♥BoBo♥

♥BoBo♥ — CS2 Stats

FI76561198877006580[U:1:916740852]Steam profile ↗✓ No bans

1,876Tracked matches33%Win rate2020Tracked since
3,075Hours in CS21Hrs last 2 wks
CSDB Rating5.2 DevelopingSupport
Premier CS Rating24,877Top 25% of 204,793 CSDB-tracked playersPink band · top ~3.1% of ranked players (population est.)
CSDB Leaderboard#23703 of 251937 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 13 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: 24,877 -22 25 Mar – 13 Oct · 26 days played
22,73925,113peak 25,11325 Mar13 Oct
25,113Peak Premier in tracked matches
43Days played since 2026-03-25

Premier CS Rating

  • 236 below peak (25,113)
  • +1,312 over 30 days · improving
  • Next: Red band at 25,000 — 123 to go
  • Reached: Red band · Pink band · Purple band · Blue band

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 8 among CSDB-tracked players (n=15,030), 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 rate35.8%46.8%48.2%12.4% short
Shot accuracy12.4%13.0%13.3%0.9% short
Kill/death ratio1.071.061.07meets
Match win rate41.9%46.3%46.9%5.1% short

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

Widest gap: Headshot rate. 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.GG♥BoBo♥FACEITLevel 8STANDINGTop 31.2% of rankedPREMIER24,877 · 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

Aim70
Positioning53
Utility56

0–100 skill scores via Leetify.

Recent form

COLD38–62Last 10038%Win rateLWWWLLLLLL

Last 10 vs previous 10: −10pp win rate · +0.03 avg rating · +5.2pp headshot accuracy · +52ms 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 0.01
  • Avg headshot accuracy 18%
  • Avg reaction 541ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 18%
  • Avg reaction 527ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 15%
  • Avg reaction 501ms

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: Support — Utility contribution stands above the rest of this profile (+1.3 against its own average).

Aim7.0
Utility5.6
Positioning5.3
Opening Duels2.1
Clutch4.0

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 93% 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

Aim7.0
Positioning5.3
Utility5.6
Mechanics5.1
Opening Duels3.2
Win Impact0.0

Composite 5.2/10 (Developing), 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 rating-0.00−0.01
first ⅓ avg 0.00 → last ⅓ avg -0.00
Reaction time498ms−53ms
first ⅓ avg 550ms → last ⅓ avg 498ms
Headshot accuracy15.7%−3.7%
first ⅓ avg 19.4% → last ⅓ avg 15.7%

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

0.12Best match rating · 13–7 · ancient, 6 May →
58%Best headshot accuracy · 7–0 · cache, 21 Jul →
273msFastest reaction time · 5–13 · nuke, 4 Oct →
13–1Biggest win · nuke, 22 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
6–10In matches decided by ≤2 rounds
8Overtime games

Map breakdown

dust2Best map · 60% over 5infernoWeakest map · 0% over 5
MapGradePlayedRecordWin rateAvg rating
nukeC3214–1844%0.01
ancientC239–1439%0.00
cacheD155–1033%-0.00
mirageD93–633%0.01
infernoD50–50%-0.02
dust2A53–260%0.02
overpassD51–420%-0.02
anubis—41–325%-0.01
vertigo—22–0100%0.01

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (0% over 5). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Lifetime stats

96,974Lifetime kills
1.07K/D · Top 50% of Level 8 players
4,977Matches
41.9%Match win rate
35.8%Headshot %
12.4%Shot accuracy
9,529MVPs
1,846Hours (in match)
4,647Bombs planted
1,239Bombs defused

Most-used weapons

AK-4728,529
AWP16,232
AUG3,570
P903,169
MP92,318
MAC-102,254

Lifetime map wins

12,057nuke
3,787train
3,503inferno
2,743vertigo
1,237dust2
239lake
225cbble
81safehouse

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

Faceit stats

Combat

464Matches
53%Win rate
1.00Avg K/D
73.1ADR
42%Headshot %

Clutches & streaks

40%1v1 clutch win
19%1v2 clutch win
13Longest win streak

Recent Faceit resultsWLLLW

MapMatchesWin rateAvg K/DAvg kills
Nuke9565%1.0414.5
Ancient9258%0.9814.2
Mirage6248%1.0014.6
Vertigo4751%0.9914.5
Anubis2825%0.8613.6
Train1573%1.2115.3
Inferno1540%0.9512.9
Overpass1050%1.1014.4

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.

15.4%Headshot accuracy
34.6%Accuracy (enemy spotted)
38.3%Spray accuracy
73.1%Counter-strafing
10.0°Preaim
497msReaction time
46.2%T opening success
39.7%CT opening success
0.48Enemies flashed / flash
2.2%Flash assists
9.95HE damage / grenade
8.35Flashes / 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. 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 0.4761 — below the 0.5 mark we flag

    Grenade Lineups →
  2. Advanced Mechanics

    Losing the first CT duel repeatedly usually means holding angles that favour the peeker.

    CT opening duels 39.7256% — 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.

0% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategy →Inferno grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno7–13-0.0120%13 Oct →
nuke13–110.0020%13 Oct →
cache13–90.0421%13 Oct →
nuke13–11-0.0411%12 Oct →
nuke13–160.0416%12 Oct →
dust21–130.009%12 Oct →
mirage2–13-0.058%12 Oct →
inferno7–130.0331%8 Oct →
nuke9–130.0026%8 Oct →
cache7–13-0.0214%8 Oct →
ancient4–13-0.090%6 Oct →
nuke7–130.0116%6 Oct →
nuke7–13-0.0111%6 Oct →
ancient13–10-0.0116%5 Oct →
nuke13–100.0012%5 Oct →
cache7–13-0.0218%5 Oct →
dust213–8-0.0124%4 Oct →
ancient13–10-0.019%4 Oct →
nuke5–13-0.025%4 Oct →
nuke5–13-0.0915%4 Oct →
nuke13–160.039%4 Oct →
nuke13–70.0220%4 Oct →
mirage5–13-0.0419%3 Oct →
dust213–100.0113%3 Oct →
nuke13–30.0521%3 Oct →
nuke6–130.0312%3 Oct →
ancient3–13-0.0110%3 Oct →
nuke13–160.0213%3 Oct →
inferno8–13-0.0326%28 Sept →
cache8–130.0014%23 Sept →
dust216–140.0217%23 Sept →
dust26–130.0817%23 Sept →
cache13–9-0.0624%22 Sept →
ancient14–160.0011%20 Sept →
nuke13–50.0918%20 Sept →
ancient13–9-0.0312%16 Sept →
ancient16–13-0.0518%16 Sept →
cache7–130.0116%16 Sept →
nuke13–10.0517%22 Aug →
ancient13–70.0317%19 Aug →
cache6–13-0.0013%13 Aug →
nuke7–13-0.0122%12 Aug →
cache2–13-0.0511%10 Aug →
ancient0–13-0.0621%10 Aug →
ancient5–130.0521%5 Aug →
nuke7–13-0.0711%2 Aug →
vertigo13–30.0110%30 Jul →
vertigo13–11-0.0012%30 Jul →
nuke4–130.0620%30 Jul →
nuke13–100.0917%26 Jul →
cache13–100.1022%23 Jul →
ancient13–7-0.0411%23 Jul →
mirage13–20.0613%23 Jul →
nuke11–13-0.0011%22 Jul →
cache4–13-0.0727%22 Jul →
ancient5–13-0.0118%22 Jul →
ancient1–110.085%21 Jul →
cache7–00.0858%21 Jul →
mirage13–40.1115%21 Jul →
inferno3–13-0.0426%20 Jul →
nuke13–50.0711%20 Jul →
mirage11–130.0519%15 Jun →
overpass5–13-0.059%15 Jun →
ancient13–70.0320%31 May →
anubis13–10.027%31 May →
nuke13–80.0412%27 May →
overpass9–130.0215%27 May →
nuke14–160.0218%26 May →
nuke13–60.0926%7 May →
cache5–13-0.0432%6 May →
ancient13–70.1225%6 May →
anubis6–13-0.0411%6 May →
inferno10–13-0.0238%5 May →
cache11–130.0214%5 May →
nuke8–130.0217%29 Apr →
cache13–10-0.0225%29 Apr →
cache6–13-0.018%29 Apr →
mirage13–110.0223%28 Apr →
anubis10–130.0114%28 Apr →
overpass11–13-0.0524%26 Apr →
nuke13–50.1031%26 Apr →
nuke4–13-0.058%26 Apr →
overpass11–13-0.0217%23 Apr →
ancient6–130.0321%23 Apr →
ancient2–13-0.0028%20 Apr →
ancient11–13-0.0227%20 Apr →
nuke7–13-0.1014%15 Apr →
mirage11–130.0310%15 Apr →
overpass13–70.019%14 Apr →
ancient5–130.0212%14 Apr →
nuke13–110.0215%14 Apr →
anubis14–16-0.0119%31 Mar →
mirage5–13-0.0531%31 Mar →
ancient8–130.0118%29 Mar →
nuke13–60.0225%29 Mar →
nuke4–13-0.0228%26 Mar →
ancient4–13-0.0314%26 Mar →
ancient13–20.038%25 Mar →
ancient2–13-0.0222%25 Mar →
mirage3–13-0.039%25 Mar →

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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