OldMateRocky

OldMateRocky — CS2 Stats

AU76561198077581550[U:1:117315822]Steam profile ↗✓ No bans

2,772Tracked matches52%Win rate2020Tracked since
CSDB Rating5.7 SolidSupport
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (38 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 2,772
−3.3ppWin rate · 55.2% → 51.8%

Rating over time

Premier CS Rating: 18,493 -433 22 May – 5 Jul · 13 days played
17,83219,003peak 19,00322 May5 Jul
19,528Peak Premier in tracked matches
34Days played since 2026-05-22

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

Performance scores

Aim74
Positioning52
Utility60

0–100 skill scores via Leetify.

Recent form

COLD42–52–6Last 10042%Win rateTLTLLWLWLW

Last 10 vs previous 10: −50pp win rate · −0.01 avg rating · −1.4pp headshot accuracy · +12ms reaction

Win rate down 50pp 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

  • 0–3–2 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 513ms

Last 10

  • 3–5–2 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 505ms

Last 20

  • 11–7–2 · 55% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 17%
  • Avg reaction 499ms

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 (+0.8 against its own average).

Aim7.4
Utility6.0
Positioning5.2
Opening Duels3.4
Clutch6.0

Effective flashes

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 92% 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 →

Strengths & areas to improve

Areas to improve

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim7.4
Positioning5.2
Utility6.0
Mechanics4.3
Opening Duels2.9
Win Impact5.6

Composite 5.7/10 (Solid), 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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time501ms−56ms
first ⅓ avg 557ms → last ⅓ avg 501ms
Headshot accuracy18.5%−4.8%
first ⅓ avg 23.3% → last ⅓ avg 18.5%

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

0.23Best match rating · 13–3 · nuke, 26 Jun →
67%Best headshot accuracy · 9–13 · inferno, 24 May →
344msFastest reaction time · 6–13 · ancient, 14 Jul →
13–1Biggest win · nuke, 8 Jul →

Across the last 100 tracked matches.

Highlights

7Longest win streak
7–1In matches decided by ≤2 rounds
3Overtime games

Map breakdown

mirageBest map · 67% over 12cacheWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
dust2C2410–1442%0.00
infernoA1810–856%0.05
nukeB136–746%0.05
mirageS128–467%0.02
cacheD91–811%-0.00
anubisA95–456%0.04
ancientD72–529%-0.00
vertigo—40–40%-0.01
office—20–20%0.02
overpass—10–10%0.06
stronghold—10–10%-0.04

Across the last 100 tracked matches.

Faceit stats

Combat

103Matches
47%Win rate
1.45Avg K/D
69.1ADR
39%Headshot %

Clutches & streaks

50%1v1 clutch win
17%1v2 clutch win
6Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage922%0.6811.4
Inferno650%1.0214.2
Dust2520%0.9615.6
Anubis367%1.1315.3
Nuke367%0.6410.0
Ancient10%0.6511.0

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.

17.4%Headshot accuracy
35.2%Accuracy (enemy spotted)
36.0%Spray accuracy
69.3%Counter-strafing
8.2°Preaim
496msReaction time
35.0%T opening success
48.3%CT opening success
0.70Enemies flashed / flash
10.2%Flash assists
10.09HE damage / grenade
7.41Flashes / 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 35.0399% — below the 40% mark we flag

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.

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
dust212–12-0.012%6 Oct →
mirage10–13-0.0610%3 Oct →
cache12–120.0216%1 Oct →
dust26–13-0.0627%12 Sept →
nuke9–130.0320%12 Sept →
inferno13–40.0021%3 Sept →
dust27–130.0320%21 Aug →
dust213–90.0916%21 Aug →
dust24–130.0114%21 Aug →
nuke13–50.0519%21 Aug →
ancient13–110.0212%21 Aug →
mirage13–7-0.0521%18 Jul →
mirage13–11-0.045%17 Jul →
inferno13–110.0224%17 Jul →
ancient6–13-0.0311%14 Jul →
dust213–8-0.0026%14 Jul →
inferno13–110.0712%11 Jul →
anubis16–130.0624%10 Jul →
dust213–50.0419%9 Jul →
cache6–130.0825%9 Jul →
office9–130.0321%9 Jul →
cache9–13-0.0017%9 Jul →
nuke13–10.0613%8 Jul →
dust210–130.0114%8 Jul →
dust24–13-0.0111%8 Jul →
vertigo12–12-0.0314%8 Jul →
ancient6–13-0.0326%5 Jul →
dust28–130.0029%5 Jul →
anubis13–70.0021%3 Jul →
dust213–20.1215%3 Jul →
dust211–13-0.0323%3 Jul →
nuke13–20.1733%2 Jul →
inferno13–70.1228%2 Jul →
anubis9–130.1020%2 Jul →
dust213–110.1132%2 Jul →
anubis4–13-0.0130%2 Jul →
cache7–13-0.0314%2 Jul →
ancient5–13-0.0729%2 Jul →
dust26–13-0.0429%2 Jul →
ancient5–13-0.0326%29 Jun →
dust22–13-0.0333%29 Jun →
mirage13–90.0526%29 Jun →
vertigo4–13-0.0324%29 Jun →
nuke7–13-0.0442%28 Jun →
mirage7–130.0524%28 Jun →
dust27–13-0.078%28 Jun →
inferno13–100.0116%28 Jun →
mirage13–10-0.047%28 Jun →
nuke13–90.0222%27 Jun →
inferno13–60.1631%27 Jun →
inferno13–70.0131%27 Jun →
mirage13–60.0923%27 Jun →
dust213–60.0420%27 Jun →
overpass7–130.0615%27 Jun →
anubis12–120.0126%26 Jun →
mirage13–90.1020%26 Jun →
anubis13–50.1124%26 Jun →
nuke13–30.2326%26 Jun →
dust213–8-0.0122%26 Jun →
inferno6–130.0427%26 Jun →
dust28–13-0.0619%26 Jun →
dust29–130.0733%25 Jun →
vertigo4–130.0532%24 Jun →
nuke13–100.0314%24 Jun →
cache5–130.0323%24 Jun →
ancient10–13-0.0222%23 Jun →
mirage13–50.0422%23 Jun →
anubis13–110.0819%23 Jun →
dust213–10-0.0333%23 Jun →
vertigo12–12-0.0219%22 Jun →
inferno16–140.0425%22 Jun →
inferno6–130.0418%22 Jun →
inferno6–13-0.0722%22 Jun →
dust213–4-0.0018%22 Jun →
anubis13–160.0624%21 Jun →
cache1–13-0.0745%16 Jun →
dust26–2-0.0218%12 Jun →
mirage3–130.0129%11 Jun →
cache2–130.0328%11 Jun →
mirage6–13-0.0013%11 Jun →
inferno9–30.1817%4 Jun →
anubis6–3-0.0423%4 Jun →
mirage13–90.109%4 Jun →
office10–130.0221%4 Jun →
inferno13–80.0212%3 Jun →
cache4–13-0.086%3 Jun →
nuke9–130.0737%3 Jun →
nuke10–130.0824%3 Jun →
inferno8–130.0424%1 Jun →
dust29–13-0.0518%1 Jun →
nuke9–13-0.0413%24 May →
inferno9–130.0267%24 May →
stronghold6–13-0.0414%24 May →
ancient13–70.1530%24 May →
inferno4–13-0.0112%23 May →
cache13–40.0135%23 May →
nuke7–13-0.0221%22 May →
inferno12–120.0721%22 May →
nuke5–13-0.0218%22 May →
inferno10–130.0536%22 May →

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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