bongi

bongi — CS2 Stats

PL76561198982305424[U:1:1022039696]Steam profile ↗✓ No bans

532Tracked matches47%Win rate2020Tracked since
839Hours in CS
CSDB Rating5.2 DevelopingSupport
FaceitLevel 6Top 54.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 30 Aug 2026 (67 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 532
0.0ppWin rate · 46.7% → 46.7%

Rating over time

Premier CS Rating: 14,373 +3,766 3 Sept – 2 Jul · 34 days played
10,60717,214peak 17,2143 Sept2 Jul
17,265Peak Premier in tracked matches
1,283Highest Faceit ELO seen on CSDB
55Days played since 2025-08-26

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 6 among CSDB-tracked players (n=13,496), 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 6 medianLevel 7 medianvs Level 7
Headshot rate44.3%44.8%45.7%1.3% short
Shot accuracy13.7%12.4%12.7%above
Kill/death ratio1.101.031.05above
Match win rate48.3%45.2%45.7%above

This profile matches the typical Level 7 player on 3 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 7 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGbongiFACEITLevel 6STANDINGTop 54.0% of rankedPEAK ELO1,283csdb.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

Aim58
Positioning50
Utility60

0–100 skill scores via Leetify.

Recent form

COLD50–44–6Last 10050%Win rateLLLLLLLWWL

Last 10 vs previous 10: −20pp win rate · +0.00 avg rating · +4.4pp headshot accuracy · +23ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.00), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 0–5 · 0% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 26%
  • Avg reaction 624ms

Last 10

  • 2–8 · 20% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 21%
  • Avg reaction 619ms

Last 20

  • 6–14 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 19%
  • Avg reaction 608ms

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 (+1.5 against its own average).

Aim5.8
Utility6.0
Positioning5.0
Opening Duels3.8
Clutch3.0

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

m0NESY

Plays most like m0NESY 78% playstyle similarity

Most alike: utility contribution, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

Reaction time. 622ms 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

Aim5.8
Positioning5.0
Utility6.0
Mechanics5.7
Opening Duels3.2
Win Impact3.9

Composite 5.2/10 (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 rating0.02+0.00
first ⅓ avg 0.02 → last ⅓ avg 0.02
Reaction time623ms−24ms
first ⅓ avg 647ms → last ⅓ avg 623ms
Headshot accuracy18.8%−2.7%
first ⅓ avg 21.5% → last ⅓ avg 18.8%

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.

Personal bests

0.22Best match rating · 9–3 · inferno, 5 Apr →
58%Best headshot accuracy · 11–13 · mirage, 29 Aug →
422msFastest reaction time · 2–13 · inferno, 29 Aug →
13–2Biggest win · mirage, 29 Mar →

Across the last 100 tracked matches.

Highlights

7Longest win streak
L7Current streak
4–4In matches decided by ≤2 rounds
9Overtime games

Map breakdown

ancientBest map · 78% over 9mirageWeakest map · 38% over 34
MapGradePlayedRecordWin rateAvg rating
mirageC3413–2138%0.01
nukeS1612–475%0.02
infernoC166–1038%0.02
dust2A138–562%0.02
ancientS97–278%0.03
overpass—43–175%0.04
train—31–233%0.01
vertigo—10–10%0.00
debris—10–10%-0.03
anubis—10–10%-0.02
rooftop—10–10%0.04
agency—10–10%-0.06

Across the last 100 tracked matches.

Mirage is currently your weakest sufficiently-sampled map (38% over 34). Start with the 5 essential Mirage lineups, review the callouts, then spin up a practice server.

Lifetime stats

44,745Lifetime kills
1.10K/D · Top 50% of Level 6 players
2,237Matches
48.3%Match win rate · Top 25% of Level 6 players
44.3%Headshot %
13.7%Shot accuracy · Top 50% of Level 6 players
8,935MVPs
839Hours (in match)
3,448Bombs planted
712Bombs defused

Most-used weapons

AK-4710,882
AWP7,059
SSG 082,038
MP91,417
MAC-101,319
SG 5531,147

Lifetime map wins

2,772train
2,469inferno
2,081nuke
1,682lake
1,276vertigo
1,026dust2
125cbble
62safehouse

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

Faceit stats

Combat

451Matches
53%Win rate
1.04Avg K/D
79.3ADR
38%Headshot %

Clutches & streaks

35%1v1 clutch win
18%1v2 clutch win
9Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2050%1.0916.4
Vertigo1250%1.0518.1
Inferno1164%1.0614.7
Nuke1173%0.9715.7
Dust2650%1.3214.0
Ancient520%1.1617.2
Anubis580%0.7511.8
Train10%1.6436.0

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.

18.2%Headshot accuracy
32.9%Accuracy (enemy spotted)
36.2%Spray accuracy
75.8%Counter-strafing
10.6°Preaim
622msReaction time
37.0%T opening success
48.5%CT opening success
0.58Enemies flashed / flash
9.6%Flash assists
10.14HE damage / grenade
7.55Flashes / 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. 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 37.0273% — below the 40% mark we flag

Spend your practice time on Mirage

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

38% win rate across 34 tracked games — your weakest map with enough games to be worth reading into.

Mirage callouts & strategy →Mirage grenade lineups →

Recent matches

MapScoreRatingHS%Date
vertigo9–130.0023%12 Sept →
mirage7–13-0.0423%12 Sept →
debris5–9-0.0330%30 Aug →
mirage9–130.1732%30 Aug →
nuke2–130.0120%8 Aug →
mirage0–6-0.0517%1 Aug →
mirage11–130.0319%2 Jul →
ancient13–90.0213%2 Jul →
mirage13–40.0313%2 Jul →
dust26–130.0324%1 Jul →
mirage9–13-0.0215%1 Jul →
nuke13–60.0117%29 Jun →
inferno7–13-0.0119%23 Jun →
ancient13–60.0817%23 Jun →
mirage13–80.0310%23 Jun →
ancient13–50.0515%15 Jun →
mirage10–130.0325%9 May →
inferno7–9-0.0123%9 May →
mirage4–13-0.037%25 Apr →
dust29–130.0521%16 Apr →
mirage13–5-0.0540%16 Apr →
mirage6–13-0.0016%13 Apr →
mirage13–60.1316%13 Apr →
inferno13–10-0.0112%13 Apr →
mirage16–12-0.0312%5 Apr →
anubis7–13-0.0216%5 Apr →
dust213–5-0.0011%5 Apr →
mirage13–70.036%5 Apr →
inferno9–30.2223%5 Apr →
mirage13–20.0321%29 Mar →
ancient5–130.0225%29 Mar →
dust213–80.0727%29 Mar →
mirage2–13-0.0116%28 Mar →
mirage10–13-0.0623%24 Feb →
mirage9–130.0318%24 Feb →
dust213–90.0412%24 Feb →
dust213–70.0020%23 Feb →
inferno15–150.0621%3 Feb →
train13–9-0.025%3 Feb →
mirage7–13-0.0819%3 Feb →
inferno13–160.0228%1 Feb →
inferno11–13-0.0121%4 Jan →
overpass13–9-0.017%3 Jan →
nuke13–7-0.0221%3 Jan →
nuke16–130.0214%1 Jan →
ancient13–110.028%1 Jan →
mirage13–70.0414%1 Jan →
mirage13–90.1017%1 Jan →
inferno7–13-0.0010%31 Dec →
dust213–80.0822%30 Dec →
nuke15–15-0.0315%30 Dec →
mirage13–100.0334%29 Dec →
dust215–150.0125%27 Dec →
rooftop8–80.0426%18 Dec →
train9–13-0.0210%17 Dec →
mirage4–13-0.0818%10 Dec →
dust26–130.0622%6 Dec →
inferno10–130.0035%6 Dec →
dust213–10-0.0315%30 Nov →
mirage15–150.0522%30 Nov →
mirage5–130.0428%27 Nov →
nuke10–13-0.0126%26 Nov →
mirage6–13-0.0724%19 Nov →
mirage6–130.0510%17 Nov →
nuke13–60.0317%17 Nov →
mirage8–130.0618%17 Nov →
inferno5–13-0.0230%16 Nov →
mirage4–13-0.0532%16 Nov →
dust215–15-0.0511%9 Nov →
overpass13–60.0642%9 Nov →
overpass13–60.0515%6 Nov →
mirage7–13-0.0118%5 Nov →
dust213–60.0221%5 Nov →
inferno13–8-0.0212%19 Oct →
nuke13–100.0017%19 Oct →
nuke13–80.0310%12 Oct →
mirage13–110.0426%12 Oct →
nuke6–13-0.0431%12 Oct →
ancient7–13-0.0812%5 Oct →
nuke13–100.0424%2 Oct →
train13–160.0623%1 Oct →
mirage13–80.0822%1 Oct →
dust213–70.0222%1 Oct →
mirage13–100.0423%1 Oct →
inferno7–130.0325%30 Sept →
ancient13–70.0622%29 Sept →
nuke13–10-0.0118%24 Sept →
ancient13–80.0412%22 Sept →
overpass9–130.0615%22 Sept →
nuke13–100.0819%22 Sept →
nuke13–50.0115%17 Sept →
inferno13–60.0913%17 Sept →
inferno13–100.0220%4 Sept →
nuke9–70.0922%4 Sept →
ancient13–60.1029%3 Sept →
nuke13–90.0322%1 Sept →
inferno2–13-0.0327%29 Aug →
agency10–13-0.0623%29 Aug →
mirage11–13-0.0258%29 Aug →
inferno13–11-0.037%26 Aug →

Match data via Leetify.

Recent teammates

Milestones

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

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