Boosted Bocchi

Boosted Bocchi — CS2 Stats

SV76561199397931085[U:1:1437665357]Steam profile ↗✓ No bans

1,949Tracked matches60%Win rate2023Tracked since
1,568Hours in CS7Hrs last 2 wks
CSDB Rating4.7 DevelopingSupport
CSDB Leaderboard#23807 of 225657 tracked
FaceitLevel 3 · 920 ELOTop 90.6% of ranked FACEIT players
Ladder ranks via Leetify
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 39 days played since 25 Jun 2026. Come back after the next session and the change shows above.

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Rating over time

Premier CS Rating: 24,637 +6,667 28 Jul25 Aug · 13 days played
17,74124,637peak 24,63728 Jul25 Aug
24,637Peak Premier in tracked matches
920Highest Faceit ELO seen on CSDB
39Days played since 2026-06-25

Faceit ELO

  • At peak — 920
  • Next: Level 5 at 1,051 131 to go
  • Reached: Level 4 · Level 3 · Level 2

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 Level 3 among CSDB-tracked players (n=8,862), 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 3 medianLevel 4 medianvs Level 4
Headshot rate41.1%41.9%42.7%1.6% short
Shot accuracy4.1%12.2%11.2%7.2% short
Kill/death ratio0.930.981.000.07 short
Match win rate54.2%43.3%43.9%above

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

Widest gap: Shot accuracy. That is the metric furthest from the Level 4 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGBoosted BocchiFACEITLevel 3 · 920 ELOSTANDINGTop 90.6% of rankedPEAK ELO920csdb.gg/stats

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Performance scores

Aim54
Positioning41
Utility62

0–100 skill scores via Leetify.

Recent form

COLD59383Last 10059%Win rateLLLLLWLLLW

Last 10 vs previous 10: −70pp win rate · −0.04 avg rating · −6.8pp headshot accuracy · −4ms reaction

Win rate down 70pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 05 · 0% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 12%
  • Avg reaction 650ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 10%
  • Avg reaction 619ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 13%
  • Avg reaction 621ms

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: SupportUtility contribution stands above the rest of this profile (+2.6 against its own average).

Aim5.4
Utility6.2
Positioning4.1
Opening Duels0.0
Clutch4.0

Effective 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

Twistzz

Plays most like Twistzz 74% 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

Strengths

Flashes. 0.75 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 621ms 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

Aim5.4
Positioning4.1
Utility6.2
Mechanics6.7
Opening Duels0.0
Win Impact8.3

Composite 4.7/10 (Developing), 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 rating0.00−0.02
first ⅓ avg 0.02 → last ⅓ avg 0.00
Reaction time617ms−53ms
first ⅓ avg 670ms → last ⅓ avg 617ms
Headshot accuracy14.3%+2.0%
first ⅓ avg 12.3% → last ⅓ avg 14.3%

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 · 13–5 · ancient, 25 Jun
38%Best headshot accuracy · 13–9 · train, 9 Aug
406msFastest reaction time · 3–13 · office, 12 Sept
13–1Biggest win · ancient, 2 Sept

Across the last 100 tracked matches.

Highlights

9Longest win streak
L5Current streak
44In matches decided by ≤2 rounds
2Overtime games

Map breakdown

ancientBest map · 88% over 16nukeWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
infernoA1810856%0.03
anubisS1611569%-0.02
ancientS1614288%0.01
cacheA127558%0.01
mirageS107370%-0.00
dust2B84450%-0.02
nukeD71614%-0.01
officeD51420%-0.04
vertigoA53260%0.01
train21150%-0.03
italy1010%-0.07

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Lifetime stats

32,910Lifetime kills
0.93K/D
2,301Matches
54.2%Match win rate · Top 5% of Level 3 players
41.1%Headshot %
4.1%Shot accuracy
4,824MVPs
863Hours (in match)
2,310Bombs planted
976Bombs defused

Most-used weapons

Lifetime map wins

4,049dust2
3,857inferno
1,710vertigo
1,609nuke
949office
400train
80italy
10cbble

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

Faceit stats

Combat

13Matches
46%Win rate
1.08Avg K/D
96.6ADR
43%Headshot %

Clutches & streaks

40%1v1 clutch win
25%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage560%1.2012.4
Vertigo333%0.436.7
Inferno333%1.3718.0
Anubis10%0.9223.0
Ancient1100%1.7319.0

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.

13.7%Headshot accuracy
34.4%Accuracy (enemy spotted)
36.4%Spray accuracy
80.3%Counter-strafing
11.8°Preaim
621msReaction time
29.8%T opening success
23.6%CT opening success
0.75Enemies flashed / flash
7.2%Flash assists
10.49HE damage / grenade
8.99Flashes / 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 13.7179% — below the 15% mark we flag

    Aim Training
  2. 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 29.7817% — below the 40% mark we flag

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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis2–13-0.0511%13 Sept
office3–130.0123%12 Sept
nuke1–13-0.105%12 Sept
train6–13-0.077%12 Sept
vertigo4–13-0.0414%12 Sept
vertigo13–40.067%11 Sept
dust28–130.0213%9 Sept
office0–13-0.060%9 Sept
mirage9–13-0.048%6 Sept
ancient13–1-0.0512%2 Sept
anubis13–4-0.078%2 Sept
inferno13–20.0116%25 Aug
ancient13–11-0.0917%25 Aug
mirage13–8-0.0317%24 Aug
anubis10–00.0614%24 Aug
inferno13–10.0817%24 Aug
inferno13–10-0.0022%24 Aug
anubis13–1-0.0522%24 Aug
anubis7–130.0614%24 Aug
ancient13–70.0722%23 Aug
anubis13–10-0.019%23 Aug
inferno13–80.0414%23 Aug
ancient13–50.0410%23 Aug
anubis13–5-0.0216%23 Aug
cache6–130.0515%22 Aug
inferno6–130.1015%22 Aug
ancient8–13-0.0112%20 Aug
cache13–50.0922%20 Aug
ancient13–40.0118%18 Aug
cache13–9-0.018%18 Aug
inferno13–40.0524%18 Aug
cache13–7-0.0324%17 Aug
anubis11–130.0117%17 Aug
inferno9–13-0.0614%17 Aug
ancient13–7-0.0617%17 Aug
dust213–9-0.0620%16 Aug
inferno9–13-0.0116%16 Aug
anubis13–9-0.0110%16 Aug
ancient13–70.0220%16 Aug
anubis13–3-0.0523%16 Aug
mirage13–8-0.0711%16 Aug
italy12–12-0.0723%16 Aug
ancient10–13-0.034%16 Aug
cache13–10.078%15 Aug
anubis10–13-0.0012%15 Aug
cache11–130.0317%15 Aug
ancient13–10-0.0610%15 Aug
inferno13–30.0312%14 Aug
anubis9–13-0.0220%13 Aug
inferno13–90.036%10 Aug
mirage10–13-0.0212%10 Aug
inferno13–60.0811%10 Aug
inferno6–130.0110%10 Aug
anubis13–6-0.0612%10 Aug
nuke3–80.0413%9 Aug
inferno3–13-0.0621%9 Aug
dust213–80.0316%9 Aug
vertigo13–6-0.0611%9 Aug
train13–90.0038%9 Aug
office4–0-0.090%9 Aug
cache7–13-0.0210%6 Aug
anubis13–9-0.0910%6 Aug
office11–13-0.0715%6 Aug
nuke10–130.0419%6 Aug
dust23–13-0.0814%6 Aug
office7–13-0.0117%6 Aug
nuke10–13-0.073%5 Aug
ancient13–5-0.0110%3 Aug
mirage13–100.047%1 Aug
inferno9–130.0416%30 Jul
nuke3–130.0114%30 Jul
inferno9–40.1311%29 Jul
vertigo8–130.0313%29 Jul
dust213–110.0417%28 Jul
ancient13–10-0.046%28 Jul
ancient13–90.0812%27 Jul
anubis13–6-0.016%27 Jul
cache5–130.0029%27 Jul
inferno15–15-0.0119%24 Jul
anubis13–3-0.0015%24 Jul
dust22–13-0.0914%24 Jul
mirage3–13-0.0011%23 Jul
dust28–130.028%22 Jul
nuke15–15-0.0217%22 Jul
cache13–9-0.017%20 Jul
dust213–10-0.0215%20 Jul
mirage13–110.0519%18 Jul
mirage13–9-0.0110%16 Jul
mirage13–8-0.0114%16 Jul
cache13–100.0116%9 Jul
vertigo13–100.064%7 Jul
ancient13–110.0015%1 Jul
cache8–13-0.038%1 Jul
cache13–5-0.0217%30 Jun
nuke13–6-0.014%30 Jun
inferno11–130.0812%26 Jun
ancient13–40.0410%26 Jun
ancient13–50.1713%25 Jun
mirage13–60.049%25 Jun
inferno13–60.049%25 Jun

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 →