bringDBONG

bringDBONG — CS2 Stats

76561198297745153[U:1:337479425]Steam profile ↗✓ No bans

1,110Tracked matches34%Win rate2022Tracked since
CSDB Rating6.2 SolidPositional Player
Premier CS Rating24,002Top 25% of 210,367 CSDB-tracked playersPink band · top ~4.1% of ranked players (population est.)
CSDB Leaderboard#32036 of 257420 tracked
FaceitLevel 8 · 1,739 ELOTop 31.2% of ranked FACEIT players
WingmanLegendary Eagle Master
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 7 Oct 2026 (18 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 24,002 -4,431 10 May – 7 Oct · 27 days played
22,85728,433peak 28,43310 May7 Oct
Faceit ELO: 1,739 +0 30 Aug – 24 Sept · 6 observations
1,7391,739peak 1,73930 Aug24 Sept
28,606Peak Premier in tracked matches
1,739Highest Faceit ELO seen on CSDB
35Days played since 2026-05-10

Faceit ELO

  • At peak — 1,739
  • 0 over 30 days · steady
  • Next: Level 9 at 1,751 — 12 to go
  • Reached: Level 8 · Level 7 · Level 6 · Level 5
  • Level 8 first seen 2026-08-30
  • Level 7 first seen 2026-08-30

Premier CS Rating

  • 4,431 below peak (28,433)
  • -174 over 30 days · steady
  • +626 over 90 days
  • Next: Red band at 25,000 — 998 to go
  • Reached: Red band · Pink band · Purple band · Blue band
  • Pink band first seen 2026-08-30
  • Purple band first seen 2026-08-30

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.

Share this profile

CSDB.GGbringDBONGFACEITLevel 8 · 1,739 ELOSTANDINGTop 31.2% of rankedPREMIER24,002 · Pink band30 DAYS0 ELOPEAK ELO1,739csdb.gg/stats

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Performance scores

Aim81
Positioning68
Utility54

0–100 skill scores via Leetify.

Recent form

COLD47–52–1Last 10047%Win rateLLLTLLWLLL

Last 10 vs previous 10: −40pp win rate · −0.04 avg rating · +6.7pp headshot accuracy · −21ms reaction

Win rate down 40pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 0–4–1 · 0% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 36%
  • Avg reaction 644ms

Last 10

  • 1–8–1 · 10% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 33%
  • Avg reaction 588ms

Last 20

  • 6–13–1 · 30% win rate
  • Avg rating 0.00
  • Avg headshot accuracy 29%
  • Avg reaction 598ms

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: Positional Player — Positioning stands above the rest of this profile (+1.5 against its own average).

Aim8.1
Utility5.4
Positioning6.8
Opening Duels3.5
Clutch5.4

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

iM

Plays most like iM 92% playstyle similarity

Most alike: positioning profile, utility contribution.

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. 595ms 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

Aim8.1
Positioning6.8
Utility5.4
Mechanics7.4
Opening Duels3.9
Win Impact0.0

Composite 6.2/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.00−0.01
first ⅓ avg 0.01 → last ⅓ avg 0.00
Reaction time595ms−32ms
first ⅓ avg 627ms → last ⅓ avg 595ms
Headshot accuracy28.4%+3.8%
first ⅓ avg 24.7% → last ⅓ avg 28.4%

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

0.15Best match rating · 13–5 · anubis, 15 May →
57%Best headshot accuracy · 13–2 · cache, 20 Jul →
438msFastest reaction time · 1–13 · ancient, 16 Sept →
13–1Biggest win · nuke, 6 Aug →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L3Current streak
7–6In matches decided by ≤2 rounds
3Overtime games

Map breakdown

infernoBest map · 60% over 15ancientWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
dust2B209–1145%-0.00
nukeA1810–856%0.01
infernoA159–660%0.01
anubisB157–847%0.03
cacheB147–750%0.01
ancientD103–730%0.02
mirage—40–40%-0.01
overpass—42–250%-0.00

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

321Matches
55%Win rate
0.96Avg K/D
69.8ADR
57%Headshot %

Clutches & streaks

47%1v1 clutch win
20%1v2 clutch win
7Longest win streak

Recent Faceit resultsWWWWW

MapMatchesWin rateAvg K/DAvg kills
Dust28853%0.8914.2
Nuke4665%1.0414.2
Inferno4065%0.8713.8
Mirage3741%0.8113.2
Cache3161%1.0614.4
Anubis2642%0.9615.8
Ancient1942%0.9415.8
Overpass1844%0.9214.0

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.

28.2%Headshot accuracy
34.9%Accuracy (enemy spotted)
33.3%Spray accuracy
83.4%Counter-strafing
9.3°Preaim
595msReaction time
43.6%T opening success
47.9%CT opening success
0.65Enemies flashed / flash
7.2%Flash assists
8.88HE damage / grenade
8.37Flashes / match

Recommended for you

Spend your practice time on Ancient

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategy →Ancient grenade lineups →

Recent matches

MapScoreRatingHS%Date
nuke3–13-0.0432%7 Oct →
dust211–13-0.0336%7 Oct →
nuke1–13-0.0933%7 Oct →
inferno15–15-0.0130%16 Sept →
dust26–130.0048%16 Sept →
ancient1–13-0.0029%16 Sept →
anubis13–50.0731%16 Sept →
anubis8–130.0328%15 Sept →
inferno6–13-0.0533%15 Sept →
dust29–13-0.0527%11 Sept →
ancient10–13-0.0126%11 Sept →
cache13–90.0527%10 Sept →
dust210–13-0.0426%10 Sept →
inferno13–90.0225%10 Sept →
dust29–130.0325%9 Sept →
cache13–50.0529%9 Sept →
nuke8–130.0222%2 Sept →
cache11–130.0428%2 Sept →
anubis13–80.0225%2 Sept →
nuke13–3-0.0127%1 Sept →
nuke13–90.0420%1 Sept →
cache4–13-0.0423%1 Sept →
mirage9–13-0.0128%27 Aug →
anubis13–110.0331%27 Aug →
nuke13–7-0.0114%27 Aug →
cache13–100.0336%27 Aug →
cache6–13-0.0423%26 Aug →
inferno5–130.0120%26 Aug →
nuke7–130.0441%14 Aug →
anubis10–130.0025%7 Aug →
inferno7–13-0.0133%7 Aug →
dust213–80.0430%6 Aug →
nuke13–50.0427%6 Aug →
nuke13–10.0537%6 Aug →
nuke7–13-0.0619%6 Aug →
inferno13–60.0439%5 Aug →
ancient13–60.0540%5 Aug →
cache13–5-0.0017%5 Aug →
nuke13–110.0024%31 Jul →
anubis10–13-0.0026%31 Jul →
dust213–90.0419%24 Jul →
inferno13–40.0046%24 Jul →
anubis2–13-0.046%24 Jul →
anubis6–130.0417%21 Jul →
cache6–13-0.0613%21 Jul →
ancient7–130.0222%21 Jul →
dust213–80.0614%20 Jul →
inferno13–70.0525%20 Jul →
dust213–9-0.0029%20 Jul →
cache13–20.1057%20 Jul →
cache13–70.0740%16 Jul →
anubis6–13-0.0116%16 Jul →
anubis13–110.0117%14 Jul →
dust23–13-0.0535%14 Jul →
cache7–13-0.0913%14 Jul →
nuke13–80.0819%14 Jul →
cache7–130.0829%13 Jul →
anubis13–90.0323%13 Jul →
dust213–90.0823%13 Jul →
cache13–50.0022%13 Jul →
inferno13–20.0826%13 Jul →
nuke13–70.0521%13 Jul →
nuke0–13-0.020%10 Jul →
inferno13–110.1023%10 Jul →
anubis13–30.0432%10 Jul →
cache10–13-0.0017%10 Jul →
dust26–13-0.1215%10 Jul →
dust213–6-0.0314%9 Jun →
nuke9–13-0.0720%31 May →
ancient13–16-0.0120%25 May →
inferno13–5-0.0227%25 May →
dust26–130.0421%25 May →
mirage0–130.0215%20 May →
dust27–13-0.0428%20 May →
nuke8–130.0818%20 May →
anubis6–13-0.0142%20 May →
dust213–60.0137%20 May →
ancient13–80.1422%20 May →
inferno13–10-0.0129%19 May →
dust213–8-0.0129%18 May →
anubis11–130.1122%17 May →
ancient9–13-0.0333%17 May →
ancient11–130.0432%17 May →
nuke13–70.0023%17 May →
overpass13–100.0436%17 May →
dust210–13-0.0429%17 May →
inferno10–13-0.0922%16 May →
anubis13–50.1535%15 May →
ancient16–120.0021%15 May →
inferno6–130.0626%14 May →
mirage5–13-0.0426%13 May →
overpass11–130.0528%13 May →
dust29–130.0825%11 May →
mirage4–13-0.0116%11 May →
overpass0–13-0.094%10 May →
dust213–110.0222%10 May →
ancient11–13-0.0130%10 May →
inferno13–110.0420%10 May →
nuke13–110.0520%10 May →
overpass13–8-0.0025%10 May →

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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