Rubber Johnny

Rubber Johnny — CS2 Stats

US76561197983619235[U:1:23353507]Steam profile ↗

3,610Tracked matches52%Win rate2020Tracked since
CSDB Rating6.7 SolidAggressive Rifler
Premier CS Rating26,139Top 25% of 819 CSDB-tracked playersRed band · top ~2.5% of ranked players (population est.)
CSDB Leaderboard#1364 of 13306 tracked
FaceitLevel 8 · 1,888 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

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CSDB.GGRubber JohnnyFACEITLevel 8 · 1,888 ELOSTANDINGTop 31.2% of rankedPREMIER26,139 · Red bandcsdb.gg/stats

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Performance scores

Aim75
Positioning66
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY434512Last 10043%Win rateWLLWLLLWWL

Last 10 vs previous 10: -10pp win rate · -0.07 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.5
Aggression8.5
Utility6.4
Positioning6.6
Opening Duels3.4
Clutch3.4

Strong CT-side opener

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

b1t

Plays most like b1t 95% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

T-side openings. Opening success drops from 55% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

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

Aim7.5
Positioning6.6
Utility6.4
Mechanics6.5
Opening Duels3.4
Win Impact5.7

Composite 6.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.01
first ⅓ avg 0.02 → last ⅓ avg 0.03
Reaction time493ms−67ms
first ⅓ avg 560ms → last ⅓ avg 493ms
Headshot accuracy17.4%−3.2%
first ⅓ avg 20.5% → last ⅓ avg 17.4%

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

0.19Best rating — ancient 12–12
131Biggest win — cache
5Longest win streak
56In matches decided by ≤2 rounds
2Overtime games

Map breakdown

cacheBest map · 67% over 12ancientWeakest map · 31% over 13
MapGradePlayedRecordWin rateAvg rating
dust2D40132733%0.01
mirageA169756%0.00
ancientD134931%0.03
cacheS128467%0.02
trainB115645%0.06
inferno41325%0.04
anubis220100%0.11
nuke21150%0.04

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (31% over 13). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

707Matches
52%Win rate
1.30Avg K/D
72.7ADR
37%Headshot %

Clutches & streaks

37%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWWLW

MapMatchesWin rateAvg K/DAvg kills
Anubis2763%1.6415.7
Dust22352%1.0014.9
Mirage1638%0.9914.6
Inferno1533%0.9914.8
Ancient1573%1.3316.9
Nuke862%0.9011.6
Overpass757%1.1914.9
Cache633%1.0915.5

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.

18.2%Headshot accuracy
34.0%Accuracy (enemy spotted)
36.9%Spray accuracy
79.4%Counter-strafing
9.1°Preaim
527msReaction time
33.0%T opening success
54.6%CT opening success
0.66Enemies flashed / flash
9.2%Flash assists
9.99HE damage / grenade
14.24Flashes / 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 32.9596% — below the 40% mark we flag

Spend your practice time on Ancient

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 13 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–6-0.0421%28 Aug
dust210–13-0.0120%27 Aug
inferno10–130.0824%27 Aug
ancient13–30.0618%26 Aug
dust28–13-0.120%26 Aug
mirage3–10-0.140%25 Aug
ancient4–13-0.0727%25 Aug
dust26–3-0.020%25 Aug
cache13–10.0515%24 Aug
dust28–130.0310%24 Aug
anubis12–10.1211%23 Aug
mirage7–13-0.0314%23 Aug
cache13–100.0523%23 Aug
mirage13–90.0719%23 Aug
dust213–50.1117%23 Aug
train12–120.1419%23 Aug
dust213–110.0323%23 Aug
ancient4–13-0.0413%23 Aug
dust212–120.0225%23 Aug
dust211–130.0313%23 Aug
mirage13–80.0120%23 Aug
dust212–120.0323%23 Aug
train12–120.0118%22 Aug
cache13–60.0417%22 Aug
mirage13–70.1118%22 Aug
dust27–13-0.0418%22 Aug
ancient5–130.0922%21 Aug
train12–120.0717%21 Aug
dust211–130.0524%21 Aug
cache13–30.0610%20 Aug
ancient12–120.1915%20 Aug
dust21–11-0.0627%20 Aug
dust22–4-0.0133%20 Aug
dust25–130.0215%18 Aug
mirage13–10.1218%18 Aug
cache16–190.0717%16 Aug
mirage1–13-0.058%16 Aug
train7–10.039%16 Aug
cache13–6-0.0020%16 Aug
dust23–9-0.0370%16 Aug
train10–130.0424%16 Aug
dust213–100.0211%16 Aug
cache4–13-0.0323%15 Aug
ancient13–30.0611%15 Aug
mirage13–90.0319%15 Aug
dust212–120.0323%15 Aug
nuke13–80.0217%15 Aug
mirage13–100.0018%15 Aug
dust24–130.076%15 Aug
train13–30.1234%15 Aug
ancient13–9-0.0211%15 Aug
dust29–13-0.0328%15 Aug
nuke5–110.0725%14 Aug
dust213–40.068%14 Aug
train11–130.0714%14 Aug
mirage5–13-0.0218%13 Aug
train13–30.0620%12 Aug
dust28–13-0.0111%12 Aug
dust213–80.0821%11 Aug
dust22–13-0.0819%10 Aug
mirage13–30.056%9 Aug
dust213–80.0338%9 Aug
mirage11–130.0225%9 Aug
dust213–110.0219%9 Aug
mirage16–140.0321%8 Aug
dust22–13-0.0321%8 Aug
cache13–7-0.0413%6 Aug
mirage3–13-0.0220%6 Aug
ancient7–130.0134%6 Aug
dust213–30.1113%6 Aug
dust213–7-0.0127%5 Aug
ancient10–130.0213%4 Aug
cache12–12-0.0318%2 Aug
dust213–10.0912%2 Aug
train11–13-0.0226%2 Aug
dust213–80.1032%2 Aug
dust27–130.0230%2 Aug
mirage9–13-0.080%1 Aug
dust212–12-0.0110%1 Aug
anubis13–20.1015%1 Aug
ancient7–13-0.0426%1 Aug
dust20–5-0.0050%1 Aug
dust27–130.0517%1 Aug
cache13–110.0811%1 Aug
ancient13–110.0813%1 Aug
train13–70.0922%1 Aug
cache13–80.0723%31 Jul
train13–90.0220%31 Jul
dust212–120.0035%31 Jul
dust27–130.0932%30 Jul
dust212–120.0314%29 Jul
mirage13–2-0.077%28 Jul
inferno9–13-0.0135%28 Jul
inferno9–130.0418%26 Jul
dust212–12-0.0615%23 Jul
ancient4–13-0.0219%19 Jul
dust26–13-0.0322%19 Jul
cache5–13-0.0311%18 Jul
ancient10–130.0625%18 Jul
inferno13–80.0415%18 Jul

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 →