bonbelge

bonbelge — CS2 Stats

76561198007135825[U:1:46870097]Steam profile ↗

1,235Tracked matches71%Win rate2020Tracked since
CSDB Rating4.2 DevelopingClutch Specialist
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGbonbelgeFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim27
Positioning49
Utility48

0–100 skill scores via Leetify.

Recent form

STEADY52435Last 10052%Win rateLLWTLWWWWW

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion well above par.

Aim2.7
Aggression5.4
Utility4.8
Positioning4.9
Opening Duels1.0
Clutch9.6

Reliable in 1v1s

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, opening-duel success.

Where you differ: lower utility contribution; 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. 631ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 66% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.7
Positioning4.9
Utility4.8
Mechanics3.7
Opening Duels1.0
Win Impact10.0

Composite 4.2/10 (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 rating0.00+0.00
first ⅓ avg 0.00 → last ⅓ avg 0.00
Reaction time640ms−47ms
first ⅓ avg 687ms → last ⅓ avg 640ms
Headshot accuracy10.8%−3.2%
first ⅓ avg 14.0% → last ⅓ avg 10.8%

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

0.13Best rating — ancient 13–8
130Biggest win — ancient
8Longest win streak
L2Current streak
613In matches decided by ≤2 rounds
8Overtime games

Map breakdown

anubisBest map · 60% over 5infernoWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
nukeB20101050%0.00
mirageA2011955%-0.01
cacheB1991047%-0.00
ancientA127558%0.03
dust2A116555%-0.02
overpassA74357%0.02
infernoD62433%0.00
anubisA53260%-0.01

Across the last 100 tracked matches.

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

Faceit stats

Combat

91Matches
52%Win rate
0.77Avg K/D
63.4ADR
39%Headshot %

Clutches & streaks

68%1v1 clutch win
15%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage3259%0.7611.2
Inferno1741%0.7410.9
Dust21354%0.9412.1
Ancient838%0.8013.3
Vertigo333%1.0712.7
Anubis367%0.699.7
Overpass250%0.8212.0
Train250%0.7611.0

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.

11.1%Headshot accuracy
29.3%Accuracy (enemy spotted)
30.1%Spray accuracy
66.5%Counter-strafing
11.5°Preaim
631msReaction time
36.5%T opening success
31.4%CT opening success
0.60Enemies flashed / flash
7.0%Flash assists
8.16HE damage / grenade
10.44Flashes / 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 11.1063% — 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 36.4582% — 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 6 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
cache11–13-0.0619%14 Aug
nuke11–13-0.068%2 Aug
mirage13–5-0.029%31 Jul
dust215–15-0.0311%13 Jul
mirage11–13-0.0810%13 Jul
dust213–11-0.0314%13 Jul
cache13–10-0.0411%13 Jul
inferno13–80.0515%12 Jul
ancient13–00.0610%3 Jul
mirage13–11-0.059%3 Jul
mirage13–60.0710%1 Jul
nuke13–100.118%1 Jul
nuke13–4-0.0513%1 Jul
mirage7–13-0.083%25 Jun
nuke15–15-0.0113%24 Jun
overpass13–60.0410%24 Jun
dust213–16-0.0214%24 Jun
anubis13–5-0.039%24 Jun
mirage13–90.0517%24 Jun
dust210–13-0.0112%24 Jun
ancient13–80.139%23 Jun
nuke13–40.027%23 Jun
ancient13–70.018%23 Jun
nuke11–8-0.058%20 Jun
ancient13–10.1116%20 Jun
nuke6–13-0.0013%19 Jun
mirage11–130.069%18 Jun
dust213–9-0.0216%15 Jun
mirage9–4-0.010%15 Jun
dust213–50.0120%15 Jun
dust213–7-0.048%12 Jun
dust213–40.0616%12 Jun
nuke10–13-0.026%12 Jun
mirage9–13-0.079%10 Jun
mirage11–13-0.0411%6 Jun
overpass10–130.0512%5 Jun
mirage13–70.1020%4 Jun
nuke9–13-0.0113%27 May
nuke13–6-0.0513%25 May
overpass2–13-0.0216%25 May
anubis13–30.0017%25 May
inferno7–130.0110%17 May
nuke8–130.0223%17 May
dust28–12-0.074%15 May
mirage11–130.019%15 May
anubis13–60.0012%15 May
overpass16–13-0.0114%15 May
nuke13–30.0425%14 May
mirage13–11-0.0214%14 May
nuke6–13-0.0310%13 May
anubis11–13-0.049%13 May
dust215–15-0.0812%10 May
cache13–30.0213%10 May
cache7–13-0.0515%8 May
cache7–13-0.0515%4 May
cache9–130.059%4 May
cache12–12-0.0011%4 May
cache1–90.0716%3 May
cache8–13-0.0617%3 May
cache13–100.008%3 May
cache8–13-0.057%3 May
cache8–130.047%3 May
cache13–11-0.029%2 May
cache13–50.0515%1 May
cache11–10.058%1 May
cache13–5-0.018%1 May
cache13–70.018%1 May
cache13–70.0510%30 Apr
cache11–13-0.059%30 Apr
mirage10–13-0.0412%29 Apr
overpass11–13-0.0316%24 Apr
inferno14–16-0.0114%24 Apr
ancient13–11-0.0216%22 Apr
ancient9–130.0114%21 Apr
overpass13–70.0220%20 Apr
anubis15–15-0.019%18 Apr
overpass13–00.1116%18 Apr
ancient6–130.035%18 Apr
mirage7–1-0.016%18 Apr
dust28–3-0.0512%17 Apr
mirage5–13-0.0514%17 Apr
inferno16–14-0.0415%17 Apr
inferno11–13-0.0116%16 Apr
nuke13–50.0320%16 Apr
mirage13–5-0.0116%15 Apr
mirage13–70.0020%15 Apr
nuke13–9-0.048%14 Apr
nuke13–20.076%14 Apr
ancient11–13-0.0521%14 Apr
nuke13–30.0311%14 Apr
nuke6–13-0.0415%14 Apr
ancient10–13-0.0416%13 Apr
ancient13–100.1019%13 Apr
nuke8–130.0813%12 Apr
ancient7–13-0.0111%9 Apr
ancient13–9-0.0212%7 Apr
mirage13–100.0419%6 Apr
nuke5–130.0117%6 Apr
mirage11–13-0.0212%6 Apr
inferno8–13-0.0025%6 Apr

Match data via Leetify.

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →