jombo johnson

jombo johnson — CS2 Stats

US76561198082141570[U:1:121875842]Steam profile ↗✓ No bans

96Tracked matches59%Win rate2026Tracked since
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating11,646Blue band · top ~46.2% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 2026 (4 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

11,646Peak Premier in tracked matches
28Days played since 2026-09-07

Premier CS Rating

  • At peak — 11,646
  • Next: Purple band at 15,000 — 3,354 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.GGjombo johnsonPREMIER11,646 · 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

Aim50
Positioning71
Utility36

0–100 skill scores via Leetify.

Recent form

STEADY47–42–7Last 9649%Win rateLWWWLLWWWL

Last 10 vs previous 10: +20pp win rate · −0.02 avg rating · +1.4pp headshot accuracy · +56ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.02), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 12%
  • Avg reaction 591ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 12%
  • Avg reaction 623ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 11%
  • Avg reaction 595ms

Newest first, from the last 96 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 (+2.2 against its own average).

Aim5.0
Utility3.6
Positioning7.1
Opening Duels4.1

Limited utility dependence

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

m0NESY

Plays most like m0NESY 68% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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. 603ms 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

Aim5.0
Positioning7.1
Utility3.6
Mechanics5.8
Opening Duels5.7
Win Impact7.9

Composite 5.4/10 (Developing), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time608ms−15ms
first ⅓ avg 623ms → last ⅓ avg 608ms
Headshot accuracy11.7%−0.6%
first ⅓ avg 12.3% → last ⅓ avg 11.7%

Rolling 5-match average across the last 96 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.14Best match rating · 13–9 · dust2, 18 Oct →
28%Best headshot accuracy · 9–13 · ancient, 3 Oct →
469msFastest reaction time · 10–13 · ancient, 26 Sept →
13–2Biggest win · mirage, 18 Oct →

Across the last 96 tracked matches.

Highlights

6Longest win streak
7–4In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 75% over 12ancientWeakest map · 33% over 9
MapGradePlayedRecordWin rateAvg rating
mirageB2311–1248%-0.01
dust2C177–1041%-0.00
nukeB168–850%-0.01
infernoS129–375%0.01
cacheC114–736%-0.02
ancientD93–633%0.01
trainA53–260%-0.00
office—22–0100%0.06
vertigo—10–10%0.03

Across the last 96 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (33% over 9). Start with the 6 essential Ancient 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.

11.6%Headshot accuracy
34.5%Accuracy (enemy spotted)
35.9%Spray accuracy
76.0%Counter-strafing
11.5°Preaim
603msReaction time
58.1%T opening success
47.3%CT opening success
0.60Enemies flashed / flash
4.8%Flash assists
5.43HE damage / grenade
4.40Flashes / 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 11.5971% — below the 15% mark we flag

    Aim Training →
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.

33% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient8–130.0211%30 Oct →
dust213–50.0310%30 Oct →
inferno13–60.048%28 Oct →
nuke10–10.0116%27 Oct →
ancient5–13-0.0617%27 Oct →
mirage10–13-0.0315%27 Oct →
dust213–70.0216%26 Oct →
cache13–3-0.0010%26 Oct →
mirage13–70.0212%26 Oct →
cache11–13-0.087%24 Oct →
inferno13–4-0.026%24 Oct →
nuke5–13-0.059%24 Oct →
mirage12–120.0710%21 Oct →
inferno13–100.0812%21 Oct →
ancient10–130.036%21 Oct →
mirage7–13-0.0613%20 Oct →
dust25–130.0217%20 Oct →
inferno1–130.008%20 Oct →
nuke13–70.0414%20 Oct →
ancient13–90.0613%19 Oct →
inferno13–80.0314%19 Oct →
dust26–13-0.018%19 Oct →
train13–6-0.0410%18 Oct →
dust213–90.1415%18 Oct →
mirage13–60.047%18 Oct →
mirage13–20.1016%18 Oct →
cache13–8-0.0112%18 Oct →
mirage16–130.0214%17 Oct →
mirage4–13-0.1011%17 Oct →
cache6–130.0113%17 Oct →
mirage11–13-0.0518%17 Oct →
nuke13–10-0.078%17 Oct →
inferno1–13-0.0611%17 Oct →
mirage13–11-0.0118%17 Oct →
inferno13–11-0.0112%16 Oct →
ancient13–70.0618%16 Oct →
nuke6–130.009%14 Oct →
cache3–13-0.059%14 Oct →
nuke13–110.0315%14 Oct →
train12–120.018%12 Oct →
mirage6–130.029%12 Oct →
office13–60.1012%10 Oct →
mirage13–10-0.0114%10 Oct →
mirage13–100.039%9 Oct →
nuke13–90.019%9 Oct →
train3–13-0.0019%9 Oct →
dust25–13-0.0613%9 Oct →
dust213–7-0.0118%9 Oct →
mirage10–4-0.025%8 Oct →
train13–5-0.0017%8 Oct →
dust24–130.1326%8 Oct →
nuke12–120.0315%8 Oct →
nuke12–120.0213%5 Oct →
mirage5–13-0.0917%5 Oct →
nuke13–11-0.0120%5 Oct →
ancient12–120.027%5 Oct →
mirage5–13-0.0515%5 Oct →
mirage13–8-0.0017%3 Oct →
inferno13–5-0.0110%3 Oct →
dust23–13-0.1011%3 Oct →
nuke12–12-0.038%3 Oct →
ancient13–70.0112%3 Oct →
cache5–13-0.0810%3 Oct →
nuke13–11-0.047%3 Oct →
dust210–13-0.0113%3 Oct →
ancient9–13-0.0428%3 Oct →
cache11–130.0012%3 Oct →
inferno13–11-0.063%2 Oct →
cache2–13-0.050%2 Oct →
mirage9–13-0.0111%2 Oct →
cache13–70.0518%2 Oct →
nuke8–13-0.0110%1 Oct →
mirage12–120.0315%1 Oct →
train13–50.0120%1 Oct →
dust28–13-0.119%1 Oct →
ancient10–13-0.0422%26 Sept →
vertigo8–130.0317%26 Sept →
cache13–40.059%26 Sept →
dust213–4-0.0314%26 Sept →
inferno2–130.0624%25 Sept →
mirage13–9-0.0310%25 Sept →
inferno13–6-0.0112%19 Sept →
nuke13–110.0417%19 Sept →
mirage8–13-0.019%19 Sept →
dust21–12-0.080%19 Sept →
nuke6–13-0.066%19 Sept →
mirage4–13-0.0313%19 Sept →
dust211–13-0.055%18 Sept →
mirage13–8-0.0011%17 Sept →
inferno13–70.0313%15 Sept →
nuke10–13-0.0310%15 Sept →
dust213–7-0.0312%15 Sept →
cache2–13-0.0812%15 Sept →
dust213–30.1310%13 Sept →
office13–60.0213%7 Sept →
dust22–120.0215%7 Sept →

Match data via Leetify.

Recent teammates

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.