mrRoobzo

mrRoobzo — CS2 Stats

SE76561198150738097[U:1:190472369]Steam profile ↗✓ No bans

694Tracked matches70%Win rate2020Tracked since
CSDB Rating6.5 SolidPositional Player
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

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CSDB.GGmrRoobzoFACEITLevel 8STANDINGTop 31.2% of rankedcsdb.gg/stats

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Performance scores

Aim80
Positioning58
Utility53

0–100 skill scores via Leetify.

Recent form

HOT64–29–7Last 10064%Win rateWWWWWTTLWW

Last 10 vs previous 10: +20pp win rate · +0.07 avg rating · −2.7pp headshot accuracy · −27ms reaction

Win rate up 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

  • 5–0 · 100% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 19%
  • Avg reaction 581ms

Last 10

  • 7–1–2 · 70% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 18%
  • Avg reaction 550ms

Last 20

  • 12–5–3 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 564ms

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 (+1.6 against its own average).

Aim8.0
Utility5.3
Positioning5.8
Opening Duels1.6
Clutch4.0

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

iM

Plays most like iM 89% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower opening-duel success.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

CSDB Rating breakdown

Aim8.0
Positioning5.8
Utility5.3
Mechanics5.8
Opening Duels2.7
Win Impact10.0

Composite 6.5/10 (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 rating0.03−0.00
first ⅓ avg 0.03 → last ⅓ avg 0.03
Reaction time544ms−52ms
first ⅓ avg 595ms → last ⅓ avg 544ms
Headshot accuracy18.4%−4.4%
first ⅓ avg 22.8% → last ⅓ avg 18.4%

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

0.16Best match rating · 13–5 · mirage, 28 Oct →
48%Best headshot accuracy · 13–2 · mirage, 25 Sept →
375msFastest reaction time · 13–6 · ancient, 28 Oct →
13–1Biggest win · nuke, 18 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
W5Current streak
8–6In matches decided by ≤2 rounds
7Overtime games

Map breakdown

dust2Best map · 86% over 7infernoWeakest map · 50% over 8
MapGradePlayedRecordWin rateAvg rating
mirageA3721–1657%0.02
ancientA138–562%0.02
cacheS139–469%0.04
anubisS96–367%0.01
infernoB84–450%0.01
dust2S76–186%-0.00
nukeS76–186%0.05
vertigo—21–150%0.04
debris—11–0100%0.16
overpass—11–0100%0.05
boulder—11–0100%0.03
train—10–10%0.05

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (50% over 8). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

1,132Matches
53%Win rate
1.32Avg K/D
82.0ADR
46%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsWWLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage4168%1.4017.4
Anubis3743%1.1916.2
Dust23554%1.0215.3
Cache3060%1.1315.8
Inferno3047%1.1216.1
Ancient2955%1.1815.0
Nuke2854%1.2716.0
Overpass20%1.3021.0

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.

18.3%Headshot accuracy
37.0%Accuracy (enemy spotted)
42.0%Spray accuracy
76.0%Counter-strafing
8.9°Preaim
538msReaction time
41.5%T opening success
39.7%CT opening success
0.45Enemies flashed / flash
2.1%Flash assists
7.83HE damage / grenade
11.36Flashes / 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 0.4525 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.7309% — below the 40% mark we flag

Recent matches

MapScoreRatingHS%Date
anubis16–130.1216%4 Nov →
vertigo13–90.0418%4 Nov →
dust213–90.0519%3 Nov →
ancient13–30.0614%3 Nov →
nuke7–20.0327%3 Nov →
inferno12–120.0515%3 Nov →
inferno12–120.0619%3 Nov →
inferno5–130.0016%2 Nov →
debris9–40.1623%2 Nov →
cache13–20.0716%2 Nov →
cache7–130.0224%2 Nov →
cache13–40.0227%2 Nov →
cache13–11-0.0313%1 Nov →
mirage7–13-0.0026%1 Nov →
mirage13–5-0.0134%1 Nov →
anubis13–6-0.047%1 Nov →
cache13–60.098%1 Nov →
mirage4–13-0.0729%31 Oct →
mirage12–12-0.0128%30 Oct →
ancient9–13-0.0412%30 Oct →
inferno13–90.0015%30 Oct →
inferno13–8-0.0013%30 Oct →
nuke13–30.0517%30 Oct →
ancient16–140.0517%29 Oct →
cache20–22-0.0213%29 Oct →
mirage13–80.1016%29 Oct →
mirage13–50.1625%28 Oct →
ancient13–60.0720%28 Oct →
anubis13–8-0.0116%27 Oct →
mirage5–13-0.0423%27 Oct →
anubis15–19-0.0121%26 Oct →
anubis14–16-0.0111%25 Oct →
nuke13–110.0212%25 Oct →
nuke13–90.0814%24 Oct →
mirage13–100.0330%22 Oct →
anubis13–60.0516%22 Oct →
dust213–4-0.0231%21 Oct →
mirage10–13-0.037%21 Oct →
nuke8–80.0211%21 Oct →
dust216–140.009%21 Oct →
mirage7–130.075%19 Oct →
ancient13–40.0217%19 Oct →
nuke13–10.059%18 Oct →
inferno13–9-0.0320%18 Oct →
ancient10–13-0.0417%17 Oct →
mirage13–11-0.0118%17 Oct →
cache13–50.0620%16 Oct →
dust213–5-0.0511%16 Oct →
ancient7–13-0.0123%16 Oct →
dust213–8-0.0019%14 Oct →
mirage13–11-0.0113%13 Oct →
mirage13–30.0829%12 Oct →
mirage8–130.0225%11 Oct →
cache13–30.0616%11 Oct →
ancient13–90.0416%11 Oct →
ancient13–40.0320%11 Oct →
ancient13–10-0.0230%11 Oct →
cache13–40.0517%10 Oct →
dust210–13-0.0228%10 Oct →
anubis13–60.0615%8 Oct →
anubis13–50.0018%8 Oct →
mirage13–8-0.0027%5 Oct →
dust213–110.0322%5 Oct →
cache13–6-0.0125%4 Oct →
mirage9–130.0423%2 Oct →
ancient13–60.0716%1 Oct →
anubis11–13-0.0618%1 Oct →
ancient5–13-0.0533%30 Sept →
mirage6–13-0.0422%27 Sept →
inferno13–110.0721%26 Sept →
mirage12–120.0621%26 Sept →
mirage13–20.0648%25 Sept →
mirage1–13-0.0414%19 Sept →
mirage7–13-0.0132%13 Sept →
mirage9–13-0.0229%6 Sept →
mirage12–120.0724%21 Aug →
mirage6–13-0.0113%20 Aug →
inferno6–9-0.0818%20 Aug →
mirage13–70.0722%19 Aug →
cache12–120.0824%19 Aug →
cache13–70.1218%16 Aug →
mirage13–100.0426%16 Aug →
mirage13–80.0417%16 Aug →
mirage13–30.0418%14 Aug →
mirage13–4-0.0213%13 Aug →
mirage13–60.1529%13 Aug →
vertigo11–130.0311%3 Aug →
nuke13–30.0921%3 Aug →
ancient14–160.0816%3 Aug →
overpass13–100.0522%2 Aug →
mirage13–9-0.0519%31 Jul →
mirage11–130.0522%31 Jul →
mirage13–4-0.0146%30 Jul →
mirage13–70.0717%26 Jul →
mirage13–7-0.0014%22 Jul →
cache5–130.0331%19 Jul →
mirage13–90.0220%16 Jul →
boulder13–10.0319%16 Jul →
train9–130.0525%16 Jul →
mirage13–20.1027%14 Jul →

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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