olrocK

olrocK — CS2 Stats

SE76561198051221632[U:1:90955904]Steam profile ↗✓ No bans

983Tracked matches37%Win rate2020Tracked since
CSDB Rating7.1 StrongPositional Player
Premier CS Rating23,182Top 25% of 205,416 CSDB-tracked playersPink band · top ~5% of ranked players (population est.)
CSDB Leaderboard#40119 of 252698 tracked
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 16 Oct 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: 23,182 -1,818 5 Aug – 16 Oct · 17 days played
22,90325,000peak 25,0005 Aug16 Oct
25,189Peak Premier in tracked matches
33Days played since 2026-08-05

Premier CS Rating

  • 1,818 below peak (25,000)
  • -159 over 30 days · steady
  • Next: Red band at 25,000 — 1,818 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-09-20
  • Purple band first seen 2026-09-20

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

Share this profile

CSDB.GGolrocKPREMIER23,182 · Pink bandcsdb.gg/stats

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Performance scores

Aim85
Positioning81
Utility71

0–100 skill scores via Leetify.

Recent form

STEADY41–59Last 10041%Win rateWWLLLLLWWW

Last 10 vs previous 10: +30pp win rate · +0.01 avg rating · +1.9pp headshot accuracy · −16ms 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

  • 2–3 · 40% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 23%
  • Avg reaction 442ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 23%
  • Avg reaction 477ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 486ms

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 (+1.1 against its own average).

Aim8.5
Utility7.1
Positioning8.1
Opening Duels5.9

Sharp aimerEffective flashesStrong positioning

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

donk

Plays most like donk 86% playstyle similarity

Most alike: opening-duel success, positioning 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

T openings. 67% T opening-duel success — entries that actually open the round.

Flashes. 0.84 enemies blinded per flash — utility that consistently lands.

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

Aim8.5
Positioning8.1
Utility7.1
Mechanics6.1
Opening Duels7.9
Win Impact0.6

Composite 7.1/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time515ms−10ms
first ⅓ avg 525ms → last ⅓ avg 515ms
Headshot accuracy22.8%+3.4%
first ⅓ avg 19.3% → last ⅓ avg 22.8%

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

0.21Best match rating · 9–3 · debris, 17 Sept →
39%Best headshot accuracy · 6–13 · dust2, 14 Oct →
367msFastest reaction time · 11–13 · inferno, 14 Aug →
13–2Biggest win · overpass, 15 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
11–9In matches decided by ≤2 rounds
5Overtime games

Map breakdown

nukeBest map · 53% over 15ancientWeakest map · 0% over 7
MapGradePlayedRecordWin rateAvg rating
infernoB2312–1152%0.01
anubisC187–1139%0.02
nukeB158–753%0.07
dust2C135–838%0.02
ancientD70–70%0.01
cacheD61–517%0.00
vertigoB63–350%-0.01
mirageD60–60%-0.01
overpass—21–150%0.11
train—22–0100%0.05
debris—11–0100%0.21
office—11–0100%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (0% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

22.0%Headshot accuracy
35.9%Accuracy (enemy spotted)
40.9%Spray accuracy
77.4%Counter-strafing
8.9°Preaim
502msReaction time
67.3%T opening success
56.0%CT opening success
0.84Enemies flashed / flash
8.3%Flash assists
11.72HE damage / grenade
9.79Flashes / match

Recommended for you

Spend your practice time on Ancient

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

0% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust225–230.0722%16 Oct →
nuke13–110.1419%16 Oct →
inferno3–13-0.1031%16 Oct →
dust24–13-0.0421%15 Oct →
anubis9–13-0.0523%15 Oct →
nuke11–130.0219%15 Oct →
dust26–130.0439%14 Oct →
inferno13–90.0421%14 Oct →
dust213–80.0115%13 Oct →
inferno13–30.0621%13 Oct →
anubis16–140.0311%13 Oct →
inferno8–130.0326%12 Oct →
cache9–130.0211%7 Oct →
inferno4–13-0.0423%6 Oct →
nuke13–110.0121%6 Oct →
dust28–13-0.0515%6 Oct →
vertigo3–13-0.0521%5 Oct →
inferno0–13-0.0726%5 Oct →
dust27–130.1427%5 Oct →
nuke11–130.0529%5 Oct →
vertigo13–11-0.0117%4 Oct →
anubis8–130.0321%4 Oct →
dust213–70.1128%3 Oct →
inferno13–110.0726%3 Oct →
nuke13–100.0519%3 Oct →
mirage0–13-0.050%28 Sept →
nuke11–130.1422%28 Sept →
mirage7–130.0126%17 Sept →
debris9–30.2119%17 Sept →
overpass9–130.0534%16 Sept →
cache2–13-0.0829%16 Sept →
dust213–70.0139%16 Sept →
inferno4–130.0030%16 Sept →
anubis13–50.0717%16 Sept →
overpass13–20.1721%15 Sept →
nuke11–130.0731%15 Sept →
inferno6–13-0.0014%15 Sept →
dust28–13-0.0021%15 Sept →
ancient4–130.0215%14 Sept →
nuke13–90.1228%14 Sept →
inferno13–100.0015%7 Sept →
anubis8–13-0.009%7 Sept →
inferno10–130.0122%7 Sept →
vertigo13–90.0228%6 Sept →
anubis10–130.0122%6 Sept →
dust211–13-0.0427%6 Sept →
anubis13–70.0222%4 Sept →
vertigo13–50.0323%4 Sept →
inferno13–20.1233%4 Sept →
dust213–40.0916%4 Sept →
train13–60.1429%4 Sept →
ancient11–130.0722%3 Sept →
inferno13–110.0618%3 Sept →
anubis13–110.1225%27 Aug →
nuke13–60.0128%27 Aug →
dust210–130.0016%27 Aug →
inferno13–8-0.0026%27 Aug →
mirage10–130.0223%27 Aug →
inferno16–190.0421%26 Aug →
nuke11–130.0820%26 Aug →
anubis11–130.0029%25 Aug →
vertigo8–130.0122%25 Aug →
anubis10–130.0724%25 Aug →
ancient6–13-0.0214%24 Aug →
inferno4–13-0.0119%24 Aug →
anubis9–130.0213%24 Aug →
nuke9–13-0.0031%24 Aug →
ancient8–130.0418%18 Aug →
anubis13–60.1318%18 Aug →
anubis19–160.0326%17 Aug →
inferno13–40.0624%17 Aug →
inferno9–60.0119%17 Aug →
ancient8–13-0.0124%16 Aug →
inferno13–80.0825%15 Aug →
cache4–13-0.0519%15 Aug →
anubis16–140.0621%15 Aug →
mirage8–13-0.027%14 Aug →
inferno11–13-0.0417%14 Aug →
nuke13–40.1025%14 Aug →
ancient2–13-0.0020%13 Aug →
inferno13–110.0420%13 Aug →
nuke13–70.1631%13 Aug →
nuke8–130.0519%13 Aug →
cache13–40.1212%8 Aug →
mirage5–13-0.0318%8 Aug →
vertigo6–13-0.0412%8 Aug →
anubis0–13-0.0519%8 Aug →
anubis2–130.0124%7 Aug →
cache5–13-0.0315%7 Aug →
mirage8–13-0.0017%7 Aug →
anubis6–13-0.0515%6 Aug →
dust23–13-0.0220%6 Aug →
inferno13–90.0113%6 Aug →
nuke13–90.0628%6 Aug →
inferno5–13-0.0514%6 Aug →
train13–11-0.0327%6 Aug →
office13–70.0215%6 Aug →
cache8–130.0225%5 Aug →
anubis7–13-0.0313%5 Aug →
ancient4–130.0120%5 Aug →

Match data via Leetify.

Recent teammates

Milestones

500 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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