B0NSAI

B0NSAI — CS2 Stats

76561198146248747[U:1:185983019]Steam profile ↗✓ No bans

1,503Tracked matches72%Win rate2020Tracked since
8,166Hours in CS
CSDB Rating7.7 StrongPositional Player
Premier CS Rating27,338Top 5% of 204,097 CSDB-tracked playersRed band · top ~1.9% of ranked players (population est.)
CSDB Leaderboard#4452 of 251166 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 5 Oct 2026 (5 days ago). Ranks are recorded once per day this page is viewed.

+483Premier CS Rating · 26,855 → 27,338

Rating over time

Premier CS Rating: 27,338 +2,718 15 Sept – 10 Oct · 11 days played
24,62027,338peak 27,33815 Sept10 Oct
27,338Peak Premier in tracked matches
34Days played since 2026-08-29

Premier CS Rating

  • At peak — 27,338
  • +2,718 over 30 days · improving
  • Next: Gold band at 30,000 — 2,662 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Red band first seen 2026-09-20
  • Pink 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.

Compare periods

Last 30 days vs previous 30

MetricLast 30Previous 30Change
Matches158——
Win rate68%——
K/D0.82——
Headshot %60%——

Measured 9 Sep 2026 → 10 Oct 2026; no observation near 60 days ago, so there is no previous window yet.

Differences between Valve's lifetime totals on the days CSDB observed this profile — every mode Valve counts, not only ranked. A window appears only when an observation sits within a few days of each end.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=14,773), 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 8 medianLevel 9 medianvs Level 9
Headshot rate41.1%46.8%48.2%7.2% short
Shot accuracy16.1%13.0%13.3%above
Kill/death ratio0.871.061.070.20 short
Match win rate42.3%46.3%46.9%4.6% short

This profile matches the typical Level 9 player on 1 of 4 comparable metrics.

Widest gap: Kill/death ratio. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGB0NSAIFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER27,338 · Red 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

Aim83
Positioning71
Utility50

0–100 skill scores via Leetify.

Recent form

HOT63–31–6Last 10063%Win rateWLWWWWWLLW

Last 10 vs previous 10: 0pp win rate · −0.04 avg rating · −1.0pp headshot accuracy · +2ms 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

  • 4–1 · 80% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 527ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 20%
  • Avg reaction 524ms

Last 20

  • 14–6 · 70% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 523ms

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 (+1.6 against its own average).

Aim8.3
Utility5.0
Positioning7.1
Opening Duels5.6
Clutch4.2

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 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution.

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

Aim8.3
Positioning7.1
Utility5.0
Mechanics7.9
Opening Duels5.1
Win Impact10.0

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.05 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03+0.02
first ⅓ avg 0.01 → last ⅓ avg 0.03
Reaction time529ms+1ms
first ⅓ avg 529ms → last ⅓ avg 529ms
Headshot accuracy19.2%+3.1%
first ⅓ avg 16.1% → last ⅓ avg 19.2%

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

0.40Best match rating · 4–0 · rush_001, 1 Oct →
50%Best headshot accuracy · 3–0 · inferno, 25 Sept →
359msFastest reaction time · 7–13 · mirage, 30 Sept →
13–0Biggest win · mirage, 5 Oct →

Across the last 100 tracked matches.

Highlights

7Longest win streak
8–5In matches decided by ≤2 rounds
5Overtime games

Map breakdown

trainBest map · 100% over 5nukeWeakest map · 36% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB2614–1254%0.02
infernoS1412–286%0.02
nukeC145–936%0.00
ancientA106–460%-0.02
dust2S107–370%0.01
anubisB105–550%-0.02
cacheS76–186%0.05
trainS55–0100%0.05
vertigo—21–150%-0.03
rush_001—11–0100%0.40
office—11–0100%-0.08

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (36% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

201,303Lifetime kills
0.87K/D
8,888Matches
42.3%Match win rate
41.1%Headshot %
16.1%Shot accuracy · Top 25% of Level 8 players
29,638MVPs
8,166Hours (in match)
8,245Bombs planted
4,414Bombs defused

Most-used weapons

AK-4764,633
AWP38,488
Knife6,450
SSG 082,900
MP92,648
Tec-92,185

Lifetime map wins

12,490inferno
8,445dust2
4,136train
3,130nuke
2,622vertigo
1,544cbble
856office
471lake

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

Faceit stats

Combat

651Matches
53%Win rate
0.91Avg K/D
72.9ADR
39%Headshot %

Clutches & streaks

41%1v1 clutch win
24%1v2 clutch win
10Longest win streak

Recent Faceit resultsWWWWL

MapMatchesWin rateAvg K/DAvg kills
Mirage8360%1.0814.8
Ancient5452%0.9514.4
Dust23647%0.9914.0
Inferno3358%0.8312.0
Anubis3250%0.9013.4
Nuke2471%0.9215.0
Cache1540%1.0815.3
Overpass580%0.9111.4

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.

19.3%Headshot accuracy
36.4%Accuracy (enemy spotted)
38.8%Spray accuracy
85.3%Counter-strafing
9.5°Preaim
520msReaction time
49.5%T opening success
51.4%CT opening success
0.59Enemies flashed / flash
7.6%Flash assists
9.06HE damage / grenade
6.42Flashes / match

Recommended for you

Spend your practice time on Nuke

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

36% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
mirage13–8-0.0511%10 Oct →
mirage11–130.0017%10 Oct →
inferno13–50.0433%10 Oct →
ancient16–130.0218%10 Oct →
inferno7–30.0419%9 Oct →
cache13–40.0443%9 Oct →
mirage13–100.0225%9 Oct →
dust24–13-0.0510%9 Oct →
dust28–130.0514%8 Oct →
dust213–7-0.0512%7 Oct →
train13–20.1118%7 Oct →
train13–100.0333%7 Oct →
inferno13–50.0419%7 Oct →
mirage8–13-0.0612%6 Oct →
train13–9-0.0217%5 Oct →
anubis4–13-0.0829%5 Oct →
inferno13–70.1323%5 Oct →
mirage13–00.2111%5 Oct →
nuke5–130.0226%4 Oct →
anubis13–10.0423%4 Oct →
mirage9–10.0214%4 Oct →
nuke4–13-0.0612%4 Oct →
anubis13–40.1414%3 Oct →
cache9–13-0.0419%3 Oct →
anubis13–50.0517%3 Oct →
mirage13–40.0413%3 Oct →
mirage12–120.0315%2 Oct →
inferno13–10.0315%2 Oct →
nuke13–4-0.0216%1 Oct →
rush_0014–00.4017%1 Oct →
dust213–5-0.0127%30 Sept →
mirage13–40.0120%30 Sept →
mirage7–13-0.0621%30 Sept →
anubis3–13-0.1031%30 Sept →
mirage13–100.0912%29 Sept →
mirage12–120.0218%28 Sept →
inferno10–13-0.0432%28 Sept →
mirage13–80.0315%27 Sept →
mirage13–20.0624%27 Sept →
ancient13–11-0.059%27 Sept →
cache13–80.1922%26 Sept →
nuke13–70.0227%26 Sept →
dust210–50.0817%26 Sept →
nuke2–130.000%26 Sept →
inferno13–40.0133%25 Sept →
inferno3–00.0650%25 Sept →
dust213–11-0.0813%25 Sept →
ancient12–12-0.0129%25 Sept →
mirage12–4-0.0113%25 Sept →
inferno13–9-0.0112%24 Sept →
vertigo8–13-0.0320%24 Sept →
dust213–6-0.0228%24 Sept →
vertigo13–5-0.0214%23 Sept →
inferno16–13-0.0314%22 Sept →
mirage12–120.0320%22 Sept →
train13–110.0117%22 Sept →
ancient11–130.0611%21 Sept →
dust211–13-0.0317%18 Sept →
cache13–5-0.0539%18 Sept →
anubis13–30.049%18 Sept →
nuke13–70.0112%16 Sept →
anubis13–6-0.0324%16 Sept →
ancient13–11-0.064%16 Sept →
ancient13–50.0218%16 Sept →
nuke13–7-0.0714%15 Sept →
ancient6–13-0.1013%15 Sept →
mirage13–110.0011%15 Sept →
anubis12–12-0.0417%15 Sept →
cache16–140.0812%15 Sept →
inferno13–80.0312%15 Sept →
dust213–70.2223%14 Sept →
mirage25–220.0518%11 Sept →
anubis9–13-0.079%10 Sept →
nuke8–130.0212%10 Sept →
mirage2–13-0.0421%10 Sept →
ancient13–9-0.035%10 Sept →
anubis9–13-0.1013%9 Sept →
ancient13–9-0.059%9 Sept →
mirage11–13-0.0622%9 Sept →
nuke8–130.0528%8 Sept →
inferno10–130.0122%7 Sept →
nuke9–13-0.0118%7 Sept →
inferno16–13-0.0322%7 Sept →
nuke13–90.0530%6 Sept →
nuke3–130.0132%6 Sept →
mirage10–130.077%6 Sept →
mirage7–130.0524%6 Sept →
nuke12–120.1016%6 Sept →
nuke11–13-0.0515%5 Sept →
cache13–90.0512%4 Sept →
mirage13–5-0.0515%4 Sept →
train13–100.1015%4 Sept →
dust213–11-0.0019%4 Sept →
cache13–50.0722%3 Sept →
mirage13–70.069%3 Sept →
mirage8–130.062%3 Sept →
ancient6–13-0.017%3 Sept →
inferno13–30.0523%3 Sept →
mirage5–13-0.069%3 Sept →
office13–11-0.0811%2 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.