Ruutana

Ruutana — CS2 Stats

FI76561198334190639[U:1:373924911]Steam profile ↗✓ No bans

2,550Tracked matches43%Win rate2020Tracked since
3,545Hours in CS22Hrs last 2 wks
CSDB Rating4.8 DevelopingSupport
Premier CS Rating11,055Blue band · top ~49.3% of ranked players (population est.)
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 11,055 +524 24 Jul – 4 Nov · 34 days played
10,23213,144peak 13,14424 Jul4 Nov
13,144Peak Premier in tracked matches
876Highest Faceit ELO seen on CSDB
49Days played since 2026-07-24

Faceit ELO

  • At peak — 876
  • Next: Level 4 at 901 — 25 to go
  • Reached: Level 3 · Level 2

Premier CS Rating

  • 2,089 below peak (13,144)
  • -309 over 30 days · steady
  • -707 over 90 days
  • Next: Purple band at 15,000 — 3,945 to go
  • Reached: Blue band · 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 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 rate72.2%42.0%44.4%above
Shot accuracy6.4%9.6%11.9%5.5% short
Kill/death ratio1.720.981.03above
Match win rate31.0%43.8%45.2%14.2% short

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.GGRuutanaPREMIER11,055 · Blue bandPEAK ELO876csdb.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

Aim60
Positioning49
Utility58

0–100 skill scores via Leetify.

Recent form

COLD50–45–5Last 10050%Win rateLLLLLWLTLW

Last 10 vs previous 10: −40pp win rate · −0.02 avg rating · −2.3pp headshot accuracy · −33ms reaction

Win rate down 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

  • 0–5 · 0% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 16%
  • Avg reaction 569ms

Last 10

  • 2–7–1 · 20% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 534ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 17%
  • Avg reaction 550ms

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 (+1.4 against its own average).

Aim6.0
Utility5.8
Positioning4.9
Opening Duels2.3
Clutch4.6

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, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim6.0
Positioning4.9
Utility5.8
Mechanics5.5
Opening Duels3.4
Win Impact2.6

Composite 4.8/10 (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 time554ms+10ms
first ⅓ avg 544ms → last ⅓ avg 554ms
Headshot accuracy17.2%+0.6%
first ⅓ avg 16.6% → last ⅓ avg 17.2%

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

0.27Best match rating · 9–0 · inferno, 8 Oct →
38%Best headshot accuracy · 13–5 · dust2, 5 Sept →
367msFastest reaction time · 13–5 · dust2, 18 Sept →
13–2Biggest win · inferno, 30 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L5Current streak
9–5In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 67% over 15cacheWeakest map · 10% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B199–1047%-0.03
ancientA1710–759%-0.01
infernoS1510–567%0.01
nukeS1510–567%-0.01
cacheD101–910%-0.01
mirageD102–820%-0.01
anubisB84–450%-0.02
office—10–10%-0.08
vertigo—11–0100%0.23
overpass—10–10%-0.04
eldorado—11–0100%-0.04
debris—11–0100%0.07
poseidon—11–0100%0.01

Across the last 100 tracked matches.

Lifetime stats

226,172Lifetime kills
1.72K/D · Top 5% of Blue band
5,917Matches
31.0%Match win rate
72.2%Headshot % · Top 1% of Blue band
6.4%Shot accuracy
6,391MVPs
2,509Hours (in match)
2,239Bombs planted
3,027Bombs defused

Most-used weapons

AK-47131,198
AWP4,286
MP94,206
FAMAS2,683
MAC-101,625

Lifetime map wins

6,112nuke
5,343inferno
4,132dust2
2,198vertigo
1,851train
68cbble
64lake
55ar_shoots

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

Faceit stats

Combat

317Matches
51%Win rate
0.89Avg K/D
70.6ADR
44%Headshot %

Clutches & streaks

43%1v1 clutch win
21%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage7447%0.8812.5
Inferno5551%0.8613.4
Ancient4052%0.9213.1
Dust24058%0.8312.4
Nuke3853%1.2013.4
Anubis2255%0.8112.9
Vertigo1164%0.8714.2
Train520%0.6912.6

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.

15.8%Headshot accuracy
33.8%Accuracy (enemy spotted)
33.3%Spray accuracy
74.6%Counter-strafing
10.5°Preaim
549msReaction time
43.5%T opening success
43.5%CT opening success
0.53Enemies flashed / flash
5.8%Flash assists
7.50HE damage / grenade
14.15Flashes / match

Recommended for you

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.

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

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
cache8–13-0.0510%4 Nov →
anubis6–13-0.0216%3 Nov →
cache5–130.0723%3 Nov →
mirage11–13-0.0321%3 Nov →
mirage4–130.068%1 Nov →
ancient13–9-0.0618%1 Nov →
inferno3–130.0121%30 Oct →
cache12–12-0.0415%30 Oct →
office2–13-0.089%30 Oct →
nuke16–14-0.0013%30 Oct →
inferno13–2-0.0016%30 Oct →
dust27–13-0.0631%25 Oct →
nuke13–16-0.0117%25 Oct →
inferno13–30.1011%24 Oct →
cache12–120.0513%23 Oct →
nuke13–40.0119%20 Oct →
mirage5–13-0.0724%19 Oct →
anubis13–9-0.0316%19 Oct →
inferno13–40.0118%18 Oct →
ancient13–80.0114%18 Oct →
inferno3–6-0.0237%17 Oct →
nuke8–8-0.0718%17 Oct →
vertigo9–30.2313%17 Oct →
overpass8–8-0.0420%17 Oct →
inferno0–9-0.1917%17 Oct →
eldorado9–5-0.0425%17 Oct →
debris9–70.0726%17 Oct →
poseidon9–60.0112%17 Oct →
ancient11–13-0.049%17 Oct →
anubis13–5-0.0221%11 Oct →
anubis0–6-0.060%11 Oct →
dust22–13-0.0413%9 Oct →
ancient13–70.0123%9 Oct →
mirage16–14-0.039%9 Oct →
dust25–13-0.059%9 Oct →
dust27–13-0.0618%9 Oct →
dust213–8-0.018%9 Oct →
nuke5–1-0.0023%9 Oct →
nuke9–13-0.049%8 Oct →
inferno9–00.2711%8 Oct →
inferno9–40.0021%8 Oct →
nuke13–60.0023%7 Oct →
cache8–130.0420%7 Oct →
ancient9–13-0.0512%6 Oct →
mirage13–60.0411%2 Oct →
dust210–13-0.0311%2 Oct →
dust25–13-0.0322%2 Oct →
ancient11–13-0.048%1 Oct →
inferno10–13-0.038%30 Sept →
nuke5–13-0.0213%30 Sept →
dust213–60.0623%29 Sept →
mirage11–13-0.0218%27 Sept →
mirage7–13-0.0222%25 Sept →
ancient13–10-0.0114%23 Sept →
dust24–13-0.058%23 Sept →
ancient13–50.0426%20 Sept →
dust213–4-0.0427%20 Sept →
dust213–5-0.067%18 Sept →
cache5–13-0.0413%18 Sept →
nuke13–110.0313%17 Sept →
cache9–130.0316%16 Sept →
anubis5–13-0.0723%16 Sept →
anubis9–13-0.0613%15 Sept →
inferno13–90.0319%14 Sept →
anubis13–100.0716%13 Sept →
dust213–11-0.0218%13 Sept →
ancient13–6-0.0816%13 Sept →
nuke13–50.0419%13 Sept →
inferno13–100.0210%12 Sept →
mirage7–130.0213%6 Sept →
dust213–50.0138%5 Sept →
mirage7–13-0.0414%4 Sept →
nuke13–11-0.0112%4 Sept →
ancient13–9-0.019%4 Sept →
inferno13–100.0121%2 Sept →
dust213–30.0917%1 Sept →
dust29–13-0.0420%30 Aug →
nuke13–100.0226%29 Aug →
nuke13–8-0.019%29 Aug →
ancient13–100.0016%29 Aug →
cache13–50.0326%28 Aug →
dust213–100.0225%23 Aug →
cache10–13-0.0620%21 Aug →
ancient13–40.0621%21 Aug →
inferno13–40.0411%21 Aug →
ancient8–13-0.0114%21 Aug →
dust22–13-0.127%17 Aug →
ancient3–13-0.029%17 Aug →
nuke10–130.0110%17 Aug →
ancient7–13-0.0415%16 Aug →
mirage10–13-0.0114%16 Aug →
ancient8–130.0315%16 Aug →
ancient13–110.0320%9 Aug →
inferno12–12-0.027%8 Aug →
dust211–13-0.0824%8 Aug →
dust213–110.0113%5 Aug →
inferno13–11-0.0120%26 Jul →
nuke13–5-0.0519%25 Jul →
cache2–13-0.0816%25 Jul →
anubis13–90.0619%24 Jul →

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 →

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