ropopod

ropopod — CS2 Stats

FI76561198308611958[U:1:348346230]Steam profile ↗✓ No bans

523Tracked matches43%Win rate2021Tracked since
823Hours in CS21Hrs last 2 wks
CSDB Rating4.4 DevelopingPositional Player
Premier CS Rating15,420Purple band · top ~26.7% of ranked players (population est.)
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 29 Sep 2026 (37 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: 15,420 -2,991 1 Aug – 29 Sept · 19 days played
15,42018,808peak 18,8081 Aug29 Sept
18,808Peak Premier in tracked matches
36Days played since 2026-08-01

Premier CS Rating

  • 3,388 below peak (18,808)
  • -773 over 30 days · declining
  • Next: Pink band at 20,000 — 4,580 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-19
  • Blue band first seen 2026-09-19

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 Level 5 among CSDB-tracked players (n=14,283), 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 5 medianLevel 6 medianvs Level 6
Headshot rate35.4%43.8%44.8%9.4% short
Shot accuracy10.8%12.0%12.4%1.6% short
Kill/death ratio0.871.021.030.16 short
Match win rate45.3%44.7%45.2%meets

This profile matches the typical Level 6 player on 1 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 6 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGropopodFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER15,420 · Purple bandcsdb.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

Aim44
Positioning54
Utility27

0–100 skill scores via Leetify.

Recent form

COLD37–63Last 10037%Win rateLWLLWWLLLL

Last 10 vs previous 10: 0pp win rate · +0.01 avg rating · +5.4pp headshot accuracy · −108ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 21%
  • Avg reaction 484ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 19%
  • Avg reaction 536ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 16%
  • Avg reaction 590ms

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).

Aim4.4
Utility2.7
Positioning5.4
Opening Duels2.5
Clutch2.6

Strong CT-side openerLimited 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

m0NESY

Plays most like m0NESY 80% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 581ms 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

Aim4.4
Positioning5.4
Utility2.7
Mechanics5.0
Opening Duels5.2
Win Impact2.8

Composite 4.4/10 (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-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time585ms−44ms
first ⅓ avg 629ms → last ⅓ avg 585ms
Headshot accuracy13.9%+1.1%
first ⅓ avg 12.7% → last ⅓ avg 13.9%

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

0.05Best match rating · 13–9 · dust2, 2 Aug →
33%Best headshot accuracy · 4–13 · dust2, 9 Aug →
344msFastest reaction time · 0–13 · ancient, 5 Aug →
13–2Biggest win · mirage, 3 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
7–4In matches decided by ≤2 rounds
7Overtime games

Map breakdown

anubisBest map · 44% over 16infernoWeakest map · 25% over 8
MapGradePlayedRecordWin rateAvg rating
mirageC2711–1641%-0.03
dust2C2710–1737%-0.04
anubisC167–944%-0.03
ancientD134–931%-0.04
infernoD82–625%-0.02
nukeC73–443%-0.02
cache—20–20%-0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (25% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

17,599Lifetime kills
0.87K/D
1,242Matches
45.3%Match win rate · Top 50% of Level 5 players
35.4%Headshot %
10.8%Shot accuracy
2,884MVPs
513Hours (in match)
1,415Bombs planted
340Bombs defused

Most-used weapons

Lifetime map wins

2,061dust2
1,896inferno
769nuke
297vertigo
223train
157lake
94cbble
50office

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

Faceit stats

Combat

200Matches
48%Win rate
1.04Avg K/D
75.9ADR
39%Headshot %

Clutches & streaks

33%1v1 clutch win
21%1v2 clutch win
4Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage5250%0.8913.5
Ancient4050%1.1014.4
Dust23543%1.0315.7
Anubis3145%1.1917.4
Nuke1443%0.9615.8
Inferno1457%1.0216.3
Cache956%1.3314.8
Overpass540%0.9312.2

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.

13.3%Headshot accuracy
29.7%Accuracy (enemy spotted)
30.5%Spray accuracy
72.4%Counter-strafing
10.4°Preaim
581msReaction time
51.5%T opening success
49.8%CT opening success
0.30Enemies flashed / flash
3.2%Flash assists
8.12HE damage / grenade
2.90Flashes / 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 13.3102% — 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 0.2979 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Inferno

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 8 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis5–13-0.0421%31 Oct →
mirage13–10-0.0317%24 Oct →
inferno5–90.0025%24 Oct →
nuke10–13-0.0220%22 Oct →
anubis16–130.0224%20 Oct →
dust213–10-0.065%14 Oct →
ancient9–130.0222%12 Oct →
ancient9–13-0.1115%5 Oct →
nuke10–13-0.0312%2 Oct →
anubis6–13-0.0126%29 Sept →
dust27–13-0.103%29 Sept →
mirage11–13-0.075%25 Sept →
mirage0–13-0.1311%25 Sept →
dust213–11-0.0124%24 Sept →
anubis13–40.0314%24 Sept →
anubis5–130.0115%23 Sept →
mirage6–13-0.0318%23 Sept →
inferno13–100.0317%20 Sept →
dust23–13-0.059%20 Sept →
dust25–13-0.0419%18 Sept →
dust213–10-0.0215%18 Sept →
anubis16–14-0.029%17 Sept →
nuke13–11-0.038%17 Sept →
mirage13–6-0.0210%17 Sept →
dust213–5-0.018%17 Sept →
dust210–13-0.0111%17 Sept →
anubis6–13-0.0611%16 Sept →
mirage4–13-0.037%16 Sept →
dust213–5-0.0712%16 Sept →
anubis10–13-0.096%15 Sept →
mirage13–8-0.063%15 Sept →
mirage10–13-0.0212%15 Sept →
dust25–13-0.0225%15 Sept →
anubis9–13-0.0310%14 Sept →
mirage10–13-0.108%14 Sept →
nuke13–6-0.0332%14 Sept →
inferno6–13-0.0421%30 Aug →
dust213–5-0.0117%30 Aug →
ancient10–13-0.0013%30 Aug →
mirage4–13-0.0915%30 Aug →
dust23–13-0.1020%27 Aug →
ancient12–16-0.0614%27 Aug →
mirage13–60.0414%24 Aug →
mirage13–110.0115%24 Aug →
mirage6–13-0.0410%19 Aug →
anubis13–5-0.0320%19 Aug →
ancient13–9-0.039%19 Aug →
dust29–13-0.0717%19 Aug →
anubis13–6-0.0013%19 Aug →
mirage5–13-0.006%18 Aug →
dust213–16-0.0914%18 Aug →
mirage13–40.0013%18 Aug →
mirage5–13-0.080%17 Aug →
anubis13–11-0.0414%17 Aug →
mirage13–90.0115%17 Aug →
ancient9–13-0.0115%17 Aug →
mirage17–19-0.075%17 Aug →
dust23–130.016%16 Aug →
dust27–13-0.1013%16 Aug →
ancient10–13-0.0213%15 Aug →
mirage13–30.008%15 Aug →
ancient0–5-0.0717%15 Aug →
anubis6–13-0.0227%14 Aug →
mirage6–13-0.079%14 Aug →
mirage13–9-0.0522%13 Aug →
dust213–110.0019%13 Aug →
mirage0–2-0.070%11 Aug →
dust22–13-0.058%11 Aug →
dust213–6-0.0112%11 Aug →
anubis8–13-0.045%11 Aug →
mirage4–13-0.049%9 Aug →
dust24–13-0.1033%9 Aug →
ancient13–8-0.0319%9 Aug →
cache4–13-0.0320%9 Aug →
inferno8–13-0.0411%9 Aug →
inferno11–13-0.048%7 Aug →
mirage9–13-0.028%7 Aug →
anubis8–13-0.0224%7 Aug →
dust213–16-0.0723%6 Aug →
nuke12–16-0.037%6 Aug →
inferno7–13-0.0615%6 Aug →
anubis13–11-0.079%6 Aug →
dust210–13-0.0319%6 Aug →
ancient7–4-0.014%6 Aug →
inferno6–13-0.045%6 Aug →
ancient0–13-0.0517%5 Aug →
mirage13–20.003%3 Aug →
dust213–7-0.0118%3 Aug →
dust210–13-0.0311%3 Aug →
dust27–13-0.0615%2 Aug →
nuke13–70.059%2 Aug →
dust210–13-0.029%2 Aug →
mirage6–130.0111%2 Aug →
ancient13–7-0.033%2 Aug →
ancient6–13-0.0713%2 Aug →
mirage13–80.0116%2 Aug →
dust213–90.0524%2 Aug →
inferno13–8-0.0110%2 Aug →
cache8–13-0.0216%2 Aug →
nuke7–13-0.076%1 Aug →

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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