bigblackjohn

bigblackjohn — CS2 Stats

ID76561199884740474[U:1:1924474746]Steam profile ↗✓ No bans

693Tracked matches48%Win rate2025Tracked since
527Hours in CS10Hrs last 2 wks
CSDB Rating5.8 SolidPositional Player
Premier CS Rating11,811Blue band · top ~45.3% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 18 Sep 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.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 26 days played since 7 Jul 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 11,811 -3,188 17 Jul18 Sept · 20 days played
11,59817,446peak 17,44617 Jul18 Sept
17,446Peak Premier in tracked matches
26Days played since 2026-07-07

Premier CS Rating

  • 5,635 below peak (17,446)
  • -2,968 over 30 days · declining
  • Next: Purple band at 15,000 3,189 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-08-29
  • Light Blue band first seen 2026-08-29

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 Blue band among CSDB-tracked players (n=19,962), 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 rate55.3%41.9%44.3%above
Shot accuracy0.0%9.6%11.8%11.8% short
Kill/death ratio0.800.981.030.23 short
Match win rate45.6%43.8%45.2%meets

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

Widest gap: Shot accuracy. 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.GGbigblackjohnPREMIER11,811 · Blue bandcsdb.gg/stats

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Performance scores

Aim75
Positioning64
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY45514Last 10045%Win rateWLWLLLWLLW

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · +11.3pp headshot accuracy · −6ms reaction

Win rate 0pp 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

  • 23 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 35%
  • Avg reaction 609ms

Last 10

  • 46 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 34%
  • Avg reaction 643ms

Last 20

  • 8111 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 28%
  • Avg reaction 646ms

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 PlayerPositioning stands above the rest of this profile (+1.5 against its own average).

Aim7.5
Utility4.9
Positioning6.4
Opening Duels4.5
Clutch3.6

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

iM

Plays most like iM 90% playstyle similarity

Most alike: opening-duel success, positioning 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. 657ms 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

Aim7.5
Positioning6.4
Utility4.9
Mechanics7.3
Opening Duels3.0
Win Impact4.4

Composite 5.8/10 (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 rating0.01+0.00
first ⅓ avg 0.01 → last ⅓ avg 0.01
Reaction time651ms+3ms
first ⅓ avg 648ms → last ⅓ avg 651ms
Headshot accuracy28.0%+4.2%
first ⅓ avg 23.9% → last ⅓ avg 28.0%

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 · 13–4 · ancient, 29 Aug
89%Best headshot accuracy · 5–13 · dust2, 26 Aug
438msFastest reaction time · 13–4 · mirage, 19 Jul
13–1Biggest win · dust2, 5 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
711In matches decided by ≤2 rounds
12Overtime games

Map breakdown

ancientBest map · 58% over 12infernoWeakest map · 17% over 12
MapGradePlayedRecordWin rateAvg rating
dust2B31141745%-0.00
mirageB23121152%0.01
nukeC125742%-0.00
ancientA127558%0.03
infernoD1221017%-0.00
cacheB63350%0.01
anubis42250%0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (17% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

9,539Lifetime kills
0.80K/D
700Matches
45.6%Match win rate · Top 50% of Blue band
55.3%Headshot % · Top 10% of Blue band
0.0%Shot accuracy
1,355MVPs
259Hours (in match)
936Bombs planted
183Bombs defused

Most-used weapons

Lifetime map wins

1,610dust2
1,049inferno
950nuke
5vertigo
1office
1ar_shoots

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

Faceit stats

Combat

11Matches
45%Win rate
0.86Avg K/D
68.7ADR
65%Headshot %

Clutches & streaks

38%1v1 clutch win
20%1v2 clutch win
2Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Dust2425%0.7814.8
Mirage250%0.377.0
Nuke20%1.0424.0
Ancient2100%1.2015.0
Anubis1100%1.1023.0

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.

28.6%Headshot accuracy
30.7%Accuracy (enemy spotted)
32.7%Spray accuracy
82.9%Counter-strafing
7.8°Preaim
657msReaction time
39.4%T opening success
44.8%CT opening success
0.64Enemies flashed / flash
8.3%Flash assists
10.89HE damage / grenade
4.44Flashes / 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 39.3811% — below the 40% mark we flag

Spend your practice time on Inferno

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

17% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–100.0541%18 Sept
nuke10–13-0.0318%18 Sept
mirage16–120.0435%18 Sept
ancient11–130.0353%9 Sept
inferno2–13-0.0530%7 Sept
dust21–13-0.1013%7 Sept
dust213–50.0229%7 Sept
ancient8–13-0.0340%5 Sept
nuke11–13-0.0350%5 Sept
dust213–50.0131%5 Sept
dust213–110.0119%5 Sept
dust213–10.1721%5 Sept
nuke15–15-0.0426%5 Sept
inferno11–130.0429%4 Sept
inferno3–130.0535%4 Sept
ancient8–13-0.0026%4 Sept
nuke13–110.0322%1 Sept
dust210–13-0.067%1 Sept
dust29–130.0223%1 Sept
dust213–10.0421%1 Sept
mirage13–70.0736%1 Sept
dust210–130.0433%31 Aug
dust213–80.0332%31 Aug
cache13–11-0.0818%31 Aug
anubis9–130.0936%31 Aug
inferno13–9-0.0423%31 Aug
ancient11–13-0.0224%30 Aug
mirage13–8-0.0119%30 Aug
dust211–13-0.0433%30 Aug
ancient13–70.0326%30 Aug
mirage13–5-0.0313%29 Aug
ancient13–40.1841%29 Aug
inferno9–13-0.0423%29 Aug
anubis8–130.0034%28 Aug
dust28–130.0621%28 Aug
mirage13–100.0236%28 Aug
dust213–40.0122%28 Aug
dust213–8-0.0625%28 Aug
ancient6–13-0.0132%28 Aug
inferno10–130.0033%28 Aug
mirage3–13-0.0517%28 Aug
mirage8–13-0.0324%28 Aug
dust26–13-0.0642%28 Aug
inferno11–13-0.0119%26 Aug
mirage10–13-0.0124%26 Aug
dust25–2-0.0323%26 Aug
mirage13–16-0.0548%26 Aug
nuke13–11-0.0124%26 Aug
dust26–13-0.0427%26 Aug
dust215–150.0538%26 Aug
dust25–13-0.0689%26 Aug
mirage0–13-0.0950%26 Aug
mirage10–13-0.0318%26 Aug
mirage13–90.0727%25 Jul
inferno16–13-0.0424%24 Jul
nuke4–13-0.0217%24 Jul
mirage15–15-0.0225%22 Jul
dust213–80.0522%20 Jul
nuke13–50.1237%20 Jul
ancient13–50.0827%20 Jul
ancient13–11-0.0324%19 Jul
cache11–130.0644%19 Jul
anubis13–90.0531%19 Jul
mirage13–40.1424%19 Jul
cache10–13-0.0128%19 Jul
mirage6–13-0.0426%18 Jul
nuke13–20.0243%17 Jul
dust211–130.0433%17 Jul
cache10–130.0633%17 Jul
inferno4–13-0.0319%17 Jul
anubis13–80.0315%17 Jul
ancient13–30.0422%17 Jul
dust213–10-0.0125%17 Jul
nuke13–70.0127%17 Jul
dust24–13-0.0422%17 Jul
ancient13–8-0.0333%17 Jul
nuke9–130.0126%17 Jul
mirage13–5-0.0631%17 Jul
dust25–13-0.0820%16 Jul
cache13–60.049%16 Jul
mirage13–50.0920%16 Jul
mirage9–130.0519%16 Jul
mirage10–130.0117%16 Jul
dust216–130.0629%15 Jul
inferno11–130.0319%15 Jul
cache16–140.0029%14 Jul
nuke9–130.0322%14 Jul
ancient13–100.1023%13 Jul
dust213–3-0.0024%11 Jul
dust213–16-0.0514%11 Jul
inferno11–130.0449%11 Jul
inferno15–150.0129%10 Jul
dust25–13-0.0415%10 Jul
dust211–13-0.0437%10 Jul
mirage16–130.0524%9 Jul
mirage9–130.0630%9 Jul
dust210–130.0116%9 Jul
mirage13–60.1132%9 Jul
mirage16–14-0.0615%7 Jul
nuke2–9-0.1311%7 Jul

Match data via Leetify.

Recent teammates

Milestones

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