Long_Schlong_Johnson

Long_Schlong_Johnson — CS2 Stats

US76561198326918787[U:1:366653059]Steam profile ↗✓ No bans

824Tracked matches56%Win rate2020Tracked since
1,518Hours in CS25Hrs last 2 wks
CSDB Rating5.4 DevelopingPositional Player
Premier CS Rating12,443Blue band · top ~41.9% of ranked players (population est.)
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Oct 2026 (yesterday). Ranks are recorded once per day this page is viewed.

+2Premier CS Rating · 12,441 → 12,443

Rating over time

Premier CS Rating: 12,443 +670 28 Aug – 3 Oct · 25 days played
10,14113,396peak 13,39628 Aug3 Oct
13,396Peak Premier in tracked matches
29Days played since 2026-08-26

Premier CS Rating

  • 953 below peak (13,396)
  • +1,619 over 30 days · improving
  • Next: Purple band at 15,000 — 2,557 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches91——
Win rate52%——
K/D0.76——
Headshot %45%——

Measured 2 Sep 2026 → 3 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=21,222), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate40.8%42.0%44.3%3.6% short
Shot accuracy10.3%9.6%11.9%1.6% short
Kill/death ratio0.870.981.030.16 short
Match win rate40.2%43.8%45.2%5.0% short

This profile sits below the typical Purple band player on every metric we can compare.

Widest gap: Kill/death ratio. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGLong_Schlong_JohnsonPREMIER12,443 · Blue bandcsdb.gg/stats

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Performance scores

Aim83
Positioning38
Utility36

0–100 skill scores via Leetify.

Recent form

COLD53–41–6Last 10053%Win rateTWLLWWLLLL

Last 10 vs previous 10: −20pp win rate · −0.00 avg rating · +5.9pp headshot accuracy · −34ms reaction

Win rate down 20pp 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

  • 2–2–1 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 30%
  • Avg reaction 639ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 24%
  • Avg reaction 578ms

Last 20

  • 8–10–2 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 21%
  • Avg reaction 595ms

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 (+1.3 against its own average).

Aim8.3
Utility3.6
Positioning3.8
Opening Duels0.0

Strong CT-side openerLimited 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

b1t

Plays most like b1t 83% playstyle similarity

Most alike: aim profile, positioning 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

Areas to improve

Positioning. Positioning trails aim by 44 points — deaths here waste a strong aim profile.

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

Reaction time. 610ms 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

Aim8.3
Positioning3.8
Utility3.6
Mechanics7.0
Opening Duels1.4
Win Impact6.9

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 rating-0.01+0.02
first ⅓ avg -0.03 → last ⅓ avg -0.01
Reaction time630ms+29ms
first ⅓ avg 601ms → last ⅓ avg 630ms
Headshot accuracy23.7%+5.0%
first ⅓ avg 18.7% → last ⅓ avg 23.7%

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

0.09Best match rating · 13–6 · dust2, 23 Sept →
100%Best headshot accuracy · 5–9 · inferno, 18 Sept →
422msFastest reaction time · 9–13 · inferno, 1 Oct →
13–2Biggest win · cache, 29 Sept →

Across the last 100 tracked matches.

Highlights

13Longest win streak
7–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

cacheBest map · 71% over 17dust2Weakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageA2113–862%-0.02
cacheS1712–571%-0.03
nukeB158–753%-0.03
dust2C104–640%0.00
infernoB105–550%-0.03
officeC94–544%-0.03
ancientC94–544%-0.02
overpass—31–233%-0.08
anubis—30–30%0.03
vertigo—11–0100%-0.07
train—11–0100%-0.01
debris—10–10%-0.13

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

35,921Lifetime kills
0.87K/D
2,572Matches
40.2%Match win rate
40.8%Headshot %
10.3%Shot accuracy · Top 50% of Blue band
4,933MVPs
783Hours (in match)
1,845Bombs planted
397Bombs defused

Most-used weapons

AK-475,279
AWP4,915
MAC-101,555
Negev1,243
MP91,219
Nova1,122
XM10141,115

Lifetime map wins

3,173dust2
2,586office
2,518nuke
1,787inferno
631vertigo
370train
351lake
128italy

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

Skill profile

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

23.9%Headshot accuracy
37.4%Accuracy (enemy spotted)
39.9%Spray accuracy
81.4%Counter-strafing
8.8°Preaim
610msReaction time
27.8%T opening success
41.3%CT opening success
0.33Enemies flashed / flash
2.6%Flash assists
10.40HE damage / grenade
4.27Flashes / 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 0.3332 — below the 0.5 mark we flag

    Grenade Lineups →
  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 27.7958% — below the 40% mark we flag

Spend your practice time on Dust 2

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust215–15-0.0140%3 Oct →
mirage13–5-0.0923%3 Oct →
cache10–13-0.0242%3 Oct →
mirage7–13-0.0519%2 Oct →
cache13–3-0.0525%2 Oct →
mirage13–90.0625%2 Oct →
inferno4–9-0.1124%2 Oct →
dust28–130.0327%2 Oct →
inferno6–13-0.050%2 Oct →
inferno9–13-0.0214%1 Oct →
mirage13–11-0.0116%1 Oct →
cache11–13-0.0320%1 Oct →
inferno15–15-0.0027%1 Oct →
overpass3–13-0.0918%30 Sept →
dust23–13-0.070%30 Sept →
office9–13-0.0321%30 Sept →
nuke13–10-0.0624%30 Sept →
mirage16–13-0.0210%29 Sept →
cache13–2-0.0213%29 Sept →
office13–80.0430%28 Sept →
mirage12–12-0.0919%28 Sept →
ancient13–9-0.0722%28 Sept →
office13–30.0167%28 Sept →
nuke9–1-0.0615%28 Sept →
nuke13–20.0715%28 Sept →
anubis6–130.0627%27 Sept →
cache13–30.0033%27 Sept →
mirage13–9-0.0321%26 Sept →
anubis11–130.0832%26 Sept →
cache13–70.0952%25 Sept →
nuke10–13-0.0413%24 Sept →
dust213–60.0921%23 Sept →
mirage13–60.0528%23 Sept →
ancient7–13-0.0310%22 Sept →
inferno5–90.02100%18 Sept →
nuke13–9-0.0216%18 Sept →
dust213–10-0.0117%18 Sept →
office3–13-0.0317%17 Sept →
anubis8–13-0.0422%17 Sept →
mirage8–13-0.0024%17 Sept →
cache13–11-0.0718%17 Sept →
nuke9–2-0.030%17 Sept →
mirage13–9-0.0410%17 Sept →
overpass13–10-0.0513%17 Sept →
vertigo13–8-0.079%17 Sept →
cache13–7-0.0323%17 Sept →
nuke13–9-0.077%16 Sept →
ancient13–50.0036%16 Sept →
inferno13–11-0.060%16 Sept →
office13–3-0.01100%16 Sept →
mirage13–10-0.0018%15 Sept →
cache13–11-0.0718%15 Sept →
cache13–6-0.0412%14 Sept →
office9–13-0.0567%14 Sept →
office13–8-0.0538%14 Sept →
inferno13–9-0.0811%14 Sept →
cache9–13-0.0115%14 Sept →
train13–5-0.0113%14 Sept →
mirage13–40.0115%14 Sept →
nuke10–13-0.039%13 Sept →
inferno13–3-0.0125%13 Sept →
dust213–90.0219%11 Sept →
ancient16–130.0416%11 Sept →
nuke13–7-0.0611%11 Sept →
dust211–13-0.0216%8 Sept →
nuke14–160.0115%8 Sept →
nuke7–13-0.040%8 Sept →
dust28–13-0.0425%8 Sept →
nuke13–5-0.016%7 Sept →
debris2–9-0.1338%7 Sept →
office2–13-0.1014%7 Sept →
mirage13–50.0017%7 Sept →
dust213–110.0819%4 Sept →
nuke11–13-0.0310%4 Sept →
dust214–16-0.0526%3 Sept →
mirage7–13-0.0122%3 Sept →
office3–13-0.0927%2 Sept →
overpass6–13-0.1029%2 Sept →
cache11–13-0.0814%2 Sept →
ancient8–20.0514%2 Sept →
mirage8–13-0.0619%2 Sept →
nuke10–13-0.0311%2 Sept →
inferno13–7-0.018%1 Sept →
mirage0–13-0.0933%1 Sept →
ancient15–15-0.0710%1 Sept →
mirage13–60.0233%1 Sept →
nuke9–13-0.045%1 Sept →
cache16–14-0.0416%1 Sept →
mirage11–13-0.0112%31 Aug →
cache13–6-0.0716%31 Aug →
cache9–13-0.0218%31 Aug →
ancient15–15-0.0116%31 Aug →
inferno13–9-0.0122%30 Aug →
mirage15–15-0.0716%28 Aug →
ancient7–13-0.0311%28 Aug →
cache13–110.0024%28 Aug →
mirage13–3-0.0325%28 Aug →
ancient12–16-0.0211%28 Aug →
cache13–3-0.0227%28 Aug →
mirage13–2-0.0021%26 Aug →

Match data via Leetify.

Recent teammates

Milestones

500 Matches13-Win Streak
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.