BMW 535 F10

BMW 535 F10 — CS2 Stats

FI76561198162468950[U:1:202203222]Steam profile ↗✓ No bans

1,226Tracked matches59%Win rate2020Tracked since
2,941Hours in CS2Hrs last 2 wks
CSDB Rating4.8 DevelopingAll-Rounder
Premier CS Rating17,057Purple band · top ~20.2% of ranked players (population est.)
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanMaster Guardian I
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (10 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.

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. 42 days played since 9 Apr 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: 17,057 +4,713 23 May – 15 Sept · 6 days played
11,45417,057peak 17,05723 May15 Sept
17,057Peak Premier in tracked matches
42Days played since 2026-04-09

Premier CS Rating

  • At peak — 17,057
  • +4,751 over 90 days
  • Next: Pink band at 20,000 — 2,943 to go
  • Reached: Purple band · Blue band · Light Blue band

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 1 among CSDB-tracked players (n=2,203), 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 1 medianLevel 2 medianvs Level 2
Headshot rate33.1%41.0%41.3%8.2% short
Shot accuracy16.3%14.2%12.7%above
Kill/death ratio1.040.950.95above
Match win rate43.6%42.1%42.6%above

This profile matches the typical Level 2 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 2 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBMW 535 F10FACEITLevel 1STANDINGTop 100.0% of rankedPREMIER17,057 · 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

Aim54
Positioning35
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY50–45–5Last 10050%Win rateLLWWLWWWWL

Last 10 vs previous 10: 0pp win rate · −0.02 avg rating · −2.9pp headshot accuracy · −67ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 602ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 14%
  • Avg reaction 591ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 15%
  • Avg reaction 625ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim5.4
Utility3.9
Positioning3.5
Opening Duels1.6
Clutch3.6

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

NiKo

Plays most like NiKo 92% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower positioning profile; 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

T-side openings. Opening success drops from 51% on CT to 19% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 627ms 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

Aim5.4
Positioning3.5
Utility3.9
Mechanics5.8
Opening Duels2.7
Win Impact7.9

Composite 4.8/10 (Developing), 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 rating-0.01−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time633ms−29ms
first ⅓ avg 662ms → last ⅓ avg 633ms
Headshot accuracy16.4%+0.7%
first ⅓ avg 15.8% → last ⅓ avg 16.4%

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

0.14Best match rating · 13–11 · inferno, 10 Jun →
47%Best headshot accuracy · 13–9 · vertigo, 10 Jun →
391msFastest reaction time · 0–4 · cache, 11 Jul →
13–1Biggest win · train, 19 Apr →

Across the last 100 tracked matches.

Highlights

4Longest win streak
L2Current streak
12–2In matches decided by ≤2 rounds
6Overtime games

Map breakdown

vertigoBest map · 88% over 8anubisWeakest map · 18% over 11
MapGradePlayedRecordWin rateAvg rating
mirageA2313–1057%-0.02
cacheA138–562%-0.01
infernoS128–467%0.00
anubisD112–918%-0.03
vertigoS87–188%-0.01
dust2D72–529%0.00
ancientC73–443%-0.03
officeD62–433%-0.02
nukeC52–340%-0.04
trainC52–340%-0.00
shelter—10–10%-0.02
fachwerk—10–10%0.00
overpass—11–0100%0.02

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (18% over 11). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

80,935Lifetime kills
1.04K/D · Top 50% of Level 1 players
4,607Matches
43.6%Match win rate · Top 50% of Level 1 players
33.1%Headshot %
16.3%Shot accuracy · Top 50% of Level 1 players
8,831MVPs
1,843Hours (in match)
5,400Bombs planted
829Bombs defused

Most-used weapons

AK-4715,546
AWP13,489
AUG4,035
SG 5532,825
SSG 082,472

Lifetime map wins

7,300inferno
7,282dust2
1,851nuke
1,616vertigo
864train
623office
190cbble
59lake

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

Faceit stats

Combat

48Matches
42%Win rate
0.99Avg K/D
87.6ADR
33%Headshot %

Clutches & streaks

38%1v1 clutch win
0%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Inferno3100%1.4919.0
Mirage2100%1.1915.0
Anubis1100%1.8524.0
Dust210%1.2123.0

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.

16.2%Headshot accuracy
32.0%Accuracy (enemy spotted)
32.9%Spray accuracy
76.2%Counter-strafing
9.6°Preaim
627msReaction time
19.0%T opening success
51.2%CT opening success
0.42Enemies flashed / flash
3.5%Flash assists
11.26HE damage / grenade
4.51Flashes / 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 0.4231 — 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 19.0305% — below the 40% mark we flag

Spend your practice time on Anubis

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

18% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis10–130.038%16 Sept →
anubis9–13-0.0620%16 Sept →
dust213–10-0.009%15 Sept →
inferno13–7-0.068%9 Sept →
dust22–13-0.076%9 Sept →
nuke13–8-0.0712%9 Sept →
ancient13–11-0.0819%9 Sept →
inferno13–110.0112%5 Sept →
mirage13–110.0112%5 Sept →
dust23–130.0229%5 Sept →
nuke3–13-0.0614%5 Sept →
mirage10–130.0026%5 Sept →
cache13–7-0.0614%1 Sept →
cache12–40.0617%1 Sept →
ancient15–15-0.088%30 Aug →
mirage16–140.0521%22 Aug →
inferno13–60.0412%22 Aug →
mirage13–3-0.0111%22 Aug →
train13–90.0314%18 Aug →
train7–13-0.0328%18 Aug →
train6–130.0117%16 Aug →
cache13–70.0726%9 Aug →
dust210–130.0113%7 Aug →
shelter8–13-0.0233%7 Aug →
inferno13–6-0.1220%2 Aug →
mirage13–5-0.0417%2 Aug →
mirage8–13-0.0614%30 Jul →
nuke8–130.0117%30 Jul →
vertigo13–70.0116%30 Jul →
mirage12–6-0.0416%26 Jul →
mirage13–90.0412%26 Jul →
inferno13–10-0.0320%25 Jul →
inferno8–130.0221%24 Jul →
anubis13–6-0.0524%24 Jul →
anubis1–8-0.0225%23 Jul →
anubis12–12-0.0716%23 Jul →
dust215–150.0211%18 Jul →
mirage13–7-0.0710%11 Jul →
cache0–4-0.080%11 Jul →
mirage0–3-0.080%11 Jul →
fachwerk5–130.0023%11 Jul →
anubis9–13-0.072%11 Jul →
office7–13-0.0535%10 Jul →
office6–13-0.0026%10 Jul →
office13–11-0.0415%10 Jul →
office3–13-0.064%10 Jul →
cache8–13-0.0313%5 Jul →
cache0–6-0.060%5 Jul →
cache13–110.0926%3 Jul →
ancient11–130.0416%26 Jun →
mirage11–130.0218%26 Jun →
ancient10–130.0118%26 Jun →
mirage13–110.0116%26 Jun →
mirage13–80.0119%26 Jun →
mirage9–13-0.0216%26 Jun →
anubis0–8-0.120%26 Jun →
cache13–110.0215%24 Jun →
inferno9–13-0.0316%18 Jun →
mirage13–110.0119%18 Jun →
mirage0–7-0.100%18 Jun →
mirage3–13-0.0724%18 Jun →
vertigo13–80.0520%13 Jun →
inferno13–80.0922%13 Jun →
ancient15–15-0.0723%10 Jun →
anubis10–13-0.0017%10 Jun →
vertigo13–90.0847%10 Jun →
dust213–70.0110%10 Jun →
inferno13–110.1424%10 Jun →
mirage7–130.0011%7 Jun →
mirage13–5-0.0817%3 Jun →
vertigo13–100.038%3 Jun →
vertigo13–3-0.075%3 Jun →
anubis13–11-0.0115%31 May →
anubis5–130.0523%31 May →
anubis7–13-0.0314%31 May →
mirage13–80.0122%23 May →
ancient13–40.099%23 May →
inferno12–16-0.0027%23 May →
mirage13–20.1125%23 May →
inferno6–13-0.0017%16 May →
nuke4–13-0.0315%16 May →
cache13–40.0423%16 May →
inferno13–4-0.0214%15 May →
mirage6–13-0.0323%15 May →
office13–100.0522%14 May →
office8–13-0.0015%14 May →
cache5–13-0.100%9 May →
cache13–8-0.0128%9 May →
cache13–5-0.024%30 Apr →
ancient13–10-0.109%30 Apr →
cache12–12-0.0412%29 Apr →
train10–13-0.0616%22 Apr →
mirage12–16-0.035%19 Apr →
overpass13–40.0240%19 Apr →
train13–10.0412%19 Apr →
vertigo13–10-0.079%19 Apr →
dust29–130.0426%19 Apr →
vertigo7–13-0.0714%13 Apr →
nuke13–5-0.035%10 Apr →
vertigo13–11-0.0311%9 Apr →

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 →