BaaiN♿

BaaiN♿ — CS2 Stats

DK76561198022243265[U:1:61977537]Steam profile ↗✓ No bans

2,730Tracked matches37%Win rate2020Tracked since
2,538Hours in CS20Hrs last 2 wks
CSDB Rating5.6 SolidPositional Player
Premier CS Rating20,000Top 50% of 210,832 CSDB-tracked playersPink band · top ~8.5% of ranked players (population est.)
CSDB Leaderboard#82980 of 257895 tracked
WingmanLegendary Eagle
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Oct 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.

Rating over time

Premier CS Rating: 20,000 +1,962 4 Aug – 26 Oct · 41 days played
17,58020,000peak 20,0004 Aug26 Oct
20,120Peak Premier in tracked matches
42Days played since 2026-08-04

Premier CS Rating

  • At peak — 20,000
  • +827 over 30 days · improving
  • +1,962 over 90 days
  • Next: Red band at 25,000 — 5,000 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band
  • Purple band first seen 2026-09-20
  • Blue band first seen 2026-09-20

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 rate43.2%46.9%49.3%6.1% short
Shot accuracy4.1%13.0%13.4%9.3% short
Kill/death ratio1.041.081.120.08 short
Match win rate43.1%46.7%48.5%5.4% short

This profile sits below the typical Red band player on every metric we can compare.

Widest gap: Shot accuracy. 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.GGBaaiN♿PREMIER20,000 · Pink 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

Aim66
Positioning62
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY35–61–4Last 10035%Win rateLLWWLWLWLL

Last 10 vs previous 10: 0pp win rate · +0.00 avg rating · −1.8pp headshot accuracy · +3ms 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 -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 513ms

Last 10

  • 4–6 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 13%
  • Avg reaction 548ms

Last 20

  • 8–12 · 40% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 14%
  • Avg reaction 547ms

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 (+2.5 against its own average).

Aim6.6
Utility5.8
Positioning6.2
Opening Duels2.8
Clutch0.0

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

ZywOo

Plays most like ZywOo 83% playstyle similarity

Most alike: positioning profile, utility contribution.

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 →

CSDB Rating breakdown

Aim6.6
Positioning6.2
Utility5.8
Mechanics5.6
Opening Duels4.8
Win Impact0.6

Composite 5.6/10 (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 rating0.01−0.01
first ⅓ avg 0.02 → last ⅓ avg 0.01
Reaction time541ms−34ms
first ⅓ avg 575ms → last ⅓ avg 541ms
Headshot accuracy13.5%−2.0%
first ⅓ avg 15.5% → 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

0.17Best match rating · 13–3 · anubis, 21 Sept →
34%Best headshot accuracy · 13–3 · anubis, 21 Sept →
383msFastest reaction time · 13–4 · nuke, 26 Oct →
13–1Biggest win · nuke, 16 Aug →

Across the last 100 tracked matches.

Highlights

3Longest win streak
L2Current streak
4–12In matches decided by ≤2 rounds
13Overtime games

Map breakdown

ancientBest map · 54% over 13mirageWeakest map · 11% over 9
MapGradePlayedRecordWin rateAvg rating
nukeB2110–1148%0.03
anubisD206–1430%0.00
cacheD154–1127%0.02
ancientB137–654%0.02
infernoC125–742%0.03
dust2D102–820%-0.01
mirageD91–811%-0.01

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (11% over 9). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

73,642Lifetime kills
1.04K/D
3,850Matches
43.1%Match win rate
43.2%Headshot %
4.1%Shot accuracy
9,734MVPs
1,479Hours (in match)
2,324Bombs planted
1,102Bombs defused

Most-used weapons

AK-4723,710
AWP5,801
MAC-103,674
MP92,591
P901,521

Lifetime map wins

7,170nuke
6,559inferno
5,143dust2
3,777vertigo
527train
36office
25cbble
11italy

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

Faceit stats

Combat

2Matches
100%Win rate
1.04Avg K/D
82.5ADR
34%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLLWW

MapMatchesWin rateAvg K/DAvg kills
Vertigo1100%1.2018.0
Nuke1100%0.8713.0

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.

13.3%Headshot accuracy
34.9%Accuracy (enemy spotted)
37.3%Spray accuracy
75.3%Counter-strafing
9.9°Preaim
537msReaction time
51.0%T opening success
47.2%CT opening success
0.50Enemies flashed / flash
6.2%Flash assists
7.22HE damage / grenade
7.94Flashes / 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. 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 13.3273% — below the 15% mark we flag

    Aim Training →
  2. 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 0.4972 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Mirage

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

11% win rate across 9 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.059%26 Oct →
mirage8–13-0.0119%26 Oct →
nuke13–40.0415%26 Oct →
nuke16–130.019%26 Oct →
mirage1–13-0.0520%23 Oct →
ancient13–90.0910%23 Oct →
inferno3–130.008%23 Oct →
dust213–60.0915%21 Oct →
cache11–130.0514%21 Oct →
nuke6–13-0.0813%21 Oct →
mirage5–130.038%21 Oct →
inferno13–80.0413%20 Oct →
ancient13–70.0217%20 Oct →
dust211–130.0117%20 Oct →
cache1–13-0.0318%19 Oct →
mirage10–130.0012%19 Oct →
anubis6–13-0.0214%18 Oct →
nuke13–70.0419%18 Oct →
mirage2–13-0.0517%17 Oct →
cache13–110.0315%17 Oct →
inferno13–110.0118%17 Oct →
mirage3–13-0.019%15 Oct →
nuke13–160.0613%15 Oct →
dust29–13-0.027%15 Oct →
cache5–130.0418%15 Oct →
dust213–80.0113%12 Oct →
anubis7–13-0.029%12 Oct →
cache10–130.0312%12 Oct →
cache11–130.009%10 Oct →
inferno13–90.0115%10 Oct →
cache13–100.0513%8 Oct →
nuke7–13-0.0716%8 Oct →
anubis10–130.0011%8 Oct →
dust211–13-0.0429%7 Oct →
anubis5–13-0.113%7 Oct →
dust29–13-0.0414%7 Oct →
inferno15–15-0.0411%6 Oct →
mirage15–150.0310%6 Oct →
cache13–100.0714%5 Oct →
anubis13–40.0914%5 Oct →
anubis13–90.0315%5 Oct →
nuke11–130.127%3 Oct →
nuke13–60.096%3 Oct →
anubis9–13-0.0113%3 Oct →
ancient13–70.0516%3 Oct →
anubis11–130.0312%3 Oct →
nuke13–16-0.0014%3 Oct →
cache6–13-0.0310%3 Oct →
nuke9–13-0.0110%2 Oct →
mirage5–13-0.0621%1 Oct →
dust26–13-0.0522%1 Oct →
ancient11–13-0.0511%1 Oct →
anubis8–13-0.0314%30 Sept →
anubis13–8-0.0111%30 Sept →
anubis6–13-0.0214%30 Sept →
nuke4–130.0812%29 Sept →
inferno6–13-0.018%27 Sept →
ancient13–100.0411%27 Sept →
anubis2–13-0.0215%25 Sept →
dust27–130.0118%25 Sept →
dust213–16-0.0015%24 Sept →
anubis16–120.0714%21 Sept →
ancient5–13-0.0017%21 Sept →
anubis13–30.1734%21 Sept →
nuke8–130.0320%13 Sept →
anubis15–150.0111%11 Sept →
cache7–13-0.0316%10 Sept →
anubis9–13-0.0524%10 Sept →
nuke11–13-0.0120%9 Sept →
nuke16–130.1018%5 Sept →
ancient16–130.0512%4 Sept →
cache11–130.037%4 Sept →
anubis16–13-0.009%4 Sept →
cache15–150.1016%30 Aug →
nuke13–50.027%29 Aug →
cache13–50.0217%29 Aug →
anubis5–13-0.0112%29 Aug →
mirage13–4-0.028%18 Aug →
dust24–13-0.0329%18 Aug →
ancient4–130.0214%17 Aug →
ancient11–13-0.037%16 Aug →
nuke13–10.0614%16 Aug →
ancient11–13-0.0218%16 Aug →
anubis8–13-0.0215%15 Aug →
inferno13–110.1219%15 Aug →
cache10–13-0.0017%14 Aug →
inferno13–20.1524%14 Aug →
nuke6–130.0221%13 Aug →
inferno5–130.0121%13 Aug →
ancient5–13-0.0216%13 Aug →
inferno7–13-0.0211%12 Aug →
nuke13–10.0117%11 Aug →
nuke13–11-0.0014%11 Aug →
inferno8–130.0310%11 Aug →
nuke9–13-0.0013%11 Aug →
inferno10–130.0414%9 Aug →
nuke13–100.0216%6 Aug →
ancient16–130.1015%4 Aug →
cache9–13-0.0216%4 Aug →
ancient13–5-0.0018%4 Aug →

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.