b0s0x

b0s0x — CS2 Stats

76561199123882541[U:1:1163616813]Steam profile ↗✓ No bans

319Tracked matches50%Win rate2023Tracked since
CSDB Rating4.3 DevelopingPositional Player
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 1,796 -950 16 Feb – 30 Jun · 39 days played
1,0002,746peak 2,74616 Feb30 Jun
2,754Peak Premier in tracked matches
58Days played since 2026-02-12

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Performance scores

Aim41
Positioning41
Utility35

0–100 skill scores via Leetify.

Recent form

STEADY27–65–8Last 10027%Win rateWWLWTWTLTL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · −3.2pp headshot accuracy · −73ms 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

  • 3–1–1 · 60% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 5%
  • Avg reaction 580ms

Last 10

  • 4–3–3 · 40% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 6%
  • Avg reaction 642ms

Last 20

  • 7–9–4 · 35% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 7%
  • Avg reaction 679ms

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 (+1.3 against its own average).

Aim4.1
Utility3.5
Positioning4.1
Opening Duels0.8

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

ZywOo

Plays most like ZywOo 82% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: lower utility contribution; 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 41% on CT to 21% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 680ms 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

Aim4.1
Positioning4.1
Utility3.5
Mechanics6.9
Opening Duels1.4
Win Impact5.0

Composite 4.3/10 (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-0.04+0.01
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time680ms+13ms
first ⅓ avg 667ms → last ⅓ avg 680ms
Headshot accuracy7.1%−3.3%
first ⅓ avg 10.5% → last ⅓ avg 7.1%

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 · 13–11 · overpass, 27 Apr →
23%Best headshot accuracy · 13–4 · cache, 28 Jun →
484msFastest reaction time · 2–13 · cache, 14 Aug →
13–3Biggest win · anubis, 19 Sept →

Across the last 100 tracked matches.

Highlights

5Longest win streak
W2Current streak
5–8In matches decided by ≤2 rounds
16Overtime games

Map breakdown

anubisBest map · 42% over 12infernoWeakest map · 22% over 23
MapGradePlayedRecordWin rateAvg rating
infernoD235–1822%-0.05
overpassD154–1127%-0.02
anubisC125–742%-0.03
ancientD123–925%-0.05
nukeD113–827%-0.05
cacheD92–722%-0.03
mirageD93–633%-0.04
dust2D82–625%-0.05
alpine—10–10%-0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (22% over 23). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

7.4%Headshot accuracy
35.1%Accuracy (enemy spotted)
34.6%Spray accuracy
81.0%Counter-strafing
11.4°Preaim
680msReaction time
21.4%T opening success
41.4%CT opening success
0.47Enemies flashed / flash
4.5%Flash assists
6.70HE damage / grenade
2.67Flashes / 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 7.4267% — 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 0.4668 — below the 0.5 mark we flag

    Grenade Lineups →
  3. 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 21.3664% — below the 40% mark we flag

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.

22% win rate across 23 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
anubis13–3-0.090%19 Sept →
anubis13–4-0.045%19 Aug →
cache2–13-0.090%14 Aug →
inferno16–14-0.0210%14 Aug →
anubis15–150.0111%12 Aug →
ancient13–7-0.034%11 Aug →
mirage15–15-0.019%11 Aug →
anubis11–13-0.062%9 Aug →
ancient15–150.007%28 Jul →
mirage5–13-0.0710%28 Jul →
inferno15–15-0.0510%30 Jun →
inferno8–13-0.095%28 Jun →
cache13–40.0123%28 Jun →
mirage5–13-0.035%15 Jun →
ancient14–16-0.067%3 Jun →
mirage1–13-0.1111%2 Jun →
ancient6–13-0.077%31 May →
overpass11–13-0.0611%31 May →
cache13–9-0.026%31 May →
nuke13–90.026%31 May →
inferno3–13-0.034%30 May →
mirage9–20.1011%30 May →
dust213–8-0.0811%30 May →
anubis13–50.014%30 May →
anubis13–7-0.035%30 May →
ancient16–14-0.028%29 May →
inferno4–13-0.043%26 May →
overpass10–13-0.089%22 May →
inferno13–9-0.065%22 May →
cache11–13-0.0611%15 May →
cache12–12-0.015%12 May →
anubis10–13-0.0413%12 May →
cache11–13-0.080%8 May →
nuke16–12-0.019%6 May →
overpass9–13-0.0912%5 May →
anubis9–13-0.079%3 May →
dust26–13-0.0613%3 May →
anubis10–13-0.0611%3 May →
cache12–12-0.075%1 May →
cache7–13-0.0010%29 Apr →
cache5–130.026%29 Apr →
inferno8–13-0.067%28 Apr →
overpass13–110.1112%27 Apr →
ancient3–13-0.062%19 Apr →
inferno5–13-0.089%19 Apr →
inferno5–13-0.049%19 Apr →
ancient12–160.015%13 Apr →
overpass10–13-0.0410%13 Apr →
nuke3–13-0.083%13 Apr →
overpass13–11-0.049%12 Apr →
anubis16–14-0.0014%12 Apr →
mirage11–13-0.0711%1 Apr →
overpass7–13-0.069%31 Mar →
nuke10–13-0.089%30 Mar →
overpass13–16-0.0314%30 Mar →
overpass2–13-0.037%30 Mar →
inferno5–13-0.0711%29 Mar →
nuke6–13-0.0815%29 Mar →
inferno6–13-0.066%28 Mar →
inferno7–13-0.055%26 Mar →
anubis6–13-0.022%26 Mar →
mirage13–8-0.0413%25 Mar →
ancient7–13-0.046%23 Mar →
inferno13–50.0412%23 Mar →
overpass9–130.0115%22 Mar →
dust25–13-0.0710%17 Mar →
anubis8–130.0011%17 Mar →
inferno6–13-0.113%16 Mar →
dust27–13-0.0823%13 Mar →
inferno13–30.0116%13 Mar →
overpass13–9-0.029%12 Mar →
ancient13–5-0.036%12 Mar →
overpass12–16-0.079%12 Mar →
inferno13–80.0313%10 Mar →
inferno11–13-0.068%10 Mar →
ancient11–13-0.067%9 Mar →
mirage8–13-0.0612%9 Mar →
nuke3–13-0.053%9 Mar →
dust210–13-0.010%8 Mar →
alpine12–12-0.0711%8 Mar →
overpass8–130.0614%3 Mar →
nuke8–13-0.0614%3 Mar →
inferno8–13-0.065%2 Mar →
nuke8–13-0.0116%2 Mar →
ancient2–13-0.1114%1 Mar →
mirage13–5-0.0410%1 Mar →
dust24–13-0.0319%1 Mar →
inferno9–13-0.0710%27 Feb →
inferno10–13-0.0710%25 Feb →
ancient6–13-0.130%23 Feb →
overpass13–80.0411%23 Feb →
inferno4–13-0.076%23 Feb →
nuke7–13-0.0511%22 Feb →
inferno13–16-0.0715%22 Feb →
dust28–13-0.0711%21 Feb →
overpass9–13-0.0510%17 Feb →
dust216–13-0.0217%16 Feb →
nuke15–15-0.0615%16 Feb →
nuke13–9-0.077%15 Feb →
inferno12–16-0.0510%12 Feb →

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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