BonBonita

BonBonita — CS2 Stats

76561198447241888[U:1:486976160]Steam profile ↗✓ No bans

2,227Tracked matches43%Win rate2020Tracked since
CSDB Rating5.8 SolidSupport
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 26 Sep 2026 (42 days ago). Ranks are recorded once per day this page is viewed.

+15Tracked matches · now 2,227
−12.7ppWin rate · 55.6% → 42.9%

Rating over time

53Days played since 2026-04-23

Premier is CSDB’s own observation — it builds from the day a profile is first viewed and cannot be backfilled.

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CSDB.GGBonBonitaFACEITLevel 3STANDINGTop 90.6% of rankedcsdb.gg/stats

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Performance scores

Aim83
Positioning43
Utility67

0–100 skill scores via Leetify.

Recent form

COLD36–54–10Last 10036%Win rateLWLLLLWLWL

Last 10 vs previous 10: −10pp win rate · +0.04 avg rating · −4.0pp headshot accuracy · −81ms 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

  • 1–4 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 8%
  • Avg reaction 475ms

Last 10

  • 3–7 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 10%
  • Avg reaction 485ms

Last 20

  • 7–13 · 35% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 12%
  • Avg reaction 526ms

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 (+3.6 against its own average).

Aim8.3
Utility6.7
Positioning4.3
Opening Duels1.4
Clutch0.0

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 81% playstyle similarity

Most alike: utility contribution, aim profile.

Where you differ: lower positioning profile; lower opening-duel success.

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

Positioning. Positioning trails aim by 41 points — deaths here waste a strong aim profile.

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
Positioning4.3
Utility6.7
Mechanics7.5
Opening Duels1.0
Win Impact2.6

Composite 5.8/10 (Solid), 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-0.02−0.02
first ⅓ avg 0.00 → last ⅓ avg -0.02
Reaction time532ms−43ms
first ⅓ avg 575ms → last ⅓ avg 532ms
Headshot accuracy13.9%−1.3%
first ⅓ avg 15.1% → last ⅓ avg 13.9%

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 · 9–2 · vertigo, 26 Apr →
70%Best headshot accuracy · 11–2 · cache, 12 May →
391msFastest reaction time · 13–9 · inferno, 24 Oct →
13–3Biggest win · inferno, 17 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 80% over 10cacheWeakest map · 18% over 17
MapGradePlayedRecordWin rateAvg rating
dust2D226–1627%0.01
cacheD173–1418%-0.01
mirageD133–1023%0.01
nukeB136–746%0.01
infernoS108–280%-0.01
ancientD93–633%-0.01
anubisC83–538%-0.01
train—32–167%-0.01
vertigo—21–150%0.19
sanctum—11–0100%0.09
poseidon—10–10%-0.09
overpass—10–10%-0.03

Across the last 100 tracked matches.

Faceit stats

Combat

93Matches
51%Win rate
1.00Avg K/D
97.4ADR
28%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWL

MapMatchesWin rateAvg K/DAvg kills
Anubis1100%0.8214.0
Nuke10%0.8012.0

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.

13.1%Headshot accuracy
40.2%Accuracy (enemy spotted)
45.5%Spray accuracy
83.8%Counter-strafing
9.6°Preaim
535msReaction time
38.0%T opening success
29.4%CT opening success
0.67Enemies flashed / flash
7.9%Flash assists
8.06HE damage / grenade
15.00Flashes / 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 13.0916% — 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 38.0074% — below the 40% mark we flag

Spend your practice time on Cache

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

18% win rate across 17 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
anubis10–13-0.014%28 Oct →
inferno13–9-0.085%28 Oct →
mirage11–13-0.038%28 Oct →
dust27–13-0.0110%25 Oct →
anubis11–13-0.0314%25 Oct →
mirage10–130.0715%24 Oct →
inferno13–9-0.0213%24 Oct →
mirage11–130.0316%17 Oct →
inferno13–30.055%17 Oct →
nuke8–130.0413%16 Oct →
cache7–13-0.0816%16 Oct →
dust24–130.023%7 Oct →
dust25–13-0.0311%7 Oct →
anubis6–13-0.0612%1 Oct →
mirage8–13-0.0110%1 Oct →
ancient13–9-0.0421%19 Sept →
dust213–7-0.048%19 Sept →
nuke5–13-0.0313%19 Sept →
inferno13–9-0.0622%19 Sept →
nuke13–6-0.0227%15 Sept →
cache13–8-0.0717%15 Sept →
dust27–5-0.039%15 Sept →
anubis13–8-0.0515%15 Sept →
mirage12–12-0.0320%12 Sept →
inferno13–40.0711%12 Sept →
cache12–12-0.026%12 Sept →
dust26–13-0.0518%11 Sept →
train13–100.0416%11 Sept →
anubis13–16-0.0316%6 Sept →
nuke6–13-0.0914%5 Sept →
mirage10–130.0424%5 Sept →
inferno8–13-0.0825%3 Sept →
dust28–13-0.0322%3 Sept →
cache12–12-0.0214%2 Sept →
ancient6–13-0.027%29 Aug →
dust213–70.0312%29 Aug →
train13–9-0.022%29 Aug →
mirage13–80.0810%29 Aug →
nuke13–110.048%29 Aug →
dust25–13-0.0128%29 Aug →
inferno6–13-0.057%28 Aug →
cache6–13-0.0216%28 Aug →
nuke13–80.037%27 Aug →
anubis10–20.090%27 Aug →
ancient4–13-0.1243%23 Aug →
dust210–130.0322%23 Aug →
dust213–50.0512%20 Aug →
nuke9–130.0312%13 Aug →
dust211–130.0511%13 Aug →
nuke3–0-0.050%13 Aug →
dust28–130.0621%12 Aug →
anubis13–100.0822%11 Aug →
inferno13–11-0.035%11 Aug →
dust28–130.0127%10 Aug →
cache8–13-0.0216%1 Aug →
mirage13–90.0512%1 Aug →
ancient3–13-0.019%1 Aug →
train9–13-0.056%1 Aug →
nuke13–70.1117%1 Aug →
mirage2–13-0.0515%30 Jul →
ancient13–80.077%25 Jul →
mirage12–120.0413%25 Jul →
dust213–110.1719%13 Jul →
vertigo8–80.0813%3 Jul →
nuke13–40.139%2 Jul →
nuke2–13-0.022%27 Jun →
cache4–13-0.0222%25 Jun →
dust29–13-0.0118%25 Jun →
ancient13–50.038%24 Jun →
dust22–130.0215%21 Jun →
inferno9–7-0.0320%12 Jun →
anubis5–13-0.0212%30 May →
cache6–13-0.0620%27 May →
ancient8–13-0.0127%26 May →
dust24–13-0.070%25 May →
cache7–130.017%25 May →
mirage13–8-0.0113%24 May →
nuke12–12-0.0218%23 May →
dust26–130.0122%23 May →
sanctum9–70.0911%21 May →
poseidon8–8-0.0915%21 May →
ancient9–13-0.019%21 May →
nuke10–13-0.0518%18 May →
dust27–130.0320%18 May →
mirage11–13-0.0310%17 May →
ancient6–130.0011%12 May →
cache11–2-0.0270%12 May →
dust29–50.030%12 May →
cache8–130.037%11 May →
cache11–13-0.065%5 May →
cache10–13-0.049%5 May →
cache12–12-0.0114%4 May →
cache13–40.1018%2 May →
cache3–130.0229%2 May →
inferno13–40.119%30 Apr →
cache12–120.0116%30 Apr →
dust29–13-0.0812%29 Apr →
mirage9–13-0.0317%26 Apr →
vertigo9–20.3012%26 Apr →
overpass12–12-0.0310%23 Apr →

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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