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rickyplayboy𝟼9

rickyplayboy𝟼9 β€” CS2 Stats

ES76561199053451066[U:1:1093185338]Steam profile β†—βœ“ No bans

2,627Tracked matches43%Win rate2024Tracked since
2,239Hours in CS
CSDB Rating4.5 Developing
Premier CS Rating10,115Blue band Β· top ~54.3% of ranked players (population est.)
CSDB Leaderboard#13663 of 18635 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
WingmanGold Nova I
Ladder ranks via Leetify

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CSDB.GGrickyplayboy𝟼9FACEITLevel 4STANDINGTop 81.0% of rankedPREMIER10,115 · Blue bandcsdb.gg/stats

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Performance scores

Aim59
Positioning45
Utility39

0–100 skill scores via Leetify.

Recent form

COLD42–54–4Last 10042%Win rateLWLLWLLLLL

Last 10 vs previous 10: -40pp win rate Β· -0.02 avg rating

Player DNA

Aim5.9
Aggression7.3
Utility3.9
Positioning4.5
Opening Duels3.2
Clutch3.2

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

Your pro match

ropz

Plays most like ropz 84% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions β€” it says how you play, not that you play at their level. Full comparison β†’

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 51% on CT to 35% on T β€” the same duels are being taken with worse setups on the attacking side.

Reaction time. 648ms from enemy-visible to first shot leaves fights decided before they start β€” warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers β€” no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.9
Positioning4.5
Utility3.9
Mechanics6.0
Opening Duels3.2
Win Impact2.8

Composite 4.5/10 (Developing), a weighted mean of the bars with a small opposition adjustment (Γ—0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00βˆ’0.02
first β…“ avg 0.02 β†’ last β…“ avg 0.00
Reaction time640msβˆ’50ms
first β…“ avg 690ms β†’ last β…“ avg 640ms
Headshot accuracy19.6%+0.4%
first β…“ avg 19.2% β†’ last β…“ avg 19.6%

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

0.12Best rating β€” dust2 13–0
13–0Biggest win β€” dust2
4Longest win streak
6–13In matches decided by ≀2 rounds
12Overtime games

Map breakdown

anubisBest map Β· 64% over 11ancientWeakest map Β· 25% over 12
MapGradePlayedRecordWin rateAvg rating
infernoB209–1145%-0.01
nukeD165–1131%0.03
dust2C166–1038%-0.01
mirageB147–750%0.03
ancientD123–925%-0.01
anubisA117–464%0.02
cacheB84–450%-0.01
vertigoβ€”31–233%0.02

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (25% over 12). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

52,306Lifetime kills
0.77K/D
3,222Matches
41.1%Match win rate
43.5%Headshot %
0.0%Shot accuracy
7,104MVPs
2,239Hours (in match)
2,865Bombs planted
1,653Bombs defused

Most-used weapons

AK-4720,011
M4A4 / M4A1-S10,964
AWP5,173
Desert Eagle4,618
P2000 / USP-S1,810
XM10141,518
Galil AR1,106
Glock-181,103
MAC-101,019
MP7961

Lifetime map wins

6,301inferno
4,513vertigo
4,016nuke
3,040dust2
547train
9office
8cbble
7ar_baggage

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

Faceit stats

Combat

105Matches
50%Win rate
0.95Avg K/D
70.8ADR
39%Headshot %

Clutches & streaks

36%1v1 clutch win
27%1v2 clutch win
5Longest win streak

Recent Faceit resultsLLWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2060%1.0014.8
Anubis1861%0.9415.7
Dust21747%1.1212.8
Inferno1644%0.9214.5
Ancient1540%0.729.8
Nuke1553%0.9514.3
Vertigo250%1.1614.5
Train10%0.8113.0

Faceit-match stats via the FACEIT Data API β€” a separate match pool from the sections above.

Skill profile

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

20.3%Headshot accuracy
32.8%Accuracy (enemy spotted)
37.1%Spray accuracy
77.0%Counter-strafing
10.7Β°Preaim
648msReaction time
34.9%T opening success
51.0%CT opening success
0.41Enemies flashed / flash
6.2%Flash assists
10.75HE damage / grenade
5.64Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag β€” 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 0.4149 β€” below the 0.5 mark we flag

    Grenade Lineups β†’
  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 34.8616% β€” below the 40% mark we flag

Spend your practice time on Ancient

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

25% win rate across 12 tracked games β€” your weakest map with enough games to be worth reading into.

Ancient callouts & strategy β†’Ancient grenade lineups β†’

Recent matches

MapScoreRatingHS%Date
ancient5–13-0.0523%28 Aug β†’
anubis13–60.0930%28 Aug β†’
nuke4–130.0419%28 Aug β†’
anubis9–130.0419%20 Aug β†’
mirage13–100.0519%20 Aug β†’
nuke7–13-0.0429%18 Aug β†’
nuke14–160.0320%18 Aug β†’
dust29–13-0.0617%18 Aug β†’
dust28–13-0.0821%17 Aug β†’
inferno7–13-0.0319%17 Aug β†’
dust213–16-0.0020%14 Aug β†’
nuke6–130.0119%14 Aug β†’
inferno13–70.0729%14 Aug β†’
inferno2–13-0.0440%11 Aug β†’
nuke13–80.0213%11 Aug β†’
inferno4–10.0115%10 Aug β†’
vertigo13–11-0.0123%10 Aug β†’
dust213–60.0833%9 Aug β†’
ancient11–13-0.0215%9 Aug β†’
nuke13–80.0320%9 Aug β†’
mirage3–13-0.0221%9 Aug β†’
cache13–8-0.0136%9 Aug β†’
inferno13–50.1111%9 Aug β†’
anubis3–13-0.0717%9 Aug β†’
anubis13–80.0215%8 Aug β†’
vertigo1–13-0.0414%8 Aug β†’
dust25–13-0.0417%8 Aug β†’
nuke5–130.0515%8 Aug β†’
ancient13–7-0.038%8 Aug β†’
ancient13–9-0.0714%8 Aug β†’
cache13–7-0.007%8 Aug β†’
inferno11–13-0.0313%7 Aug β†’
inferno13–80.0119%7 Aug β†’
inferno4–13-0.0514%7 Aug β†’
mirage10–130.0319%6 Aug β†’
mirage13–30.0225%6 Aug β†’
dust213–90.0214%6 Aug β†’
nuke13–110.0614%6 Aug β†’
inferno11–13-0.0612%6 Aug β†’
dust213–16-0.0616%5 Aug β†’
nuke13–80.0218%5 Aug β†’
nuke8–130.0729%5 Aug β†’
inferno13–7-0.0417%4 Aug β†’
nuke4–130.0719%4 Aug β†’
inferno7–130.0428%4 Aug β†’
cache11–130.0318%3 Aug β†’
inferno16–14-0.0114%3 Aug β†’
nuke13–70.0223%3 Aug β†’
mirage14–160.0721%3 Aug β†’
dust213–40.0327%3 Aug β†’
cache11–13-0.0524%3 Aug β†’
dust213–9-0.0417%3 Aug β†’
mirage13–110.0115%3 Aug β†’
inferno9–13-0.0120%3 Aug β†’
inferno4–9-0.0715%3 Aug β†’
nuke13–16-0.0122%3 Aug β†’
anubis11–130.0312%3 Aug β†’
anubis13–8-0.0216%2 Aug β†’
nuke8–130.0232%2 Aug β†’
cache11–13-0.0233%2 Aug β†’
inferno13–70.0222%2 Aug β†’
inferno13–6-0.0015%2 Aug β†’
dust29–13-0.079%2 Aug β†’
anubis13–60.0211%2 Aug β†’
ancient13–16-0.0120%1 Aug β†’
vertigo9–130.1122%1 Aug β†’
mirage10–130.0022%1 Aug β†’
inferno4–13-0.0714%30 Jul β†’
ancient11–130.0322%30 Jul β†’
anubis7–13-0.0223%30 Jul β†’
mirage6–130.0928%30 Jul β†’
dust25–130.0425%29 Jul β†’
dust215–150.0519%29 Jul β†’
cache13–11-0.028%29 Jul β†’
inferno8–130.0126%28 Jul β†’
mirage13–10.0211%28 Jul β†’
dust210–13-0.0313%28 Jul β†’
ancient8–13-0.0511%28 Jul β†’
mirage13–40.0531%28 Jul β†’
ancient15–150.0213%28 Jul β†’
mirage13–90.0221%27 Jul β†’
dust211–13-0.0213%27 Jul β†’
cache9–130.0122%27 Jul β†’
mirage10–13-0.0312%27 Jul β†’
dust213–00.1242%27 Jul β†’
inferno15–150.0622%27 Jul β†’
anubis13–70.0922%27 Jul β†’
ancient11–130.0626%27 Jul β†’
nuke9–130.0223%27 Jul β†’
cache13–80.0317%26 Jul β†’
inferno16–13-0.0113%26 Jul β†’
ancient4–13-0.0913%26 Jul β†’
ancient13–50.0113%26 Jul β†’
anubis13–6-0.0312%24 Jul β†’
mirage13–70.0429%24 Jul β†’
mirage6–130.0322%24 Jul β†’
dust213–11-0.0219%23 Jul β†’
anubis13–40.0615%23 Jul β†’
ancient15–150.0411%23 Jul β†’
nuke11–130.0124%23 Jul β†’

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone β†’Inventory value for this account β†’Where does this rating sit? Premier rank tiers β†’

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