

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

donk

Plays most like donk 84% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 598ms 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

Aim4.7
Positioning5.2
Utility2.9
Mechanics4.7
Opening Duels0.9
Win Impact10.0

Composite 4.2/10 (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-0.02+0.02
first ⅓ avg -0.04 → last ⅓ avg -0.02
Reaction time602ms+15ms
first ⅓ avg 587ms → last ⅓ avg 602ms
Headshot accuracy12.7%+1.5%
first ⅓ avg 11.2% → last ⅓ avg 12.7%

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

0.10Best match rating · 13–2 · inferno, 11 Aug →
35%Best headshot accuracy · 3–13 · anubis, 1 Aug →
438msFastest reaction time · 13–8 · inferno, 15 Aug →
13–2Biggest win · inferno, 11 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
12–4In matches decided by ≤2 rounds
20Overtime games

Map breakdown

vertigoBest map · 80% over 5cacheWeakest map · 43% over 7
MapGradePlayedRecordWin rateAvg rating
infernoS2416–867%-0.02
ancientB2312–1152%-0.04
anubisB1910–953%-0.03
nukeS96–367%-0.03
cacheC73–443%-0.04
vertigoS54–180%-0.01
overpass—41–325%-0.04
train—21–150%-0.00
dust2—10–10%-0.06
fachwerk—11–0100%0.05
eldorado—10–10%0.01
debris—10–10%-0.05
shelter—11–0100%-0.02
office—10–10%-0.07
mirage—10–10%-0.03

Across the last 100 tracked matches.

Lifetime stats

25,712Lifetime kills
0.90K/D
1,473Matches
49.8%Match win rate · Top 25% of Level 7 players
30.8%Headshot %
11.2%Shot accuracy
3,432MVPs
663Hours (in match)
1,825Bombs planted
547Bombs defused

Most-used weapons

AK-474,624
AWP2,100
SG 5531,530
AUG1,354
P901,215

Lifetime map wins

4,119inferno
1,452dust2
675train
643nuke
547vertigo
101cbble
92office
50dust

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

Faceit stats

Combat

285Matches
58%Win rate
0.81Avg K/D
64.6ADR
37%Headshot %

Clutches & streaks

30%1v1 clutch win
17%1v2 clutch win
10Longest win streak

Recent Faceit resultsLWWLW

MapMatchesWin rateAvg K/DAvg kills
Inferno7458%0.7311.2
Ancient7465%0.8613.1
Anubis4248%0.8012.9
Train2955%0.7311.9
Overpass2055%0.8913.2
Nuke1771%0.8011.9
Vertigo1471%1.2117.1
Cache667%0.8310.7

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.

12.3%Headshot accuracy
33.3%Accuracy (enemy spotted)
38.1%Spray accuracy
71.4%Counter-strafing
11.7°Preaim
598msReaction time
31.4%T opening success
35.8%CT opening success
0.33Enemies flashed / flash
0.7%Flash assists
5.66HE damage / grenade
1.85Flashes / 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 12.3227% — 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 0.328 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 31.423% — below the 40% mark we flag

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.

43% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–11-0.0310%17 Aug →
ancient5–13-0.0711%17 Aug →
vertigo13–10-0.017%17 Aug →
anubis13–11-0.0518%17 Aug →
ancient8–13-0.036%17 Aug →
anubis4–130.0017%17 Aug →
inferno16–12-0.0711%16 Aug →
nuke13–11-0.015%16 Aug →
inferno13–8-0.0119%15 Aug →
anubis8–130.0113%15 Aug →
ancient13–6-0.037%15 Aug →
anubis16–19-0.0911%14 Aug →
inferno13–70.0020%14 Aug →
anubis15–19-0.019%14 Aug →
inferno13–11-0.0612%13 Aug →
ancient14–16-0.028%13 Aug →
anubis13–60.0514%13 Aug →
nuke13–7-0.0323%13 Aug →
ancient13–7-0.0010%13 Aug →
ancient8–13-0.077%13 Aug →
inferno11–13-0.047%13 Aug →
inferno13–60.0213%12 Aug →
inferno13–80.0220%11 Aug →
nuke13–10-0.0215%11 Aug →
inferno13–20.1011%11 Aug →
ancient10–13-0.0914%11 Aug →
anubis16–130.0315%10 Aug →
vertigo16–140.0215%8 Aug →
inferno13–4-0.0516%8 Aug →
anubis16–140.0412%8 Aug →
vertigo13–11-0.0513%7 Aug →
anubis17–19-0.0214%7 Aug →
inferno16–13-0.0116%7 Aug →
nuke10–13-0.036%7 Aug →
ancient6–13-0.042%7 Aug →
vertigo9–130.0720%6 Aug →
inferno13–8-0.0414%6 Aug →
vertigo13–10-0.0621%5 Aug →
ancient13–7-0.0210%4 Aug →
inferno6–13-0.089%4 Aug →
ancient7–13-0.0316%4 Aug →
inferno13–9-0.0128%2 Aug →
ancient13–7-0.062%2 Aug →
anubis13–11-0.069%2 Aug →
anubis3–13-0.0435%1 Aug →
ancient13–9-0.0410%1 Aug →
inferno13–80.0212%1 Aug →
nuke13–3-0.0223%1 Aug →
ancient19–17-0.0419%31 Jul →
cache2–13-0.0511%31 Jul →
inferno19–17-0.0613%27 Jul →
ancient13–30.0520%27 Jul →
anubis9–13-0.0414%26 Jul →
ancient4–13-0.0711%26 Jul →
cache13–8-0.0213%26 Jul →
inferno11–130.0013%24 Jul →
ancient16–13-0.029%23 Jul →
anubis5–13-0.0310%23 Jul →
cache16–13-0.0114%22 Jul →
anubis13–6-0.0310%22 Jul →
inferno9–13-0.0710%22 Jul →
cache13–30.0415%22 Jul →
nuke13–9-0.0515%22 Jul →
anubis6–13-0.0514%22 Jul →
ancient13–70.025%22 Jul →
cache6–13-0.0211%20 Jul →
inferno10–13-0.0412%16 Jul →
cache7–13-0.0913%16 Jul →
anubis13–11-0.0412%16 Jul →
ancient13–10-0.093%15 Jul →
dust213–16-0.066%15 Jul →
anubis19–16-0.0813%13 Jul →
fachwerk13–60.0511%13 Jul →
eldorado8–80.0111%11 Jul →
debris8–8-0.0511%11 Jul →
shelter13–3-0.027%10 Jul →
office10–13-0.0714%1 Jun →
ancient7–13-0.009%10 May →
inferno13–11-0.0220%10 May →
cache7–13-0.1010%2 May →
nuke9–13-0.0224%25 Apr →
train13–3-0.027%24 Apr →
train5–130.0115%24 Apr →
inferno16–130.0210%3 Mar →
ancient16–13-0.056%3 Mar →
overpass16–12-0.0218%3 Mar →
anubis16–13-0.0219%2 Mar →
overpass4–13-0.059%28 Feb →
ancient5–13-0.0316%28 Feb →
inferno12–12-0.036%19 Feb →
overpass9–13-0.039%19 Feb →
inferno9–13-0.0614%16 Feb →
mirage5–13-0.0311%16 Feb →
anubis16–13-0.058%15 Feb →
overpass8–13-0.0611%15 Feb →
nuke4–13-0.0714%14 Feb →
ancient13–9-0.006%7 Feb →
inferno13–50.0410%7 Feb →
inferno6–13-0.0513%11 Nov →
ancient6–13-0.085%11 Nov →

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 →

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