Rope — CS2 Stats

76561198388603840[U:1:428338112]✓ No bans

1,371Tracked matches34%Win rate2020Tracked since
2,124Hours in CS15Hrs last 2 wks
CSDB Rating4.9 DevelopingClutch Specialist
Premier CS Rating14,444Blue band · top ~31.3% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 8 Oct 2026 (7 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: 14,444 -434 20 Aug – 8 Oct · 21 days played
14,44418,298peak 18,29820 Aug8 Oct
18,560Peak Premier in tracked matches
20Days played since 2026-08-20

Premier CS Rating

  • 3,854 below peak (18,298)
  • -2,995 over 30 days · declining
  • Next: Purple band at 15,000 — 556 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches59——
Win rate44%——
K/D0.84——
Headshot %50%——

Measured 19 Sep 2026 → 15 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 Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate45.1%42.0%44.3%meets
Shot accuracy9.6%9.6%11.9%2.2% short
Kill/death ratio0.980.981.030.05 short
Match win rate44.9%43.8%45.2%meets

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGRopePREMIER14,444 · Blue bandcsdb.gg/stats

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Performance scores

Aim71
Positioning52
Utility42

0–100 skill scores via Leetify.

Recent form

COLD48–47–5Last 10048%Win rateWLLTLWLLLL

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −4.8pp headshot accuracy · +50ms reaction

Win rate down 30pp 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 647ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 632ms

Last 20

  • 7–12–1 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 19%
  • Avg reaction 607ms

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: Clutch Specialist — Late-round 1vX conversion stands above the rest of this profile (+3.1 against its own average).

Aim7.1
Utility4.2
Positioning5.2
Opening Duels2.1
Clutch8.0

Limited utility dependenceReliable in 1v1s

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

iM

Plays most like iM 94% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim 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

Areas to improve

Reaction time. 618ms 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

Aim7.1
Positioning5.2
Utility4.2
Mechanics7.3
Opening Duels3.1
Win Impact0.0

Composite 4.9/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.01
first ⅓ avg -0.00 → last ⅓ avg -0.01
Reaction time611ms+26ms
first ⅓ avg 585ms → last ⅓ avg 611ms
Headshot accuracy19.4%−3.6%
first ⅓ avg 23.1% → 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

0.20Best match rating · 9–2 · vertigo, 9 Sept →
64%Best headshot accuracy · 9–2 · vertigo, 9 Sept →
375msFastest reaction time · 1–13 · mirage, 8 Sept →
13–2Biggest win · ancient, 13 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–8In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 64% over 22cacheWeakest map · 0% over 6
MapGradePlayedRecordWin rateAvg rating
anubisB2311–1248%-0.02
nukeA2214–864%-0.00
mirageA138–562%0.01
ancientB126–650%-0.01
infernoB126–650%-0.00
dust2D91–811%-0.02
cacheD60–60%-0.04
vertigo—32–167%0.04

Across the last 100 tracked matches.

Lifetime stats

44,340Lifetime kills
0.98K/D · Top 50% of Blue band
2,889Matches
44.9%Match win rate · Top 50% of Blue band
45.1%Headshot % · Top 50% of Blue band
9.6%Shot accuracy · Top 50% of Blue band
7,906MVPs
940Hours (in match)
4,094Bombs planted
717Bombs defused

Most-used weapons

Lifetime map wins

5,285vertigo
3,267nuke
2,328inferno
1,400dust2
1,384train
956lake
713cbble
55bank

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

Faceit stats

Combat

15Matches
67%Win rate
1.10Avg K/D
75.9ADR
52%Headshot %

Clutches & streaks

60%1v1 clutch win
29%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWLL

MapMatchesWin rateAvg K/DAvg kills
Nuke4100%1.2216.0
Mirage333%0.9515.7
Ancient367%0.8813.3
Anubis2100%1.5016.5
Inferno20%0.9415.0
Dust21100%1.177.0

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.

19.6%Headshot accuracy
31.7%Accuracy (enemy spotted)
32.6%Spray accuracy
82.9%Counter-strafing
7.5°Preaim
618msReaction time
40.4%T opening success
44.2%CT opening success
0.48Enemies flashed / flash
3.0%Flash assists
16.34HE damage / grenade
3.13Flashes / 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 0.4817 — 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.

0% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–40.0715%8 Oct →
anubis11–13-0.0218%8 Oct →
anubis6–13-0.0810%8 Oct →
dust215–15-0.0714%6 Oct →
cache2–13-0.0318%6 Oct →
nuke13–90.0013%6 Oct →
dust26–13-0.0819%4 Oct →
dust26–13-0.0312%4 Oct →
dust25–13-0.0626%4 Oct →
dust25–13-0.0223%4 Oct →
mirage4–13-0.0229%4 Oct →
mirage13–40.1618%4 Oct →
cache6–13-0.0512%30 Sept →
anubis11–130.0018%30 Sept →
nuke13–110.0139%30 Sept →
cache3–13-0.0414%30 Sept →
ancient13–60.0114%28 Sept →
anubis4–13-0.0426%28 Sept →
nuke10–20.0215%28 Sept →
anubis13–10-0.0130%28 Sept →
mirage6–13-0.0422%27 Sept →
anubis2–13-0.088%27 Sept →
mirage13–90.0217%27 Sept →
nuke13–100.0121%27 Sept →
dust25–130.0118%27 Sept →
inferno9–13-0.0120%26 Sept →
cache7–13-0.0132%26 Sept →
anubis11–13-0.0110%26 Sept →
mirage13–40.1221%26 Sept →
ancient7–130.0133%26 Sept →
nuke13–90.0032%25 Sept →
nuke11–13-0.019%25 Sept →
mirage13–9-0.0015%25 Sept →
dust213–50.0528%25 Sept →
anubis13–100.0419%25 Sept →
anubis8–13-0.0616%25 Sept →
cache4–13-0.0530%25 Sept →
anubis13–7-0.0127%25 Sept →
anubis13–30.008%24 Sept →
anubis8–130.0219%24 Sept →
anubis14–16-0.0220%24 Sept →
nuke13–7-0.0414%24 Sept →
anubis13–80.0024%24 Sept →
nuke1–13-0.1129%21 Sept →
mirage5–130.0519%21 Sept →
ancient6–130.0220%21 Sept →
ancient13–6-0.0328%21 Sept →
inferno13–70.0224%21 Sept →
nuke9–13-0.0513%15 Sept →
inferno8–13-0.0318%15 Sept →
nuke5–13-0.050%14 Sept →
mirage13–5-0.034%14 Sept →
inferno12–16-0.0529%14 Sept →
nuke14–16-0.0125%14 Sept →
nuke14–16-0.0019%13 Sept →
anubis13–60.0535%13 Sept →
inferno13–100.0427%13 Sept →
anubis13–80.0225%13 Sept →
mirage7–130.0136%13 Sept →
cache1–13-0.0814%13 Sept →
anubis13–10-0.0222%13 Sept →
ancient13–2-0.0422%13 Sept →
ancient13–40.0627%9 Sept →
anubis13–7-0.0210%9 Sept →
nuke13–60.0122%9 Sept →
vertigo10–130.0129%9 Sept →
vertigo9–7-0.1021%9 Sept →
vertigo9–20.2064%9 Sept →
nuke9–6-0.0532%9 Sept →
nuke9–20.1924%9 Sept →
ancient3–13-0.0110%9 Sept →
ancient4–13-0.1119%9 Sept →
inferno7–130.0135%9 Sept →
inferno13–110.0127%8 Sept →
inferno13–7-0.0030%8 Sept →
nuke5–13-0.0323%8 Sept →
mirage1–13-0.0613%8 Sept →
mirage16–130.0122%8 Sept →
nuke13–70.0622%8 Sept →
anubis13–60.0417%7 Sept →
nuke15–15-0.0312%7 Sept →
inferno15–150.0219%7 Sept →
nuke13–5-0.0331%7 Sept →
anubis4–13-0.0619%7 Sept →
ancient15–150.0128%6 Sept →
anubis13–4-0.0014%6 Sept →
dust26–130.0513%6 Sept →
anubis7–13-0.0514%6 Sept →
mirage13–11-0.0723%6 Sept →
ancient15–15-0.0615%6 Sept →
nuke13–70.0113%6 Sept →
inferno13–50.0222%24 Aug →
ancient13–7-0.0120%24 Aug →
inferno13–3-0.0014%24 Aug →
mirage13–11-0.0525%24 Aug →
dust214–16-0.0125%23 Aug →
nuke13–70.0247%23 Aug →
anubis9–13-0.0616%23 Aug →
ancient16–140.0034%23 Aug →
inferno6–13-0.0521%20 Aug →

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 →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.