RUBY the RUBY

RUBY the RUBY — CS2 Stats

GL76561199697108213[U:1:1736842485]Steam profile ↗✓ No bans

245Tracked matches46%Win rate2026Tracked since
533Hours in CS14Hrs last 2 wks
CSDB Rating3.3 LearningSupport
Premier CS Rating5,104Light Blue band · top ~78.3% of ranked players (population est.)
WingmanSilver I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 3 Nov 2026 (11 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: 5,104 -2,818 30 Aug – 3 Nov · 20 days played
5,0007,922peak 7,92230 Aug3 Nov
7,922Peak Premier in tracked matches
32Days played since 2026-08-30

Premier CS Rating

  • 2,818 below peak (7,922)
  • -565 over 30 days · declining
  • Next: Blue band at 10,000 — 4,896 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-08-30

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
Matches69——
Win rate38%——
K/D1.69——
Headshot %51%——

Measured 14 Oct 2026 → 14 Nov 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate49.1%39.9%42.0%above
Shot accuracy0.2%7.0%9.6%9.5% short
Kill/death ratio1.560.920.98above
Match win rate53.0%42.3%43.8%above

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

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

Share this profile

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Performance scores

Aim31
Positioning36
Utility47

0–100 skill scores via Leetify.

Recent form

STEADY47–50–3Last 10047%Win rateLWWLLWLWWT

Last 10 vs previous 10: +20pp win rate · +0.07 avg rating · +1.7pp headshot accuracy · −102ms reaction

Win rate up 20pp 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 672ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 13%
  • Avg reaction 650ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 12%
  • Avg reaction 701ms

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: Support — Utility contribution stands above the rest of this profile (+2.6 against its own average).

Aim3.1
Utility4.7
Positioning3.6
Opening Duels0.0
Clutch0.0

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 68% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

CT openings. Opening success drops from 46% on T to 27% on CT — first contacts on the defending side are being lost.

Reaction time. 684ms 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

Aim3.1
Positioning3.6
Utility4.7
Mechanics5.2
Opening Duels2.0
Win Impact3.8

Composite 3.3/10 (Learning), 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-0.04−0.01
first ⅓ avg -0.03 → last ⅓ avg -0.04
Reaction time685ms−26ms
first ⅓ avg 711ms → last ⅓ avg 685ms
Headshot accuracy10.6%−1.4%
first ⅓ avg 12.1% → last ⅓ avg 10.6%

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 · vertigo, 11 Oct →
50%Best headshot accuracy · 6–13 · ancient, 21 Sept →
477msFastest reaction time · 3–13 · train, 9 Oct →
13–2Biggest win · inferno, 17 Oct →

Across the last 100 tracked matches.

Highlights

13Longest win streak
3–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

dust2Best map · 53% over 17infernoWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B179–853%-0.03
mirageB158–753%-0.03
cacheB157–847%-0.04
nukeB136–746%-0.04
anubisB115–645%-0.01
ancientB115–645%-0.03
infernoD103–730%-0.04
train—42–250%-0.01
office—21–150%0.02
vertigo—21–150%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

14,599Lifetime kills
1.56K/D · Top 5% of Light Blue band
745Matches
53.0%Match win rate · Top 5% of Light Blue band
49.1%Headshot % · Top 25% of Light Blue band
0.2%Shot accuracy
2,718MVPs
369Hours (in match)
923Bombs planted
388Bombs defused

Most-used weapons

Lifetime map wins

1,027inferno
974dust2
850nuke
226vertigo
85train
50office
18cbble
8assault

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

Faceit stats

Combat

11Matches
9%Win rate
0.47Avg K/D
51.2ADR
46%Headshot %

Clutches & streaks

0%1v1 clutch win
12%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage40%0.5310.0
Anubis20%0.366.0
Cache20%0.285.0
Ancient10%0.5811.0
Inferno1100%0.9313.0
Dust210%0.294.0

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.

9.8%Headshot accuracy
29.4%Accuracy (enemy spotted)
32.1%Spray accuracy
73.2%Counter-strafing
10.4°Preaim
684msReaction time
46.1%T opening success
26.5%CT opening success
0.38Enemies flashed / flash
2.8%Flash assists
6.15HE damage / grenade
13.57Flashes / 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. 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 9.8191% — 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 0.3762 — below the 0.5 mark we flag

    Grenade Lineups →
  3. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 26.5349% — 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.

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–130.047%11 Nov →
dust213–80.0619%5 Nov →
nuke13–9-0.069%3 Nov →
mirage5–13-0.0412%30 Oct →
anubis2–8-0.0321%30 Oct →
office13–40.0517%28 Oct →
office7–130.0016%28 Oct →
cache13–60.0710%27 Oct →
nuke13–110.0316%26 Oct →
nuke12–12-0.093%25 Oct →
inferno10–13-0.0310%25 Oct →
dust213–9-0.0723%25 Oct →
cache11–13-0.080%25 Oct →
cache2–13-0.120%25 Oct →
inferno7–13-0.117%24 Oct →
cache1–12-0.0813%24 Oct →
mirage12–12-0.047%24 Oct →
anubis1–11-0.0817%24 Oct →
cache9–1-0.0122%24 Oct →
ancient13–4-0.0814%24 Oct →
mirage13–6-0.047%24 Oct →
nuke13–11-0.004%24 Oct →
dust27–13-0.119%24 Oct →
anubis13–3-0.018%23 Oct →
cache10–13-0.025%21 Oct →
cache11–13-0.024%21 Oct →
anubis13–5-0.016%21 Oct →
nuke13–6-0.0514%21 Oct →
ancient6–13-0.106%21 Oct →
nuke9–13-0.079%19 Oct →
cache13–10-0.0615%19 Oct →
mirage11–13-0.0213%19 Oct →
ancient7–13-0.079%19 Oct →
nuke5–13-0.0614%17 Oct →
inferno8–13-0.1212%17 Oct →
cache9–0-0.0425%17 Oct →
inferno5–13-0.0613%17 Oct →
mirage13–11-0.0611%17 Oct →
nuke8–13-0.019%17 Oct →
nuke16–12-0.0511%17 Oct →
dust22–8-0.0420%17 Oct →
cache12–12-0.0418%17 Oct →
ancient8–130.019%17 Oct →
nuke13–9-0.0730%17 Oct →
mirage13–10-0.097%17 Oct →
inferno13–20.065%17 Oct →
mirage13–7-0.0124%15 Oct →
dust26–13-0.0521%15 Oct →
mirage6–13-0.0710%15 Oct →
anubis8–13-0.056%15 Oct →
mirage13–7-0.029%13 Oct →
inferno13–60.0118%13 Oct →
cache13–3-0.055%13 Oct →
ancient13–80.0015%13 Oct →
inferno13–9-0.0213%13 Oct →
train13–4-0.078%13 Oct →
dust213–5-0.020%11 Oct →
mirage13–2-0.0719%11 Oct →
vertigo13–20.1017%11 Oct →
ancient13–80.0110%11 Oct →
ancient13–3-0.0414%11 Oct →
mirage13–60.0311%11 Oct →
dust213–50.006%10 Oct →
train3–13-0.0531%9 Oct →
dust26–30.020%9 Oct →
train8–13-0.0111%9 Oct →
train13–70.085%8 Oct →
nuke8–13-0.034%7 Oct →
inferno4–13-0.037%7 Oct →
cache5–13-0.038%4 Oct →
dust27–13-0.089%4 Oct →
mirage2–9-0.029%3 Oct →
anubis8–10.0115%3 Oct →
cache13–6-0.027%2 Oct →
ancient13–6-0.033%2 Oct →
anubis5–120.0213%30 Sept →
inferno2–13-0.090%30 Sept →
inferno6–13-0.0618%30 Sept →
vertigo9–13-0.0512%21 Sept →
ancient6–13-0.0350%21 Sept →
anubis13–60.0220%20 Sept →
anubis13–30.0210%20 Sept →
dust213–6-0.0114%20 Sept →
dust211–13-0.0219%20 Sept →
ancient8–13-0.003%20 Sept →
dust213–5-0.0112%19 Sept →
mirage13–4-0.046%19 Sept →
dust26–13-0.0416%19 Sept →
anubis3–13-0.0418%17 Sept →
mirage5–13-0.0117%13 Sept →
ancient3–13-0.0113%12 Sept →
nuke6–13-0.0313%12 Sept →
cache4–13-0.0715%12 Sept →
dust213–9-0.0314%12 Sept →
mirage2–13-0.038%12 Sept →
cache13–8-0.0013%7 Sept →
dust24–13-0.097%7 Sept →
dust213–20.0216%7 Sept →
dust20–13-0.098%6 Sept →
nuke6–13-0.063%6 Sept →

Match data via Leetify.

Recent teammates

Milestones

100 Matches13-Win Streak
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.