BusChaufføren

BusChaufføren — CS2 Stats

76561198002987016[U:1:42721288]Steam profile ↗✓ No bans

2,368Tracked matches57%Win rate2022Tracked since
CSDB Rating4.5 DevelopingPositional Player
Premier CS Rating11,151Blue band · top ~48.8% of ranked players (population est.)
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 12 Nov 2026 (2 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: 11,151 +57 11 Sept – 12 Nov · 29 days played
8,12312,349peak 12,34911 Sept12 Nov
12,513Peak Premier in tracked matches
28Days played since 2026-09-11

Premier CS Rating

  • 1,198 below peak (12,349)
  • +2,185 over 30 days · improving
  • Next: Purple band at 15,000 — 3,849 to go
  • Reached: Blue band · Light Blue band
  • Blue band first seen 2026-09-11
  • Light Blue band first seen 2026-09-11

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

Share this profile

CSDB.GGBusChaufførenPREMIER11,151 · Blue bandcsdb.gg/stats

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Performance scores

Aim37
Positioning50
Utility43

0–100 skill scores via Leetify.

Recent form

COLD47–48–5Last 10047%Win rateTWLLLWLLWL

Last 10 vs previous 10: −30pp win rate · −0.02 avg rating · −2.4pp headshot accuracy · +27ms 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

  • 1–3–1 · 20% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 14%
  • Avg reaction 723ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 11%
  • Avg reaction 695ms

Last 20

  • 9–9–2 · 45% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 681ms

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 against its own average).

Aim3.7
Utility4.3
Positioning5.0
Opening Duels2.7

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

jL

Plays most like jL 73% playstyle similarity

Most alike: utility contribution, positioning profile.

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

Areas to improve

CT openings. Opening success drops from 56% on T to 40% on CT — first contacts on the defending side are being lost.

Reaction time. 688ms 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

Aim3.7
Positioning5.0
Utility4.3
Mechanics5.5
Opening Duels4.5
Win Impact7.4

Composite 4.5/10 (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-0.02+0.00
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time686ms+18ms
first ⅓ avg 667ms → last ⅓ avg 686ms
Headshot accuracy13.5%−1.0%
first ⅓ avg 14.5% → last ⅓ avg 13.5%

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

0.08Best match rating · 13–0 · ancient, 15 Oct →
32%Best headshot accuracy · 7–13 · inferno, 22 Oct →
484msFastest reaction time · 13–9 · nuke, 26 Sept →
13–0Biggest win · ancient, 15 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–5In matches decided by ≤2 rounds
11Overtime games

Map breakdown

nukeBest map · 72% over 25dust2Weakest map · 33% over 15
MapGradePlayedRecordWin rateAvg rating
nukeS2518–772%-0.02
mirageC207–1335%-0.03
infernoB178–947%-0.02
ancientC156–940%-0.02
dust2D155–1033%-0.03
anubis—41–325%-0.00
cache—42–250%-0.01

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (33% over 15). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

4Matches
25%Win rate
0.83Avg K/D
—ADR
42%Headshot %

Clutches & streaks

—1v1 clutch win
—1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLLW

MapMatchesWin rateAvg K/DAvg kills
Mirage10%0.507.0
Inferno10%0.6712.0
Nuke10%1.0813.0
Vertigo1100%1.0617.0

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.

13.2%Headshot accuracy
34.5%Accuracy (enemy spotted)
35.2%Spray accuracy
75.0%Counter-strafing
13.4°Preaim
688msReaction time
55.7%T opening success
40.2%CT opening success
0.55Enemies flashed / flash
2.7%Flash assists
9.66HE damage / grenade
1.82Flashes / 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

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 13.3878° — above the 12° mark we flag

    Aim Training →
  2. 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 13.1945% — below the 15% mark we flag

    Aim Training →
  3. Grenades & Utility

    You are buying and holding utility rather than using it. Unthrown flashes are wasted money every round.

    Flashes per match 1.8199 — below the 4 mark we flag

    Grenade Lineups →
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.

33% win rate across 15 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
nuke15–150.0115%12 Nov →
nuke13–40.058%12 Nov →
ancient7–13-0.0710%12 Nov →
mirage11–13-0.0423%12 Nov →
mirage10–13-0.0513%12 Nov →
inferno13–11-0.0714%11 Nov →
dust210–13-0.048%11 Nov →
nuke3–13-0.0418%10 Nov →
anubis13–60.012%10 Nov →
mirage7–13-0.062%9 Nov →
nuke13–30.0518%9 Nov →
mirage13–110.0220%9 Nov →
cache11–130.0214%6 Nov →
nuke13–2-0.030%6 Nov →
dust25–13-0.0716%6 Nov →
ancient15–150.0312%5 Nov →
nuke13–90.0213%5 Nov →
nuke13–8-0.019%5 Nov →
mirage7–13-0.0513%2 Nov →
ancient13–6-0.0322%2 Nov →
ancient13–4-0.017%1 Nov →
mirage10–13-0.0715%31 Oct →
nuke13–11-0.086%31 Oct →
dust213–9-0.0717%31 Oct →
inferno13–30.0211%31 Oct →
mirage13–10-0.0110%31 Oct →
anubis8–13-0.0514%31 Oct →
mirage6–13-0.0626%31 Oct →
ancient13–3-0.0613%31 Oct →
mirage13–30.0126%31 Oct →
dust211–13-0.0413%31 Oct →
dust26–13-0.0219%31 Oct →
inferno13–60.0619%31 Oct →
inferno13–7-0.0311%31 Oct →
ancient4–13-0.0623%31 Oct →
inferno13–9-0.0119%31 Oct →
inferno10–13-0.0319%31 Oct →
dust215–150.0216%30 Oct →
nuke13–160.0111%29 Oct →
ancient8–13-0.048%29 Oct →
dust213–80.0115%29 Oct →
ancient5–13-0.079%27 Oct →
mirage8–13-0.0115%27 Oct →
nuke16–130.0214%26 Oct →
inferno13–11-0.0013%26 Oct →
ancient13–8-0.0210%26 Oct →
nuke5–9-0.1619%26 Oct →
inferno8–80.0226%26 Oct →
dust213–4-0.0627%25 Oct →
mirage13–10.0423%25 Oct →
dust213–30.0322%24 Oct →
mirage13–8-0.0116%24 Oct →
inferno7–13-0.0932%22 Oct →
cache13–10-0.0122%22 Oct →
nuke13–70.0013%22 Oct →
mirage13–30.0221%19 Oct →
dust29–13-0.0113%19 Oct →
nuke13–7-0.0121%19 Oct →
mirage6–13-0.0527%19 Oct →
mirage13–8-0.0130%15 Oct →
inferno9–13-0.0914%15 Oct →
ancient13–00.0822%15 Oct →
anubis8–130.0114%15 Oct →
dust27–13-0.0420%15 Oct →
mirage9–13-0.0314%15 Oct →
nuke16–13-0.0016%13 Oct →
inferno8–13-0.057%13 Oct →
nuke13–11-0.0212%13 Oct →
mirage5–13-0.0813%8 Oct →
nuke3–13-0.098%8 Oct →
inferno13–2-0.0120%8 Oct →
cache7–13-0.0814%8 Oct →
inferno8–13-0.0610%2 Oct →
mirage11–13-0.0510%2 Oct →
ancient7–13-0.0712%2 Oct →
dust27–13-0.0814%2 Oct →
nuke13–11-0.0013%2 Oct →
nuke13–5-0.072%1 Oct →
nuke13–7-0.0218%1 Oct →
dust210–13-0.0714%1 Oct →
mirage5–13-0.0011%29 Sept →
inferno9–130.0223%28 Sept →
ancient7–13-0.0314%28 Sept →
anubis10–130.0121%28 Sept →
dust215–15-0.0119%26 Sept →
inferno13–50.0226%26 Sept →
dust213–8-0.0720%26 Sept →
nuke13–90.0121%26 Sept →
nuke13–16-0.0313%24 Sept →
inferno2–13-0.0719%24 Sept →
ancient13–80.0211%24 Sept →
mirage5–13-0.064%24 Sept →
ancient14–160.0513%24 Sept →
nuke13–5-0.0115%24 Sept →
nuke16–120.0416%24 Sept →
cache16–130.0517%24 Sept →
nuke3–13-0.0512%23 Sept →
inferno5–130.0215%21 Sept →
ancient10–13-0.0313%21 Sept →
nuke13–9-0.0116%21 Sept →

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.