Bossi Pio

Bossi Pio — CS2 Stats

FJ76561197991669264[U:1:31403536]Steam profile ↗✓ No bans

1,251Tracked matches46%Win rate2023Tracked since
1,224Hours in CS11Hrs last 2 wks
CSDB Rating3.8 LearningAll-Rounder
Premier CS Rating7,212Light Blue band · top ~68.2% of ranked players (population est.)
WingmanMaster Guardian II
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Oct 2026 (2 days ago). 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: 7,212 +476 25 Jul – 4 Oct · 9 days played
6,7147,449peak 7,44925 Jul4 Oct
7,449Peak Premier in tracked matches
30Days played since 2026-07-18

Premier CS Rating

  • 237 below peak (7,449)
  • +134 over 30 days · steady
  • Next: Blue band at 10,000 — 2,788 to go
  • Reached: Light Blue band
  • Light Blue band first seen 2026-09-02

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
Matches83——
Win rate49%——
K/D1.01——
Headshot %49%——

Measured 6 Sep 2026 → 6 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 Light Blue band among CSDB-tracked players (n=8,820), 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 playerLight Blue band medianBlue band medianvs Blue band
Headshot rate41.1%39.9%42.0%0.9% short
Shot accuracy6.3%7.0%9.6%3.3% short
Kill/death ratio0.900.920.980.08 short
Match win rate44.3%42.3%43.8%meets

This profile matches the typical Blue band player on 1 of 4 comparable metrics.

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

Share this profile

CSDB.GGBossi PioPREMIER7,212 · Light Blue 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

Aim37
Positioning53
Utility37

0–100 skill scores via Leetify.

Recent form

STEADY45–41–14Last 10045%Win rateLWWLWWTWWL

Last 10 vs previous 10: −10pp win rate · +0.01 avg rating · +1.7pp headshot accuracy · +30ms 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

  • 3–2 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 15%
  • Avg reaction 573ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 17%
  • Avg reaction 613ms

Last 20

  • 13–4–3 · 65% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 16%
  • Avg reaction 597ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim3.7
Utility3.7
Positioning5.3
Opening Duels4.5

Limited 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

m0NESY

Plays most like m0NESY 73% 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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 55% on CT to 39% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 618ms 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

Aim3.7
Positioning5.3
Utility3.7
Mechanics4.8
Opening Duels4.3
Win Impact3.7

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time597ms−46ms
first ⅓ avg 643ms → last ⅓ avg 597ms
Headshot accuracy14.2%+0.4%
first ⅓ avg 13.7% → last ⅓ avg 14.2%

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

0.30Best match rating · 9–1 · vertigo, 25 Jul →
60%Best headshot accuracy · 13–0 · anubis, 25 Jul →
359msFastest reaction time · 3–9 · overpass, 26 Sept →
13–0Biggest win · vertigo, 31 Jul →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–8In matches decided by ≤2 rounds
3Overtime games

Map breakdown

vertigoBest map · 56% over 36infernoWeakest map · 33% over 12
MapGradePlayedRecordWin rateAvg rating
vertigoA3620–1656%0.03
cacheC2410–1442%-0.03
infernoD124–833%-0.01
dust2—42–250%0.00
nuke—42–250%0.04
anubis—42–250%0.01
poseidon—31–233%-0.07
ancient—33–0100%-0.02
boulder—30–30%0.02
eldorado—21–150%-0.01
debris—20–20%0.04
mirage—20–20%-0.06
overpass—10–10%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (33% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,397Lifetime kills
0.90K/D
2,646Matches
44.3%Match win rate · Top 50% of Light Blue band
41.1%Headshot % · Top 50% of Light Blue band
6.3%Shot accuracy
5,500MVPs
680Hours (in match)
2,728Bombs planted
331Bombs defused

Most-used weapons

AK-476,506
MAC-101,878
MP91,262
XM10141,185
MP71,097
AWP694

Lifetime map wins

8,735vertigo
2,296inferno
715dust2
577nuke
261office
87train
57cbble
39italy

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

Skill profile

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

12.8%Headshot accuracy
30.7%Accuracy (enemy spotted)
30.4%Spray accuracy
71.6%Counter-strafing
11.5°Preaim
618msReaction time
39.2%T opening success
54.9%CT opening success
0.40Enemies flashed / flash
6.6%Flash assists
9.19HE damage / grenade
2.34Flashes / 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 12.7603% — 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 0.3994 — 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 39.2493% — 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.

33% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0323%4 Oct →
vertigo9–40.2211%29 Sept →
inferno9–60.0813%29 Sept →
overpass3–9-0.067%26 Sept →
nuke9–50.0519%26 Sept →
eldorado9–7-0.0612%26 Sept →
poseidon8–8-0.1119%17 Sept →
inferno9–40.2028%17 Sept →
vertigo9–50.0417%16 Sept →
vertigo9–13-0.0518%13 Sept →
vertigo13–30.0418%13 Sept →
cache13–4-0.0113%13 Sept →
vertigo4–13-0.017%13 Sept →
cache12–120.028%10 Sept →
vertigo13–10-0.0011%10 Sept →
vertigo8–8-0.0533%9 Sept →
cache13–20.1116%9 Sept →
ancient13–7-0.009%7 Sept →
dust213–30.0018%7 Sept →
vertigo9–00.1216%7 Sept →
debris7–90.0519%7 Sept →
vertigo4–20.1513%7 Sept →
boulder10–130.0214%7 Sept →
dust28–130.0713%4 Sept →
cache8–13-0.019%4 Sept →
vertigo9–130.0314%4 Sept →
vertigo11–13-0.0313%28 Aug →
vertigo13–70.059%27 Aug →
cache3–13-0.115%27 Aug →
cache13–1-0.0221%27 Aug →
dust216–14-0.0311%25 Aug →
cache11–13-0.0310%25 Aug →
mirage4–13-0.090%25 Aug →
cache12–120.0011%16 Aug →
anubis1–13-0.0414%16 Aug →
cache13–9-0.0021%16 Aug →
vertigo13–100.0912%16 Aug →
vertigo11–130.0116%10 Aug →
vertigo8–8-0.0019%10 Aug →
inferno8–8-0.0414%10 Aug →
inferno3–9-0.163%10 Aug →
vertigo9–5-0.0429%10 Aug →
vertigo9–7-0.0623%10 Aug →
vertigo9–6-0.0116%8 Aug →
inferno5–90.026%8 Aug →
nuke8–80.0215%8 Aug →
vertigo12–120.0214%8 Aug →
inferno12–12-0.0214%8 Aug →
eldorado8–80.0512%7 Aug →
poseidon2–9-0.2410%7 Aug →
vertigo5–9-0.0414%7 Aug →
boulder7–130.0410%5 Aug →
cache12–120.0110%5 Aug →
vertigo8–8-0.0613%5 Aug →
vertigo9–10.2722%5 Aug →
vertigo1–9-0.173%5 Aug →
cache13–7-0.0317%4 Aug →
vertigo13–90.089%4 Aug →
vertigo13–20.0611%4 Aug →
vertigo11–130.0210%3 Aug →
cache13–11-0.0211%3 Aug →
nuke10–13-0.0217%3 Aug →
cache13–60.0517%3 Aug →
vertigo13–90.0414%3 Aug →
cache7–13-0.1213%3 Aug →
inferno13–9-0.0110%2 Aug →
cache5–13-0.0413%2 Aug →
inferno13–11-0.037%1 Aug →
vertigo9–40.0919%31 Jul →
vertigo13–0-0.0313%31 Jul →
vertigo9–13-0.0411%31 Jul →
cache13–3-0.076%31 Jul →
boulder11–13-0.025%31 Jul →
vertigo9–13-0.0019%26 Jul →
cache7–13-0.0512%26 Jul →
cache8–13-0.069%26 Jul →
vertigo13–50.0818%26 Jul →
anubis10–130.046%26 Jul →
inferno14–16-0.0914%25 Jul →
anubis13–00.0360%25 Jul →
cache10–13-0.1211%25 Jul →
ancient11–30.0017%25 Jul →
cache13–100.0311%25 Jul →
poseidon9–50.1430%25 Jul →
debris4–90.0218%25 Jul →
nuke9–60.1118%25 Jul →
vertigo9–10.306%25 Jul →
inferno7–9-0.1311%25 Jul →
anubis13–40.006%24 Jul →
inferno15–15-0.0014%24 Jul →
vertigo8–8-0.035%21 Jul →
ancient13–6-0.0611%21 Jul →
mirage8–13-0.0210%21 Jul →
cache13–10-0.0713%20 Jul →
vertigo4–130.0117%19 Jul →
cache7–13-0.0312%19 Jul →
vertigo13–6-0.0415%19 Jul →
cache9–13-0.078%19 Jul →
cache9–130.0113%18 Jul →
inferno7–130.039%18 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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