Ruutana_

Ruutana_ — CS2 Stats

FI76561199831644710[U:1:1871378982]Steam profile ↗✓ No bans

132Tracked matches55%Win rate2025Tracked since
198Hours in CS
CSDB Rating4.8 DevelopingSupport
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 8,702 -384 2 Sept – 4 Jun · 23 days played
8,48812,642peak 12,6422 Sept4 Jun
12,642Peak Premier in tracked matches
42Days played since 2025-09-02

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

Performance scores

Aim46
Positioning39
Utility61

0–100 skill scores via Leetify.

Recent form

HOT53–41–6Last 10053%Win rateWLWLWTWWWW

Last 10 vs previous 10: +30pp win rate · −0.03 avg rating · +1.7pp headshot accuracy · −56ms reaction

Win rate up 30pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.03), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 569ms

Last 10

  • 7–2–1 · 70% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • Avg reaction 612ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 641ms

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 (+2.2 against its own average).

Aim4.6
Utility6.1
Positioning3.9
Opening Duels1.8

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 74% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 614ms 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

Aim4.6
Positioning3.9
Utility6.1
Mechanics6.5
Opening Duels0.7
Win Impact6.7

Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.01+0.03
first ⅓ avg -0.02 → last ⅓ avg 0.01
Reaction time611ms+8ms
first ⅓ avg 603ms → last ⅓ avg 611ms
Headshot accuracy16.3%+1.8%
first ⅓ avg 14.5% → last ⅓ avg 16.3%

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

0.25Best match rating · 9–4 · nuke, 21 Mar →
35%Best headshot accuracy · 9–1 · inferno, 21 Mar →
359msFastest reaction time · 8–8 · inferno, 8 Oct →
13–0Biggest win · mirage, 25 Feb →

Across the last 100 tracked matches.

Highlights

8Longest win streak
3–10In matches decided by ≤2 rounds
7Overtime games

Map breakdown

cacheBest map · 100% over 6dust2Weakest map · 15% over 13
MapGradePlayedRecordWin rateAvg rating
nukeB179–853%0.01
infernoS1510–567%0.02
mirageA149–564%-0.01
dust2D132–1115%-0.05
ancientS107–370%-0.01
overpassD93–633%-0.02
anubisA74–357%0.01
cacheS66–0100%0.01
train—42–250%0.01
vertigo—20–20%0.03
alpine—10–10%-0.04
poseidon—10–10%0.02
sanctum—11–0100%0.08

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (15% over 13). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

24,246Lifetime kills
1.32K/D · Top 10% of tracked players
705Matches
18.2%Match win rate
67.7%Headshot % · Top 1% of tracked players
0.0%Shot accuracy
472MVPs
198Hours (in match)
168Bombs planted
146Bombs defused

Most-used weapons

Lifetime map wins

371inferno
347nuke
298dust2
145train
59vertigo
16ar_shoots
13italy
5ar_baggage

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.

15.8%Headshot accuracy
30.7%Accuracy (enemy spotted)
31.3%Spray accuracy
79.4%Counter-strafing
12.0°Preaim
614msReaction time
29.8%T opening success
35.4%CT opening success
0.56Enemies flashed / flash
6.7%Flash assists
7.71HE damage / grenade
15.42Flashes / 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. 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 29.7737% — below the 40% mark we flag

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.

15% win rate across 13 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
cache13–60.0526%18 Oct →
vertigo6–130.0320%5 Jun →
dust213–10-0.0816%4 Jun →
inferno6–9-0.0024%15 May →
cache13–80.0426%15 May →
alpine12–12-0.0413%15 May →
cache13–9-0.0218%6 May →
cache13–6-0.0212%6 May →
cache13–80.0717%6 May →
cache13–3-0.037%3 May →
nuke14–160.0413%21 Apr →
anubis3–13-0.0715%6 Apr →
mirage13–10.0217%6 Apr →
anubis2–13-0.079%6 Apr →
overpass8–8-0.0215%21 Mar →
nuke9–40.2524%21 Mar →
vertigo7–90.0310%21 Mar →
poseidon8–80.0217%21 Mar →
inferno9–10.0335%21 Mar →
anubis13–90.068%20 Mar →
dust211–13-0.0211%20 Mar →
ancient11–13-0.0323%11 Mar →
mirage13–70.0419%11 Mar →
nuke4–13-0.0721%11 Mar →
anubis6–13-0.0710%27 Feb →
mirage9–13-0.0910%27 Feb →
inferno11–0-0.010%27 Feb →
mirage13–00.1118%25 Feb →
inferno13–90.1619%25 Feb →
overpass11–130.0313%25 Feb →
anubis13–40.0711%18 Feb →
anubis13–6-0.0119%12 Feb →
mirage11–13-0.0324%12 Feb →
ancient13–110.0212%11 Feb →
sanctum9–30.0822%8 Feb →
dust29–13-0.0326%8 Feb →
mirage9–13-0.0513%8 Feb →
nuke11–130.0414%8 Feb →
dust215–15-0.0513%8 Feb →
nuke6–130.0112%8 Feb →
ancient12–16-0.0319%8 Feb →
mirage13–8-0.0420%6 Feb →
dust29–13-0.0131%6 Feb →
overpass3–13-0.0113%6 Feb →
dust25–13-0.0311%6 Feb →
anubis13–40.1326%4 Feb →
ancient13–00.0514%30 Jan →
inferno5–90.0620%27 Jan →
inferno9–50.2017%27 Jan →
nuke13–8-0.0415%27 Jan →
ancient13–6-0.0116%3 Jan →
inferno16–12-0.043%3 Jan →
nuke13–80.0612%3 Jan →
train13–60.029%3 Jan →
nuke9–13-0.0612%30 Dec →
mirage11–20.0422%30 Dec →
mirage5–13-0.047%30 Dec →
mirage13–9-0.0110%12 Dec →
nuke7–13-0.0122%5 Dec →
inferno11–13-0.0813%4 Dec →
train13–16-0.0317%4 Dec →
inferno13–70.0210%29 Nov →
dust25–13-0.1023%20 Nov →
ancient13–9-0.0611%20 Nov →
ancient13–3-0.049%20 Nov →
mirage10–13-0.0332%12 Nov →
nuke13–40.0517%12 Nov →
dust21–13-0.0917%5 Nov →
train13–30.0211%5 Nov →
train12–120.0012%5 Nov →
nuke13–10.056%18 Oct →
nuke13–3-0.0816%18 Oct →
overpass13–16-0.0712%18 Oct →
nuke13–60.0112%15 Oct →
ancient13–50.0323%15 Oct →
nuke13–60.0212%15 Oct →
overpass13–3-0.0430%15 Oct →
dust28–13-0.0613%10 Oct →
inferno4–13-0.0710%10 Oct →
inferno8–80.0417%8 Oct →
nuke7–9-0.0421%8 Oct →
inferno13–90.029%8 Oct →
nuke5–13-0.0724%8 Oct →
inferno13–7-0.0411%3 Oct →
inferno13–50.017%3 Oct →
overpass4–13-0.0423%3 Oct →
dust26–13-0.0423%3 Oct →
dust27–13-0.0514%30 Sept →
ancient14–16-0.0318%30 Sept →
ancient13–9-0.0312%30 Sept →
overpass3–130.0914%29 Sept →
overpass13–8-0.0213%29 Sept →
mirage13–90.0014%19 Sept →
overpass13–5-0.083%19 Sept →
mirage13–110.0110%19 Sept →
inferno13–5-0.0215%13 Sept →
nuke13–10-0.0410%12 Sept →
dust213–90.0013%12 Sept →
mirage13–11-0.0210%4 Sept →
dust28–13-0.1024%2 Sept →

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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