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Rooby Racks

Rooby Racks — CS2 Stats

US76561198050799867[U:1:90534139]Steam profile ↗

1,523Tracked matches46%Win rate2021Tracked since
3,443Hours in CS8Hrs last 2 wks
CSDB Rating4.1 Developing
WingmanGold Nova II
Ladder ranks via Leetify

Performance scores

Aim47
Positioning41
Utility68

0–100 skill scores via Leetify.

Recent form

STEADY42–47–11Last 10042%Win rateLLLLLWWWWW

Last 10 vs previous 10: +10pp win rate · -0.01 avg rating

Player DNA

Aim4.7
Aggression4.9
Utility6.8
Positioning4.1
Opening Duels0.8
Clutch3.8

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 83% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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. 608ms 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

Aim4.7
Positioning4.1
Utility6.8
Mechanics5.3
Opening Duels0.8
Win Impact3.8

Composite 4.1/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time602ms−32ms
first ⅓ avg 634ms → last ⅓ avg 602ms
Headshot accuracy12.4%+0.6%
first ⅓ avg 11.8% → last ⅓ avg 12.4%

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.

Highlights

0.11Best rating — cache 5–1
13–0Biggest win — mirage
5Longest win streak
L5Current streak
8–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

trainBest map · 100% over 5infernoWeakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
nukeC207–1335%-0.02
mirageD186–1233%-0.03
infernoD165–1131%-0.02
ancientB137–654%0.00
anubisC104–640%0.00
dust2D93–633%-0.01
trainS55–0100%0.02
cache—32–167%0.03
overpass—31–233%-0.01
eldorado—11–0100%0.07
vertigo—11–0100%-0.03
warden—10–10%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

145,713Lifetime kills
1.52K/D · Top 5% of tracked players
4,289Matches
43.9%Match win rate
47.8%Headshot % · Top 50% of tracked players
16.8%Shot accuracy · Top 25% of tracked players
23,766MVPs
1,644Hours (in match)
3,649Bombs planted
3,042Bombs defused

Most-used weapons

AK-4763,341
M4A4 / M4A1-S27,195
Desert Eagle10,140
AWP8,449
P2000 / USP-S6,703
Galil AR5,449
Glock-184,061
FAMAS2,372
P2502,217
MAC-101,996

Lifetime map wins

4,590nuke
4,402inferno
3,235vertigo
2,952dust2
1,516train
246cbble
92bank
83lake

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

367Matches
52%Win rate
1.01Avg K/D
77.1ADR
39%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
11Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient5358%1.0915.7
Anubis4560%1.0214.8
Nuke3658%1.0213.7
Mirage3450%1.0613.7
Inferno3339%0.9713.8
Vertigo2556%1.0716.4
Dust21436%0.8012.4
Train633%0.8112.3

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.

12.1%Headshot accuracy
32.6%Accuracy (enemy spotted)
32.5%Spray accuracy
74.1%Counter-strafing
10.4°Preaim
608msReaction time
33.5%T opening success
32.9%CT opening success
0.57Enemies flashed / flash
8.9%Flash assists
7.34HE damage / grenade
19.26Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 12.1252% — below the 15% mark we flag

    Aim Training →
  2. 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 33.4569% — below the 40% mark we flag

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.

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage2–13-0.046%29 Aug →
mirage1–13-0.0911%29 Aug →
nuke1–13-0.083%29 Aug →
anubis8–13-0.0618%12 Aug →
mirage10–13-0.0411%11 Aug →
eldorado9–50.0714%9 Aug →
cache13–4-0.048%8 Aug →
cache5–10.1133%8 Aug →
dust213–11-0.0314%14 Jul →
ancient16–12-0.038%6 Jul →
ancient6–13-0.049%6 Jul →
ancient13–11-0.0411%30 Jun →
dust213–100.0010%30 Jun →
inferno7–9-0.048%30 Jun →
dust212–120.0015%28 Jun →
mirage8–130.0210%25 Jun →
inferno8–13-0.076%8 Jun →
nuke3–13-0.0120%8 Jun →
mirage13–9-0.0120%8 Jun →
anubis13–20.0610%7 Jun →
ancient5–13-0.0014%7 Jun →
ancient12–160.0311%3 Jun →
nuke10–130.0214%2 Jun →
ancient13–50.026%2 Jun →
nuke13–70.0112%31 May →
mirage9–13-0.0314%31 May →
nuke13–11-0.0824%26 May →
ancient13–70.0313%26 May →
nuke13–60.0510%21 May →
anubis4–13-0.028%21 May →
cache12–120.037%9 May →
inferno4–13-0.0421%9 May →
inferno8–8-0.0113%24 Apr →
ancient12–120.0722%12 Apr →
overpass5–13-0.029%11 Apr →
nuke13–110.0118%5 Apr →
inferno13–6-0.027%31 Mar →
inferno10–13-0.0012%31 Mar →
nuke7–13-0.0617%31 Mar →
dust24–13-0.036%30 Mar →
nuke8–13-0.0422%30 Mar →
inferno16–130.0517%25 Mar →
mirage13–11-0.0111%24 Mar →
ancient8–130.0213%23 Mar →
anubis11–13-0.037%22 Mar →
mirage13–9-0.049%21 Mar →
nuke4–13-0.0718%21 Mar →
nuke8–13-0.0022%16 Mar →
mirage7–13-0.0314%16 Mar →
anubis12–120.0014%11 Mar →
nuke5–130.0313%9 Mar →
inferno11–13-0.0111%7 Mar →
inferno13–6-0.023%5 Mar →
inferno12–120.0314%3 Mar →
nuke8–130.0211%28 Feb →
mirage5–13-0.0513%26 Feb →
nuke13–7-0.0116%26 Feb →
ancient11–130.0016%25 Feb →
overpass13–80.039%14 Feb →
mirage10–13-0.068%14 Feb →
inferno13–9-0.0212%12 Feb →
mirage16–14-0.0410%12 Feb →
nuke13–5-0.039%11 Feb →
inferno6–13-0.0127%10 Feb →
nuke9–130.002%10 Feb →
dust212–16-0.0115%9 Feb →
ancient13–8-0.0513%3 Feb →
mirage13–11-0.0420%2 Feb →
anubis11–130.0312%2 Feb →
ancient16–130.1010%1 Feb →
nuke6–13-0.039%28 Jan →
vertigo13–8-0.033%22 Jan →
anubis13–5-0.0210%22 Jan →
anubis4–13-0.029%22 Jan →
anubis7–00.080%22 Jan →
anubis13–3-0.016%22 Jan →
warden12–120.0114%21 Jan →
inferno10–130.0118%9 Jan →
inferno16–13-0.0520%4 Jan →
dust29–13-0.007%4 Jan →
mirage15–15-0.089%2 Jan →
nuke15–150.0014%2 Jan →
dust216–14-0.0313%31 Dec →
train13–6-0.0215%3 Dec →
nuke3–13-0.0815%3 Dec →
ancient13–9-0.0512%2 Dec →
train13–40.0111%2 Dec →
train13–30.0610%2 Dec →
train13–60.0020%20 Nov →
train13–70.035%16 Nov →
dust29–13-0.0017%7 Nov →
nuke13–80.028%3 Nov →
dust215–150.0416%3 Nov →
inferno6–90.0514%28 Oct →
inferno1–9-0.190%28 Oct →
mirage12–12-0.0110%15 Oct →
mirage13–00.0518%15 Oct →
mirage8–13-0.0320%15 Oct →
mirage5–13-0.0512%6 Oct →
overpass9–13-0.0313%6 Oct →

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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