Brudi Jakob

Brudi Jakob — CS2 Stats

VA76561197971986531[U:1:11720803]Steam profile ↗✓ No bans

3,008Tracked matches43%Win rate2020Tracked since
3,886Hours in CS10Hrs last 2 wks
CSDB Rating5.7 SolidPositional Player
Premier CS Rating24,500Pink band · top ~3.5% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

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CSDB.GGBrudi JakobPREMIER24,500 · Pink bandcsdb.gg/stats

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Performance scores

Aim73
Positioning61
Utility35

0–100 skill scores via Leetify.

Recent form

COLD44–50–6Last 10044%Win rateWLLWLLTLWL

Last 10 vs previous 10: −10pp win rate · −0.00 avg rating · −4.1pp headshot accuracy · −64ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 527ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 16%
  • Avg reaction 513ms

Last 20

  • 7–11–2 · 35% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 18%
  • 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 (+1.9 against its own average).

Aim7.3
Utility3.5
Positioning6.1
Opening Duels3.2
Clutch3.8

Strong CT-side opener

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

donk

Plays most like donk 90% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; 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

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

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

Aim7.3
Positioning6.1
Utility3.5
Mechanics6.0
Opening Duels4.9
Win Impact2.6

Composite 5.7/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time557ms−34ms
first ⅓ avg 591ms → last ⅓ avg 557ms
Headshot accuracy19.3%−5.8%
first ⅓ avg 25.1% → last ⅓ avg 19.3%

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

0.11Best match rating · 13–10 · dust2, 10 Sept →
100%Best headshot accuracy · 0–3 · anubis, 1 Sept →
281msFastest reaction time · 3–6 · shelter, 17 Jul →
13–1Biggest win · dust2, 11 Sept →

Across the last 100 tracked matches.

Highlights

6Longest win streak
7–8In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 61% over 18infernoWeakest map · 33% over 18
MapGradePlayedRecordWin rateAvg rating
anubisA1811–761%-0.00
infernoD186–1233%-0.02
dust2B178–947%-0.01
ancientB157–847%-0.02
nukeC114–736%-0.02
cacheB84–450%-0.01
mirageC52–340%-0.03
boulder—21–150%-0.01
fachwerk—21–150%0.02
debris—20–20%-0.02
shelter—10–10%-0.02
overpass—10–10%-0.04

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 18). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

130,291Lifetime kills
1.06K/D
5,847Matches
48.8%Match win rate
50.0%Headshot %
12.3%Shot accuracy
13,244MVPs
4,683Hours (in match)
6,745Bombs planted
1,538Bombs defused

Most-used weapons

AK-4745,079
AWP18,142
AUG3,261
XM10142,556
SSG 082,365

Lifetime map wins

12,630dust2
8,790inferno
4,121nuke
2,114vertigo
1,168train
516cbble
223italy
88office

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

Faceit stats

Combat

538Matches
51%Win rate
1.03Avg K/D
73.8ADR
47%Headshot %

Clutches & streaks

39%1v1 clutch win
23%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient7847%1.0114.6
Anubis7458%1.0715.5
Dust25751%0.9914.8
Inferno5661%0.9614.3
Vertigo2335%1.0412.2
Nuke2241%1.0215.3
Overpass1656%1.0214.1
Mirage1471%1.0515.3

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.

18.6%Headshot accuracy
33.5%Accuracy (enemy spotted)
35.8%Spray accuracy
76.8%Counter-strafing
8.7°Preaim
544msReaction time
47.6%T opening success
51.6%CT opening success
0.33Enemies flashed / flash
4.3%Flash assists
7.27HE damage / grenade
7.42Flashes / 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 0.3307 — below the 0.5 mark we flag

    Grenade Lineups →
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.

33% win rate across 18 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–40.0316%13 Nov →
anubis11–13-0.009%13 Nov →
dust29–13-0.0119%13 Nov →
nuke13–10-0.0219%12 Nov →
anubis14–16-0.0418%12 Nov →
inferno10–130.0320%12 Nov →
mirage15–15-0.038%29 Oct →
ancient6–13-0.0611%29 Oct →
nuke13–11-0.0413%26 Oct →
ancient7–130.0528%21 Oct →
dust215–15-0.0325%20 Oct →
anubis13–80.0515%20 Oct →
inferno4–0-0.050%20 Oct →
dust213–8-0.0138%20 Oct →
inferno2–13-0.0943%17 Oct →
boulder13–100.0718%17 Oct →
fachwerk7–130.0115%16 Oct →
dust27–130.0916%16 Oct →
dust25–13-0.0019%16 Oct →
ancient5–13-0.0614%16 Oct →
anubis13–7-0.0312%16 Oct →
nuke4–130.0218%16 Oct →
mirage13–11-0.0113%16 Oct →
dust24–13-0.0738%16 Oct →
anubis13–80.0317%16 Oct →
nuke7–13-0.0525%16 Oct →
anubis3–13-0.0523%14 Oct →
anubis13–7-0.0512%8 Oct →
nuke13–50.0117%3 Oct →
inferno1–13-0.0722%3 Oct →
inferno16–120.0326%3 Oct →
debris8–80.0533%29 Sept →
debris5–9-0.0919%29 Sept →
inferno11–13-0.0321%29 Sept →
ancient13–11-0.0340%27 Sept →
nuke4–13-0.0311%25 Sept →
nuke9–13-0.0131%25 Sept →
inferno7–13-0.0817%25 Sept →
dust213–110.027%25 Sept →
cache9–13-0.0020%25 Sept →
mirage11–13-0.0520%25 Sept →
mirage7–13-0.0713%24 Sept →
dust210–13-0.0315%24 Sept →
anubis13–6-0.0112%24 Sept →
nuke8–13-0.0513%24 Sept →
inferno16–140.0120%21 Sept →
dust213–8-0.0124%18 Sept →
ancient10–13-0.0224%18 Sept →
inferno10–13-0.0323%18 Sept →
anubis13–110.0223%17 Sept →
nuke13–110.0112%17 Sept →
ancient13–8-0.0215%17 Sept →
ancient13–50.0423%16 Sept →
nuke11–130.0023%16 Sept →
dust213–10-0.0122%14 Sept →
dust213–10-0.0319%12 Sept →
anubis8–130.0221%12 Sept →
dust213–1-0.0317%11 Sept →
ancient13–9-0.0514%11 Sept →
anubis13–50.0916%11 Sept →
inferno16–120.0021%11 Sept →
dust213–100.1131%10 Sept →
mirage13–80.0017%10 Sept →
inferno6–13-0.0715%8 Sept →
anubis13–80.0525%8 Sept →
ancient13–100.0533%8 Sept →
inferno5–13-0.0626%4 Sept →
cache14–16-0.0418%3 Sept →
dust211–13-0.0723%2 Sept →
anubis0–3-0.08100%1 Sept →
ancient14–16-0.0221%31 Aug →
inferno13–9-0.0223%30 Aug →
inferno7–13-0.0711%13 Aug →
cache13–80.0624%11 Aug →
inferno15–150.0113%5 Aug →
inferno5–13-0.0126%4 Aug →
anubis1–13-0.0534%4 Aug →
nuke7–13-0.0527%4 Aug →
anubis13–30.0130%3 Aug →
dust25–13-0.0526%3 Aug →
cache12–16-0.0321%3 Aug →
ancient13–8-0.0111%2 Aug →
dust213–9-0.0419%2 Aug →
inferno15–150.0221%2 Aug →
fachwerk13–30.0330%17 Jul →
boulder6–13-0.0916%17 Jul →
shelter3–6-0.0231%17 Jul →
ancient3–13-0.0812%13 Jul →
ancient5–130.0018%13 Jul →
cache13–7-0.0135%13 Jul →
cache13–9-0.0624%12 Jul →
ancient7–13-0.0510%12 Jul →
anubis13–70.0123%12 Jul →
inferno13–100.0318%12 Jul →
cache13–60.0320%7 Jul →
anubis13–100.0527%7 Jul →
cache12–12-0.0420%7 Jul →
dust27–130.0131%5 Jul →
overpass6–13-0.0426%5 Jul →
anubis2–13-0.0538%5 Jul →

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 →

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