Rööci haic

Rööci haic — CS2 Stats

76561199367665961[U:1:1407400233]Steam profile ↗✓ No bans

415Tracked matches73%Win rate2023Tracked since
CSDB Rating7.8 StrongPositional Player
Premier CS Rating14,406Blue band · top ~31.5% of ranked players (population est.)
FaceitLevel 8Top 31.2% of ranked FACEIT players
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: 14,406 +4,292 26 May – 4 Nov · 7 days played
10,00914,737peak 14,73726 May4 Nov
14,999Peak Premier in tracked matches
60Days played since 2024-01-23

Premier CS Rating

  • 331 below peak (14,737)
  • Next: Purple band at 15,000 — 594 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.

Share this profile

CSDB.GGRööci haicFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER14,406 · Blue bandcsdb.gg/stats

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Performance scores

Aim88
Positioning74
Utility66

0–100 skill scores via Leetify.

Recent form

STEADY56–43–1Last 10056%Win rateLLWWWWLWLW

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · −4.4pp headshot accuracy · −19ms reaction

Win rate down 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

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 24%
  • Avg reaction 561ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 29%
  • Avg reaction 581ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.07
  • Avg headshot accuracy 31%
  • Avg reaction 591ms

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 Player — Positioning stands above the rest of this profile (+0.8 against its own average).

Aim8.8
Utility6.6
Positioning7.4
Opening Duels7.4
Clutch5.0

Sharp aimer

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

device

Plays most like device 93% playstyle similarity

Most alike: positioning profile, 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

Strengths

Aim. Aim score of 88 — the mechanical foundation is a clear strength.

CT openings. 63% CT opening-duel success — winning the first fight on the defending side is rare and valuable.

T openings. 64% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 587ms 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

Aim8.8
Positioning7.4
Utility6.6
Mechanics8.3
Opening Duels8.4
Win Impact10.0

Composite 7.8/10 (Strong), 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 rating0.06+0.02
first ⅓ avg 0.04 → last ⅓ avg 0.06
Reaction time596ms−21ms
first ⅓ avg 617ms → last ⅓ avg 596ms
Headshot accuracy29.5%+3.5%
first ⅓ avg 26.0% → last ⅓ avg 29.5%

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

0.26Best match rating · 13–3 · mirage, 30 Oct →
61%Best headshot accuracy · 13–8 · mirage, 30 Oct →
438msFastest reaction time · 10–13 · mirage, 13 Jun →
13–0Biggest win · ancient, 3 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
L2Current streak
4–12In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 88% over 8infernoWeakest map · 22% over 9
MapGradePlayedRecordWin rateAvg rating
mirageA2818–1064%0.06
ancientS1913–668%0.04
anubisA148–657%0.01
dust2D113–827%0.04
infernoD92–722%0.04
nukeS87–188%0.07
cache—42–250%0.05
overpass—33–0100%0.04
vertigo—30–30%0.07
office—10–10%-0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 9). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

518Matches
52%Win rate
1.37Avg K/D
79.2ADR
58%Headshot %

Clutches & streaks

45%1v1 clutch win
28%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage12750%1.3918.3
Anubis9964%1.4618.0
Ancient8748%1.4219.4
Inferno4129%1.2415.9
Dust23152%1.1516.1
Nuke2861%1.1616.9
Vertigo1650%1.4720.5
Overpass956%1.3619.0

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.

29.9%Headshot accuracy
35.3%Accuracy (enemy spotted)
35.3%Spray accuracy
87.3%Counter-strafing
8.2°Preaim
587msReaction time
63.5%T opening success
63.3%CT opening success
0.51Enemies flashed / flash
6.6%Flash assists
14.42HE damage / grenade
16.71Flashes / match

Recommended for you

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.

22% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust211–130.0120%4 Nov →
cache13–160.0030%3 Nov →
mirage13–80.0617%3 Nov →
ancient13–00.0222%3 Nov →
cache13–30.1033%3 Nov →
cache13–70.0133%2 Nov →
dust213–160.0623%2 Nov →
anubis16–140.0137%1 Nov →
dust22–130.0344%31 Oct →
dust213–60.1730%31 Oct →
mirage13–80.1161%30 Oct →
mirage13–30.2627%30 Oct →
dust214–160.0420%30 Oct →
nuke13–10.1526%30 Oct →
mirage13–20.1139%30 Oct →
cache11–130.1019%30 Oct →
nuke13–50.0533%30 Oct →
mirage13–80.0535%24 Oct →
ancient13–90.0542%23 Oct →
mirage13–60.0531%21 Oct →
mirage13–70.0927%19 Oct →
ancient18–220.0132%19 Oct →
mirage13–5-0.0021%18 Oct →
ancient13–10.0924%17 Oct →
nuke13–00.1931%17 Oct →
mirage13–50.0626%16 Oct →
mirage13–20.1515%15 Oct →
anubis13–100.0133%15 Oct →
ancient10–13-0.0235%15 Oct →
ancient13–70.0329%13 Oct →
anubis13–5-0.0417%11 Oct →
mirage4–13-0.0432%10 Oct →
dust213–00.0930%10 Oct →
ancient13–90.0428%10 Oct →
dust211–130.0631%10 Oct →
dust210–13-0.0230%10 Oct →
ancient13–60.0729%9 Oct →
mirage14–160.0136%8 Oct →
nuke13–4-0.0226%3 Oct →
ancient5–13-0.0150%6 Jun →
dust213–30.0624%26 May →
mirage7–130.0328%12 Apr →
mirage14–16-0.0125%12 Apr →
anubis6–130.0847%8 Apr →
mirage13–40.0429%7 Apr →
dust23–13-0.1128%3 Apr →
mirage11–130.0123%3 Apr →
mirage11–13-0.0239%2 Apr →
dust212–120.0623%1 Apr →
mirage13–100.0333%17 Aug →
overpass13–90.1330%27 Jul →
nuke13–30.0937%27 Jul →
anubis5–130.0616%5 Jul →
nuke13–9-0.0427%4 Jul →
anubis13–40.0126%30 Jun →
office0–4-0.050%15 Jun →
ancient13–20.0914%14 Jun →
anubis13–80.0130%13 Jun →
mirage10–13-0.0429%13 Jun →
nuke9–13-0.0115%12 Jun →
inferno13–10.1524%12 Jun →
vertigo4–40.0433%11 Jun →
mirage13–70.0933%11 Jun →
vertigo8–130.0537%7 Jun →
ancient13–20.1216%7 Jun →
inferno8–130.1238%7 Jun →
ancient7–130.0844%29 May →
mirage13–30.0420%23 May →
ancient13–70.1027%22 May →
vertigo11–130.1225%22 May →
nuke13–60.1229%21 May →
ancient13–20.0627%20 May →
anubis13–90.0433%16 May →
anubis13–100.0434%13 May →
mirage13–40.1046%13 May →
mirage8–130.0131%11 Feb →
anubis2–13-0.0315%9 Feb →
ancient13–9-0.0027%9 Feb →
ancient13–110.0424%8 Feb →
inferno4–13-0.0031%2 Feb →
mirage13–110.1223%1 Feb →
inferno5–130.0220%31 Jan →
overpass13–10-0.0017%31 Jan →
inferno16–190.0218%30 Jan →
mirage10–130.0729%29 Jan →
overpass13–8-0.0030%29 Jan →
mirage13–50.0629%29 Jan →
anubis13–70.0829%28 Jan →
inferno5–130.0424%27 Jan →
ancient13–160.0320%27 Jan →
anubis6–13-0.0814%26 Jan →
mirage10–130.1120%26 Jan →
inferno2–13-0.0724%25 Jan →
ancient6–130.0222%24 Jan →
anubis13–16-0.0237%24 Jan →
ancient13–110.0417%24 Jan →
inferno13–60.0528%24 Jan →
mirage13–60.1539%23 Jan →
inferno11–130.0523%23 Jan →
anubis14–160.0127%23 Jan →

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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