Bunio

Bunio — CS2 Stats

76561198235285108[U:1:275019380]Steam profile ↗✓ No bans

1,045Tracked matches50%Win rate2020Tracked since
CSDB Rating4.7 DevelopingSupport
Premier CS Rating16,614Purple band · top ~22% of ranked players (population est.)
CSDB Leaderboard#17555 of 30996 tracked
FaceitLevel 3Top 90.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGBunioFACEITLevel 3STANDINGTop 90.6% of rankedPREMIER16,614 · Purple bandcsdb.gg/stats

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Performance scores

Aim50
Positioning34
Utility75

0–100 skill scores via Leetify.

Recent form

STEADY53425Last 10053%Win rateWLLWLWWLLW

Last 10 vs previous 10: +10pp win rate · +0.02 avg rating

Player DNA

Primary style: SupportUtility contribution leads the profile while opening activity stays low.

Aim5.0
Aggression3.6
Utility7.5
Positioning3.4
Opening Duels0.2

Effective flashesHigh utility contribution

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 78% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

Reaction time. 615ms 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

Aim5.0
Positioning3.4
Utility7.5
Mechanics5.4
Opening Duels0.4
Win Impact5.0

Composite 4.7/10 (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-0.02−0.01
first ⅓ avg -0.02 → last ⅓ avg -0.02
Reaction time630ms−40ms
first ⅓ avg 670ms → last ⅓ avg 630ms
Headshot accuracy13.2%+1.1%
first ⅓ avg 12.1% → last ⅓ avg 13.2%

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.

Highlights

0.20Best rating — nuke 13–3
130Biggest win — inferno
8Longest win streak
85In matches decided by ≤2 rounds
13Overtime games

Map breakdown

nukeBest map · 71% over 7infernoWeakest map · 42% over 31
MapGradePlayedRecordWin rateAvg rating
infernoC31131842%-0.02
anubisS2013765%-0.01
ancientA148657%-0.01
dust2A106460%-0.00
overpassA85363%-0.02
mirageC73443%-0.04
nukeS75271%0.03
cache3030%-0.06

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 31). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

63Matches
51%Win rate
0.77Avg K/D
ADR
27%Headshot %

Clutches & streaks

1v1 clutch win
1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLLL

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.

13.4%Headshot accuracy
33.5%Accuracy (enemy spotted)
39.8%Spray accuracy
74.2%Counter-strafing
11.9°Preaim
615msReaction time
33.3%T opening success
28.2%CT opening success
0.72Enemies flashed / flash
6.6%Flash assists
14.16HE damage / grenade
11.93Flashes / 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 13.3697% — 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 33.2786% — 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.

42% win rate across 31 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–10-0.0021%28 Aug
inferno11–13-0.0210%22 Aug
ancient12–16-0.0815%22 Aug
mirage13–80.0313%21 Aug
inferno0–6-0.0417%21 Aug
nuke16–14-0.0214%11 Aug
ancient8–00.027%11 Aug
cache4–13-0.048%11 Aug
inferno11–13-0.0314%8 Aug
anubis13–10-0.0315%2 Aug
anubis13–9-0.0210%2 Aug
cache3–13-0.1016%2 Aug
mirage13–8-0.015%2 Aug
nuke9–130.0015%2 Aug
inferno13–10-0.0518%1 Aug
inferno10–13-0.0813%1 Aug
inferno9–13-0.059%29 Jul
anubis10–13-0.0414%29 Jul
mirage4–13-0.1333%28 Jul
inferno13–50.0332%28 Jul
anubis13–40.0323%28 Jul
anubis13–70.036%20 Jul
dust213–60.0618%20 Jul
ancient11–13-0.026%16 Jul
cache7–13-0.035%16 Jul
inferno13–11-0.057%13 Jul
inferno3–13-0.0215%13 Jul
inferno13–80.106%12 Jul
nuke13–7-0.0311%12 Jul
mirage6–13-0.0714%5 Jul
ancient13–16-0.056%5 Jul
mirage13–50.0315%4 Jul
inferno9–13-0.048%4 Jul
inferno3–13-0.0517%29 May
dust213–60.0520%28 May
ancient13–5-0.0021%26 May
anubis10–13-0.0414%25 May
inferno13–7-0.014%20 May
inferno9–13-0.103%12 May
dust215–15-0.015%5 May
anubis13–7-0.0212%5 May
inferno7–13-0.0712%4 May
dust215–15-0.026%30 Apr
dust213–4-0.0211%30 Apr
dust213–60.0014%29 Apr
dust26–13-0.0215%28 Apr
inferno10–13-0.082%28 Apr
inferno13–11-0.0210%25 Apr
nuke13–11-0.028%25 Apr
anubis13–10-0.0312%24 Apr
inferno11–130.0011%23 Apr
inferno2–13-0.0426%20 Apr
anubis13–50.089%20 Apr
overpass13–9-0.0212%17 Apr
overpass13–4-0.026%16 Apr
ancient13–7-0.009%16 Apr
nuke13–50.106%13 Apr
inferno13–00.1513%13 Apr
anubis7–13-0.0624%8 Apr
dust213–7-0.0111%8 Apr
anubis14–160.0114%8 Apr
ancient15–15-0.055%7 Apr
inferno13–11-0.036%5 Apr
overpass13–16-0.0510%5 Apr
overpass13–9-0.056%1 Apr
inferno15–15-0.0116%1 Apr
inferno13–20.0512%1 Apr
ancient9–13-0.074%31 Mar
inferno6–13-0.0218%28 Mar
anubis13–11-0.0113%28 Mar
anubis9–13-0.095%27 Mar
inferno13–8-0.118%27 Mar
ancient13–7-0.0114%26 Mar
anubis13–30.028%26 Mar
mirage0–13-0.059%26 Mar
nuke5–13-0.0510%24 Mar
inferno4–13-0.0621%24 Mar
ancient13–40.049%24 Mar
overpass13–40.0915%23 Mar
inferno15–15-0.028%22 Mar
anubis5–13-0.047%22 Mar
inferno16–120.0116%22 Mar
inferno13–100.027%21 Mar
ancient13–110.009%20 Mar
ancient13–100.0017%20 Mar
overpass13–100.0133%20 Mar
anubis13–30.018%18 Mar
nuke13–30.2014%17 Mar
anubis13–8-0.0118%17 Mar
ancient9–130.0210%16 Mar
ancient13–50.003%12 Mar
overpass10–13-0.057%10 Mar
inferno9–13-0.0318%10 Mar
dust28–13-0.078%8 Mar
mirage7–13-0.0515%8 Mar
dust213–9-0.0118%7 Mar
anubis16–14-0.0214%7 Mar
overpass6–13-0.0913%6 Mar
anubis13–16-0.0610%6 Mar
inferno13–10-0.0213%5 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 →