grrrBaun ϟ

grrrBaun ϟ — CS2 Stats

DK76561198223618708[U:1:263352980]Steam profile ↗✓ No bans

566Tracked matches55%Win rate2021Tracked since
1,225Hours in CS
CSDB Rating6.0 SolidSupport
Premier CS Rating21,946Top 50% of 215,386 CSDB-tracked playersPink band · top ~6.4% of ranked players (population est.)
CSDB Leaderboard#57779 of 261579 tracked
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 31 Aug 2026 (75 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 566 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 21,946 +764 19 Mar – 31 Aug · 25 days played
16,51721,946peak 21,94619 Mar31 Aug
21,946Peak Premier in tracked matches
40Days played since 2026-03-19

Premier CS Rating

  • At peak — 21,946
  • +357 over 30 days · steady
  • +5,429 over 90 days
  • Next: Red band at 25,000 — 3,054 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Pink band first seen 2026-08-31
  • Purple band first seen 2026-08-31

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 Pink band among CSDB-tracked players (n=38,294), 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 playerPink band medianRed band medianvs Red band
Headshot rate46.8%46.9%49.3%2.5% short
Shot accuracy16.6%13.0%13.4%above
Kill/death ratio1.251.081.12above
Match win rate50.2%46.7%48.5%above

This profile matches the typical Red band player on 3 of 4 comparable metrics.

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

Share this profile

CSDB.GGgrrrBaun ϟPREMIER21,946 · Pink bandcsdb.gg/stats

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Performance scores

Aim72
Positioning45
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY43–53–4Last 10043%Win rateWLLWLWWWLW

Last 10 vs previous 10: +20pp win rate · −0.04 avg rating · −15.0pp headshot accuracy · −38ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.04), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 2–3 · 40% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 689ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 17%
  • Avg reaction 647ms

Last 20

  • 10–9–1 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 24%
  • Avg reaction 666ms

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: Support — Utility contribution stands above the rest of this profile (+1.5 against its own average).

Aim7.2
Utility5.8
Positioning4.5
Opening Duels2.1
Clutch5.0

Strong CT-side openerEffective flashes

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 90% 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

T-side openings. Opening success drops from 48% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 652ms 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

Aim7.2
Positioning4.5
Utility5.8
Mechanics7.2
Opening Duels2.3
Win Impact6.7

Composite 6.0/10 (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 rating0.00−0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time654ms+29ms
first ⅓ avg 626ms → last ⅓ avg 654ms
Headshot accuracy21.9%+4.2%
first ⅓ avg 17.7% → last ⅓ avg 21.9%

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

0.15Best match rating · 13–3 · mirage, 22 Mar →
100%Best headshot accuracy · 4–0 · anubis, 18 Jul →
453msFastest reaction time · 4–13 · dust2, 29 Mar →
13–1Biggest win · cache, 3 May →

Across the last 100 tracked matches.

Highlights

5Longest win streak
8–3In matches decided by ≤2 rounds
9Overtime games

Map breakdown

cacheBest map · 53% over 34dust2Weakest map · 35% over 17
MapGradePlayedRecordWin rateAvg rating
cacheB3418–1653%0.01
mirageC218–1338%0.03
dust2C176–1135%-0.02
ancientB105–550%0.03
infernoB84–450%-0.01
nuke—41–325%-0.05
anubis—41–325%0.00
overpass—20–20%-0.02

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (35% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

59,895Lifetime kills
1.25K/D · Top 25% of Pink band
2,091Matches
50.2%Match win rate · Top 25% of Pink band
46.8%Headshot %
16.6%Shot accuracy · Top 25% of Pink band
6,862MVPs
1,225Hours (in match)
3,160Bombs planted
859Bombs defused

Most-used weapons

Lifetime map wins

4,325dust2
3,541inferno
1,123cbble
787nuke
464train
255vertigo
99office
39bank

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

Faceit stats

Combat

186Matches
58%Win rate
1.24Avg K/D
77.4ADR
44%Headshot %

Clutches & streaks

45%1v1 clutch win
23%1v2 clutch win
7Longest win streak

Recent Faceit resultsLWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3949%1.3614.4
Dust21861%1.1415.6
Inferno1354%1.3516.6
Ancient1292%1.4517.8
Anubis743%1.2913.7
Overpass450%0.9413.0
Nuke250%0.8413.5

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.

19.9%Headshot accuracy
34.6%Accuracy (enemy spotted)
38.0%Spray accuracy
82.5%Counter-strafing
8.9°Preaim
652msReaction time
25.1%T opening success
48.3%CT opening success
0.74Enemies flashed / flash
8.2%Flash assists
10.30HE damage / grenade
9.33Flashes / 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 25.1337% — 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.

35% win rate across 17 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
mirage13–110.0322%8 Aug →
inferno9–13-0.0412%25 Jul →
dust29–13-0.048%25 Jul →
cache13–7-0.0223%25 Jul →
inferno11–13-0.0218%25 Jul →
ancient16–120.0216%25 Jul →
dust213–7-0.0410%25 Jul →
nuke16–13-0.0324%19 Jul →
cache4–13-0.0417%19 Jul →
dust216–14-0.0320%19 Jul →
mirage3–130.0621%19 Jul →
ancient12–160.0221%19 Jul →
dust215–15-0.0120%18 Jul →
anubis4–00.06100%18 Jul →
mirage2–13-0.0338%18 Jul →
dust26–13-0.0524%17 Jul →
inferno13–60.0333%17 Jul →
dust213–40.0214%16 Jul →
cache13–70.0216%16 Jul →
ancient11–130.0433%16 Jul →
cache13–100.0214%16 Jul →
dust213–110.0310%12 Jul →
cache13–20.0927%12 Jul →
anubis6–13-0.0812%12 Jul →
inferno13–50.0318%12 Jul →
mirage13–30.1117%5 Jul →
mirage8–13-0.0314%5 Jul →
mirage8–130.0428%4 Jul →
dust24–13-0.0220%4 Jul →
mirage13–90.0420%24 Jun →
dust213–50.0012%21 Jun →
mirage13–2-0.0213%21 Jun →
inferno2–13-0.0929%29 May →
mirage7–130.1022%28 May →
inferno13–80.0211%28 May →
cache13–100.0511%24 May →
cache13–10-0.0115%22 May →
cache5–13-0.056%22 May →
cache13–8-0.0012%21 May →
cache7–130.0311%21 May →
cache7–13-0.0018%20 May →
cache13–100.0010%20 May →
cache13–80.0810%19 May →
cache13–90.0417%17 May →
cache12–12-0.0017%17 May →
cache5–13-0.0612%17 May →
cache7–130.0232%15 May →
cache7–13-0.0618%15 May →
cache8–13-0.0030%15 May →
cache9–13-0.0233%14 May →
cache13–40.0415%14 May →
cache13–11-0.0113%13 May →
cache12–120.0226%13 May →
cache0–13-0.0530%12 May →
cache5–13-0.0426%12 May →
dust29–130.0735%12 May →
cache9–13-0.0217%4 May →
cache9–13-0.0318%4 May →
cache13–50.0414%3 May →
cache13–50.0310%3 May →
cache13–50.0321%3 May →
cache13–110.0312%3 May →
cache13–10.1218%3 May →
cache10–13-0.0514%3 May →
cache13–40.0014%3 May →
nuke4–13-0.0517%28 Apr →
dust21–13-0.0927%28 Apr →
ancient13–50.0423%27 Apr →
mirage13–160.0415%25 Apr →
nuke7–13-0.0425%16 Apr →
dust29–13-0.0513%3 Apr →
anubis6–130.0416%3 Apr →
mirage8–130.0312%3 Apr →
ancient10–130.0321%31 Mar →
mirage13–160.0122%31 Mar →
ancient15–150.0525%29 Mar →
dust24–13-0.1030%29 Mar →
mirage8–13-0.0517%29 Mar →
mirage13–50.0915%28 Mar →
mirage1–13-0.0412%28 Mar →
ancient10–130.0418%28 Mar →
dust210–13-0.0012%28 Mar →
ancient13–90.0821%28 Mar →
overpass8–13-0.0110%27 Mar →
mirage4–13-0.0210%27 Mar →
inferno7–13-0.0132%27 Mar →
ancient13–11-0.0024%25 Mar →
mirage9–130.0117%24 Mar →
mirage13–30.1517%22 Mar →
mirage19–15-0.0212%22 Mar →
anubis7–130.0010%21 Mar →
inferno13–11-0.008%21 Mar →
ancient13–11-0.0111%21 Mar →
mirage11–130.0221%21 Mar →
dust213–10-0.0842%21 Mar →
overpass6–13-0.0418%20 Mar →
dust210–13-0.0116%20 Mar →
mirage13–60.0211%19 Mar →
dust26–13-0.0016%19 Mar →
nuke6–13-0.0710%19 Mar →

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 →

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