LongJohnson

LongJohnson — CS2 Stats

76561198101258137[U:1:140992409]Steam profile ↗✓ No bans

5,600Tracked matches55%Win rate2020Tracked since
5,399Hours in CS89Hrs last 2 wks
CSDB Rating6.0 SolidPositional Player
Premier CS Rating18,501Purple band · top ~14.5% of ranked players (population est.)
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). 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: 18,501 +541 28 Aug – 4 Nov · 17 days played
17,31519,749peak 19,74928 Aug4 Nov
19,749Peak Premier in tracked matches
12Days played since 2026-08-28

Premier CS Rating

  • 1,248 below peak (19,749)
  • Next: Pink band at 20,000 — 1,499 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-08-28
  • Blue band first seen 2026-08-28

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

How this compares with the same rank

Median values for Level 3 among CSDB-tracked players (n=10,505), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 3 medianLevel 4 medianvs Level 4
Headshot rate41.0%41.8%42.7%1.8% short
Shot accuracy4.0%12.2%11.2%7.2% short
Kill/death ratio0.870.980.990.13 short
Match win rate46.5%43.3%43.9%above

This profile matches the typical Level 4 player on 1 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLongJohnsonFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER18,501 · Purple 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

Aim52
Positioning75
Utility45

0–100 skill scores via Leetify.

Recent form

HOT54–42–4Last 10054%Win rateWLLWWWWWWL

Last 10 vs previous 10: +10pp win rate · −0.02 avg rating · +0.0pp headshot accuracy · −6ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 9%
  • Avg reaction 550ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 11%
  • Avg reaction 542ms

Last 20

  • 13–7 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 11%
  • Avg reaction 545ms

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 (+2.5 against its own average).

Aim5.2
Utility4.5
Positioning7.5
Opening Duels6.5
Clutch1.4

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 72% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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

Strengths

T openings. 67% T opening-duel success — entries that actually open the round.

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

Aim5.2
Positioning7.5
Utility4.5
Mechanics5.3
Opening Duels7.7
Win Impact6.7

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.00 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 time555ms+37ms
first ⅓ avg 519ms → last ⅓ avg 555ms
Headshot accuracy11.7%+2.3%
first ⅓ avg 9.4% → last ⅓ avg 11.7%

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

0.20Best match rating · 13–2 · anubis, 4 Nov →
22%Best headshot accuracy · 13–9 · office, 4 Nov →
398msFastest reaction time · 13–7 · dust2, 29 Oct →
13–1Biggest win · office, 30 Oct →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–7In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 70% over 10mirageWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
dust2A3117–1455%0.00
nukeA159–660%0.04
infernoC125–742%0.03
anubisA117–464%0.02
ancientS107–370%0.04
cacheC104–640%0.01
mirageD62–433%-0.00
office—32–167%0.00
debris—11–0100%0.11
vertigo—10–10%0.05

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (33% over 6). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

121,363Lifetime kills
0.87K/D
7,977Matches
46.5%Match win rate · Top 25% of Level 3 players
41.0%Headshot %
4.0%Shot accuracy
16,279MVPs
2,914Hours (in match)
9,633Bombs planted
1,854Bombs defused

Most-used weapons

AK-4742,098
MP74,474
MAC-103,334
AWP3,260
P902,926

Lifetime map wins

25,011dust2
8,101inferno
7,126nuke
3,347vertigo
1,615train
681office
248italy
107cbble

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

Faceit stats

Combat

199Matches
47%Win rate
0.80Avg K/D
72.0ADR
41%Headshot %

Clutches & streaks

27%1v1 clutch win
14%1v2 clutch win
7Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage4846%0.8512.3
Dust24154%0.8613.3
Anubis3145%0.6412.2
Ancient2843%0.7912.9
Nuke1942%0.8215.4
Vertigo1759%0.9513.2
Inferno560%1.1519.4

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.

11.8%Headshot accuracy
32.7%Accuracy (enemy spotted)
37.0%Spray accuracy
73.7%Counter-strafing
11.4°Preaim
550msReaction time
66.7%T opening success
54.6%CT opening success
0.50Enemies flashed / flash
7.7%Flash assists
5.81HE damage / grenade
5.23Flashes / 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 11.7902% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4976 — 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 6 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–60.0513%4 Nov →
nuke8–13-0.0510%4 Nov →
anubis8–13-0.039%4 Nov →
nuke9–60.124%4 Nov →
debris9–50.118%4 Nov →
office13–9-0.0322%4 Nov →
dust213–80.0714%4 Nov →
dust213–7-0.0111%4 Nov →
dust213–110.0216%4 Nov →
inferno11–130.016%4 Nov →
dust213–4-0.0116%4 Nov →
anubis13–20.2010%4 Nov →
mirage9–13-0.0112%3 Nov →
nuke9–130.028%3 Nov →
nuke10–130.066%3 Nov →
nuke13–100.0110%3 Nov →
dust213–80.0410%3 Nov →
cache11–130.108%3 Nov →
dust213–7-0.0215%3 Nov →
inferno13–100.0218%2 Nov →
nuke13–100.0310%2 Nov →
inferno9–130.0310%2 Nov →
anubis13–100.038%2 Nov →
ancient12–120.0511%1 Nov →
vertigo2–130.0515%1 Nov →
dust24–130.0313%1 Nov →
office5–130.0119%1 Nov →
ancient13–80.0410%1 Nov →
dust213–50.0114%1 Nov →
dust213–30.0910%1 Nov →
ancient5–130.0418%1 Nov →
mirage8–13-0.044%1 Nov →
anubis8–13-0.0617%1 Nov →
dust213–70.0512%1 Nov →
dust213–11-0.037%1 Nov →
dust213–70.007%1 Nov →
dust27–13-0.044%1 Nov →
cache13–30.0117%31 Oct →
dust213–8-0.023%31 Oct →
ancient13–30.043%31 Oct →
nuke13–80.0312%31 Oct →
dust28–13-0.035%31 Oct →
office13–10.0210%30 Oct →
inferno9–40.034%30 Oct →
cache13–40.077%30 Oct →
inferno13–110.009%29 Oct →
mirage11–13-0.0211%29 Oct →
inferno8–80.059%29 Oct →
dust213–20.0318%29 Oct →
inferno8–13-0.017%29 Oct →
dust25–13-0.0716%29 Oct →
dust213–70.0810%29 Oct →
mirage13–90.0210%29 Oct →
dust25–130.0110%28 Oct →
nuke9–130.038%28 Oct →
anubis11–13-0.0313%28 Oct →
nuke13–100.0314%28 Oct →
ancient13–100.0416%28 Oct →
dust213–50.0111%28 Oct →
cache10–130.018%28 Oct →
dust25–13-0.038%28 Oct →
nuke13–40.1410%28 Oct →
dust25–13-0.064%28 Oct →
cache9–13-0.008%28 Oct →
inferno13–10-0.0314%27 Oct →
dust211–13-0.029%27 Oct →
cache13–9-0.026%27 Oct →
mirage9–13-0.0116%27 Oct →
cache8–13-0.0516%27 Oct →
nuke13–10-0.007%27 Oct →
nuke13–20.0315%27 Oct →
cache13–5-0.042%26 Oct →
inferno8–130.019%26 Oct →
anubis11–130.019%26 Oct →
dust26–13-0.035%26 Oct →
inferno13–90.057%26 Oct →
dust213–16-0.025%26 Oct →
anubis16–120.0310%26 Oct →
anubis13–20.1212%25 Oct →
dust28–130.0214%25 Oct →
cache15–15-0.0611%25 Oct →
ancient13–100.037%25 Oct →
dust28–130.0312%25 Oct →
inferno7–130.074%25 Oct →
nuke13–10.175%25 Oct →
mirage13–60.0412%25 Oct →
ancient13–110.089%25 Oct →
anubis13–30.006%25 Oct →
dust213–50.079%25 Oct →
nuke9–130.038%25 Oct →
ancient13–11-0.025%25 Oct →
nuke10–13-0.048%25 Oct →
inferno11–130.077%24 Oct →
cache8–130.059%24 Oct →
ancient8–130.018%24 Oct →
anubis16–120.0116%24 Oct →
dust212–12-0.0313%24 Oct →
dust27–13-0.0313%24 Oct →
anubis13–4-0.038%24 Oct →
dust213–7-0.0111%24 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 →

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