rubble

rubble — CS2 Stats

76561199179267927[U:1:1219002199]Steam profile ↗✓ No bans

984Tracked matches63%Win rate2024Tracked since
CSDB Rating6.2 SolidPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 11 Sep 2026 (50 days ago). Ranks are recorded once per day this page is viewed.

+42Tracked matches · now 984
+22.2ppWin rate · 40.7% → 63.0%

Rating over time

Faceit ELO: 961 +0 31 Aug – 11 Sept · 2 observations
961961peak 96131 Aug11 Sept
961Highest Faceit ELO seen on CSDB
37Days played since 2026-07-05

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

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Performance scores

Aim64
Positioning66
Utility43

0–100 skill scores via Leetify.

Recent form

STEADY49–43–8Last 10049%Win rateTLLLLWWWWW

Last 10 vs previous 10: −40pp win rate · −0.00 avg rating · −6.6pp headshot accuracy · +18ms 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

  • 0–4–1 · 0% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 20%
  • Avg reaction 595ms

Last 10

  • 5–4–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 599ms

Last 20

  • 14–5–1 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 23%
  • Avg reaction 590ms

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 (+1.3 against its own average).

Aim6.4
Utility4.3
Positioning6.6
Opening Duels4.5
Clutch6.0

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

m0NESY

Plays most like m0NESY 82% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 596ms 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

Aim6.4
Positioning6.6
Utility4.3
Mechanics6.1
Opening Duels4.8
Win Impact9.3

Composite 6.2/10 (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 rating0.01+0.01
first ⅓ avg 0.00 → last ⅓ avg 0.01
Reaction time589ms−36ms
first ⅓ avg 624ms → last ⅓ avg 589ms
Headshot accuracy20.1%+1.0%
first ⅓ avg 19.1% → last ⅓ avg 20.1%

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

0.11Best match rating · 8–13 · ancient, 9 Sept →
50%Best headshot accuracy · 9–13 · cache, 26 Aug →
375msFastest reaction time · 2–13 · cache, 21 Aug →
13–0Biggest win · nuke, 16 Oct →

Across the last 100 tracked matches.

Highlights

14Longest win streak
4–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

nukeBest map · 88% over 8officeWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B2412–1250%-0.00
infernoB199–1047%0.02
mirageA148–657%-0.00
cacheD124–833%0.01
ancientD124–833%0.00
nukeS87–188%0.01
officeD51–420%-0.01
anubisA53–260%0.04
vertigo—11–0100%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

4Matches
25%Win rate
0.68Avg K/D
66.6ADR
44%Headshot %

Clutches & streaks

50%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust220%0.589.5
Inferno10%0.508.0
Cache1100%1.0716.0

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.

20.3%Headshot accuracy
32.7%Accuracy (enemy spotted)
33.2%Spray accuracy
77.5%Counter-strafing
9.8°Preaim
596msReaction time
50.1%T opening success
48.1%CT opening success
0.49Enemies flashed / flash
4.7%Flash assists
7.19HE damage / grenade
7.93Flashes / 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. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4923 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
office12–12-0.0411%28 Oct →
cache3–130.0420%28 Oct →
anubis8–130.0026%28 Oct →
ancient9–13-0.0721%28 Oct →
cache10–120.0222%28 Oct →
inferno13–60.0222%27 Oct →
mirage13–80.0815%25 Oct →
ancient13–110.0319%24 Oct →
anubis13–70.0915%23 Oct →
mirage13–8-0.0526%21 Oct →
nuke13–5-0.0329%21 Oct →
dust213–20.0521%17 Oct →
mirage13–9-0.0034%17 Oct →
mirage13–8-0.0111%17 Oct →
nuke13–0-0.0040%16 Oct →
inferno13–40.0345%16 Oct →
ancient13–40.0224%16 Oct →
inferno13–8-0.0318%15 Oct →
inferno13–90.1026%15 Oct →
dust28–130.0115%15 Oct →
cache13–40.038%9 Oct →
cache12–12-0.0115%4 Oct →
dust213–8-0.0224%4 Oct →
inferno4–130.0211%4 Oct →
inferno11–13-0.0213%2 Oct →
dust29–13-0.0321%2 Oct →
office12–120.0123%25 Sept →
dust26–50.0315%25 Sept →
ancient8–13-0.0313%23 Sept →
dust28–130.0313%23 Sept →
dust213–8-0.0216%23 Sept →
inferno7–130.0021%18 Sept →
inferno13–70.0810%18 Sept →
mirage13–90.057%18 Sept →
ancient2–13-0.0310%18 Sept →
mirage8–13-0.0118%14 Sept →
inferno13–3-0.0315%14 Sept →
mirage4–13-0.0921%13 Sept →
dust212–12-0.0132%13 Sept →
inferno13–80.0533%11 Sept →
inferno13–100.0627%11 Sept →
ancient13–40.0834%11 Sept →
ancient8–130.1126%9 Sept →
dust213–9-0.0115%9 Sept →
mirage13–6-0.0415%3 Sept →
mirage1–70.0215%3 Sept →
mirage13–6-0.0115%3 Sept →
cache13–70.0530%3 Sept →
inferno5–50.0622%3 Sept →
office12–12-0.0312%3 Sept →
inferno12–120.0433%3 Sept →
nuke13–100.0425%3 Sept →
office13–100.0215%2 Sept →
ancient6–130.0927%29 Aug →
ancient10–13-0.0323%29 Aug →
cache2–130.0215%29 Aug →
cache13–50.0621%26 Aug →
cache5–13-0.0225%26 Aug →
cache9–13-0.0050%26 Aug →
inferno11–130.0018%25 Aug →
anubis13–60.0430%25 Aug →
dust212–12-0.0517%25 Aug →
inferno8–13-0.0415%24 Aug →
cache0–12-0.057%24 Aug →
inferno9–13-0.0222%21 Aug →
dust23–13-0.0621%21 Aug →
ancient10–13-0.0226%21 Aug →
dust24–13-0.0038%21 Aug →
cache2–13-0.0338%21 Aug →
inferno13–20.1119%12 Aug →
dust213–8-0.0314%12 Aug →
dust213–100.0420%12 Aug →
inferno7–13-0.066%12 Aug →
mirage6–13-0.0614%8 Aug →
dust213–90.029%8 Aug →
nuke13–90.0421%8 Aug →
dust23–13-0.0219%4 Aug →
dust213–20.0439%2 Aug →
dust213–50.0620%2 Aug →
dust25–13-0.0632%22 Jul →
anubis9–130.0525%22 Jul →
nuke13–40.0116%22 Jul →
anubis13–80.0417%22 Jul →
dust26–13-0.059%21 Jul →
ancient13–11-0.0918%21 Jul →
dust213–4-0.0114%13 Jul →
inferno5–13-0.0516%13 Jul →
mirage10–130.0419%11 Jul →
mirage15–150.0214%11 Jul →
mirage13–90.0317%11 Jul →
dust213–90.0719%11 Jul →
nuke13–60.0119%11 Jul →
nuke13–50.0124%11 Jul →
dust24–130.0224%11 Jul →
office1–13-0.019%7 Jul →
ancient9–13-0.047%7 Jul →
vertigo13–10-0.0332%7 Jul →
nuke9–130.0016%6 Jul →
dust26–13-0.0115%6 Jul →
cache13–110.0111%5 Jul →

Match data via Leetify.

Recent teammates

Milestones

500 Matches14-Win Streak
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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