XxRisingShadowxX

XxRisingShadowxX — CS2 Stats

DE76561198153984611[U:1:193718883]Steam profile ↗1 game ban

177Tracked matches55%Win rate2023Tracked since
357Hours in CS
CSDB Rating5.2 DevelopingPositional Player
Premier CS Rating4,791Grey band · top ~79.7% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Aug 2026 (28 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.

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. 53 days played since 13 Apr 2025. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 4,791 +1,605 13 Apr23 Aug · 37 days played
2,9237,686peak 7,68613 Apr23 Aug
7,839Peak Premier in tracked matches
53Days played since 2025-04-13

Premier CS Rating

  • 2,895 below peak (7,686)
  • Next: Light Blue band at 5,000 209 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.

How this compares with the same rank

Median values for Grey band among CSDB-tracked players (n=3,468), 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 rate42.5%38.1%39.9%above
Shot accuracy4.1%3.7%6.9%2.8% short
Kill/death ratio0.950.830.92above
Match win rate36.1%40.1%42.3%6.2% short

This profile matches the typical Light Blue band player on 2 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.GGXxRisingShadowxXPREMIER4,791 · Grey bandcsdb.gg/stats

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Performance scores

Aim63
Positioning60
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY56404Last 10056%Win rateLLWLWLWWWW

Last 10 vs previous 10: +30pp win rate · +0.03 avg rating · −1.1pp headshot accuracy · +39ms reaction

Win rate up 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

  • 23 · 40% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 19%
  • Avg reaction 692ms

Last 10

  • 64 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 18%
  • Avg reaction 642ms

Last 20

  • 9101 · 45% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 623ms

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 (+1.3 against its own average).

Aim6.3
Utility4.7
Positioning6.0
Opening Duels4.7
Clutch3.6

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

ZywOo

Plays most like ZywOo 83% 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. 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

Aim6.3
Positioning6.0
Utility4.7
Mechanics6.0
Opening Duels3.8
Win Impact6.7

Composite 5.2/10 (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 rating0.03+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time623ms−51ms
first ⅓ avg 675ms → last ⅓ avg 623ms
Headshot accuracy18.9%+2.6%
first ⅓ avg 16.3% → last ⅓ avg 18.9%

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

0.19Best match rating · 13–7 · nuke, 20 Aug
36%Best headshot accuracy · 2–13 · dust2, 8 Jan
461msFastest reaction time · 15–15 · inferno, 7 Oct
13–1Biggest win · dust2, 15 Aug

Across the last 100 tracked matches.

Highlights

5Longest win streak
L2Current streak
146In matches decided by ≤2 rounds
17Overtime games

Map breakdown

trainBest map · 88% over 8infernoWeakest map · 42% over 24
MapGradePlayedRecordWin rateAvg rating
infernoC24101442%0.01
nukeA2011955%0.01
ancientB158753%0.01
dust2S128467%0.03
anubisA106460%0.03
mirageA95456%0.01
trainS87188%0.00
cache1010%-0.03
jura110100%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 24). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

18,334Lifetime kills
0.95K/D · Top 25% of Grey band
1,025Matches
36.1%Match win rate
42.5%Headshot % · Top 50% of Grey band
4.1%Shot accuracy · Top 50% of Grey band
2,010MVPs
357Hours (in match)
1,154Bombs planted
197Bombs defused

Most-used weapons

Lifetime map wins

1,207inferno
1,121nuke
849dust2
330train
225vertigo
188italy
39office
16lake

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

Faceit stats

Combat

20Matches
30%Win rate
0.84Avg K/D
72.8ADR
46%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage617%0.7813.5
Anubis425%0.9714.8
Inferno367%0.7011.3
Vertigo250%1.0417.5
Dust220%0.6716.5
Ancient250%0.8613.5
Nuke10%1.0617.0

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.

18.4%Headshot accuracy
35.3%Accuracy (enemy spotted)
35.6%Spray accuracy
77.1%Counter-strafing
10.6°Preaim
618msReaction time
38.7%T opening success
51.9%CT opening success
0.47Enemies flashed / flash
4.5%Flash assists
6.41HE damage / grenade
4.23Flashes / 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 0.4667 — below the 0.5 mark we flag

    Grenade Lineups
  2. 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 38.6583% — below the 40% mark we flag

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.

42% win rate across 24 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust23–130.0223%30 Aug
anubis8–130.0618%23 Aug
ancient13–10-0.0111%20 Aug
dust29–130.1020%20 Aug
nuke13–70.1921%20 Aug
inferno4–13-0.0416%20 Aug
mirage16–13-0.0214%20 Aug
ancient13–10-0.0119%19 Aug
anubis13–11-0.0121%19 Aug
dust213–30.0720%19 Aug
anubis8–130.0222%17 Aug
ancient11–13-0.0133%17 Aug
cache9–13-0.0326%17 Aug
train13–70.0922%17 Aug
nuke13–90.0115%17 Aug
nuke4–13-0.0423%17 Aug
mirage13–70.0017%16 Aug
nuke15–15-0.0116%16 Aug
ancient10–130.0620%15 Aug
mirage4–13-0.030%15 Aug
dust213–10.1728%15 Aug
ancient14–160.0616%15 Aug
inferno13–100.0813%13 Aug
dust213–9-0.0415%13 Aug
dust213–60.0127%13 Aug
anubis13–100.007%13 Aug
mirage13–160.0419%13 Aug
nuke11–130.0219%13 Aug
ancient16–130.0814%12 Aug
anubis13–110.0520%11 Aug
anubis2–13-0.0120%3 Aug
inferno11–13-0.0022%3 Aug
inferno13–80.0329%16 Jun
nuke8–13-0.0320%3 Jun
dust22–13-0.0436%8 Jan
nuke13–70.0232%18 Dec
inferno8–13-0.0217%18 Dec
nuke10–13-0.0114%11 Nov
nuke13–90.1113%22 Oct
inferno6–13-0.0129%9 Oct
nuke10–130.0419%8 Oct
mirage13–4-0.0015%8 Oct
inferno15–15-0.0310%7 Oct
nuke15–15-0.0219%30 Sept
inferno13–80.0433%29 Sept
train13–4-0.0521%25 Sept
nuke13–1-0.019%14 Aug
inferno10–13-0.0628%22 Jul
inferno13–9-0.048%23 Jun
inferno13–16-0.0113%13 Jun
nuke13–9-0.0126%13 Jun
train13–4-0.0615%13 Jun
train13–5-0.0212%13 Jun
ancient3–13-0.077%11 Jun
inferno13–110.0410%11 Jun
mirage12–160.0115%11 Jun
inferno7–13-0.0614%10 Jun
nuke13–90.029%10 Jun
train13–70.0113%10 Jun
train13–100.0619%10 Jun
dust213–30.0812%9 Jun
jura13–11-0.0610%8 Jun
anubis8–13-0.0210%8 Jun
inferno8–13-0.0412%8 Jun
nuke8–13-0.0720%7 Jun
dust213–11-0.0029%5 Jun
dust24–00.0213%5 Jun
dust24–5-0.0623%5 Jun
inferno13–100.0031%3 Jun
ancient8–13-0.0017%2 Jun
mirage9–130.1014%2 Jun
ancient7–13-0.0316%1 Jun
ancient13–60.0113%1 Jun
train11–130.0110%31 May
inferno13–40.1123%31 May
nuke10–13-0.0217%30 May
ancient13–50.0113%29 May
ancient16–14-0.0312%27 May
inferno14–160.0413%26 May
train16–13-0.0129%25 May
inferno10–13-0.0112%22 May
anubis13–100.0815%22 May
mirage5–30.0721%14 May
mirage13–8-0.0913%13 May
inferno5–130.0516%3 May
anubis13–70.0822%3 May
inferno13–110.0210%2 May
nuke16–140.0824%29 Apr
ancient13–50.0019%29 Apr
inferno3–13-0.0423%29 Apr
nuke13–11-0.0018%29 Apr
nuke13–9-0.0315%29 Apr
ancient16–130.028%29 Apr
inferno16–140.156%28 Apr
inferno13–50.0311%16 Apr
dust29–130.0621%16 Apr
inferno15–150.0118%15 Apr
ancient4–130.0313%14 Apr
nuke16–140.0211%14 Apr
anubis13–110.0812%13 Apr

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 →