Super ★

Super ★ — CS2 Stats

GB76561199883500430[U:1:1923234702]Steam profile ↗✓ No bans

185Tracked matches45%Win rate2026Tracked since
346Hours in CS2Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating4,795Grey band · top ~79.7% of ranked players (population est.)
WingmanGold Nova I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 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: 4,795 -3,736 9 Aug – 8 Oct · 30 days played
3,8788,531peak 8,5319 Aug8 Oct
8,531Peak Premier in tracked matches
38Days played since 2026-08-09

Premier CS Rating

  • 3,736 below peak (8,531)
  • -1,197 over 30 days · declining
  • Next: Light Blue band at 5,000 — 205 to go
  • Reached: Light Blue band

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

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches31——
Win rate42%——
K/D0.93——
Headshot %59%——

Measured 14 Sep 2026 → 14 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,645), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate64.0%38.2%39.9%above
Shot accuracy0.0%3.6%7.0%7.0% short
Kill/death ratio1.110.830.92above
Match win rate51.5%40.2%42.3%above

This profile matches the typical Light Blue band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGSuper ★PREMIER4,795 · Grey 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

Aim84
Positioning55
Utility25

0–100 skill scores via Leetify.

Recent form

HOT45–51–4Last 10045%Win rateLWWWWLWLWW

Last 10 vs previous 10: +40pp win rate · +0.02 avg rating · −2.1pp headshot accuracy · −117ms reaction

Win rate up 40pp 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

  • 4–1 · 80% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 617ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 24%
  • Avg reaction 620ms

Last 20

  • 10–8–2 · 50% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 25%
  • Avg reaction 678ms

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 (+1.9 against its own average).

Aim8.4
Utility2.5
Positioning5.5
Opening Duels2.8

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 83% playstyle similarity

Most alike: aim profile, opening-duel success.

Where you differ: lower positioning profile; 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. 657ms 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

Aim8.4
Positioning5.5
Utility2.5
Mechanics8.4
Opening Duels3.8
Win Impact3.3

Composite 5.4/10 (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+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time668ms−83ms
first ⅓ avg 751ms → last ⅓ avg 668ms
Headshot accuracy26.0%+0.7%
first ⅓ avg 25.2% → last ⅓ avg 26.0%

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

0.24Best match rating · 9–2 · inferno, 31 Aug →
54%Best headshot accuracy · 13–1 · cache, 1 Sept →
453msFastest reaction time · 13–5 · inferno, 7 Sept →
13–1Biggest win · cache, 1 Sept →

Across the last 100 tracked matches.

Highlights

4Longest win streak
4–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 67% over 6dust2Weakest map · 36% over 28
MapGradePlayedRecordWin rateAvg rating
dust2C2810–1836%-0.02
mirageC2611–1542%-0.03
infernoB126–650%0.01
ancientC94–544%-0.01
cacheB84–450%0.02
nukeS64–267%-0.01
anubis—40–40%-0.05
vertigo—44–0100%0.05
train—22–0100%-0.02
overpass—10–10%0.05

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (36% over 28). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

5,785Lifetime kills
1.11K/D · Top 10% of Grey band
369Matches
51.5%Match win rate · Top 5% of Grey band
64.0%Headshot % · Top 1% of Grey band
0.0%Shot accuracy
879MVPs
205Hours (in match)
272Bombs planted
71Bombs defused

Most-used weapons

Lifetime map wins

719dust2
631inferno
144nuke
118vertigo
47train
14office
2italy

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

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.4%Headshot accuracy
37.5%Accuracy (enemy spotted)
41.7%Spray accuracy
87.8%Counter-strafing
9.4°Preaim
657msReaction time
43.9%T opening success
46.4%CT opening success
0.34Enemies flashed / flash
2.8%Flash assists
3.71HE damage / grenade
4.57Flashes / 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 0.3429 — below the 0.5 mark we flag

    Grenade Lineups →
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.

36% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis8–13-0.0910%8 Oct →
train13–5-0.0030%8 Oct →
dust213–8-0.0217%27 Sept →
dust28–1-0.0120%27 Sept →
mirage13–3-0.0333%26 Sept →
nuke11–13-0.0224%26 Sept →
ancient13–9-0.0229%26 Sept →
cache13–160.1019%25 Sept →
nuke7–10.1342%25 Sept →
nuke13–50.0216%25 Sept →
nuke8–8-0.0622%25 Sept →
anubis15–150.0426%25 Sept →
mirage13–60.0632%24 Sept →
dust213–90.0525%23 Sept →
mirage8–13-0.0321%23 Sept →
ancient9–130.0029%23 Sept →
inferno1–130.0025%23 Sept →
mirage1–13-0.0850%22 Sept →
mirage2–13-0.1025%22 Sept →
dust213–9-0.056%22 Sept →
mirage5–13-0.0419%13 Sept →
dust23–13-0.0612%13 Sept →
mirage13–11-0.0840%12 Sept →
ancient13–80.0312%11 Sept →
inferno7–90.0227%11 Sept →
dust26–130.0231%11 Sept →
dust210–130.0737%11 Sept →
dust26–130.0637%11 Sept →
ancient8–130.0122%10 Sept →
mirage7–13-0.1039%9 Sept →
dust213–40.0641%8 Sept →
mirage7–13-0.1211%8 Sept →
dust22–7-0.0426%8 Sept →
anubis14–16-0.0743%7 Sept →
mirage13–50.0224%7 Sept →
inferno13–5-0.096%7 Sept →
dust28–13-0.1022%6 Sept →
mirage13–6-0.0426%6 Sept →
dust26–13-0.0818%3 Sept →
dust210–13-0.0332%2 Sept →
cache13–1-0.0454%1 Sept →
inferno8–8-0.0531%31 Aug →
vertigo9–20.0923%31 Aug →
inferno9–20.2429%31 Aug →
dust211–13-0.0327%31 Aug →
inferno7–9-0.0616%31 Aug →
vertigo9–40.0617%31 Aug →
inferno9–70.0828%31 Aug →
nuke9–5-0.0428%31 Aug →
dust213–80.0934%30 Aug →
dust211–13-0.0436%30 Aug →
mirage8–13-0.0824%30 Aug →
dust213–70.0130%30 Aug →
mirage13–10.0532%30 Aug →
dust213–90.0332%30 Aug →
dust20–13-0.0542%29 Aug →
inferno4–120.0736%29 Aug →
mirage16–13-0.0226%29 Aug →
dust27–13-0.0554%28 Aug →
cache10–130.0629%28 Aug →
cache13–60.1333%28 Aug →
dust22–8-0.0112%28 Aug →
dust213–90.0213%28 Aug →
dust213–9-0.0018%28 Aug →
mirage2–13-0.0323%27 Aug →
cache11–13-0.0128%27 Aug →
inferno9–4-0.028%27 Aug →
mirage8–130.0322%27 Aug →
ancient8–10.0817%27 Aug →
inferno9–5-0.1016%25 Aug →
nuke9–5-0.1014%25 Aug →
mirage7–130.0025%25 Aug →
dust26–13-0.0624%24 Aug →
dust29–13-0.0712%22 Aug →
cache3–13-0.0943%21 Aug →
ancient16–14-0.0134%19 Aug →
ancient5–12-0.0125%19 Aug →
cache13–60.0221%19 Aug →
mirage10–13-0.0933%18 Aug →
mirage8–13-0.0932%17 Aug →
train13–7-0.0417%16 Aug →
inferno9–2-0.0530%15 Aug →
mirage6–13-0.0618%14 Aug →
vertigo13–9-0.0221%14 Aug →
vertigo13–40.0933%14 Aug →
dust211–13-0.0744%13 Aug →
cache13–90.0333%13 Aug →
overpass8–80.0526%12 Aug →
ancient1–13-0.1416%11 Aug →
inferno4–130.0428%11 Aug →
mirage6–13-0.0720%11 Aug →
mirage4–13-0.0729%10 Aug →
mirage13–40.0912%10 Aug →
dust24–13-0.0518%10 Aug →
dust24–130.0127%10 Aug →
mirage13–11-0.0432%10 Aug →
anubis11–13-0.0921%10 Aug →
mirage13–10-0.0514%9 Aug →
ancient6–13-0.0533%9 Aug →
mirage13–10.1643%9 Aug →

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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