GhostBong — CS2 Stats

76561198010871411[U:1:50605683]✓ No bans

1,042Tracked matches37%Win rate2021Tracked since
CSDB Rating2.7 Learning
Premier CS Rating13,145Blue band · top ~38.2% of ranked players (population est.)
CSDB Leaderboard#26968 of 40571 tracked
Ladder ranks via Leetify

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CSDB.GGGhostBongPREMIER13,145 · Blue bandcsdb.gg/stats

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Performance scores

Aim31
Positioning27
Utility46

0–100 skill scores via Leetify.

Recent form

STEADY46504Last 10046%Win rateWLLWWLLLLW

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

Player DNA

Aim3.1
Aggression0.0
Utility4.6
Positioning2.7
Opening Duels0.0
Clutch6.2

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 60% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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. 0.76 enemies blinded per flash — utility that consistently lands.

Areas to improve

T-side openings. Opening success drops from 33% on CT to 14% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 615ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 67% 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

Aim3.1
Positioning2.7
Utility4.6
Mechanics3.7
Opening Duels0.4
Win Impact0.6

Composite 2.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.00
first ⅓ avg -0.03 → last ⅓ avg -0.03
Reaction time621ms−101ms
first ⅓ avg 722ms → last ⅓ avg 621ms
Headshot accuracy12.6%−1.3%
first ⅓ avg 13.9% → last ⅓ avg 12.6%

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

0.08Best rating — dust2 13–6
133Biggest win — mirage
5Longest win streak
1112In matches decided by ≤2 rounds
7Overtime games

Map breakdown

ancientBest map · 58% over 12infernoWeakest map · 20% over 10
MapGradePlayedRecordWin rateAvg rating
mirageB32161650%-0.03
dust2A31171455%-0.02
ancientA127558%-0.02
infernoD102820%-0.03
cacheD93633%-0.05
nuke3030%-0.06
anubis21150%-0.00
overpass1010%-0.00

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (20% over 10). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

63Matches
41%Win rate
0.76Avg K/D
56.7ADR
41%Headshot %

Clutches & streaks

51%1v1 clutch win
14%1v2 clutch win
4Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage2348%0.8110.7
Dust21443%0.6911.0
Ancient1225%0.8413.8
Inferno1250%0.7110.3
Overpass20%0.407.0

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.

13.0%Headshot accuracy
27.3%Accuracy (enemy spotted)
27.7%Spray accuracy
66.5%Counter-strafing
9.9°Preaim
615msReaction time
13.5%T opening success
33.0%CT opening success
0.76Enemies flashed / flash
6.3%Flash assists
5.57HE damage / grenade
5.01Flashes / 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 13.045% — 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 13.5478% — 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.

20% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient13–11-0.0615%28 Aug
inferno10–13-0.0419%28 Aug
mirage6–130.0319%28 Aug
dust213–60.0812%28 Aug
anubis13–11-0.0213%25 Aug
mirage7–13-0.047%24 Aug
nuke11–13-0.0718%24 Aug
inferno2–13-0.086%24 Aug
mirage9–13-0.0510%24 Aug
dust213–50.0316%13 Aug
mirage8–13-0.067%13 Aug
mirage9–13-0.097%13 Aug
inferno13–60.0330%13 Aug
mirage3–13-0.096%13 Aug
mirage11–13-0.0810%13 Aug
dust27–13-0.079%13 Aug
dust214–16-0.0516%13 Aug
ancient16–130.0216%13 Aug
mirage13–11-0.0219%13 Aug
ancient14–16-0.0310%12 Aug
anubis6–130.0110%12 Aug
inferno2–13-0.0619%12 Aug
dust26–13-0.0522%12 Aug
mirage16–13-0.0219%12 Aug
cache3–13-0.0512%12 Aug
dust211–13-0.0313%11 Aug
ancient13–10-0.044%11 Aug
dust23–13-0.110%11 Aug
mirage13–40.024%11 Aug
mirage13–110.0116%11 Aug
mirage16–140.0010%6 Aug
dust213–10-0.0111%6 Aug
cache13–8-0.0412%6 Aug
cache7–130.0311%6 Aug
dust210–13-0.0113%5 Aug
ancient3–13-0.0119%5 Aug
mirage13–11-0.0010%31 Jul
dust213–6-0.0710%31 Jul
inferno6–13-0.0823%31 Jul
mirage15–15-0.088%13 Jul
dust213–11-0.0221%13 Jul
mirage13–3-0.068%13 Jul
dust213–90.048%5 Jul
dust210–13-0.018%5 Jul
inferno2–13-0.0712%1 Jul
dust213–7-0.0213%1 Jul
mirage13–9-0.0622%27 Jun
mirage13–10-0.0514%27 Jun
dust24–13-0.029%27 Jun
mirage13–80.0120%26 Jun
mirage11–13-0.0616%31 May
dust213–11-0.0516%31 May
dust27–13-0.0415%31 May
ancient13–16-0.0810%31 May
ancient13–9-0.0617%28 May
dust211–13-0.0413%28 May
mirage12–12-0.0615%28 May
dust213–30.0016%27 May
mirage13–5-0.0321%27 May
ancient8–130.0823%27 May
mirage11–13-0.0511%26 May
ancient13–7-0.0411%26 May
mirage9–13-0.078%26 May
dust211–13-0.0411%26 May
dust26–13-0.0216%24 May
cache5–13-0.0817%24 May
inferno13–50.0820%24 May
inferno4–130.019%24 May
inferno1–13-0.0615%21 May
mirage13–10-0.0015%21 May
dust213–11-0.0011%21 May
cache7–13-0.0814%21 May
mirage13–6-0.055%21 May
dust213–9-0.0124%11 May
ancient13–60.0120%11 May
dust213–7-0.085%4 May
cache11–13-0.0423%4 May
mirage13–110.0521%29 Apr
dust212–120.0617%29 Apr
cache13–5-0.0815%29 Apr
cache13–9-0.049%29 Apr
cache9–11-0.088%29 Apr
dust28–13-0.0616%26 Apr
dust28–20.0314%26 Apr
mirage9–13-0.039%26 Apr
mirage11–13-0.096%25 Apr
nuke10–13-0.0715%25 Apr
mirage13–60.0214%24 Apr
dust213–5-0.045%24 Apr
mirage13–80.0432%24 Apr
dust213–4-0.0210%23 Apr
ancient13–5-0.0215%23 Apr
mirage2–13-0.059%23 Apr
inferno12–120.0018%23 Apr
ancient8–13-0.0416%21 Apr
dust213–9-0.0117%21 Apr
overpass5–13-0.0013%19 Apr
nuke6–13-0.0417%19 Apr
mirage6–13-0.034%15 Apr
dust213–11-0.0616%15 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 →