Johnny Bravo

Johnny Bravo — CS2 Stats

76561199882034194[U:1:1921768466]Steam profile ↗✓ No bans

295Tracked matches66%Win rate2025Tracked since
CSDB Rating6.6 SolidPositional Player
Premier CS Rating12,340Blue band · top ~42.5% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 14 Oct 2026 (3 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 12,340 +1,469 4 Mar – 14 Oct · 30 days played
8,65812,362peak 12,3624 Mar14 Oct
12,694Peak Premier in tracked matches
39Days played since 2026-03-04

Premier CS Rating

  • 22 below peak (12,362)
  • Next: Purple band at 15,000 — 2,660 to go
  • Reached: Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGJohnny BravoPREMIER12,340 · Blue bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim78
Positioning75
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY55–40–5Last 10055%Win rateLWWWLWWLLL

Last 10 vs previous 10: −30pp win rate · −0.04 avg rating · −4.8pp headshot accuracy · +4ms reaction

Win rate down 30pp 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

  • 3–2 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 20%
  • Avg reaction 572ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 555ms

Last 20

  • 13–6–1 · 65% win rate
  • Avg rating 0.06
  • Avg headshot accuracy 25%
  • Avg reaction 553ms

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 (+2 against its own average).

Aim7.8
Utility4.0
Positioning7.5
Opening Duels5.0

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

s1mple

Plays most like s1mple 86% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower utility contribution; 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 →

Strengths & areas to improve

Strengths

T openings. 61% T opening-duel success — entries that actually open the round.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

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

Aim7.8
Positioning7.5
Utility4.0
Mechanics5.9
Opening Duels6.1
Win Impact10.0

Composite 6.6/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.05+0.03
first ⅓ avg 0.02 → last ⅓ avg 0.05
Reaction time519ms−59ms
first ⅓ avg 578ms → last ⅓ avg 519ms
Headshot accuracy23.1%+1.3%
first ⅓ avg 21.9% → last ⅓ avg 23.1%

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

0.18Best match rating · 9–0 · inferno, 2 Sept →
47%Best headshot accuracy · 13–1 · inferno, 25 Aug →
297msFastest reaction time · 9–0 · inferno, 2 Sept →
13–1Biggest win · nuke, 14 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
9–9In matches decided by ≤2 rounds
13Overtime games

Map breakdown

overpassBest map · 100% over 5mirageWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
infernoA2715–1256%0.03
dust2S1510–567%0.04
nukeB136–746%0.03
ancientC114–736%0.02
cacheA106–460%0.06
anubisA106–460%0.05
mirageD93–633%0.02
overpassS55–0100%0.02

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Skill profile

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

23.0%Headshot accuracy
35.1%Accuracy (enemy spotted)
37.8%Spray accuracy
76.7%Counter-strafing
10.3°Preaim
526msReaction time
60.6%T opening success
48.3%CT opening success
0.44Enemies flashed / flash
2.9%Flash assists
9.28HE damage / grenade
5.77Flashes / 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 0.4365 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno11–130.0218%14 Oct →
mirage13–8-0.0017%14 Oct →
nuke13–10.1526%14 Oct →
inferno13–60.0028%13 Oct →
cache6–130.0013%13 Oct →
dust216–14-0.0233%11 Oct →
inferno13–10.1518%11 Oct →
mirage8–130.0319%11 Oct →
inferno11–13-0.0126%11 Oct →
nuke9–130.0527%11 Oct →
inferno13–40.0530%10 Oct →
cache13–10.1846%10 Oct →
inferno15–150.0318%10 Oct →
cache13–110.1432%10 Oct →
anubis13–20.0523%10 Oct →
cache16–120.0226%10 Oct →
anubis13–30.0930%10 Oct →
mirage13–40.1229%10 Oct →
cache4–130.0627%9 Oct →
cache13–60.0113%9 Oct →
inferno11–130.0522%9 Oct →
dust210–130.0516%9 Oct →
anubis13–20.0920%9 Oct →
inferno13–70.0211%8 Oct →
ancient13–100.0921%8 Oct →
anubis16–130.0918%8 Oct →
cache4–13-0.0721%8 Oct →
nuke13–90.0219%8 Oct →
inferno13–50.0424%8 Oct →
nuke7–130.0825%16 Sept →
dust214–160.0026%4 Sept →
inferno13–7-0.0017%4 Sept →
cache11–130.0422%2 Sept →
anubis8–130.016%2 Sept →
inferno9–00.1827%2 Sept →
inferno15–150.0112%26 Aug →
inferno13–10.0347%25 Aug →
ancient2–130.019%25 Aug →
nuke6–13-0.0324%24 Aug →
ancient13–5-0.0429%24 Aug →
dust211–130.0215%24 Aug →
ancient13–10.0212%24 Aug →
inferno15–150.0119%23 Aug →
dust213–40.1110%23 Aug →
dust213–11-0.0015%23 Aug →
inferno14–16-0.0113%22 Aug →
dust213–100.0320%22 Aug →
anubis13–110.0414%20 Aug →
dust213–20.0623%20 Aug →
anubis13–10.0338%20 Aug →
inferno13–80.025%19 Aug →
cache16–120.0842%18 Aug →
inferno10–130.0324%18 Aug →
dust213–10.0431%18 Aug →
inferno10–60.0415%17 Aug →
cache13–10.1441%17 Aug →
inferno6–13-0.0521%16 Aug →
anubis9–130.0612%15 Aug →
inferno8–130.0815%15 Aug →
ancient11–13-0.0117%14 Aug →
mirage8–130.0326%14 Aug →
ancient13–30.0929%25 Apr →
inferno13–80.0718%25 Apr →
inferno13–8-0.0321%25 Apr →
nuke8–130.0215%24 Apr →
nuke9–130.0133%24 Apr →
ancient11–130.069%24 Apr →
ancient15–150.0213%11 Apr →
ancient3–13-0.0120%11 Apr →
overpass13–110.0214%9 Apr →
nuke16–140.0216%9 Apr →
dust213–50.0516%9 Apr →
inferno13–110.0218%6 Apr →
anubis8–130.0118%4 Apr →
mirage8–130.0026%4 Apr →
ancient9–130.0427%4 Apr →
dust24–13-0.0625%4 Apr →
mirage13–90.0721%4 Apr →
dust213–60.0333%3 Apr →
overpass13–80.0228%29 Mar →
anubis13–160.0112%29 Mar →
nuke13–60.0618%28 Mar →
ancient2–13-0.0217%27 Mar →
inferno10–130.0626%25 Mar →
nuke13–110.0811%25 Mar →
inferno13–70.0629%20 Mar →
inferno13–4-0.0121%20 Mar →
mirage1–13-0.0644%19 Mar →
dust210–130.0524%19 Mar →
nuke13–60.0118%19 Mar →
dust213–80.0735%19 Mar →
dust213–50.1427%19 Mar →
overpass13–9-0.0318%18 Mar →
nuke8–13-0.0230%18 Mar →
mirage1–9-0.0126%12 Mar →
overpass13–70.0728%10 Mar →
mirage1–13-0.018%10 Mar →
overpass13–110.0126%9 Mar →
nuke5–13-0.0520%9 Mar →
inferno15–15-0.067%4 Mar →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.